19 Rbac Jobs in Delhi

Job Title: OCP L3 Support EngineerLocation: NoidaExperience Level: 5-10 years Role Overview The OCP L3 Support Engineer installs, configures, and maintains OpenShift clusters to ensure high availability, reliability, and optimal performance of containerized environments. This hands-on role focuses on advanced troubleshooting, observability setup with Prometheus/Grafana/Alertmanager, cluster upgrades, security hardening, and backup/recovery operations. Collaboration with development teams supports seamless CI/CD deployments via Quay registry and related tools. Key Responsibilities Install, configure, and upgrade OpenShift clusters, including logging, monitoring (Prometheus, Grafana, Alertmanager), and observability configurations. Perform cluster security assessments, implement RBAC/policies, and manage Quay registry for container images. Troubleshoot complex L3 issues across cluster installation, networking, storage, and application deployments; conduct root cause analysis. Handle backups, disaster recovery, and high-availability setups; optimize cluster performance and resource utilization. Support CI/CD pipelines with containerization tools; document procedures and train L1/L2 teams on best practices. Required Skills Expertise in OpenShift/Kubernetes: cluster installation, upgrades, logging, Prometheus/Grafana monitoring, Alertmanager, security, backup/recovery. Proficiency in containerization (Docker/Podman), Quay registry, CI/CD tools (Jenkins/ArgoCD), and troubleshooting. Strong analytical skills for performance tuning and issue resolution in production environments. Qualifications Education: B.Tech in Computer Science or related field. Experience: 5-10 years in OpenShift administration/support, with hands-on L3 exposure. Interview: Enrichment AI Interview Agentic.

Hi,  We are hiring for Sailpoint Developers for one of our Premium client.   Position: SailPoint IdentityIQ Developer / Lead Location: Pan India Experience: 5 to 16 Years | Levels: Senior Associate / Senior Manager We are looking for skilled SailPoint IdentityIQ professionals with strong experience in IAM solution design, implementation, and customization. Required Experience: SailPoint IIQ implementation, customization, workflows, rules, and connectors Strong Core Java / J2EE and API integration skills Hands-on with RBAC, provisioning, access certification, governance Experience with Active Directory, LDAP, SAML, OAuth, SQL Good understanding of compliance standards (SOX, GDPR) Preferred: Azure AD / AWS IAM REST/SOAP integrations and workflow design If interested, please share your resume at rajeshwari@peoplefirst.cco.in  Regards, Raji 

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

As a candidate for the role at one of Weekday's clients located in Faridabad, you will be responsible for managing Azure infrastructure, leading DevOps and automation efforts, ensuring cloud security, optimizing performance and cost, engaging with stakeholders, handling incident and problem management, sharing knowledge, and promoting research and innovation. **Key Responsibilities:** - **Azure Infrastructure Management:** - Design, implement, and manage scalable, highly available, and fault-tolerant infrastructure in Microsoft Azure. - Provision and maintain core Azure services such as compute, storage, and networking based on business needs. - Apply Azure best practices around cost optimization, performance tuning, and security. - Monitor infrastructure using Azure Monitor, Azure Security Center, and other related tools. - Ensure business continuity with effective high availability and disaster recovery strategies. - **DevOps & Automation:** - Lead infrastructure and application deployment automation using Infrastructure as Code (IaC) tools like ARM Templates, Terraform, Bicep (nice to have), and Ansible. - Develop and maintain CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, or similar. - Collaborate with development teams to streamline code deployment and enforce DevOps best practices. - Oversee version control, release processes, and change management workflows. - **Cloud Security:** - Configure and manage cloud security including identity and access management using Azure AD and RBAC. - Implement security controls such as firewalls, encryption, VPNs, and network segmentation. - Apply regular updates and patches in response to evolving security threats and compliance standards. - **Performance Optimization & Cost Management:** - Monitor and fine-tune resource performance for cost-effective operations. - Utilize Azure Cost Management tools to control cloud spend and implement budgeting strategies. - Review cloud resource usage and recommend enhancements for performance and efficiency. - **Collaboration & Stakeholder Engagement:** - Serve as the key contact for all infrastructure and DevOps-related activities. - Partner with cross-functional teams to align infrastructure solutions with project goals. - Mentor junior engineers and foster a culture of knowledge sharing within the team. - **Incident & Problem Management:** - Take ownership of infrastructure-related incidents, ensuring prompt resolution and minimal disruption. - Conduct root cause analysis post-incident and implement preventive measures. - **Documentation & Knowledge Sharing:** - Create and maintain detailed documentation for deployments, processes, and configurations. - Develop internal knowledge bases, runbooks, and standard operating procedures. - Lead training sessions to upskill team members on tools and cloud technologies. - **Research & Innovation:** - Stay updated with advancements in Azure services, DevOps trends, and automation practices. - Evaluate and implement emerging tools and techniques to enhance performance and scalability. - Drive continuous improvement through innovation and process automation. **Qualifications Required:** - Minimum of 7 years of experience - Skills and knowledge in Microsoft Azure, Azure DevOps, Kubernetes, Terraform/ARM Templates/Bicep, CI/CD practices, Azure AD, RBAC, and security tools. You will be expected to stay current with industry trends, contribute to a culture of innovation, and continuously enhance your skills to meet the evolving needs of the organization.,

As an experienced Lead Data Engineer, you will be responsible for designing, building, and optimizing cloud-native data platforms on AWS. Your main focus will be leading a team of Data Engineers to develop scalable data pipelines, modern data architectures, and enterprise-grade data solutions for BFSI customers. **Key Responsibilities:** - Lead, mentor, and manage a team of Data Engineers to deliver high-quality outcomes. - Own project planning, task delegation, sprint delivery, and quality assurance. - Collaborate with cross-functional teams including data scientists, analysts, architects, and product teams. **Data Engineering & Architecture:** - Architect, design, and implement scalable data pipelines using AWS, PySpark, and Airflow. - Build and maintain ETL/ELT processes for ingestion, transformation, and publishing of structured/unstructured data. - Develop scalable data models and cloud-native architectures aligned with BFSI requirements. - Optimize data processing (Spark), data storage (S3, Iceberg/Hudi/Delta), and query performance. **Cloud & Platform Engineering:** - Work across AWS services such as S3, Glue, EMR, Lambda, Redshift, Kinesis, RDS, CloudWatch, IAM. - Ensure cost-efficiency, reliability, and scalability of the cloud data environment. - Implement automation for CI/CD, data deployments, and pipeline orchestration. **Governance, Security & Compliance:** - Enforce data governance standards, lineage tracking, and data quality frameworks. - Implement data security, encryption, RBAC, and compliance aligned with BFSI/regulatory norms. - Ensure high availability, monitoring, and proactive issue resolution. **Required Skills & Experience:** - 6+ years of hands-on experience in data engineering. - Strong expertise in PySpark for distributed data processing. - Experience building and orchestrating pipelines using Airflow. - Strong AWS experience with focus on data services. - Advanced SQL skills and experience in OLTP, OLAP, Data Lakes, and Data Warehouses. - Experience with Hudi / Iceberg / Delta Lake. - Proficiency in Python for ETL, utilities, and API integrations. - Understanding of big data technologies (Spark, Hadoop ecosystem). **Preferred Skills:** - Experience in BFSI data ecosystems. - Exposure to Docker, Kubernetes, and containerized data applications. - API development experience (preferably Python/FastAPI/Flask). - Experience working with data scientists and BI teams. **Behavioral & Leadership Skills:** - Strong ownership mindset and accountability. - Excellent problem solving and debugging skills. - Ability to mentor junior team members and lead by example. - Strong communication and stakeholder management. - Ability to work in a fast-paced, entrepreneurial environment. **Education:** - Bachelors or Masters degree in Computer Science, Engineering, or related field.,

Role Overview: As a full-time AI and Backend Engineer at KenomeAI, your primary responsibility will be to design and develop scalable backend systems for a large SaaS platform. You will work with Python, FastAPI, and Alembic for backend development and migrations, and collaborate on both new projects and large existing codebases. Additionally, you will plan and implement system architecture with a focus on session management, audit logging, RBAC, resource management, and deployment. Your role will also involve building and extending AI-driven features using LangChain and Model Context Protocol (MCP), ensuring security, compliance, and robust performance in all backend components. Key Responsibilities: - Design and develop scalable backend systems for a large SaaS platform - Work with Python, FastAPI, and Alembic for backend development and migrations - Plan and implement system architecture with a focus on session management, audit logging, RBAC, resource management, and deployment - Build and extend AI-driven features using LangChain and Model Context Protocol (MCP) - Ensure security, compliance, and robust performance in all backend components - Collaborate on both new projects and large existing codebases Qualifications Required: - Proficiency in Python, FastAPI, and Alembic - Understanding of session management, audit logging, RBAC, and resource management - Experience with system design for SaaS, including security and compliance best practices - Familiarity with developing AI-based platforms, especially LangChain and MCP (Model Context Protocol by Anthropic) - Experience working with large, existing codebases - Experience with SaaS platforms is a plus Additional Details: KenomeAI, a bootstrapped startup, is building a next-gen enterprise AI workflow automation and knowledge search platform. The company is looking for individuals who possess strong comprehension and problem-solving skills. The role is open to college students, recent graduates, and experienced developers, regardless of the number of years of experience. Applicants are encouraged to apply by submitting their resume and portfolio. (Note: The above details are derived from the provided Job Description.) Role Overview: As a full-time AI and Backend Engineer at KenomeAI, your primary responsibility will be to design and develop scalable backend systems for a large SaaS platform. You will work with Python, FastAPI, and Alembic for backend development and migrations, and collaborate on both new projects and large existing codebases. Additionally, you will plan and implement system architecture with a focus on session management, audit logging, RBAC, resource management, and deployment. Your role will also involve building and extending AI-driven features using LangChain and Model Context Protocol (MCP), ensuring security, compliance, and robust performance in all backend components. Key Responsibilities: - Design and develop scalable backend systems for a large SaaS platform - Work with Python, FastAPI, and Alembic for backend development and migrations - Plan and implement system architecture with a focus on session management, audit logging, RBAC, resource management, and deployment - Build and extend AI-driven features using LangChain and Model Context Protocol (MCP) - Ensure security, compliance, and robust performance in all backend components - Collaborate on both new projects and large existing codebases Qualifications Required: - Proficiency in Python, FastAPI, and Alembic - Understanding of session management, audit logging, RBAC, and resource management - Experience with system design for SaaS, including security and compliance best practices - Familiarity with developing AI-based platforms, especially LangChain and MCP (Model Context Protocol by Anthropic) - Experience working with large, existing codebases - Experience with SaaS platforms is a plus Additional Details: KenomeAI, a bootstrapped startup, is building a next-gen enterprise AI workflow automation and knowledge search platform. The company is looking for individuals who possess strong comprehension and problem-solving skills. The role is open to college students, recent graduates, and experienced developers, regardless of the number of years of experience. Applicants are encouraged to apply by submitting their resume and portfolio. (Note: The above details are derived from the provided Job Description.)

