3,435 Release Engineer Jobs nearby Khammam

We are looking for a Senior Kubernetes Platform Engineer with 10+ years of infrastructure experience to design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform. This role focuses on automating the Kubernetes layer and its dependencies (e.g., GPU drivers, networking, runtime) using 100% GitOps workflows. You will work across teams to deliver a fully declarative, scalable, and reproducible infrastructure stackfrom hardware to Kubernetes and platform services.  Key Responsibilities Architect and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD. Develop and manage declarative infrastructure components for: o GPU stack deployment (e.g., NVIDIA GPU Operator) o Container runtime configuration (Containerd) o Networking layers (CNI plugins like Calico, Cilium, etc.)

Fill below mandatory link.  MLops-virtual interview with Capgemini--all locations, Monday 27th Oct 2025 Fill out form   Position: - Machine Learning Ops Harvest Level: Software Engineer  Job Description:    Machine Learning Ops Engineer is the one whos responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively. Role & Responsibilities Responsible for design and implementation of secure and scalable infrastructure in Azure cloud. Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects. Own and automate the infrastructure provisioning, demand forecasting and capacity planning. Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability. Setting up the alerts and monitoring for the platform. Monitoring system, application health, security controls and cost Envision, implement and rollout best MLOPs/DevOps tools and automation.  Requirements: Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices. Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure. Hands on experience in Python or any other scripting languages (Groovy, Shell) Experience with monitoring tools. Hands-on experience in Docker, Kubernetes. Excellent experience with source code management tools (git) Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc. Experience in implementing Data/Model drift. Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline. Excellent Troubleshooting skills Always ready to learn more and adopt new cutting-edge technology with right value proposition.  

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Epic Software Engineer Budget : 150000/month Remote*  About the role Our client is hiring an Epic Software Engineer to build and integrate apps that run inside Epic and connect with a patient services platform. You will design secure, scalable workflows for enrollment, consent, surveys, provider updates, and analytics using Epic APIs, SMART on FHIR, HL7 v2, and modern web technologies.  4+ years of professional software engineering experience, with at least 2 years in healthcare integrations or EHR app development. Hands-on experience with Epic APIs, SMART on FHIR app development, and FHIR resource modeling. Strong proficiency with web development using JavaScript or TypeScript, React, and HTML/CSS. Proficiency building RESTful APIs and JSON contracts, including request validation, versioning, and backward compatibility strategies. Practical knowledge of HL7 v2 segments, message types, ACK handling, and interface engines. Experience implementing OAuth2.0; familiarity with SAML for enterprise SSO. Solid backend skills in Node.js or PHP; experience with C#/.NET or Java/Kotlin is a plus. SQL expertise with PostgreSQL or MS SQL, including schema design and query tuning. Docker-based development and AWS deployment experience.  Preferred qualifications Experience publishing Epic apps through Epic programs and working with Epic client teams for onboarding. Familiarity with interface engines such as Mirth, Rhapsody, or Cloverleaf. Knowledge of consent frameworks, TCPA considerations for SMS, and de-identification techniques. Experience with SFTP-based data exchange at scale, checksum validation, and idempotent ingestion design. CI/CD with GitHub Actions, GitLab CI, or similar, plus infrastructure as code on AWS. Observability with tools such as CloudWatch, OpenTelemetry, or Datadog. Tableau or analytics pipeline experience for clinical or brand reporting. Mobile development exposure in Swift or Objective-C for iOS and Java or Kotlin for Android for companion apps.  

