Software Engineer, Enterprise Platform Engineering

Position Summary


Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.


Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.


Enterprise Platform Engineering (EPE) delivers the technical platform that empowers Two Sigma's people and trading businesses to rapidly scale, collaborate, and innovate while minimizing risk. Our team is responsible for massively scaled infrastructure and systems that power workflows across research, simulation and live-trading. We develop frameworks and applications that enable other engineering teams and business users to accomplish business critical goals, with a focus on robust design and high-quality code.



You will take on the following responsibilities:

• Design, build, and maintain scalable, distributed infrastructure platforms across on-premise and the public cloud that enable engineers and data scientists to deploy and operate workloads efficiently.
• Evaluate and integrate new technologies (such as Gen AI) and open-source tools into the platform ecosystem, conducting proof-of-concepts and making data-driven recommendations for adoption.
• Participate in on-call rotations and lead incident response efforts, conducting thorough post-mortems and implementing preventive measures to improve system resilience.
• Define and promote platform engineering best practices, architectural patterns, and technology standards across the organization through documentation, training sessions, and hands-on support.
• Lead cross-functional platform initiatives from conception to delivery, coordinating with multiple engineering teams, product managers, and collaborators to define requirements, establish timelines, and ensure successful adoption of new platform capabilities.

You should possess the following qualifications:

• Minimum 1 year of experience required; 5-12 years of experience in software engineering preferred
• BS or MS degree in Computer Science, Engineering, or a related field
• In-depth knowledge of Linux operating system and network fundamentals. Good understanding of system performance
• Experience of working on large distributed system
• Experience with Python, Java, or C++
• Background in GenAI-driven systems development is a plus

You will enjoy the following benefits:

• Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
• Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
• Learning: Tuition reimbursement, conference and training sponsorship
• Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
• Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $250,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.


We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.


Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.


If you believe you need an accommodation, please visit our website for additional information.