Engineering Manager | Mid-Senior | Infra
Job Description
- A curious mind and excitement about GenAI and future AI infrastructure challenges.
- Lead and grow a team of SREs, fostering ownership, learning, and psychological safety.
- Drive the strategy for improving the availability, performance, and efficiency of services.
- Collaborate closely with product, infrastructure, and security teams.
- Introduce tools, automation, and internal platforms to reduce operational toil.
- Champion best practices in operational excellence, including SLOs, error budgets, incident reviews.
- Oversee response and follow-up of major incidents, ensuring robust root cause analysis.
- Ensure team roadmaps are clear, aligned with business objectives, and delivered with high quality.
- Foster an environment where engineers are challenged, supported, and provided opportunities to grow.
- 3+ years of engineering management experience, ideally leading SRE, platform, or infrastructure teams.
- Solid understanding of system design, distributed systems, and networking fundamentals.
- Deep familiarity with SRE concepts such as SLIs/SLOs, observability, incident response, and chaos engineering.
- Proven ability to drive initiatives from concept through execution in an agile environment.
- Strong written and verbal communication skills, comfortable aligning stakeholders.
- Demonstrated success in hiring, developing, and retaining strong engineering talent.
- Experience establishing and improving engineering processes.
- Professional growth: internal and external events, online training, conferences, books.
- Health benefits: private health insurance, online and on-site workouts, consultations.
- Team spirit: team buildings and parties with games, shows, tastings, food coupons, gifts.
- More free time: additional vacation days will be added to your calendar.
- Additional paid leave: additional days are covered by us in cases of illness or special occasions.
- Flexibility: flexible working time arrangement.
Join the AI revolution by contributing to our team's mission - helping businesses efficiently deploy AI at scale. With us, you'll be building distributed systems, designing reliable and adaptive solutions, and writing code that shapes the future of how AI is used.
Responsibilities
- People Leadership: Lead and grow a team of SREs, fostering a culture of ownership, learning and psychological safety;
- Reliability Strategy: Drive the strategy for improving the availability, performance and efficiency of services to power AI-driven product in a fast-paced startup environment.;
- Cross-team collaboration: Collaborate closely with product, infrastructure, and security teams;
- Enablement & Tooling: Introduce tools, automation and internal platforms that reduce operational toil and enhance engineer productivity;
- Process Improvement: Champion best practices in operational excellence, including SLOs, error budgets, incident reviews and deployment planning;
- Incident Management: Oversee response and follow-up of major incidents, ensuring robust root cause analysis and corrective actions;
- Execution Ownership: Ensure team roadmaps are clear, aligned with business objectives, and delivered with high quality and predictability;
- Mentorship & Growth: Foster an environment where engineers are challenged, supported, and provided opportunities to grow in their careers.
Core Requirements
- Experience: 3+ years of engineering management experience, ideally leading SRE, platform, or infrastructure teams;
- Technical Depth: Solid understanding of system design, distributed systems, and networking fundamentals;
- Operational Excellence: Deep familiarity with SRE concepts such as SLIs/SLOs, observability, incident response, and chaos engineering;
- Execution Leadership: Proven ability to drive initiatives from concept through execution in an agile environment;
- Communication: Strong written and verbal communication skills, comfortable aligning stakeholders across technical and non-technical domains;
- Team Development: Demonstrated success in hiring, developing, and retaining strong engineering talent; Process-Driven: Experience establishing and improving engineering processes.
Bonus Point For
- A curious mind and excitement about GenAI and future AI infrastructure challenges.
Salary Ranges
- Gross salary is 6700 - 8600 EUR
What we offer
• Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.
• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.
• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.
• More free time. Stay with us and additional vacation days will be added to your calendar.
• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.
• Flexibility. Flexible working time arrangement.
View our guidelines for AI usage during hiring process: AI guidelines
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