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Job Title: GCP Data Engineer Employment Type: Permanent Industry of the Employer: IT / Software Services Department / Functional Area: Data Engineering, Cloud Engineering Job Description GREETINGS FROM HUCON Solutions Hiring for Leading MNC GCP Data Engineer Role: GCP Data Engineer Skills: GCP, Python, SQL, BigQuery, ETL Data Pipeline Experience: 59 Years Locations: Chennai, Kochi, Bangalore, Hyderabad, Pune Eligibility Criteria Strong hands-on experience in Python, Pandas, NumPy Expertise in SQL and solid understanding of Data Warehousing concepts In-depth knowledge of GCP Services including: BigQuery, Cloud Run, Pub/Sub, Cloud Storage, Spanner, Cloud Composer, Dataflow, Cloud Functions Experience with Docker, Kubernetes, GitHub Strong communication and analytical skills Working experience with PySpark, Data Modeling, Dataproc, Terraform Google Cloud Professional Data Engineer certification is highly preferred Role Responsibilities Design, develop, and manage robust and scalable ETL / ELT pipelines on GCP using Dataflow, Cloud Run, BigQuery, Pub/Sub, and Cloud Composer Implement data ingestion workflows for structured and unstructured data sources Build and maintain data warehouses and data lakes using BigQuery, Cloud Storage, and other GCP tools Work with data modeling, architecture, and ETL/ELT frameworks Ensure best practices in performance, optimization, and cloud data management Keywords / Skills GCP, Python, SQL, BigQuery, ETL, Data Pipeline, Data Engineering, Cloud Run, Pub/Sub, Cloud Storage, Dataproc, Terraform, Kubernetes, Docker, Dataflow Total Experience: 5 to 9 Years Salary Type: Yearly Annual Salary Offered: As per company standards Job Type: Full Time Shift Type: Day Shift / Rotational (based on project requirement) Location of the Job: Chennai | Kochi | Bangalore | Hyderabad | Pune

We are looking for an experienced Network Automation Engineer to design, implement, and optimize automation solutions for our Private Cloud datacenter network, which underpins large-scale AI/ML GPU and TPU workloads. This role focuses on automating configuration, provisioning, and monitoring of high-performance networking devices to ensure low latency, high throughput, and reliability in a mission-critical environment. This role involves automating network device management as well as OS-level network configurations on servers. Expertise in Ansible and Python is essential, and experience with GoLang is a strong plus.  Key Responsibilities: Develop and maintain network automation frameworks for large-scale datacenter environments supporting AI/ML workloads. Build Ansible playbooks, roles, and modules to automate device configurations, software upgrades, and compliance checks across multi-vendor environments. Design and implement Python-based automation scripts and tools to integrate with APIs, orchestration platforms, and monitoring systems. Automate OS core networking configurations on servers (Linux / Windows / Hypervisor) including bonding, VLANs, routing tables, kernel network parameters, MTU tuning, and NIC performance optimization.

Job Title: Principal Engineer AI SaaS (Funded Startup) Location: Hyderabad Compensation: 40 to 50 LPA + ESOPs Industry: Engineering / Internet / IT / SaaS About the Role We are hiring a highly experienced and visionary Principal Engineer for a well-funded AI SaaS product company. This role involves leading technology strategy, driving system architecture, and mentoring high-performing engineering teams while building world-class, scalable platforms. Key Responsibilities Technology Leadership Define and execute the long-term technical vision and roadmap. Build scalable, distributed, and high-performance systems. System Architecture Lead architecture discussions, design reviews, and ensure secure, robust, cloud-native systems. Create frameworks and standards for development and deployment. People & Team Leadership Manage and mentor engineering teams, including senior and principal engineers. Foster a culture of ownership, innovation, and engineering excellence. Cross-Functional Collaboration Work closely with Product, Data, AI/ML, and Business teams to align engineering execution with company goals. Execution & Delivery Drive high-quality delivery of critical projects. Balance long-term architecture with short-term business needs. Mentorship & Development Coach engineering managers and senior talent to build leadership capability within the tech organization. Innovation Stay updated with advancements in AI, ML, cloud, and modern software development. Champion adoption of new technologies where beneficial. Requirements 5+ years of professional experience in software engineering. Strong background in SaaS product companies. Deep expertise in system design, distributed systems, and cloud-native architecture. Strong hands-on experience in Node.js and backend engineering. Good understanding of modern frontend technologies. Preferred Qualifications Experience in high-growth startups or fast-scaling product environments. Exposure to AI/ML systems, LLMs, agentic architectures, or intelligent automation. Contributions to open-source projects or published technical content/thought leadership.

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.

