Senior Backend Engineer

• Architect and develop high-performance Golang services for FlexAI’s AI PaaS and infrastructure platform
• Build internal APIs powering model deployment, job scheduling, and compute lifecycle management
• Develop components interfacing with GPU/compute infrastructure and AI runtimes, * Collaborate with AI/ML and Runtime teams to integrate systems with training pipelines, inference infrastructure, experimentation workflows, and dataset/artifact management
• Enable orchestration across cloud and on-prem environments
• Build abstractions that simplify AI infrastructure consumption

Cloud-Native & Platform Engineering:

• Design cloud-native, Kubernetes-native services
• Work with DevOps/SRE on CI/CD, deployment automation, and scalability
• Contribute to architecture decisions for multi-region, multi-cloud infrastructure
• Improve monitoring, logging, and diagnostics

Technical Leadership:

• Lead architecture reviews and set engineering standards
• Mentor engineers and guide complex problem-solving
• Drive long-term roadmap for backend infrastructure and AI platform capabilities
• Partner with Product, Runtime, and Infra leadership to translate requirements into scalable systems

Artificial Intelligence (AI), Distributed Computing, Platform as a Service (PaaS), Software Engineering, Cloud Computing, Go Programming Language (Golang), Production Systems, Software as a Service (SaaS), Application Programming Interface (API), Systems Administration/Management, As a Senior Backend Engineer, you’ll drive backend architecture, scale platform services, and build high-performance infrastructure components that power AI workloads in production environments - influencing how the platform evolves from Beta to enterprise-grade deployment. Expect high ownership and technical autonomy in a research-driven, deep-tech environment - not SaaS CRUD apps., * Languages: Golang (Primary), Python (Secondary)

• Infrastructure: Kubernetes, Docker, Cloud (AWS/GCP/Azure)
• Architecture: Microservices, gRPC, Event-driven systems
• Data: SQL + NoSQL databases, caching, streaming systems
• Observability: Prometheus, Grafana, OpenTelemetry (or similar), * 5+ years of Backend or Infrastructure Engineering experience
• Expert-level proficiency in Golang (must-have, heavy hands-on)
• Strong experience building production-grade distributed systems
• Proven track record on infrastructure platforms, PaaS, or deep-tech systems, * Deep understanding of cloud-native architectures and containerized environments
• Strong experience with Kubernetes, Docker, and cluster orchestration
• Familiarity with compute scheduling, resource management, or platform runtimes is a strong plus

Databases & Data Systems:

• Experience with distributed databases (PostgreSQL, Cassandra, DynamoDB, etc.)
• Strong understanding of caching, queues, and streaming systems (Redis, Kafka, etc.)

AI / Platform Exposure (Highly Preferred):

• Experience on AI/ML platforms, model infrastructure, or data platforms
• Familiarity with ML pipelines, inference systems, or GPU-backed workloads
• Exposure to PyTorch, TensorFlow infrastructure, or model serving systems is a plus, * Infra-first backend engineers (not just API developers)
• Background in AI infra, cloud platforms, developer platforms, or deep-tech systems
• Strong systems thinkers who enjoy low-level performance, scalability, and architecture challenges
• Startup-minded builders comfortable in ambiguous, high-ownership environments

• Competitive salary and benefits package
• Work on cutting-edge AI infrastructure
• Build products used by developers and enterprises
• High ownership, fast execution, real impact
• Collaborative, high-caliber team