Senior Dot Net 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.

Note: Salary will be offered based on your overall experience and last drawn salary.

Job Title: Nodejs Developer (Full-time)

Location: Gurugram (Onsite)

Experience Required: 3+ Years

Working Days: 5 Days (Mon to Fri)

Job Summary

We are looking for a skilled Node.js Developer who is experienced with JavaScript/TypeScript, databases, and modern AI development tools. You will build and maintain backend applications, design scalable systems, and use AI tools to enhance development productivity. The role involves backend development, database management, API development, and cloud deployment.

What You’ll Be Doing

Backend Development

• Build and maintain Node.js applications, services, and APIs.
• Write clean, readable JavaScript/TypeScript code.
• Create and manage REST APIs; work with GraphQL when required.
• Develop microservices and containerized applications (Docker).
• Participate in code reviews and help maintain coding standards.

Database Work

• Design database schemas for PostgreSQL, MongoDB, and Redis.
• Write optimized SQL and NoSQL queries.
• Implement indexing and manage database performance tuning.
• Handle database scaling and caching strategies.

AI Tools & Productivity

• Use AI coding assistants (GitHub Copilot, Cursor AI, Tabnine).
• Integrate AI APIs (OpenAI, Claude) into backend applications.
• Build features powered by AI/ML capabilities.
• Use AI tools to debug and enhance code quality.

Deployment & Operations

• Deploy applications on AWS, Azure, or GCP.
• Set up CI/CD pipelines (GitHub Actions, Jenkins).
• Work with Docker and Kubernetes.
• Monitor backend services and perform troubleshooting.

Job Requirements

Must-Have (3 Years Experience)

• Strong hands-on experience with Node.js and Express.js.
• Excellent understanding of JavaScript/TypeScript, ES6+, async/await.
• Experience with at least one major database: PostgreSQL, MongoDB, Redis.
• Knowledge of API development (REST, GraphQL).
• Hands-on experience with Git and version control.
• Experience with testing tools like Jest, Mocha, or similar.

Bonus Skills (Good to Have)

• Cloud platforms: AWS, Azure, Google Cloud.
• Docker, Kubernetes.
• CI/CD pipelines.
• Frontend exposure (React/Vue/Angular).
• Message queues: RabbitMQ, Kafka.
• Caching: Redis, Memcached.
• API security: JWT, OAuth2.

Required Skills & Qualifications

• Bachelor's/Master’s in Computer Science or related field
• 5–8 years of backend development experience
• Strong in Java, Spring Boot, REST APIs, and microservices
• Hands-on experience with MySQL/PostgreSQL and NoSQL databases
• Strong debugging, problem-solving, and communication skills
• Ability to work independently and in cross-functional teams

Preferred Traits

• Proactive mindset with a knack for identifying and fixing bottlenecks
• Detail-oriented with a passion for clean, maintainable code

Team-oriented with a drive for continuous learning and improvement

Job Title: Python Developer (FastAPI)

Experience Required: 4+ years

Location: Pune, Bangalore, Hyderabad, Mumbai, Panchkula, Mohali 

Shift: Night Shift 6:30 pm to 3:30 AM IST

About the Role

We are seeking an experienced Python Developer with strong expertise in FastAPI to join our engineering team. The ideal candidate should have a solid background in backend development, RESTful API design, and scalable application development.

Required Skills & Qualifications

· 4+ years of professional experience in backend development with Python.

· Strong hands-on experience with FastAPI (or Flask/Django with migration experience).

· Familiarity with asynchronous programming in Python.

· Working knowledge of version control systems (Git).

· Good problem-solving and debugging skills.

· Strong communication and collaboration abilities.

As a PHP Backend Developer, your primary responsibility will be to develop and maintain the server-side logic of web applications, ensuring high performance, responsiveness, and scalability. You will work closely with the front-end development team, project managers, and other stakeholders to deliver robust and efficient web solutions.

