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We are looking for an experienced DevOps Engineer with a strong focus on production performance, reliability, security, and automation. This person will play a critical role in maintaining and improving our production environments while helping engineering teams build and operate scalable, secure, and high-performing systems.

The ideal candidate has 4–10 years of DevOps, SRE, Platform Engineering, or Cloud Infrastructure experience, strong hands-on Kubernetes expertise, experience with modern monitoring and observability tools, and an interest in using AI-powered tools and automation to improve engineering operations.

We are looking for someone who enjoys solving difficult production problems, takes ownership, and is enthusiastic about making a measurable difference.

What You’ll Do

Production Reliability & Performance

• Maintain, support, and continuously improve highly available production environments.
• Monitor application and infrastructure performance and proactively identify bottlenecks, reliability issues, and opportunities for optimization.
• Troubleshoot complex production issues across infrastructure, applications, Kubernetes, networking, and cloud services.
• Improve system availability, scalability, resiliency, and overall production performance.
• Participate in incident response, root cause analysis, and post-incident improvements.
• Help establish and improve operational standards around system health, performance, and reliability.

Kubernetes & Cloud Infrastructure

• Build, operate, maintain, and optimize Kubernetes environments running production workloads.
• Manage containerized applications and services using Kubernetes and Docker.
• Support scaling, cluster performance, service availability, upgrades, and troubleshooting.
• Design and maintain scalable cloud infrastructure primarily in AWS and/or GCP.
• Use Infrastructure as Code technologies such as Terraform, CloudFormation, or Pulumi to automate infrastructure provisioning and configuration.

Monitoring & Observability

• Implement and improve monitoring, alerting, logging, tracing, and observability across production systems.
• Work with a variety of modern monitoring and observability platforms to understand infrastructure and application health.
• Build dashboards, alerts, and operational metrics that help teams identify issues before they impact customers.
• Use production data to identify performance trends and drive continuous improvement.
• Help engineering teams improve visibility into their applications and services.

Security & DevSecOps

• Build security into infrastructure, deployment pipelines, and production operations.
• Partner with engineering and security teams on IAM, secrets management, vulnerability remediation, infrastructure hardening, and secure configuration.
• Identify infrastructure and production security risks and help drive remediation.
• Apply DevSecOps practices throughout the software development and deployment lifecycle.
• Balance security requirements with system performance, reliability, and developer productivity.

AI, Automation & Developer Productivity

• Leverage AI-powered engineering and operations tools to improve troubleshooting, monitoring, automation, and operational efficiency.
• Evaluate opportunities to use AI to identify anomalies, analyze logs, accelerate incident investigation, and automate repetitive operational tasks.
• Automate manual infrastructure and production processes wherever practical.
• Improve internal tooling and developer workflows.
• Help create self-service capabilities that allow engineering teams to operate more efficiently.

CI/CD & Release Engineering

• Build, maintain, and optimize CI/CD pipelines across multiple environments.
• Improve deployment reliability, release automation, and rollback capabilities.
• Partner with software engineers to improve the software delivery lifecycle.
• Support modern deployment strategies including blue/green and canary deployments.

What We’re Looking For

• 4–10 years of hands-on DevOps, SRE, Platform Engineering, Cloud Infrastructure, or similar experience.
• Strong experience with Argo CD is required
• Strong experience maintaining and troubleshooting production environments.
• Strong hands-on experience with Kubernetes and containerized production workloads.
• Experience working within AWS and/or GCP cloud environments.
• Experience with Infrastructure as Code, preferably Terraform.
• Strong experience with monitoring, observability, logging, and alerting tools.
• Experience troubleshooting production performance and reliability issues.
• Solid understanding of cloud and infrastructure security best practices.
• Experience with CI/CD pipelines and modern software deployment practices.
• Experience using—or a strong interest in using—AI tools within DevOps, SRE, infrastructure, or production operations.
• Strong troubleshooting and problem-solving skills.
• Ability to take ownership of production issues and work effectively across engineering teams.
• Enthusiastic, curious, and motivated by opportunities to make a meaningful difference.

Preferred Background

• Experience working for a product-based SaaS or technology company.
• Experience supporting internally developed software products or platforms in production.
• Experience operating Kubernetes at meaningful production scale.
• Familiarity with monitoring and observability technologies such as Datadog, Grafana, Prometheus, New Relic, Splunk, Elastic, CloudWatch, or similar platforms.
• Experience with application performance monitoring (APM), distributed tracing, and production performance optimization.
• Experience incorporating security scanning, vulnerability management, or policy enforcement into CI/CD and infrastructure workflows.
• Exposure to AI-assisted operations, AIOps, AI coding tools, or AI-driven infrastructure/observability platforms.