202 Rds Jobs - Page 3

designing, managing, and optimizing our cloud infrastructure to ensure high availability, reliability, scalability of services Architect, deploy, maintain AWS infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation Required Candidate profile experience in a Site Reliability Engineer or DevOps role, with a focus on AWS cloud infrastructure AWS services such as EC2, S3, RDS, VPC, Lambda, CloudFormation, and CloudWatch.

We are seeking a highly skilled Devops Engineer to join our dynamic development team. In this role, you will be responsible for designing, developing, and maintaining both frontend and backend components of our applications using Devops and associated technologies. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performing software solutions that meet our business needs. The ideal candidate will have a strong background in devops, experience with modern frontend frameworks, and a passion for full-stack development. Requirements : Bachelor's degree in Computer Science Engineering, or a related field. 7 to 10+ years of experience in full-stack development, with a strong focus on DevOps. DevOps with AWS Data Engineer - Roles & Responsibilities: Use AWS services like EC2, VPC, S3, IAM, RDS, and Route 53. Automate infrastructure using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation . Build and maintain CI/CD pipelines using tools AWS CodePipeline, Jenkins,GitLab CI/CD. Cross-Functional Collaboration Automate build, test, and deployment processes for Java applications. Use Ansible , Chef , or AWS Systems Manager for managing configurations across environments. Containerize Java apps using Docker . Deploy and manage containers using Amazon ECS , EKS (Kubernetes) , or Fargate . Monitoring & Logging using Amazon CloudWatch,Prometheus + Grafana,E Stack (Elasticsearch, Logstash, Kibana),AWS X-Ray for distributed tracing manage access with IAM roles/policies . Use AWS Secrets Manager / Parameter Store for managing credentials. Enforce security best practices , encryption, and audits. Automate backups for databases and services using AWS Backup , RDS Snapshots , and S3 lifecycle rules . Implement Disaster Recovery (DR) strategies. Work closely with development teams to integrate DevOps practices. Document pipelines, architecture, and troubleshooting runbooks. Monitor and optimize AWS resource usage. Use AWS Cost Explorer , Budgets , and Savings Plans . Must-Have Skills: Experience working on Linux-based infrastructure. Excellent understanding of Ruby, Python, Perl, and Java . Configuration and managing databases such as MySQL, Mongo. Excellent troubleshooting. Selecting and deploying appropriate CI/CD tools Working knowledge of various tools, open-source technologies, and cloud services. Awareness of critical concepts in DevOps and Agile principles. Managing stakeholders and external interfaces. Setting up tools and required infrastructure. Defining and setting development, testing, release, update, and support processes for DevOps operation. Have the technical skills to review, verify, and validate the software code developed in the project. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm (Monday-26th May to Friday-30th May)

CLOUD APPLICATION DEVELOPER (IBM & AWS)- Job mode: Hybrid Notice - 30 days Job Requirement: IBM On Demand, Java, Spring Boot, AWS (Lambda, services) , AWS RDS, Shell Script, CI CD (Bamboo knowledge)

We are looking for a Cloud Application Developer. Youll make a difference by: Having proficiency in development of backend(python) and smaller frontend applications(angular) using on our AWS-based managed cloud environment. Having hands-on experience with Contribution to development of larger composite applications. Having Knowledge in Operating and troubleshooting existing applications. Having ability to Break down and implement high level concepts created by architects and PO. Having exposure of AWS cloud platform services (Lambda, ECS, S3, RDS/DynamoDB), certification is a plus. Having Practical experience in setting up and maintaining CI/CD pipelines, containerization (Docker), and version control systems (Git). Having Proficiency in full-stack technologies (front-end Angular), databases, APIs) Youll win us over by: Holding a graduate BE / B.Tech / MCA/M.Tech/M.Sc with good academic record. 5+ Years of Experience in Software development, with a focus on Python. Familiar with agile development processes and principles. Optional skills: C#, Kubernetes, DevOps engineering, Infrastructure-as-Code

Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , alerting , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services .

