Staff Site Reliability Engineer

Bigeye•New York, NY

13d•$230,000 - $240,000

About The Position

As a Staff 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.

Requirements

8–12+ years of total industry experience, with 5–8+ years in SRE/devops/platform/infrastructure
Strong technical leadership and ownership of reliability
Experience with large-scale distributed 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 Haves

Experience leading teams or initiatives, either through people management or senior IC leadership (technical direction, mentoring, cross-team collaboration)
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)

Responsibilities

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