SQL Server 2016, MSBI, Power BI

Job Title : ASP.NET Developer

Experience : 4+ Years

Location : Noida

Work Mode : Hybrid (Ad-hoc office visits as required)

Job Summary :

We are seeking an experienced ASP.NET Developer with 4+ years of hands-on experience in developing web applications using Microsoft technologies.

The ideal candidate should possess strong expertise in C#, ASP.NET MVC/Core, SQL Server, REST APIs, JavaScript, jQuery, JSON, and XML, along with a solid understanding of OOP concepts and scalable application design.

Mandatory Skills :

• C#, ASP.NET MVC, ASP.NET Core
• SQL Server
• REST APIs/Web Services
• JavaScript, jQuery, JSON, XML
• Object-Oriented Programming (OOP)
• .NET Framework
• Version control tools (SVN preferred)

Required Skills :

• 4+ years’ experience in web development.
• Ability to fully code in C# / ASP.NET / SQL Server / Rest API / Web Services / JSON / jQuery / JavaScript / XML / ASP.NET MVC / ASP.NET Core.
• Knowledge of .NET web framework.
• Proficient in C# with a good knowledge of their ecosystems.
• Strong understanding of object-oriented programming.
• Knowledge of Microsoft SQL Server.
• Experience with popular web application frameworks.
• Understanding of fundamental design principles for building a scalable application.
• Basic understanding of Common Language Runtime (CLR), its limitations, weaknesses, and workarounds.
• Proficient understanding of code versioning tools such as SVN.

Note :

Candidates should be available to visit the office whenever required for meetings, KT sessions, or project discussions.

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.

Role & Responsibilities:

We are seeking a Software Developer with 2-10 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities

• Develop, test, and maintain Python-based applications and APIs.

• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.

• Work with JSON-based data structures for request/response handling. • Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.

• Collaborate with the product and AI teams to implement new features. • Debug, troubleshoot, and optimize performance of applications and workflows.

• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Required Skills & Qualifications

• Strong knowledge of Python (scripting, APIs, data handling).

• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.

• Experience with JSON data parsing and transformations.

• Familiarity with PostgreSQL or other relational databases.

• Ability to write clean, maintainable, and well-documented code.

• Strong problem-solving skills and eagerness to learn.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice-to-Have (Preferred)

• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).

• Experience working in startups or fast-paced environments.

• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).

What We Offer

• The opportunity to define the future of GovTech through AI-powered solutions.

• A strategic leadership role in a fast-scaling startup with direct impact on product direction and market success.

• Collaborative and innovative environment with cross-functional exposure.

• Growth opportunities backed by a strong leadership team.

• Remote flexibility and work-life balance.

Job Description:

• Code and test programming for software and mobile apps.
• Develop and deploy computer applications.
• Execute code builds to test and production environments.
• Fix bugs in existing code.
• Collaborate with product, design, and marketing teams.
• Creating top-quality applications.
• Collaborating with front-end developers.
• Ensuring that junior staff delivers according to standards.
• Improving functionality.
• Using the most updated and appropriate technologies.
• Designing and building application layers.

Sills required:

           .Net, Java & SQL Database

Open Position for Dot Net Developer Profile:

Job Description:

Require hands-on .NET, SQL experience with working knowledge in MVC and SaaS.

Experience of .NET, C#, SQL Server, MVC, SaaS (Essential)

Experience in IIS, REST, AJAX, XML, open source, cloud computing (Desirable)

Company: Sidqam Technologies Pvt Ltd

Job Location: Noida (Currently Work from home)

Experience: 3 to 8 years

Healthcare IT experience is a definite advantage

Role: Software Developer

Industry Type: Software Product

Functional Area IT Software: - Application Programming, Maintenance

Role Category: Programming & Design

Salary: Upto 15 LPA

Education

UG : B.Sc - Computers, BCA - Computers, B.Tech/B.E. - Computers

PG : M.Tech - Computers, MS/M.Sc(Science) - Computers, MCA - Computers

Company Profile:

We are a team of high-energy, enthusiastic, highly-skilled, and experienced health informaticians, clinicians, technical geeks, and sales and marketing enthusiasts who together want to improve patient experience with the help of technology.

Each person in our team is special because of who he or she is and what we can achieve together. This makes for a special company! Our company, Sidqam Ltd. was established in September 2014 and is headquartered in Manchester, UK. Although a startup, the co-founders of the company have over 15 years of experience each in the healthcare IT industry, working for the National Health Service (NHS) in the UK.

Backend Developer

• NET Core /MVC
• Web API Framework
• Windows Azure PaaS

Are you looking to make a real difference in Zibew’s Mission to empower pharmacy chains, hospitals, and healthcare institutions with innovative software that significantly improves patient experience? Do you want to work on cutting edge cloud technologies and build highly scalable software?

Zibew, a Singapore based Start-up, with Engineering headquarters in Hyderabad, India is looking for talented individuals to contribute to the next generation of our products, which incorporate features such as Artificial Intelligence and Natural Language Processing. Zibew has a customer base in ASEAN countries and now looking to onboard customers in the AMERICAS region. We are a fun team that likes to get things done (we ship as frequently as every week!), where engineers are empowered to innovate. If you are an engineer who has a keen eye for scale, performance, and reliability, this is a great opportunity for you.

• As a Backend Developer, you would be working on building the core platform of our products such as the Online Pharmacy Platform.
• As a Backend Developer, you would be required to develop highly scalable Web APIs for our Mobile Apps
• As a Backend Developer, you would be working on integrations with third-party systems such as Payment Gateways, CRM Systems, and ERP Systems.
• As a Backend Developer, you would be working alongside our Data Sciences Team and Product Managers to build cutting edge Artificial Intelligence-based systems for healthcare

• Minimum of 2 years of experience in C# Programming
• Should have experience in ASP.NET Core and Web APIs
• Must have proven positive attitude towards taking challenges
• Experience in AI technologies such as TensorFlow, Deep Learning is preferred but not mandatory.
• Must have proven the ability to learn fast and deliver results under pressure.

• At Zibew, we hate micromanagement or any sort of constant interference. We have an open-door policy.
• We empower employees to take technical decisions. We understand sometimes innovation can fail but we back the employees to try and innovate.
• We follow flexible timings.
• We love individuals who ask questions and constantly pushing for more innovation.
• We don’t have people managers. We do have technical leads for each stream.
• We obsess about quality and user-experience and respect those individuals who pay at most attention to quality and user experience.