Senior Backend Engineer (JavaPython, 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

Required Experience:

Manager