Job Title

What You’ll Do-Architect and scale backend services that support large-scale data ingestion, transformation, workflow orchestration, and secure delivery pipelines. -Lead system design and technical road mapping across projects, ensuring platforms are resilient, extensible, and aligned with long-term goals. -Mentor senior and mid-level engineers, leading by example in code quality, documentation, and system thinking. -Own backend performance and reliability, introducing metrics-driven approaches to scale systems efficiently and reduce operational overhead. -Collaborate across disciplines, AI researchers, frontend, data, DevOps, and product teams to design APIs and services with clear boundaries and SLAs. -Champion platform evolution**, identifying and driving initiatives around observability, developer tooling, scalability, and security. -Influence technical direction across engineering by leading design reviews, promoting best practices, and contributing to internal engineering standards.Minimum Qualifications- 7+ years of professional experience in backend software engineering, with at least 1+ years operating at a staff level or equivalent. - Proven experience designing and scaling backend systems in production with a strong grasp of distributed systems, microservices, and service-oriented architecture. - Advanced proficiency in one or more backend languages such as Go, Java, and Python. - Good understanding of cloud-native architectures (AWS, GCP, or Azure), containerization (Docker), and orchestration (Kubernetes). - Deep knowledge of data modeling, API design (REST/GraphQL/RPC), caching, SDKs, developer tooling, and asynchronous systems (queues, event buses). - Strong understanding of servers, database metrics, and observability. - Experience implementing secure, observable, and testable systems. - Familiarity with CI/CD pipelines, and deployment tooling (GitHub workflows, CircleCI, etc.). - Excellent communication and collaboration skills; able to drive alignment across teams.Preferred Qualifications- Experience working on data-intensive SaaS platforms, scalable backend services, or high-throughput data processing systems. - Familiarity with event-driven and domain-driven design. - Deep understanding of data structures, algorithms, system design, and architectural patterns. - Background in leading technical initiatives across multiple teams and contributing to org-level architecture. - Strong bias for action and ownership; comfortable making architectural decisions with long-term impact. - Experience in mentoring up to SDE 3 engineers and participating in technical hiring loops.What You’ll Love / Benefits- Opportunity to build backend systems that are foundational to the future of AI/ Gen AI. - High agency environment where your technical leadership directly shapes product outcomes. - Hybrid flexibility with a culture of deep ownership and collaboration. - Work accessories and a great work location - Competitive compensation, medical coverage (self & family), and surprise performance perks. - Fun team culture with regular hackathons, offsites, and creative engineering challenges.