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Lead .Net Full Stack

Lead .Net Full Stack at Gradera AI Technologies · Remote only · 6 - 15 years · ₹15L - ₹50L / yr · Profitable · Remote only · Posted 26 Jun 2026

Gradera AI Technologies's logo

Lead .Net Full Stack

Sirisha Jonnada's profile picture
Posted by Sirisha Jonnada
6 - 15 yrs
₹15L - ₹50L / yr
Remote only
Skills
skill icon.NET
skill iconReact.js
TypeScript
Microservices
skill iconJavascript
skill iconGitHub
CI/CD

Our Core Full Stack

Front-End Engineering 

  • React for building complex, state-heavy interactive dashboards 
  • JavaScript (ES6+) and TypeScript for type-safe management of simulation data 
  • State management (Redux/Zustand) optimized for high-frequency data updates 

Back-End & Microservices 

  • .Net and Spring Boot for building high-scale, resilient microservices 
  • REST APIs for seamless communication between services and front-end consumers 
  • Microservices architecture and system integration patterns 

Engineering Excellence 

  • GitHub for version control and rigorous Code Reviews 
  • CI/CD pipelines, Docker, and Kubernetes for cloud-native deployment 

Key Responsibilities 

  • Low-Level Design (LLD): Convert high-level architectural blueprints into detailed technical designs, including class diagrams, sequence diagrams, and API specifications. 
  • Technical Mentoring: Lead and coach the engineering team through pair programming, technical 1-on-1s, and hands-on guidance to elevate overall team competency. 
  • Standards Enforcement: Ensure all code adheres to the defined engineering standards, SOLID principles, and design patterns established by the Architects. 
  • Code Quality & Review: Conduct comprehensive code reviews to maintain high quality, ensuring the team delivers clean, testable, and maintainable code. 
  • Technical Anchoring: Serve as the "go-to" expert for the squad to resolve complex technical blockers and provide clarity on implementation details. 
  • Hands-on Development: Direct implementation of critical and complex modules, setting the benchmark for performance and reliability. 
  • System Integration: Oversee the technical execution of integrations between full-stack applications and core data layers (Databricks/Neo4j). 
  • Delivery Governance: Ensure the squad meets sprint objectives by maintaining a high standard of execution and managing technical debt effectively. 

Preferred Qualifications 

  • 8 to 10 years of professional experience in full-stack software development. 
  • Proven track record in a Tech Lead capacity, with strong experience in creating Low-Level Designs. 
  • Expert-level proficiency in .Net, Spring Boot, and React. 
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Gradera AI Technologies

Founded :
2025
Type :
Product
Size :
20-100
Stage :
Profitable

About

Gradera delivers AI enterprise transformation through Software-Orchestrated Services and Neural IQ, deploying intelligent digital workers with governance.

Read more

Company social profiles

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Senior Full Stack Engineer (4 to 8 years)


About RunLoyal

RunLoyal is a fast-growing vertical SaaS and payments company headquartered in Atlanta, GA, building the operating system for the pet care industry — boarding, daycare, grooming, training, and dog parks. Our platform runs the daily operations of hundreds of real businesses, and our 2026 focus is scaling the product engine behind an expanding enterprise segment.


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The Role

This is not a sprint-pool position. You'll operate the way forward-deployed engineers do — dropped into a problem space and trusted to drive it from ambiguity to shipped. You'll be handed a strategic initiative (a new AI product build, a greenfield module, a flagship platform project), gather context directly from stakeholders and customers, set the technical direction, structure the work, and deliver with teammates — leading from the front.


You'll report to the Head of Engineering and work embedded with the Head of Product on new initiatives, in an independent lane with direct access to leadership. We operate AI-native: our newest product surfaces are being designed and built with agentic AI workflows at the core, and you'll help define how AI-native engineering works here — not just follow a playbook.


Honest framing: we're a fast-moving, founder-driven team in transition toward modern SaaS delivery practice. You'll have real autonomy and real accountability in equal measure. If you need a fully paved road, this isn't your role. If you've shipped meaningful things through ambiguity before — and enjoyed it — read on.


What You'll Own

1. Strategic build projects — end-to-end

Own flagship initiatives from first principles to production: architecture, delivery plan, execution with teammates, release, and post-release iteration. You're accountable for the outcome, not just the code — which means demoing early, cutting scope intelligently, and shipping working software on a rhythm.

2. Technical leadership from the front

Set the technical direction on your projects and bring teammates along through visible working practice — pairing, reviewing, and raising the bar rather than issuing instructions. Mentor by doing. Contribute to system design and architecture decisions across the platform, and push our engineering practices forward.

3. AI-augmented delivery — our default operating mode

Independently architect and deliver full projects using AI-augmented workflows: agentic coding (Claude Code or equivalent), spec-driven development, AI-led test generation, and structured context management. This is how the role works day-to-day, not an accelerator bolted on. You'll co-author our internal AI engineering playbooks and raise the bar for how the whole team builds.

4. Core engineering

Design and ship scalable Spring Boot microservices, RESTful APIs, and responsive frontends in Angular or React. Write efficient SQL, optimize JVM performance, own production issues on your surfaces end-to-end, and leave the codebase better documented than you found it.


Leadership & Agency — what we'll evaluate hardest

  • You lead from the front. You've set direction on projects and carried teammates with you — through working code and clear communication, not title or authority
  • High agency. You identify what's blocking the outcome and remove it yourself — whether it's code, process, or a conversation someone needs to have
  • Strong stakeholder muscle. You communicate clearly upward and outward — written updates, proactive demos, and comfort presenting to leadership and customers directly
  • Async-native. You work effectively across time zones with documentation and over-communication as defaults, not afterthoughts
  • Calm ownership under ambiguity. Handed a loosely defined problem, you structure it, sequence it, and start shipping


What You Bring

Must have


  • Significant professional software development experience with real ownership scar tissue — you've led projects, not just tickets. We care about evidence, not years
  • Strong hands-on Java and Spring Boot; solid microservices architecture and REST API design
  • Frontend experience with Angular or React
  • Experience with relational databases (MySQL/PostgreSQL) and SQL optimization; JVM fundamentals and backend performance
  • AI-native engineering (hard requirement). You already deliver work through AI-augmented workflows — agentic coding tools, prompt/context engineering, AI-driven testing — and can demonstrate the most complex thing you've shipped this way
  • Product-company experience: you've built for end users with daily stakes, and you think in outcomes
  • Strong debugging, analytical, and problem-solving skills; unit testing and code coverage discipline
  • Bachelor's degree in Computer Science or equivalent practical experience


Nice to have


  • Forward-deployed, consulting, or founding-engineer experience — dropped into a customer or problem space and shipped
  • AWS (EC2, ECS), Docker, CI/CD pipelines, Redis or similar caching
  • SaaS or multi-tenant systems; Golang exposure
  • DevOps and security best practices awareness


What You'll Gain

  • Ownership of flagship builds on a live, growing SaaS platform — your projects, your outcomes, visible to the whole company
  • Direct working partnership with the Head of Product and Head of Engineering
  • A defining role in how AI-native engineering is practiced at a product company that takes it seriously
  • Fast growth in a high-velocity startup with a clear product vision


How to Apply

Send the following — applications without all three will not be reviewed:


  1. Your project story. One page or less: a project you led end-to-end through significant ambiguity — what you shipped, how you led the team, and what measurably changed. Specifics over adjectives.
  2. Your AI workflow. A short description of how AI is embedded in your actual engineering workflow today — tools, techniques, and the most complex thing you've shipped with it.
  3. Your resume.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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