Responsibilities:

• Develop and maintain server-side applications using PHP frameworks (such as Yii, Laravel, Symfony, and CodeIgniter) and other related technologies.
• Write clean, well-structured, and reusable code following industry best practices and coding standards.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Design and implement secure and efficient APIs for data exchange with the front end and external services.
• Optimize application performance by identifying and resolving bottlenecks, improving code efficiency, and implementing caching mechanisms.
• Ensure data integrity and implement proper validation and error-handling techniques.
• Collaborate with database administrators to design and optimize database schemas and queries.
• Conduct thorough testing and debugging of applications to ensure high-quality deliverables.
• Stay updated with the latest trends and advancements in PHP development and related technologies.
• Participate in code reviews and provide constructive feedback to maintain code quality and improve team collaboration.
• Collaborate with the project management team to estimate project timelines and deliver work within specified deadlines.
• Troubleshoot and resolve production issues, provide technical support and perform maintenance tasks as required.

Requirements:

• Proven work experience as a PHP Backend Developer or similar role.
• Strong proficiency in PHP and its frameworks (Yii, Laravel, Symfony, etc.) with a good understanding of object-oriented programming principles.
• Experience with frontend technologies (HTML5, CSS3, JavaScript) and their integration with backend systems.
• Familiarity with database systems, such as MySQL, PostgreSQL, or MongoDB, and proficiency in writing efficient database queries.
• Knowledge of version control systems like Git for code collaboration and deployment.
• Familiarity with RESTful API development and integration of third-party APIs.
• Experience in optimizing application performance and implementing caching techniques.
• Understanding of security principles and best practices for web application development.
• Excellent problem-solving and analytical skills with strong attention to detail.
• Good communication and teamwork skills to collaborate effectively with cross-functional teams.
• Ability to work independently and handle multiple projects simultaneously.

Midas is a fintech company that specializes in building state-of-the-art technological solutions for algorithmic trading, investments, and analytics for global financial markets. Headquartered in Mumbai, Midas aims to establish a strong presence in GIFT City (Gandhinagar), London, New York, and Singapore in the near future.

Our team consists of highly motivated and skilled individuals who serve sophisticated clients across various segments, including affluent individuals, high-net-worth individuals, ultra-high net-worth individuals, family offices, and institutions. We offer an excellent platform for personal and professional development within a highly committed and collaborative team in a mission-driven and results-oriented environment.

1. The ideal candidate should possess expert-level knowledge in technologies such as JavaScript, TypeScript, Node JS, MongoDB, Redis, Linux servers, and networking protocols (TCP and UDP). This includes understanding how to use these technologies to develop and deploy backend systems, as well as troubleshooting and optimizing them.
2. Proficient in automation technology, the candidate should be able to optimize existing infrastructure, identify and implement design patterns, and understand data structures and algorithms. This includes an ability to evaluate and recommend new technologies that can improve the performance and scalability of the system.
3. The candidate should be familiar with version control and project management tools such as GIT, JIRA, etc. and be able to use them effectively to manage and collaborate on code development.
4. Strong understanding of multithreading and multiprocessing concepts, and the ability to make tweaks and optimizations in similar domains for the purpose of improving performance and scalability.
5. Understanding of clustering and load balancing, including the ability to design and implement solutions that can improve the availability and scalability of the system.
6. Understanding of cyber security protocols and their application in the development and deployment of backend systems. This includes knowledge of best practices for securing systems, as well as the ability to identify and mitigate potential security threats.
7. Ability to implement CI/CD pipelines when needed. This includes an understanding of the various steps involved in creating, testing, and deploying code, as well as knowledge of the tools and technologies used to automate these processes.
8. Familiarity with tools such as NGINX or HAProxy and understanding how they can be used to improve the performance and scalability of the system.
9. Eagerness to learn and upgrade skills as per the demands of the product. This includes an ability to stay current with new technologies and best practices in the field, as well as a willingness to continuously improve one's own skills.
10. Proven experience in the industry and ability to work in a fast-paced environment. The candidate should have a solid understanding of the financial markets and the technology used to support them.
11. Strong problem-solving and analytical skills, ability to work independently and as part of a team. The candidate should be able to identify and solve complex problems and work effectively with others to achieve common goals.
12. Strong communication and interpersonal skills. The candidate should be able to effectively communicate with both technical and non-technical stakeholders, and work well in a team environment.