Software Engineer - ADM at Addepar in Pune, India
- Company: Addepar
- Location: Pune, India
- Posted: Sep 18, 2026
- Type: Full-time
- Experience: 3+ years
Overview
Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see …
Job description
- Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies.
- Addepar is building solutions to support our clients' alternatives investment strategies. The alternatives data management product is a serverless, modular and terraformed stack. We're hiring a Senior Software Engineer to design, implement and deliver modern software solutions that ingest and process ML-extracted data. You will collaborate closely with cross-functional teams including data scientists and product managers to build intuitive solutions that revolutionize how clients experience alternatives operations.
- You will work closely with operations engineering on document-based workflow automation and peer engineering teams to define the tech stack. You will iterate quickly through cycles of testing a new product offering on Addepar. If you've crafted scalable systems, or worked with phenomenal teams on hard problems in financial data, or are just interested in solving really hard technical, critically important problems, come join us!
- Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.
Responsibilities
- Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code.
- Lead individual project priorities, achievements, and software releases.
- Collaborate with machine learning engineers to bring ML-extracted data into the backend stack of the application in Python or other languages.
- Collaborate with product managers and client teams on product requirements iterations, design feasibility and user feedback.
- Document software functionality, system design, and project plans; this includes clean, readable code with comments.
- Learn and promote engineering standard methodologies and principles.
Requirements
- At least 3 years of Backend development experience
- In-depth knowledge of Python or Java similar
- Experience with NoSQL databases
- Experience with serverless architecture
- IaC (infrastructure as code), preferably terraform
- Solutions-oriented, with exceptional analytical and problem solving skills
- Experience with AWS is a strong plus.
- Experience with DynamoDB, OpenSearch/Elasticsearch
- Familiarity with writing, debugging, and optimizing SQL queries
- Knowledge of front end development is a plus.
- Experience in fintech (wealth/portfolio management domain) is a plus.
Skills
Required
- Backend development
- Python or Java
- NoSQL databases
- Serverless architecture
- Analytical and problem solving skills
Preferred
- AWS
- DynamoDB
- OpenSearch/Elasticsearch
- SQL
- Front end development
About Addepar
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.