Role Overview: As a Python Backend Engineer, you will play a crucial role in owning and evolving the backend architecture of a large-scale analytical platform. This platform processes massive datasets and caters to thousands of concurrent users in real time. Your responsibilities will include designing low-latency, secure, and reliable APIs, integrating GenAI-powered workflows, and ensuring that the system maintains top-notch performance, scalability, and resilience. Key Responsibilities: - Possess at least 3-7 years of professional Python backend development experience - Demonstrate expertise in REST API design and microservices architecture - Exhibit strong proficiency in implementing security best practices for backend systems - Have experience with SSE, WebSockets, and event-driven architecture - Showcase strong database skills, including familiarity with PostgreSQL/MySQL, MongoDB, or other NoSQL systems - Implement authentication & authorization protocols such as OAuth2, JWT, and RBAC - Lead technical discussions effectively and provide mentorship to fellow developers Qualifications Required: - Exposure to MCP and A2A would be advantageous - Hands-on experience with LlamaIndex, LangChain, or similar AI tooling is desirable - Familiarity with logging, monitoring, and tracing tools like ELK, Prometheus, Grafana, and OpenTelemetry - Knowledge of AWS cloud services, particularly EC2, Lambda, S3, and API Gateway - Experience with Kubernetes orchestration, EKS preferred - Proficiency in setting up CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI - Understanding of Infrastructure-as-Code principles, such as Terraform and CloudFormation - Familiarity with messaging systems like Kafka, RabbitMQ, and AWS SNS/SQS - Knowledge of caching strategies involving Redis and Memcached - Experience with containerization using Docker and image optimization techniques - Understanding of serverless computing patterns - Exposure to Matplotlib or backend-driven chart generation - Proficiency in using performance profiling and load testing tools like Locust and JMeter (Note: Additional details about the company were not provided in the job description.),

As an experienced professional in authorization and access management, you will play a crucial role in defining, implementing, and managing the enterprise authorization framework and architecture using PlainID PBAC. Your responsibilities will include: - Designing and configuring fine-grained authorization policies, rules, and entitlements in PlainID. - Integrating PlainID with enterprise directories such as Active Directory, LDAP, and IAM platforms. - Collaborating with business and application teams to translate authorization requirements into dynamic PBAC policies. - Implementing access management policies and enforcing authorization across various applications, APIs, and cloud services. - Configuring and managing PlainID policy decision points (PDPs) and enforcement points (PEPs). - Troubleshooting and resolving issues in PlainID deployments, policy conflicts, and runtime decisions. - Collaborating with development teams to support REST API and JSON-based integrations. - Independently driving technical tasks and providing support during policy implementation phases. - Delivering technical documentation, knowledge transfer, and transition processes to managed security operations. Your professional and technical skills will be put to the test, including: - Strong knowledge of PBAC, ABAC, and RBAC models. - Hands-on experience with PlainID configuration, policy design, and management. - Familiarity with REST APIs, JSON, and policy-as-code concepts for integration. - Experience integrating PlainID with Active Directory, LDAP, and IAM solutions. - Proficiency in authorization and access management standards such as SAML, OAuth 2.0, OIDC, XACML. - Solid troubleshooting skills in policy authoring, entitlement conflicts, and runtime decisions. - Development experience with J2EE, Java, or JavaScript for policy integrations. - Ability to independently manage complex technical tasks and projects. - Excellent verbal and written communication skills. It is essential that you have relevant experience to excel in this role. As an experienced professional in authorization and access management, you will play a crucial role in defining, implementing, and managing the enterprise authorization framework and architecture using PlainID PBAC. Your responsibilities will include: - Designing and configuring fine-grained authorization policies, rules, and entitlements in PlainID. - Integrating PlainID with enterprise directories such as Active Directory, LDAP, and IAM platforms. - Collaborating with business and application teams to translate authorization requirements into dynamic PBAC policies. - Implementing access management policies and enforcing authorization across various applications, APIs, and cloud services. - Configuring and managing PlainID policy decision points (PDPs) and enforcement points (PEPs). - Troubleshooting and resolving issues in PlainID deployments, policy conflicts, and runtime decisions. - Collaborating with development teams to support REST API and JSON-based integrations. - Independently driving technical tasks and providing support during policy implementation phases. - Delivering technical documentation, knowledge transfer, and transition processes to managed security operations. Your professional and technical skills will be put to the test, including: - Strong knowledge of PBAC, ABAC, and RBAC models. - Hands-on experience with PlainID configuration, policy design, and management. - Familiarity with REST APIs, JSON, and policy-as-code concepts for integration. - Experience integrating PlainID with Active Directory, LDAP, and IAM solutions. - Proficiency in authorization and access management standards such as SAML, OAuth 2.0, OIDC, XACML. - Solid troubleshooting skills in policy authoring, entitlement conflicts, and runtime decisions. - Development experience with J2EE, Java, or JavaScript for policy integrations. - Ability to independently manage complex technical tasks and projects. - Excellent verbal and written communication skills. It is essential that you have relevant experience to excel in this role.

