1,061 Ansible Jobs

Job Title: DevOps Engineer FinTech Startup Location: Gurugram Experience: 2 to 3 years Salary: 8 to 10 LPA Industry: FinTech / Financial Services Functional Area: DevOps / Cloud Infrastructure / IT Operations About the Company: Join a rapidly growing FinTech startup backed by top-tier venture capitalists, marquee angel investors, and industry mentors. The company is building secure, scalable, and cutting-edge financial technology products that redefine how people interact with financial systems. About the Role: We are seeking a proactive DevOps Engineer to streamline our deployment pipelines, secure our cloud infrastructure, and ensure high availability of our financial applications. The ideal candidate will have strong experience with AWS, Jenkins, Terraform, and Ansible, and be passionate about automation, scalability, and performance. Key Responsibilities: Design, implement, and manage CI/CD pipelines using Jenkins. Automate infrastructure provisioning and deployments using Terraform and Ansible. Secure cloud infrastructure to prevent vulnerabilities and maintain PCI compliance. Manage AWS resources including VPC, Security Groups, IAM, EC2, EKS, MSK, S3, and ELBs. Implement and optimize deployment strategies (Rolling, Blue-Green, Canary). Collaborate with developers to ensure efficient and secure code deployment workflows. Set up and maintain monitoring systems using Grafana, Prometheus, and log management tools such as ELK. Identify areas for process improvement and operational optimization. Troubleshoot infrastructure and deployment issues to ensure system reliability. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or related field. Experience & Skills: 2 to 3 years of hands-on experience as a DevOps Engineer. Proficiency with AWS cloud infrastructure (VPC, IAM, EC2, EKS, MSK, S3, ELB). Experience with Jenkins for CI/CD pipeline creation and maintenance. Strong expertise in Terraform and Ansible for automation and configuration management. Knowledge of deployment strategies Rolling, Canary, Blue-Green. Familiarity with monitoring and log management tools Grafana, Prometheus, ELK. Exposure to PCI-compliant environments is an advantage. Knowledge of at least one scripting language (Python, Shell, or Bash). Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Tech Stack: Core Tools: Jenkins, Terraform, Ansible Cloud: AWS (VPC, EC2, EKS, MSK, ELB, S3) Monitoring: Grafana, Prometheus Logging: ELK Stack Deployment: Rolling, Blue-Green, Canary Why Join:  Exposure to scalable, secure, and high-performance systems. Collaborative, fast-paced startup culture with ownership and growth potential.

Job Title Dev / DevOps Engineer (.NET / Java / Node + Cloud / Containerization) Employment Type: Full-Time Role Summary We are seeking a skilled and versatile Engineer with hands-on development and DevOps experience proficient in .NET or Java (and ideally with exposure to Node.js) who can design, build, deploy, and maintain containerized microservices using modern CI/CD pipelines and infrastructure-as-code practices. You will work closely with development, infrastructure, and operations teams to ensure smooth end-to-end delivery of software. Key Responsibilities Develop and maintain application code in .NET, Java, or Node.js as needed. Build and manage build pipelines (e.g. Maven for Java), managing dependencies and artifacts. Containerize applications using Docker and deploy microservices on Kubernetes (or similar orchestration platforms). Use configuration management and automation tools (e.g. Ansible) for deployment, configuration, and orchestration. Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins, GitHub / GitLab CI (or equivalent), ensuring automated, reliable and repeatable deployments. Implement infrastructure-as-code (IaC) using tools like Terraform (or similar) for provisioning and managing cloud or on-prem resources. Work with cloud services (e.g. Azure, or other cloud environments) to deploy and manage services, as applicable. Migrate legacy or monolithic applications to containerized / cloud-based architectures when required. Participate in architecture and design discussions especially around microservices, scalability, deployment and automation. Collaborate with cross-functional teams using agile methodologies, ensuring timely deliveries and iterative improvements. Communicate effectively with team members and stakeholders developers, QA, operations to coordinate deployments, resolve issues, and continuously improve deployment processes and infrastructure. Required Skills & Qualifications Bachelors degree in Computer Science / Engineering or equivalent technical qualification. Hands-on development experience in .NET or Java; familiarity with Node.js is a strong plus. Strong experience with build tools (e.g., Maven for Java) and artifact/repository management. Solid understanding and practical experience with containerization (Docker), container orchestration (Kubernetes), and deploying microservices. Experience with configuration management and automation tools (e.g. Ansible) and infrastructure-as-code tools (e.g. Terraform). Proficiency with version control systems (Git GitHub or GitLab) and CI/CD tooling/ pipelines (Jenkins, GitLab CI/CD, or equivalent). Familiarity with writing deployment or infrastructure configuration using declarative formats (e.g. YAML). Experience working with cloud platforms / services (e.g. Azure, AWS, or similar) especially for containerized application deployment. Experience in application migration (on-prem cloud/containerized, monolith microservices) is a plus. Familiarity with Agile software development methodologies. Strong communication skills, collaboration mindset, problem-solving attitude, and ability to manage multiple tasks in fast-paced environments.