Job Title: Software Engineer Platform & Infrastructure Department: Software Engineering Job Category: Individual Contributor Reporting Structure: Reports To: Manager Software Engineering Reportees: None Peers: Software Engineers, Software Architects Stakeholders: Product Managers Location: Europe (Travel Required) Job Summary: The Software Engineer Platform & Infrastructure is responsible for building and maintaining the foundational systems that enable efficient, secure, and reliable software delivery across the organization. This includes cloud infrastructure automation, CI/CD pipeline development, Kubernetes environments, SDKs, data engineering support, and observability tooling. The engineer collaborates closely with development teams to create performant, developer-friendly platforms for both applications and data systems. Key Responsibilities: Design and implement Infrastructure as Code (IaC) using tools like Terraform, Bicep, and manage Azure cloud and Kubernetes environments. Develop and maintain CI/CD pipelines in Azure DevOps. Implement and manage monitoring and alerting systems (e.g., Prometheus, Grafana, Azure Monitor). Maintain and enhance the internal Developer Portal (Backstage). Build reference or sample applications using C#, TypeScript, or Java. Support data workloads and pipelines (Spark, PySpark) under team guidance. Identify and automate repetitive operational tasks to improve reliability and efficiency. Enhance monitoring and observability for better visibility, reliability, and proactive issue detection. Collaborate with development teams to define requirements, architecture, and specifications. Coach and support teams on DevSecOps best practices and platform utilization. Contribute to improving developer onboarding and maintaining comprehensive platform documentation. Qualifications, Skills, and Competencies: Education: Bachelors degree in Computer Science, Engineering, or a related field. Language: Proficiency in English (spoken and written). Experience: Proven experience as a Software Engineer or Platform Engineer. Technical Proficiency: Strong programming experience in C#, Python, TypeScript, or Angular. Expertise in Azure Cloud, Terraform, and Bicep. Hands-on with Kubernetes, networking, and monitoring tools. Deep understanding of CI/CD pipelines and DevSecOps principles. Exposure or interest in data engineering (Python, PySpark). Soft Skills: Excellent problem-solving, communication, teamwork, and attention to detail. Mindset: Proactive, automation-driven, and collaborative approach to platform engineering. Success Criteria / KPIs: Software Development & Reliability High platform reliability and reproducibility (pipeline success rates, infra drift metrics). Increased automation across delivery processes (manual task reduction). Fewer manual interventions or deployment incidents. Compliance with Service Level Objectives (SLOs). Improved developer satisfaction with platform usability. Collaboration & Communication Active participation in defining platform standards and requirements. Effective collaboration with development and operations teams. Constructive contributions to design reviews and incident postmortems. Code Quality & Best Practices Adherence to coding and infrastructure standards (code review success rate, test coverage). Positive impact on reliability and maintainability (fewer failures, reusable IaC modules, faster builds). Problem Solving & Debugging Efficient incident detection and resolution (MTTR, incident count). Proactive prevention of recurring issues and improvement in system stability. Learning & Growth Continuous learning and implementation of emerging technologies. Tangible skill growth through certifications, trainings, and project impact. Timely Delivery On-time delivery of automation and infrastructure improvements. Minimal delays in development or deployment due to platform dependencies.

Job ID: ITC/G/20251029/22301 Role: GCP Data Engineer Location: Hyderabad Status: Open   Role Overview This role focuses on designing, developing, testing, and deploying data models and transformations on Google Cloud Platform, primarily using BigQuery and Data Fusion. The engineer will be responsible for building scalable data pipelines, optimizing data structures for analytics and visualization, and supporting CI/CD automation. Key Responsibilities Design and develop GCP-based data models and ETL/ELT pipelines. Build and deploy transformations in BigQuery and Data Fusion. Optimize data views and datasets for reporting and visualization use cases. Manage and maintain code repositories, artifacts, and deployment workflows. Implement CI/CD pipelines using tools like Git, Jenkins, Ansible, etc. Perform data preparation, wrangling, and quality checks. Work with relational, dimensional, and preferably Data Vault data models. Collaborate in a hybrid work environment with cross-functional teams. Required Skills Google Cloud Platform (GCP) BigQuery Data Fusion SQL / T-SQL Ansible CI/CD Tools (Git, Jenkins) Data Modeling (Relational, Dimensional; Data Vault preferred) Data Wrangling & Preparation Qualification B.Tech (Computer Science, IT, or related field preferred) Experience 6-15 years in Data Engineering / Cloud Data Platforms Salary Range 10,00,000 - 27,00,000 (based on experience and skill level)

