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 alignmentacross 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 locationCompetitive compensation, medical coverage (self & family), and surprise performance perks.Fun team culture with regular hackathons, offsites, and creative engineering challenges.