Senior Java developer designing and deploying sanctions - screening applications for Genpact, an AI and advanced technology solutions company. Improving high - volume transaction processing through microservices, integrations, and Agile delivery.
About the role
- Senior software engineer building backend, DevOps, and MLOps infrastructure for Sureel AI's creator-rights and licensing platform. Developing reliable AI systems for music and broader media.
Responsibilities
- Design and build scalable backend services, APIs, data pipelines, and platform infrastructure across the Sureel stack
- Own systems end-to-end from architecture and implementation through deployment, observability, debugging, and iteration
- Build infrastructure for high-volume AI, media, attribution, search, retrieval, and enterprise workloads
- Move experimental models and algorithms into reliable production services with the AI team
- Build and improve MLOps capabilities across model deployment, inference, versioning, evaluation, monitoring, and reproducibility
- Own and improve DevOps and cloud infrastructure, including CI/CD, infrastructure-as-code, containers, orchestration, security, observability, and deployment reliability
- Build enterprise capabilities such as authentication, RBAC, multi-tenancy, auditability, bulk operations, integrations, and configurable workflows
- Make architecture decisions across databases, queues, caching, distributed systems, compute, storage, networking, reliability, and cost
- Work with Product, customers, and AI partners to turn complex requirements into scalable technical solutions
- Build internal tooling and automation for engineering and research teams
- Use coding agents, agentic frameworks, AI-assisted debugging and research, automated testing, and emerging development workflows
Requirements
- Senior software engineer with strong depth in backend and platform engineering
- Personally designed, built, deployed, and operated meaningful production systems
- Highly proficient in a modern backend language
- Comfortable working extensively with TypeScript/Node.js
- Understanding of databases, networking, concurrency, APIs, distributed systems, queues, caching, cloud infrastructure, and failure modes
- Strong cloud, DevOps, and production infrastructure experience
- Understanding of model serving, GPU workloads, inference, data pipelines, embeddings, evaluation, and MLOps
- Experience using AI as part of the engineering workflow
- Ability to reason from first principles and solve difficult technical problems
- Comfortable in a fast-moving startup environment with significant ownership and ambiguity
- Preferred additional experience with GCP, Kubernetes, Docker, Terraform, AWS DynamoDB or another NoSQL database, Meilisearch, vector search, distributed processing, GPU infrastructure, enterprise SaaS, developer APIs or SDKs, TypeScript/React, agentic development frameworks, or large-scale audio and media systems
Benefits
- Performance based annual bonus
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