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Senior/Lead DevOps + MLOps Engineer
Luxoft
Bengaluru, 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
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