Senior DevOps / Platform Reliability Engineer (AI Platform)

Location: East Coast, United States; remote role

Salary: Competitive compensation package; exact amount not specified

Company

hirify.global develops an intelligent process automation platform that improves customer experience operations and supports enterprise self-service and agent productivity.

What you will do

• Own and evolve CI/CD pipelines for microservices and agentic workloads using GitHub Actions and OIDC-based authentication.
• Provision infrastructure with Terraform and CloudFormation, and operate production EKS and Argo CD environments.
• Manage AWS networking, Cloudflare, CloudFront, API Gateway, load balancers, DNS, security controls, and multi-tenant platform isolation.
• Operate Aurora MySQL, Redis, S3, Kafka/MSK, Lambda, and event-driven workloads, including backups, point-in-time recovery, and multi-AZ disaster recovery.
• Build observability with Prometheus, Grafana, and OpenTelemetry, including telemetry for LLM and agentic systems.
• Design AI-native DevOps capabilities such as auto-remediation agents, AI-assisted incident analysis, MCP integrations, anomaly detection, and operational guardrails.

Requirements

• 5+ years of experience in DevOps, SRE, or Platform Engineering operating production systems on AWS.
• Strong experience with CI/CD, GitHub Actions, Terraform, production EKS, Kubernetes operations, and Argo CD.
• Hands-on AWS networking experience covering VPCs, subnets, routing, security groups, NACLs, Route 53, ACM, and load balancers.
• Experience with Aurora or RDS MySQL, Redis, S3, Kafka/MSK, Lambda, backups, migrations, lifecycle management, and disaster recovery.
• Strong observability and security experience with Prometheus, Grafana, OpenTelemetry, IAM, KMS, secrets management, vulnerability scanning, and software supply chain security.
• Comfortable working with Python, Bash, and Linux systems.

Nice to have

• Experience operating LLM or ML workloads in production, including LiteLLM, Bedrock, pgvector, prompt caching, or evaluation systems.
• Experience building MCP servers or deploying LangGraph or CrewAI agent frameworks in production.

Culture & Benefits

• Automation is preferred over repetitive operational toil.
• Small team with high ownership and responsibility for defining platform standards.
• Human review is maintained for risky AI-assisted actions, with blameless incident reviews and documented decisions.
• Flexible remote work from anywhere, with a co-working reimbursement of up to $200 per month.
• Health, dental, and vision benefits with 100% of employee premiums and 75%–80% of most dependent premiums covered.
• 401(k), paid parental leave, unlimited PTO, and home office support of up to $500 plus $100 per month for internet, phone, and related expenses.