Backend / Platform Developer Consultant (Temporal & Kubernetes)
Backend / Platform Developer Consultant (Temporal & Kubernetes)
Posted 7 days ago
SENIORITY
Lead
About the role
- 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
- Other Skills We Value
- Temporal depth
- 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)
- Kafka & event streaming depth
- 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
- Platform / DevOps depth
- 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 CRDsHelm 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
- GeneralInterest 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)
- We Offer
- Competitive salary and annual bonus opportunity
- Completely remote work with flexible hours 401(k) matching4 weeks of paid time off in addition to 8 paid holidays
- Health, dental, and vision insurance offerings
- Paid maternity and paternity leaveSTD, LTD, and Life Insurance coverage
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
