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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, insurance technology, 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.
Storage Reliability Engineering is a versatile group of full stack engineers, at the front line of maintaining and rapidly growing the capabilities of Two Sigma’s diverse distributed storage ecosystem! The team exists in the space between software development and systems administration, and seeks to merge the capabilities from both specialties.
You will take on the following responsibilities:
  • Developing and supporting multiple, large distributed software applications and storage infrastructure systems
  • Improving all aspects of system, infrastructure, and software reliability, including better monitoring, alerting, and documentation
  • Developing tools and automation to support and scale our storage infrastructure environment
  • Evaluating and implementing both homegrown and commercial Storage services for use within Two Sigma consisting of NAS appliances, Object storage, Block Storage environments, and other technologies
  • Capturing and analyzing metrics from operating systems, applications, and storage environment to assist in performance tuning and fault-finding

You should possess the following qualifications:
  • BS in Computer Science or another highly technical, scientific subject area
  • Minimum 1 year of experience required; 1-10 years of experience preferred with host-based networking, Linux/UNIX administration, storage technologies (NFS, HDFS, Ceph, S3), systems programming, distributed systems, host based networking, databases, and cloud computing (EC2, GCS)
  • Ability to program (structured and OO) with one or more high level languages such as Python, Java, C/C++, Go
  • The ability to use off the shelf and open-source systems and utilities to provision production systems in a variety of domains, especially for multi-tenant use
  • A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
  • Experience with automated configuration management tools like Ansible, Chef, Puppet, SaltStack
  • Experience with observability and monitoring technologies such as New Relic, Datadog, Prometheus, Nagios, VictorOps, Splunk

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 $325,000. 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.