Job description
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 location
- Competitive compensation, medical coverage (self & family), and surprise performance perks.
- Fun team culture with regular hackathons, offsites, and creative engineering challenges.
Required Skill Profession
Computer Occupations