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Senior DevOps Engineer, Infrastructure & Reliability Worth AI · Remote · US · DevOps & Release –e 13d

Remote / Online - Candidates ideally in
Orlando, Orange County, Florida, 32885, USA
Listing for: Devopsroles
Remote/Work from Home position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, AWS, Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

Worth AI, a leader in the computer software industry, is looking for a Senior Dev Ops Engineer to join our Infrastructure team with a singular mission: to make our systems faster, more reliable, and more resilient while making life dramatically easier for engineers shipping software.

This is a hands-on build role. You will spend most of your time writing Terraform, tuning Kubernetes workloads, automating things that are currently manual, and shipping infrastructure changes to production. You'll join a small platform team with an established roadmap and existing patterns, and a strong voice in how the work gets built.

  • Implement scalable Infrastructure-as-Code patterns using tools like Terraform to standardize cloud provisioning and reduce configuration drift.
  • Own and evolve our Kubernetes platform (EKS or self-managed), ensuring workloads are secure, scalable, and resilient by default.
  • Optimize CI/CD pipelines to improve deployment frequency, reduce lead time, and increase confidence in releases.
  • Design and enforce secure networking, IAM, and secrets management strategies across environments.
  • Improve observability by refining metrics, logs, and tracing using tools like Data Dog, ensuring actionable insight into system health.
  • Optimize cloud cost efficiency through rightsizing, autoscaling strategies, and architectural improvements.
  • Implement disaster recovery planning, backup strategies, and multi-region resilience initiatives.
  • Refactor brittle or manually managed infrastructure into automated, testable, and reproducible systems.
  • Introduce new infrastructure tooling or architectural shifts and drive adoption through documentation, workshops, and hands‑on support.
  • Partner with engineering teams to eliminate friction in CI/CD, deployments, and cloud environments.
  • Communicate technical trade‑offs clearly across engineering and product stakeholders, balancing speed with safety.
Technology Stack
  • Cloud &

    Infrastructure: AWS (EKS, RDS, MSK, S3, Lambda, IAM, VPC)
    Containerization & Orchestration:
    Kubernetes, ArgoCD
    Infrastructure-as-Code:
    Terraform
    CI/CD:
    Git Hub Actions
    Monitoring & Observability:
    Data Dog
    Data & Messaging:
    PostgreSQL, Kafka, Redis
    Languages (as needed):
    Bash, Python, Type Script, Java Script

Requirements

  • 8+ years in Dev Ops, SRE, or infrastructure engineering.
  • Proven 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.
  • Demonstrated ownership of CI/CD systems and measurable improvement of DORA metrics.
  • Experience leading incident response processes and driving meaningful postmortem outcomes.
  • Strong understanding of distributed systems, event-driven architectures (Kafka), and database performance (PostgreSQL).
  • Proven ability to modernize legacy infrastructure and eliminate manual operational toil.
  • Track record of taking a scoped infrastructure project from an ambiguous starting point to production without needing daily direction.
  • Demonstrated ability to build trust across teams while raising the reliability bar.
Success Metrics
  • System Reliability:
    Maintain or exceed defined SLO/SLA targets with reduced incident frequency and duration.
  • Infrastructure Stability:
    Reduce production incidents caused by misconfiguration, manual processes, or infrastructure drift.
  • Operational Efficiency:
    Increase the percentage of infrastructure managed through code and automation.
  • Cost Optimization:
    Improve cloud cost efficiency without sacrificing reliability or performance.
Bonus Points (Nice to Have)
  • Experience coding applications
  • Experience operating high-throughput Kafka clusters (MSK or self-managed).
  • Strong background in database…
Position Requirements
10+ Years work experience
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