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)

Job Description DevSecOps Engineer Job Code: ITC/DE/20251107/17437 Position: DevSecOps Engineer Experience Required: 48 years Location: Coimbatore Education: B.Sc Salary Range: 10,00,000 23,00,000 Skills Keywords: CI/CD Pipelines, Linux Environments, Android Build Systems, Ansible, Terraform, Static Code Analysis, Unit Testing, Git, QNX Build Systems, Containerization, Orchestration About the Role The DevSecOps Engineer will play a key role in designing, building, and optimizing CI/CD pipelines tailored for Linux and Android-based platforms. This role requires strong expertise in automation, release management, secure code practices, and build system integration. The ideal candidate will work closely with development, QA, and release teams to ensure smooth, secure, and efficient software delivery. Key Responsibilities Design, develop, and maintain CI/CD pipelines for Linux and Android build environments. Manage end-to-end release management processes and workflows. Optimize Linux environments and troubleshoot system-level performance issues. Work extensively with Android build systems for integration, compilation, and deployment. Automate infrastructure setup and configuration using Ansible and Terraform. Integrate and support QNX build systems within CI/CD workflows. Implement static code analysis and secure coding practices across build pipelines. Ensure rigorous unit testing, code validation, and quality gates in CI/CD processes. Collaborate with cross-functional teams to streamline development and deployment. Utilize container technologies and orchestration tools for scalable deployments. Maintain version control and branching strategies using Git. Required Skills & Competencies Strong hands-on experience with CI/CD tools (Jenkins, GitLab, etc.). Expertise in Linux environments and shell scripting. Deep understanding of Android build systems and release processes. Experience with Ansible, Terraform, and automation frameworks. Familiarity with QNX build systems (good to have). Knowledge of containerization & orchestration (Docker, Kubernetes). Strong understanding of static code analysis, security validation, and DevSecOps practices. Excellent debugging, troubleshooting, and performance optimization skills. Strong communication and collaboration abilities. Ideal Candidate Profile An experienced DevSecOps or CI/CD engineer with deep knowledge of Linux and Android build ecosystems. Strong automation mindset with proficiency in scripting and infrastructure-as-code. Security-focused, ensuring pipeline-level code validation and compliance. Proactive problem-solver with the ability to work in fast-paced, complex engineering environments.

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.

Role Overview: As a Cloud Infrastructure Architect at Capgemini, you will be responsible for defining, designing, and delivering a comprehensive transformation implementation across Business, Information, Systems, and Technology using your strong technical Cloud and Infrastructure expertise. Your role will involve designing the entire Cloud- and Infrastructure-based IT lifecycle to drive business change enabled by Cloud technology. Key Responsibilities: - Define, design, and deliver complete cloud infrastructure architecture solutions - Demonstrate leadership within the architect community and showcase a passion for technology and business acumen - Lead as a stream lead at CIO/CTO level for internal or external clients - Lead Capgemini operations related to market development and service delivery excellence - Serve as a role model in the (local) community - Obtain relevant certifications such as Capgemini Architects certification level 2 or above, relevant cloud and infrastructure certifications, IAF, industry certifications like TOGAF 9 or equivalent Qualifications Required: - Preferably hold Capgemini Architects certification level 2 or above - Possess relevant cloud and infrastructure certifications - Hold IAF and/or industry certifications such as TOGAF 9 or equivalent In this role at Capgemini, you will have the opportunity to work in a collaborative community of colleagues worldwide, where you can shape your career, be supported and inspired, and reimagine possibilities. Capgemini is a global business and technology transformation partner trusted by clients worldwide for over 55 years. With a diverse team of 340,000 members in more than 50 countries, Capgemini focuses on accelerating the dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. Leveraging strengths in AI, generative AI, cloud, and data, combined with deep industry expertise and partner ecosystem, Capgemini delivers end-to-end services and solutions to address the entire breadth of client business needs.,

