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
401(k) plan to help you save for the future
Unlimited PTO to have fun
Receive an elite technology package to make work easier
PI280473981
Referrals increase your chances of interviewing at Bigeye by 2x
#J-18808-Ljbffr
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
401(k) plan to help you save for the future
Unlimited PTO to have fun
Receive an elite technology package to make work easier
PI280473981
Referrals increase your chances of interviewing at Bigeye by 2x
#J-18808-Ljbffr