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Dot Net Fullstack Developer
Product and Test Engineering Solutions.
Dot Net Fullstack Developer
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Dot Net Fullstack Developer

at Product and Test Engineering Solutions.

Agency job
7 - 10 yrs
₹8L - ₹15L / yr
Hyderabad
Skills
skill icon.NET
skill iconAngular (2+)
.Net Core
ASP.NET
SQL
Job Title:Dot Net Fullstack Developer

Work Location: Hyderabad

Experience:7 to 10 Years

Package:8 to 15 LPA

Notice Period:Immediate Joiners

Its a Full Time Opportunity with Our Client

Mandatory Skills:.Net Core,Angular,SQL Server,Web Services & CI/CD

Job Responsibilities
--Should be a strong Microsoft. Net developer with overall 7+ years of experience
--2+ years hands-on experience in Microsoft. Net frameworks and Microsoft. Net Core
--Experience in designing and developing web applications using Microsoft. Net Frameworks and JavaScript frameworks like React/Angular/jQuery
--Strong experience and excellent knowledge in Microsoft. Net
--Hands on experience in Microsoft. Net Core Framework
--Experience in UI frameworks like jQuery/React/Angular
--Hands on experience in writing web services
--Experience in writing optimized SQL Queries, Procedures, Functions in SQL Server, MySQL
--Experience in using Jenkins/Octopus for CI & CD
--Experience in HTML, XML, CSS
--Good team player with problem-solving, trouble-shooting capabilities and documentation skills.
--Self-Motivated, Fast learner with strong interpersonal and communication skills.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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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 :

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People & Org Builder :

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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
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  • 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) :

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  • 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
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  • Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
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  • Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications


3. People Leadership & Team Development :

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  • 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 :

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  • Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
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  • 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
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  • 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.


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Team AI Fluency :

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Responsible AI Governance :

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TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :


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  • Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
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  • MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
  • Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
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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
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Clear Leadership Growth Path :

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Strong leadership, mentoring, and problem-solving abilities


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Quoality Blogosphere: https://medium.com/quoality" target="_blank">https://medium.com/quoality

 


🙋‍♀️ The role & what we are looking for?

Oh, this is our favorite part. We’ve seen companies that write 'templatized' BS for this section; stuff that’s never followed in reality.

Not us. Here are some of our core values to give you a sense of who we are as a team:

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Not convinced yet? Okay, here’s the fun stuff:

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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