Software Engineer-ASP.NET and Web Forms

Nestdigital; Ernakulam; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Nestdigital in India seeks an experienced Technical Project Manager or Engineering Manager to lead large fixed-bid software delivery. You will guide architecture, SDLC, Agile processes, and cross-functional teams across Product, Engineering, QA, DevOps, Security, and Customer groups.

The role emphasizes AI-enabled engineering practices, responsible AI governance, risk management, and strong financial acumen for budgeting and margins. Prior experience with Azure DevOps and MS Project is a plus.

Qualifications

• 12–18 years of experience, including at least 2 years in a Technical Project Manager or Engineering Manager role.
• Proven experience managing fixed-bid software development projects from planning through production.
• Strong technical background with .NET, Microservices, MS SQL Server, CI/CD, DevOps, and cloud-native delivery.
• Hands-on understanding of the complete SDLC, Agile delivery, software estimation, risk management, change management, and release management.
• Ability to drive technical execution by understanding architecture, dependencies, implementation plans, and delivery risks.
• Strong stakeholder management skills with the ability to collaborate across Product, Engineering, QA, DevOps, Security, and Customer teams.
• Experience with Azure DevOps, Microsoft Project, or equivalent project management tools.
• Proven experience leading engineering teams of 10+ members.
• Strong financial acumen, including effort estimation, resource planning, budget forecasting, utilization, and project margin management.
• Working knowledge of application security, secure SDLC, vulnerability management, and engineering governance.
• Hands-on experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, ChatGPT Enterprise, or equivalent to improve engineering productivity.
• Experience applying AI for software development activities such as code reviews, documentation, test case generation, root cause analysis, backlog refinement, and engineering automation.
• Strong understanding of Responsible AI, AI governance, data security, and best practices for the safe use of AI in software engineering.
• Ability to evaluate, adopt, and drive AI-enabled engineering practices across development teams while ensuring quality, security, and compliance.
• Experience in Banking, Payments, or Financial Services domain.
• Knowledge of Kubernetes, OpenShift, Kafka, Docker, and modern cloud platforms.
• Experience working in Product Engineering organizations
• Exposure in working on responding to RFPs and using AI assisted proposal creation.

Skills

Experience 12–18y

Fixed-bid projects

.NET

Microservices

MS SQL Server

CI/CD

DevOps

Cloud-native

SDLC

Agile delivery

Software estimation

Risk management

Change management

Release management

Technical execution

Architecture understanding

Stakeholder mgmt

Azure DevOps

Microsoft Project

Team leadership

Budget forecasting

Resource planning

Effort estimation

Project margin management

Application security

Secure SDLC

Vulnerability management

Engineering governance

AI-assisted engineering tools

AI for software development

Responsible AI

AI governance

Data security

AI-enabled engineering practices

Banking domain

Kubernetes

OpenShift

Kafka

Docker

Modern cloud platforms

Product Engineering

RFP responses

AI-assisted proposals

Tools

Azure DevOps

Microsoft Project

Kubernetes

OpenShift

Kafka

Docker

Job description

• 12 to 18years of experience, with at least 2 years in a Technical Project Manager or Engineering Manager role.
• Proven experience managing fixed-bid software development projects from planning through production.
• Strong technical background with experience in .NET, Microservices, MS SQL Server, CI/CD, DevOps, and cloud-native application delivery.
• Hands-on understanding of the complete SDLC, Agile delivery, software estimation, risk management, change management, and release management.
• Ability to drive technical execution by understanding architecture, dependencies, implementation plans, and delivery risks.
• Strong stakeholder management skills with the ability to collaborate across Product, Engineering, QA, DevOps, Security, and Customer teams.
• Experience with Azure DevOps, Microsoft Project, or equivalent project management tools.
• Proven experience leading engineering teams of 10 or more members.
• Strong financial acumen, including effort estimation, resource planning, budget forecasting, utilization, and project margin management.
• Working knowledge of application security, secure SDLC, vulnerability management, and engineering governance.
• Hands-on experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, ChatGPT Enterprise, or equivalent to improve engineering productivity.
• Experience applying AI for software development activities such as code reviews, documentation, test case generation, root cause analysis, backlog refinement, and engineering automation.
• Strong understanding of Responsible AI, AI governance, data security, and best practices for the safe use of AI in software engineering.
• Ability to evaluate, adopt, and drive AI-enabled engineering practices across development teams while ensuring quality, security, and compliance.

Desired Skill

• Experience in the Banking, Payments, or Financial Services domain.
• Knowledge of Kubernetes, OpenShift, Kafka, Docker, and modern cloud platforms.
• Experience working in Product Engineering organizations
• Exposure in working on responsing to RFPs and using AI assited proposal creation.

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