Senior DevOps Engineer, Infrastructure & Reliability

Responsibilities

• Implement scalable infrastructure-as-code patterns with Terraform to standardize cloud provisioning and reduce configuration drift.
• Own and evolve the Kubernetes platform, including EKS or self-managed Kubernetes, with secure, scalable, and resilient workloads.
• Optimize CI/CD pipelines to improve deployment frequency, reduce lead time, and increase release confidence.
• Design and enforce secure networking, IAM, and secrets-management strategies across environments.
• Improve observability through actionable metrics, logs, and tracing using DataDog.
• Optimize cloud costs through rightsizing, autoscaling, and architectural improvements.
• Implement disaster recovery, backup, and multi-region resilience strategies.
• Refactor brittle or manually managed infrastructure into automated, testable, reproducible systems.
• Introduce infrastructure tooling and architectural changes, driving adoption through documentation, workshops, and hands-on support.
• Partner with engineering teams to reduce friction in CI/CD, deployments, and cloud environments.
• Communicate technical trade-offs across engineering and product stakeholders.

Requirements

• 8+ years of experience in DevOps, SRE, or infrastructure engineering.
• Experience designing and operating production Kubernetes environments at scale.
• Deep hands-on expertise with AWS infrastructure and cloud networking.
• Strong experience building and maintaining Terraform modules across large cloud environments.
• Experience owning CI/CD systems and improving DORA metrics.
• Experience leading incident response and driving effective postmortems.
• Strong understanding of distributed systems, event-driven architectures, Kafka, and PostgreSQL performance.
• Ability to modernize legacy infrastructure and eliminate manual operational toil.
• Ability to take infrastructure projects from ambiguity through production independently.
• Ability to build trust across teams while improving reliability.

Success Metrics

• Maintain or exceed SLO/SLA targets while reducing incident frequency and duration.
• Reduce incidents caused by misconfiguration, manual processes, or infrastructure drift.
• Increase the percentage of infrastructure managed through code and automation.
• Improve cloud cost efficiency without sacrificing reliability or performance.

Nice-to-Haves

• Application coding experience.
• Experience operating high-throughput Kafka clusters, including MSK or self-managed deployments.
• Database performance tuning with PostgreSQL and Redis.
• Autoscaling strategies for high-traffic systems.
• Service mesh technologies.
• Internal developer platforms.
• Security practices such as zero-trust networking and policy-as-code.
• Multi-region or globally distributed systems.
• Reliability frameworks including SLOs, error budgets, and chaos testing.

Technology Stack

• Cloud and infrastructure: AWS, EKS, RDS, MSK, S3, Lambda, IAM, VPC
• Containerization and orchestration: Kubernetes, ArgoCD
• Infrastructure as code: Terraform
• CI/CD: GitHub Actions
• Monitoring and observability: DataDog
• Data and messaging: PostgreSQL, Kafka, Redis
• Languages: Bash, Python, TypeScript, JavaScript

Compensation and Benefits

• Medical, dental, and vision health care plan
• 401(k) retirement plan
• Life insurance
• Flexible paid time off
• 9 paid holidays
• Family leave
• Wellness resources
• Remote work
• Remote hires must travel to Orlando, Florida at least twice per year for town halls and collaboration, in addition to orientation in Orlando.