As a DevOps Engineer at Wipro Limited, you will play a crucial role in enhancing coordination among application teams and developers by automating and streamlining integration and deployment processes. Responsibilities: - Focus on continuous integration (CI) and continuous deployment (CD) of technology in applications - Plan and execute the DevOps pipeline supporting the application life cycle throughout the DevOps toolchain - Manage the IT infrastructure in alignment with the software code requirements - On-board applications on the DevOps tool and customize configurations based on client needs - Establish user access workflows and provide access following defined processes - Customize and engineer the DevOps tool as per client specifications - Collaborate with development staff for coding and scripting to connect code elements necessary for software release with production infrastructure - Utilize automation tools for testing and deployment in a DevOps environment - Offer customer support on DevOps tools and ensure timely assistance to internal and external customers on various platforms - Address and resolve raised tickets on DevOps tools within specified timelines, ensuring customer satisfaction - Troubleshoot and conduct root cause analysis of critical or recurring issues Performance Metrics: 1. Achieve 100% error-free onboarding and implementation of continuous integration, deployment, and monitoring 2. Ensure timely customer resolutions as per defined Turnaround Time (TAT) and zero escalations Mandatory Skills: Redhat Ansible Experience Required: 5-8 Years,

As an Engineer in the E3 band based in Chennai, you will be responsible for developing and maintaining network automation solutions using tools like Ansible and Python. Your role will involve automating network operations to enhance efficiency and reliability. - Develop network automation scripts using Ansible and Python - Implement and maintain network automation solutions to streamline operations - Collaborate with cross-functional teams to optimize network performance - Troubleshoot and resolve issues related to network automation tools - Stay updated on industry best practices and emerging technologies in network automation Qualifications Required: - Proficiency in network automation tools such as Ansible and Python - Strong understanding of networking concepts and protocols - Experience in designing and implementing automation solutions in a network environment - Excellent problem-solving skills and attention to detail - Effective communication and teamwork abilities,

As an Automation Project Manager with 5 - 7 years of experience, your primary responsibility will be to plan and execute automation projects efficiently. Here is a breakdown of your key responsibilities and essential qualifications: **Role Overview:** You will be responsible for defining project scope, objectives, and timelines in alignment with business goals. Creating detailed project plans for automation initiatives, managing end-to-end delivery, and acting as a single point of contact between technical teams, leadership, and customers. You will also collaborate with various teams to identify tasks suitable for automation and ensure compliance with internal IT policies and external regulations. **Key Responsibilities:** - Define project scope, objectives, and timelines for automation initiatives. - Create detailed project plans including tasks, resources, dependencies, and milestones. - Manage end-to-end delivery of automation solutions. - Act as a single point of contact between technical teams, leadership, and customers. - Collaborate with operations, engineering, and process owners to identify tasks suitable for automation. - Coordinate with developers, testers, and infrastructure teams for timely task execution. - Identify potential risks and define mitigation plans. - Ensure compliance with internal IT policies and external regulations. - Maintain detailed documentation of requirements, designs, test plans, and runbooks. - Recommend process improvements through automation. - Stay updated with emerging technologies and introduce innovative solutions. - Prepare Dashboards in Smartsheet for VP/Directors using existing project intake. **Qualification Required:** - Mandatory skills in Smartsheet, PMP/Prince2 certification, and ITIL V3/V4 Foundation certification. - Prior experience in managed services with enterprise clients. - Experience in Automation & DevOps. - Knowledge of technology fundamentals and trends. - Strong business acumen and analytical skills. - Ability to influence across and up, achieving expected business outcomes. - Leadership skills to form and lead teams to successful outcomes. - Agile approach in personal work style. - Excellent verbal, presentation, and written communication skills. This role requires a degree in a related technical field and a minimum of 5 years of experience managing complex and transformative IT programs and projects. If you are passionate about automation, innovation, and delivering successful outcomes, this role is tailored for you.,

