> Markdown version of [/jobs/ext/523675-backend-software-engineer](https://www.wearedevelopers.com/jobs/ext/523675-backend-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BACKEND SOFTWARE ENGINEER - **Company:** Svitla Systems Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Code Review, Data Stores, Cursor (Graphical User Interface Elements), Distributed Systems, Java Virtual Machine (JVM), NoSQL, Prometheus, Datadog, GitHub Copilot, Large Language Models, Spring-boot, Backend, Kotlin, Containerization, Kubernetes, Apache Kafka, Codebase, Graphql, Restful APIs, Spring Batch, Docker - **Published:** June 4, 2026 - **Apply:** https://arc.dev/remote-jobs/j/svitla-systems-inc-backend-software-engineer-ouat8zv626 ## About the Role * 3+ years of experience in backend engineering in Java (primary) or Kotlin. * Experience working in Java, while also being comfortable working in Kotlin environments or codebases. * Production experience with Spring Boot and Spring Batch (or equivalent JVM batch frameworks). * Strong understanding of REST API design and implementation. * Hands-on experience building or consuming GraphQL APIs (federated graphs a plus). * Knowledge of LLM-based coding assistants as part of your day-to-day workflow, including understanding when to trust output and when to push back (Cursor, GitHub Copilot Claude, or similar). You should have demonstrated the ability to speak credibly and practically about the use of LLM-based coding assistants within real-world engineering workflows, including how AI tools are leveraged to improve productivity, accelerate development, validate outputs, and apply engineering judgment rather than simply stating general AI tool usage experience. * Solid understanding of relational and/or NoSQL data stores, async messaging (Kafka or similar), and distributed systems concepts. * Ability to operate with general independence on moderately complex problems and deliver quality work without close supervision. Nice to have * Experience operating services at a large scale (millions+ requests/day). Exposure to GraphQL federation (Apollo Federation or similar). * Familiarity with observability tooling (Datadog, OpenTelemetry, Prometheus). * Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms. ## Description You'll build and maintain scalable backend services that power experiences for hundreds of millions of job seekers and employers globally. It is a hands-on engineering role with a high level of independence; you'll own meaningful pieces of work, make day-to-day technical decisions, and collaborate with product, design, and platform teams to ship features that move the needle. ⓘ View potential timezone restrictions, * Design, build, and maintain backend services using Java/Kotlin, Spring Boot, and Spring Batch, with a focus on reliability and performance at scale. * Develop and evolve GraphQL and REST APIs that serve internal services and consumer-facing products. * Build and tune batch-processing pipelines for data-intensive workflows (ingestion, enrichment, and scheduled jobs). * Leverage LLM-assisted coding tools (e.g., Claude Code, Copilot) to accelerate development, and apply sound judgment to review, validate, and refine AI-generated code. * Analyze tradeoffs across performance, maintainability, and delivery speed; apply judgment within established engineering procedures and patterns. * Participate in code reviews, on-call rotations, and incident response, contributing to service health, observability, and continuous improvement. Partner with product managers, architects, and fellow engineers to scope work, refine requirements, and deliver against team objectives. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Build and Deploy a Fullstack App with Open Source Tooling](https://www.wearedevelopers.com/videos/775-build-and-deploy-a-fullstack-app-with-open-source-tooling) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [What’s the Difference Between Frontend and Backend Development?](https://www.wearedevelopers.com/magazine/240-what-s-the-difference-between-frontend-and-backend-development) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)