Senior Backend Engineer (Java/Python, AWS Serverless) - Messaging service

Strong Serverless/Event-Driven Architecture background

• Event-driven design patterns (pub/sub, choreography vs. orchestration, event sourcing, CQRS)
• AWS Lambda (function design, cold starts, concurrency, layers, versioning/aliases)
• AWS Step Functions (state machines, Express vs. Standard workflows, error handling/retries)
• Amazon EventBridge (event buses, rules, schema registry) and EventBridge Pipes (source-filter-enrich-target patterns)
• Amazon SNS/SQS (fan-out, dead-letter queues, FIFO queues, visibility timeout tuning, message deduplication)

Data & persistence

• Amazon DynamoDB (single-table design, GSIs/LSs, partition key design, streams, capacity modes)
• Amazon S3 (event notifications, lifecycle policies, versioning, storage classes)
• Idempotency and eventual consistency handling in distributed data flows
• Schema evolution and payload versioning for event contracts

Programming languages and scripting

• Java (Lambda development, Spring Cloud Function for serverless, build tooling with Maven/Gradle)
• Python for Lambda development and automation/tooling scripts
• Infrastructure as Code: Terraform
• Shell/Bash scripting for automation and tooling

Architecture & integration patterns

• Microservices decomposition and bounded contexts
• API design (REST, GraphQL) via API Gateway/AppSync
• Saga pattern for distributed transactions
• Resilience patterns (circuit breaker, retry with backoff, dead-letter handling, poison-pill management)

Security, IAM & compliance

• IAM (least-privilege policies, roles, resource-based policies, permission boundaries)
• Secrets management (AWS Secrets Manager, Parameter Store)
• Encryption at rest/in transit (KMS, S3 SSE, DynamoDB encryption)
• VPC networking basics for Lambda (ENIs, private subnets, endpoints)
• Auditing and logging (CloudTrail, AWS Config)

Tooling, observability & DevOps

• Version control (Git), CI/CD pipelines with GitHub Actions
• Observability: CloudWatch Logs/Metrics/Alarms, X-Ray distributed tracing, structured logging
• Grafana Cloud for dashboards and alerting; Kibana for log search and analysis
• Local development/testing
• Cost-awareness and performance tuning (Lambda memory/timeout sizing, DynamoDB capacity planning)

AI-assisted workflows in DevOps

• Using AI coding assistants (e.g., GitHub Copilot) for code generation, review, and test authoring
• AI-assisted CI/CD: automated PR summaries, code review bots, and pipeline failure triage
• Prompt-driven infrastructure and Terraform scaffolding with guardrails for review
• AI-assisted observability: anomaly detection and log/alert summarization
• Understanding limitations and risks of AI-generated code (security review, hallucination checks, license compliance)

Full DevOps ownership & on-call responsibility

• You build it, you run it: end-to-end ownership of services from design through production operation
• Participation in on-call rotation, including incident response outside business hours
• Incident management: triage, mitigation, escalation paths, and root cause analysis
• Writing and maintaining runbooks/playbooks for known failure modes
• Blameless post-mortems and follow-up action tracking
• SLO/SLA awareness, alert tuning to reduce noise and avoid alert fatigue
• Accountability for the reliability, security, and cost of self-authored code in production

Data quality, testing & governance

• Unit, integration, and contract testing for event-driven flows
• Data validation and schema enforcement (JSON Schema, EventBridge schema registry)
• Dead-letter queue monitoring and reprocessing strategies
• Change management and auditable deployment practices

Soft skills & IT standards

• Structured problem solving, debugging distributed/asynchronous systems
• Stakeholder communication, requirements gathering
• Documentation and knowledge sharing (architecture decision records, runbooks)
• Being a positive, fun team member who contributes to team morale and a healthy team culture

BMW-specific aspects (recommended to know or adapt)

• Understanding BMW IT security & compliance requirements
• Working in regulated environments, auditable and traceable event flows
• Possible familiarity with vehicle event data, connected drive event streams

Frontend development

• AngularJS (components, services, dependency injection, routing)
• BMW Density Design System (UI component library and design tokens)
• HTML5/CSS3 and responsive UI design
• Integration with REST/GraphQL backend APIs
• Basic build tooling (npm, Webpack/Grunt) and browser debugging