Job Summary
We are seeking an experienced Full Stack Senior/ Lead Engineer to drive the development of a next-generation AI SaaS platform that serves as a copilot for financial advisors. As a leader in a dynamic team, you’ll manage end-to-end application architecture, design, and deployment while collaborating with cross-functional teams, including AI Engineering, UX design, DevOps, and QA. This role is pivotal in delivering an exceptional user experience for our clients in the financial services industry.
Key Responsibilities
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Lead Full Stack Development: Architect and develop scalable, reliable, and performant web applications using Python, Django, and Flask on the backend, and Angular, HTML, CSS, and JavaScript on the frontend.
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Platform Design & Development: Collaborate with UX designers to build intuitive, high-performing user interfaces and deliver exceptional user experiences tailored to financial advisors.
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Code Quality & Testing: Ensure the delivery of robust, quality-driven code through best practices in testing and QA.
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DevOps Leadership: Set up and manage CI/CD pipelines, containerization, and orchestration using DevOps tools (Docker, K8S, Jenkins, HAProxy, NGINX, and Sentry) to optimize the development workflow.
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Database Management: Oversee the design and optimization of databases using MongoDB, Redis, and ELK to ensure data integrity and performance.
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Gen AI & LLM - Exposure towards Open AI, other LLMs, RAG Pipelines, Agentic framework will be added advantage
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Collaborate with Cross-functional Teams: Work closely with Product Managers, UX Designers, QA, and other engineering teams to align project objectives with platform goals.
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Mentorship and Guidance: Mentor junior developers, promote a high-performance culture of continuous learning, and drive team success.
Qualifications
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Education: Bachelor's or Master’s degree in Computer Science, Software Engineering, or related field.
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Experience: Minimum of 3 years of software development experience, with at least 2 years in a technical lead role (preferably for Lead role), ideally within an AI SaaS Product environment.
Technical Skills:
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Languages & Frameworks: Proficient in Python (Django, Flask), Angular, HTML, CSS, and JavaScript. Experience with CSS preprocessors (Sass, Less)
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DevOps: Experience with Docker, Kubernetes; CI/CD – Tools (Jenkins, GitLab CI/CD, GitHub Actions)
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Database: Hands-on experience with NoSQL (MongoDB) and SQL (PostgreSQL, MySQL) databases
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API design: Understanding of API design (RESTful and GraphQL) and microservices architecture.
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Testing & QA: Familiarity with automated testing frameworks and best practices.
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Architectural Skills
System Design:
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Ability to design scalable, high-performance applications.
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Knowledge of architectural patterns (MVC, MVVM, Microservices).
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Understanding of distributed systems, caching mechanisms, and data storage.
Code Quality & Standards:
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Strong knowledge of best practices in coding, code review, and refactoring.
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Experience with code documentation and maintaining codebase consistency.
Soft Skills:
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Strong problem-solving, troubleshooting and analytical skills.
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Ability to manage multiple projects and meet tight deadlines.
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Excellent communication skills to work effectively across teams.
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Mentorship experience and a collaborative, team-oriented mindset.
Nice-to-Have Skills
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UX Design and Development experience, particularly with a focus on enhancing the user journey in AI-driven Copilot applications.
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Familiarity with Financial or Wealth Management Applications is an added advantage.
What We Offer
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Career Development: Opportunities for growth and advancement in a rapidly expanding SaaS AI Product Company.
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Collaborative Culture: Join a diverse, collaborative team where every voice matters.
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Competitive Benefits: Comprehensive healthcare, remote work options, and support for continued learning and development.
Join us to make an impact in transforming financial advisory services with cutting-edge AI technology!
