Senior Backend Engineer – Global Marts

Responsibilities

We are representing a confidential delivery technology company in their search for a Senior Backend Engineer to join their retail operations team in Berlin. In this role, you will take end-to-end ownership of production systems that power inventory management, purchasing, warehouse operations, pricing, and fulfillment across global markets.

Your responsibilities will include:

• Designing, building, and operating backend systems that support inventory, purchasing, warehouse operations, pricing, and fulfillment
• Owning technical solutions from problem definition and design through implementation, deployment, monitoring, and production operation
• Working on data-heavy systems where software engineering meets forecasting, optimization, and operational decision-making
• Turning complex and sometimes ambiguous business problems into pragmatic, scalable technical solutions
• Making and influencing architectural decisions, balancing scalability, reliability, development speed, and long-term maintainability
• Collaborating closely with engineers, product managers, data scientists, and operations teams to shape solutions and technical direction
• Improving the reliability, observability, scalability, and operational excellence of the systems you own
• Supporting and raising the engineering standards of the team through technical discussions, code reviews, and knowledge sharing
• Using AI-assisted development tools effectively while applying strong engineering judgment to validate output and improve development velocity

What We're Looking For

Our client is seeking engineers with:

• Strong experience designing, building, and operating production backend systems
• Professional experience with Go, Kotlin, or another modern backend language
• Experience owning services end-to-end, including design, implementation, deployment, monitoring, reliability, and production operations
• Strong knowledge of backend and distributed systems fundamentals, including APIs, databases, asynchronous processing, failure handling, testing, and observability
• Comfort working with data-heavy systems and technologies such as Kafka, Snowflake, or similar streaming and data infrastructure
• Ability to navigate ambiguous problems, break them into actionable steps, make appropriate technical trade-offs, and deliver incrementally
• Ability to influence technical decisions beyond immediate tasks and collaborate effectively with engineers and cross-functional partners
• Clear and concise communication of technical concepts and decisions
• Effective use of AI-assisted development tools while critically evaluating generated solutions and taking full ownership of resulting code
• A proactive approach to identifying opportunities to use AI to improve engineering productivity while understanding where human judgment remains essential

Nice to Have:

• Experience with forecasting, optimization, scheduling, recommendation, or decisioning systems
• Background in grocery, retail, logistics, supply chain, or warehouse technology
• Experience with ERP, vendor management, procurement, or workforce management integrations
• Experience replacing third-party or legacy platforms with internally built systems
• Knowledge of high-throughput event-driven or streaming architectures

Technical Environment: The primary backend languages are Go and Kotlin. The stack also includes Kafka, PostgreSQL, MongoDB, Redis, Snowflake, AWS, Kubernetes, Docker, gRPC, and GitHub Actions. You don't need experience with every technology—our client values strong backend and distributed systems fundamentals and your ability to learn and make sound technical decisions.

How We Work with You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your experience and career goals. If there's a strong match, we will submit your candidacy to our client for consideration. Throughout the process, we serve as your advocate and main point of contact.

Please apply exclusively through Get A Job.ai and do not contact the client directly, as this could jeopardize your candidacy.

This position is based in Berlin. Our client works in distributed teams but may not be able to support fully remote arrangements.

Pay

Compensation details will be discussed during the screening process based on your experience and the client's salary framework.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work with clients who share our commitment to diversity and equal opportunity.