Software Engineer - Reliability; d​/f​/m

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our team of 1,500 Personios is building user-friendly products that delight our 15,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

Join us to shape the future of software in the underserved and high-impact HR technology industry. Your work will have a direct and tangible impact on customers, offering ownership and the chance to make a meaningful difference. As we prepare for significant growth, you'll face exciting challenges and have the opportunity to influence our path toward becoming one of the world's leading tech companies.

Personio is looking for an experienced staff software engineer to join our central Reliability team. This is a software engineering role where you'll design and build the platforms, libraries and automated systems that engineering teams across Personio rely on to run their services

You’ll set the technical and strategic direction for reliability across Personio's engineering organization, ensuring systems stay simple, scalable and available. Day to day, this involves guiding teams, sharing cloud platform expertise and building the tools, guardrails and reporting that surface failure modes early. You’ll lead as much by doing as by advising.

• Design and build the platforms and automated tooling, including AI-assisted agents, that enable engineering teams to scale their infrastructure on demand and embed reliability practices directly into how they work
• Engage in and improve the full service lifecycle from initial design and inception through to deployment, operation, continuous improvement and conducting launch assessments
• Operating critical services, leading incident response for the hardest problems, and turning what you learn into standards and tooling for the wider organization
• Design and implement observability stacks and dashboards (e.g. Datadog, Cloud Watch) to improve operational insight across logs, metrics, traces and alerts
• Establish resilience strategies to proactively uncover weaknesses and validate recovery strategies
• Collaborate with product and engineering teams to define SLOs and error budgets to ensure services are reliable, scalable and observable
• Identify and eliminate toil across engineering, building the automation, playbooks and runbooks that reduce MTTR and become the patterns other teams adopt
• Partner on security posture and compliance metric reviews related to operational reliability
• Grow reliability expertise across engineering

• Bachelor’s degree in Computer Science, a related field or equivalent practical experience
• 8+ years of experience with SaaS software development in distributed systems using languages such as Kotlin/Java, Typescript, Python and technologies like IaC, Docker and Kubernetes
• 4+ years’ experience designing, operating and analyzing large-scale troubleshooting distributed systems
• Good knowledge of modern application/infrastructure monitoring concepts (Datadog experience advantageous)
• Experience reducing on-call toil for engineers by automating repetitive operational work, tuning alerts to improve signal-to-noise or building self-healing mechanisms
• Systematic problem solving and debugging skills, coupled with a strong sense of ownership
• Track record of driving technical initiatives across multiple teams and influencing engineering direction
• Excellent written and documentation skills

Collaborative team player, able to communicate effectively across disciplines.

• Experience with Kafka/Debezium…