Dotnet 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.

About Simprosys InfoMedia:

Simprosys is a diverse team of E-commerce enthusiasts with a simple yet powerful goal of empowering E-commerce merchants with easily adaptable product listings’ and Ad management solutions. 

Our crew consists of budding techies developers who build and maintain the technological interventions to automate our product listing and ad management solutions. Support executives who are digital marketers themselves. Passionate designers with exceptional UI designing, motion graphics, animation, and video editing skills. Our marketing team consists of versatile content creators and brand strategists. 

Be a part of our E-commerce enthusiasts crew.

Job Title: Sr. Python Developer

Location: Ahmedabad (Onsite)

Skill Set: Python, JavaScript, Python frameworks (Flask, Django, Django Rest Framework), AWS, Data Science, Machine Learning.

 Responsibilities:

1. Develop and maintain Python applications, using frameworks like Flask or Django to create and manage APIs and web services.
2. Integrate various data sources and databases, including SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) systems, into a unified solution.
3. Model data for reporting and analysis, leveraging libraries like NumPy, Pandas, and Matplotlib to provide insights and communicate results to stakeholders.
4. Utilize AWS services, such as DynamoDB and Lambda, to build and deploy efficient, cloud-based solutions.
5. Manage code versions with GIT, ensuring effective tracking and collaborative development practices.
6. Employ strong debugging and optimization skills to ensure high performance and resolve issues promptly.

Requirements:

1. Strong knowledge and hands-on experience with Python, including its standard libraries, toolkits, and APIs.
2. Experience with web frameworks like Flask or Django, and familiarity with REST framework principles for web services.
3. Proficiency in database structures, with practical experience in SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases.
4. Experience with cloud platforms, especially AWS, and knowledge of services like DynamoDB and Lambda.
5. Skilled in Python libraries for data analysis, such as NumPy, Pandas, and Matplotlib, with an understanding of big data frameworks.
6. Excellent analytical and problem-solving skills, capable of debugging and resolving complex issues efficiently.
7. Strong grasp of data structures and algorithms, crucial for building efficient applications.
8. Thoroughly understand version control systems, particularly GIT, for effective code management and collaboration.

Looking for candidates only with tier 1 colleges OR have experience in a product-based company.

Desired Skills :

● Experience with data modeling and SQL/NoSQL databases

● Experience with distributed systems and microservices

● Good experience in working with any of Java/SpringBoot, GoLang or NodeJS

● Excellent problem solving and debugging skills

● Passionate about the experience of software engineering as much as the output

● A strong sense of ownership

● Ability to communicate your ideas and approach to solving problems with clarity

DevDarshan is a devotional platform launched by IIT graduates to promote the teachings of Indian culture and the Hindu way of life in India around the world. In the 21st century, where everything around is digitized then why not temples. That’s the idea behind DevDarshan.We’ve built a community of devotees from multiple Countries, through our Mobile Application that connects Temples and Devotees, have successfully raised seed investment and also started to generate revenue for the temples and Priests associated with us. Right now we are looking to grow our team and build new exciting features for devotees all around the world.

This is where you come in.

We are looking for a passionate and self-motivated individual to help design our backend Systems to support both the Mobile App and WebApp

Requirements: 

• Experience in NodeJS, Typescript, ExpressJS AWS EC2. You have built backend REST API’s
• Expert in System Design and Software Architecture Processes, How different components interact with each other in scale
• Experience with DevOps, Docker, AWS, Google Cloud.
• Experience in Managing Development Teams, complete delivery lifecycle
• Good understanding and experience of NoSQL and SQL Databases, which to be used when. 
• Experience with CI/CD Systems like Jenkins, Github Actions.
• Some Experience with Realtime Databases/Systems or Socket based applications would be preferred.
• Some Experience with building Algorithms, Social Apps is preferred. 
• Any experience with Handling Video Delivery like ffmpeg/HLS/WebRTC is preferred but not mandatory.

The Role

This Role naturally progresses into Engineering Manager / Software Architect.

• You will be involved at all stages of the product development process, from design to development and deployment.
• You will architect, build, scale, backend systems that powers our applications which will be used by millions of devotees every day.
• You possess a passion for improving techniques, processes, tracking, and continuously improve our engineering practices and would work on a daily basis towards that

Job Description:

• 3 - 4 years of hands-on Python programming & libraries like PyData, Pandas
• Exposure to Mongo DB
• Experience in writing Unit Test cases
• Expertise in writing medium/advanced SQL Database queries
• Strong Verbal/Written communication skills
• Ability to work with onsite counterpart teams

• hands-on coding
• guide the team through industry best practices,
• lead the team by example,
• be the SME in Sharepoint,
• implement and execute the technology roadmap,
• and long-term thinking of strategies to migrate or build a new app using SharePoint Online.

At ESOP ezee

You will enable technology Unicorn’s companies to manage their ESOP schemes through multi-tenant business-to-employee solutions used by more than 100K enterprise users

What you will do

Technical Lead provides technical leadership with in-depth application development experience and is responsible for delivering high-quality products. This is a technical role, with a focus on designing, architecting, and developing enterprise applications using Microsoft technology stack.

You are asked to deliver the following

• Understanding stakeholders' requirements and translate them into concrete architecture.
• Work on complex/challenging problems to provide scalable solutions
• Ensure an error-free production execution of the application
• Promote improvements for software development practices, processes, and standards with consideration of quality, innovation, and productivity

What you will need

• BE, BTech, MTech
• 4+ years of experience in developing and enhancing enterprise web applications
• You understand and are aware of the latest Microsoft .NET technology and its evolution over the last 2 years
• Solid knowledge of MVC, .Net 4.0/4.5, jQuery
• You have served as “Single Point of Contact” for managing technical escalations and decisions

Technology Stack

Experience on the Microsoft technology stack (ASP.NET, .Net Core 3.0, Web API, SQL).

Additional Skills (Optional)

One or more of the following skills are good to have, and will give an edge over other candidates:

• Test-Driven Development
• Knowledge of financial applications

Following are the things that we are looking for in our NodeJS developer:

• Full SDLC knowledge, preferably in an agile environment.
• Strong written and verbal communication skills. Strong critical thinking & problem solving skills.
• Understanding of Unix / Linux based systems.
• Hands-on exposure to deeply linked relational databases – preferably in MySQL
• Ability to take a feature or product through the full Software Development Life Cycle.
• Strong communication skills, including the ability to both collaborate well and also the ability to convey technical ideas and concepts to non-technical stakeholders.
• Identify the interaction needs and how the API. must be developed based on design comps, product specs, etc.
• Continuously evaluate and implement new technologies to maximize development efficiency.
• Address and prioritize production level bugs and application performance improvements.
• An adaptable attitude and understanding of the agile methodology.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Collaborate with cross-functional teams to define, design, and release new features.

Minimum 3+ Years of hands-on experience in developing Python Applications. 
Excellent knowledge of Python and experience in or in-depth understanding of core Python 
Knowledge in Lists, Tuples, and Dictionaries
Excellent knowledge of Python Constructor- Parameterized and Non-Parameterized
Must have experience in core python concepts about data structure, OOPS concepts, XML parsing, XML to JSON, optimizations

Developers should have developed Web Based applications., back end, SQL
Agile and scrum methodology

Should not be test automation, Application development frame work

Excellent Communication Skill

Good to Have 

Django/ Flask 
Strong Hands-on experience in HTML, CSS, DTL(Django Template Language), SASS.
knowledge of SQL