You will be joining the Windows Servicing and Delivery (WSD) organization whose core mission is to ensure customer protection and productivity by delivering seamless Windows updates across existing and future versions. Your role as a Software Engineer II in the Autopatch Service team will involve designing, developing, and deploying highly scalable, reliable software systems. You will work on shaping technical strategies and building cloud services that operate at high availability and scale. Key Responsibilities: - Design, develop, and operationalize deployment of enterprise-grade cloud services, ensuring high availability, scalability, robustness, and observability. - Create, implement, optimize, debug, refactor, and reuse code to enhance performance, maintainability, effectiveness, and ROI. - Leverage subject-matter expertise to drive project plans, release plans, and work items. Identify dependencies and develop design documents for products, applications, services, or platforms. - Act as a Designated Responsible Individual (DRI) in an on-call rotation to monitor system/product feature/service for issues and gain approval to restore them. - Lead discussions on product architecture, apply engineering principles for robust designs, and ideate to bring better user experience and engineering optimizations. Qualifications: Required: - Bachelor's Degree in Computer Science or related technical field AND 4+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred: - Master's Degree in Computer Science or related field AND 3+ years of technical engineering experience OR Bachelor's Degree AND 5+ years of technical engineering experience with coding in languages such as C#, Azure, and Cloud Technologies. - 4+ years of professional software development experience in C#, Azure, and Cloud Technologies. - Experience with large scale services, architecture, technologies, UI, and scripting languages. - Strong design and problem-solving skills with an emphasis on quality and engineering excellence. - Demonstrated experience in collaborating with geographically distributed partner teams. - Excellent communication skills, both verbal and written. Please note that applications for this position will be accepted on an ongoing basis until the position is filled.,

As a Release Engineer, you will be responsible for managing code merges, release preparation, and pipeline management. Your role involves understanding and managing code from different teams, performing code merges for release readiness, and preparing and validating code for release. You will be tracking and managing the code pushed through various pipelines to ensure the correct code is being released. Collaboration with development, QA, and operations teams is essential to ensure seamless integration and timely delivery. Key Responsibilities: - Understand and manage code from different teams and perform code merges for release readiness. - Prepare and validate code for release, ensuring all necessary changes are integrated and ready for deployment. - Track and manage the code pushed through various pipelines, ensuring the correct code is being released. - Collaborate with development, QA, and operations teams to ensure seamless integration and timely delivery. Qualifications Required: - Proficiency in SQL for database management and queries. - Strong hands-on experience with .Net Core and C# for application development and integration. - Basic understanding of CI/CD pipelines and their role in the release process. - Familiarity with Azure cloud platform and its integration into release workflows. No additional details of the company were provided in the job description.,

As an Autonomous AI Engineer in Hyderabad, your role involves designing and deploying enterprise-grade, healthcare-focused AI agents. You will be responsible for building autonomous agent workflows, implementing RAG systems, and delivering scalable AI solutions using frameworks like LangChain and LangGraph. Key Responsibilities: - Design and implement autonomous AI agents using LangChain, LangGraph, AutoGen, etc. - Build multi-agent workflows for data retrieval, automation, and reasoning. - Develop RAG pipelines using vector DBs (Pinecone, FAISS, etc.). - Integrate and optimize LLMs (fine-tuning, prompt engineering, guardrails). - Create Python-based microservices/APIs for agent orchestration. - Deploy using Docker/Podman on cloud-native infrastructure. - Implement AI observability, telemetry, and governance. - Work closely with Data Science, MLOps, and Product teams. Required Skills: - Strong Python development. - Experience with agentic AI frameworks. - Hands-on RAG, embeddings, vector DBs. - LLM integration, memory systems, safety/guardrails. - Containerization and cloud deployment. - AI governance, evaluation, and observability. Preferred Skills: - Healthcare/regulated industry experience (HIPAA/PHI). - LLM fine-tuning, optimization (quantization, distillation). - MLOps tools: MLFlow, Weights & Biases.,

You will be responsible for: - Analyzing all current terraform scripts & test automation scripts being used in AWS environment, porting them on OCI, and customizing them - Setting up the product on OCI and testing all functionalities using automation scripts Qualifications required: - Good understanding of cloud infrastructure and experience in OCI would be preferable - Proficiency in Python - Proficiency in Terraform and usage of Terraform module for cloud providers especially OCI - Experience in using Ansible or other such mechanisms in configuration management - Knowledge of Test frameworks and experience in working with Robot Framework and writing keywords/scripts and suites using Robot Framework Additional company details are not provided in the job description.,

