Sr Systems Engineer ; DevOps, Agentic AI

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Job Summary

Performs advanced systems and infrastructure engineering functions, including planning, designing, and implementing cloud and on-premise platform solutions. This includes container orchestration (Kubernetes/Open Shift), servers, storage, networking, and backup solutions.

Leads the design and implementation of highly available, scalable, and resilient infrastructure aligned with enterprise architecture standards, including multi-region deployments and disaster recovery strategies. Develops and maintains Infrastructure as Code ( IaC ) and Configuration as Code to automate the provisioning and management of infrastructure and application platforms.

This role blends systems engineering, software development, Dev Ops practices, and emerging AI-enabled automation capabilities to deliver reliable, scalable, and intelligent solutions across the enterprise.

Primary Activities and Responsibilities

Design, implement, and manage enterprise Kubernetes/Open Shift platforms with a focus on resiliency, scalability, and operational efficiency

Define and maintain platform standards, including lifecycle management, patching, upgrades, and policy enforcement

Engineer infrastructure and operational workflows as code, driving automation, self-healing, and scalability (using tools like Terraform, Kubernetes Operators, etc .)

Develop, maintain, and evolve internal platforms and tools to simplify deployment, monitoring, and operational health, improving the experience for application development teams.

Collaborate across teams ( Mid Tier , Dev, Security) to deliver secure, performant, and highly-available systems.

Cloud, Dev Ops & Automation

Design and implement CI/CD pipelines using tools such as Jenkins

Support Git Ops deployment models leveraging tools such as ArgoCD

Develop Infrastructure as Code (Terraform) and Configuration as Code (Ansible) to automate provisioning and management

Automate installation, configuration, and lifecycle management of Kubernetes and supporting infrastructure

Implement monitoring, logging, and reporting to ensure system health and performance

Software Engineering & Developer Enablement

Develop and maintain automation tools, services, and APIs using Java and/or Python

Build scripts and reusable automation to improve platform reliability and developer productivity

Collaborate with development teams to enable efficient application deployment and integration

Apply software engineering best practices, including modular design, testing, and version control

AI-Enabled Engineering & Intelligent Automation

Leverage AI-assisted development tools to accelerate engineering workflows and improve productivity

Apply prompt engineering techniques to create effective, repeatable interactions with AI tools for automation and problem solving

Contribute to development and reuse of standardized AI “skills” or prompt patterns for engineering tasks

Demonstrate familiarity with agentic AI concepts, including multi-step workflows driven by AI agents and tool integration

Understand how external tools and services can be integrated into AI-driven workflows (e.g., MCP-style tool integration and context sharing)

Evaluate opportunities to incorporate AI-driven automation into infrastructure and Dev Ops processes

Lead or contribute to infrastructure design aligned with enterprise architecture, including high availability and disaster recovery

Establish project milestones and drive execution to meet time, cost, and quality objectives

Analyze, design, and implement solutions in complex and evolving…