Software Engineering Manager-Insights Application

Overview

Lead and coach the engineering team responsible for the Insights application while providing hands-on technical leadership across application development, cloud migration, delivery, production support, and reliability. Define the next-generation direction for a production web application built around .NET / C#, APIs, React / Redux, Azure services, AWS, and modern CI/CD practices.

What you'll do

• Lead and coach a team across backend, frontend, cloud, DevOps, production support, and release validation responsibilities.
• Provide hands-on technical leadership for the production web application environment built around .NET / C#, APIs, React / Redux, current Azure services, and modern CI/CD practices.
• Lead the team's cloud migration to AWS.
• Define the next-generation direction for the Insights application, including modernization, architecture, AWS target-state design, scalability, reliability, maintainability, and developer productivity with AI-assisted tooling such as Cursor.
• Own delivery execution across roadmap work, technical debt, operational improvements, incident response, release readiness, and production support.
• Partner with Product, Data Engineering, QA, DevOps, Support, and business stakeholders to translate priorities into technical plans, backlog decisions, acceptance criteria, and delivery outcomes.
• Improve engineering practices across code quality, review discipline, automated testing, observability, release management, incident learning, service-level objectives, and responsible use of AI coding tools including Cursor.
• Support transition and long-term ownership of complex or partner-built application components into full-time team accountability.
• Strengthen application reliability across multi-tenant architecture, customer access models, background processing, messaging, integrations, and data platform dependencies.
• Establish clear ownership, stable delivery rhythms, and accountability across application development and production support.
• Improve application understanding, documentation, reliability, and ease of operation and enhancement.
• Define modernization priorities, an Azure-to-AWS migration sequence, and team adoption of AI-assisted engineering including Cursor.
• Improve release predictability, incident management discipline, and quality validation across environments.
• Provide engineers with technical guidance, coaching, prioritization, and support for growth.

What you'll need

• Recent hands-on experience designing, building, reviewing, and operating production web applications; this is not a people-only management role.
• Strong technical background in .NET / C#, API development, React or comparable SPA frameworks, and modern web application architecture.
• Experience leading engineering teams through delivery planning, technical decision-making, production support, and release execution.
• Working knowledge of the current Azure production stack, including App Service, Service Bus, Azure SQL, Key Vault, Blob Storage, and Entra ID, or comparable services.
• Hands-on AWS experience to lead and execute the platform migration to AWS.
• Hands-on AWS experience with production application workloads, including EC2 / ECS / EKS / Lambda, RDS, S3, SQS / SNS, IAM, Secrets Manager, CloudWatch, and AWS-aligned CI/CD.
• Cloud migration or platform cutover experience.
• Practical experience with AI-assisted software development, including Cursor or a closely comparable AI coding assistant / IDE.
• Ability to apply AI-assisted development to design, coding, code review, testing, documentation, and incident analysis while keeping humans accountable for production quality.
• Experience with CI/CD, release engineering, environment management, and migration or improvement of build and deployment workflows.
• Ability to operate in a production environment, including incident management, root-cause analysis, observability, service health, and reliability improvement.
• Strong collaboration with Product or Product Owner functions, including backlog shaping, acceptance criteria, tradeoff decisions, and roadmap execution.
• Ability to coach engineers at all experience levels, create accountability, and balance hands-on technical guidance with people leadership.

Nice to have

• Experience with Power BI, embedded analytics, or other BI / reporting platforms.
• Deeper AWS architecture experience, including landing zones, networking, identity, cost management, or large-scale Azure-to-AWS application migration.
• Experience establishing team standards for AI-assisted development with Cursor, including prompt/review practices, security guardrails, and measuring productivity impact.
• Experience with multi-tenant architecture and hierarchical customer access models.
• Experience modernizing a large, long-lived frontend application, including framework and build-toolchain upgrades.
• Familiarity with warehousing, ETL, data engineering partnerships, or data platform adjacency.
• Experience with payments, billing integrations, SSO, identity federation, SOC 2, vertical SaaS, fitness, wellness, or multi-product platform environments.

Details

• Location: Hyderabad, India.