As a software professional at Qualcomm India Private Limited, you will be part of the Security systems team, providing software engineering solutions for development projects. Your role will involve developing, optimizing systems, tools, and methods for QTI security solutions. You will collaborate with a team of professionals, both internally and potentially with external customers, to ensure the delivery of high-quality work products. **Key Responsibilities:** - Develop and test Security-related software on Embedded platforms using C programming. - Create software modules for proprietary or high-level operating systems such as Linux or Windows. - Troubleshoot and resolve issues in the software through effective problem-solving skills. - Work closely within the team to ensure the delivery of quality work products. - Demonstrate self-motivation, strong initiative, and the ability to work independently. **Qualifications Required:** - Bachelor's or master's degree in Engineering, Information Systems, Computer Science, Electronics, or a related field. - At least 1 year of experience in Embedded software development and programming in C, C++, or Assembler. - Strong understanding of Embedded hardware, Computer Architecture, and Operating System concepts. - Good knowledge of OS concepts like tasks, signals, timers, priorities, deadlocks, stacks, etc. - Familiarity with RTOS fundamentals such as multi-threading, interrupt management, cache/memory management. - Basic understanding of Security concepts like Symmetric and Asymmetric Cryptography. - Desirable: Experience with embedded processor architectures like ARMv8/9 or RISC-V processors, code versioning tools, build tools, and debuggers. - Desirable: Good understanding of Software Security Concepts, ARM Trustzone, Virtualization, etc. At Qualcomm, we are committed to providing an inclusive and accessible hiring process. If you require accommodations due to a disability, you can reach out to disability-accommodations@qualcomm.com or call Qualcomm's toll-free number for support. We are dedicated to creating a workplace that is accessible for individuals with disabilities. Your adherence to all applicable policies and procedures, including security and confidentiality requirements, is expected while working at Qualcomm. Please note that our Careers Site is for individuals seeking job opportunities directly with Qualcomm. Staffing and recruiting agencies are not authorized to use this site for submissions. Unsolicited resumes or applications from agencies will not be accepted. For further information about this role, you can contact Qualcomm Careers directly.,

As a skilled QA engineer with experience in NetSuite or SAP, your role in the Back Office team of the wider IT Enterprise Applications organization is crucial for ensuring the quality and reliability of critical business systems. Your responsibilities include: - Collaborating with Business Analysts, Developers, and Technical Architects to review requirements and ensure testability and clarity - Designing, documenting, and executing comprehensive test strategies and test plans for NetSuite and integrated enterprise applications - Developing and maintaining automated and manual test cases covering functional, regression, and integration testing - Ensuring test coverage for customizations, configurations, and scripts developed using SuiteScript or integrated platforms - Documenting test results and creating knowledge-sharing content for QA best practices and known issues - Investigating, reproducing, and logging defects, and following through to resolution in coordination with the development and product teams - Contributing to process improvement by identifying testing gaps, suggesting tools, or automation enhancements - Supporting release management activities by validating deployments across environments and ensuring traceability of test results - Assisting in user acceptance testing (UAT) and providing quality sign-off for release readiness Your Skills & Experience should include: - 2-4 years of experience in a Quality Assurance or Software Testing role, preferably working with ERP or SaaS applications such as NetSuite, SAP, or SAGE - Understanding of QA principles, test case design, regression testing, and defect lifecycle - Hands-on experience with test management tools (e.g., Zephyr, TestRail, Xray) and bug tracking systems (e.g., JIRA) - Familiarity with SuiteScript, APIs, and integrations using platforms such as Boomi or Celigo is a strong plus - Strong communication skills, with the ability to explain quality-related issues to technical and non-technical audiences - Proactive problem-solving and analytical skills, with strong attention to detail - Familiarity with automation tools such as Selenium, Cypress, or similar is a plus - Exposure to CRM, ERP, billing systems, or other enterprise platforms is desirable Please note that artificial intelligence (AI) tools may be used to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist the recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact the company.,

