Senior Technical Lead – DevOps, Python, Kubernetes , Agentic AI Workflows

About the Role

We are seeking a Senior Technical Lead with deep expertise in Dev Ops, Site Reliability Engineering (SRE), Kubernetes, and Python automation to help drive scalable infrastructure, platform reliability, and modern engineering practices. This role will lead the design and implementation of cloud-native solutions, CI/CD automation, observability initiatives, and next-generation agentic AI workflows across enterprise platforms.

The ideal candidate has strong hands-on experience with Git Hub Actions, Kubernetes, Python development, Azure platforms, and infrastructure automation
, combined with a passion for improving developer productivity, platform stability, and operational excellence.

• Design, implement, and maintain scalable Dev Ops and SRE solutions supporting mission-critical applications.
• Build and optimize CI/CD pipelines using Git Hub Actions and modern automation practices.
• Develop automation frameworks and operational tooling using Python and Bash scripting
  .
• Manage and optimize Kubernetes environments including deployment strategies, scaling, configuration management, and cluster operations.
• Implement and support agent-based workflows across Git Hub and Azure ecosystems.
• Establish best practices for API lifecycle management, including:
• OpenAPI specifications
• Semantic versioning
• Drive platform governance through policy enforcement, compliance controls, and operational standards.
• Integrate observability and monitoring capabilities using Datadog or similar platforms.
• Collaborate with software engineering, cloud, security, and platform teams to improve reliability and operational efficiency.
• Lead technical initiatives, architectural discussions, and platform modernization efforts.

• Python Development & Automation

• Site Reliability Engineering (SRE)
• Git Hub Actions
• Bash Scripting
• Infrastructure Automation
• API Management & OpenAPI Standards
• Semantic Versioning
• Observability & Monitoring Solutions (Datadog or similar)
• Governance, Compliance, and Policy Enforcement

• Experience with Agentic AI workflows and AI-driven automation frameworks.
• Knowledge of cloud-native architecture and platform engineering principles.
• Understanding of reliability engineering practices, SLIs, SLOs, and incident management.
• Familiarity with security, compliance, and governance frameworks in cloud environments.

• Work on cutting-edge cloud and platform engineering initiatives.
• Build scalable automation and AI-driven operational solutions.
• Collaborate with highly skilled engineering teams.
• Influence architecture, reliability, and platform strategy at scale.
• Opportunity to lead modernization efforts across enterprise technology environments.

Pay Range Minimum: $78000/year

Pay Range Maximum: $115000 /year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to  for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life,…