Dotnet Fullstack Developer

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Responsibilities

Technical Development & Delivery

• Lead the development and release process for assigned products and platform components.
• Design, develop, and maintain secure, scalable, and high-performing applications using .NET Core / .NET 6+.
• Develop modern front-end interfaces using JavaScript frameworks (React / Next.js) or Blazor.NET / WPF.
• Collaborate with developers to integrate user-facing elements with server-side logic and APIs.
• Build and maintain RESTful APIs, microservices, and backend services.

Product & Cross-Functional Collaboration

• Work closely with Product, QA, and DevOps teams to deliver new features and enhancements.
• Participate in technical discussions and product planning, helping prioritize development tasks and improvements.
• Act as a technical subject matter expert for relevant product modules when needed.

Database & Platform Support

• Work with Cosmos DB and SQL-based databases to support application functionality.
• Collaborate with DBAs to design and maintain database schemas, queries, and stored procedures.
• Support UAT and production environments, troubleshooting technical issues and ensuring system reliability.

Quality, Security & Performance

• Work with Quality Assurance teams to ensure the delivery of high-quality and reliable software.
• Implement secure coding practices and support vulnerability assessments and security audits.
• Monitor and optimize application and API performance.
• Contribute to logging, monitoring, and alerting mechanisms to support system observability.

Mentorship & Team Development

• Mentor and support junior developers and new team members.
• Promote best practices in coding, testing, and documentation across the engineering team.
• Contribute to continuous improvement of development standards and engineering processes.

Absolute Must have’s (essential requirements)

• Strong expertise in C# and .NET Core / .NET 6+ development.
• Experience with at least one of the following front-end technologies:
• Blazor.NET or WPF
• JavaScript frameworks such as React or Next.js
• Strong understanding of object-oriented programming, design patterns, and domain-driven design.
• Experience with SQL Server / PostgreSQL and Entity Framework Core.
• Familiarity with tools such as Syncfusion, Datatables, and AutoMapper.
• Experience building and integrating RESTful APIs and microservices.
• Proficiency with Git and CI/CD pipelines.
• Exposure to cloud platforms such as Azure or AWS.
• Strong problem-solving, debugging, and analytical skills.

Good to have (preferred/optional  requirements)

• Experience working with modular application frameworks such as ABP.IO.
• Understanding of payment systems, financial platforms, or transaction processing systems.
• Experience working in Agile / Scrum environments.
• Familiarity with DevOps practices, Docker containers, and Kubernetes.

Looking for a 5+ years experienced Senior Full-stack Engineer (Backend Heavy) for a research-focused, product-based, US-based Startup.

AI Assistant for Research using state-of-the-art language models (AI Agent for Academic Research)

At SciSpace, we're using language models to automate and streamline research workflows from start to finish. And the best part? We're 

already making waves in the industry, with a whopping 5 million users 

on board as of November 2025! Our users love us too, with a 40% 

MOM retention rate and 10% of them using our app more than once 

a week! We're growing by more than 50% every month, all thanks to 

our awesome users spreading the word (see it yourself on Twitter). Andwith almost weekly feature launches since our inception, we're 

constantly pushing the boundaries of what's possible. Our team of 

experts in design, frontend, fullstack engineering, and machine learning

are already in place, but we're always on the lookout for new talent to help us take things to the next level. Our user base is super engaged and always eager to provide feedback, making Scispace one of the most advanced applications of language models out there.

We are looking for insatiably curious, always learning SDE 2 Fullstack Engineers. You could get a chance to work on the most important and challenging problems at scale.

Responsibilities:

* Work in managing products as part of SciSpace product suite.

* Partner with product owners in designing software that becomes part of researchers’ lives

* Model real-world scenarios into code that can build the SciSpace platform

* Test code that you write and continuously improve practices at SciSpace

* Arrive at technology decisions after extensive debates with other engineers

* Manage large projects from conceptualisation, all the way through deployments

* Evolve an ecosystem of tools and libraries that make it possible for SciSpace to provide reliable, always-on, performant services to our users

* Partner with other engineers in developing an architecture that is resilient to changes in product requirements and usage

* Work on the user-interface side and deliver a snappy, enjoyable experience to your users

Our Ideal Candidate would:

* Strong grasp of one high-level language like Python, JavaScript, etc.

