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Job Position: Lead II - Software Engineering

Domain: Information technology (IT)

Location: India - Thiruvananthapuram

Salary: Best in Industry

Job Positions: 1

Experience: 8 - 12 Years

Skills: .Net, Sql Azure, Rest Api, Vue.Js

Notice Period: Immediate – 30 Days

Job Summary:

We are looking for a highly skilled Senior .NET Developer with a minimum of 7 years of experience across the full software development lifecycle, including post-live support. The ideal candidate will have a strong background in .NET backend API development, Agile methodologies, and Cloud infrastructure (preferably Azure). You will play a key role in solution design, development, DevOps pipeline enhancement, and mentoring junior engineers.

Key Responsibilities:

• Design, develop, and maintain scalable and secure .NET backend APIs.
• Collaborate with product owners and stakeholders to understand requirements and translate them into technical solutions.
• Lead and contribute to Agile software delivery processes (Scrum, Kanban).
• Develop and improve CI/CD pipelines and support release cadence targets, using Infrastructure as Code tools (e.g., Terraform).
• Provide post-live support, troubleshooting, and issue resolution as part of full lifecycle responsibilities.
• Implement unit and integration testing to ensure code quality and system stability.
• Work closely with DevOps and cloud engineering teams to manage deployments on Azure (Web Apps, Container Apps, Functions, SQL).
• Contribute to front-end components when necessary, leveraging HTML, CSS, and JavaScript UI frameworks.
• Mentor and coach engineers within a co-located or distributed team environment.
• Maintain best practices in code versioning, testing, and documentation.

Mandatory Skills:

• 7+ years of .NET development experience, including API design and development
• Strong experience with Azure Cloud services, including:
• Web/Container Apps
• Azure Functions
• Azure SQL Server
• Solid understanding of Agile development methodologies (Scrum/Kanban)
• Experience in CI/CD pipeline design and implementation
• Proficient in Infrastructure as Code (IaC) – preferably Terraform
• Strong knowledge of RESTful services and JSON-based APIs
• Experience with unit and integration testing techniques
• Source control using Git
• Strong understanding of HTML, CSS, and cross-browser compatibility

Good-to-Have Skills:

• Experience with Kubernetes and Docker
• Knowledge of JavaScript UI frameworks, ideally Vue.js
• Familiarity with JIRA and Agile project tracking tools
• Exposure to Database as a Service (DBaaS) and Platform as a Service (PaaS) concepts
• Experience mentoring or coaching junior developers
• Strong problem-solving and communication skills

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Do you wish to be a part of a disruptive team, passionate towards democratizing education for students across India? Then read more.

Our client is an expert in education financing and counselling related to higher studies abroad. They help students to understand about scholarships in various colleges abroad, whether they are eligible and how to apply for such esteemed institutions. Their dedicated page enlists every scholarship available across the globe, apart from other facilities required by students like visa counselling, forex, accommodation, Peer contacts etc.

They also offer the best resources for exams like IELTS, TOEFL and GRE apart from organising webinars and events to connect with industry experts, alumni and fellow students - that helps to prepare for these travels, loans and more. Partnered with the most prominent Banking and non-banking financiers, the team is led by FinTech-experienced IIT Kanpur alumni, passionate about offering sustainable financial offerings.

As a Sr Software Developer (Full stack), you will be part of the product development team.

What you will do:

• Improving customer experience, not only for borrowers, but also other partners on the platform
• Ensuring seamless integration with data/ service providers and lending partners
• When not doing any of above, writing tests to prevent any regressions