City Manager

Senior Java Platform Engineer

Location: Bangalore / Mumbai (Hybrid)

Company: Wissen Technology

Experience: 10+ Years

About the Role

Wissen Technology is looking for a highly experienced Senior Java Platform Engineer to join our engineering team. In this role, you will design, develop, and maintain scalable, high-performance platform services that power mission-critical financial applications.

The ideal candidate will have deep expertise in Core Java, platform engineering, REST API development, and extensive experience working within the Financial Services domain.

Key Responsibilities

Platform Design & Development

• Design, develop, and maintain scalable, high-performance, and reliable platform services using Core Java.
• Build, integrate, and support RESTful APIs and web services.
• Write clean, maintainable, well-documented, and testable code.
• Participate in code reviews and promote engineering best practices.
• Contribute to architectural decisions and platform design initiatives.

Performance & Platform Engineering

• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve complex technical issues.
• Ensure platform security, availability, and operational excellence.
• Implement best practices for concurrency, multithreading, memory management, and performance tuning.

Data Management

• Work with both SQL and NoSQL databases.
• Design efficient data access and persistence strategies.
• Apply strong data modeling principles and database optimization techniques.

Financial Services Domain

• Develop solutions aligned with financial industry standards and regulatory requirements.
• Leverage a strong understanding of financial systems, products, and workflows.
• Ensure secure handling of sensitive financial data while maintaining compliance.

Automation & Workflow Management

• Utilize Python for scripting, automation, and operational tasks.
• Work with Apache Airflow (or similar workflow orchestration tools) to schedule and manage data pipelines.

Collaboration & Leadership

• Collaborate with Product Managers, Architects, QA Engineers, and cross-functional development teams.
• Communicate effectively with both technical and business stakeholders.
• Mentor junior engineers and contribute to the team's technical growth.
• Participate in Agile ceremonies and drive continuous improvement initiatives.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of hands-on experience in Core Java development.
• Strong experience building and maintaining enterprise-scale platform services.
• Expertise in Object-Oriented Programming (OOP), design patterns, and software engineering principles.
• Proven experience designing and developing RESTful APIs.
• Deep understanding of concurrency, multithreading, memory management, and performance optimization.
• Hands-on experience with SQL and NoSQL databases.
• Significant experience within the Financial Services industry.
• Exposure to Python scripting and automation.
• Experience with Apache Airflow or similar workflow management tools.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and stakeholder management abilities.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Docker and Kubernetes.
• Experience with messaging technologies such as Kafka or RabbitMQ.
• Understanding of financial regulations, governance, and compliance requirements.

Why Join Wissen Technology?

• Work on mission-critical platforms for leading financial institutions.
• Gain exposure to modern engineering practices and cloud-native technologies.
• Be part of a collaborative, innovation-driven engineering culture.
• Enjoy a hybrid work model based in Bangalore or Mumbai.
• Accelerate your career with opportunities for continuous learning and growth.

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.

Must Have Skills: ● .NET Expertise: 8+ years of hands-on experience with C# and .NET Framework (preferably 4.8+), with deep knowledge of MVC5 architecture. ● Front-End Mastery: Advanced skills in Razor Views, Bootstrap 5, CSS/LESS, JavaScript, and JQuery for building modern, responsive UIs. ● Database Proficiency: Strong experience with MSSQL, including schema design, performance tuning, and writing complex queries and stored procedures. ● DevOps Knowledge: Proficient in IIS configuration, deployment automation, and CI/CD best practices. ● Team Leadership: Proven ability to lead and mentor development teams, manage project timelines, and deliver high-quality software. ● Problem Solving: Exceptional debugging, analytical, and troubleshooting abilities across the stack. ● Collaboration: Experience working in Agile/Scrum teams and participating in technical discussions and code reviews. 

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

Job Requirements/Responsibilities :

- Participate as a team member in all phases of software development lifecycle.

- Coordinating with the team on individual responsibilities and roadblocks.

- Perform design, development and testing on individual tasks

- Managing initiatives on UI/UX work

- Transparently share the challenges & feedback.

- Participate in integrated testing of product/ package.

- Designing a modern highly responsive web-based enterprise application component user interface.

- Building reusable components and front-end libraries for future use.

- Translating designs and wireframes into high-quality code.

- Learn and understand user interactions.

- Optimizing components for maximum performance across a vast array of web-capable devices and browsers

- Coordinating with various teams working on distinct layers.

- Providing technical assistance to the other teammates.

- Keep compliance with Quality Systems and Procedure