Senior .NET Tech Lead — Azure, CI/CD & Angular

SR Talent Solution Inc

Houston (TX)

On-site

USD 130,000 - 190,000

Full time

2 days ago

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Job summary

SR Talent Solution Inc in Houston seeks an experienced Senior Software Engineering Lead to guide a team responsible for internal platforms behind crane dispatch, asset management, field service, and pricing. You will own delivery, sprint execution, code reviews, CI/CD, and releases.

The role blends hands-on coding (60%) with leadership (40%), involves Azure-hosted apps, REST integrations with Dynamics 365 and Salesforce, and close collaboration with architects and stakeholders to set technical

Qualifications

8+ years of professional software development experience.
2+ years leading a development team as a technical lead, team lead, or equivalent.
7+ years of hands-on experience with C# and .NET.
Strong experience with Angular.
Production experience building and hosting applications on Azure.
Proven experience building and running CI/CD and release pipelines.
Proficient with AI-assisted development tools and able to set team standards for review and testing of AI-generated code.
Experience running Agile sprints, with a working command of Scrum or a similar methodology.
Experience writing release communications for business audiences.
Strong written and verbal communication skills with non-technical stakeholders and leadership.
Ability to work in a fast-paced environment with shifting priorities.
Familiarity with React.
Familiarity with the Microsoft platform, including Power Apps and Power Automate.

Responsibilities

Lead a team of software developers. Set daily priorities, unblock work, and hold the team to consistent standards for code quality, testing, and documentation.
Run Agile sprints end to end: planning, standups, reviews, and retrospectives. Keep the backlog groomed and sprint commitments realistic.
Write user stories and technical tasks in Azure DevOps from discovery sessions with stakeholders.
Partner with the Principal Architect on architecture decisions and technical standards and turn those decisions into executable work.
Stay hands-on: build features, review code, and step into critical fixes.
Harden reliability and release discipline on critical internal platforms under active operational load, reducing production risk and single points of knowledge.
Use AI-assisted development tools in delivery and set the standards for how the team uses them, including review and testing of AI-generated code.
Make sure work is tested before it ships, with unit, integration, and regression coverage matched to the risk of the change.