You should have 6-11 years of experience and demonstrate a strong understanding of Saviynt product functionalities, such as provisioning, access certification, SOD (Segregation of Duties), analytics, RBAC (Role-Based Access Control), workflow, email notifications, and related modules. You are expected to validate end-to-end (E2E) integrations using the DevOps model for secure and reliable deployment across environments. Your responsibilities include translating business requirements into clear, actionable manual and automated test cases and planning and executing test cases and scenarios efficiently using automation. - Design, develop, and maintain automated test suites utilizing Robot Framework and Python scripts for fast, repeatable, and robust validation. - Create and manage automation scripts for regression, integration, and sanity testing, following best practices in code management and versioning. - Integrate automated testing into CI/CD pipelines with DevOps to ensure seamless automation within the deployment lifecycle. - Track, document, and prioritize defects, performing defect re-testing using both automated and manual approaches and collaborating closely with developers for issue resolution. - Participate in production releases and conduct automated smoke and validation testing post-deployment to ensure system stability. - Utilize ITSM tools for ticket management, documentation, and tracking test activities and results. - Continuously assess and optimize automation strategies to enhance test effectiveness and reduce manual effort. - Exhibit excellent communication skills to enable clear reporting of test results and coordination across cross-functional teams. You should possess excellent communication skills to report test results clearly and coordinate effectively with cross-functional teams.,

As a SQL Tech Lead, you will play a crucial role in overseeing the management and optimization of SQL databases to ensure optimal performance, security, and reliability. Key Responsibilities: - Managing and maintaining Azure SQL Database and Azure SQL Managed Instances. - Performing regular backup and restore operations to guarantee data integrity and availability, including testing recovery strategies and automating backup processes. - Writing, optimizing, and troubleshooting stored procedures to enhance database functionality and performance, ensuring efficient query execution plans and minimizing resource usage. - Overseeing the management and maintenance of database clusters, including setup, configuration, and monitoring of cluster health and performance. - Implementing and managing comprehensive user and role management strategies along with Role-Based Access Control (RBAC) to ensure secure access and compliance with internal policies. - Setting up, configuring, and managing Disaster Recovery (DR) and High Availability (HA) solutions to ensure business continuity, including regular testing and documentation of DR plans. - Planning and executing the migration of SQL databases to newer environments or cloud platforms, ensuring minimal downtime and data loss. - Optimizing and maintaining databases using advanced techniques such as indexing, partitioning, and query optimization to improve performance and efficiency. - Working with on-premises SQL Servers 2014, 2016, and 2022, ensuring their optimal performance and security through regular updates, patching, and monitoring. - Conducting query optimization and performance tuning to enhance database performance, including analyzing query execution plans, identifying bottlenecks, and implementing improvements. - Scheduling and managing database jobs to automate routine tasks and maintenance, ensuring timely execution and monitoring of job outcomes. - Collaborating with development teams to design and implement database solutions that meet application requirements and performance goals. - Monitoring database performance and providing proactive recommendations for improvements, including capacity planning and trend analysis. - Providing technical leadership and mentorship to junior DBAs and other team members, fostering a culture of continuous learning and improvement. - Staying current with industry trends and best practices in database administration and management and applying this knowledge to improve our database systems. Qualifications and Experience: - Bachelor's degree in computer science, Information Technology, or a related field. - 12+ years of total experience in the field of database administration and management. - 6-8 years of relevant experience working with SQL databases, particularly with Azure SQL DB and Azure SQL Managed Instances. - In-depth knowledge of database backup, restore, and recovery procedures. - Proficiency in writing and troubleshooting stored procedures. - Experience in managing database clusters and implementing user and role management with RBAC. - Expertise in setting up DR and HA solutions. - Proven experience in migrating SQL databases and optimizing their performance. - Strong knowledge of on-premises SQL Servers 2014, 2016, and 2022. - Advanced skills in query optimization, performance tuning, and job scheduling. - Excellent problem-solving and analytical skills. - Strong communication and teamwork abilities. Preferred Skills: - Certification in SQL Server or related technologies. - Familiarity with cloud platforms other than Azure, such as AWS or Google Cloud Platform. - Knowledge of additional database systems and technologies. - Experience with database security best practices.,

