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What We'll Bring:
Software Engineer (Backend) – Java Spring Boot | Cloud (AWS/GCP) | Generative AI
Location: [Bengaluru ]
Employment Type: Full-time
Experience Level: [Mid]
Team: Engineering (Backend/Platforms)
About the Role
We’re looking for a strong backend engineer who can design and build high‑scale, secure, cloud-native services using Java (Spring Boot) on AWS or GCP. You’ll own services end‑to‑end—from design and implementation to observability and cost optimization. You’ll also leverage Generative AI responsibly (e.g., code assistants, unit test generation, refactoring suggestions) to accelerate delivery while maintaining quality and security standards.
What You'll Bring:
What You’ll Do
- Design, build, and operate microservices and RESTful/GraphQL APIs in Java (Spring Boot) running on AWS or GCP.
- Architect for scale, resiliency, and cost efficiency using managed cloud services (e.g., EKS/GKE, ECS/Cloud Run, RDS/Cloud SQL, SQS/PubSub, Redis/Memorystore, object storage, etc.).
- Implement secure-by-default services: authn/authz, secrets management, data protection, dependency hygiene, and OWASP best practices.
- Own the full lifecycle: technical design, coding, automated testing, CI/CD, observability (metrics, logs, traces), and on-call/production support.
- Use Generative AI tools (e.g., GitHub Copilot/CodeWhisperer) for boilerplate generation, test scaffolding, code suggestions, and documentation, while reviewing outputs for security and correctness.
- Collaborate cross‑functionally with Product, SRE/Platform, and Data/ML teams; participate in design reviews, RFCs, and sprint ceremonies.
- Drive continuous improvement: performance tuning, cost optimization, reliability engineering, and modernization/refactoring.
Required Qualifications
- 3–6 years of backend engineering experience building production systems.
- Strong in Java 11+ and Spring Boot (Web, Data, Security, Actuator).
- Hands-on with AWS and/or GCP services for compute, networking, storage, messaging, and databases.
- Experience building scalable, distributed systems (load balancing, caching, async messaging, eventual consistency, idempotency).
- Containerization and orchestration: Docker and Kubernetes (EKS/GKE) or serverless (Lambda/Cloud Run).
- CI/CD with tools like GitHub Actions, GitLab CI, Jenkins, or Cloud Build; infrastructure-as-code (Terraform, CloudFormation).
- Proficient with relational databases (PostgreSQL/MySQL) and at least one NoSQL store (DynamoDB/Bigtable/Firestore/Elastic/MongoDB).
- Observability: Prometheus/Grafana, CloudWatch/Stackdriver, OpenTelemetry, or similar.
- Solid grasp of secure coding practices, API security, OAuth2/OIDC, secrets management (e.g., AWS Secrets Manager, HashiCorp Vault).
- Practical use of Generative AI for coding (e.g., code assistants, test generation) with an emphasis on code review, security, and data governance.
- Strong fundamentals: DSA, concurrency, REST/HTTP, networking, and clean architecture; excellent problem solving and communication.
Impact You'll Make:
Preferred / Nice to Have
- Experience with event-driven systems (Kafka/PubSub/Kinesis) and stream processing (Flink/Spark/Beam).
- Performance engineering (profiling, JVM tuning, query optimization).
- Experience with feature flags, blue/green or canary deployments, and progressive delivery.
- Knowledge of cost governance/FinOps on cloud.
- Exposure to MLOps/LLM apps (vector stores, model gateways, prompt engineering) or using AI for code quality gates.
- Security: OWASP ASVS, SAST/DAST, supply chain security (SBOM, Dependabot, Snyk).
- Certifications (optional): AWS Developer/Solutions Architect, GCP Professional Cloud Developer/Architect.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
TransUnion Job Title
Engineer, Software Development