The Role:

• Senior technical contributor of a project based team within the Data and ML engineering org.
• Drive the development of scalable data-powered APIs by setting up AWS resources using terraform, kubernetes, docker containers, and github actions
• Leverage and improve our workflow orchestration toolset using technologies like DBT and Airflow
• Build streaming data pipelines with Kafka to and from our application ecosystem. 
• Lead development of internal application and analytics data models, while applying best practices for read and write performance, as well as scalability and availability 
• Collaborate with PMs and engineering managers to set sprint plans and timelines
• Mentor and train your colleagues in data, engineering and ML best practices
• Diagnose and resolve technical issues with platforms, including data discrepancies in BI tools Looker and Heap, leveraging your custom alerts and tooling in Datadog

Our tech stack:

• Languages: Python (required), SQL (required), Go (preferred), Typescript (preferred)
• Tools: AWS, Docker, Kubernetes, Airflow, Terraform, Kafka, Snowflake, Postgres, DBT, Fivetran, Datadog

Who you are:

• Deep expertise working with data: Leadership and IC experience with EDA, feature engineering, model development, model deployment and validation in production systems.  
• Experience with being the most senior engineer on a multidisciplinary team of engineers across backend, infra and data; as well as across onshore and offshore teams. 
• Experience as an IC 0→1 implementer of cloud computing resources (preferably AWS), containerization (Docker and Kubernetes), and infrastructure as code (e.g. Terraform)
• Experience in data modeling, schema design, and sysadmin tasks in relational databases. 
• Experience building workflow automation tooling and creating DAGs with sensors in Airflow 
• Experienced in building and managing event-driven ETL pipelines and streaming services
• Experience developing REST APIs that interface with robust and scalable microservices 
• Manage releases and deployment, and work with QE and DevOps to automate testing.
• Comfortable working in an agile development process—and changing the engineering roadmap.
• Engineer with security and compliance as a foundation

How your skills and passion will come to life at Cerebral:

• Passion for data with years of progressive experience as a staff level software engineer
• Demonstrate superb data science and platform engineering skills along with the ability to switch between technology paradigms in application and analytics ecosystems. 
• Curious, love to learn and to dig into new technologies, and can pick them up quickly
• Excellent at communicating - able to explain key concepts in meetings and in writing to stakeholders and teammates from different functions and experience levels
• Maintain startup grit. Willingness and desire to take on personal responsibility for the business as a whole and “figure it out”, whether it’s in your exact functional lane or not.
• Love working with some of the best world-class engineers, product managers, and architects

What we offer: 

• Mission-driven impact:
  • Shape the future of the #1 largest and fastest growing online mental health care company in the world
  • Build a platform that is improving the lives and well-being of hundreds of thousands of people (and counting)
  • Join a community of high achievers who have a passion for promoting mental health
• Path to develop & grow:
  • Bi-annual performance reviews & opportunities for promotions - as Cerebral grows, so should you. We build your goals together and forge a career path that is right for you
• Remote-first model: Work virtually from anywhere in the US
• Competitive compensation & benefits:
  • Total compensation includes equity/stock options
  • Medical, Dental, Vision, Life Insurance, and 401k with employer match to all employees
  • Unlimited PTO - we encourage taking the time you need to relax and recharge
  • Top-tier wellness benefits and perks, including bi-quarterly mental health days (8 per year), No-Meeting-Wednesdays, holistic monthly wellness stipend, and access to on-demand health & wellness content
    • $200 WFH reimbursement
• Culture & connectivity:
  • Virtual social events (e.g., happy hours) enable us to build a sense of community and connect on a more personal level
  • Monthly peer-to-peer recognition allowance via Bonusly allows team members to reward one another for values-aligned contributions
  • Optional in-person company retreats provide an opportunity to augment team-building and celebrate our successes together