As an experienced Lead Data Engineer, you will be responsible for designing, building, and optimizing cloud-native data platforms on AWS. Leading a team of Data Engineers, you will drive the end-to-end development of scalable data pipelines, modern data architectures, and enterprise-grade data solutions for BFSI customers. Your role will involve hands-on work across architecture, development, optimization, and team leadership. Key Responsibilities: - Lead, mentor, and manage a team of Data Engineers to deliver high-quality outcomes. - Own project planning, task delegation, sprint delivery, and quality assurance. - Collaborate with cross-functional teams including data scientists, analysts, architects, and product teams. Data Engineering & Architecture: - Architect, design, and implement scalable data pipelines using AWS, PySpark, and Airflow. - Build and maintain ETL/ELT processes for ingestion, transformation, and publishing of structured/unstructured data. - Develop scalable data models and cloud-native architectures aligned with BFSI requirements. - Optimize data processing (Spark), data storage (S3, Iceberg/Hudi/Delta), and query performance. Cloud & Platform Engineering: - Work across AWS services such as S3, Glue, EMR, Lambda, Redshift, Kinesis, RDS, CloudWatch, IAM. - Ensure cost-efficiency, reliability, and scalability of the cloud data environment. - Implement automation for CI/CD, data deployments, and pipeline orchestration. Governance, Security & Compliance: - Enforce data governance standards, lineage tracking, and data quality frameworks. - Implement data security, encryption, RBAC, and compliance aligned with BFSI/regulatory norms. - Ensure high availability, monitoring, and proactive issue resolution. Required Skills & Experience: - 6+ years of hands-on experience in data engineering. - Strong expertise in PySpark for distributed data processing. - Experience building and orchestrating pipelines using Airflow (DAGs, scheduling, monitoring). - Strong AWS experience with focus on data services. - Advanced SQL skills and experience in OLTP, OLAP, Data Lakes, and Data Warehouses. - Experience with Hudi / Iceberg / Delta Lake. - Proficiency in Python for ETL, utilities, and API integrations. - Understanding of big data technologies (Spark, Hadoop ecosystem). Preferred Skills: - Experience in BFSI (Banking, Insurance, NBFCs, AMCs) data ecosystems. - Exposure to Docker, Kubernetes, and containerized data applications. - API development experience (preferably Python/FastAPI/Flask). - Experience working with data scientists and BI teams. Education: - Bachelors or Masters degree in Computer Science, Engineering, or related field.,

As a member of MetricVibes, you will be part of a team that is launching QuerySafeIndias first privacy-native AI platform. You will play a crucial role in maintaining and upgrading our React (Frontend) and Python (Backend) codebase, managing our Serverless stack on Google Cloud (Cloud Run, Vertex AI, Cloud SQL), optimizing our RAG (Retrieval Augmented Generation) pipelines, and implementing security measures such as role-based access control (RBAC). **Key Responsibilities:** - Maintain and upgrade the React (Frontend) and Python (Backend) codebase. - Manage the Serverless stack on Google Cloud (Cloud Run, Vertex AI, Cloud SQL) ensuring uptime and auto-scaling. - Optimize RAG pipelines using Gemini 1.5 Pro and Vector Search. - Implement role-based access control (RBAC) and manage SOC2-ready infrastructure. **Qualifications Required:** - Proven experience as a proactive problem solver who takes initiative to fix issues without waiting for tickets. - Proficiency in both React.js / Next.js for Frontend and Python (FastAPI/Flask, Django) for Backend. - Hands-on experience with Google Cloud Platform (Cloud Run, Vertex AI, GCS) and DevOps tools like Docker, GitHub Actions. - Strong understanding of cloud architecture and deployment, with a preference for GCP. - Desire to progress from a "Coder" role to a "Lead Engineer." At MetricVibes, you will have the opportunity to work on cutting-edge technologies and contribute to the growth of our innovative AI platform. Join us if you are passionate about technology, eager to learn, and ready to make a significant impact in the field of data analytics.,

Role Overview: You will be a part of the Infrastructure and Developer Platform (IDP) team within Microsoft Security, which is crucial for supporting the Defender suite by providing a foundational platform to simplify service deployment, enhance security, and reduce operational costs. Your role will involve working at the intersection of C/.NET SDK development and Kubernetes to enable AI-driven development workflows across the Microsoft Threat Protection (MTP) organization. By streamlining infrastructure and developer tools, you will empower engineers to build and scale services more efficiently and reliably, contributing to Microsoft's leadership in cybersecurity. Key Responsibilities: - Define and drive the Kubernetes security roadmap, ensuring alignment with organizational security and compliance requirements. - Establish and enforce best practices for securing Kubernetes workloads, including network policies, RBAC, and supply chain security. - Partner with Microsoft Security, Compliance, and Platform Engineering teams to align Kubernetes security initiatives with broader security frameworks. - Lead the design, implementation, and enforcement of secure-by-default configurations for AKS and Kubernetes workloads. - Engage with internal and external security communities, contributing to security standards and best practices within Microsoft. - Lead and mentor a team of security-focused engineers, fostering a culture of innovation, collaboration, and operational excellence. - Establish team OKRs/KPIs for measuring security improvements and operational effectiveness. Qualifications: - 8-10 years of experience in software engineering. - 2-4 years of experience in a people management role. - Strong understanding of Kubernetes security concepts, including network policies, RBAC, workload identity, container runtime security, and supply chain security. - Hands-on experience with Kubernetes on major cloud providers (Azure AKS, AWS EKS, GCP GKE) and security best practices for cloud-native workloads. - Familiarity with Terraform, Pulumi, or other IaC tools to manage Kubernetes deployments securely. - Experience implementing secure CI/CD pipelines, image scanning, policy enforcement, and runtime security tools. - Knowledge of detecting, analyzing, and responding to security incidents in Kubernetes environments. - Proven ability to lead security-focused engineering teams and collaborate with cross-functional teams. - Experience with container-based development, including Docker and Kubernetes. - Deep understanding of Azure Kubernetes Service (AKS) security features. - Bachelors Degree AND 4+ years experience in software engineering, or product development OR equivalent experience. - Ability to work effectively with cross-functional teams and manage multiple priorities. - Ability to work across different geographies, including the United States, Israel, and India. - Experience using Azure DevOps for tracking planning and execution. (Note: Other requirements and benefits/perks have been omitted as per the instructions provided),

