2 months ago
Pune, India or Chennai, IndiaStaff+
Responsibilities
- Define and enforce API-first strategy, OpenAPI contract-first practices, API versioning, and API gateway governance.
- Design and deliver Java Spring Boot microservices using resilient patterns and Spring WebFlux for AI pipeline integrations.
- Integrate enterprise systems, identity services, and third-party providers using Apache Kafka, IBM MQ, Apache Camel, and Spring Integration.
- Expose LLM inference, RAG pipeline, and agentic workflow endpoints as secure enterprise services.
- Implement security controls including mTLS, OAuth2/JWT authorization, Vault secrets management, field-level encryption, and compliance requirements.
- Build distributed tracing, structured logging, metrics, alerting, and load-testing capabilities.
- Collaborate with DevOps and platform teams on CI/CD pipelines, Helm charts, Kubernetes manifests, and OpenShift deployments.
- Set backend integration direction, conduct architectural reviews, and mentor or advise engineers across cross-functional teams.
Requirements
- 10+ years of experience in backend engineering, including expert-level Java and deep hands-on experience with Spring Boot, Spring Cloud, Spring Security, Spring Data, and Spring WebFlux.
- Mastery of API development and governance using FastAPI, Flask, OpenAPI, gRPC, Protocol Buffers, and GraphQL.
- Hands-on enterprise integration experience with Apache Kafka or IBM MQ, Apache Camel or Spring Integration, and related integration patterns.
- In-depth knowledge of OAuth2, OIDC, JWT, mTLS, API key lifecycle management, HashiCorp Vault, SOX, GDPR, and MiFID II.
- Experience with PostgreSQL, Oracle, Spring Data JPA, Hibernate, MongoDB, Redis, and Elasticsearch.
- Strong Docker, OpenShift, Kubernetes, Helm, and CI/CD experience with Harness, Tekton, or Jenkins.
- Production experience with OpenTelemetry, Prometheus, Grafana, Splunk, or ELK for monitoring and incident response.
- Ability to set technical direction, conduct architecture reviews, collaborate with cross-functional stakeholders, and mentor engineers.
- Experience developing Generative AI APIs with FastAPI or Flask and familiarity with LLM inference or RAG endpoints is beneficial.
- Exposure to hexagonal architecture, CQRS, event sourcing, and cloud-native systems is beneficial.
- Master’s degree in Computer Science, Engineering, or a related discipline is preferred.
- Bachelor’s degree or university degree, or equivalent experience, is required.
Benefits
- Full-time position within Citi’s Technology Applications Development organization.
- Citi promotes internal career growth, professional development, mentoring, and opportunities for advancement.
- Equal opportunity employer with reasonable accommodation available for applicants with disabilities.
Tech Stack
AngularApache KafkaDockerElasticsearchFastAPIFlaskGrafanaGraphQLgRPCHarnessHelmJavaJenkinsKubernetesMongoDBOpenShiftPostgreSQLPrometheusRedisSplunkSpring BootTekton
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.