Senior Devops Engineer, Infrastructure & Reliability Worth AI Remote, Remote, US

Artha; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Life Insurance

Flexible Paid Time Off

9 paid Holidays

Family Leave

Remote

Hybrid work (for Orlando Associates)

Free Food & Snacks (Orlando)

Wellness Resources

Job summary

Worth AI is seeking an experienced Senior DevOps Engineer to join the Infrastructure team. This remote role focuses on hands-on work—writing Terraform, tuning Kubernetes workloads, automating manual tasks, and shipping infrastructure changes to production.

You will join a small platform team with an established roadmap, owning the Kubernetes platform, improving CI/CD, and driving secure, scalable, and observable systems across environments.

Qualifications

• 8+ years in DevOps, 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.

Responsibilities

• Implement scalable Infrastructure-as-Code patterns using 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 DataDog, 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.

Skills

DevOps leadership

Incident response

Cost optimization

Distributed systems

SRE practices

Tools

Terraform

Kubernetes

AWS

DataDog

Kafka

PostgreSQL

Job description

Remote, Remote, US

Full-time

About the Job

Worth AI, a leader in the computer software industry, is looking for a Senior DevOps 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 DataDog, 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.

Requirements

• 8+ years in DevOps, 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 performance tuning (PostgreSQL, Redis).
• Experience implementing autoscaling strategies for high‑traffic systems.
• Familiarity with service mesh technologies.
• Experience building internal developer platforms (IDP).
• Background in security best practices (zero‑trust networking, policy‑as‑code).
• Experience with multi‑region or globally distributed systems.
• Experience introducing platform‑wide reliability frameworks (SLOs, error budgets, chaos testing).

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

• Life Insurance
• Flexible Paid Time Off
• 9 paid Holidays
• Family Leave
• Remote
• Hybrid work (for Orlando Associates)
• Free Food & Snacks (Orlando)
• Wellness Resources