Senior Engineering Manager

insightsoftware; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

insightsoftware is seeking an experienced Senior Engineering Manager to lead multiple engineering teams in Hyderabad. This hands-on role allocates roughly 50% of time to direct technical contributions and 50% to team management and strategic initiatives.

The ideal candidate brings 15+ years in enterprise software and 5+ years of people leadership, with strong C#/.NET, AWS, and API integration experience across ERP systems such as SAP, Oracle, and JDE.

Qualifications

• 15+ years of enterprise software engineering experience.
• 5+ years of people management experience leading and coaching software engineering teams.
• Hands-on experience with CI/CD pipelines, Git workflows, and DevOps practices.
• Experience with AI-assisted development tools and practices.
• Strong hands-on experience in C#/.NET/Web/Desktop/SAAS development and cloud platforms.

Responsibilities

• Lead and mentor engineering teams across multiple platforms (web services, desktop, SaaS).
• Balance technical contributions with team leadership and strategic initiatives.
• Drive architecture, standards, and integration patterns across ERP and external systems.
• Collaborate with product, architecture, and leadership to translate roadmaps into delivery plans.

Skills

Technical leadership

Communication

Mentoring

Problem solving

Tools

AWS

Git

CI/CD

ASP.NET Core

C#

Job description

We are seeking an experienced Senior Engineering Manager to lead a couple of engineering teams. This is a hands-on technical leadership role where you will spend approximately 50% of your time on direct technical contributions while dedicating 50% to team management and strategic initiatives.

Key Responsibilities

• Leading and developing a team of engineers responsible for .NET services in AWS hosted web applications and Windows desktop applications
• Ensuring a AI first approach to all development tasks and driving early adoption of new AI innovations in the software engineering space.
• Establish and maintain integration best practices, coding standards, and architectural patterns across the engineering team using C#, ASP.NET Core, react and AWS.
• Leading integration strategy between leading ERP systems (SAP, Oracle, JDE) and external systems via APIs, RFC/BAPI, OData, SOAP, OAuth2, and related technologies.
• Establishing secure, scalable integration patterns across ERP and custom platforms.
• Partnering with product, architecture, and business leadership to translate strategic objectives into technical roadmaps and delivery plans.
• Mentoring senior engineers and engineering managers while raising the technical bar across teams.

Qualifications:

• Should have 15+ years of enterprise software engineering experience, having worked on ERP Systems (Oracle, JDE)
• You have 5+ years of people management experience leading and coaching software engineering teams.
• Hands-on experience with CI/CD pipelines, Git workflows, and DevOps practices
• Experience/ Familiarity with AI-assisted development tools and practices
• Should have significant hands-on experience in C#/.NET /Web/Desktop/Saas development and cloud platforms
• Proven ability to balance technical contributions with team leadership responsibilities
• Strong communication skills with both technical and non-technical stakeholders
• Experience working in complex, multi-system enterprise environments with interdependent systems
• Should have demonstrated ownership of high-impact, cross-functional technical and organizational decisions.

Technical Skills:

• Advanced proficiency in C#, .NET, ASP.NET Core, and modern web technologies, with experience building scalable, high-performance services and APIs.
• Proven experience developing and deploying enterprise-grade software applications in cloud environments, particularly AWS.
• Strong understanding of enterprise authentication, authorization, security principles, and secure system integration patterns.
• Hands-on experience applying AI-first development practices, including the effective use of AI-assisted development tools to improve engineering productivity, code quality, and delivery.
• Strong understanding of CI/CD pipelines, Git-based development workflows, DevOps practices, and modern software engineering and delivery methodologies.