Reliability Engineer - Trading
Two Sigma · New York, United States · 1d ago
Mid levelOn-siteDevOps, SRE & Infrastructure
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.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems.
The Trading Reliability Engineering team works to improve the reliability, operability, and maintainability of our core trading systems. Their project work focuses on enabling business initiatives, reducing risk, improving visibility, and increasing operational efficiency. The 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.
You will take on the following responsibilities:
- Lead engineering and operational support for multiple large distributed software applications, including much of the foundational trading infrastructure in the firm
- Improve all aspects of software reliability of our trading environment, including observability, operability, scalability, and availability through new development and break-fix/support initiatives
- Gathering and analyzing metrics from both operating systems and applications to assist in performance tuning and fault finding
- Develop integral software services, tools and libraries to be utilized by our software engineering, reliability engineering, partner trading desks, and research teams to automate processes and reduce toil
- Partner with traders and portfolio managers to deliver business value across multiple asset classes
You should possess the following qualifications:
- Minimum 1 year of experience required; 7+ years of experience preferred in Reliability Engineering
- BS/BA degree in Computer Science or another highly technical, scientific discipline
- Ability to program (structured and OO) with one or more high level language (such as Python, Java, C++)
- Proven track record for automating processes combined with an algorithmic approach to solving problems
- Ability to profile and debug applications in real time
- Knowledge of relational database concepts and having the ability to construct moderately complex SQL queries
- Trading domain and order lifecycle management knowledge 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.