Backend Engineer (Mid-Level)

About the job

Our team focuses on building and supporting government IT web applications that improve internal processes and enhance operational efficiency. By modernizing legacy systems and introducing user-centric solutions, we aim to streamline workflows and enable more effective decision-making.

We believe that well-designed digital systems play a critical role in transforming how public sector organizations operate. As governments continue to digitize and scale their services, our mission is to build reliable, accessible, and scalable applications that support these evolving needs.

You will be part of a cross-functional team working closely with product managers, engineers, designers, and stakeholders to deliver impactful solutions. This role offers the opportunity to design and build systems at scale, improve system performance and reliability, and directly contribute to how digital services are delivered and maintained.

What you’ll do

• Build and maintain event-driven backend services
• Collaborate on domain modeling and service design
• Implement APIs and backend logic using Golang, TypeScript/JavaScript, or Python
• Write automated tests to keep systems reliable and maintainable
• Participate in code reviews, design discussions, and production support
• Join a shared on-call rotation to support backend services in production, with escalation and support from the team

What we’re looking for

• Experience with statically typed languages and building backend services in at least one of the listed languages
• Familiarity with asynchronous or event-driven systems
• Cares about code quality, testing, and long-term maintainability
• Comfortable participating in on-call rotations and handling production issues collaboratively
• Comfortable working in a team that values discussion and feedback

Nice to have

• Experience designing and building scalable APIs (REST, GraphQL)
• Familiarity with microservices or event-driven architectures
• Familiarity with domain-driven design (DDD) concepts
• Experience with database design and optimization (SQL and/or NoSQL)
• Understanding of system performance optimization (caching, concurrency, load handling)
• Experience with automated testing (unit, integration, end-to-end)
• Exposure to observability tools (monitoring, logging, tracing) such as Prometheus or Grafana
• Experience with cloud infrastructure and deployment (e.g. AWS, Google Cloud Platform)
• Familiarity with CI/CD pipelines and DevOps practices
• Understanding of security best practices (authentication, authorization, data protection)
• Interest in system design and product thinking beyond just implementation