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Sr. Full Stack Developer

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Direct Hire

$130,000 - $200,000 / yr


Job Description: The client is a highly performant team of data scientists and software engineers dedicated to innovating in the InsurTech space, and delivering cloud-native solutions driven by machine learning. We set a high bar for our software engineers in terms of depth and breadth of experience, with a focus on cloud architecture, micro services, data pipelining, and dev/ops. The developers that thrive here are ones that are software agnostic, problem solvers, and have worked along Data Scientists at some point.

 
Duties and Responsibilities:
  • Build and deploy cloud native APIs and architectures to deliver machine-learning solutions at scale
  • Continuously work to improve and model industry best practices as it relates to system architecture, tooling, CI/CD, testing, and software design
  • Work with business stakeholders and collaborate with other embedded engineering teams to deliver solutions to complex customer problems on time
  • Be flexible, forward-thinking, and able to pick up new skills, tools, and languages as needs evolve and change
  • Deploy applications to the cloud professionally and in an automated fashion

Skills and Qualifications:

  • Strong acumen in at least one major, general-purpose language (e.g. Python, Java, C#, etc.); Python preferred
  • Minimum 2 years’ experience developing cloud services (e.g. AWS, GCP, Azure)
  • Understanding of CI/CD systems and Infrastructure as Code (IaC)
  • Extensive experience with containerization; Kubernetes experience is a plus
  • Data pipelining experience preferred (e.g. Spark, Dask, Luigi, Airflow, etc.)
  • API design and execution (thorough understanding of REST is a must; gRPC and GraphQL are a plus)
  • Database design and understanding of both relational and NoSQL data stores
  • Exposure to Data Science frameworks (Numpy, Pandas, Tensorflow, Pytorch, etc.) is a plus

About Our Tech Stack:

  • Python (various web frameworks including FastAPI, Flask, Falcon, and Django).
  • Services containerized and deployed to Kubernetes (and sometimes Fargate).
  • Data pipelines orchestrated by Luigi.
  • Data parallelization done in containers using AWS Batch/Kubernetes
  • Some applications deployed on AWS, others on GCP.
  • Utilization of AWS Lambda, AWS Batch, GCP Cloud Functions, and GCP Cloud Run.
  • Code repositories and issue backlogs stored in Gitlab.
  • ArgoCD and Terraform Enterprise incorporated into our CI system and utilized for deployment.
  • Extensive use of the HashiStack (Consul, Vault, Terraform).
  • Datadog for tracing, monitoring, and logging.
  • Use of Pomerium Identity-Aware Proxy (IAP) for authentication.
  • Foxpass VPNs to connect to our VPCs, though we are moving towards a zero-trust model.
  • Slack and Zoom for team communication.
You’ll Fit Right in if You…
  • Want to make a real difference as part of a proven industry-leading team.
  • Are always asking “why?” and “what’s next?”
  • Can’t wait to attend upcoming scientific and technical conferences<./li>
  • Want to experience both a start-up culture and large company resources<./li>
  • Value diverse opportunities and perspectives.
  • Operate with a bias for action.


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