Blockchain Developer with .Net

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

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

We are looking for a mature seasoned key player who will help build our team.

Are you a mentor and love code in general? We are seeking a senior .NET developer and hopefully other programming languages with at least 4 years of experience to be part of a team to write, debug, and test .NET code. You will be analyzing, troubleshooting issues and managing the implementation updates with current and planned customizations. The ideal candidate should have a strong understanding of object-oriented programming, relational databases, and software architecture principles. 

Our work environment, mentoring, teaching, growing constantly nurturing, loving, and respect. To enjoy our work and move through tasks as painlessly as possible. We believe in helping and being helpful. Staying positive and being there when you have that umm, ‘I don’t know how to solve this’ we want you to feel completely 100% comfortable to get on a call, share a screen and move through it. We have the “If you are stuck over 15 mins ask someone rule”. and “ask a dumb question at least twice a day rule”. This is how we want our work environment. 

We work fully remotely via Slack / Zoom / Whatsapp

Requirements:

4+ years of experience or more. 

ASP.NET, C#, MVC.

Troubleshoot and resolve issues and bugs

Must be able to communicate in English speaking and writing, our CEO is American and talks fast. We are looking for adults in the room, people who can communicate, think and reason as key team members.

Work US East coast time zone EST GMT-5

We are looking for well-spoken "adults in the room", you will be a key player in shaping our team. Must have mentorship / manager experience.

• Experienced in writing queries and stored procedures in SQL.
• Hands-on in developing and supporting batch-based systems, with experience in data profiling and debugging.
• Experience in performance tuning techniques and tools

• Working with the development team to create physical database schemas.
• Optimising database design for optimal performance.
• Advising on best practices for developers interacting with the database.
• Developing and testing SQL and stored procedures.

• Bachelor’s Degree in Computer Science or equivalent
• 8-12 years’ of industry experience in programming web applications, mobile and/or large scale enterprise products
• Deep knowledge of C#, ASP, .NET, MVC, .Net core
• Deep knowledge and extensive experience working on Ruby or React and JavaScript, as required
• Experience with XML, ADO/ADO.NET, LINQ, AJAX, IIS
• Extended experience with SQL, relational and non-relational databases
• Experience in TFS and Visual Studio
• Hands on experience with SDLC and programming design patterns
• Experience with Agile methodology
• Skillful at reviewing new feature impact on an application and recognizing potential risks
• Uses time effectively and efficiently
• Quickly learns new technologies
• Detailed oriented, professional and possesses a positive work attitude
• Communicate professionally both verbally and in writing
• Effective time management skills
• Knowledge on UI technologies will be plus

PRINCIPAL DUTIES AND RESPONSIBILITIES:

• Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes, investigating problem areas, following the software development lifecycle.
• Conducts systems analysis and makes recommendations to improve the system to achieve an outcome.
• Promotes internal best practices and coding conventions to write and execute tests for your own code, including creating comprehensive unit tests.
• Contributes to Technical Requirements Documents.
• Requests constructive feedback for designs early in the process.
• Communicates successfully with large teams and many stakeholders.
• Provides mentorship for Software Engineers and participates in interview panels to hire new Software Engineers.
• Assists in removing obstacles for the team to yield successful sprints.
• Performs peer code reviews to ensure quality of the codebase.
• Ability to decompose and delegate work to junior engineers.
• Updates job knowledge by studying state-of-the-art development tools, programming techniques and computing equipment; participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations.
• Works effectively with multiple projects and features.
• All other duties as assigned.

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

 Role:

• Understand complex business problems and implement product features that are secure, scalable, robust and easy to implement and maintain.
• Take full ownership of product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale.
• Take pride of ownership in features that are used by users of Top 100 Global enterprises.

 Required skills:

• C#/ASP.NET/Javascript/MVC guru with the ability to understand complex domain problems and churn out a PoC quickly.
• A great communicator of ideas and solutions and a lateral thinker when faced with complex performance or production issues.