As a Solution Architect + Azure AI Architect, you will play a crucial role in leading the architecture and design of intelligent, secure, and scalable enterprise applications leveraging Azure technologies. This fully remote position offers an exciting opportunity to work on cutting-edge Azure platforms. Key Responsibilities: - Define end-to-end architecture utilizing Azure App Services, Blob Storage, Azure Cognitive Search, and/or Azure OpenAI. - Design highly scalable, modular, and secure document processing and management systems. - Create metadata models, define tagging strategies, and plan complex content relationships. - Ensure seamless integration with Azure Active Directory (Azure AD), DevOps pipelines, and administrative workflows. - Lead the design of AI-powered search and recommendation engines, delivering intelligent and personalized user experiences. - Drive best practices in cloud security, performance optimization, and data governance throughout the solution. Qualifications Required: - Proven experience in architecting cloud solutions on Microsoft Azure. - Expertise in Azure Cognitive Services, Azure OpenAI, and Cognitive Search. - Solid understanding of RBAC security, identity integration, and cloud-based content lifecycle management. - Experience working with large-scale metadata-driven architectures.,

As a Senior Power BI Developer at our company, you will be responsible for designing, developing, and implementing robust and insightful business intelligence solutions using Power BI. Your role will involve translating complex business requirements into clear, interactive, and high-performance dashboards and reports, driving data-driven decision-making across the organization. **Responsibilities:** - Lead the design, development, and implementation of complex, interactive, and user-friendly dashboards and reports using Power BI. - Translate diverse business requirements into technical specifications and impactful data visualizations. - Develop and optimize Power BI datasets, analyses, and dashboards for performance, scalability, and maintainability. - Implement advanced Power BI features such as rbac, parameters, calculated fields, custom visuals, and dynamic filtering. - Ensure data accuracy, consistency, and integrity within all Power BI reports and dashboards. - Identify and address performance bottlenecks in Power BI dashboards and underlying data sources. - Implement best practices for Power BI security, user access, and data governance. - Monitor Power BI usage and performance, recommending improvements as needed. - Ensure compliance with data security policies and governance guidelines when handling sensitive data within Power BI. **Continuous Improvement:** - Stay up-to-date with the latest features, releases, and best practices in Power BI. - Proactively identify opportunities for process improvement and automation in BI development workflows. - Work in an Agile/Scrum environment, actively participating in sprint planning, reviews, and retrospectives. **Required Skills And Qualifications:** - Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field. - 8-10 years of overall IT experience, with 4-5 years of hands-on experience designing and developing complex dashboards and reports using Power BI. - Strong proficiency in SQL (writing complex queries, stored procedures, functions, DDL). - In-depth understanding of BI. - Extensive experience with various AWS services relevant to data analytics, including Redshift (data warehouse) and RDS (relational databases). - Proven ability to translate business requirements into technical solutions and effective data visualizations. - Excellent analytical, problem-solving, and critical thinking skills. - Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders. - Experience working in an Agile development methodology. **Preferred Skills (Nice To Have):** - Experience with other BI tools (e.g., Tableau etc) is a plus, demonstrating a broad understanding of the BI landscape. - Proficiency in Python or other scripting languages for data manipulation and automation. As a Senior Power BI Developer at our company, you will be responsible for designing, developing, and implementing robust and insightful business intelligence solutions using Power BI. Your role will involve translating complex business requirements into clear, interactive, and high-performance dashboards and reports, driving data-driven decision-making across the organization. **Responsibilities:** - Lead the design, development, and implementation of complex, interactive, and user-friendly dashboards and reports using Power BI. - Translate diverse business requirements into technical specifications and impactful data visualizations. - Develop and optimize Power BI datasets, analyses, and dashboards for performance, scalability, and maintainability. - Implement advanced Power BI features such as rbac, parameters, calculated fields, custom visuals, and dynamic filtering. - Ensure data accuracy, consistency, and integrity within all Power BI reports and dashboards. - Identify and address performance bottlenecks in Power BI dashboards and underlying data sources. - Implement best practices for Power BI security, user access, and data governance. - Monitor Power BI usage and performance, recommending improvements as needed. - Ensure compliance with data security policies and governance guidelines when handling sensitive data within Power BI. **Continuous Improvement:** - Stay up-to-date with the latest features, releases, and best practices in Power BI. - Proactively identify opportunities for process improvement and automation in BI development workflows. - Work in an Agile/Scrum environment, actively participating in sprint planning, reviews, and retrospectives. **Required Skills And Qualifications:** - Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field. - 8-10 years of overall IT experience, with 4-5 years of hands-on experience designing and developing complex dashboards and reports using Power BI. - Strong proficiency in SQL (writing complex queries, stored procedures, functions, DDL). - In-depth understanding of BI. - Extensive

