Backend Developer – .Net/ C#

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.

Job Description - Blueprism Developer / RPA Developer

• Design technical specifications for RPA (Blue Prism) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.
• Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.
• Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
• Complies with and helps to enforce design and coding standards, policies and procedures.
• Ensures documentation is well maintained.
• Ensures quality of coded components by performing thorough unit testing.
• Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.
• Reports status, issues and risks to tech leads on a regular basis
• Improves skills in automation products by completing automation certification.
• Mentors junior developers and performs code reviews for quality control.

Qualifications

Bachelor degree in Engineering / Computer Science

Additional Information

•  5- 8 years of IT experience and having good understanding of programming concepts.  Should be from a programming background on any coding language (.Net, Java).
• Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.
• Understands development methodology and lifecycle
• Should be trained on RPA tools (Blue Prism).
• Self-motivated, team player, action and results oriented.
• Well organized, good communication and reporting skills.

Notice Period : 1 Month or Immediate joiner  preferred

• Experience in development C# .net mvc
• Experience in Entity Framework, Linq
• Experience in Scripting (JavaScript, Jquery)
• Experience in MS SQL with Stored Procedures
• Good understanding on the SDLC
• Experience in Agile Methodology  
• Good communication

Experience: 2-5 Years experience

Skills:

Core PHP (Knowledge of functions, Methods, PHP OOPS Concept, Ajax, MySQL, Jquery), Javascript, Basic knowledge of HTML, CSS, MVC Structure 

Knowledge about socket

• Managing the interchange of data between the server and the users.
• Development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end Integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.
• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications.
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection.

• Should have worked on the Django REST framework.
• Familiarity with some Pandas, Numpy, text parsing/mining and ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture
• Good understanding of server-side templating languages
• Worked on Amazon cloud solutions
• Understanding of accessibility and security compliance
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of fundamental design principles behind a scalable application
• Familiarity with event-driven programming in Python
• Able to create database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tool
• Excellent written and verbal communication skills.
• Should know about HDL and LLD.
• Should know about making python packages
• Should have worked on microservice-based Architecture

About us:

Magicflare Software Services LLP is a technology services and consulting organization specializing in IT Services, Software Development, Outsourced Product Development and Test engineering services. Headquartered in Pune, India, Magicflare combines a passion for development, QA and testing, industry and process, client satisfaction and helping client to reach their business goals. Specialties Product Engineering Services, Software Development, Outsourced Product Development, QA and Test Automation, Core and Specialized Testing, Agile Practices and Consulting Services

Roles & Responsibilities:

• Interact with client and/or client coordinators/leads to understand the requirements
• Ensure successful delivery of the project by coordinating with all the stakeholders of the project
• Unit test the developed modules
• Troubleshoot complex problems and ability to fix them with efficiency
• Develop documentation throughout the software development life cycle (SDLC)
• Write clean, scalable code using .NET programming languages
• Analyze requirements and designing new functionality

1) Proven experience as a .NET Developer or Application Developer

2) Familiarity with the http://ASP.NET">ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC))

3) Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and IIS

4) Familiarity with architecture styles/APIs (REST)

5) Basic knowledge Windows Application and Windows Services,

6) Excellent troubleshooting and communication skills

Hi,

Greeting from Acess Meditech Pvt Ltd. is into providing of business process outsourcing services for Insurance industry.

Job Title: Dot Net developer

Year of Experience: 1- 4 years

Location: Hyderabad

Job Responsibility

• Should have minimum worked in .Net fw >=4.0.

• Should have experience in VB.Net

• Should have used 1+ experience in .Net 3.5 using minimum Visual Studio 2008 or >= Visual Studio 2010.

• Should have worked with SQL Server ver. >= 2010. Should have extensive knowledge in developing stored procedures using TVP, XML. should have worked with SQL Server Functions, Triggers, creating and modifying scripts based on business requirements.

• Should have worked knowledge in developing web-services.

• Should have hands on experience of at-least 1year in Build and Release management.

• Should have minimum 1+ years experience in Web Api’s

Key Skills:

Asp.Net,

VB.Net,

C#,

SQL server

Web API