Dot net developer

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Job Title : Senior Full Stack Developer (Dashboard Applications)

Experience : 7+ Years

Location : Gurgaon (Mandatory)

Duration : 6 to 9 Months Contract (Initial 6 Months Commitment Mandatory)

Start Date : 1st April (Immediate Joiners Preferred)

Work Mode : Hybrid (Work From Home + 1 Day/Week at Home Office in Gurgaon)

Work Schedule : 45 Hours/Week + Mandatory Weekend Availability (Saturday & Sunday)

About the Role :

We are hiring a highly skilled Full Stack Developer based out of Gurgaon to work directly with the leadership team of a Cybersecurity Product Company.

This role focuses on building advanced, high-performance dashboard applications to significantly enhance the company’s product capabilities.

This is a high-ownership, high-impact role, where the selected candidate will work closely with the founder/leadership and contribute directly to core product innovation.

Mandatory Skills :

React + TypeScript, Dashboard/Data Visualization (ECharts/D3.js), Node.js (Fastify), Kafka (real-time streaming), ClickHouse, PostgreSQL, Redis, Microservices Architecture, Performance Optimization, Gurgaon-based candidate with 7+ years experience.

Important Note (Strict Requirements) :

• Candidate must be based in Gurgaon (No remote-only candidates)
• Must be comfortable working on weekends (Sat & Sun)
• Must commit to minimum 6 months
• Must be available for in-person collaboration (1 day/week at home office)
• No compromise on the above requirements

Key Responsibilities :

• Design and develop scalable, real-time dashboard applications
• Build data visualization systems using modern frontend frameworks
• Work on end-to-end full stack development (UI to backend APIs)
• Integrate large-scale data pipelines and streaming systems
• Optimize dashboards for performance, usability, and responsiveness
• Collaborate directly with leadership to translate business needs into technical solutions
• Contribute to architecture decisions and system design

Required Technical Skills :

Frontend :

• React.js (18+)
• TypeScript
• TailwindCSS
• State Management (Zustand / TanStack Query)
• Data Visualization:
• Apache ECharts
• D3.js
• Leaflet.js (Maps)

Backend :

• Node.js (20 LTS)
• Fastify (preferred)
• REST API Development
• Prisma ORM

Data & Streaming :

• Apache Kafka / KafkaJS
• Apache Flink (or Kafka Streams)

Databases :

• ClickHouse (must have for analytics use cases)
• PostgreSQL
• Redis

Good to Have :

• Graph DB (Neo4j)
• Object Storage (MinIO)

Machine Learning (Nice to Have) :

• Python (FastAPI)
• Basic experience with:
• scikit-learn
• pandas / numpy
• Understanding of anomaly detection systems

DevOps & Infrastructure :

• Docker & Kubernetes
• Terraform
• Nginx
• Monitoring: Prometheus, Grafana
• Observability: OpenTelemetry
• Authentication: Keycloak / JWT

Testing & Quality :

• Unit & Integration Testing:
• Vitest / Jest
• Supertest
• E2E Testing:
• Playwright
• Performance Testing:
• k6

What We’re Looking For :

• Strong experience in building complex dashboards or analytics platforms
• Ability to work independently as a single contributor
• High ownership and accountability mindset
• Strong problem-solving and system design skills
• Someone who is practical, execution-focused, and reliable

Why Join :

• Direct collaboration with leadership
• Opportunity to build cutting-edge cybersecurity dashboards
• High-impact role with end-to-end ownership
• Flexible work setup (with meaningful in-person collaboration)

What you'll bring

Design, build, and maintain developer platform capabilities that improve day-to-day engineering workflows across teams.

• Own and evolve CI/CD pipelines and deployment workflows, improving speed, reliability, and feedback loops.
• Build internal tools and services (CLIs, automations, dashboards) that support developer productivity and operational excellence.
• Improve local development environments, including dependency management and consistent developer setup.
• Drive adoption of engineering standards (quality, security, performance, observability) through templates, guardrails, and documentation.
• Partner with teams to identify friction points and implement scalable improvements (including self-service tooling).
• Continuously improve documentation, onboarding material, and internal enablement content for developers

What you'll bring

Do you fit the profile? 

  Technical Proficiency:

• Strong hands-on experience with JavaScript/TypeScript and building modern web applications and tooling.
• Hands-on experience with Generative AI and Agentic AI technologies, including designing, building, integrating, and leveraging AI-powered solutions to enhance products, platforms, or engineering productivity.
• Solid backend experience (e.g., Node.js, or equivalent platform services experience) and comfort building APIs and integrations.
• Strong experience with CI/CD systems (e.g., GitHub Actions, Azure DevOps) and modern delivery practices.
• Familiarity with cloud platforms (Azure preferred) and containerized development (Docker/Kubernetes).
• Experience designing scalable developer tooling and platform patterns (templates, shared libraries).
• Strong understanding of software craftsmanship: Clean Code, SOLID principles, maintainability, and documentation.
• Experience with testing strategies (unit, integration, end-to-end) and quality automation.
• Exposure to observability concepts and tooling (metrics, logs, traces; e.g., Grafana/Kibana/Application Insights).

