5-7 years of experience operating production systems on AWS
Expert-level proficiency in Terraform for infrastructure management
Strong background in containerized applications and distributed systems like Kafka
Proven experience in production incident ownership and resolution
Solid understanding of security best practices, including IAM and secrets management
Strong scripting skills in Bash, Python, or similar languages
Demonstrated technical leadership with experience mentoring engineers
Responsibilities
Design and operate scalable, highly available infrastructure on AWS
Own and evolve infrastructure as code using Terraform
Optimize Aurora PostgreSQL for performance and reliability
Manage ECS (Fargate) and containerized services
Lead production incident response and root cause analysis
Build and maintain CI/CD pipelines with Buildkite
Drive cost optimization across AWS infrastructure
Benefits
Tight-knit team culture with a focus on collaboration
Extensive access to leadership and engagement opportunities
Agile working methodology
401(k) plan
Cell phone reimbursement
Health, dental, and vision benefits
Access to new technologies
Full Job Description
Lead Devops Engineer
This is a hands-on Lead DevOps Engineer role responsible for designing, operating, and evolving a highly available, multi-tenant platform on AWS. You will work closely with software engineering to deploy, operate, and scale production systems while driving improvements in reliability, automation, and performance.
You will lead a small DevOps team of 1-2 engineers while remaining primarily hands-on. You will serve as the team's technical lead, set standards and priorities, mentor and develop engineers, and take ownership of the most difficult infrastructure and production problems.
You will also help introduce and operationalize AI/LLM capabilities within the platform.
This role reports to the Chief Technology Officer (CTO) and is part of the engineering leadership team.
What You'll Be Responsible For
Design, build, and operate scalable, highly available infrastructure in AWS
Own and evolve infrastructure as code (Terraform) across all environments
Operate and optimize Aurora PostgreSQL, including replication, failover, and performance tuning
Operate ECS (Fargate), ECR, and containerized services
Operate Kafka-based event streaming systems
Manage Auto Scaling Groups and EC2-based workloads
Design and maintain CI/CD pipelines using Buildkite
Build automation to eliminate manual operational work
Manage and secure secrets and access using Vault, AWS Secrets Manager, and IAM
Partner with engineering teams to improve system reliability and performance
Lead, mentor, and manage a small DevOps team
Set technical direction, standards, and priorities for the DevOps function
Drive cost optimization across AWS infrastructure
Operate systems behind Cloudflare, including WAF, CDN, and traffic management
Production Reliability & Incident Ownership
Own production incident response end-to-end, including triage, mitigation, and coordination
Lead high-severity outage response under pressure
Serve as an escalation point for complex production issues
Drive root cause analysis (RCA) and enforce follow-up actions
Continuously improve system resilience and recovery mechanisms
Observability & System Insight
Design and operate end-to-end observability across metrics, logs, and tracing
Build high-signal monitoring, alerting, and dashboards
Define and enforce SLIs, SLOs, and alerting standards
Reduce alert fatigue and improve the signal-to-noise ratio
AI / LLM Systems - Emerging Area
Experience using AI/agentic developer tools, such as Claude Code, Cursor, or similar tools, to accelerate DevOps workflows and improve engineering efficiency
You don't have to be an expert with AI yet, but you must have the desire to learn quickly and become proficient
This is an area we're heavily investing in as a company
What You Bring
Deep experience operating production systems on AWS, including ECS/Fargate, EC2, networking, and IAM
Expert-level Terraform experience managing infrastructure at scale
Strong experience with containerized applications and distributed systems, such as Kafka
Experience operating multi-tenant, highly available systems
Proven ownership of production on-call and experience resolving critical incidents
Strong systems fundamentals, including Linux, networking, and debugging
Strong scripting ability in Bash, Python, or an equivalent language
Experience designing and operating CI/CD systems
Strong understanding of security best practices, including IAM and secrets management
Demonstrated technical leadership and experience mentoring engineers
Experience managing engineers, or clear readiness and interest in taking on direct people management
Strong communication and prioritization skills
Nice to Have
Experience operating multi-region or globally distributed systems
Experience working with Cloudflare at scale
Experience optimizing high-throughput or event-driven systems
Experience leading a small infrastructure, platform, SRE, or DevOps team
Experience operating or integrating LLM/AI services in production environments, including tracing and evaluation with OpenTelemetry, LangSmith, Langfuse, or equivalent tools
Experience managing the performance, cost, and reliability of LLM workloads, including latency, token usage, rate limiting, and fallbacks
Oh Yeah, and We Can Offer You
A tight-knit team of motivated, dedicated individuals who work together without ego
Extensive access to and engagement with leadership
