Note: The job is a remote job and is open to candidates in USA. Bitovi is looking for a Backend / Platform Developer Consultant to join their team as they transform technology delivery. The role involves building durable systems, leading modernization efforts, and consulting with clients to create outcome-driven applications and platforms.
Responsibilities
- Build durable systems. Design and implement Java services, Temporal workflows, and Kafka-based event pipelines, and help clients adopt durable execution and event streaming the right way — from first workflow to production scale
- Lead modernization efforts. Plan and execute large-scale modernization efforts — moving workflows, services, and data between platforms, clusters, and clouds — with safety, observability, and minimal disruption as first-class requirements
- Own the platform. Build and operate Kubernetes-native infrastructure and CI/CD on AWS so application teams can ship safely and quickly. Treat reliability, observability, and repeatability as part of the deliverable, not an afterthought
- Consult and manage. Consult with clients to build outcome-driven applications and platforms, guiding them through the process, identifying potential problems and unknowns, and tackling challenges
- Travel. This is a remote, full-time position that requires travel. We travel an average of 3–5 days every quarter, and we'll always do our best to work with your schedule
- Teach. We'll discuss opportunities for you to present at conferences, attend and give training, plan and run meetups or local groups, and create various kinds of content in your expertise
Skills
- Strong working knowledge of Java and the JVM ecosystem (Spring Boot or similar); experience with additional backend languages (Go, Python, TypeScript/JavaScript, C#, etc.) is a plus
- Hands-on experience with a durable execution/workflow engine — Temporal preferred (Apache Airflow, Prefect, or similar also relevant) — including modeling workflows and activities, handling retries and timeouts, and reasoning about idempotency and failure modes
- Experience designing and operating Kafka-based event streaming systems: topic and partition design, consumer groups, schema management, and reasoning about ordering, delivery guarantees, and consumer lag
- Experience designing and building GraphQL APIs — schema design, resolvers, and performance concerns (N+1, caching, pagination); federation experience a plus
- Deep, hands-on AWS experience: architecting, deploying, and operating production systems (EKS, networking, IAM, messaging, and data services)
- Solid Kubernetes experience: deploying, operating, and debugging production workloads
- A systems engineering mindset: understanding of complex scaling issues, concurrency, backpressure, caching strategies, and failure modes across distributed systems
- Experience planning and executing migrations — application replatforming, workflow engine migrations, data/schema migrations, or moving workloads between environments with minimal downtime
- A thorough understanding of CI/CD pipelines and GitOps-style delivery
- Experience with observability in practice — logging, metrics, and tracing (OpenTelemetry a plus)
- Experience building modern microservice-based or serverless applications
- Database schema design and development expertise
- Running Temporal in production — self-hosted on Kubernetes and/or Temporal Cloud
- Workflow versioning and patching, safe deployments, and long-running workflow migrations
- Worker deployment and tuning (pollers, task queues, concurrency/slot configuration)
- Namespace management, mTLS (SPIFFE/SPIRE or private CA), and capacity/scaling concerns (e.g. APS/TRU on Temporal Cloud)
- Operating Kafka in production (MSK, Confluent, or self-managed on Kubernetes)
- Kafka Connect, Kafka Streams, and schema registry workflows (Avro/Protobuf)
- Migrating between clusters or providers, and integrating Kafka with downstream analytical stores
- Experience with different techniques for processing large datasets, such as Lambda and Kappa architectures
- Building or operating an internal developer platform (IDP) — self-service, paved-path infrastructure for application teams
- GitOps with ArgoCD (or Flux) and a low- or zero-manual-apply delivery model
- Infrastructure as code: Terraform/OpenTofu, and provisioning AWS resources via Crossplane, ACK, or similar
- Writing Kubernetes controllers/operators (controller-runtime, kubebuilder) and working with CRDs
- Helm chart authoring and distribution (including OCI/registry-based)
- Secrets management (External Secrets Operator, etc.), autoscaling (Karpenter, KEDA), and service mesh concepts (Istio, SPIFFE/SPIRE)
- EKS or comparable managed Kubernetes at scale
- Interest in working across multiple backend languages
- Additional queueing and messaging technologies (AWS SQS/SNS, RabbitMQ)
- API design across paradigms (GraphQL, REST, gRPC)
- AuthN/AuthZ and related technologies (sessions, API tokens, JWTs)
- Automated testing across the stack (unit, integration, performance/benchmarking)
Benefits
- Competitive salary and annual bonus opportunity
- Completely remote work with flexible hours
- 401(k) matching
- 4 weeks of paid time off in addition to 8 paid holidays
- Health, dental, and vision insurance offerings
- Paid maternity and paternity leave
- STD, LTD, and Life Insurance coverage
Company Overview