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Sr. Software Engineer
2 months ago
Location: Philadelphia, PA 19112
Job Type: Contract (5 months and 20 days)
Note: Hybrid Job Description: We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:
Building a next-generation data experience for scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics”.
Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.
Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time. The Sr. Software Engineer is a technical contributor who enjoys solving complex problems as part of a collaborative and agile team.
We are seeking engineers who are passionate about technology and learning, as well as supporting DevOps tooling to enable other engineering teams to operate with a DevOps ethos. Job Responsibilities: Collaborate closely with Product and Engineering teams to build new features and capabilities for our services.
Propose and define good engineering practices to be adopted by the organization.
Work in a multi-disciplined engineering team to deliver capabilities that empower other platform and engineering teams.
Continuously and proactively identify and develop areas to improve monitoring/alerting, reliability, performance, and automation.
Develop automated solutions and integrations to enable fluid self-service flows.
Write, review, and maintain code written in JavaScript/TypeScript (Node), golang, and Python.
Automate away the process of managing capacity, safely deploying software, and mitigating system failures.
Continuously learn by staying up to date on the latest technology trends in our space, feed recommendations back to the teams with RFCs (Request for Comment). Skills & Experience Required: Bachelor's degree in relevant field.
Master's degree or Ph.D. highly preferred. Deep knowledge and use of at least one common programming language: e.g., Python, Ruby, JavaScript/TypeScript, go, including toolchains for documentation, testing, and operations / observability.
Expertise with non-imperative programming paradigm.
Deep expertise in modern software development tools / ways of working (e.g., git/GitHub, DevOps tools, metrics / monitoring, etc.).
Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure-as-code.
Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, GitHub Actions, Azure DevOps, CircleCI, GitLab).
Solid understanding of and experience with networking, virtualization, storage, containers, and serverless.
Expertise in designing highly available and scalable systems, implementing performance monitoring on those systems.
Demonstrated excellence with agile software development environments using tools like Jira and Confluence.
Deep familiarity with the tools, techniques, etc. relevant to their specialization area, including engagement with the open-source community (and potentially making contributions to such tools).