Our client is a fast-growing SaaS company building tools used by organizations globally to support key business operations. The company has made AI a core part of its product strategy, using it to cut down on manual work and tailor the experience to each user, and operates with a culture built on ownership, autonomy, and collaboration.
Role Overview
This role sits within a globally distributed SRE function responsible for keeping a large scale, multi-tenant SaaS platform running reliably for customers around the world. You'll take a hands-on lead role in high severity incident response while also shaping the underlying infrastructure that supports the platform's scale. The position blends deep technical ownership with cross-team influence, giving you room to fix root causes, not just symptoms, and to raise the reliability bar across the wider engineering org.
What You'll Be Doing
Take point on major incidents, coordinating the response across engineering teams and making the real-time calls needed to restore service quickly.
Hold ownership over key pieces of the shared infrastructure, working continuously to improve its resilience and ability to scale.
Run structured reliability work such as capacity forecasting, performance tuning, and controlled failure testing.
Improve how the org detects problems before customers do, by refining metrics, alerting, and overall observability.
Run thorough retrospectives after incidents and make sure the resulting action items actually get built, not just logged.
Support less experienced SREs through code and design review, pairing, and ongoing feedback, and help spread strong reliability practices across Product and Engineering more broadly.
What You Bring
4 to 8 years working in SRE, DevOps, or production engineering roles within SaaS environments.
Solid, practical grounding in Linux, containerized systems, and cloud native infrastructure, including hands-on experience with a major cloud provider and its networking layer.
Comfort writing code or scripts to manage infrastructure, with a genuine preference for infrastructure as code over manual configuration.
Real experience building and running CI/CD pipelines, observability tooling, and version control workflows at scale.
A track record of staying level headed during live incidents, and the ability to explain technical issues clearly to people who aren't engineers.
About HighlightTA
This confidential opportunity is presented by HighlightTA, your on-demand talent team. We make hiring easy with flexible, on-demand talent solutions. We partner with startups and scale-ups to embed talent partners, lead recruitment projects, and manage full talent functions. Our data-driven approach ensures fast hiring and access to top-tier talent, while flexible terms help you save time and reduce costs.
Connect with us and learn more:
HighlightTA on LinkedIn
Skills Required
- 4 to 8 years working in SRE, DevOps, or production engineering roles within SaaS environments
- Practical grounding in Linux, containerized systems, and cloud native infrastructure with hands-on experience with a major cloud provider and its networking layer
- Comfort writing code or scripts to manage infrastructure and preference for infrastructure as code over manual configuration
- Experience building and running CI/CD pipelines, observability tooling, and version control workflows at scale
- Proven ability to remain level headed during live incidents and explain technical issues clearly to non-engineers
What We Do
HighlightTA is an on-demand talent team that simplifies hiring by embedding talent partners into client organizations, managing recruitment functions, and offering flexible solutions for startups and scaleups.
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