company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‐first culture has earned us multiple Best Place to Work awards.
We are looking for a Backend Engineer to design and maintain scalable backend services powering experiences for hundreds of millions of job seekers and employers globally. You will build REST and Graph QL APIs, develop batch processing pipelines, and work across Java, Kotlin, Spring Boot, and Kafka in a distributed, high-throughput environment. The role expects active use of AI coding assistants — including Cursor, Claude Code, or Git Hub Copilot — as a core part of the daily engineering workflow.
Design, build, and maintain scalable backend services using Java, Kotlin, Spring Boot, and Spring Batch, with a strong focus on reliability, performance, and maintainability
Develop and evolve REST and Graph QL APIs that support both internal services and customer‐facing products
Build, optimize, and maintain batch processing pipelines for data‐intensive workflows, including ingestion, enrichment, and scheduled processing jobs
Leverage LLM‐powered coding assistants to accelerate development while applying engineering judgment to review, validate, and refine AI‐generated code
Evaluate technical tradeoffs across performance, scalability, maintainability, and delivery speed within established engineering standards and practices
Collaborate with Product Managers, Architects, and fellow Engineers to define requirements, estimate work, and deliver high‐quality solutions
Contribute to system reliability, observability, and operational excellence across backend services
3+ years of professional backend engineering experience using Java and Kotlin
~ Hands‐on production experience with Spring Boot and Spring Batch or equivalent JVM‐based batch processing frameworks
~ Experience building and/or consuming Graph QL APIs
~ Strong experience using LLM‐based coding assistants as part of day‐to‐day software development workflows
~ Demonstrated ability to discuss practical, real‐world usage of AI coding tools, including accelerating development workflows, improving productivity and code quality, validating AI‐generated outputs, and applying engineering judgment to determine when to trust, modify, or reject generated code
~ Solid understanding of relational and/or No SQL databases
~ Experience working with asynchronous messaging systems such as Kafka or similar technologies
~ Ability to work independently, take ownership of assigned initiatives, and deliver high‐quality solutions with minimal supervision
Exposure to Graph QL Federation frameworks such as Apollo Federation
Experience with observability and monitoring platforms such as Datadog, Open Telemetry, or Prometheus
Familiarity with CI/CD pipelines and modern software delivery practices
Experience with containerization technologies such as Docker and Kubernetes
Exposure to cloud‐based infrastructure and platforms
Exciting projects: Join projects with modern solutions development and top‐tier clients, including Fortune 500 enterprises and leading product brands
Flextime: Tailor your schedule for an optimal work‐life balance, with options for remote work and versátil hours
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