Backend / Platform Developer Consultant (Temporal & Kubernetes)

About the Position

We are looking for a Backend / Platform Developer Consultant to build and operate durable, distributed systems for enterprise clients for our partner.

Bitovi - our partner - builds and operates durable, distributed systems for enterprise clients - heavy on Java services, Temporal for workflow orchestration, Kafka for event streaming, and Kubernetes-native platform engineering on AWS.

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 the ability to 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.

Requirements

• Strong working knowledge of Java and the JVM ecosystem (Spring Boot or similar)
• Experience with additional backend languages (Go, Python, TypeScript/JavaScript, C#, etc.)
• Hands-on experience with a durable execution / workflow engine - Temporal preferred (Apache Airflow, Prefect, or similar) - 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 (GraphQL Federation) - schema design, resolvers, and performance concerns (N+1, caching, pagination)
• 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

Nice to Have

• Deep Temporal experience in production - self-hosted on Kubernetes and/or Temporal Cloud; workflow versioning and patching, safe deployments, long-running workflow migrations; worker deployment and tuning (pollers, task queues, concurrency/slot configuration); namespace management, mTLS (SPIFFE/SPIRE or private CA), capacity/scaling (e.g. APS/TRU on Temporal Cloud)
• Deep Kafka experience in production - MSK, Confluent, or self-managed on Kubernetes; Kafka Connect, Kafka Streams, schema registry workflows (Avro/Protobuf); migrating between clusters or providers; integrating Kafka with downstream analytical stores; familiarity with large-dataset processing approaches such as Lambda and Kappa architectures
• Experience building or operating an internal developer platform (IDP) with self-service, paved-path infrastructure
• GitOps delivery with ArgoCD or Flux
• 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 (e.g. External Secrets Operator), autoscaling (Karpenter, KEDA), and service mesh concepts (Istio, SPIFFE/SPIRE)
• Additional queueing and messaging technologies (AWS SQS/SNS, RabbitMQ)
• API design across REST and gRPC alongside GraphQL
• AuthN/AuthZ concepts (sessions, API tokens, JWTs)
• Automated testing across the stack (unit, integration, performance/benchmarking)

We Offer

• 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

About the Company

Bitovi builds and operates durable, distributed systems for enterprise clients - heavy on Java services, Temporal for workflow orchestration, Kafka for event streaming, and Kubernetes-native platform engineering on AWS.