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Bitovi

Backend / Platform Developer Consultant (Temporal & Kubernetes)

Bitovi

4h ago

0DevUnited Stateshimalayas
Backend-DevelopmentPlatform-EngineeringCloud-EngineerDevOps-SRESystems-EngineeringBackend-Platform-DeveloperBackend-Platform-ArchitectBackend-Platform-EngineerKubernetes-Platform-EngineerBackend-ArchitectSenior

Job Description

PLEASE NOTE: At this time, we are only considering candidates located in and authorized to work in the United States.JOIN OUR TEAM!Bitovi is looking for a Backend / Platform Developer Consultant to join us as we transform technology delivery. We build and operate 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 to run it all reliably. If you want to build exceptional systems, take orchestration, systems engineering, and infrastructure seriously, and have ideas on how to make delivery more collaborative, validation-driven, and swift, we want to work with you!WHO YOU AREYou're experienced building and running applications at the enterprise level, and you're comfortable owning both the code and the infrastructure it runs on. You think like a systems engineer — reasoning about the whole platform, from JVM services and event streams to the clusters and cloud infrastructure underneath them. You thrive when given opportunities to deliver real-world platforms as an integral team member, including large-scale migrations, and you have the expertise to interface and communicate confidently with stakeholders.You'll excel in this role at Bitovi if you have: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 plusHands-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 modesExperience designing and operating Kafka-based event streaming systems: topic and partition design, consumer groups, schema management, and reasoning about ordering, delivery guarantees, and consumer lagExperience designing and building GraphQL APIs — schema design, resolvers, and performance concerns (N+1, caching, pagination); federation experience a plusDeep, 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 workloadsA systems engineering mindset: understanding of complex scaling issues, concurrency, backpressure, caching strategies, and failure modes across distributed systemsExperience planning and executing migrations — application replatforming, workflow engine migrations, data/schema migrations, or moving workloads between environments with minimal downtimeA thorough understanding of CI/CD pipelines and GitOps-style deliveryExperience with observability in practice — logging, metrics, and tracing (OpenTelemetry a plus)Experience building modern microservice-based or serverless applicationsDatabase schema design and development expertiseOther skills we valueTemporal depthRunning Temporal in production — self-hosted on Kubernetes and/or Temporal CloudWorkflow versioning and patching, safe deployments, and long-running workflow migrationsWorker 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 CloudKafka & event streaming depthOperating 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 storesExperience with different techniques for processing large datasets, such as Lambda and Kappa architecturesPlatform / DevOps depthBuilding or operating an internal developer platform (IDP) — self-service, paved-path infrastructure for application teamsGitOps with ArgoCD (or Flux) and a low- or zero-manual-apply delivery modelInfrastructure as code: Terraform/OpenTofu, and provisioning AWS resources via Crossplane, ACK, or similarWriting 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 scaleGeneralInterest in working across multiple backend languagesAdditional 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)WHO WE AREBitovi partners with companies to build outcome-focused apps and platforms. Our collaborative approach is driven by validation to deliver the swiftest route to the most valuable solution.We design and build high-profile applications and the i