Senior Site Reliability Engineer

Job Description

Our client runs consumer media platforms that millions of people use at the same moment. Their busiest hours are scheduled weeks in advance, and a failure during one of those windows is public within seconds. This role keeps that infrastructure steady across on-prem and cloud.

You’ll be an Econify engineer embedded in the client’s platform team. Alongside the core platform, the team is building an AI system that pulls together telemetry, runbooks and incident history so engineers can diagnose problems faster. Keeping that system reliable is part of your job too.

What the work looks like

A lot of the work is writing Go. You’ll build the services, Kubernetes operators, exporters and CLIs that take repetitive work off the team permanently. If you’ve fixed the same alert by hand twice, you’ll write the thing that fixes it.

You’ll define SLOs and error budgets with the client team, then build the alerting behind them and dashboards that hold up during an incident. Because peak periods are known in advance, capacity planning and load testing come round every few weeks.

You’ll join the on-call rotation. When something breaks, you’ll help lead the response and see the fix through to production.

Client work means meetings. You’ll explain tradeoffs to engineers and product leads and disagree when the evidence supports it. People should hear from you before they have to ask.

What we’re looking for

• You write production Go. You’ve shipped services or tools other people depend on, and you’re comfortable with concurrency, testing and profiling. If you’ve written a Kubernetes operator, we’ll want to hear about it.
• You’ve debugged Kubernetes in production. You’ve chased down scheduling and networking problems on live clusters and can work below the Helm chart when you need to.
• Terraform is how you change infrastructure. You keep modules readable for whoever touches them next.
• You’ve carried a pager. You’ve led incidents, written the post-mortem and made sure the follow-up actions actually shipped.
• You measure reliability. You’ve designed SLOs, and you can tell us about a number you moved.
• You’re curious about AI infrastructure. Experience with GPU workloads, RAG, vector databases or model serving helps. None of it is required, and you’ll learn it here.
• You’re comfortable in hybrid environments. Part of the estate is on-prem, with the constraints that come with it. If you only want to work in fully managed cloud, this probably isn’t the right fit.
• You have about five years in SRE or platform engineering. What you’ve run in production and how you reason about failure matter more than where you learned.

How we interview

There are two conversations and no algorithm puzzles.

A 30-minute video call. You tell us about yourself. We tell you about Econify, who the client is and what an embedded consulting role looks like day to day.

One interview, about an hour and forty-five minutes, with two of our engineers. Start by walking us through an incident you handled: what broke, how you found it and what changed afterwards. Next comes a system design discussion about getting a service ready for a large, predictable traffic spike. Then there’s a hands-on session on a small Go and Kubernetes codebase we send you the day before, using the tools you already work with. We finish with a conversation about how we work and what you want next.

About Econify

Since 2001, Econify has designed and built mobile, smart TV and web apps for clients, most of them in media. That work includes apps behind billions of streams and millions of viewers. The engineers who do well here are curious and keep moving without being told what’s next.

Benefits

• $150,000–$175,000 salary
• Liberal vacation time
• Healthcare
• Awesome coworkers!

How to apply

Use the form below. In “Why do you want to work at Econify?”, tell us about an incident that changed how you work, or a tool you wrote because you were tired of doing something by hand.