Python/DevOps Engineer

Vatic Labs•New York, NY

1d•$125,000 - $250,000•Onsite

About The Position

Our technology team is seeking talented engineers who are interested in building and supporting globally distributed trading and research systems. You will collaborate with software, hardware, and systems engineers to build and optimize tools that will improve the efficiency and operations of our systems. Strong Python and CI/CD skills are a must, as is a keen eye for automation. Given our growth and expansion plans, there is tremendous opportunity for contribution and expansion of your skills in this role. If you love working in a high impact and fast paced role, this is the perfect job for you!

Requirements

3+ years experience supporting large-scale, distributed systems, preferably in a cloud computing environment
Knowledge of GCP IAM permission and user management
Experience using terraform to manage and tag resources
Prior exposure to kubernetes cluster and application management
Familiar with techniques on managing fleets of VMs, including metrics collection, alert configuration, and log ingestion policies
Experience supporting and building high-quality tools for backup, deployment, testing via automation
Experience with Continuous Integration/Continuous Design support & technology integration, management, etc.
Performance tuning/optimization of systems/software
Strong experience with Python Development in a Linux environment, with an emphasis on automation
SQL, Shell and Bash scripting skills
Experience in developing developer tools or CLIs
Knowledge of streaming processes or Kafka
Previous experience in working with relational and columnary databases
Strong analytical and problem-solving skills
A passion for technology and innovation
Excellent communication skills
Confident team player motivated by a fast-paced environment
Bachelor's degree in Computer Science or Computer Engineering, or its equivalent

Nice To Haves

Previous experience in financial/exchange protocols is a plus

Responsibilities

Designing and implementing automated Continuous Integration/Continuous Design (CI/CD) tools, including Kubernetes
Benchmarking and tuning critical software services to achieve optimum performance internally and at all the venues we connect to around the globe
Building systems to monitor real-time production trading systems
Collaborating with trading and research teams to deploy and support mission critical systems
Working with and administering high performance database instances
Working with Google Cloud Compute platform to facilitate researcher use cases