Data & Analytics Jobs in Alpharetta, GA (Now Hiring) — 212 open

Site Reliability Engineer (SRE) Overview:

 

We are looking for a Site Reliability Engineer (SRE) to join our Engineering team. This is a build-it-from-zero role at startup speed. You're our first dedicated Site Reliability Engineer, and you'll be defining what “reliable” means for our production systems, not maintaining someone else's playbook. You'll work with leading-edge observability and reliability tooling, and the calls you make will directly shape how confidently the whole engineering org ships.

 

Expect real engineering deep dives, not top-down mandates. We love digging into a hard problem together, and we want you to bring a strong point of view, back it up with data and sound reasoning, and enjoy the back-and-forth as we work toward the best answer. Good persuasion skills matter here as much as technical depth, since good ideas still have to win the room. We move at startup speed: we'd rather figure something out in a few hours than plan it for weeks. We're a collaborative, respectful team: we debate ideas hard, never people.

 

We care much more about a proven track record running big, ambiguous projects efficiently than about years of tenure or a wall of certifications. You should be genuinely comfortable working independently: we won't hand-hold you or chase you for status updates. We expect you to take total ownership of outcomes and drive them without being asked twice, and without running your own separate agenda. This work is relentless, juggling several things at once under real time pressure is normal here, and the right candidate is passionate about SRE and thrives on that intensity, not just tolerates it.

 

Site Reliability Engineer (SRE) Responsibilities: 

• This role is hands-on from day one. Your initial focus will be:
• SLI/SLO Definition & Grafana Implementation: Drive the definition of Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for our core services, translating them into insightful Grafana dashboards and actionable, burn-rate-based alerting, so pages are precise and noise stays low.
• Incident Management: Stand up our incident management practice (tooling such as PagerDuty, on-call training, incident command), then own and continuously improve it, stepping in personally only for the most severe incidents.
• Observability Stack Ownership: Own the observability stack end to end: metrics, logs, traces, Real User Monitoring (RUM), and synthetic checks across the user journey, alerting whenever a signal deviates from baseline.
• Team Enablement: Partner with engineering teams to refine SLIs, SLOs, and error budgets as services evolve, and coach teams on SRE and observability best practices.
• Toil Reduction: Identify and automate away manual, repetitive operational work through infrastructure as code and tooling.
• Chaos & Performance Engineering: Design and run load/performance tests and chaos engineering game days to proactively surface weaknesses before they cause incidents.
• For example: in your first few days, you might stand up an SLO and a burn-rate alert in Grafana for our highest-traffic service. Within a couple of weeks, PagerDuty on-call is configured and the rotation is trained on incident command. That's the pace we operate at here: hours and days, not weeks.

 

Site Reliability Engineer (SRE) Requirements:

• The tools below are what we run today. What matters more is the systems literacy and genuine curiosity about reliability that let you reason from first principles when something breaks in a way none of these tools have seen before:
• Education & Systems Foundations: Bachelor's degree in Computer Science, Computer Engineering, or equivalent formal training, with real depth in operating systems, databases, and networking. This fundamental understanding is required. How you acquired it (degree or a rigorous equivalent) is not, since it's what lets you diagnose a novel failure, not just operate a dashboard.
• AI-Accelerated Execution (core requirement): You actively use AI tools daily to multiply your own output, not just experiment with them on the side. We expect you to use AI to write and debug code faster, stand up dashboards and alerts faster, and generally ship at a pace that wouldn't be possible without it. This is not a bonus skill here; it's how we expect this role to operate.
• Track Record Over Tenure: A demonstrated history of independently driving big, ambiguous reliability or infrastructure projects to completion, typically reflecting 5+ years in an SRE, DevOps, or production engineering role. We care far more about what you've actually shipped than the number itself.
• SLI/SLO Methodology: Proven, hands-on track record implementing the SLI/SLO/error-budget model in a prior role, the discipline formalized in Google's SRE Workbook.
• Observability Tooling: Strong experience with Grafana and PromQL (Prometheus Query Language), Grafana Alloy for Loki logs, and a metrics backend such as Prometheus or Datadog. Experience instrumenting with OpenTelemetry and a tracing/Application Performance Monitoring (APM) backend (open-source preferred: SigNoz, Uptrace, Tempo; commercial: Datadog, New Relic), plus Real User Monitoring (RUM) and synthetic monitoring (e.g., Grafana Faro, Grafana Synthetic Monitoring / k6).
• Incident Management: Proven track record designing on-call rotations and incident command practices elsewhere, with tooling such as PagerDuty or equivalent.
• Performance & Chaos Engineering: Hands-on with a load/performance framework (Locust, k6, or JMeter) and chaos engineering exercises to validate reliability under real conditions.
• Automation, Infrastructure & Cloud: Proficient in Python, Go, or Bash; hands-on with Infrastructure as Code (Terraform, Ansible, or equivalent), Kubernetes, and at least one major cloud platform (Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure).
• Communication: Experienced, versatile communicator: able to go deep with developers on root cause, tradeoffs, and implementation detail; comfortable pushing back with a real technical path when a team says something “can't” be done; precise about the difference between a mitigation and an actual fix when reporting status; and able to translate reliability status, risk, and priorities clearly for business and engineering stakeholders.
• Independence & Pace: You don't need hand-holding or check-ins to make progress. Comfortable resolving ambiguous problems in hours, not weeks, taking full ownership of outcomes, and juggling multiple threads under real time pressure without dropping the ball.

 

What Success Looks Like: 

By the end of your first quarter, core services have defined SLIs and SLOs, live in Grafana dashboards, and are backed by burn-rate-based alerting. A documented incident management process is operating end-to-end, run day to day by trained on-call engineers rather than by you personally, from detection through blameless postmortem. Over time, success looks like measurably reduced alert noise, faster Mean Time to Recovery (MTTR), and an engineering organization that trusts its reliability signals enough to make release and investment decisions based on them.

 

Bonus Points: 

• Experience standing up an SRE practice from zero to one (“founding SRE”).
• Experience with GitOps and just-in-time production access models.
• Familiarity with eBPF-based auto-instrumentation (eBPF stands for extended Berkeley Packet Filter), such as Grafana Beyla or OpenTelemetry eBPF Instrumentation, for legacy or hard-to-modify codebases. It's a newer approach, nice to have rather than expected.
• .NET experience is a plus, given our engineering stack.
• Certifications aren't required and aren't a strong signal for us; what you've built matters more than what's on your cert wall. If you happen to have one, Certified Kubernetes Administrator (CKA) or Google Cloud Professional DevOps Engineer are the most relevant.