• Observability & Monitoring — You will design and implement monitoring solutions that alert on symptoms rather than outages, giving us early warning before our customers are impacted. • Runbooks & Incident Response — You will create and maintain runbooks that document every action, turning findings into repeatable processes and eventually into automation. • Infrastructure Improvements — You will build and maintain our cloud infrastructure using Infrastructure-as-Code principles, collaborating with backend engineers to improve service reliability and reduce manual work. • On-Call (Business Hours) — You will participate in a business-hours on-call rotation aligned with the US timezone (roughly 9am-6pm EST/PST). • Engineering Excellence — You will help us build a culture of reliability that the whole team is proud of, championing automation, documentation, and continuous improvement.

• Maintain and enhance Ansible playbooks and roles • Manage AWS infrastructure using CloudFormation • Operate and scale Kubernetes clusters with KEDA-based event-driven autoscaling • Administer sharded MongoDB clusters and Elasticsearch databases • Manage RabbitMQ and Redis clusters • Maintain and improve monitoring stack (Nagios, ELK, CloudWatch, PagerDuty) • Implement and enforce security controls (SELinux, FIPS compliance, OSSEC, WAF) • Develop automation scripts in Python and Bash for operational tasks • Support CI/CD pipelines using Atlassian Bamboo/GitHub Actions • Participate in on-call rotation for production infrastructure support • Create and maintain baseline AMIs for rapid environment provisioning

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. In this role, you won’t just manage infrastructure; you will design and evolve the foundation that every product and engineer depends on. You will act as a force multiplier by eliminating operational friction, automating repetitive processes, strengthening system reliability, and building scalable infrastructure patterns that allow teams to deploy confidently and recover quickly. You are part architect, part reliability engineer, and part automation evangelist. Responsibilities - Conduct regular interviews with engineering teams to identify operational pain points in CI/CD, deployments, observability, and cloud environments and proactively eliminate them. - Design and 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. - Architect and optimize CI/CD pipelines to improve deployment frequency, reduce lead time, and increase confidence in releases. - Lead systemic reliability initiatives, including incident response improvements, root cause analysis practices, and postmortem frameworks. - 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. - Own 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. - Lead by example in incident management, risk mitigation, and operational excellence. - 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 (or equivalent) Monitoring & Observability: DataDog Data & Messaging: PostgreSQL, Kafka, Redis Languages (as needed): Bash, Python, TypeScript

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. In this role, you won’t just manage infrastructure; you will design and evolve the foundation that every product and engineer depends on. You will act as a force multiplier by eliminating operational friction, automating repetitive processes, strengthening system reliability, and building scalable infrastructure patterns that allow teams to deploy confidently and recover quickly. You are part architect, part reliability engineer, and part automation evangelist. Responsibilities - Conduct regular interviews with engineering teams to identify operational pain points in CI/CD, deployments, observability, and cloud environments and proactively eliminate them. - Design and 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. - Architect and optimize CI/CD pipelines to improve deployment frequency, reduce lead time, and increase confidence in releases. - Lead systemic reliability initiatives, including incident response improvements, root cause analysis practices, and postmortem frameworks. - 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. - Own 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. - Lead by example in incident management, risk mitigation, and operational excellence. - 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 (or equivalent) Monitoring & Observability: DataDog Data & Messaging: PostgreSQL, Kafka, Redis Languages (as needed): Bash, Python, TypeScript