Senior DevOps & Platform Engineer — Scale & Automation Lead

Jitsu, Inc.; Newark (NJ); On-site; USD 120,000 - 147,000; Full time

Benefits offered by this job

Health, vision & dental insurance

401(k) plan

Flexible time off

Equity incentives

Job summary

Jitsu, Inc. is seeking a Senior DevOps / Platform Engineer to advance our cloud infrastructure, CI/CD automation, and platform reliability at scale. You will help evolve tooling and processes used by a global engineering team, driving maintainability, security, and performance.

The role emphasizes hands-on leadership, Terraform-based infrastructure, Kubernetes operations, and a strong focus on observability and cost efficiency across environments.

Qualifications

• 5+ years as a DevOps or SRE with production systems.
• Deep hands-on experience with CI/CD pipelines and release automation.
• Strong Terraform and GitOps practices across multi-environment infra.
• Expertise in Kubernetes, clustering, autoscaling, and networking.
• Experience with cloud infrastructure at scale (GCP preferred).

Responsibilities

• Own DevOps contributions for a global engineering platform.
• Improve build, test, packaging, release, and deployment processes.
• Enhance infrastructure management, cost efficiency, and config.
• Advance monitoring/observability for availability and performance.
• Lead security posture improvements with other tech leaders.

Skills

CI/CD engineering

GitOps

Terraform

Kubernetes operations

Cloud infrastructure (GCP)

Observability & monitoring

Security best practices

Tools

Jenkins

GitHub Actions

ArgoCD

Terraform modules

Helm

PostgreSQL

MongoDB

Redis

Job description

Jitsu, Inc. is seeking a Senior DevOps / Platform Engineer to advance our cloud infrastructure, CI/CD automation, and platform reliability at scale. You will help evolve tooling and processes used by a global engineering team, driving maintainability, security, and performance.

The role emphasizes hands-on leadership, Terraform-based infrastructure, Kubernetes operations, and a strong focus on observability and cost efficiency across environments.