Experience: 10+ Years Job Description: Role Overview: We are seeking an experienced AWS Data & Analytics Architect with a strong background in delivery and excellent communication skills. The ideal candidate will have over 10 years of experience and a proven track record in managing teams and client relationships. You will be responsible for leading data modernization and transformation projects using AWS services. Key Responsibilities: Lead and architect data modernization/transformation projects using AWS services. Manage and mentor a team of data engineers and analysts. Build and maintain strong client relationships, ensuring successful project delivery. Design and implement scalable data architectures and solutions. Oversee the migration of large datasets to AWS, ensuring data integrity and security. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Ensure best practices in data management and governance are followed. Required Skills and Experience: 10+ years of experience in data architecture and analytics. Hands-on experience with AWS services such as Redshift, S3, Glue, Lambda, RDS, and others. Proven experience in delivering 1-2 large data migration/modernization projects using AWS. Strong leadership and team management skills. Excellent communication and interpersonal skills. Deep understanding of data modeling, ETL processes, and data warehousing. Experience with data governance and security best practices. Ability to work in a fast-paced, dynamic environment. Preferred Qualifications: AWS Certified Solutions Architect Professional or AWS Certified Big Data Specialty. Experience with other cloud platforms (e.g., Azure, GCP) is a plus. Familiarity with machine learning and AI technologies.

What you need BS in an Engineering or Science discipline, or equivalent experience 5+ years of software/data engineering experience using Java, Scala, and/or Python, with at least 3 years experience in a data and BI focused role Experience in data integration (ETL/ELT) development using multiple languages (e.g., Python, PySpark, SparkSQL) and data transformation (e.g., dbt) Experience building data pipelines supporting a variety of integration and information delivery methods as well as data modelling techniques and analytics Knowledge and experience with various relational databases and demonstrable proficiency in SQL and data analysis requiring complex queries, and optimization Experience with AWS-based data services technologies (e.g., Glue, RDS, Athena, etc.) and Snowflake CDW, as well as BI tools (e.g., PowerBI) Willingness to experiment and learn new approaches and technology applications Knowledge of software engineering and agile development best practices Excellent written and verbal communication skills

We are looking for DevOps Engineer How do you craft the future Smart Buildings? Were looking for the makers of tomorrow, the hardworking individuals ready to help Siemens transform entire industries, cities and even countries. Get to know us from the inside, develop your skills on the job. Youll make a difference by Designing, deploying, and managing AWS cloud infrastructure, including compute, storage, networking, and security services. Implementing and maintaining CI/CD pipelines using tools like GitLab CI, Jenkins, or similar technologies to automate build, test, and deployment processes. Collaborating with development teams to streamline development workflows and improve release cycles. Monitor and troubleshoot infrastructure and application issues, ensuring high availability and performance. Implementing infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and configuration management. Maintaining version control systems and Git repositories for codebase management and collaboration. Implementing and enforce security best practices and compliance standards in cloud environments. Continuously evaluate and embrace new technologies, tools, and best practices to improve efficiency and reliability. There are a lot of learning opportunities for our new team member. An openness to learn more about data analytics (including AI) offerings is part of your motivation Your defining qualities A University degree in Computer Science or a comparable education, we are flexible if a high quality of code is ensured. Proven experience (3-5 years) with common DevOps practices such as CI/CD pipelines (GitLab), Container and orchestration (Docker, ECS, EKS, Helm) and infrastructure as code (Terraform) Working knowledge of TypeScript, JavaScript, and Node.js. Good exposure to AWS cloud Thriving in working independently, i.e., can break down high-level objectives into concrete key results and implement those. Able to work with AWS from day one, familiarity with AWS services beyond EC2 (e.g., Fargate, RDS, IAM, Lambda) is something we expect from applicants. Having good knowledge of configuring logging and monitoring infrastructure with ELK, Prometheus, CloudWatch, Grafana. When it comes to methodologies, having knowledge of agile software development processes would be highly valued. Having the right demeanor, allowing you to navigate within a complex global organization and getting things done. We need a person with an absolute willingness to support the team, a proactive and stress-resistant personality. Business fluency in English

