Overview Responsibilities**

- Collaborate with architects and senior consultants to translate business requirements into technical designs and implementation plans; participate in design reviews and solution walkthroughs.
- Own feature delivery end‑to‑end: estimate effort, implement features, write unit/integration tests, perform code reviews, and support deployment through CI/CD pipelines.
- Integrate backend services and data platforms, implement RESTful APIs, and ensure performance, reliability, and observability (logging, metrics, traces) for production readiness.
- Identify technical risks and dependencies early; raise and help mitigate issues, support technical escalations, and contribute to contingency plans for smooth delivery.
- Reuse and contribute to shared frameworks and IP, leveraging best practices, accelerators, and patterns to improve delivery speed and predictability.
- Collaborate cross‑functionally (e.g., project leads, delivery managers, account teams) to articulate technical value, support adoption, and ensure customer outcomes.
- Continuously learn and improve, adopt modern engineering practices (DevSecOps, automation, testing, cloud monitoring) and sharing learnings with the team.

Qualifications - 4-10 years of professional software development experience.

- Bachelor's degree in computer science, Engineering, or a related discipline, or equivalent practical experience.

- Microsoft or cloud certifications are preferred, including but not limited to:

- MCSD/MCAD/MCSE, AZ‑204, AI‑900, AI‑102, or equivalent entry‑ to mid‑level cloud and AI certifications.

Full‑Stack Application Development-

- Experience building and consuming RESTful services and integrating backend systems.
- Working knowledge of relational databases such as Azure SQL, Azure Cosmos DB, PostgreSQL, Azure SQL managed Instance or Azure Database for MySQL, including data access and performance considerations.




- Solid foundation in software engineering principles, including clean code, debugging, testing, and problem‑solving.

AI‑Enabled Application Development- Practical knowledge of Azure AI services, including Azure AI Foundry and Azure AI Search, and understanding of RAG (Retrieval‑Augmented Generation) patterns.

- Experience with RAG pipelines, vector search workflows, or agent‑based patterns using tools such as Semantic Kernel, LangChain, or similar frameworks.- Cloud & DevOps- Familiarity with CI/CD pipelines, source control (Git), and automated build and release processes.- Good‑to‑Have / Preferred Skills
- Exposure to evaluation and tuning techniques for improving AI response quality and reliability.
- Familiarity with microservices and serverless architectures, including Azure Functions, containers, or Kubernetes.
- Awareness of deployment strategies such as blue/green or canary releases.
- Exposure to end‑to‑end observability concepts (metrics, traces).
- Experience with open‑source technologies or familiarity with platforms beyond Azure (e.g., Java, AWS, or Google Cloud Platform).
- Domain exposure to industries such as financial services, healthcare, manufacturing, or retail.
- Consulting Mindset & Collaboration
- Ability to work closely with senior consultants, architects, and customers to co-create cutting-edge solutions with customers to help solve their business challenges
- Strong communication skills to explain technical concepts to business stakeholders
- Comfortable working in ambiguous environments, learning quickly, and adapting to change
- Eagerness to build engineering excellence, reusable components, and best practices

Growth & Learning Orientation

- Strong interest in continuous learning and technical certifications
- Curiosity to explore emerging data and AI technologies
- Willingness to receive feedback, grow technical depth, and expand ownership over time

Other

- Embody our culture and values

📌 Consultant - Apps Full Stack Engineer (Hyderabad)
🏢 Microsoft
📍 Hyderabad