Senior DevOps Engineer: Worth AI

# Senior Dev Ops Engineer:
Worth AI in Atlanta
** Worth AI
** Atlanta, GA Start Date
09/17/2026

Full-Time Contact Member The Senior Dev Ops Engineer, Infrastructure & Reliability role at Worth AI supports a remote infrastructure team with Atlanta among the listed work locations. The full-time role centers on Terraform, Kubernetes, AWS, and production systems that make software delivery faster and more reliable. Remote hires travel to Orlando at least twice each year for town halls and team collaboration, and remote associates complete Orlando orientation.

Worth AI places the role on a small platform team with an established roadmap and existing patterns. The position suits infrastructure professionals with at least eight years in Dev Ops, site reliability, or infrastructure engineering, plus production Kubernetes and deep AWS experience. The work spans hands-on delivery, incident response, security, cost control, and communication with engineering teams. Worth AI's role shares the employment category with other open Atlanta roles for professionals seeking technology work.
* ** Role:
** Senior Dev Ops Engineer, Infrastructure & Reliability
* ** Company:
** Worth AI
* *
* Location:

** Atlanta, Georgia, with remote work and Orlando travel
* ** Work type:
** Full-time
* ** Arrangement:
** Remote, with hybrid work for Orlando associates
* ** Industry:
** Information Technology
* ** Salary:
** Not Listed
* *
* Experience:

** 8+ years in Dev Ops, SRE, or infrastructure engineering

Apply For This Role Applicants should have a current resume that details production Kubernetes, AWS networking, Terraform modules, CI/CD ownership, and incident-response work. The application also gives candidates a place to settle the remote-work arrangement and Orlando travel expectations before submitting.## Infrastructure And Reliability Work The role writes Terraform, tunes Kubernetes workloads, automates manual processes, and ships infrastructure changes to production.

The engineer owns and evolves Kubernetes platforms while building infrastructure-as-code patterns that can scale with the company. The work includes legacy modernization and architectural changes when existing systems create reliability or delivery problems.

Success is measured through service-level objectives, service-level agreements, incident frequency, incident duration, infrastructure managed through code, and cloud-cost efficiency. Those measures give the engineer concrete operating targets rather than a project list that ends  Atlanta-compatible role connects to broader infrastructure work in the local employment market.## AWS And Kubernetes Systems Worth AI names AWS services including EKS, RDS, MSK, S3, Lambda, IAM, and VPC in the working stack.

Kubernetes platform work sits beside ArgoCD, Terraform, Git Hub Actions, Data Dog, PostgreSQL, Kafka, Redis, Bash, Python, Type Script, and JavaScript. The engineer uses these systems to manage deployment, observability, data services, access controls, and production capacity.

Networking, identity and access management, secrets management, metrics, logs, and tracing form part of the reliability workload. Disaster recovery, backups, and multi-region resilience extend the role beyond routine pipeline maintenance. A strong candidate can explain how infrastructure choices affect availability, performance, security, and cloud spend.## Production Standards And Incident Work The position leads incident response and postmortem work while reducing failures caused by misconfiguration, manual processes, or infrastructure drift.

The engineer also improves DORA metrics and supports engineering teams through technical trade-offs. The UK government's repeatable deployment framework describes the same operational emphasis on secure, scalable services and fault resolution.

Worth AI expects the engineer to build observability with metrics, logs, tracing, and Data Dog. The role also values incident leadership, distributed-systems knowledge, Kafka and PostgreSQL experience, and the ability to take ambiguous infrastructure work into production independently. Application coding, autoscaling, service meshes, policy-as-code, zero-trust networking, and chaos testing are additional strengths.## Remote Team And Growth The infrastructure team works with engineering groups that need dependable platforms and easier software delivery.

Communication includes technical trade-offs, cross-team trust building, and support for engineers who use the platform. The current openings…