We are looking for Site Reliability Engineer! Youll make a difference by: SRE L1 Commander is responsible for ensuring the stability, availability, and performance of critical systems and services. As the first line of defense in incident management and monitoring, the role requires real-time response, proactive problem solving, and strong coordination skills to address production issues efficiently. Monitoring and Alerting: Proactively monitor system health, performance, and uptime using monitoring tools like Datadog, Prometheus. Serving as the primary responder for incidents to troubleshoot and resolve issues quickly, ensuring minimal impact on end-users. Accurately categorizing incidents, prioritize them based on severity, and escalate to L2/L3 teams when necessary. Ensuring systems meet Service Level Objectives (SLOs) and maintain uptime as per SLAs. Collaborating with DevOps and L2 teams to automate manual processes for incident response and operational tasks. Performing root cause analysis (RCA) of incidents using log aggregators and observability tools to identify patterns and recurring issues. Following predefined runbooks/playbooks to resolve known issues and document fixes for new problems. Youd describe yourself as: Experienced professional with 4 to 6 years of relevant experience in SRE, DevOps, or Production Support with monitoring tools (e.g., Prometheus, Datadog). Working knowledge of Linux/Unix operating systems and basic scripting skills (Python, Gitlab actions) cloud platforms (AWS, Azure, or GCP). Familiarity with container orchestration (Kubernetes, Docker, Helmcharts) and CI/CD pipelines. Exposure with ArgoCD for implementing GitOps workflows and automated deployments for containerized applications. Possessing experience in Monitoring: Datadog, Infrastructure: AWS EC2, Lambda, ECS/EKS, RDS, Networking: VPC, Route 53, ELB and Storage: S3, EFS, Glacier. Strong troubleshooting and analytical skills to resolve production incidents effectively. Basic understanding of networking concepts (DNS, Load Balancers, Firewalls). Good communication and interpersonal skills for incident communication and escalation. Having preferred certifications: AWS Certified SysOps Administrator Associate, AWS Certified Solutions Architect Associate or AWS Certified DevOps Engineer Professional

Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience: 13 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications: Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. Experience with data or model versioning tools and feature engineering frameworks.

Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience: 13 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications: Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. Experience with data or model versioning tools and feature engineering frameworks.

With a deep focus on TypeScript, they are developing both the frontend (React/Next.js) and backend (Node.js/NestJS) of the platform. In addition, they are also responsible for the cloud infrastructure, including the setup of CI/CD pipelines, deployment processes, and monitoring via AWS services. They bring a solution-oriented mindset, strong communication skills (English), and a high level of ownership and reliability to the teamcontributing across all areas of the product development lifecycle. Language TypeScript (Fullstack) Frontend React (Next.js) - Tailwind CSS or MUI Backend Node.js with Express or NestJS Mobile (optional) React Native (Expo) Cloud AWS (e.g. EC2, ECS, Fargate, Lambda, S3, RDS) DevOps Docker, GitHub Actions (CI/CD), Monitoring Database PostgreSQL, Redis, DynamoDB Soft-Skills - Clear and proactive communication across time zones - Critical thinking and solution-oriented mindset - High reliability and ownership delivering consistent results - Collaborative working style that fits seamlessly into our startup culture - Continuous learning mentality, keeping up with best practices They dont just write code they contribute to product thinking, help us move fast without breaking things, and are a core part of our extended team.