As an Infrastructure Engineer III at JPMorganChase within the Infrastructure Platforms team, you have the opportunity to leverage your strong knowledge of software, applications, and technical processes to play a pivotal role in the migration of applications from legacy infrastructure to the modern private cloud platform. Your role involves coordinating and collaborating across teams, driving infrastructure engineering technologies, and ensuring the delivery of infrastructure in accordance with business requirements. You will be responsible for analyzing complex systems, mitigating risks, implementing changes, and overseeing infrastructure upgrades to modernize the organization's technology processes. **Key Responsibilities:** - Coordinate and collaborate across teams for end-to-end migration of applications to the modern private cloud platform - Drive workstreams or projects involving infrastructure engineering technologies - Apply deep technical expertise to analyze complex systems and anticipate issues - Architect and implement changes to resolve issues and modernize technology processes - Ensure infrastructure engineering and delivery align with business requirements - Execute work according to compliance standards, risk, security, and business objectives - Monitor project progress, report status to stakeholders, and support troubleshooting during migration efforts **Qualifications Required:** - Formal training or certification in infrastructure engineering concepts and 3+ years of applied experience in virtualization - Deep knowledge in areas such as hardware, networking, databases, storage engineering, deployment practices, automation, and performance assessments - Bachelor's degree in IT, Computer Science, or related field - Experience with VMware VCF, Terraform, storage clusters, and blueprints - Ability to work in a fast-paced, collaborative environment - Basic working knowledge of scripting languages (e.g., Python) - Experience in software development (Python and Ansible) with 3+ years of experience - Knowledge of cloud infrastructure and multiple cloud technologies - Ability to drive projects towards completion and effectively communicate with senior leaders The company prefers candidates who have demonstrated experience in leading infrastructure migration projects, collaborating with cross-functional teams to resolve technical challenges, implementing automation solutions, and effectively communicating project updates and technical recommendations to senior leadership.,

You will be responsible for managing and maintaining OpenShift environment. Your key responsibilities will include: - Implementing and configuring OpenShift clusters - Monitoring the performance and capacity of OpenShift infrastructure - Troubleshooting and resolving issues related to OpenShift, Python, Ansible, and Docker To qualify for this role, you must have: - 5 to 8 years of experience in OpenShift administration - Proficiency in Python scripting - Hands-on experience with Ansible and Docker Please note that the job is based in Hyderabad/Pune and is a full-time employment opportunity with LTIMindtree. Kindly ensure that your notice period is within 30 days as we are only considering immediate joiners or candidates with a maximum 30-day notice period.,

As a Sr. Associate, AI and Data Science Full Stack Engineer within the Data Science Industrialization team at Pfizer Digital's Artificial Intelligence, Data, and Advanced Analytics organization (AIDA), you will be a key player in advancing AI and data science applications from prototypes to full production. By contributing to the end-to-end build and deployment of data science and analytics products, developing server-side logic, and creating data visualizations, you will have the opportunity to impact Pfizer's digital transformation positively. **Role Responsibilities:** - Contribute to the end-to-end build and deployment of data science and analytics products and AI modules - Develop server-side logic using back-end technologies like Python - Contribute to the implementation of data ETL pipelines using Python and SQL - Build web applications with JavaScript frameworks - Create data visualizations and data applications to facilitate data exploration and insights generation - Manage infrastructure and tools for software development and deployment using Infrastructure as Code (IaC) tools - Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery - Implement logging and monitoring tools to gain insights into system behavior - Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions - Stay updated with emerging technologies and trends in the field **Basic Qualifications:** - Bachelor's or Master's degree in Computer Science or a related field (or equivalent experience) - 2+ years of experience in software engineering, data science, or related technical fields - Proficiency in programming languages such as Python or R - Familiarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs - Knowledge of data manipulation and preprocessing techniques, including data cleaning, data wrangling, and feature engineering - Self-motivated with the ability to work independently and collaboratively within a team - Willingness to tackle new challenges creatively and step outside of your comfort zone - Strong English communication skills (written and verbal) **Preferred Qualifications:** - Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline - Experience in CI/CD integration (e.g., GitHub, GitHub Actions) and containers (e.g., Docker) - Understanding of statistical modeling, machine learning algorithms, and data mining techniques - Familiarity with data science enabling technology like Dataiku Data Science Studio, AWS SageMaker, or other data science platforms - Knowledge of BI backend concepts like Star Schema and Snowflake - Proficiency in building low code dashboard solutions using tools like Tableau, Power BI, Dash, and Streamlit - Experience in developing dynamic and interactive web applications; familiarity with React, AngularJS, Vue - Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation - Familiarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake) - Hands-on experience working in Agile teams, processes, and practices Joining Pfizer Digital's AIDA organization will allow you to work non-traditional hours interacting with global teams, spanning across different regions. Pfizer is an equal opportunity employer, complying with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.,

