12+ AWS CloudFormation Jobs in Chennai | AWS CloudFormation Job openings in Chennai

Job Description:

We are looking for a Lead Java Developer – Backend with a strong foundation in software engineering and hands-on experience in designing and building scalable, high-performance backend systems. You’ll be working within our Digital Engineering Studios on impactful and transformative projects in a fast-paced environment.

Key Responsibilities:

• Lead and mentor backend development teams.
• Design and develop scalable backend applications using Java and Spring Boot.
• Ensure high standards of code quality through best practices such as SOLID principles and clean code.
• Participate in pair programming, code reviews, and continuous integration processes.
• Drive Agile, Lean, and Continuous Delivery practices like TDD, BDD, and CI/CD.
• Collaborate with cross-functional teams and clients for successful delivery.

Required Skills & Experience:

• 9–12+ years of experience in backend development (Up to 17 years may be considered).
• Strong programming skills in Java and backend frameworks such as Spring Boot.
• Experience in designing and building large-scale, custom-built, scalable applications.
• Sound understanding of Object-Oriented Design (OOD) and SOLID principles.
• Hands-on experience with Agile methodologies, TDD/BDD, CI/CD pipelines.
• Familiarity with DevOps practices, Docker, Kubernetes, and Infrastructure as Code.
• Good understanding of cloud technologies – especially AWS, and exposure to GCP or Azure.
• Experience working in a product engineering environment is a plus.
• Startup experience or working in fast-paced, high-impact teams is highly desirable.

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Dear Candidate,

We are urgently Hiring AWS Cloud Engineer for Bangalore Location.

Position: AWS Cloud Engineer

Location: Bangalore

Experience: 8-11 yrs

Skills: Aws Cloud

Salary: Best in Industry (20-25% Hike on the current ctc)

Note:

only Immediate to 15 days Joiners will be preferred.

Candidates from Tier 1 companies will only be shortlisted and selected

Candidates' NP more than 30 days will get rejected while screening.

Offer shoppers will be rejected.

Job description:

Description:

Title: AWS Cloud Engineer

Prefer BLR / HYD – else any location is fine

Work Mode: Hybrid – based on HR rule (currently 1 day per month)

Shift Timings 24 x 7 (Work in shifts on rotational basis)

Total Experience in Years- 8+ yrs, 5 yrs of relevant exp is required.

Must have- AWS platform, Terraform, Redshift / Snowflake, Python / Shell Scripting

Experience and Skills Requirements:

Experience:

8 years of experience in a technical role working with AWS

Mandatory

Technical troubleshooting and problem solving

AWS management of large-scale IaaS PaaS solutions

Cloud networking and security fundamentals

Experience using containerization in AWS

Working Data warehouse knowledge Redshift and Snowflake preferred

Working with IaC – Terraform and Cloud Formation

Working understanding of scripting languages including Python and Shell

Collaboration and communication skills

Highly adaptable to changes in a technical environment

Optional

Experience using monitoring and observer ability toolsets inc. Splunk, Datadog

Experience using Github Actions

Experience using AWS RDS/SQL based solutions

Experience working with streaming technologies inc. Kafka, Apache Flink

Experience working with a ETL environments

Experience working with a confluent cloud platform

Certifications:

Minimum

AWS Certified SysOps Administrator – Associate

AWS Certified DevOps Engineer - Professional

Preferred

AWS Certified Solutions Architect – Associate

Responsibilities:

Responsible for technical delivery of managed services across NTT Data customer account base. Working as part of a team providing a Shared Managed Service.

The following is a list of expected responsibilities:

To manage and support a customer’s AWS platform

To be technical hands on

Provide Incident and Problem management on the AWS IaaS and PaaS Platform

Involvement in the resolution or high priority Incidents and problems in an efficient and timely manner

Actively monitor an AWS platform for technical issues

To be involved in the resolution of technical incidents tickets

Assist in the root cause analysis of incidents

Assist with improving efficiency and processes within the team

Examining traces and logs

Working with third party suppliers and AWS to jointly resolve incidents

Good to have:

Confluent Cloud

Snowflake

Best Regards,

Minakshi Soni

Executive - Talent Acquisition (L2)

Rigel Networks

Worldwide Locations: USA | HK | IN 

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

Essential Skills:

• 8 years experience delivering highly available web/mobile applications including 1-3 years as Senior/Lead developer. Prior experience in retail domain is a plus
• 3 years of experience working with distributed teams
• Deep knowledge of UI Libraries / Frameworks, API (REST), API Management and building scalable and high performance Web APIs
• Must have experience building websites using Javascript and Java technologies (e.g. Typescript, Spring Boot). Search Engine and Native App development experience is a plus.
• AWS Serverless Cloud native services experience with Lambda functions, SNS, SQS, DynamoDB, API Gateway etc
• Strong knowledge of Caching frameworks, data structures, algorithms, operating systems, and distributed systems
• Strong understanding of databases, NoSQL data stores, storage and distributed persistence technologies
• Strong communication and presentation skills
• Passionate about enabling next generation experiences
• Experience with automated testing, deployment pipelines and cloud based infrastructure

ROLE DESCRIPTIPON:

• Develop omni-channel digital solutions leveraging serverless and micro services in a cloud based platform to develop backend services.
• Design high/low level solutions, contribute towards architecture and technical roadmap
• Lead technical implementation/delivery.
• Host/Lead technical discussions
• Champion software development best practices, test driven development, CI and CD
• Build cloud native and highly cost efficient solutions
• Innovate, Unlearn and Disrupt. Research next generation frameworks and technologies. Embrace change.

Job Sector: IT, Software

Job Type: Permanent

Location: Chennai

Experience: 5 -6 Years

Salary: 10 - 12 LPA

Education: B.E/BTech

Notice Period: Immediate

Key Skills: Web apps developer, scrum master, Agile, waterfall, Azure, AWS

Contact at triple eight two zero nine four two double seven

Job Description:

Knowledge & Experience

• 5+ years of Scrum Master experience.
• Experience working with an offshore/onshore team model
• Thorough understanding of agile software development methodologies, values, and procedures.
• Thorough understanding of the software development lifecycle.
• Understanding of organization’s development platform and languages.
• Ability to understand technical issues.

As a Scala Developer, you are part of the development of the core applications using the Micro Service paradigm. You will join an Agile team, working closely with our product owner, building and delivering a set of Services as part of our order management and fulfilment platform. We deliver value to our business with every release, meaning that you will immediately be able to contribute and make a positive impact.

Our approach to technology is to use the right tool for the job and, through good software engineering practices such as TDD and CI/CD, to build high-quality solutions that are built with a view to maintenance. 

Minimum Qualifications:

• Minimum 5 years of experience with Java platform and technologies.
• Minimum 5 years of experience with HTML5, CSS and Angular.
• Experience with enterprise level application design and development is a must.
• Expert level knowledge in Java Spring framework, JHipster, PostgreSQL, HTML5, Angular, CSS
• Must have previously worked in an environment using version control systems such as Bitbucket.
• Good knowledge of RDBMS such as Postgres and MySQL. Should be proficient in SQL and assessing performance of queries. Some ability to monitor and maintain the database is needed.
• Experience with AWS RDS is MUST.
• Minimum 3 years of experience deploying Java applications on the AWS cloud.
• Ability to handle front-end development (Angular JS) is a MUST.
• Experience working with Monday, Atlassian project management tools (JIRA/Bitbucket/Confluence) or similar is a must.

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database