Summary
Join Axon's Platform team and contribute to solving challenging cloud infrastructure problems. This remote role involves leading the development and optimization of Axon's datastore platform, utilizing cutting-edge technologies like Kubernetes and various cloud services. You will lead coding, configuration management, and code reviews, while collaborating with cross-functional teams to ensure efficient and scalable data management. The ideal candidate possesses extensive experience in software development, cloud technologies, and large-scale system design. Axon offers a competitive salary, comprehensive benefits, and opportunities for professional growth.
Requirements
- This position involves handling of classified federal data; under federal regulations, it is open to US Citizens only
- Bachelor's Degree in Computer Science or Engineering or relevant work experience
- 10+ years of professional software development experience
- Experience and depth designing complex systems at scale
- Experience and depth with microservice architectures and patterns
- Experience and depth with Cloud (i.e. Azure, AWS, GCP, etc.) hosted services, architectures, and patterns
- Experience and depth with observability platforms like Grafana, DataDog, or New Relic
- Experience with various relational and noSQL datastore solutions with the ability to go deep on at least one technology (e.g. MySQL, Cassandra, etc.)
- Experience and depth with queueing solutions like Kafka
- Experience and depth with IaC platforms like Terraform, Pulumi, etc
Responsibilities
- Lead coding, configuration management, and code reviews
- Lead and participate in datastore optimization and long-term choices to standardize Axon's datastore platform
- Build out an automated k8s-based platform to manage the lifecycle of datastore technologies
- Join forces with peers across Axon to facilitate application design as it relates to the consumption of datastore technologies
- Develop a platform that vends datastore solutions and promotes best-practice utilization patterns
- Partner with our application teams to troubleshoot and suggest datastore utilization optimizations
Preferred Qualifications
- Masters degree
- Platform automation tooling and/or developer experience tooling
- Monolith migrations to microservice architectures
Benefits
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs