• Design and implement end-to-end ML pipelines for OSINT (Open-Source Intelligence) gathering. • Collaborate with security researchers, developers, and product managers to align ML solutions with business needs. • Research and evaluate new ML techniques and technologies to improve the accuracy and efficiency of OSINT gathering for organizations or brands. • Develop and maintain strong relationships with internal and external stakeholders, including customers and partners. • Mentor and lead a team of ML engineers, offering technical guidance and support. • Stay current with industry trends and best practices in ML and OSINT gathering.

• Influence product direction through deep understanding of user needs and system constraints • Partner with Product and Design to clarify product requirements and translate them into clear, actionable technical deliverables • Collaborate closely with engineering teams to design, build, and iterate on product features and bug fixes • Comfortable working proactively, managing time efficiently, and thriving in a vibrant remote work environment! ✨🦄 • Engage in technical communities of practice to share knowledge, align on standards, and drive consistent engineering practices • Integrate software products with existing defense systems, ensuring seamless interoperability and adherence to security protocols • Develop comprehensive documentation, including design specifications, user manuals, and maintenance guides • Contribute to Open Source Projects. Participating in Cloud Native Computing Foundation (CNCF), Apache Software Foundation (ASF), or Open Source Security Foundation (OpenSSF) is a huge plus! • Stay abreast of emerging technologies and industry trends to inform product enhancements and innovation • Provide technical mentorship and elevate engineering standards across the team

• Design and build backend services and APIs for marketing Email, SMS and WhatsApp creation, management and publishing. • Own and evolve shared infrastructure used across Messaging. • Lead complex, cross-team projects (typically 3–6 months) that span multiple services, data stores and product areas. • Take a data-driven approach to reliability and performance. • Contribute to and sometimes lead database and infrastructure initiatives, such as keyspace migrations in partnership with platform teams. • Debug and resolve production issues across the stack: work with tooling like Metrics, Logfetch, Error Reporting and Tracing and use incident learnings to improve architecture, alerting and runbooks. • Drive technical design for new features and refactors: write design docs, review peers’ designs and ensure solutions are scalable, maintainable and aligned with the broader Messaging architecture. • Mentor and level up other engineers on the team via code reviews, pairing and informal coaching, helping them deepen their skills in distributed systems, reliability and product thinking. • Collaborate closely with frontend, infra and product partners across Messaging and adjacent teams to deliver cohesive, end‑to‑end solutions. • Participate in on‑call rotations and incident response, contributing to a culture of shared ownership for reliability and sustainable on‑call practices.

• Build new services to meet critical product and business needs using Golang. • Design scalable systems to solve novel problems with modern cloud technology and industry best practices. • Articulate a long term vision for maintaining and scaling our backend systems and the teams running them. • Work with engineers, designers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every quarter. • Write high quality, well tested code to meet the needs of your customers. • Support operational activities associated with generation and management of digital material • Lead an India-based IAM pod, serving as the primary technical lead in India; driving end-to-end delivery and execution quality.