Engineering Manager - Full Stack

Location : Hyderabad, India

Employment Type : Full-Time; Salaried

About Innovapptive

Innovapptive is an enterprise SaaS company building an AI-powered Connected Worker Platform for industrial organizations. Our platform connects frontline workers, back-office systems, and assets in real-time to drive safety, reliability, and operational productivity.

Leading global enterprises including Shell, Hess, Westlake Chemical, Kimberly-Clark, Scott Miracle-Gro, and Newmont Mining rely on Innovapptive to transform how work gets done across plants and field operations.

Our customers have achieved $50M+ EBITDA savings at a single enterprise, 10x improvement in frontline productivity, and 15 - 20% reductions in maintenance costs.

Innovapptive is recognized as a Leader in Frost & Sullivan's "Frost Radar 2025 - Augmented Connected Worker Platforms", with acknowledgments from Gartner and LNS Research, and is backed by Vista Equity Partners and Tiger Global Management.

With headquarters in Houston and an engineering center in Hyderabad, we have 300+ employees across the U.S., India, and ANZ and are on a strong trajectory toward $100M ARR.

The Role :

Innovapptive's Connected Worker Platform is scaling its multi-tier enterprise web and mobile applications while institutionalizing an AI-First Software Development Lifecycle (SDLC). The platform serves frontline workers across plants and field operations, demanding ultra-reliable, high-performance React Native/Angular interfaces and resilient Node.js microservices.

This role leads assigned Full Stack scrum teams (typically two to three) responsible for architecting, building, and operating core web, mobile, and backend microservices. You own the full delivery lifecycle : from release planning and AI-augmented developer workflows through telemetry, quality assurance, and production predictability. You work closely with Product, Design, and Engineering Operations to drive high-velocity engineering outcomes that enterprise customers trust.

What You Own :

- Full Stack engineering teams across mobile (React Native), web (Angular), and backend microservices (Node.js).

- End-to-end sprint delivery and roadmap commitments across assigned scrum teams, ensuring 90%+ on-time release predictability.

- AI-First execution model : embedding AI copilots (Cursor.AI, Bolt.AI, ChatGPT) into daily developer workflows for grooming, code generation, testing, and automated RCA.

- Engineering quality and reliability : continuous tracking of crash-free rates, defect density, test coverage, and telemetry-based regression via Sentry, LeakCanary, and CI pipelines.

- QA and automation pipelines : automated test execution using Testim, automated burndown dashboards, and telemetry streams integrated into CI/CD.

- Engineering governance & post-mortems : AI-assisted post-mortems, root cause analysis trends, tech debt management, and AI-generated design/test documentation.

- Hiring, performance management, and coaching for Tech Leads and Full Stack engineers to foster psychological safety, ownership, and high throughput.

You Must Have

- 10+ years in software engineering with 4+ years managing or leading engineering teams delivering enterprise SaaS products.

- Deep architectural and hands-on grasp of modern full-stack web and mobile stacks (React Native, Angular, Node.js, REST APIs).

- Practical experience embedding AI development and observability tools (ChatGPT, Cursor.AI, Bolt.AI, Testim, Sentry, LeakCanary, JIRA) into team workflows.

- Proven track record of high-velocity delivery in Agile/DevOps settings, maintaining 90%+ on-time release predictability across multiple scrum teams.

- Telemetry and metrics-driven approach : leveraging DORA metrics, defect density, crash-free rates, and automated burndown tracking to guide execution.

- Strong engineering standards : structured AI-assisted post-mortems, eval/test-driven development, documentation discipline, and production-grade reliability.

- Exceptional leadership and communication skills with a demonstrated ability to bridge executive strategy and hands-on engineering execution.

Nice to Have

- Experience modernizing enterprise SaaS products with AI features or integrating LLM orchestration into existing full-stack applications.

- Knowledge of industrial enterprise workflows (EAM, ERP integrations like SAP/Maximo) or field operation platforms.

- Cloud cost optimization and performance tuning for high-concurrency Node.js and mobile/web client architectures.

- Experience with MongoDB, event-driven architectures, or change-stream based data flows.

Tech Stack & Tools

- Frontend : React Native, Angular, TypeScript, HTML5/CSS3

- Backend : Node.js, RESTful APIs, Microservices architecture

- Infrastructure : AWS, Docker, GitLab CI/CD, MongoDB, SQL

- AI & Execution : Cursor.AI, Bolt.AI, ChatGPT, Testim

- Observability & Ops : Sentry, LeakCanary, JIRA, SonarQube

Compensation & Growth :

Reports to Director of Engineering Operations. Path to Sr. EM or platform leadership as full-stack velocity and AI integration scale horizontally across products.

What We Offer :

- Competitive compensation and equity tied to measurable impact on release predictability, quality, and performance.

- A platform to shape the core engineering delivery layer of a category-defining industrial SaaS company.

- Access to cutting-edge AI, full-stack, and observability toolchains for continuous learning and innovation.

Innovapptive does not accept and will not review unsolicited resumes from search firms.

Innovapptive is an equal opportunity employer and is committed to a diverse and inclusive workplace.