As a Senior Executive in IT Infrastructure at Cognitio Analytics, your role will involve managing the Azure cloud strategy, operations, and optimization initiatives. You will be responsible for designing and implementing scalable, secure, and resilient Azure infrastructure solutions, evaluating and integrating new Azure services, managing day-to-day operations, optimizing workloads, developing cost optimization strategies, ensuring security and compliance, and leading and mentoring a team of cloud engineers. Key Responsibilities: - Design and implement scalable, secure, and resilient Azure infrastructure solutions. - Define and enforce cloud architecture standards and best practices. - Evaluate and integrate new Azure services, including Kubernetes (AKS) and Databricks, to support business needs. - Manage day-to-day operations of Azure infrastructure, ensuring performance, reliability, and scalability. - Implement automation for provisioning, configuration, and deployment using Terraform, ARM templates, or Bicep. - Optimize workloads using Azure Monitor, Log Analytics, and Application Insights. - Develop and execute cost optimization strategies across Azure services. - Monitor cloud spend using Azure Cost Management and generate actionable insights. - Implement governance policies to control resource usage and enforce budget limits. - Ensure infrastructure complies with internal security policies and external regulatory requirements. - Manage identity and access controls using Azure AD and RBAC. - Deploy, manage, and scale containerized applications using Azure Kubernetes Service (AKS). - Integrate and optimize data workflows using Azure Databricks for analytics and machine learning. - Lead and mentor a team of cloud engineers and support staff. - Collaborate with application, DevOps, and business teams to support cloud-native and hybrid deployments. - Act as a key point of contact for cloud-related initiatives. Required Skills & Qualifications: - 6-7 years of experience in Azure cloud infrastructure, with at least 2 years in a managerial or lead role. - Strong understanding of Azure IaaS, PaaS, SaaS, and hybrid cloud environments. - Proven expertise in Azure cost management, budgeting, and optimization. - Hands-on experience with AKS (Azure Kubernetes Service) and Azure Databricks. - Proficiency in Azure networking, storage, compute, and security services. - Experience with Infrastructure as Code (Terraform, ARM, Bicep) and CI/CD pipelines. - Excellent communication, leadership, and stakeholder management skills. - Relevant domain knowledge in DNS, Cloud Storage, Backup, Commvault Virtual Machine, Azure Policies, etc. - Azure certifications such as AZ-104, AZ-305, AZ-500, or FinOps Practitioner are highly desirable. Preferred Qualifications: - Bachelors or Masters degree in Computer Science, Information Technology, or related field. - Exposure to multi-cloud environments (AWS, GCP) is a plus. - Familiarity with ITIL practices and cloud governance frameworks. As a Senior Executive in IT Infrastructure at Cognitio Analytics, your role will involve managing the Azure cloud strategy, operations, and optimization initiatives. You will be responsible for designing and implementing scalable, secure, and resilient Azure infrastructure solutions, evaluating and integrating new Azure services, managing day-to-day operations, optimizing workloads, developing cost optimization strategies, ensuring security and compliance, and leading and mentoring a team of cloud engineers. Key Responsibilities: - Design and implement scalable, secure, and resilient Azure infrastructure solutions. - Define and enforce cloud architecture standards and best practices. - Evaluate and integrate new Azure services, including Kubernetes (AKS) and Databricks, to support business needs. - Manage day-to-day operations of Azure infrastructure, ensuring performance, reliability, and scalability. - Implement automation for provisioning, configuration, and deployment using Terraform, ARM templates, or Bicep. - Optimize workloads using Azure Monitor, Log Analytics, and Application Insights. - Develop and execute cost optimization strategies across Azure services. - Monitor cloud spend using Azure Cost Management and generate actionable insights. - Implement governance policies to control resource usage and enforce budget limits. - Ensure infrastructure complies with internal security policies and external regulatory requirements. - Manage identity and access controls using Azure AD and RBAC. - Deploy, manage, and scale containerized applications using Azure Kubernetes Service (AKS). - Integrate and optimize data workflows using Azure Databricks for analytics and machine learning. - Lead and mentor a team of cloud engineers and support staff. - Collaborate with application, DevOps, and business teams to support cloud-native and hybrid deployments. - Act as a key point of contact for cloud-related initiatives. Required Skills & Qualifications: -

As a Backend Engineer at RevAI Pro Platform, you will be responsible for designing and building high-performance microservices in FastAPI (Python) and Node.js (TypeScript). You will develop and maintain REST / GraphQL APIs consumed by multiple modules and agents, implementing a multi-tenant architecture with PostgreSQL (RLS) and Redis for session and cache management. Additionally, you will build event-driven services leveraging Azure Event Hubs / Kafka for real-time workflows, own backend deployment, scaling, and reliability on Azure Kubernetes Service (AKS), and integrate OPA / Kyverno policy enforcement and audit logging for secure and compliant execution. You will also implement observability and automation using ArgoCD, Grafana, and Terraform while collaborating closely with frontend, AI, and product teams to deliver intelligent automation experiences. Key Responsibilities: - Design and build high-performance microservices in FastAPI (Python) and Node.js (TypeScript) - Develop and maintain REST / GraphQL APIs consumed by multiple modules and agents - Implement multi-tenant architecture with PostgreSQL (RLS) and Redis for session and cache management - Build event-driven services leveraging Azure Event Hubs / Kafka for real-time workflows - Own backend deployment, scaling, and reliability on Azure Kubernetes Service (AKS) - Integrate OPA / Kyverno policy enforcement and audit logging for secure and compliant execution - Implement observability and automation using ArgoCD, Grafana, and Terraform - Collaborate closely with frontend, AI, and product teams to deliver intelligent automation experiences Qualifications Required: - 4-8 years of backend development experience with Python (FastAPI/Flask) or Node.js (TypeScript/Express) - Deep understanding of RESTful architecture, async processing, and API versioning - Strong experience with PostgreSQL, including RLS, schema design, and performance tuning - Experience building and deploying on Kubernetes, with IaC tools like Terraform - Understanding of auth frameworks (JWT/OAuth2) and RBAC in multi-tenant systems - Bonus: familiarity with pgvector, Kafka Streams, OPA, or FinOps tools (Kubecost) - Passion for clean, maintainable code and a sense of ownership from architecture to deployment,

