senior manager, devops engineer

We are seeking a Senior Manager, DevOps Engineer who will be responsible for supporting a portfolio of AI/ML platforms and services. You will play a critical role in defining and implementing DevOps best practices, building robust CI/CD pipelines, and ensuring the security, reliability, and scalability of our AI infrastructure. Your expertise will help us accelerate the delivery of AI-powered solutions while maintaining the highest standards of operational excellence. 

ROLE RESPONSIBILITIES  

The Senior DevOps Engineer's responsibilities include but are not limited to: 

Infrastructure & Cloud Operations:

• Design, deploy, and manage AWS cloud infrastructure for AI/ML applications using Infrastructure as Code 

• Architect and maintain highly available, fault-tolerant systems using AWS services (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, ECR, etc.) 

• Implement auto-scaling strategies and optimize resource utilization for cost efficiency 

• Lead lifecycle management activities including upgrades, patches, capacity planning, and infrastructure retirement 

• Manage multi-environment deployments (dev, prod) with appropriate isolation and controls 

CI/CD & Automation: 

• Build and maintain sophisticated CI/CD pipelines using GitHub Actions for containerized microservices 

• Automate deployment processes for 50+ microservices across multiple environments 

• Implement GitOps practices and promote infrastructure/configuration as code 

• Develop automation scripts for operational tasks and deployment workflows 

• Manage Docker container builds and ECR repository lifecycle 

Security & Compliance: 

• Integrate security practices throughout the CI/CD pipeline (shift-left security) 

• Implement automated security scanning 

• Manage secrets and credentials using AWS Secrets Manager and secure CI/CD practices 

• Ensure compliance with enterprise security policies, tagging standards, and industry regulations 

• Monitor and respond to security incidents and vulnerabilities in a timely manner 

• Conduct security reviews of infrastructure and application architectures 

Monitoring & Reliability: 

• Implement comprehensive monitoring, logging, and alerting using Grafana, Dynatrace, and CloudWatch 

• Establish SLIs, SLOs for critical services 

• Participate in incident response, troubleshooting, and post-mortem analysis to identify root causes 

• Drive continuous improvement through metrics-driven insights and capacity planning 

• Optimize system performance through profiling, benchmarking, and tuning 

Collaboration & Leadership: 

• Work closely with AI/ML development teams to understand requirements and optimize deployment strategies 

• Provide technical guidance and mentorship on DevOps/MLOps best practices 

• Document infrastructure, runbooks, standard operating procedures, and architectural decisions 

• Contribute to technical design reviews and architectural decision-making 

• Foster a culture of automation, reliability, and continuous improvement 

BASIC QUALIFICATIONS ​ 

• BSc degree in Computer Science or Engineering is required. MSc is preferred. 

• 7+ years of hands-on experience deploying and managing enterprise software solutions in AWS or other cloud environments 

• Proven experience building and maintaining production-grade CI/CD pipelines (GitHub Actions, Jenkins, or similar) 

• Extensive AWS expertise with services including: 

• Compute: ECS Fargate, Lambda, EC2, EKS 

• Storage: S3, DynamoDB 

• Container: ECR 

• Security: IAM, Secrets Manager, KMS 

• Deep expertise with Infrastructure as Code using CloudFormation and/or Terraform 

• Production experience with Docker containerization and orchestration 

• Strong proficiency with Git version control and branching strategies 

• Scripting & Programming: Python (required), Bash, strong understanding of software development lifecycle 

• Monitoring & Observability: Hands-on experience with Grafana, Dynatrace, CloudWatch, or similar tools 

• Security Tools: Experience with SonarQube, Snyk, or similar security scanning tools 

• Configuration Management: Experience with automated configuration management approaches 

• Performance Optimization: Proven ability in performance testing, profiling, and optimization 

• Demonstrated ability to own complex systems end-to-end and manage production deployments 

• Strong analytical and troubleshooting skills with systematic problem-solving approach 

GENERAL SKILLS REQUIREMENTS 

•  Excellent communication skills - able to explain technical concepts to diverse audiences 

• Experience contributing to technical specifications and design documentation 

• Collaborative mindset with ability to work effectively across distributed teams 

• Self-motivated with strong bias for action and results 

• Commitment to quality, security, and operational excellence