Backend Engineer

About Incode

Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.

The Impact You’ll Make

We are seeking a highly skilled Backend Engineer to join our team of backend and DevOps experts. In this role, you will design and implement scalable, resilient backend services that power products used by millions of users. You'll tackle complex engineering challenges, from designing robust APIs and data migrations to building fraud detection systems, while ensuring performance, stability, and maintainability.

What You’ll Own & Drive

• Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design.
• Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring.
• Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices.
• Complex Problem-Solving – Tackle challenging engineering problems such as designing large-scale graph-based systems, managing large-scale data migrations, and optimizing system performance.
• Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks.
• Cross-Team Collaboration – Work closely with DevOps, ML engineers, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Collaborate with ML teams to bring fraud detection models into production. Align engineering solutions with business needs and operational goals.

The Qualities That Set You Apart

• Technical Mastery – Deep knowledge of Java/Kotlin and the Spring framework ecosystem, with proven expertise in backend architectures.
• Database Expertise – Strong understanding of PostgreSQL, MongoDB, and Redis, with the ability to design schemas, optimize queries, and ensure data consistency. Hands-on experience with graph databases (e.g. Neo4j, Memgraph, Amazon Neptune) and columnar databases (e.g. ClickHouse, Apache Cassandra).
• API Design Proficiency – Experience in designing, building, and maintaining REST APIs with a focus on clarity, scalability, and long-term maintainability.
• Analytical Mindset – Skilled at breaking down complex systems and applying logical, systematic approaches to engineering problems.
• Quality-Driven Approach – Commitment to writing high-quality, maintainable code with comprehensive test coverage.
• Adaptability & Growth – Thrives in dynamic, fast-paced environments. Willing to take ownership of difficult problems and continuously grow technical expertise.
• Collaborative Spirit – Strong communication and teamwork skills, enabling seamless collaboration across engineering, ML, and DevOps teams.

Your Background

• 5+ years of professional software development experience
• Proficiency in Java/Kotlin and the Spring framework ecosystem
• Experience with observability tools (logging, monitoring, tracing)
• Solid understanding of PostgreSQL, MongoDB, and Redis
• Hands-on experience in domain modeling and REST API design
• Track record of delivering scalable and maintainable systems

Nice to have:

• Experience with AWS cloud services
• Hands-on work with Kubernetes for orchestration
• Familiarity with Kafka for messaging and event-driven architectures
• Exposure to machine learning–centric systems
• Experience with graph databases (e.g. Neo4j, Memgraph, Amazon Neptune) or columnar databases (e.g. ClickHouse, Apache Cassandra)

Why Incode?

• Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
• Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
• Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
• Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
• Global Impact – Every program you launch will reverberate across industries and continents.

Ready to ignite the future of trust?

Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.