.net core: Sr. Software Engineer - J48935 6+ years of experience in software development. Strong expertise in .NET Core (8 or above) and microservices architecture. Experience with test automation (unit & e2e). Proficient with AWS (EC2, RDS, EKS), Linux commands, and deployment practices. Familiarity with CI/CD processes (Jenkins), Git, Jira, and Confluence. Required Candidate profile Candidate Experience Should Be : 7 To 11 Candidate Degree Should Be : BE-Comp/IT

Location: India/Remote About the Job: We are seeking a seasoned Java Full Stack Enterprise Architect with 14 to 19 years of experience to lead and drive enterprise-level projects. The ideal candidate will have strong expertise in Java , AWS (Amazon Web Services) , Kafka , Docker , Kubernetes , and other cutting-edge technologies. This role requires experience in application transformation, modernization , and containerization initiatives. Prior experience in the healthcare industry is highly desirable. What you will do: Architectural Leadership Design and implement scalable, resilient, and secure full-stack solutions using Java and modern frameworks. Provide end-to-end architecture guidance for enterprise transformation and modernization projects. Define best practices for application design, development, deployment, and maintenance in a cloud-native environment. Cloud and AWS Solutioning Architect solutions leveraging AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB). Develop and maintain cloud migration strategies, ensuring high availability and cost optimization. Create detailed documentation, including solution designs and architectural diagrams. Containerization & Orchestration Lead the adoption of Docker and Kubernetes to containerize applications. Oversee the orchestration of microservices in distributed systems to ensure scalability and reliability. Define CI/CD pipelines to automate deployment processes. Data Streaming & Integration Design and implement event-driven architectures using Kafka. Ensure seamless integration across enterprise systems and data pipelines. Transformation & Modernization Drive legacy application modernization to microservices and cloud-native architecture. Assess current technology stack and recommend improvements to align with business goals. Team Collaboration Mentor engineering teams, fostering a culture of innovation and continuous improvement. Collaborate with cross-functional teams, including product managers, developers, and business stakeholders. Who you are: Education Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred). 14+ years of experience in Java Full Stack Architecture. Technical Skills: Core Expertise : Java, Spring Boot, RESTful APIs, and front-end technologies (e.g., Angular, React, or Vue.js). Cloud Technologies : Strong experience with AWS services , cloud-native application development, and deployment strategies. Containerization & Orchestration : Proficiency in Docker , Kubernetes , and Helm. Data Streaming : Advanced knowledge of Kafka , including architecture, implementation, and troubleshooting. Modernization : Hands-on experience with application transformation and legacy system modernization projects. Leadership : Proven ability to lead large teams, drive complex projects, and align technical deliverables with business objectives. Industry Knowledge : Prior experience in the healthcare industry is a plus but not mandatory. Preferred Qualifications Certifications: AWS Certified Solutions Architect or equivalent certifications. Experience with healthcare standards (e.g., HIPAA, HL7, FHIR) is a significant advantage. Strong understanding of DevOps practices and tools (e.g., Jenkins, GitHub Actions). Soft Skills Attention to detail. Dedicated self-starter with excellent people skills. Quick learner and a go-getter. Effective time and project management. Analytical thinker and a great team player. Strong leadership, interpersonal & problem-solving skills. English Language proficiency is required to effectively communicate in a professional environment. Excellent communication skills are a must. Strong problem-solving skills and a creative mindset to bring fresh ideas to the table. Should demonstrate confidence and self-assurance in their skills and expertise enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.

