Overview

We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture.

Responsibilities

• Architect and drive the technical roadmap for the Gaia Emblem engine, including LLM integration, RAG pipelines, and prompt-engineering frameworks.
• Design and operate scalable, GPU-aware infrastructure on Kubernetes (vanilla K8s, OpenShift, EKS, GKE, or equivalent), including GPU scheduling, autoscaling, and costefficient resource utilization.
• Build resilient, high-throughput distributed systems and microservices exposed via gRPC and REST APIs.
• Own data engineering pipelines feeding ML workflows, including ingestion, transformation, and storage across SQL, NoSQL, and search systems (PostgreSQL, Redis, Elasticsearch).
• