Top Tech Jobs & Startup Jobs in Delhi

Design, develop and maintain automated test suites using BDD/Cucumber and Selenium. Perform functional, regression and integration testing on Adobe AEM applications within SAFe Agile teams, ensure test traceability, support CI/CD pipelines, and report automation status and ROI.

Develop and maintain Java-based web applications using Spring Boot and RESTful APIs. Design, build, and document customer-facing APIs, leverage AWS services (SQS, Lambda, DynamoDB, RDS, S3, Kinesis, CloudFormation), own full development lifecycle from analysis to production, and manage time and continuous learning to meet business requirements.

Design, build, and maintain high-performance Spring Boot REST APIs and microservices. Integrate and optimize Snowflake data sources, implement security (OAuth2/JWT/Spring Security), deploy containerized services with Docker/Kubernetes, and support CI/CD and testing in an Agile environment.

Develop and maintain mainframe applications and batch jobs using COBOL, JCL on MVS. Work with DB2, VSAM, CICS and tools like Endevor, ISPF, TSO, Control-M and IBM utilities.

Design, develop, and maintain test automation frameworks and automated tests (API and UI). Lead code reviews and standards, collaborate with architects, dev and business stakeholders, mentor QE teams, drive CI/CD integration, apply TDD concepts, and improve automation maintainability and processes.

Design, develop and execute tests for mainframe applications using CICS, COBOL, JCL, VSAM and IBM utilities. Build/maintain automation (mainframe, Selenium or API), troubleshoot defects, work with Ops cycle and use tools like FILE-AID, SPUFI and Endeavor to validate data and deployments.

Network Engineer responsible for designing, implementing, and supporting VPNs (Pulse, ZPA), load balancers, PKI/certificate and key management, encryption and security protocols, IPsec/SSL VPNs, TCP/IP and routing, WLAN/WAN (MPLS), firewalls, DNS/DHCP, LDAP/proxy and web server technologies, and scripting/automation (Python).

Provide 16x7 application support for cloud-based systems, including SQL/PLSQL troubleshooting, log analysis, SFTP/file navigation, observability with DataDog, and working with AWS, S3, and Kubernetes. Follow SLAs and ITSM processes; support batch scheduling tools like Control-M or Autosys.

Operate and support cloud infrastructure with weekend on-call responsibility. Manage AWS services, databases, Snowflake, job schedulers, ITSM, monitoring platforms, and automate with Python/shell scripting.

Maintain production stability for mainframe applications by fixing production incidents and delivering minor enhancements. Analyze complex mainframe programs, perform unit testing, support MVS environment, collaborate with global cross-functional teams, and work in an agile setup while managing stakeholders.