About Staffbase

We inspire people to achieve great things together. Our mission is t o help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels – intranet, employee app and email solutions – create engaging experiences that connect and empower employees.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. Paul, our diverse team of 750+ employees supports 2,000+ customers – reaching over 16.4 million employees – in transforming their employee experience.

We are proud to be a Unicorn company – privately valued at over $1 billion – demonstrating strong growth, innovation, and lasting impact in our industry.
Together, we’re shaping the future of workplace communication.

We’re looking for a Senior Backend Engineer to join us and play a key role in designing and building these systems, shaping technical direction, and raising the bar on how analytics are built and operated at Staffbase.

Our environment

• Working with skilled and similar-minded professionals in a team that values diversity and inclusivity
• We aim to create a flexible and agile work environment that promotes the well-being and work-life balance of our employees
• We believe that team events during working hours play a vital role in building an exceptionally effective team, and we encourage them
• We are enthusiastic about technology and committed to using it to improve the world
• We follow the "You build it, you run it" approach and take pride in it
  

The Team

We are a backend-focused product team at Staffbase building customer-facing analytics that give customers real visibility into how their content is used. Our work helps customers understand user activity, engagement, and interactions across the platform - turning raw events into insights they can actually act on.

The team owns the full analytics stack, from event ingestion and data modeling to APIs and services that power dashboards and reporting. We work closely with product, frontend, data, and platform teams to ensure analytics are accurate, scalable, and trustworthy.

What you’ll be doing

Backend & Platform Engineering

• Design, develop, and operate scalable, reliable backend services
• Build APIs and services that integrate with internal systems and external platforms
• Take responsibility for production systems, from development to monitoring and operations

Exploring AI-enabled Systems

• Work with emerging AI/LLM-based components as part of broader backend systems
• Help integrate model-based services into existing architectures in a pragmatic way
• Contribute to early experimentation: validating ideas, learning what works, and hardening successful prototypes for production
• Collaborate with ML and Data colleagues to bring AI-driven features into real products

Engineering & Infrastructure

• Define and implement observability standards (logging, metrics, tracing)
• Ensure systems are secure, performant, and cost-aware
• Work with cloud infrastructure and containerized environments to support reliable deployments

Collaboration & Leadership

• Act as a senior engineering partner across multiple teams, not just within your immediate squad
• Work closely with product, design, data, ML, and platform teams to shape solutions end to end
• Drive technical alignment across eteams by influencing architecture, APIs, and shared standards
• Translate loosely defined problems into concrete technical plans and guide teams through execution
• Lead by example in code quality, system design, and operational ownership
• Participate actively in technical strategy discussions and help steer longer-term platform direction
• Mentor engineers, sharing context, raising engineering standards, and reducing siloed knowledge

What you need to be successful

• 6+ years of professional experience in backend software development
• Strong proficiency in Golang and preferably experience with Java/Kotlin
• Solid experience with cloud platforms (AWS, GCP, or Azure)
• Real-time OLAP experience (ClickHouse, Apache Doris, StarRocks etc.)
• Hands-on experience with Docker and Kubernetes
• A pragmatic mindset: you care about maintainability, reliability, and shipping

Nice to have

• Exposure to AI/LLM-based systems or data-driven products
• Basic understanding of concepts like retrieval-augmented generation (RAG) or model integration
• Experience with event-driven architectures and messaging systems (Kafka, NATS, etc.)
• Curiosity and motivation to learn new technologies as they become relevant

What you'll get

• Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
• Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
• Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
• Support-we’re offering a company pension scheme
• Volunteers Day- you’ll get one day off per year for supporting a social project