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Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our ideas are better, our products are better, and our customers are better served. 

The Microsoft Cloud for Financial Services team is a globally distributed engineering team aiming to bring the power of the Microsoft Cloud to next-generation foundational capabilities for digital financial markets. Come create transformational results for our customers using Azure and AI, with a critical focus on the performance, reliability, security, and regulatory compliance needs of the financial sector. Our multi-disciplinary team members contribute directly to Microsoft’s mission to empower every organization on the planet to achieve more.

We are looking for a new Software Engineer 2 to join us on the journey of delivering the building blocks for digitally transforming financial industry workloads across the world. Are you excited to learn and explore many aspects of the depth and breadth of Azure, Microsoft 365, Co-Pilots, and Microsoft Fabric? Are you ready to build customer centric products that meet regulated industry requirements with Microsoft’s cloud infrastructure & platforms by considering scale, resiliency, and security needs of our customers? Are you interested in joining a continuously learning, globally collaborating team dedicated to innovation and embracing diverse perspectives? Then come and join us!

Responsibilities

As a Software Engineer 2 on the Microsoft Cloud for Financial Services team, you will participate in the development of the industry offerings, leveraging cutting-edge technology on copilots and contributing to strategic partnerships with the ecosystem.

Your responsibilities will include –

• Building multiple prototypes to vet the architectural approaches for Natural language to code generation systems such as for Domain specific languages (DSL).

• Building approaches to domain specific knowledge graphs/ontologies to be queryable in LLM responses

• Enabling industry specific entity recognition with custom models/advanced RAG patterns such as GraphRAG etc.

• Realizing architectural discussions and decisions, carrying out selected technologies, designing scalable and sustainable solutions, and planning for future growth.

• Build scalable, high-performance software services over large datasets with low latency and high availability.

• Ensure the platform adheres to Microsoft’s strict data privacy and compliance standards.

• Collaborating with team members(across the globe) and other engineering teams to ensure the successful integration of individual components into the larger system.

• Proactively identifying technical debt to maintain alignment to the standardized MSFT platforms impacting the performance or reliability of the software and devising solutions.

• Constantly staying informed about the latest developments in the LLM and generative AI field and identifying opportunities to apply new methods or technologies to improve the copilot offerings

• Taking part in code reviews, both as a reviewer and a reviewee, to ensure the quality of the software and promote best practices within the team.

• Engaging with stakeholders, including team members, other teams, and customers, to gather feedback and ensure the software meets their needs.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

• 2+ years of relevant software design, development, and delivery experience in C/C++/C#, Java, Python or related languages 

• Experience with LLMs and ML

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Experience on python, pytorch, large language model, generative AI.

• Experience building knowledge graphs and domain specific ontologies

• Experience in indexing technologies/semantic search.

• Passion for machine learning, artificial intelligence, and data science.

• Experience working on large-scale projects or applications

• Experience with distributed systems design and implementation

• Effective communication skills and ability to collaborate with diverse remote teams

• Quick learner with a passion for solving complex and exciting problems.

• Familiarity with Azure is a plus

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .