Software Engineer, Nova

Flock Safety Inc.

Job Overview

Location

Remote - USA

Job Type

Full-time

Full Job Description

📋 Description

• Serve as a customer-facing Software Engineer on the Nova team, building and scaling integrations that connect Flock’s crime-reducing technology with customer systems in law enforcement, schools, and businesses.
• Design, implement, and deploy tailored technical solutions to enable seamless data exchange between Flock’s platform and external customer environments, ensuring reliable and secure data flow.
• Collaborate directly with customers to understand their technical infrastructure, including network configurations, firewalls, VPNs, and IP whitelisting requirements, and translate those needs into actionable engineering solutions.
• Lead end-to-end integration deployments from initial discovery through production rollout, troubleshooting connectivity, authentication, and data format issues in real-world environments.
• Write and optimize SQL queries to extract, transform, and analyze data from diverse sources, ensuring accuracy and performance in high-volume investigative workflows.
• Work with RESTful APIs to integrate Flock’s platform with third-party systems, managing authentication protocols, request/response structures, and error handling.
• Utilize cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes) to support scalable, secure, and maintainable deployment architectures.
• Work with common data formats including JSON, XML, and CSV to structure, validate, and process data exchanged between systems.
• Contribute to improving internal documentation, integration templates, and deployment processes based on real-world customer feedback and operational challenges.
• Act as a trusted technical partner to customers, translating complex technical concepts into clear, non-technical explanations to facilitate adoption and trust.
• Travel onsite to customer locations 25–50% of the time to conduct deployments, provide hands-on support, and gather direct feedback on system performance and usability.
• Identify product gaps and feature needs based on customer interactions and integration challenges, influencing the evolution of the Nova platform.
• Participate in collaborative development workflows using Git, contributing code, reviewing peer changes, and maintaining clean, testable, and documented codebases.
• Shadow customer calls and deployments during onboarding to build empathy for user needs and understand the operational context of Flock’s technology in criminal investigations.
• Own the stability and scalability of integrations post-deployment, monitoring performance and proactively addressing issues to ensure continuous operational impact.
• Contribute to enhancing data pipelines and system reliability to support the growing volume of investigations and data requests across Flock’s customer base.

🎯 Requirements

• Proficiency in Python, Java, C++, or JavaScript
• Experience with SQL, including writing and optimizing queries
• Familiarity with RESTful APIs, authentication methods, and request/response structures
• Working knowledge of networking fundamentals (VPNs, firewalls, IP whitelisting, SSL/TLS)
• Experience with Git and collaborative development workflows
• Comfort working with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker or Kubernetes)

🏖️ Benefits

• Flexible PTO plus 11 company holidays
• Fully-paid health benefits including Medical, Dental, and Vision, with HSA match
• 12 weeks of 100% paid parental leave, plus 6–8 additional weeks for birthing parents
• $150 monthly WFH stipend
• $750 one-time home office stipend
• $300 annual productivity stipend for tools like Audible, Calm, or Masterclass

Skills & Technologies

Python

JavaScript

Java

AWS

Azure

Remote

Degree Required

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Flock Safety Inc.

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About Flock Safety Inc.

Flock Safety provides cloud-based automated license plate recognition and video analytics for law enforcement, private communities, and businesses. Its solar-powered cameras capture vehicle details, detect crimes such as theft and violent offenses, and generate evidence packages accessible via a web platform. The company emphasizes privacy controls, encrypted data handling, and configurable retention policies. Deployed across thousands of U.S. neighborhoods and agencies, the system integrates with existing public safety workflows to accelerate investigations, reduce response times, and improve crime clearance rates without adding patrol resources.

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