Job Description

Job Summary: As a Data Expert at SS&C, you will play a key role in the Data Platform, shaping hedge fund administration technology, streamlining daily workflows, and enhancing reporting for fund accountants, investment managers, clients, and investors. Youll be part of a dedicated and passionate team driven by intellectual curiosity, problem-solving, and a commitment to delivering impactful solutions. We seek capable leaders eager to learn new technologies, embrace best practices, and foster a collaborative, fun work environment. Join us to grow and learn while practicing continuous integration and delivery, leveraging the agile methodology, and building high-quality, valuable features using a test-driven approach. Job Title: Lead Software Engineer Key Responsibilities: Lead the development of robust, high-performance web and generative AI applications. Architect, design, and implement scalable and secure solutions aligned with business objectives. Mentor and guide a team of developers, fostering a culture of continuous learning and improvement. Design and maintain APIs, including RESTful and GraphQL interfaces, ensuring seamless data exchange with third-party services. Implement and maintain CI/CD pipelines, utilizing automation tools for seamless deployment. Collaborate with cross-functional teams, including DevOps, Security, Data Science, and Product Management. Optimize application performance through efficient resource management, load balancing, and query optimization. Ensure compliance with industry security standards such as GDPR. Stay updated with emerging technologies, especially in Generative AI, Machine Learning, cloud computing, and microservices architecture. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 6+ years of hands-on experience in Python development, with expertise in Django, Flask, or FastAPI. Ability to design and build end-to-end applications and API integrations Proven experience with large language models (LLMs) and AI model development Experience with developing retrieval-augmented generation (RAG). Experience with GenAI tools like Langchain, LlamaIndex, and open-source Vector DBs. Exposure to prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Experience with relational databases such as MS SQL Server, PostgreSQL, and MySQL. Expertise in DevOps practices, including Docker, Kubernetes, and CI/CD tools like GitHub Actions. Deep understanding of microservices architecture and distributed computing principles. Strong knowledge of security best practices in software development. Familiarity with data analytics and visualization tools such as Snowflake, Looker, Tableau, or Power BI. Excellent problem-solving skills and the ability to work independently and within a team. Strong communication and stakeholder management skills. Location: Hyderabad (Hybrid Work Model)