We are looking for a mid-level engineer (equivalent to Level 4) with 3–5 years of professional software development experience across full-stack technologies, ideally with a proven track record of shipping production-grade systems in dynamic environments.
Technical skills and experience:
- Fluency in Go (Golang) for backend services and React with TypeScript for frontend development, with the ability to rapidly develop and optimize AI-focused interactive systems.
- Deep experience working with cloud-native AWS services, including Lambda, API Gateway, S3, Aurora, and Cognito, and familiarity with event-driven architecture patterns.
- Strong knowledge of designing and scaling RESTful APIs backed by PostgreSQL databases that support AI inference or automation workflows.
- Solid engineering fundamentals coupled with a strong bias for learning quickly, iterating at pace, and leveraging AI tools and large language models (LLMs) to accelerate development velocity and precision.
Soft skills and traits:
- A passion for clean, human-centered UX design, especially in AI-augmented interfaces.
- Self-motivated mindset with the ability to work effectively in a remote-first, fast-moving team environment that values ownership and experimentation.
- Strong collaboration and communication skills to partner with cross-functional teams and leadership.
These qualities make you well-suited to contribute meaningfully to our mission of delivering cutting-edge AI-powered public safety solutions.
Blazestack is a technology company focused on creating mission-critical software solutions tailored to public safety teams. The company leverages AI and modern cloud technologies to design intelligent systems that enhance real-time decision-making and operational efficiency in sensitive and high-stakes environments. Within Blazestack, you will join a team dedicated to building advanced AI-accelerated features and scalable infrastructure that drives innovations in public safety software. The development efforts encompass both backend and frontend components, integrating event-driven workflows, serverless architectures, and human-centered user interfaces to support real-world applications with strong security and compliance requirements.
- Design and deliver AI-accelerated, full-stack features using Go (Golang) on the backend and React with TypeScript on the frontend.
- Architect and implement secure, scalable APIs and event-driven workflows leveraging AWS services such as Lambda, Aurora, S3, Cognito, and API Gateway.
- Drive infrastructure automation and continuous delivery pipelines using Terraform and infrastructure-as-code principles to support AI-native cloud deployments.
- Build intuitive, high-performance user interfaces using ShadCN UI components and modern React patterns aimed at seamless human-AI interaction.
- Collaborate closely with product managers and engineering leadership to translate complex AI concepts and use cases into reliable, production-grade software solutions.
- Maintain best practices for security, scalability, and performance in cloud-native environments, especially in sensitive data contexts relevant to public safety.
- Experience with Terraform or other infrastructure-as-code tools to automate deployment pipelines and manage scalable cloud infrastructure.
- Interest or hands-on experience with serverless design patterns and event-driven architectures that enhance AI-powered systems.
- Familiarity with security best practices and compliance standards such as CJIS, FedRAMP, or other frameworks applicable to data-sensitive, high-trust environments.
- Demonstrated curiosity and/or experience working with AI workflows, including integrating tools powered by large language models (LLMs), embeddings, or intelligent agents.
- A strong eye for polished, clean UI design and user experience that facilitates efficient human-AI collaboration.
