Staff Site Reliability Engineer

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support, sales engineers and solution architects to build the future of the Fivetran Data Platform Reliability.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Cloud Service Providers(CSPs): AWS, Azure and Google Cloud
• Kubernetes: Managed Kubernetes services (EKS, AKS and GKE)
• Continuous Integration tools: github actions, Buildkite
• Continuous Delivery: ArgoCd
• Databases: Postgres and all the major Databases
• Languages: Go, Java
• Scripts: Typescript, Python, Shell
• IaC: Terraform and Pulumi
• RESTful API: FastAPI
• Cloud networking: Privatelinks in Azure and AWS, Private service connect in GCP and site-to-site VPN tunnels in all 3 major cloud service providers - AWS, Azure and Google Cloud

What You’ll Do

As a member of the Site  Reliability Engineering team, you will take ownership over the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance.

• Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput.
• Evolve systems by adding reliability into our product roadmap
• Coordinate the re-prioritise or fix critical bugs for support or sales requirements as needed
• Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability
• Ensure scalable artifacts deployment to all environments by automation scripts
• Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team

Skills We’re Looking For

• Expertise in managed Kubernetes (EKS, AKS, and GKE).
• Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD.
• Experience in Python/Shell scripting and Go Language. Bonus if you have Java.
• Experience with Linux operating systems internals and administration 
• Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP)
• AI-assisted engineering: Experience using AI tools for code review, automation, incident analysis, documentation, and reducing operational toil.

Bonus Skills​

• 5+  years of  experience working with SaaS products at scale 
• Experience with databases such as PostgreSQL

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