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Flexera

Principal Engineer – AI-Native Engineering Lead

Flexera

. Establish and lead a small, highly autonomous engineering team combining experienced technical leadership, developers, and AI coding agents .

Posted 11/6/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in software engineering, technical leadership, and AI-assisted development workflows. Capable of translating business objectives into technical solutions while ensuring quality, security, and operational reliability.

Highest-signal resume keywords
Technical LeadershipSoftware Design And ArchitectureAI Coding Agents ExperienceProduction Software DeliveryCI/CD And Testing Strategies

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringProgramming SkillsTesting StrategiesSoftware ArchitectureProduction DeliveryOperational SupportAutomated Validation PipelinesTechnical Task DecompositionCross-Functional Team LeadershipAI-Assisted Workflows
Soft Skills
MentoringCollaborationProblem-Solving
Tools & Technologies
Claude CodeOpenAI CodexCI/CD ToolsVersion Control SystemsObservability ToolsDeployment Automation Tools
Industry Keywords
Engineering StandardsArchitectural PatternsCoding ConventionsDocumentation PracticesOperational Safeguards

About the role

Key responsibilities & impact
  • Establish and lead a small, highly autonomous engineering team combining experienced technical leadership, developers, and AI coding agents
  • Own technical architecture, design decisions, implementation strategy, and delivery outcomes
  • Translate business objectives and product requirements into pragmatic technical solutions
  • Balance delivery speed, reliability, security, scalability, and maintainability
  • Establish engineering standards, architectural patterns, coding conventions, and documentation practices
  • Use Claude Code, OpenAI Codex, and other AI engineering tools throughout the development lifecycle
  • Develop AI-assisted workflows for requirements analysis, code generation, testing, debugging, refactoring, code review, and documentation
  • Decompose work into bounded tasks for independent and parallel AI-agent execution
  • Deliver production-ready capabilities from problem definition through deployment and operational support
  • Collaborate with business stakeholders, product owners, users, and engineering teams
  • Establish observability, deployment automation, rollback procedures, and operational safeguards
  • Define quality strategies covering automated testing, code review, integration testing, and production validation
  • Establish guardrails for AI access to source code, credentials, production systems, customer data, and sensitive resources
  • Mentor two supporting engineers through pairing, code reviews, design discussions, and progressively challenging assignments
  • Share successful AI engineering practices with the broader engineering organization

Requirements

What you’ll need
  • Significant professional software engineering experience, typically 8+ years, with demonstrated technical leadership appropriate to a Principal or Staff+ engineer
  • Strong software design and architecture skills
  • Demonstrated experience delivering and operating production software end to end
  • Strong programming skills in at least one primary technology stack, with ability to work across application layers
  • Deep understanding of testing strategies, CI/CD, version control, observability, application security, and production troubleshooting
  • Practical experience using AI coding agents such as Claude Code, OpenAI Codex, or comparable tools in real engineering workflows
  • Ability to break ambiguous business problems into well-defined technical tasks and independently drive them to completion
  • Experience in software architecture, technical leadership, production delivery, and operational support
  • Experience building or leading small, autonomous, cross-functional engineering teams
  • Experience with agentic coding workflows, parallel AI task execution, repository-level instructions, and automated validation pipelines
  • Experience establishing internal developer platforms, reusable engineering templates, or AI-enabled development infrastructure
  • Experience improving delivery lead time, software quality, operational reliability, or engineering productivity through measurable changes

Benefits

Comp & perks
  • Equal opportunity employer
  • Workplace accommodations available upon request