company_site
Senior/Lead DevOps + MLOps Engineer
Luxoft
Gurugram, IND
Full-time
Lead · 8+ years experience
Onsite
Discovered 2 weeks ago
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores
Key Skills for This Role
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores
Full Job Posting
Responsibilities
- Design, build, and operate a shared AWS cloud platform that supports both traditional services and agentic AI workloads. • Own and evolve Infrastructure as Code (IaC) using Terraform, ensuring consistency, security, and repeatability across environments. • Extend existing infrastructure to support Enterprise-grade Agentic AI systems, including: o Execution runtimes for autonomous and semi-autonomous agents o Secure access to data, services, and APIs o Platform-level guardrails for safety, governance, and cost control • Build platform abstractions, templates, and tooling that enable teams to safely consume agentic capabilities. • Support and integrate agentic SDLC tools and processes, including AI-assisted development, testing, and release automation. • Develop and maintain CI/CD pipelines for both traditional applications and AI-driven components. • Implement platform-level observability (metrics, logs, traces) across services and agent workloads. • Enforce security and compliance best practices (IAM, secrets management, encryption, least privilege). • Collaborate closely with application, AI/ML, and security teams to improve developer experience and platform reliability. • Act as a technical leader in architecture discussions, platform standards, and operational readiness.
- Design, build, and operate a shared AWS cloud platform that supports both traditional services and agentic AI workloads.
- Own and evolve Infrastructure as Code (IaC) using Terraform, ensuring consistency, security, and repeatability across environments.
- Extend existing infrastructure to support Enterprise-grade Agentic AI systems, including:
- o Execution runtimes for autonomous and semi-autonomous agents
- o Secure access to data, services, and APIs
- o Platform-level guardrails for safety, governance, and cost control
- Build platform abstractions, templates, and tooling that enable teams to safely consume agentic capabilities.
- Support and integrate agentic SDLC tools and processes, including AI-assisted development, testing, and release automation.
- Develop and maintain CI/CD pipelines for both traditional applications and AI-driven components.
- Implement platform-level observability (metrics, logs, traces) across services and agent workloads.
- Enforce security and compliance best practices (IAM, secrets management, encryption, least privilege).
- Collaborate closely with application, AI/ML, and security teams to improve developer experience and platform reliability.
- Act as a technical leader in architecture discussions, platform standards, and operational readiness.
Qualifications
- Must have
Preferred Qualifications
- 8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores
- Experience designing internal developer platforms (IDPs).
- Knowledge of policy-as-code and governance frameworks (OPA, SCPs, tagging strategies).
- AWS certifications (Solutions Architect, DevOps Engineer).
- Experience operating platforms at enterprise scale or in regulated environments.
About Luxoft
Technology10,001+Founded 2000
Global IT services and consulting company
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Luxoft
Functional CRM Analyst
Abu Dhabi, UAE
Discovered TodayFull-time
Enterprise CRM Architect (Engagement Lead)
Abu Dhabi, UAE
Discovered TodayFull-time
Technical CRM Analyst
Abu Dhabi, UAE
Discovered TodayFull-time
Murex Market Risk Consultant
Pune, IND
Discovered TodayFull-time
Murex Market Risk Consultant
Gurugram, IND
Discovered TodayFull-time
Murex Market Risk Consultant
Bengaluru, IND
Discovered TodayFull-time
Delivery Manager (with Business Analyst exp)
Pune, IND
Discovered TodayFull-time
Calypso Business Analyst - Collateral
Sydney, AUS
Discovered TodayFull-time