You have a job opportunity for the position of Ansible SME in Sydney. Your role overview includes having 5 years of experience in Telco/Network engineering with proficiency in Linux, Python, and UI skills. Your key responsibilities will involve being proficient in Ansible playbook and managing Ansible tower. Additionally, you should be well-versed in Source-Code Management (SCM) System like GITLAB and Networking CLI Configuration for Cisco/Nokia. Experience in working with SDLC tools such as Jira and Confluence is also required. Deployment using Kubernetes and Container deployment with CICD is desired for this role. Key Responsibilities: - Proficiency in Ansible playbook & managing Ansible tower - Proficient in Source-Code Management (SCM) System - GITLAB - Proficient in Networking CLI Configuration for Cisco/Nokia - Experience in working with SDLC tools such as Jira and Confluence - Desired deployment using Kubernetes and Container deployment with CICD Qualifications Required: - 5 years of experience in Telco/Network engineering (CCNP/CCIE) - Experienced development with Linux, Python, UI skills Please note that there are no additional details about the company provided in the job description.,

Role Overview: You will be collaborating in a dynamic, multi-disciplinary team of 3-6 experts to enhance client performance in areas such as energy efficiency, product quality, and capacity. Your creativity and analytics expertise will be utilized to communicate your work to executive audiences and work side-by-side with the clients" process engineers and analytics specialists. Key Responsibilities: - Collaborate with talented product engineers to develop innovative products and algorithms to address current and future client needs - Help codify best practices, radiate impact internally and externally, and shape the product roadmap - Benefit from world-class training in business problem structuring and client advisory - Work closely with senior manufacturing and analytics experts for unparalleled career growth with significant ownership and responsibility - Travel to client sites, locally and internationally Qualifications Required: - Bachelor's degree in Computer Science, Applied Statistics, Mathematics, Analytics, Engineering, Machine Learning or equivalent - 4+ years of relevant professional experience in advanced analytics, preferably in heavy industries such as Mining, Metals, or Chemicals - Proficiency in writing clean and efficient code in Python, with experience in using cloud computing resources like AWS, GCP, or Azure - Ability to implement and maintain MLOps pipelines for continuous integration and deployment of models - Strong DevOps and backend engineering skills, including experience with CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure as code (e.g., Terraform, Ansible) - Excellent organization capabilities to initiate tasks independently and see them through completion - Apply state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems - Strong problem-solving skills with the ability to develop creative solutions - Thrive in a flexible, multi-disciplinary, and agile working environment - Strong interpersonal communication skills and experience in facilitating discussions with leadership - Track record of completing projects successfully on time as per scope - Willingness to travel to other offices and/or client locations for short/long term assignments,

You have an exciting opportunity as a Data Engineering and MLOps Engineer with a total of 7+ years of IT experience, including 3 years specifically as an MLOps engineer. Your role involves designing, developing, and implementing robust MLOps pipelines using industry-leading tools like MLflow, Apache Airflow, and working experience with AWS and Databricks. You must have strong proficiency in Python, Pyspark, SQL, Machine Learning, NLP, Deep Learning, DataBricks, AWS SageMaker, AWS BedRock, AWS EC2, Lambda, S3, and Glue Tables. Key Responsibilities: - Design, develop, and implement robust MLOps pipelines using tools like MLflow, Apache Airflow - Work with AWS and Databricks technologies - Proficiency in Python, Pyspark, SQL, Machine Learning, NLP, Deep Learning, DataBricks, AWS SageMaker, AWS BedRock, AWS EC2, Lambda, S3, and Glue Tables - Experience in configuration management tools like Ansible and Terraform - Automate the entire machine learning lifecycle from data ingestion to model deployment and monitoring - Collaborate with Data Scientists to translate their needs into production-ready solutions - Test, validate, and automate data science models - Communicate and document processes with a team of data scientists, data engineers, and architects - Participate in the development and maintenance of automated ML Ops pipelines Qualifications Required: - 7+ years of total IT experience in Data engineering and 3 years as MLOps engineer - Strong technical proficiency and collaboration skills - Excellent written and verbal communication skills - Analytical mindset for interpreting data and metrics Additional Company Details: - Cloud Services: AWS, Azure Services - DevOps Tools: Docker, GIT, Jenkins - Machine Learning: MLOps, Databricks/Jupyter notebook - Infrastructure as a code: Terraform and knowledge on Gen AI It would be good to have knowledge of ML techniques and algorithms such as RNN, CNN, GNN, GAN, and cloud-native skills.,

