Backend Engineer, Agent Tools

Build a Safer World. Aperture Cloud Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. Aperture Cloud's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on Aperture Cloud to make the world safer and more secure. Team & position summary We are looking for a Software Engineer, API Integrations to join Aperture Cloud’s AI Engineering team, focused on building the third-party integrations and scalable integration platform that power our AI-native products. You will design and ship reliable connectors, APIs, services, and integration infrastructure that allow Aperture Cloud’s AI systems to access external data sources safely, quickly, and at scale. In this role, you will work closely with engineers, product managers, data teams, and internal users to turn integration needs into production-grade systems. You will help improve the speed, quality, and reliability of how Aperture Cloud connects to external intelligence sources, ultimately supporting our mission to build a safer financial system for the world. The impact you will have: Design, build, and maintain third-party API integrations that power Aperture Cloud’s Agentic products and workflows. Develop scalable integration infrastructure, shared services, and internal tooling that make it faster and safer to add new data sources. Build reliable APIs, backend services, and data pipelines that support high-volume, mission-critical product experiences. Collaborate with product, engineering, data, and internal stakeholders to translate integration needs into clear technical roadmaps and measurable outcomes. Improve the quality, observability, reliability, and maintainability of Aperture Cloud’s integration platform as usage grows across the business. What we’re looking for: Experience designing and building scalable backend systems, APIs, web services, and production software. Strong understanding of third-party API integration patterns, including authentication, rate limits, retries, error handling, data normalization, and monitoring. Experience with storage systems such as relational databases, analytical databases, queues, caches, or event-driven architectures. Ability to work through ambiguity, structure complex problems, and identify the highest-impact technical priorities. Strong ownership mindset and comfort driving projects from vague requirements through production launch and iteration. Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders. Experience working collaboratively in a cross-functional environment with product, design, data, infrastructure, and customer-facing teams. Experience with OSINT data sources a plus Experience with AI Production Systems a plus About the Team: The AI Engineering team builds the systems, workflows, and infrastructure behind Aperture Cloud’s AI-native products. This role sits on the team focused on third-party integrations and the scalable platform that enables Aperture Cloud to connect to external data sources quickly, reliably, and securely. The team operates on a weekly sprint schedule. Engineers are expected to lead projects as technical anchors and are given opportunities to grow ownership according to their level and goals. We work closely with product, design, data platform, infrastructure, and customer-facing teams to deliver capabilities that directly impact customers and internal users. The team’s culture is built on psychological safety, high ownership, trust, accountability, and a bias toward shipping useful systems quickly. The team’s timezone is a mix of EST and PST, with at least 6 hours of overlap with PST, generally from 8 am to 2 pm PST. On-call: We have an on-call rotation that is approximately one week long and occurs once every 4–6 weeks. On-call work includes responding to PagerDuty alerts that warrant immediate attention and triaging customer or internal support requests from designated Slack channels. Learn about Aperture Cloud Speed in this position: The team is often tasked with delivering critical integration work on tight timelines. In one example, a project initially estimated to take two months was delivered in two weeks by ruthlessly prioritizing, bringing in the right implementation support, and partnering with product to descope the first milestone while preserving immediate customer value. The project was able to deliver value quickly in sales conversations while the team continued to iterate on future milestones. Engineers at Aperture Cloud are empowered to drive decision-making across product, design, and technical implementation. Rather than waiting days for alignment, engineers are expected to analyze tradeoffs, propose solutions, and move discussions toward clear decisions. Aperture Cloud has a large group of internal power users who provide fast product feedback. When engineers identify a clear pain point from this group, they are empowered to ship targeted improvements directly to b