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Software Engineer (.NET, Azure)
Software Engineer (.NET, Azure)
NeoGenCode Technologies Pvt Ltd's logo

Software Engineer (.NET, Azure)

Akshay Patil's profile picture
Posted by Akshay Patil
3 - 8 yrs
₹1L - ₹6L / yr
Remote only
Skills
skill icon.NET
ASP.NET
skill iconC#
Microsoft Windows Azure
SQL Azure
RESTful APIs
DevOps
skill iconGit
Agile/Scrum

Job Title : Software Engineer (.NET, Azure)

Location : Remote

Employment Type : [Full-time/Contract]

Experience Level : 3+ Years


Job Summary :

We are looking for a skilled Software Engineer (.NET, Azure) to develop high-quality, secure, and scalable software solutions. You will collaborate with product owners, security specialists, and engineers to deliver robust applications.


Responsibilities :

  • Develop and maintain server-side software using .NET (C#), SQL, and Azure.
  • Build and secure RESTful APIs.
  • Deploy and manage applications on Azure.
  • Ensure version control using Azure DevOps/Git.
  • Write clean, maintainable, and scalable code.
  • Debug and optimize application performance.


Qualifications :

  • 3+ Years of server-side development experience.
  • Strong proficiency in .NET, SQL, and Azure.
  • Experience with RESTful APIs and DevOps/Git.
  • Ability to work collaboratively and independently.
  • Familiarity with Scrum methodologies.
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About NeoGenCode Technologies Pvt Ltd

Founded :
2023
Type :
Services
Size
Stage :
Raised funding

About

Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.

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Candid answers by the company

What does the company do?
What is the location preference of jobs?

IT & Engineering Talent Staffing

  • Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
  • Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
  • Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.

2. End-to-End Project Delivery

  • Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
  • Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .

3. Additional Offerings

  • Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
  • Provides strategic IT consulting to align technology solutions with business objectives


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Experience 15+ years


Notice period Immediate


Location - Bangalore


Note: OMS & Retail domain Experience is mandatory


Introduction


We are looking for an experienced Solution Architect with strong hands-on expertise in Java and Microservices architecture.


Responsibilities include:


- Design and define end-to-end solution architecture for enterprise applications using Java and Microservices.


- Lead architecture discussions, technical design reviews, and solution blueprints.


- Drive microservices-based application design, including service decomposition, API contracts, and integration patterns.


- Define and govern RESTful API standards and service-to-service communication.


- Work closely with product owners, business stakeholders, and development teams to translate business requirements into technical solutions.


- Provide technical leadership and mentorship to development teams.


- Ensure solutions meet non-functional requirements such as scalability, performance, availability, and security.


- Review code, architecture artifacts, and ensure adherence to best practices.


- Support DevOps, CI/CD strategy, and cloud-native adoption.


- Identify technical risks and propose mitigation strategies.


Primary Skills :


- 10+ years of proven experience in the industry, with at least 3 years as an Architect or similar role designing and developing enterprise-scale applications.


- Bachelors in engineering / technology (4 year) or master's in computer applications (2 year)


- Must possess at least 6+ years of Software development experience.


- Expert knowledge in at least one object-oriented programming language like Java, one backend framework like Spring Boot / Node JS, one UI framework like React JS / Angular JS and RDBMS or NoSQL database.


- Excellent knowledge of front-end programming languages, such as HTML, CSS, JavaScript, and AngularJS, with the ability to render server-side and client-side content.


- Helps identify newer practices and adoption of existing ones. Ensure that the code quality is maintained via own and/or peer code reviews.


- Can lead the team in delivery of backend and user interface code. Ensure that the DevOps tasks are


executed well.


- Ensure that the software has the correct level of logging & monitoring in Production and LLEs.


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- Excellent written and verbal communication. Must understand the client’s business requirements and translate them into software requirements. Has a view of the deliverable timeline and escalates when needed.


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- Experience in implementing OMS products for retail customers will be an added advantage.


- Ability to do estimation for the given requirements.


- Ability to lead technical discussions with clients.


- Must be able to do quick proofs of concepts and demos based on client requirements.


- Provide timely feedback on the performance of team members.


- Conduct interviews & provide feedback to achieve hiring objectives.


- Contributes to organization building functions such as hiring, training, mentoring, team building.


Secondary Skills :


- Experience with Docker and Kubernetes for containerized deployments.


- Exposure to Cloud platforms such as AWS, Azure, or GCP.


- Knowledge of CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).


- Experience with Kafka / RabbitMQ or other messaging systems.


- Good understanding of SQL and NoSQL databases.


Basic knowledge of:


- Application security (OAuth2, JWT, TLS)


- Logging & monitoring (ELK, Prometheus, Grafana, CloudWatch, etc.)

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Recruiting Bond
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2 candid answers
Pavan Kumar
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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.


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Joining: Immediate Joiners Preferred

Employment Type: Permanent

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Role Summary:

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Senior Software Developers collaborate with Business and Quality Analysts, Designers, Project Managers and more to design software solutions that will create meaningful change for our clients. They listen thoughtfully to understand the context of a business problem and write clean and iterative code to deliver a powerful end result whilst consistently advocating for better engineering practices. By balancing strong opinions with a willingness to find the right answer, Senior Software Developers bring integrity to technology, ensuring all voices are heard.

For a team to thrive, it needs collaboration and room for healthy, respectful debate. Senior Developers are the technologists who cultivate this environment while driving teams toward delivering on an aspirational tech vision and acting as mentors for more junior-level consultants. You will leverage deep technical knowledge to solve complex business problems and proactively assess your team’s health, code quality and nonfunctional requirements.


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Technical Skills

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  • You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
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  • Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
  • You’re resilient in ambiguous situations and can approach challenges from multiple perspectives


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There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

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·         Should have 1-5 years experience in backend development

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·         Proficient in writing clean, well-structured code with proper abstraction and reusability.

.         Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements.

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About the venture: Networking has mostly been a one to one phenomenon that requires a lot of time and effort. Only proactive people are able to network well. We are trying to change that. We are building a platform for group networking that makes networking a low barrier and highly intuitive process. CollabMates enables networking between like-minded people in niche community groups that they can join. Once they get access to the community, they can easily know each other, seek and provide help to each other, and grow together. The innovative design of the product ensures that the interactions happen only between relevant members without spamming the whole group. About the role: This is a great opportunity for entrepreneurial people to work with serial entrepreneurs from IIT Delhi and learn how big ideas are executed in the early stage. We are looking for a Python/Django Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your teammates into the application; therefore, a basic understanding of front-end technologies is necessary as well. Responsibilities : - Writing reusable, testable, and efficient code - Design and implementation of low-latency, high-availability, and performance efficient applications - Integration of user-facing elements developed by front-end developers with server-side logic - Implementation of security and data protection - Integration of data storage solutions Skills And Qualifications : - Expert in Python, with knowledge of Django Web Framework - Familiarity with some ORM (Object Relational Mapper) libraries - Working knowledge of MongoDB and MySQL - Good understanding of building RESTful APIs - Bonus points for Celery, RabbitMQ - Basic understanding of front-end technologies, such as JavaScript, HTML5 and CSS3 - Knowledge of user authentication and authorization between multiple systems, servers, and environments
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Shubham Vishwakarma

Full Stack Developer - Averlon
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