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Sr Backend Software Engineer - WA

RadiusAIBellevue, Washington, United StatesOnsite
This job is no longer open

About Us


RadiusAI is an early-stage startup that is helping brick & mortar retailers revolutionize retail customer experience with innovative products like ShopAssist.

About Team


 In this role you'll work closely with a team of 4-6 other people who are responsible for the design, development, deployment, and triage of the systems and tools required to support the operation and rollout of our computer vision software at thousands of remote locations. The team wears multiple shared hats which can relate to network engineering and security, release management, tooling development, as well as cloud, on-prem and colocation infrastructure administration and design. You will help contribute to an existing set of DevOps practices, the software implementation, troubleshooting, enhancement, and integration with other teams and potentially clients.

This is a small but nimble team who must adjust quickly to the changing landscape and is a critical component of many new projects.

In this role You will


- Play a role as a Senior engineer who can take end to end ownership and accountability of a task and guide it through the finish line with little or no hand holding - Work with two mindsets, balancing work between an operational task list as well as a development focused Kanban board - Provide insight and advice to other team members with regard to software development and design - Develop, review, test, and troubleshoot code as well as debug networking and software errors in a linux environment - Working the US daytime hours and collaborate with team members and coworkers through video meetings - Receive support escalations from other teams related to automation or system administration - Managing infra and patching for our Data Science teams which run software such as Dkube, CVAT, etc

Technical Expertise


- 4+ years of experience with Python and Shell scripting - 3+years of experience with Git CLI, Git branching strategies, release management, merge conflict resolution - 3+ years of Professional experience with container orchestration and administration (K3S, AKS, Rancher, Docker etc) - Strong with Ubuntu/Debian based Linux distros, comfortable resolving network and filesystem issues - 3+ years Professional Experience with CI/CD and writing build/test/deployment automation preferably with Github Actions or Gitlab CI - 2+ years of Professional Experience with Infrastructure as Code (prefer Azure with either Terraform/Pulumi/ARM/Bicep) - Working knowledge of DNS and tools used to troubleshoot related issues

Nice to have:


- Strong OOP and software engineering experience with Python (Golang and Rust are a bonus) - Knowledge of Kafka is a plus - Experience deploying and maintaining observability stacks such as ELK, Prometheus, Jaeger, etc - Understand how to query relational and No-SQL databases - Configuring hardware Firewalls (Sophos, Cisco, Fortinet, Juniper, etc) - Experience troubleshooting VPN, working with SSH tunnels, Cloudflare Warp

Benefits



  • Work on-site

  • Competitive Salary and stock options based on qualifications

  • Full health care coverage including dependents (health, vision, dental, life)

  • Commuters Benefit

  • 401K plan

This position is located in our Bellevue, WA OfficeSalary Range based on qualification: $70K to 160K

This job is no longer open

Life at RadiusAI

RAI is a US based computer vision analytics company providing real-time data to help create greater operational efficiency in health care, retail, and critical infrastructure.
Thrive Here & What We Value1. Earlystage startup with a promising future2. Passionate about data and making a difference3. Small but nimble team who must adjust quickly to the changing landscape4. Collaborative work environment5. Emphasis on continuous learning and professional development6. Innovative products and solutions to revolutionize retail customer experience7. Cutting edge Viztel™ platform for realtime data8. Multicamera tracking, rapid, and cost-effective, edge processing, and customized offers9. Dynamic DevOps team that values collaboration and teamwork10. Strong commitment to innovation and staying up-to-date with industry trends in data engineering
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