[Hiring] Senior Software Engineer @apheris AI GmbH

Role Description

We are looking for a hands-on Senior Software Engineer to build and evolve the backend systems that power Apheris’ federated computing platform.

• Design, build, and maintain backend services and APIs, primarily in Golang, with Python used where it best fits the problem domain.
• Develop, deploy, and operate software across both cloud and on-premise environments, leveraging Docker and Kubernetes as core platform technologies.
• Collaborate closely with cross-functional teams across engineering, quality, and product to deliver cohesive, end-to-end product functionality.
• Take end-to-end ownership of features, from technical design and implementation through deployment, monitoring, and ongoing operation in production.
• Contribute to system design and architectural discussions, helping evolve backend and platform components as the product and customer base scale.
• Write high-quality, maintainable, and well-tested code, and actively participate in code reviews to uphold strong engineering standards.
• Improve reliability, performance, security, and observability of services running in distributed and resource-intensive environments.
• Debug and resolve issues across application code, containerized workloads, and infrastructure layers in both customer and internal environments.
• Continuously look for ways to improve development efficiency and software quality by adopting better tooling, workflows, and emerging technologies - including experimenting with modern developer tools and AI-assisted workflows where they add real value.
• Stay curious and proactive about learning new approaches, technologies, and best practices, and apply them pragmatically in a fast-moving startup environment.

Qualifications

• A degree in computer science, engineering, or equivalent hands-on experience in professional software engineering roles.
• 4+ years of professional experience as a software engineer, with a strong focus on backend systems.
• Strong programming skills in Golang, with practical experience using Python where it is the best fit for the problem domain.
• Hands-on experience designing, building, and operating production-grade backend services and APIs.
• Solid experience working with Docker and containerized applications in production environments.
• Practical experience with Kubernetes, including deploying, operating, and debugging cloud-native workloads.
• Experience working with AWS or another major cloud provider, ideally in hybrid environments that include on-premise deployments.
• Strong understanding of software engineering best practices, including testing strategies, code quality, and secure API design, with knowledge of common application security risks and how to mitigate them.
• A strong sense of ownership and accountability for technical outcomes, including reliability and long-term maintainability.
• Comfortable working in a fast-paced, iterative startup environment where priorities evolve and trade-offs are part of daily decision-making.
• Curiosity and willingness to continuously learn and adopt new tools, workflows, and technologies to improve development efficiency and software quality.
• Excellent communication skills and fluency in English (verbal and written).

Requirements

• Experience building or operating distributed systems.
• Experience working on systems with elevated security and privacy requirements.
• Experience supporting customers in production environments, including debugging issues and communicating technical context clearly and pragmatically.
• Experience with CI/CD pipelines and infrastructure-as-code.
• Prior exposure to life sciences, machine learning platforms, or data-intensive products (not required).
• Interest in federated systems, privacy-preserving computation, or secure data collaboration.

Benefits

• Industry-competitive compensation, including early-stage virtual share options.
• Remote-first working – work where you work best, whether from home or a co-working space near you.
• Great suite of benefits, including a wellbeing budget, mental health benefits, a work-from-home budget, a co-working stipend, and a learning and development budget.
• Generous holiday allowance.
• Office Days at our Berlin HQ or a different European location (3x a year).
• A fun, diverse team of mission-driven individuals with a drive to see AI and ML used for good.
• Plenty of room to grow personally and professionally.