Senior Site Reliability Engineer, Datasnipper
+ Stock participation plan
3+ days a week in office
Intelligent audit platform
Open for applications
Intelligent audit platform
201-500 employees
Open for applications
+ Stock participation plan
3+ days a week in office
201-500 employees
Company mission
To deliver intelligent automation with effortless data validation.
Role
Who you are
- 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 the job involves
- 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
- 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
Application process
- Chat with the recruiter - 30 minutes
- Call with the Hiring Manager - 45 minutes
- Online live- troubleshooting - 1 hour
- System design - 1 hour
- Final interview
Our take
With data having become a commodity in and of itself, infrastructure must be enforced so as to validate and contextualize it. Datasnipper does just that with its automated data validation platform for auditors.
Repetitive manual work in auditing means decreased efficiency and slower results. Auditors must reconcile data by cross-referencing it with that of older systems, verifying this data with documentation such as invoices, bank statements and previous contracts. Datasnipper’s platform uses intelligent automation that translates these documents directly into Excel spreadsheets, helping auditors make informed decisions at a faster rate.
Initially launched from Bootstrap, Datasnipper has successfully raised to Series B and has had a strong few years since. It doubled its revenue and customer base and reached Unicorn Status, indicating the auditing industry’s embrace of AI as a tool.
On top of this success, it recently announced a collaboration with Microsoft to bring AI agents into audit and finance workflows. The moves goes beyong incremental automation, positioning AI as a digital teammate embedded directly into everyday tools like Excel. With trust and adoption of AI continuing to rise across the sector, this partnership shows just how must of a leading role DataSnipper is playing in shaping the future of audit and finance.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Feb 2024
$100m
SERIES B
Total funding: $100m
Company HQ
Nieuwendammerham, Amsterdam, Netherlands
Leadership
Kai Bakker
(Co-Founder)Previously a Software Engineer at KAS BANK and ixly as well as a Freelance Web Developer.
Maarten Alblas
(Co-Founder)Previously a Software Engineer at Xomnia.
Jonas Ruyter
(Co-Founder)Previously a Senior Account Manager at Benify and an Account Manager at Sixt Rent a Car. They also worked in Marketing and Communication at IBM and was an Interaction Designer at ILUMY.
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