Job Summary: We’re looking for a seasoned Automation Engineer with 7+ years of experience in automation, scripting, and cloud-based systems. The ideal candidate will have strong proficiency in Python , AWS , and CI/CD automation, with exposure to Spring Boot applications. Responsibilities: Develop and maintain automation scripts using Python and PyTest for deployment, testing, and monitoring. Automate infrastructure and application deployments on AWS using Terraform or CloudFormation. Build and manage CI/CD pipelines using GitLab CI . Collaborate with developers to automate testing and deployment of Spring Boot microservices. Monitor and troubleshoot cloud environments (CloudWatch, CloudTrail). Requirements: 7+ years in automation, DevOps, or cloud engineering. Strong Python scripting and experience with PyTest . Hands-on experience with AWS (EC2, Lambda, S3, IAM, etc.). Proficiency with GitLab , Git, and CI/CD pipelines. Experience with Spring Boot applications in deployment/testing contexts. Familiarity with Docker , Kubernetes (EKS), and Infrastructure as Code (Terraform/CloudFormation). Preferred: AWS certification (DevOps/Solutions Architect). Experience in Agile/Scrum environments. Show more Show less

About the Role: We are looking for a Senior Automation Engineer with strong experience in Python , Pytest , TestNG , GitLab CI/CD , and AWS . You will be responsible for building robust test frameworks, integrating automation into CI/CD pipelines, and ensuring high product quality in a cloud-native environment. Responsibilities: Develop and maintain automated test suites using Python, Pytest, TestNG Integrate automation with GitLab pipelines for CI/CD Test backend APIs and cloud-based services on AWS Collaborate with QA, DevOps, and development teams Troubleshoot test failures and ensure high test coverage Required Skills: 7+ years in test automation Proficient in Python , Pytest , TestNG Experience with GitLab CI/CD Good knowledge of AWS services (EC2, S3, Lambda, etc.) Strong API testing and debugging skills Nice to Have: Docker/Kubernetes familiarity Performance testing tools (JMeter, Locust) AWS certification Show more Show less

Role: AWS Data Engineer Experience: 12+ years JD for AWS (DE) Experience in EMR Knowledge of Python Programing language Knowledge of Data Processing using Pandas Library Extensive knowledge of processing csv, excel, json, yaml files using python Good knowledge of Big data technologies : Pyspark, Hadoop, Hive Knowledge of AWS services: S3, Lambda, Redshift, Glue Hands on experience on Apache Airflow for building workflows Knowledge of building ETL and Data pipelines Show more Show less

Snowflake Developer (Overall 7-9 years) 3–4 years of hands-on experience in Snowflake data warehouse development Performance tuning, and database process optimization. Snowflake certified with a solid understanding of security, roles, warehouses, and best practices. Certification is required Strong knowledge of ELT/ETL tools with practical exposure to Alteryx for data preparation and transformation. Show more Show less

Snowflake Developer (Overall 7-9 years) 3–4 years of hands-on experience in Snowflake data warehouse development Performance tuning, and database process optimization. Snowflake certified with a solid understanding of security, roles, warehouses, and best practices. Certification is required Strong knowledge of ELT/ETL tools with practical exposure to Alteryx for data preparation and transformation. Show more Show less

Core data engineering tools and frameworks like Azure, Snowflake, DBT, Python, SQL, Git Solid data modelling and data management fundamentals at all levels to drive the ETL development lifecycle at all layers (conceptual, logical, physical) Git versioning practices for CI/CD DevOps alignment The ability to operate independently, take ownership, and provide mentorship within the team Show more Show less