* Strong grasp of front-end HTML/CSS, non-trivial browser-side JavaScript

* General awareness of SQL and database design concepts

* Solid understanding of testing fundamentals

* Strong communication skills

* Should have prior experience in managing and executing technology products.

Bonus:

* Prior experience working with high-volume, always-available web applications

* Experience in ElasticSearch.

* Experience in distributed systems.

* Experience working with a Start-up is a plus point.

Role description:

We are looking for a LEAD- Fullstack with expertise and experience in designing and developing applications including new developments, enhancements, maintenance and support. The role involves continuous collaboration with team, partners.

Candidate description:

Should have:

• Passion for technology and financial domain with demonstrated ability to learn quickly
• Delivery focus with ability to take full ownership
• Strong commitment to quality and delivery
• Strong communication skills

Skills/Knowledge and experience:

• Object oriented design and development skill
• Webservices - Node JS/Express JS, Rest API
• Frontend –, React, Angular (Javascript and Typescript)
• Unix and Shell scripting
• SQL Proficiency, good to know MongoDB

Area of professional exposure (functional/technical skills) :

· Hands-on experience with Google Cloud Platform (GCP) Services (Data Flow/Cloud Run/Big Query/Cloud SQL Server/GCS etc.)

· Experience in deploying to GCP environments (Cloud Run/CaaS/OpenShift/Containerization)

· Experience with Continuous Integration/Continuous Delivery tools and pipelines – Tekton, Terraform and Jenkins

· Experience with Java/J2EE frameworks, Web development and REST APIs/microservices development (Spring Boot, Spring Cloud)

· Good exposure to GCP application developments.

· Hands-on experience with Angular (front-end development)

· Experience in using build tools like Gradle, Maven and Ant etc.

· Experience with GitHub or equivalent source control repositories

· Experience in developing data processing tasks using Spark/PySpark

· Good working knowledge of relational databases like MS SQL, Oracle etc.

Key Activities & Responsibilities:

• 2 - 3 years of hands on experience in development using Java
• In-depth of understanding of development process - Design, Development &Deployment
• Good understanding of Java JavaScript, HTML, CSS, JSON
• Experience in developing APIs and strong knowledge of API development framework like Spring Boot, Spring MVC
• Exposure to collaboration platform like Postman
• Good understanding of Databases like MySQL, MongoDB
• Knowledge of Web Service - SOAP, RESTful

• Good understanding of one of the frameworks - Angular / Node.js / jQuery /JavaScript
• Familiaritywith UI / UX Design
• Experiencein using development platforms like Eclipse / Visual Studio

• AWS
• Postgresql
• EC2 on AWS
• Angular
• Node
• Cognito
• and most importantly Serverless

• 5+years’ experience in progressive development or architect roles
• Very strong programming skills in one or more of the above languages
• Deep understanding of back end systems; AWS architectures and managed service ecosystems
• Good understanding with web/app design workflow including user research, user scenario, user persona, sitemap, wireframing, and mockups
• Design, develop and implement quality solutions to meet complex project requirements as per defined timelines
• Create Technical Design documents, understand technical designs and translate into the application requirements.
• Exercise independent judgment in evaluating alternative technical solutions
• Participate in code and design review process
• Write unit test cases for quality check of the deliverables
• Ability to work closely with others in a team environment as well as independently
• Proven ability to problem solve and troubleshoot
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
• Excellent English communication skills are required

• At least 4 years of experience programming in Python.
• Develop application code and modules for business and technical requirements.
• Tune up design for maintainability, scalability and efficiency.
• Resolve and troubleshoot problems and complex issues.
• Perform unit tests and fix bugs.
• Integrate best qualitative practices in design and development aspects of programs.
• Ability to mentor subordinates.
• Excellent communication skills.