Job Opportunities API

About SirenOpt SirenOpt helps manufacturers make better, safer, and more reliable micro- and nano-materials. These materials are the building blocks of critical sectors of the global economy such as batteries, computer chips, aircraft components, and power systems. But, surging material demand and growing complexity are pushing production to unprecedented scales and speeds, leaving manufacturers effectively flying blind. Small, undetected variations during production lead to wastage, lower performance, higher costs, and safety risks. SirenOpt is changing this. Our manufacturing intelligence platform scans materials, revealing critical internal information without damaging them. Using a novel combination of cold atmospheric plasma, physics-informed machine learning, and predictive analytics, SirenOpt creates unique, real-time fingerprints that capture material signals no other method can access. These insights give manufacturers unprecedented visibility into how materials behave as they are made. We turn hidden data into actionable intelligence to help manufacturers reduce variability and thus increase yield and performance. The technology can be deployed as a standalone tool or integrated directly into factory production lines. SirenOpt is currently deploying early versions of its platform with some of the largest industrial manufacturers in the world across North America, Europe, and Asia. Our first commercial product will be released in 2026. Role Overview What is a Lead Software Engineer at SirenOpt? A Lead Software Engineer at SirenOpt is a technical and cultural leader with deep expertise across multiple systems. You will make strategic decisions about major components, serve as a subject matter expert, and drive the quality, performance, and scalability of our products. You are trusted to operate autonomously, define professional standards, and are regularly sought for your judgment and advice. You will own and run critical subsystems, introduce significant improvements, and extend our tools and infrastructure. You will mentor and coach teammates, providing regular, constructive feedback and helping define performance standards. You will manage and grow a team, guiding them technically and culturally, and foster an environment where everyone can become a leader. As a Lead, you take ownership of problems and their resolutions, contribute meaningfully to solutions, and communicate with maturity and clarity, especially under pressure. You plan and drive project cycles, challenge your team to excel, and ensure that processes, documentation, and best practices are maintained. Above all, you embody the belief that strong leadership means sharing credit, taking responsibility, and helping others achieve more than they thought possible. Key Responsibilities Lead the design, implementation, and scaling of critical subsystems related to cold plasma sensing devices and data visualization platforms Make strategic architectural decisions and introduce significant quality, performance, or scalability improvements Mentor and coach team members, fostering their technical and professional growth Provide actionable, high-quality code reviews and ensure consistency across the codebase Plan and drive project cycles, set priorities, and deliver on team and company goals Extend and improve internal tools and processes; identify and oversee tooling enhancements Communicate progress, challenges, and key decisions to leadership and stakeholders Hire, onboard, and develop engineering talent; define and uphold performance standards Promote a collaborative, inclusive, and mission-driven culture, where people work with and for each other Qualifications Advanced proficiency in Python and/or TypeScript Node web stacks Deep experience with Linux environments; experience with Balena Fleet Management, Tailscale, Netdata, and Sentry is a plus Strong experience with data stores such as Redis and Postgres