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Our engineering team solves one of the most important problems of the modern economy - connecting great people with great jobs. We believe this problem can only be solved with technology, and we developed a software platform that has supported over 100M job seekers to date (with 5M joining every month). We are looking for a backend engineer to help us build the next chapter of that vision. We designed our R&D structure based on the empowered product teams model. It means our teams are responsible for business outcomes and have autonomy in solving problems in the way that “customers love yet work for the business”. Our technology platform is a SaaS product hosted on AWS. Our system is composed of hundreds of independent services orchestrated by Kubernetes. We build most of our services in Java, Javascript (Node.js), and Python. We have a strong CI/CD culture, and we currently run 40 production deployments per engineer per month.
Job Responsibility:
Contribute to a full life-cycle of the product (including problem discovery, prototyping, design, implementation, and measuring adoption)
Build services with Java / Node.js (Express, Nest.js) on top of Kubernetes/AWS infrastructure
Build developer-friendly RESTful APIs
Design and connect to our persistence layer (PostgreSQL, ElasticSearch)
Collaborate with other teams
Requirements:
Proven experience in designing, developing, and operating distributed systems
Experience in supporting end-to-end product lifecycle (from product discovery, solutioning, system design, implementation, production rollout, and optimization)
While not strictly required, we see that most of our Senior Engineers have 5+ years of professional experience
Deep command of the Java programming language
Hands-on experience with TDD, clean code, clean architecture principles, and effective code reviews
Strong domain modeling skills, including refactoring existing domains
Good understanding of persistence layer and RESTful API design
Solid understanding of distributed systems design (design for failure, eventual consistency, asynchronous communication, circuit breaking, timeouts, etc.)
Strong command of the English language, both written and verbal
Nice to have:
Experience with CI/CD pipelines and frequent deployments
Familiarity with AWS/GCP and Kubernetes/Docker
Proven ability to accelerate development using AI coding assistants
Hands-on experience building with modern LLM architectures such as Retrieval-Augmented Generation (RAG)