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Open nowPosted yesterday

Senior Software Engineer | .Net Developer

Ingram Micro387 open roles

Where
Chennai, India
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Your applicationOpen nowSenior Software Engineer | .Net DeveloperIngram Micro · Chennai, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Ingram Micro's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Ingram Micro postings stay open a median of 40 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted yesterday

Ingram Micro median: 40 days open

The posting

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description:

About Role: Ingram Micro is seeking a Lead Software Engineer to drive the development, optimization, and delivery of scalable, secure, and high-performance enterprise applications across our full stack. In this role, you will be a hands-on technical leader -owning end-to-end features, mentoring mid-level engineers, and collaborating with cross-functional teams to build next-generation logistics and platform services.

While working primarily with C#, PostgreSQL, React, and Google Cloud Platform (GCP), you will also play a key role in stabilizing our critical production support systems, integrating modern AI capabilities.

Your Role: Technical Leadership & Feature Ownership

  • Team Mentorship: Lead by example through rigorous code reviews, technical guidance, and onboarding of junior to mid-level engineers within an Agile environment.
  • Full-Stack Development: Write clean, maintainable, and highly optimized code across the full stack—developing robust microservices and APIs in C# / .NET, and rich, dynamic frontends using React.
  • AI Innovation: Explore and integrate generative AI capabilities using Google Gemini to automate workflows, optimize data intelligence, and enhance user experiences.
  • Production Stabilization: Actively participate in stabilizing and optimizing L1 and L3 production support workflows. Troubleshoot complex, high-priority issues across frontends, APIs, and cloud infrastructure to reduce downtime.
  • Platform Innovation: Build and enhance self-serve applications, API gateways, and tenant onboarding frameworks that allow independent user management and seamless customer adoption.
  • DevOps & Cloud Practices: Leverage GCP services (e.g., Compute Engine, GKE, Cloud SQL, Cloud Run) and help build/maintain robust CI/CD pipelines, automated testing, and environment monitoring tools.
  • Domain Alignment: Apply domain insights into ITAD and reverse logistics workflows to optimize asset lifecycle management platforms. Architecture & Design: Collaborate with Principal Architects to design and build scalable, multi-tenant enterprise applications, ensuring code quality, security, and high performance.

What You Bring to the Role:

  • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Experience: 5 to 8+ years of professional software engineering experience, with a proven track record in a senior or aspiring lead capacity.
  • Core Full-Stack Tech Stack: Strong, hands-on experience using C# (.NET Core/.NET), PostgreSQL Server, and React.
  • Cloud Infrastructure: Practical experience building and deploying cloud-native applications within Google Cloud Platform (GCP).
  • System Reliability: Direct experience troubleshooting live production issues and working closely with L1/L3 support groups to improve system uptime and resolution frameworks.
  • Modern Architecture: Understanding of microservices, RESTful API design, multi-tenant patterns, and building self-serve user workflows.
  • CI/CD & DevOps: Practical experience with Git-based CI/CD pipelines (e.g., GitLab, GitHub Actions, or GCP Cloud Build) and containerization tools (Docker/Kubernetes).
  • Pluses: Hands-on experience or familiarity with the Google Gemini API (or other LLMs/Generative AI tooling)
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