Why This Job is Featured on The SaaS Jobs
Senior Site Reliability Engineering remains one of the clearest leverage points in modern SaaS, where uptime, release confidence, and secure access patterns directly shape customer experience. This role sits within a Cloud Platform function focused on a secure, scalable enterprise cloud on Azure, signalling a product that has moved beyond early infrastructure choices into standardising reliability and platform capabilities across teams.
For a SaaS career, the work maps closely to the operational maturity journey many companies go through as usage grows and architectures become more distributed. Ownership across IaC with Terraform, Kubernetes operations, CI/CD design, and observability with Prometheus and Grafana builds a portfolio that transfers across B2B SaaS environments, particularly where platform teams enable multiple product squads. The inclusion of on call also reflects real production responsibility, which is often a differentiator for senior infrastructure paths.
This position fits an engineer who prefers systems thinking over feature delivery and enjoys reducing risk through automation and clear operational guardrails. It will suit someone comfortable collaborating across engineering and business contexts, and who wants to influence reliability practices through design, mentoring, and pragmatic tooling choices.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
We are looking for a skilled and passionate Senior Site Reliability Engineer to join the Cloud Platform team, which empowers DataSnipper’s growth through a secure and scalable enterprise cloud platform. 🚀
As a
Senior Site Reliability Engineer, you won’t just maintain systems you’ll architect robust solutions that push the boundaries of cloud infrastructure, automation, and user management.
This is your chance to own critical components at the intersection of cloud engineering, DevOps, and platform reliability - working hand-in-hand with talented cross-functional teams to accelerate delivery, automate complex pipelines, and implement cutting-edge monitoring and scaling strategies.
Why DataSnipper?
Audit and finance are still massively manual — and we’re changing that.
DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we’re taking things further with our Excel Agent — bringing AI directly into where the work actually happens.
Unlike generic AI tools, we don’t sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence — meaning it doesn’t just generate answers, it does the work, with full traceability.
We’re not just applying AI — we’re redefining how audit gets done. If you want to build something category-defining at scale, this is the place.
What You’ll Own:
- Lead the design and implementation of highly available, resilient, and scalable cloud infrastructure on Azure
- Drive automation by architecting and optimizing CI/CD pipelines that enable seamless, rapid software delivery
- Mentor and coach teams on best practices in reliability, availability, and infrastructure automation
- Build advanced monitoring, alerting, and observability platforms using tools like Prometheus and Grafana to gain deep operational insights
- Manage container orchestration with Kubernetes, ensuring optimal resource use and smooth scaling
- Develop Infrastructure as Code (IaC) templates and automation scripts using Terraform to provision and maintain cloud resources with precision
- Participate in an on-call rotation
What You Bring:
- 5+ years in DevOps, Site Reliability Engineering, or infrastructure engineering roles, with a solid track record of delivering complex, large-scale cloud solutions
- Deep hands-on experience with cloud platforms—Azure expertise preferred, but experience with AWS or GCP is valuable
- Mastery of CI/CD tools and pipelines, ideally with Azure DevOps or equivalents, driving automation and reliability
- Practical knowledge of container technologies like Docker and Kubernetes, with a keen understanding of cloud-native architectures
- Strong problem-solving skills to debug and troubleshoot intricate issues across cloud infrastructure, deployment pipelines, and application environments
- Proficiency in modern object-oriented programming languages and AI-assisted development tools such as GitHub Copilot or Cursor
- Collaborative mindset with excellent communication skills, able to bridge technical and business domains effectively.
What we offer:
- Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact
- Equity (Stock Appreciation Rights) to share the company's success and growth
- Excellent salary package, competitive for top tech talent
- Pension plan with a 6% contribution on top of your base salary
- 28 vacation days per year (full-time) to support your work-life balance
- Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office
- Daily, freshly prepared lunches by our in-house chef to keep you energized
- NS business card for easy commuting to the office
- Access to continuous learning and development initiatives to grow your skills
- Engage with a vibrant international team spread across five global offices
- Company-wide events like DataSnipper GO where global teams come together
- Access to OpenUp, a mental health and wellness platform supporting your wellbeing
- Friday drinks and various social activities are designed for team bonding and fun
Recruitment Steps
- Chat with the recruiter - 30 minutes
- Call with the Hiring Manager - 45 minutes
- Online live- troubleshooting - 1 hour
- System design - 1 hour
- Final interview
At DataSnipper, your engineering expertise will directly influence the future of audit automation while advancing your career in a vibrant and fast-moving environment. If you thrive on technical complexity and want to make an impact, come build the future with us.🚀
