Sr. Site Reliability Engineer

Senior Site Reliability Engineer

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Sr. Site Reliability Engineer

role at

Bigeye .

Mission

We build trusted tools that enable enterprises to move fast with confidence in their data and AI – combining early signal data observability, clear lineage, and an AI trust platform that governs access with auditability.

The role

As a Senior SRE at Bigeye, you’ll own the reliability and operability of the core systems that power our platform. You’ll design, build, and run the infrastructure that lets us deploy hybrid data and AI workloads across our AWS cloud and customer environments, while keeping them observable, reliable, and governed. You’ll sit on the infra team, working closely with engineers, product, and customer teams. You’ll shape how we deploy, monitor, and scale Bigeye, and you’ll make it easy for the rest of engineering to ship quickly without trading off reliability and stability.

What Impact Looks Like

Design and evolve a deployment system that orchestrates hybrid application deployments across Bigeye’s AWS infrastructure and customer clouds

Build and maintain CI / CD pipelines so teams can ship changes to production regularly, safely, and with fast feedback loops

Own the infrastructure foundations that let Bigeye scale - capacity planning, environment topology, and cost aware growth

Automate repetitive workflows and build self service tooling so developers can provision, deploy, and debug without blocking on the infra team

Define and track SLIs / SLOs for core services; use error budgets and clear metrics to guide reliability work

Improve on-call quality : actionable alerts, clear runbooks, safe rollback paths, faster MTTR, and fewer noisy pages

Design and implement systems and processes to measure reliability over time, and drive concrete improvements after incidents

Gather, analyze, and visualize metrics, logs, and traces to monitor system performance and uncover hidden failure modes

Participate in system design and capacity planning to make sure new features are reliable, operable, and diagnosable from day one

Work directly with customer teams (data, platform, security) to understand their environments, support hybrid deployments, and enable them to run Bigeye with confidence

What You Bring

5+ years of experience as a software and / or infrastructure engineer, including substantial time running production systems

3+ years of experience as a software developer – you’ve spent time on “the other side of the fence” and can read and write production code

Strong programming skills in at least one of Java, Go, or Python

Experience running services in AWS and working with service oriented architectures

Strong Linux and systems fundamentals (processes, networking, containers, monitoring, debugging)

Comfortable with shell scripting for glue and automation; use higher-level languages (Python / Go / Java) for larger systems

Hands‑on experience with CI / CD pipelines and build / deploy systems

Solid understanding of observability fundamentals (metrics, logs, traces) and how to use them to debug and improve systems

Experience operating user-facing systems in fast-moving environments, including participating in on‑call rotations and incident response

Strong communication and ownership; you can work across teams, explain tradeoffs clearly, and drive projects from problem to stable solution

Proven curiosity about the real customer problem, not just the immediate ticket or symptom

Nice to have

Kubernetes experience

Experience with GCP or Azure in addition to AWS

Deep familiarity with AWS networking – e.g., gateways, route tables, NAT, etc.

Experience with hybrid deployments (cloud + customer VPCs / accounts)

Experience with modern observability tools

Familiarity with data platforms (warehouses, ETL / BI, data pipelines)

How We Work

Stay close to the problem and the customer

Move quickly with measured experiments and disciplined increments

Collaborate openly; focus on outcomes over tools or buzzwords

Iterate, standardize, and generalize common patterns into shared platform components – and retire debt as we learn

Treat reliability, safety, and operability as core product outcomes, not afterthoughts

Compensation

Base salary range $175,000-195,000 (+ equity), depending on location

Curious how we came up with this range? Ask us about our process!

Benefits

Highly competitive salary and equity opportunity

Medical, Dental and Vision to keep you healthy

Health and Wellness package

401k plan to help you save for the future

Unlimited PTO to have fun

Receive an elite technology package to make work easier

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development

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