Site Reliability Engineer, Datasnipper
+ Equity (Stock Appreciation Rights)
3 days a week in office
Intelligent audit platform
Be an early applicant
Intelligent audit platform
201-500 employees
Be an early applicant
+ Equity (Stock Appreciation Rights)
3 days a week in office
201-500 employees
Company mission
To deliver intelligent automation with effortless data validation.
Role
Who you are
- 2–4 years of experience in a site reliability, DevOps, or cloud infrastructure engineering role
- Hands-on experience with Azure services: Container Apps, Key Vault, Front Door, Terraform
- Proficiency in at least one scripting language (Python, Bash, or similar)
- Experience with containerization (Docker, Kubernetes) and CI/CD tooling (Azure DevOps, GitLab, GitHub Actions)
- Strong understanding of networking, distributed systems, and cloud security fundamentals
- Works independently on defined infrastructure responsibilities and escalates complex issues appropriately
- Experience with monitoring and observability platforms (Grafana, Datadog, or similar)
What the job involves
- We are looking for a skilled and passionate 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
- Monitor, maintain, and improve DataSnipper's cloud infrastructure reliability, availability, and performance
- Respond to incidents, perform root cause analysis, and implement preventative measures to reduce recurrence
- Build and maintain CI/CD pipelines, deployment automation, and infrastructure-as-code solutions
- Collaborate with Engineering teams to embed reliability and observability practices into the development lifecycle
- Manage and optimize cloud infrastructure on AWS (and Azure), including containerized workloads
- Contribute to on-call rotation and incident response processes
- Document operational runbooks, incident postmortems, and infrastructure architecture decisions
- Define and track service-level indicators (SLIs) and service-level objectives (SLOs) for owned services
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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