We are looking for a highly motivated individual that is excited about continually learning new things and being part of a fast-paced team that is delivering cutting edge solutions that drive new products and features that are critical for our customers. In this role, you will work across geographical and organizational boundaries with all levels of software engineers, technical management, and business partners. As part of the Development team, you will help maintain the quality, reliability and availability of key systems that provide search and information retrieval for our core products. The ideal candidate will have extensive skills in the areas of design, development, delivery, execution, leadership, mentoring and directing co-workers across geographic boundaries. About the Role: In this role you will play a Senior Software Engineer role. Primary responsibilities for the role include working with technology peers and business partners to solve business problems and providing support to ensure the availability of our products are met. Develop high quality code Maintain existing software solutions by fixing bugs and optimizing performance Provide technical support to operations or other development teams by troubleshooting, debugging and solving critical issues in the production environment in a timely manner to minimize user and revenue impact. Work closely with our business partners and stakeholders to identify requirements and priority of new enhancements and features and ensure that the stakeholders needs are being met. Improve system reliability by implementing automated testing and deployment strategies Design microservices architecture for complex applications Participate in design discussions with other engineers Continuously improve your knowledge of programming languages and technologies Lead small projects or tasks within a larger project team Guide junior developers on best practices and coding standards About you Bachelor's degree in computer science, engineering, information technology or equivalent experience Java, Microservices, Spring boot, JavaScript with AWS & Python 6+ years of experience in Java technologies 1+ years of experience in Python 3+ years of experience in developing Spring boot based microservices 2+ years of experience in frontend technologies such as JavaScript 3+ years of background in software development using AWS capabilities (EC2, Lambda, IAM, RDS, CloudFormation) Broad experience in enterprise-class system design and development including use of the following technologies: Java, Oracle, SQL, Messaging technologies experience of working across geographical sites experience with CI/CD Pipelines and Github actions Demonstrated understanding of Linux operating system Excellent interpersonal, verbal, and written communication skills

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant. The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across TR. At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Software Engineer with a passion for engineering cloud-based data platform systems. Join our dynamic team as a Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will develop and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems. In this opportunity as the Software Engineer, you will: Develop data processing applications and frameworks on cloud-based infrastructure in partnership with Data Analysts and Architects with guidance from Lead Software Engineer. Innovate with new approaches to meet data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and AWS frameworks, documentation, and usability by stakeholders. Contribute to improving the customer experience. Participate in code reviews to maintain a high-quality codebase Collaborate with cross-functional teams to define, design, and ship new features Work closely with product owners, designers, and other developers to understand requirements and deliver solutions. Effectively communicate and liaise across the data platform & management teams Stay updated on emerging trends and technologies in cloud computing About You You're a fit for the role of Software Engineer, if you meet all or most of these criteria: Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations. Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability. Proficient in Python programming language. Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Good knowledge in Consuming and building APIs Business Intelligence tools like PowerBI Fluency in querying languages such as SQL Solid understanding in Software development practices such as version control via Git, CI/CD and Release management Agile development cadence Good critical thinking, communication, documentation, troubleshooting and collaborative skills.

Responsibilities: Design and implement cloud solutions using AWS and Azure. Develop and maintain Infrastructure as Code (IAC) with Terraform. Create and manage CI/CD pipelines using GitHub Actions and Azure DevOps. Automate deployment processes and provisioning of compute instances and storage. Orchestrate container deployments with Kubernetes. Develop automation scripts in Python, PowerShell, and Bash. Monitor and optimize cloud resources for performance and cost-efficiency using tools like Datadog and Splunk. Configure Security Groups, IAM policies, and roles in AWS\Azure. Troubleshoot production issues and ensure system reliability. Collaborate with development teams to integrate DevOps and MLOps practices. Create comprehensive documentation and provide technical guidance. Continuously evaluate and integrate new AWS services and technologies Cloud engineering certifications (AWS, Terraform) are a plus. Excellent communication and problem-solving skills. Minimum Qualifications: Bachelors Degree in Computer Science or equivalent experience. Minimum of five years in cloud engineering, DevOps, or Site Reliability Engineering (SRE). Hands-on experience with AWS and Azure cloud services, including IAM, Compute, Storage, ELB, RDS, VPC, TGW, Route 53, ACM, Serverless computing, Containerization, CloudWatch, CloudTrail, SQS, and SNS. Experience with configuration management tools like Ansible, Chef, or Puppet. Proficiency in Infrastructure as Code (IAC) using Terraform. Strong background in CI/CD pipelines using GitHub Actions and Azure DevOps. Knowledge of MLOps or LLMops practices. Proficient in scripting languages: Python, PowerShell, Bash. Ability to work collaboratively in a fast-paced environment. Preferred Qualifications: Advanced degree in a technical field. Extensive experience with ReactJS and modern web technologies. Proven leadership in agile and project management. Advanced knowledge of CI/CD and industry best practices in software development.

