Senior Site Reliability Engineer I

Axon Enterprise, Inc.
Boston, MA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Code Review Data Stores Programming Tools Distributed Systems PostgreSQL MySQL NoSQL Queueing Systems Reliability Engineering
+14 more
Software Engineering Datadog Pulumi Large Language Models Grafana Build Management Kubernetes Infrastructure Automation Frameworks Information Technology Cassandra Apache Kafka Terraform New Relic (SaaS) Microservices

Job description

Experteer Overview As a member of Axon’s Platform team, you will drive the architectural direction for a Kubernetes-based, self-service platform that ingests, stores, and processes CCTV evidence and related data at scale. You’ll shape datastore patterns, automate infrastructure, and guide cross-team collaboration to improve reliability and performance for millions of users. This role combines hands-on platform work with strategic design decisions that enable rapid, safe innovation. You’ll contribute to a mission-driven culture that values candor, mentorship, and impact. Compensation / Benefits * Set technical direction across platform technologies and standardize datastore patterns * Lead long-term architectural decisions and standardization efforts * Design and build a Kubernetes-based platform for lifecycle management of core infrastructure * Collaborate with engineering teams to influence application design patterns for platform service usage * Build and operate a self-service platform delivering datastore solutions with best practices * Diagnose and resolve datastore performance bottlenecks with application teams * Conduct agentic coding workflows and implement infrastructure-as-code practices * Perform technical code reviews across the platform * Partner with teams to automate scaling, reliability, and automation vs buy vs borrow decisions Tasks * 7+ years of professional software engineering experience * Experience designing and operating complex distributed systems at scale * Deep experience with microservice architectures; migrating monoliths to microservices is a plus * Strong cloud experience (Azure, AWS, or GCP) * Hands-on with observability tools (Grafana, Datadog, New Relic) * Familiarity with relational and NoSQL datastores (e.g., MySQL, Cassandra, PostgreSQL) * Experience with Kafka and message queue systems * Proficiency with infrastructure-as-code tools (Terraform or Pulumi) * Proven ability to design and operate platform automation tooling or developer experience tooling * Experience with agentic AI tooling or building LLM-powered developer tools * Bachelor’s degree in Computer Science or Engineering Key requirements * Competitive salary and 401(k) with employer match * Discretionary paid time off * Paid parental leave for all parents * Medical, dental, and vision coverage * Fitness programs * Emotional and mental wellness support

Requirements

platform delivering datastore solutions with best practices * Diagnose and resolve datastore performance bottlenecks with application teams * Conduct agentic coding workflows and implement infrastructure-as-code practices * Perform technical code reviews across the platform * Partner with teams to automate scaling, reliability, and automation vs buy vs borrow decisions Tasks * 7+ years of professional software engineering experience * Experience designing and operating complex distributed systems at scale * Deep experience with microservice architectures; migrating monoliths to microservices is a plus * Strong cloud experience (Azure, AWS, or GCP) * Hands-on with observability tools (Grafana, Datadog, New Relic) * Familiarity with relational and NoSQL datastores (e.g., MySQL, Cassandra, PostgreSQL) * Experience with Kafka and message queue systems * Proficiency with infrastructure-as-code tools (Terraform or Pulumi) * Proven ability to design and operate platform automation tooling or developer experience tooling * Experience with agentic AI tooling or building LLM-powered developer tools * Bachelor’s degree in Computer Science or Engineering Key requirements * Competitive salary and 401(k) with employer match * Discretionary paid time off * Paid parental leave for all parents * Medical, dental, and vision coverage * Fitness programs * Emotional and mental wellness support

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