The Senior Backend Engineer Java Scala will be responsible for the full lifecycle of backend services: from design and development through production reliability. In an era where AI can generate code, we value engineers who think critically, anticipate problems, and drive systems forward.
Responsibilities:
- Own features from design -> development -> testing -> deployment -> production support
- Take accountability for the reliability and performance of your services in production
- Drive technical decisions without waiting to be told what to do
- Design scalable, resilient distributed systems handling millions of daily transactions
- Make pragmatic trade-off decisions (consistency vs. availability, complexity vs. speed)
- Produce clear technical design documents and lead design reviews
- Evaluate build vs. buy decisions with data
- Build high-throughput, low-latency microservices
- Write clean, maintainable code, but more importantly, know when and what to build
- Write meaningful unit, integration, and contract tests, not just for coverage metrics
- Own E2E test strategy for your services
- Build confidence in deployments through automated validation
- Datadog – build dashboards, set meaningful alerts, track SLOs, analyze APM traces
- Splunk – log analysis, search queries, correlation across services for incident investigation
- *Analyze production incidents: read logs, trace requests, identify root cause under pressure
- Think about failure modes before they happen (circuit breakers, retries, fallbacks, graceful degradation)
- Participate in on-call rotations and drive blameless post-mortems
- Proactively identify capacity risks and performance bottlenecks
- Identify risks, tech debt, and performance bottlenecks before they become incidents
- Propose and drive improvements – don’t wait for a ticket
Requirements
- Understand distributed tracing, structured logging, and metric-driven decision making
SRE Mindset
- Strong proficiency in Java and/or Scala
- Hands-on with AWS services (ECS/EKS, Lambda, S3, SQS, CloudWatch, IAM)
- Understand networking, security, and cost implications of architectural choices
- Comfortable with Infrastructure as Code (Terraform/CloudFormation)
- Kafka – design event-driven architectures, manage topics, handle consumer lag and rebalancing
- Redis – caching strategies, pub/sub, cluster management
- MongoDB/DocumentDB – schema design, indexing, query optimization, aggregation pipelines
Nice to Have
- Experience with circuit breaker patterns (Hystrix, Resilience4j)
- Performance tuning at scale (JVM, GC, thread pools, connection pools)
- Experience with CI/CD pipelines and deployment strategies (blue-green, canary)
- Contributions to internal tooling or developer experience improvements
- Experience leading technical initiatives across multiple teams
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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