Role: Engineer
Required Skills: CSS3 | HTML5 | Java
Qualification: BACHELOR OF ENGINEERING
Experience: 6 - 12 Years
Function: TECHNOLOGY
Apply By: 2027-01-03
Must Have Technical/Functional Skills
- 15+ years of software engineering experience [Java], including substantial hands-on development and technical
leadership in Java-based enterprise applications.
- Strong hands-on expertise in Java 21, with strong understanding of modern Java features and their application
in enterprise-grade systems.
- Strong experience with Java 21, Spring Boot 3.x, Spring Framework 6.x, Spring Security, Hibernate/JPA, and
RESTful APIs.
- Hands-on knowledge of Virtual Threads, Records, Sealed Classes, Pattern Matching, enhanced Switch
expressions, Streams, Collections, concurrency, JVM internals, memory management, garbage collection, and
performance tuning.
- Extensive experience designing and developing microservices-based, cloud-native, and distributed
applications.
- Strong Kubernetes experience covering deployments, services, ingress, configuration, secrets, autoscaling,
health probes, resource management, namespaces, RBAC, Helm, upgrade planning, and production
troubleshooting.
- Strong container engineering experience with Docker, secure base images, image scanning, registries, and
container runtime practices.
- Experience implementing and maintaining CI/CD pipelines and infrastructure automation using tools such as
GitHub Actions or Jenkins, Maven or Gradle, SonarQube, artifact repositories, Terraform or Bicep, and
Git-based workflows.
- Hands-on experience with NoSQL databases, preferably MongoDB; experience with Azure Cosmos DB is also
acceptable.
- Practical experience with Microsoft Azure or equivalent cloud platforms, including cloud-native application
deployment, monitoring, security, scalability, and resiliency.
- Strong knowledge of automated testing using JUnit, Mockito, API testing tools, and frontend testing
frameworks.
- Experience with application security concepts, including authentication, authorization, OAuth 2.0, JWT, secure
API development, and vulnerability remediation.
- Strong production support experience involving incident management, root-cause analysis, log analysis,
troubleshooting, performance optimization, defect resolution, and problem management.
- Experience with monitoring and observability platforms such as Splunk, Dynatrace, Application Insights,
Grafana, or Prometheus.
- Demonstrated experience working on application modernization, monolith-to-microservices transformation,
cloud migration, and legacy platform integration.
- Experience participating in solution architecture discussions, technical design reviews, code reviews, release
planning, and technology roadmap development.
- Ability to translate business and functional requirements into scalable technical solutions, detailed designs, and
implementation plans.
- Strong experience in AI-Driven Software Development Lifecycle (AIDLC), utilizing enterprise-approved AI tools
such as GitHub Copilot and Microsoft 365 Copilot to accelerate software development, testing, documentation,
troubleshooting, and delivery outcomes.
Final approved job description
- Experience working with business-critical applications, regulatory environments, security standards, and
enterprise govern ance processes.
AI-Enabled Engineering Practices
- Apply enterprise-approved AI-assisted engineering tools to coding, testing, documentation, code
comprehension, and troubleshooting while complying with security and governance requirements.
- Promote responsible adoption of AI-assisted development through human review, secure prompt and data
handling, code-quality checks, traceability, and measurable engineering outcomes.
Azure and Kubernetes Engineering Expectations
- Design secure AKS workloads with appropriate identity, network controls, secret management, pod security,
RBAC, autoscaling, resource limits, and workload isolation.
- Implement Azure-native integration and monitoring patterns using services such as API Management, Key
Vault, Service Bus, Event Hubs, Azure Monitor, and Application Insights.
- Troubleshoot container startup failures, readiness and liveness issues, image and registry problems, DNS and
network connectivity, resource pressure, scaling behavior, and deployment rollback scenarios.
- Apply infrastructure-as-code, immutable deployment practices, policy enforcement, vulnerability management,
and environment-promotion controls across the delivery lifecycle.
Roles & Responsibilities
- Design, develop, and support scalable enterprise applications.
- Develop and maintain microservices-based applications using Java, Spring Boot, and cloud-native
technologies.
- Collaborate with stakeholders to deliver business outcomes.
- Own the end-to-end technical solution from requirements and architecture through development, testing,
deployment, stabilization, and post-production support.
- Design and develop scalable Java and Spring Boot microservices, REST APIs, integration services, and
event-driven components.
- Define cloud-native architecture on Azure with emphasis on security, resilience, scalability, availability, cost
awareness, and operational supportability.
- Lead deployment and lifecycle management of applications on AKS or OpenShift using Docker, Kubernetes
manifests, Helm charts, GitOps, and automated release pipelines.
- Drive modernization of legacy and monolithic applications into modular, API-led, microservices-based, and
cloud-native solutions.
- Establish engineering standards for coding, API design, exception handling, logging, configuration, testing,
security, and observability.
- Conduct architecture reviews, design reviews, code reviews, security reviews, performance reviews, and
production-readiness assessments.
- Implement resiliency patterns such as timeouts, retries, circuit breakers, bulkheads, rate limiting, graceful
degradation, and disaster-recovery readiness.
- Partner with product owners, architects, infrastructure, platform engineering, cybersecurity, database, QA, and
business stakeholders to translate requirements into executable designs.
- Lead technical troubleshooting for complex production issues and guide teams through root-cause analysis,
corrective actions, and preventive improvements
Salary Range: $110,000- $120,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Denta l & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1