Senior DevOps Engineer, Infrastructure & Reliability Worth AI · Remote · US · DevOps & Release $145,118–$190,000 e 13d ago

Devopsroles

Orlando (FL)

Remote

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan

401(k) Retirement Plan

Remote work option

Job summary

Worth AI is seeking a Senior DevOps Engineer to join the Infrastructure team. The role focuses on building scalable, automated infrastructure with Terraform, Kubernetes (EKS or self‑managed), and secure networking. You will optimize CI/CD, improve observability with DataDog, and drive multi-region resilience.

You will own incident response, modernize legacy setups, and mentor teams to raise reliability. Remote-friendly with Orlando travel for Town Halls, and a strong emphasis on cost efficiency

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.
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.

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 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.

Skills

DevOps

SRE

Infrastructure engineering

Kubernetes

AWS

Terraform

CI/CD

PostgreSQL

Kafka

Tools

Kubernetes (EKS)

Terraform

AWS

DataDog

GitHub Actions

Kafka

Redis

PostgreSQL

Job description

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.

Technology Stack

Cloud & Infrastructure: AWS (EKS, RDS, MSK, S3, Lambda, IAM, VPC)
Containerization & Orchestration: Kubernetes, ArgoCD
Infrastructure-as-Code: Terraform
CI/CD: GitHub Actions
Monitoring & Observability: DataDog
Data & Messaging: PostgreSQL, Kafka, Redis
Languages (as needed): Bash, Python, TypeScript, JavaScript

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.

Benefits