Principal SRE

Remote: yes Posted: 2026-10-14

Mobile Wave Solutions is a professional services company specializing in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet our clients' evolving needs. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation.

We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure of one of our client.

You'll sit at the intersection of engineering, operations, and quality measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable.

This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what "reliable" means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively.

As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy.

- Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns

- Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team

- Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems

- Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback

- Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production

- Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call