Full Stack Developer (Java / Python / Linux / Production Support)

Responsibilities:

• Translate business requirements into technical designs, APIs, and data models.
• Develop back-end services (Java, Python) and, if applicable, front-end components (React/Angular/Vue).
• Implement REST/GraphQL endpoints, batch and streaming jobs, and integration adapters.
• Write efficient SQL/NoSQL queries; optimize schema, indexing, and data flows (ETL / CDC where needed).
• Automate builds, testing, packaging, and deployments (CI/CD pipelines).
• Create Linux shell/Python scripts for ops tasks, environment automation, and diagnostics.
• Embed security (authN/Z, input validation, secrets management, TLS) and compliance controls.
• Implement unit, integration, contract, and performance tests; enforce quality gates.
• Add observability: structured logs, metrics, traces, health checks, dashboards, alerts.
• Participate in on-call rotation; triage incidents, perform RCA, apply permanent fixes.
• Apply resilience patterns (timeouts, retries, circuit breakers, graceful degradation).
• Manage configuration, feature flags, environment parity, and IaC (where applicable).
• Refactor legacy code and reduce technical debt with measurable impact.
• Produce and maintain technical documentation, runbooks, and architecture decision records.
• Mentor peers; contribute to engineering standards and best practices.
• Collaborate with Product, QA, Security, and Ops to balance scope, risk, and delivery timelines.

Qualifications:

• Strong Java (core, concurrency, REST frameworks) and Python (scripting + services).
• Linux: Automate builds and deployments (CI/CD), write shell/Python operations scripts
• Web services: REST/JSON, API design, versioning, pagination, error semantics.
• Databases: relational (SQL tuning, transactions) plus exposure to NoSQL/cache (e.g., Redis).
• CI/CD tooling (Git, pipelines, artifact management), containerization (Docker; Kubernetes nice).
• Testing frameworks (JUnit/PyTest), API test tools, performance testing (JMeter/Locust).
• Observability stack (Prometheus/Grafana/ELK/OpenTelemetry or equivalents).
• Production support discipline: incident management, SLA/SLO mindset, RCA.

Must-to-Have Skills:

• Strong Java (core, concurrency, REST frameworks) and Python (scripting + services).
• Linux: Automate builds and deployments (CI/CD), write shell/Python operations scripts.
• Web services: REST/JSON, API design, versioning, pagination, error semantics.
• Databases: relational (SQL tuning, transactions) plus exposure to NoSQL/cache (e.g., Redis).
• CI/CD tooling (Git, pipelines, artifact management), containerization (Docker; Kubernetes nice).
• Testing frameworks (JUnit/PyTest), API test tools, performance testing (JMeter/Locust).
• Observability stack (Prometheus/Grafana/ELK/OpenTelemetry or equivalents).
• Production support discipline: incident management, SLA/SLO mindset, RCA.

Good To Have:

• Message/stream platforms (Kafka, MQ).
• Infrastructure as Code (Terraform/Ansible).
• Cloud platform exposure (AWS/Azure/GCP) including managed data services
• Front-end framework experience (React/Angular/Vue) and TypeScript.
• Experience with feature flagging, canary or blue/green deployments.
• Knowledge of cost optimization and capacity planning.

Soft Skills:

• Ownership end to end.
• Data-driven decision making.
• Bias for automation and simplification.
• Proactive risk identification.
• Clear, timely communication.

Job Types: Full-time, Permanent

Pay: Up to ₹4,200,000.00 per year

Work Location: In person