Role Overview: As a Lead Architect - AI at EbizON, you will be responsible for defining the AI strategy, designing scalable architectures, and leading the development of advanced AI and machine learning solutions. You will collaborate closely with cross-functional teams to integrate AI capabilities into products and services, ensure best practices in model deployment, and drive innovation across the organization. The ideal candidate for this role is a strategic thinker with deep expertise in AI/ML technologies, strong leadership skills, and a passion for building intelligent systems that deliver measurable business impact. Key Responsibilities: - Design end-to-end architecture including speech-to-speech pipeline, conversational AI (LLM/NLP), memory, backend services, and data flows - Oversee integration of LLMs, ASR/TTS services, proactive engagement logic, and cognitive assessment features - Mentor and guide a small cross-functional team comprising AI, full-stack, mobile, UX, and data science professionals - Ensure secure data handling (PII/PHI), encryption, and HIPAA/SOC2 readiness - Collaborate with product and clinical leads to translate requirements into scalable technical solutions - Hands-on development including writing code for backend APIs, AI pipelines, or integrations - Set up cloud infrastructure, monitoring, and ensure low-latency speech-first interactions - Incorporate accessibility (ADA/WCAG 2.2) and healthcare privacy requirements into design decisions Qualification Required: - Proven experience in designing distributed systems, real-time applications, or AI-driven products - Familiarity with LLMs, NLP pipelines, and orchestration in conversational AI - Experience with ASR/TTS integration, WebRTC, streaming audio pipelines, or speech SDKs - Strong proficiency in Python, Node.js, Java (or similar), REST/GraphQL APIs, microservices, and event-driven systems - Knowledge of AWS/GCP/Azure, containerization (Docker/Kubernetes), CI/CD, and monitoring - Understanding of encryption, secure data storage, PHI/PII handling, RBAC, and audit logging - Familiarity with ADA/WCAG standards and the impact of tech choices on elder-friendly design - Track record of leading small engineering teams, mentoring, and driving execution in startup/MVP environments About the Company: EbizON is an international team specializing in building technology products and assisting brands in growing through multi-channel demand generation marketing. With experience working for Fortune companies, e-commerce brands, technology SaaS companies, and VC-funded startups, EbizON offers consulting, technology, operations, and digital agency capabilities to manage unique online brands. The company values integrity, creativity, innovation, mindfulness, and teamwork, creating a fun and friendly work culture that encourages personal and professional growth. EbizON is an Equal Opportunity Employer committed to providing equal opportunities for all employees. The company offers flexible working hours, exposure to global clients, retreats, celebrations, and a supportive work environment that values work-life balance. (Note: This section may be omitted in the final JD if not required),

As a highly experienced DevOps Architect and Level 4 DevOps Subject Matter Expert (SME) with over 10 years of relevant expertise, your role involves designing scalable, secure, and fully automated infrastructure environments. You focus on delivering robust DevOps solutions, establishing architecture best practices, and driving automation across development and operations teams. **Key Responsibilities:** - Deep hands-on expertise in CI/CD tools like Jenkins, Azure DevOps, Helm, GIOPS, and ArgoCD for implementing reliable, automated software delivery pipelines. - Advanced Infrastructure as Code (IaC) experience using Terraform, Ansible, SaltStack, ARM Templates, and Google Cloud Deployment Manager for scalable infrastructure provisioning. - Expertise in container platforms such as Kubernetes and Docker for secure and highly available deployments. - Proficiency in Kubernetes operations, including cluster management, autoscaling, Helm chart development, RBAC configuration, ingress controllers, and network policy enforcement. - Extensive cloud experience across ROS, Azure, and GCP with deep knowledge of core services, networking, storage, identity, and security implementations. - Scripting and automation capabilities using Bash, Python, or Go for developing robust automation tools and system-level integrations. - Monitoring and observability expertise with Prometheus, Grafana, and the ELK stack for end-to-end visibility, alerting, and performance analysis. - Designing and implementing secure, scalable, and resilient DevOps architectures aligned with industry best practices for both cloud-native and hybrid environments. - Artifact management using JFrog Artifactory or Nexus, root cause analysis, self-healing scripts development, and ensuring high system availability. **Qualifications Required:** - Over 10 years of experience in DevOps architecture and Level 4 DevOps SME role. - Proficient in CI/CD tools like Jenkins, Azure DevOps, Helm, GIOPS, and ArgoCD. - Advanced knowledge of Infrastructure as Code (IaC) tools such as Terraform, Ansible, SaltStack, ARM Templates, and Google Cloud Deployment Manager. - Expertise in Kubernetes, Docker, cloud platforms (ROS, Azure, GCP), scripting languages like Bash, Python, or Go, and monitoring tools like Prometheus, Grafana, and ELK stack. - Experience in artifact management, root cause analysis, and implementing DevOps best practices. You are a recognized expert in DevOps and Level 4 SME, continuously evaluating and recommending emerging tools and practices to enhance deployment speed, pipeline efficiency, and platform reliability. Your strong communication skills allow you to effectively present architectural strategies and system design decisions to technical and non-technical stakeholders.,