Axon Productivity is building modern software for law enforcement, and the Knowledge Systems & Insights area needs to manage the backbone of their data ecosystem, including the Knowledge Graph, search, analytics, and data exchange, to ensure law enforcement has access to the right data at the right time with privacy, accuracy, and availability guarantees.
Requirements
- 8+ years of software engineering experience, designing and operating large-scale, distributed data systems spanning OLTP, OLAP, and real-time processing domain
- Deep expertise in data architecture and infrastructure, including scalable storage systems, stream processing (e.g., Kafka, Kinesis), data lakes or lakehouses, and search platforms (e.g., Elasticsearch, OpenSearch).
- Fluency in modern cloud-native technologies, including Kubernetes, infrastructure-as-code (e.g., Terraform), CI/CD pipelines, and observability stacks.
- Strong programming skills in both systems and data-oriented languages (e.g., Go, Java, Scala, Python, SQL) and familiarity with Spark/Databricks for large-scale transformations.
- Proven experience leading cross-functional technical initiatives, including driving architecture reviews, defining SLOs, resolving incidents, and mentoring senior engineers.
- Good understanding of data governance, security, and compliance with a bias for automation and auditability.
Responsibilities
- Lead design and development of scalable, high-availability data platforms supporting mission-critical features such as real-time 911 data ingestion,
- Knowledge Graph Index resolution, analytical workloads etc.
- Drive architectural strategy across the data lifecycle, including storage, schema evolution, ingestion pipelines, retention, search, and warehousing—ensuring resilience, extensibility, and cost-efficiency.
- Own end-to-end data integrity and embed compliance (CJIS, agency-specific) and observability into platform infrastructure in partnership with security and product teams.
- Develop and evolve our next-generation storage solutions, leveraging modern data storage patterns to support both transactional and analytical workloads.
- Drive cross-functional architectural strategy, resolving systemic bottlenecks and aligning data models across domains.
- Mentor engineers across multiple squads, act as a design reviewer, and help grow a culture of technical rigor, operational excellence, and ownership in data-intensive engineering.
Other
- This role is based out of our Boston Office and follows a hybrid schedule.
- We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
- Excellent communication and collaboration skills, with the ability to influence architecture across multiple teams and align stakeholders toward long-term data strategy.
- Competitive salary and 401k with employer match
- Discretionary paid time off