    Nice to Have:

• Experience with monorepos, build systems, and performance optimization for large front-end codebases.
• Experience with platform security practices (secrets management , dependency scanning, security).
• Experience with developer portals, internal documentation systems, and knowledge management practices.
• Familiarity with event-driven architecture and integration patterns.

Essential Soft Skills:

• Strong analytical and problem-solving skills; able to identify root causes and propose pragmatic solutions.
• Excellent communication skills; can explain technical topics clearly to diverse stakeholders.
• Comfortable collaborating in multicultural, globally distributed teams.
• Proactive mindset and strong ownership - you see platform gaps and take responsibility for improving them.
• Ability to balance long-term platform strategy with short-term delivery needs and developer pain points.
• Critical thinking and a proactive mindset when supporting internal stakeholders.

REVIEW CRITERIA:

MANDATORY:

• Strong Forward Deployed / Client-Facing Software Engineer / Integration / Product Support Engineer profiles
• 1–6 years of professional experience or strong internship/project work in software engineering.
• Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)
• Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly
• Experience working on API integrations, backend services, data pipelines, or workflow-based systems
• Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues
• Strong communication skills and proven ability to collaborate with product, engineering, and customer teams
• Willingness to travel frequently to global client sites for deployments and solution delivery
• B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)
• Product Company only

PREFERRED SKILLS:

• Exposure to cloud services, data integration, ETL/Reverse ETL, or workflow automation tools.
• Experience with React / frontend frameworks, low-code development, or building internal tools.
• Familiarity with AI/ML, GenAI tools, LLM-driven automation, or experience applying them to real use cases.

ROLE & RESPONSIBILITIES:

As a Forward Deployed Software Engineer (FDSE) at UnifyApps, you’ll work at the intersection of engineering, problem-solving, and customer impact. You’ll embed with enterprise clients, understand real-world problems, and design and implement solutions using the UnifyApps platform. This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

KEY RESPONSIBILITIES:

• Work with client and internal teams to understand complex business processes, legacy systems, and integration needs.
• Design, build, and deploy solutions using the UnifyApps platform across data, workflows, and GenAI/LLM use cases.
• Develop data pipelines, API integrations, and low-code apps to solve high-impact problems.
• Collaborate closely with UnifyApps’ product and engineering teams to shape platform capabilities through real deployments.
• Rapidly prototype, iterate, and deliver production-grade solutions with high ownership.
• Contribute to internal accelerators, templates, and best practices.

IDEAL CANDIDATE:

QUALIFICATIONS - REQUIRED:

• B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.
• 1–6 years of professional experience or strong internship/project work in software engineering.
• Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
• Strong foundation in data structures, algorithms, and system design.
• Excellent analytical and problem-solving skills.
• Strong communication and ability to work collaboratively.
• Willingness to travel frequently to client sites across the globe.

QUALIFICATIONS - PREFERRED:

• Exposure to data integration, APIs, cloud services, or workflow tools.
• Experience with React / frontend frameworks or low-code platforms.
• Familiarity with AI/ML concepts or GenAI tools.
• Prior internships in SaaS, enterprise tech, or consulting environments.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Expertise in backend programming with Node.js and MongoDB.
• Experience with React.js and redux.
• Material UI and 3rd party libraries.
• Experience with clean code writing practices like avoiding callback hell like promises, async.
• Thorough understanding of Node.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e.g., Immutable.js).
• Familiarity with RESTful APIs.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end builds pipelines and tools.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).

Responsibilities:

• Build Node.js APIs using microservices.
• Rewriting backend code with microservices architecture & Unit tests.
• Developing new user-facing features using React.js.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.

Skills:-

Asp.Net, .Net Core, Web API,ASP.NET MVC, ReactJS,Jquery,Javascript,HTML

Desired profile

• Good verbal & written communication
• Proactive
• Flexible to working hours
• Good in team work as well as individual contributor
• Must be able to contribute to productivity in short time

• Front-end skills (HTML5, CSS3, JavaScript, ES6+, Ajax);
• 3+ years working with React/Redux + Typescript front-end applications
• Must have experience technologies like Python, React, node.js, PostgreSQL, AWS
• Experience with centrally managed state (Redux) and React Router
• Experience with data structuring libraries (Immutable.js / Immer)
• Experience of TDD/BDD, QA/Test frameworks such as Selenium, load testing (Blazemeter), unit testing (Mocha/Chai/Jest) etc.
• Experience optimising the performance of front-end applications
• A good understanding of agile development practices and common methodologies
• Experience building responsive, cross browser compatibility websites and applications
• Experience of integrating with web services and APIs, including REST endpoints.
• Experience using code version control systems (GIT) and CI/CD.