The role at Talentid.app involves developing and maintaining server-side applications using Node.js, working on frontend components using React.js, and writing and optimizing scripts in Python for automation and backend tasks. You will also be responsible for assisting in managing DevOps processes, including CI/CD pipelines, containerization, and cloud deployment. Your role will include debugging and troubleshooting application issues to ensure smooth functionality, collaborating with the engineering team to build scalable and efficient applications, and working with databases like MongoDB, PostgreSQL, or MySQL as required. - Proficiency in Node.js with Express.js or similar frameworks - Basic experience with React.js for frontend development - Knowledge of Python for scripting or backend tasks - Familiarity with DevOps practices, including Docker, Kubernetes, and CI/CD pipelines - Understanding of cloud services (AWS, GCP, or Azure) - Strong problem-solving and debugging skills - Good understanding of RESTful APIs and microservices architecture - Familiarity with Git and version control To excel in this role, you should have proficiency in Node.js with Express.js or similar frameworks, basic experience with React.js for frontend development, and knowledge of Python for scripting or backend tasks. Familiarity with DevOps practices, including Docker, Kubernetes, and CI/CD pipelines is essential, and an understanding of cloud services (AWS, GCP, or Azure) would be advantageous. Strong problem-solving and debugging skills, a good understanding of RESTful APIs and microservices architecture, and familiarity with Git and version control are also required. Additionally, experience with TypeScript, knowledge of GraphQL, hands-on experience with Terraform or Ansible, and prior internship experience in a similar role are considered nice-to-have qualifications. Joining Talentid.app offers you a hands-on experience with cutting-edge technologies, mentorship from experienced web developers, the opportunity to work on real projects with real impact, exposure to a dynamic and innovative work environment, networking opportunities within the tech industry, and the potential for future full-time employment based on performance.,

Role Overview: As a Principal Database Automation Engineer at Accelya, you will play a crucial role in the company's journey to migrate its application workloads to public and private cloud platforms on AWS. Your main responsibility will be to automate the deployment and management of database technologies, particularly Oracle Database, by leveraging tools like Terraform, Ansible, or Cloud Formation. You will be instrumental in developing new architectures and standards, devising migration approaches, and driving the automation of public and private cloud database deployment and operation at Accelya. Your inquisitive nature, eagerness to learn, and willingness to experiment and learn from mistakes will be key to your success in this role. Key Responsibilities: - Migrate multiple workloads from on-premises architectures to VMWare Cloud on AWS or directly to AWS - Automate the deployment and management of database technologies, especially Oracle Database, using tools such as Terraform, Ansible, or Cloud Formation - Develop new architectures and standards, contribute to migration approaches, and drive automation of public and private cloud database deployment and operation at Accelya Qualifications Required: - Understanding of AWS architectures, best practices, and technologies - Background in database administration and/or engineering, with a focus on Oracle Database - Practical knowledge of automation and infrastructure-as-code principles and technologies like Terraform or Cloud Formation and Ansible - Exposure to VMWare Cloud on AWS or similar private cloud platforms preferred - Familiarity with API-first, cloud-friendly data protection technologies such as Rubrik, Veeam, Cohesity, or Druva advantageous - Proficiency in infrastructure coding, predominantly using Python - Passion for team-building, fostering a culture of innovation and knowledge sharing - Willingness to embrace new challenges, learn from mistakes, and drive personal and team development Additional Details (if present): Accelya is a leading global technology and service provider to the air transport industry, facilitating innovative change at speed and scale. With a strong focus on airline retailing and industry platforms supporting operations from offer to settlement, Accelya has over 250 airline customers worldwide. The company's commitment to simplifying airline financial and commercial processes empowers the air transport community to navigate the future with confidence. Accelya collaborates with industry stakeholders like IATA and leverages digital transformation to drive the airline industry forward, enabling airlines to achieve greater control and progress. For more information about Accelya, please visit www.accelya.com and https://accelya.turtl.co/story/accelya-corporate-brochure/page/1. Note: The future of the air transport industry holds exciting possibilities, and Accelya welcomes individuals with diverse backgrounds and experiences to contribute to shaping this future.,