As a Senior Cloud Engineer at our company, you will play a crucial role in owning and optimizing the cloud infrastructure for our mission-critical healthcare product. Your responsibilities will include: - Full ownership of AWS and GCP environments, covering VPC, Compute, Storage, Networking, and Security aspects. - Implementing IAM and least-privilege governance at scale, including IAM roles, SCPs, Resource Policies, and Permission Boundaries. - Developing landing zone and multi-account strategies using AWS Organizations, Control Tower, GCP Folders, and Projects hierarchy. - Implementing cloud cost optimization and FinOps practices to achieve monthly savings targets without compromising performance. - Setting up billing alarms, budgeting, tagging enforcement, and anomaly detection mechanisms. - Managing CI/CD pipelines using tools like GitHub Actions, AWS CodePipeline, Google Cloud Build, and Terraform Cloud. - Implementing Infrastructure as Code using Terraform and optionally CloudFormation/CDK. - Ensuring observability and monitoring through tools like CloudWatch, Prometheus+Grafana, GCP Operations Suite, and Datadog/NewRelic. - Enhancing security and compliance through tools like GuardDuty, Security Hub, Config, and GCP Security Command Center. - Establishing disaster recovery, backup strategies, and chaos engineering practices. - Improving developer experience by providing self-service environments, golden paths, and internal platform tools. Qualifications and Experience required for this role: - Minimum 3 years of hands-on experience with AWS and GCP in production environments. - Holding at least one active certification such as AWS Solutions Architect Professional or GCP Professional Cloud Architect. - Demonstrated track record of reducing cloud costs by 30% or more in previous roles. - Expertise in Terraform, strong CI/CD implementation skills, scripting abilities in Python/Bash, and familiarity with Linux systems. - Experience with containers like Docker, ECS, EKS, GKE, and Cloud Run. - Excellent communication skills to convey complex billing reports and best practices to various stakeholders. Additional details about the company or role were not provided in the job description. If you are passionate about cloud infrastructure, cost optimization, and security, and if you have the required skills and experience, we encourage you to apply for this exciting opportunity. Please send your resume and a brief description of the largest cloud cost savings you have achieved to hr@cardit.in with the subject "Senior Cloud Engineer - [Your Name]". (Note: No recruiters or agencies, please),

As an experienced Java Developer, you will be involved in the design, architecture, and implementation of complex solutions. You will play a crucial role in mentoring junior team members, providing technical leadership, and contributing to high-level technical decisions. Collaboration with cross-functional teams will be a key aspect of your role, where you will analyze, design, implement, and integrate functional requirements in the solutions. Your responsibilities will include: - Designing, implementing, and maintaining Java applications for high-volume and low-latency mission-critical systems - Delivering high availability and performance - Contributing to all phases of the development lifecycle - Writing well-designed, efficient, and testable code - Conducting software analysis, programming, testing, and debugging - Managing Java and Java EE application development - Ensuring designs comply with specifications - Preparing and producing releases of software components - Translating designs and wireframes into high-quality code - Optimizing components for maximum performance on web-capable devices and browsers - Collaborating with teams and contributing effectively - Researching and working with GenAI tools Qualifications required for this role include: - Strong problem-solving skills - Proficiency in Core Java and SQL programming - Experience with Agile software development processes & models - Knowledge of modern authorization mechanisms like JSON Web Token - Familiarity with ECMAScript (ES6+) - Understanding of modern front-end build pipelines and tools - Results-oriented with the ability to work under tight deadlines - Good time and workload management skills - Excellent communication skills, both verbal and written - Ability to understand business requirements and translate them into technical requirements - Quick learner with the ability to adapt to new technologies Additional details about the company include: - Competitive salary & bonus structure - Corporate medical cover for employees and immediate dependents - 14 days of paid holidays plus yearly defined calendar holidays - Wiki-Wednesdays for knowledge-sharing sessions - Friday-Fundays for creative activities - Wellness Sessions - Quarterly team building days - A dynamic workplace that encourages competition and collaboration.,

Role Overview: As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you will have the opportunity to impact your career and embark on an adventure where you can push the limits of what's possible. You will play a crucial role in an agile team dedicated to developing, improving, and providing reliable, cutting-edge technology solutions that are secure, stable, and scalable. Key Responsibilities: - Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. - Develop secure, high-quality production code, review and debug code written by others, and identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems. - Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. - Lead communities of practice across Software Engineering to promote the awareness and utilization of new and leading-edge technologies while fostering a team culture of diversity, opportunity, inclusion, and respect. Qualifications Required: - Possess formal training or certification on software engineering concepts and at least 5 years of applied experience. - Experience with Java, Microservices, Spring Boot, and Kafka, along with familiarity with Microservices architecture and related technologies such as Docker, Kubernetes, and API Gateway. - Experience with distributed tracing and monitoring tools such as Prometheus and Grafana is desired. - Hands-on practical experience in delivering system design, application development, testing, and operational stability is essential. - Proficiency in automation and continuous delivery methods is a must. - Proficient in all aspects of the Software Development Life Cycle and have an advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. - Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) is required. - Practical cloud-native experience. Additional Details: The ideal candidate for this role should also have experience with AI technologies, including machine learning frameworks like TensorFlow or PyTorch, as well as in-depth knowledge of the financial services industry and their IT systems. Having proficiency in Python and AI would be advantageous for this role.,