Tech Lead AWS DevOps Engineer (AI)

TL;DR

Tech Lead AWS DevOps Engineer (AI): Modernizing and scaling a global digital health SaaS platform by evolving cloud, ML, and Kubernetes infrastructure with an accent on reliability, automation, cost efficiency, and operational excellence. Focus on hands-on work with modern AWS stack, ML platforms, CI/CD tooling, and providing technical mentorship to mid-level DevOps engineers.

Location: Hybrid, Plovdiv, Bulgaria

Company

hirify.global, a leading software and digital engineering services company, creates durable technical solutions for digital transformation at scale, focusing on specialized software businesses and technology consulting.

What you will do

• Manage and enhance CI/CD pipelines for application and ML deployment workflows.
• Lead operations for multi-tenant SaaS workloads on AWS, ensuring scalability, high availability, and cost efficiency.
• Build, maintain, and automate infrastructure for production, data, and AI/ML workloads using IaC (AWS CDK or Terraform).
• Own incident response, postmortems, and operational runbooks to improve system reliability.
• Monitor and optimize cloud usage, including GPU and compute clusters, for cost control and performance.
• Develop monitoring, alerting, observability, and security best practices, collaborating across engineering and data science teams.

Requirements

• 7+ years of experience in DevOps/CloudOps/SRE.
• Expertise in Infrastructure as Code (AWS CDK) and advanced CI/CD pipelines (GitHub Actions, ArgoCD).
• Hands-on experience with Amazon EKS and deep operational knowledge of AWS services (Fargate, EC2, S3, RDS, Lambda, IAM, CloudWatch, CloudTrail).
• Strong troubleshooting skills across infrastructure, pipelines, and observability (Splunk, Grafana, OpenTelemetry).
• Understanding of FinOps principles, cost monitoring, and right-sizing in AWS, with familiarity with GPU workloads.
• Excellent spoken and written English language skills, strong collaboration and mentoring abilities.

Nice to have

• Subject Matter Expertise in AWS, EKS, or Infrastructure as Code.
• Working experience with AI/ML platforms such as AWS SageMaker, Kubeflow, or MLflow.
• Knowledge of MongoDB operations and performance optimization.
• Familiarity with Projen, Helm charts, and Kubernetes manifests.
• Awareness of regulatory compliance frameworks (SOC 2, ISO 27001, NIST, HIPAA).

Culture & Benefits

• Opportunity to work on impactful, global projects for recognizable brands.
• Commitment to diversity, equity, and inclusion, fostering an inspiring workplace.
• Culture of openness, trust, and empowerment through latest technology.