Reliability Engineer
Reliability Engineering
The Reliability Engineering teams in New York are responsible for critical systems and data underlying Two Sigma’s research and production. Each team is a collection of highly collaborative engineers from a range of backgrounds (prior finance experience not required) that all share a passion to improve our systems and to learn from one another while doing so.
Responsibilities
- Lead engineering and operational support for some of the firm’s most critical systems.
- Software development of systems, services, tools and libraries.
- Improve all aspects of software reliability, including observability, operability, scalability, and availability.
- Build and maintain automation focused software to enable us to craft maintainable and scalable systems.
- Adhere to rigorous change management controls, including a commitment to continuous improvement of our tests and automated checks.
- Collaborate with our software engineering teams on architectural and product design, reliability, performance, support issues and improvements to our tools, processes, and software.
- Own the daily operation and monitoring of a production-critical environment.
- Participate in an on-call support rotation.
Qualifications
- Minimum 1 year of experience required; 5+ years of experience preferred in Reliability Engineering.
- BS/BA degree in Computer Science or another highly technical, scientific discipline.
- Ability to program (structured and object-oriented) with one or more high level languages such as Python, Java, C++, Rust.
- Proactive approach to problem identification and resolution and continuous development and automation.
- Proven track record for automating processes combined with an algorithmic approach to solving problems.
Preferred Qualifications
- Experience with UNIX or Linux systems.
- Experience working with distributed systems and low-latency applications.
- Experience with networking fundamentals.
- Experience working directly with external counterparties on issue resolution.
- Experience with Python.
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
Pay
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.
About the Role
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Skills
The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
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
Schedule
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.
Equal Opportunity Employer
We are committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.