As an AI Ops Expert at Socit Gnrale, you will have full ownership and responsibility for deliverables with defined quality standards, timelines, and budgets. Your key responsibilities will include: - Managing AI model lifecycle, versioning, and monitoring in production environments - Building resilient MLOps pipelines and ensuring compliance with governance standards - Designing, implementing, and managing AIops solutions to automate and optimize AI/ML workflows - Building and scaling containerized solutions using Kubernetes - Collaborating with data scientists, engineers, and other stakeholders to seamlessly integrate AI/ML models into production - Monitoring and maintaining the health and performance of AI/ML systems - Developing and maintaining CI/CD pipelines for AI/ML models - Implementing best practices for model versioning, testing, and deployment - Troubleshooting and resolving issues related to AI/ML infrastructure and workflows - Staying up-to-date with the latest AI Ops, MLOps, and Kubernetes tools and technologies Requirements and skills for this role include: - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field - 8+ years of relevant experience - Proven experience in AIops, MLOps, or related fields - Strong proficiency in Python and experience with Fast API - Strong hands-on expertise in Docker and Kubernetes (Or AKS) - Hands-on experience with MS Azure and its AI/ML services, including Azure ML Flow - Proficiency in using DevContainer for development - Knowledge of CI/CD tools such as Jenkins, Argo CD, Helm, GitHub Actions, or Azure DevOps - Experience with containerization and orchestration tools like Docker and Kubernetes - Experience with Infrastructure as code (Terraform or equivalent) - Strong problem-solving skills and ability to work in a fast-paced environment - Excellent communication and collaboration skills Preferred skills include: - Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn - Familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar - Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack - Understanding of data versioning tools like DVC or MLflow - Experience with infrastructure as code (IaC) tools like Terraform or Ansible - Proficiency in Azure-specific tools and services such as Azure Machine Learning (Azure ML), Azure DevOps, Azure Kubernetes Service (AKS), Azure Functions, Azure Logic Apps, Azure Data Factory, and Azure Monitor and Application Insights At Socit Gnrale, you will be part of an environment that encourages growth, innovation, and positive impact on the future. Employees are supported in dedicating time to solidarity actions, and the company is committed to accelerating its ESG strategy by implementing principles in all activities and policies. Join us to be directly involved, grow in a stimulating environment, and make a difference every day.,

As a Ansible Tower Administrator and Playbook Developer at Kyndryl, your role will involve managing Ansible Tower infrastructure, developing and maintaining playbooks for automation, configuring workflows and job templates, monitoring system performance, and troubleshooting technical issues. Key Responsibilities: - Manage Ansible Tower infrastructure - Develop and maintain playbooks for automation - Configure workflows and job templates - Monitor system performance - Troubleshoot technical issues Qualifications: - Experience in Ansible Tower administration and playbook development - Proficiency in scripting languages like Python, YAML - Knowledge of automation tools and infrastructure as code concepts - Experience with DevOps practices and CI/CD pipelines - Strong troubleshooting and problem-solving skills - Excellent communication and collaboration abilities - Bachelor's degree in Computer Science, Information Technology, or related field - Ansible Certified Associate (ACA) or relevant Ansible certifications will be preferred.,

You will be responsible for managing and maintaining the WebSphere Application Server Network Deployment (WASND) along with Linux and Ansible in a hybrid mode environment. Your key responsibilities will include: - Installation, configuration, and troubleshooting of WebSphere Application Server Network Deployment - Monitoring and optimizing server performance - Implementing security measures and ensuring system integrity - Collaborating with cross-functional teams to deploy applications - Providing technical support and guidance to team members To qualify for this role, you need to have: - 5 to 8 years of experience in WebSphere Administration - Proficiency in WebSphere Application Server Network Deployment (WASND), Linux, and Ansible - Strong problem-solving skills and attention to detail - Excellent communication and teamwork abilities About the company: LTIMindtree is a leading IT services company that offers a wide range of solutions to clients worldwide. With a strong focus on innovation and customer satisfaction, LTIMindtree provides a dynamic and rewarding work environment for its employees.,