• Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance from senior engineers. • Implement and evolve APIs and services that generate enriched narratives from attack data, enrichment signals, and GenAI/LLM agents, following established contracts and patterns. • Contribute to data models and explainability contracts that make complex threat decisions more understandable to customers and internal analysts. • Write high-quality, well-tested Python/Django and React/Typescript code, focusing on correctness, performance, and maintainability. • Participate in owning SLAs/SLOs, observability, and incident response for Threat Narrative and Email Details services by building and improving dashboards, alerts, and runbooks in the areas you own. • Collaborate closely with Product, CS, GTM, Threat Intel, Detection, and DS partners to ensure narrative experiences clearly communicate attack context, value, and outcomes for customers. • Engage in design and code reviews, learn from more senior engineers, and surface opportunities to simplify, derisk, and improve existing systems.

• Shape the core areas of Platform Infrastructure such as compute (EC2/EKS, autoscaling, container runtime) and orchestration (Kubernetes, workload APIs, multi-cluster, policy/quotas), as well as data platform (streaming, batch, durable storage, data tooling)—with demonstrated depth in at least two of these. • Design and drive platform architecture & roadmap to support Abnormal’s expanding AI/ML portfolio—scaling seamlessly across services, tenants, and regions. • Partner deeply with product & ML workflows to make pragmatic trade-offs, accelerating our shift to a platform-first operating model and enabling self-service. • Raise the bar on operational excellence (SLOs, availability, performance, incident response, change management, on-call hygiene) and help teams consistently meet it. • Act as the team’s technical lead: define quarterly roadmaps, de-risk delivery, mentor engineers, and land high-leverage, cross-team initiatives. • Champion AI-native software development, guiding teams on architecture, data gravity, feature stores, model/service interfaces, and evaluation pipelines. • Own cost-conscious engineering, optimizing design and operations to balance performance, reliability, and spend (capacity planning, right-sizing, caching, storage tiers). • Instill strong platform product practices: crisp APIs, great docs, clear SLAs/SLOs, telemetry by default, and paved paths that increase developer velocity.

• You’ll play an integral role in building our cutting-edge platform using technologies like TypeScript , React , Svelte , and serverless AWS microservices. • Immerse yourself in our tech stack : Microfrontends, serverless AWS, and best-in-class developer tooling and automation. • Be part of a cross-functional dream team : Collaborate with full-stack, backend, and frontend developers, designers, and product managers to deliver impactful features. • Work end-to-end : From ideation to delivery, you’ll team up with product management and design to bring features to life and make product decisions. • Take ownership : Got an idea? Draft an RFC (Request for Comment), drive the initiative, and own it from start to finish. • Foster growth : Mentor colleagues, share knowledge, and continuously learn new technologies. • Innovate with agility : Participate in diverse, exciting development projects, leveraging pair programming and agile methodologies.

About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible. What you will do: As part of our core engineering team, you will develop systems that monitor and predict flight trajectories for large-scale systems of air traffic. You will develop and ship new features frequently and distill real-world, high-impact optimization problems into elegant technical solutions. You will work with a cutting-edge tech stack, including Kubernetes, AWS, Helm, Terraform, Grafana, Prometheus, PubSub, and Dataflow. What we value: - Proficiency in at least one modern programming language. We work in Rust and Python and expect you to have the foundation to quickly learn these languages.. - Familiarity with optimization algorithms, domain modeling and data structures, and cloud infrastructure. - A bias for action. When you see a problem, you solve it. - An aptitude for learning quickly. - The ability to write fast and efficient code. - Intellectual curiosity. - Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality. What we offer: - Flexible Working Hours: With a global team supporting 24/7 mission-critical operations, we have to be at our best, so we’ve adopted flexible hours to allow for balance. - Premium Healthcare and Health Insurance: Health and wellness are critical to living a happy and resilient life. We provide first-class medical, dental and vision coverage to you and your dependents. - Competitive Salary & Equity: Our team is our biggest asset. We value the hard work that each person commits to us, so we provide competitive, transparent compensation packages. - Generous relocation package to assure smooth relocation to Tricity area. - High Energy Environment: We live by the mantra that now is better than never. You will find yourself surrounded by peers who constantly challenge the status quo. - Flexible Time Off: We encourage you to take time off as you need it. While our team is hard-working, our success is measured by output—not time spent. - Office, Equipment & Tools: We bring the best tools to the mission, from ergonomic desk setups to modern productivity software. We have a freshly prepared team breakfast and lunch every day. How do we hire: We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.