About the Role: Grade Level (for internal use): 10 The Role: Cloud DevOps Engineer The Impact: This role is crucial to the business as it directly contributes to the development and maintenance of cloud-based DevOps solutions on the AWS platform. Whats in it for you: Drive Innovation : Join a dynamic and forward-thinking organization at the forefront of the automotive industry. Contribute to shaping our cloud infrastructure and drive innovation in cloud-based solutions on the AWS platform. Technical Growth : Gain valuable experience and enhance your skills by working with a team of talented cloud engineers. Take on challenging projects and collaborate with cross-functional teams to define and implement cloud infrastructure strategies. Impactful Solutions : Contribute to the development of solutions that directly impact the scalability, reliability, and security of our cloud infrastructure. Play a key role in delivering high-quality products and services to our clients. We are seeking a highly skilled and driven Cloud DevOps Engineer to join our team. Candidate should have experience with developing and deploying native cloud-based solutions, possess a passion for container-based technologies, immutable infrastructure, and continuous delivery practices in deploying global software. Responsibilities: Deploy scalable, highly available, secure, and fault tolerant systems on AWS for the development and test lifecycle of AWS Cloud Native solutions Configure and manage AWS environment for usage with web applications Engage with development teams to document and implement best practice (low maintenance) cloud-native solutions for new products Focus on building Dockerized application components and integrating with AWS ECS Contribute to application design and architecture, especially as it relates to AWS services Manage AWS security groups Collaborate closely with the Technical Architects by providing input into the overall solution architecture Implement DevOps technologies and processes i.e., containerization, CI/CD, infrastructure as code, metrics, monitoring etc. Experience of networks, security, load balancers, DNS and other infrastructure components and their application to cloud (AWS) environments Passion for solving challenging issues Promote cooperation and commitment within a team to achieve common goals What you will need: Understanding of networking, infrastructure, and applications from a DevOps perspective Infrastructure as code ( IaC ) using Terraform and CloudFormation Deep knowledge of AWS especially with services like ECS/Fargate, ECR, S3/CloudFront, Load Balancing, Lambda, VPC, Route 53, RDS, CloudWatch, EC2 and AWS Security Center Experience managing AWS security groups Experience building scalable infrastructure in AWS Experience with one or more AWS SDKs and/or CLI Experience in Automation, CI/CD pipelines, DevOps principles Experience with Docker containers Experience with operational tools and ability to apply best practices for infrastructure and software deployment Software design fundamentals in data structures, algorithm design and performance analysis Experience working in an Agile Development environment Strong written and verbal communication and presentation skills Education and Experience: Bachelor's degree in Computer Science, Information Systems, Information Technology, or a similar major or CertifiedDevelopment Program 2-3 years of experience managing AWS application environment and deployments 5+ years of experience working in a development organization

Role & responsibilities We required 4+ years exp resource in performance tester. Conducting capacity plans Preparing Impact assessment for new project requirements workload modeling, gatling scripting and scenario creation stub creation and deployment CICD using harness and Jenkins Performance testing (Load & Soak testing) Cloud services: (Amazon Elastic cache, RDS, ECS, EKS, CloudFormation) Performance monitoring tools: AppDynamics, Grafana, Splunk and AWS CloudWatch Analysis and Reporting Conduct reviews and grant approval for impact assessments and test summary reports from other performance test engineers Version control: Git, Github Confluence, Rally and Control center Interested candidate can share me there updated resume in recruiter.wtr26@walkingtree.in

8+ yrs of exp in S/W dev with a focus on AWS solutions , architecture. Exp in architecture applications using EKS. AWS certifications - AWS Certified Solutions Architect Design, develop, and implement microservices-based AWS using Java

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.