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Salary
≈ $11k – $26k per year (Estimated)
Location
Hybrid (Pune, India)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 16, 2026.

Overview
Company
Impact
Profile match
A global strategic tech innovation consulting company with locations in Dallas, Phoenix, Boise, Argentina, and India. Click here to learn more!

We at IMRIEL (An Allata Company) have cultivated an exceptional environment with advanced technologies and driven by a culture of continuous learning, collaboration, and engineering excellence. We are looking for a smart, passionate, and analytical Application Support Engineer (L2/L3) who thrives on solving complex problems, optimizing high-performing systems, and maintaining production resilience for enterprise-grade applications.

If you are energized by deep technical troubleshooting, modern cloud architecture, and continuously sharpening your skills with cutting-edge engineering tools, this opportunity is for you.

Experience: 4 to 8 years.

Location: Pune

Key Responsibilities:

  • L2/L3 Support & Multi-Project Triage: Support and ownincident triage, root-cause analysis (RCA), log analysis, and defect resolution across multiple concurrent client projects, APIs, microservices, and Azure cloud infrastructure.

  • .NET & Frontend Engineering:Maintainand enhance backend APIs and web applications built with .NET 8/7/6, C#, ASP.NET Core, EF Core, and modern frontend frameworks (Angular or React).

  • AI-Assisted Development (AIED):Leverage AI tools (GitHub Copilot, Claude, Cursor) to accelerate debugging, code refactoring, log analysis, automated testing, and RCA documentation.

  • Performance Tuning & Observability:OptimizeSQL Server queries, execution plans, indexing, and caching; monitor application health using App Insights, New Relic, or ELK.

  • Cloud, DevOps & Containers:Support Azure services (App Services, Functions, Key Vault, Service Bus), maintainAzure DevOps / GitHub ActionsCI/CD pipelines, and support Docker/Kubernetescontainer deployments.

  • Operations, Security & Mentorship:Adhere to ITSM/SLA standards using Helpdesk tools, enforce OWASP security and OAuth 2.0 practices, maintainrunbooks/SOPs, and mentor junior engineers.

What you need:

Basic Skills & Qualifications

  • Experience & Support: 4 to 8 years in .NET development/L2-L3 support covering SLA management, incident triage, log analysis, RCA, and managing support across multiple parallel project workstreams.

  • Core Tech Stack: C#, .NET 8/7/6, ASP.NET Core, Web API, Entity Framework Core, LINQ, and modern frontend frameworks (Angular or React) with TypeScript, HTML5, and CSS3.

  • Database Mastery: SQL Server/T-SQL expertise, including query tuning, indexing, stored procedures, and execution plan analysis.

  • Architecture & Clean Code: Strong understanding of OOP, SOLID principles, Clean Architecture, and secure coding practices (OWASP, OAuth 2.0, OpenID Connect).

  • Cloud & DevOps: Experience with Microsoft Azure (App Services, Functions, Key Vault, Service Bus), CI/CD pipelines (Azure DevOps/GitHub Actions), Git, Docker, and Kubernetes basics.

  • Observability & AI Tools: Hands-on experience with monitoring platforms (App Insights, New Relic, ELK) and AI-assisted engineering tools (GitHub Copilot, Claude, Cursor).

  • Soft Skills & Process: Excellent communication skills, active participation in Agile ceremonies, experience mentoring junior engineers, and readiness for US-aligned night shifts.

Good to Have

  • Microservices, Domain-Driven Design (DDD), CQRS, and event-driven architecture.

  • Redis, RabbitMQ, Kafka, or NoSQL (MongoDB).

  • Infrastructure as Code (Terraform/Bicep) and SRE deployment strategies (Blue/Green, Canary).

  • Active Azure, AWS, or GCP certifications.

Personal Attributes

  • Multi-Tasking & Ownership: Strong ability to prioritize, context-switch seamlessly, and maintain strict SLAs across multiple live application environments simultaneously.

  • Resilience & Growth: Strong accountability for production uptime, analytical troubleshooting, and eagerness to adopt modern AI tools and engineering practices.

  • Intellectual curiosity and willingness to adopt new tools, technologies, frameworks, and engineering practices.

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