Hands-on experience architecting and operating Agentic Platforms, including agentic runtime infrastructure, secure tool-use governance, model/provider abstraction layers, and monitoring/observability
Experience building and promoting a "platform-as-a-product" for internal developer customers.
Experience with cloud financial management (FinOps) and architecting for cost-efficiency.
Deep knowledge in cloud security, including threat modeling, network security, and identity management.
Experience designing and developing reusable, scalable IaC (Terraform modules, Crossplane Compositions) for a wide audience.
A history of contributing to open-source projects in the cloud-native space.
Full description
We’re looking for a Staff Site Reliability Engineer / Staff Platform Engineer to join our Product Engineering organization in our Helsinki HQ and help us make our Platform fully self-service for humans and agents alike.
In this role, you will…
Act as a key technical leader across site reliability, platform architecture, and infrastructure scaling.
Bridge product, development, and operations by breaking down traditional team boundaries, enabling cross-functional collaboration and scaling business operations.
Guide our technical strategy using deep expertise in Kubernetes, cloud systems, SRE practices and modern software development.
Ensure our platform is a robust, reliable, and secure foundation for future growth.
Focus on solving complex distributed systems challenges.
Lead the platform's transition into the agentic era, driving AI Agents ops and development so our infrastructure seamlessly serves and collaborates with both humans and autonomous AI agents.
Your day-to-day work and responsibilities include…
Act as the subject matter expert for our cloud-native platform, SRE practices, and agentic workflows, adapting industry standards for Kubernetes, public cloud, and distributed systems to our scaling needs.
Contribute to various initiatives (“Lists”), supporting our business goals with the skills and experiences you bring. These may include helping migrate the last legacy services to Kubernetes, improving self-service capabilities for humans and agents, or improving the reliability of our latest products while we scale them to more customers.
Other List work may include shaping and building highly reliable, scalable multi-cloud Kubernetes infrastructure that powers AI agent interactions alongside developer tools; improving how we observe system and application performance, with a focus on our use of OpenTelemetry and the various observability platforms we send our signals to; advice on choosing, scaling and generally managing databases across our stack, running PoCs to expand our internal self-service offering as required.
Take part in our on-call rotations to ensure high availability, respond to system incidents, and maintain the reliability of our products.
This position is for you if you have…
Experience in effectively designing and operating large-scale cloud environments in a platform, SRE, or architecture team, with a focus on enabling self-service capabilities and a great user experience.
Embraced Agentic development and operations while not letting that diminish your capacity to think for yourself.
Deep experience architecting complex, distributed systems, thinking in patterns and long-term strategy.
Staff Site Reliability Engineer at Supermetrics (Remote) — aijobsearch
Guided teams through breaking down monolithic apps and moving them to Kubernetes.
Advanced knowledge of Kubernetes, including networking and security across clouds.
Direct experience building and/or operating observability platforms, with particular expertise in integrating OpenTelemetry with infrastructure and services.
Hands-on experience with AI/ML concepts, inference workloads, AI agent frameworks, and architecting platform capabilities for agentic ops and development.
A solid background in software development (Go, Python) with the ability to prototype and write quality code.
Experience deploying and running modern databases (relational and NoSQL) in production in cloud native environments (with a preference for Kubernetes).
Extensive experience with Infrastructure-as-Code (IaC) and promoting self-service via developer portals (e.g., Backstage).
Nice to have…
Hands-on experience architecting and operating Agentic Platforms, including agentic runtime infrastructure, secure tool-use governance, model/provider abstraction layers, and monitoring/observability tailored for multi-agent workflows (e.g., Model Context Protocol / MCP, agentic memory layers, and token cost tracking).
Experience building and promoting a "platform-as-a-product" for internal developer customers.
Experience with cloud financial management (FinOps) and architecting for cost-efficiency.
Deep knowledge in cloud security, including threat modeling, network security, and identity management.
Experience designing and developing reusable, scalable IaC (Terraform modules, Crossplane Compositions) for a wide audience.
A history of contributing to open-source projects in the cloud-native space.
Benefits we offer…
Competitive compensation package, including equity
Great work equipment, and home office allowance for those working in our fully remote locations
Health care benefit and leisure time insurance
Annual 1000 euros of personal learning budget
Sports and wellbeing allowance
Hear why our team likes it here at .
Get to know our Engineering team at .
Join us in putting AI to work for marketers
Supermetrics helps marketers make better decisions. It connects marketing data from platforms like Facebook Ads and Google Analytics to the AI tools, analytics tools, and data warehouses marketers already use, putting it right where they need it.
With Supermetrics, a marketer can connect their data to AI tools like Claude and ChatGPT, ask questions about their campaigns, and get insights and recommendations grounded in live data. From there, they can also manage and update campaigns across every connected platform, automatically and in one place, using guardrails to stay in control.
We work with organizations of every size: small teams that want enterprise-level reporting without the overhead, global brands like Dyson and L'Oréal that need visibility across millions in ad spend, and agencies like dentsu and McCann UK that manage large portfolios of client accounts at scale. In total, over 200,000 businesses trust Supermetrics to help them make the best decisions with their marketing data. We've grown from a one-person shop in 2013 into a global powerhouse, and we're only getting started.
Today, we're 300+ people, with teams spread across 10 countries and 3 continents. Our team represents more than 50 nationalities which makes us a multicultural, collaborative, thriving team.
Supermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and quick to act, we see what needs doing, take ownership, and run with it. As team players, we help each other and win together.
We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully.
It all started with a Google t-shirt... Read the rest of our story at supermetrics.com/about.
How we use AI in the recruitment process:
We use AI to help our recruiters work through applications faster, for example, summarizing your resume and scheduling interviews. A recruiter reviews every application, and no hiring decision is ever made by AI.
For some roles, your first interview may be with an AI interviewer instead of a person, and a recruiter reviews that conversation before deciding whether you move forward. From there, our human interviewers may use AI to take notes throughout the rest of the process, never to score or evaluate you, just so they can stay focused on the conversation instead of typing. You'll be told before this happens, and if you'd rather not be recorded, you can opt out at any point. It covers the rest of your process and never affects how you're evaluated. Every hiring decision is made by our human recruiting and hiring teams.