Lead DevOps Engineer

We are seeking a Senior DevOps Engineer with strong expertise in cloud infrastructure, container orchestration, and automation frameworks to join a team building advanced frameworks that support machine learning (ML) pipelines for video content and data extraction from unstructured sources (images, PDFs). This role focuses on automating CI/CD deployment processes, enhancing observability across distributed systems, and driving scalable cloud-native solutions using AWS, Kubernetes, and Terraform. The ideal candidate will be proficient in Go or Python, capable of leading engineers while remaining hands-on in designing and implementing infrastructure as code (IaC), monitoring, and deployment pipelines. Key Responsibilities • Lead and mentor junior and mid-level DevOps engineers • Automate deployment processes and create unified deployment solutions. • Collaborate with SRE teams to enhance observability and monitoring practices. • Explore and evaluate alternative cloud platforms, including potential private cloud migration. • Potentially contribute to development tasks depending on bandwidth. Required Skills & Experience • 5+ years of experience in DevOps engineering. • Strong expertise in: • AWS (cloud services, networking, IAM, cost optimization) • Kubernetes (cluster management, Helm, scaling, service mesh) • Terraform (IaC, modularization, state management) • Proficiency in Go or Python (for automation, scripting, or service development). • Ability to operate beyond traditional DevOps responsibilities, with a proactive and solution-driven approach. Preferred/Bonus Skills • Background in AI/ML workflows or data engineering pipelines. • Experience with large-scale public cloud implementations and hybrid/private cloud migration. • Familiarity with observability tools and practices (e.g., Prometheus, Grafana, ELK, Splunk)