Job Description
Description
About the role:
We’re hiring our first Flow Ops Developer — a senior, hands-on engineer who will own the internal automation and integration ecosystem that connects our business and tech functions. You’ll sit within IT/DevOps but operate as a force multiplier across the entire company: building the plumbing that lets HR, Finance, Marketing, IT, DevOps, and R&D move faster, and putting modern AI tooling directly into the hands of our internal teams.
This is a greenfield, build-it-from-scratch role. You’ll define how automation is done here — the standards, the platforms, the patterns, the cost model. If you like turning messy manual processes into clean, observable, AI-enhanced flows and owning the result end-to-end, this is for you.
You won’t be a cog in someone else’s automation factory. You’ll define the practice. The work has unusually wide blast radius — a single well-built flow can save a department dozens of hours a month — and you’ll see the impact directly because the people benefiting sit a few Slack messages away. You’ll also be on the front lines of how AI actually gets used inside a company, not as a demo but as production tooling people depend on.
Reports to: Head of IT / DevOps
Team: This is the founding role for Flow Ops. You’ll shape what the function becomes and likely grow a small team behind you.
Work model: Flexible — remote, hybrid, or on-site, whichever lets you do your best work
Tools you’ll inherit and shape: Microsoft 365 + Azure as the backbone, plus whichever automation platforms you decide we keep, retire, or adopt
What you’ll do:
Integrate systems across the business. Connect the tools our teams already use — HRIS, finance and accounting systems, CRM, marketing platforms, ticketing, identity, source control, monitoring — into reliable, well-documented flows. Move data and trigger actions across boundaries that today require someone to copy-paste between tabs.
Automate workflows end-to-end. Partner with stakeholders in HR, Finance, Marketing, IT, DevOps, and R&D to identify high-friction processes, design automation for them, ship them, and keep them running. You own the outcome, not just the build.
Drive internal AI enablement. Build and maintain MCP servers, internal AI tools, and AI-powered automations that let employees safely tap into LLMs against our own data and systems. Set the patterns for how AI gets embedded into internal workflows responsibly.
Own the internal tool ecosystem. Evaluate, deploy, and govern automation and integration platforms (Power Automate, Windmill, n8n, Zapier, and similar). Decide what we use, when, and why. Maintain the platforms themselves — upgrades, access, secrets, monitoring.
Run FinOps for internal tools. Track spend across SaaS and automation platforms, find waste, right-size licenses, attribute costs to consuming teams, and report on ROI. Keep the internal stack lean.
Be the go-to person for “can we automate this?” Triage requests, scope work, push back on bad ideas, and educate stakeholders on what’s possible.
What we’re looking for:
5+ years of experience in integration, automation, internal tooling, or platform engineering roles
Hands-on expertise with at least one of: Power Automate, Windmill, n8n, Zapier — and the curiosity and judgment to pick up the others and know which to reach for when
Strong understanding of TypeScript/JavaScript and PowerShell — you read the code, understand its structure and logic
Deep knowledge of the Microsoft ecosystem: Microsoft 365, Entra ID, Azure (Functions, Logic Apps, Key Vault, Storage, Monitor), Graph API, SharePoint, Teams
API fluency: REST, webhooks, OAuth/OIDC, rate limiting, retries, idempotency — you’ve debugged auth flows at 2am and know where to look
Experience building or integrating with LLM-based tooling — MCP, function calling, prompt orchestration, RAG patterns, or equivalent
FinOps awareness: you’ve owned or contributed to a SaaS/cloud cost reduction effort and can talk specifics
Stakeholder management: you can talk to a Finance lead about a reconciliation flow in the morning and pair with a DevOps engineer on a webhook in the afternoon
Greenfield mindset: comfortable making decisions with incomplete information, setting standards, and revisiting them as you learn
Nice-to-haves:
Python for data-heavy automations or AI workflows
Experience with iPaaS platforms beyond the four above (Workato, Make, Tray.io)
Infrastructure-as-code (Terraform, Bicep) and CI/CD for automation deployment
Background in IT operations, RPA, or DevOps before moving into integration work
Familiarity with data warehousing or analytics pipelines
Security and compliance awareness (SOC 2, ISO 27001, GDPR) — you build with least-privilege by default
What’s in it for you:
Long-term engagement in a stable, growing SaaS company
Remote-first and async-friendly with flat organizational structure
High bar for engineering, product and business standards
A culture that values personal growth as much as business outcomes
A global team that spans Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more.
Feels like it’s a perfect match to you?
We look forward to your application! (please submit your English CV)
Auditdata is an equal opportunity employer that is committed to create diverse work environment free of discrimination and harassment. We make recruiting decisions based on your experience and skills.
