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Backend / Platform Developer Consultant (Temporal & Kubernetes)

Bitovi · Remote · Anywhere in the World · posted today (2026-10-29)

Full-TimeRemoteExperience 1-3 yrsDevOps & Cloud

Skills: TypeScript, JavaScript, Python, Kubernetes, Java, Kafka, AWS, Swift

Apply on Bitovi's siteCheck your resume match on CampusPe

Job description

Headquarters: United States URL: https://bitovi.com 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 for making delivery more collaborative, validation-driven, and swift, we want to work with you! Compensation: $120,000 to $190,000 annually, depending on experience, plus annual bonus opportunity. PLEASE NOTE: At this time, we are only considering candidates located in and authorized to work in the United States. WHO YOU ARE You'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 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 part

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