Senior Software Engineer

Larx is building decision intelligence infrastructure for mission-critical environments-transforming complex, fragmented data into clear, actionable insight.

We are seeking a Senior Software Engineer to help build and scale the Larx platform. You will develop robust software solutions for multi-source data integration, AI-enabled analysis, and operational workflows while helping shape the technical foundation of a fast-growing company.

This role is ideal for an experienced engineer who enjoys solving difficult problems, working across disciplines, and building dependable systems for users operating in complex, high-consequence environments.

• Design, develop, and maintain the software systems that power Larx’s decision intelligence platform.
• Build and optimize APIs, backend services, data pipelines, and database architectures.
• Improve platform performance, reliability, security, and scalability as Larx grows.

• Collaborate with data scientists, engineers, and product leaders to integrate advanced analytics and AI models into operational workflows.
• Connect disparate data sources, services, applications, and analytical tools within a unified platform.
• Ensure interoperability across cloud, edge, on-premises, and mission-specific environments.

• Develop new approaches for ingesting, processing, analyzing, and presenting complex data.
• Identify opportunities to simplify data workflows and reduce cognitive burden for users.
• Evaluate emerging technologies and determine where they can create meaningful product or mission value.
• Work through ambiguity and make sound technical decisions in a rapidly evolving environment.

• Work closely with Larx’s CTO and leadership team to align engineering priorities with product and company strategy.
• Contribute to architecture decisions, technical planning, and engineering best practices.
• Mentor junior engineers and support their technical development.
• Help foster a collaborative, accountable, and high-performing engineering culture.

• Develop and maintain automated testing, debugging, and quality-assurance practices.
• Support system monitoring, logging, troubleshooting, and ongoing maintenance.
• Identify and resolve performance bottlenecks and reliability issues.
• Build software that users can trust in mission-critical environments.

• Bachelor’s degree in computer science, software engineering, information systems, or a related technical field—or equivalent professional experience.
• Five or more years of professional software engineering experience, including experience building and maintaining production systems.
• Experience developing APIs, backend services, databases, and data-intensive applications.
• Strong understanding of software architecture, automated testing, debugging, and performance optimization.
• Experience working collaboratively across engineering, data science, product, and design teams.
• Ability to operate independently, manage competing priorities, and make progress in a fast-moving startup environment.
• Strong written and verbal communication skills.
• A thoughtful, pragmatic approach to technical problem-solving.

Experience in one or more of the following areas is especially valuable:

• AI/ML model integration and agent-enabled analytical workflows
• Distributed systems and high-volume data pipelines
• Structured and unstructured data processing
• Knowledge graphs, graph databases, or advanced data architectures
• Secure software development for mission-critical applications
• Defense, national security, aerospace, energy, or other complex operational domains

At…