Dot Net Developer

Software Developer (Backend) - .Net with Microservices & Cloud - Sharc Hire

Full-time

Hyderabad, Telangana, India

Quick Facts About the Role

Role: Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 3 - 6 years

Skills: Microservices Architecture, ASP.NET Core, Web API development, Azure Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure Functions, Azure Blob storage, Caching, NoSQL Databases

About the role: The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software that solves real problems. Strives for security, performance, simplicity, usability, and maintainability. Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution
2. Works within established agile methods, promoting an atmosphere of continuous improvement.
3. Continuously learns new technologies and patterns and practices.
4. Documents knowledge for the benefit of the team.
5. Reports to the team on obstacles and roadblocks.
6. Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team meetings.
7. Promote patterns and best practices on the team.
8. Mentors and guides the less experienced software engineers.

Planning and Design

Works with the product team and stakeholders to refine and document requirements.

Estimates effort for planning purposes.

Designs and documents enterprise-level software architecture, consulting with Enterprise Architecture when appropriate.

1. Development
2. Writes code to develop software that meets requirements and specifications.
3. Follows established software development life cycle (SLDC).
4. Writes code with readability and future maintenance in mind.
5. Follows established source control standards and best practices.
6. Adheres to established secure coding practices.
7. Reviews code for other developers.
8. Leads team-based development efforts.
9. Quality Assurance
10. Validates QA findings and fixes defects.
11. Develops integration and testing points in the software that allow for QA testing.
12. Assists QA in running performance and load tests.
13. Release
14. Assists with release planning and releases.
15. Support
16. Assists the support team as needed, including root cause analysis.
17. Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

• Solid Understanding of The Following:
• Microservices Architecture:
• Microservices design principles (bounded contexts, loose coupling)
• API-first design and contract management
• Event-driven design principles
• Asynchronous messaging patterns
• Eventual consistency concepts
• Idempotency and message replay handling
• ASP.NET Core Web API development
• Web Apps
• Azure Kubernetes Service (AKS)
• Azure Blob Storage usage and lifecycle management
• API Gateway / Azure API Management concepts
• Entra (Authentication)
• Azure Service Bus
• Azure Functions
• Caching
• NoSQL Databases

Processes & Standards: Git, GitFlow, OO Programming, Kanban, Secure Coding, & Agile Methodologies

Bonus Skills:

• Excellent written and verbal communication
• Excellent documentation
• Continuous learning
• Collaboration across team and functional boundaries
• Troubleshooting and creative problem solving
• Design simple architecture that supports complex applications and APIs
• Architect extensible databases
• Author complex component-based client applications and restful APIs
• Perform advanced CRUD operations against multiple data sources
• Manipulate enterprise level data structures
• Mentor less experienced team members
• Take ownership of team processes and legacy applications
• Perform business analysis tasks, such as requirements gathering and wireframing

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 Title: PHP Coordinator / Laravel Developer

Experience: 4+ Years

Work Mode: Work From Home (WFH)

Working Days: 5 Days

Job Description:

We are looking for an experienced PHP Coordinator / Laravel Developer to join our team. The ideal candidate should have strong expertise in PHP and Laravel framework, along with the ability to coordinate and manage development (as Team Lead) tasks effectively.

Key Responsibilities:

• Develop, test, and maintain web applications using PHP and Laravel.
• Coordinate with team members to ensure timely project delivery.
• Write clean, secure, and efficient code.
• Troubleshoot, debug, and optimize existing applications.
• Collaborate with stakeholders to gather and analyze requirements.

Required Skills:

• Strong experience in PHP and Laravel framework.
• Good understanding of MySQL and RESTful APIs and Cloud (AWS/ Azure/ GCP).
• Familiarity with front-end technologies (HTML, CSS, JavaScript).
• Excellent communication and coordination skills.
• Ability to work independently in a remote environment.

We are Hiring ASP.NET MVC/Core Developers

Click Here to Apply : https://prishusoft.com/jobs/junior-aspnet-mvccore-professional

Experience Level

• 1–2 years of professional experience in web application development using ASP.NET MVC and ASP.NET Core.

Key Responsibilities

• Develop, maintain, and enhance web applications using ASP.NET MVC and ASP.NET Core.
• Write clean, scalable, and maintainable code following best practices.
• Design, develop, and integrate RESTful APIs with ASP.NET Web API.
• Collaborate with front-end developers and UI/UX designers to deliver exceptional user experiences.
• Work with MSSQL databases, including writing complex T-SQL queries, stored procedures, and optimizing performance.
• Participate in code reviews and contribute to technical discussions, architecture decisions, and performance improvements.

Technical Skills & Expertise

• Strong proficiency in ASP.NET MVC with at least 1 years of project experience.
• Good working knowledge of ASP.NET Core for modern application development.
• Solid skills in C#, JavaScript, and HTML.
• Experience with .NET Framework 4.5+.
• Hands-on experience with ASP.NET Web API development and consumption.
• Expertise in MSSQL (T-SQL, indexing, performance tuning).

Soft Skills

• Strong verbal and written communication skills.
• Collaborative team player with a willingness to share knowledge and contribute to team success.

Preferred / Bonus Skills

• Experience with Angular, React, or Vue.js for dynamic front-end development.
• Exposure to unit testing frameworks (e.g., Jasmine, Karma) for front-end applications.
• Understanding of DevOps practices and CI/CD pipelines.
• Familiarity with TypeScript for scalable JavaScript development.

Work Mode: Full-time On-site / Hybrid (Ahmedabad)

Job Summary:

We want a techie at heart. Someone who is happy and curious to work on all aspects of software development.

Reporting directly to the CTO, you will be responsible for feature design, development, and continuously optimizing our tech stack.

• We are looking for an experienced software engineer with at least 5 years of experience in a startup or product environment. Ideally you have been involved in all aspects of software development from requirements gathering to design, development, deployment and post-release support. We are looking for all-round technical maturity. Our tech stack is Angular, Spring boot and Django/Python.

Key Skills

Java

SpringBoot

PostgreSQL/MySQL

Git

AWS

REST api design

Experience integrating with external APIs

Good applied understanding of Object Oriented Programming

Good database modeling and SQL knowledge.

/React is a big plus.

Responsibilities and Duties

Build out features across the stack : backend, API design and integration, database optimization , microservices, plugins, queues etc

Fix bugs and write automated tests

Maintain and upgrade our Tech Stack

Translate requirements to design and write/present articulate software design.

• Consultant/freelancing role
• Design and build advanced high-quality applications in .Net,.Net Core, Azure or AWS. hands on programming on C#, Web API, NOSQL DB and Azure, AWS.
• Knowledge of software development life cycle.
• Able to handle and manage the projects independently.
• Should be hands on developer and write production level code flawlessly
• Will be involved in client interactions and gathering project requirements, suggest best solutions considering NFRs insights
• Someone with an ability to ensure the performance, quality, and responsiveness of applications.
• Ability to work within a rapidly evolving environment.
• Eager to learn and adapt to new technologies.
• Bring new ideas and technologies to the team that can improve our product or process.
• Help maintain code quality, unit test cases, documentation, etc