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.
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Backend Engineer • India
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