Bigeye

Compensation

Full Description

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 If you like building infrastructure that real teams depend on every day, enjoy digging into failures as much as shipping new capabilities, and want to work in the middle of data, AI, and reliability, we’d like to talk. 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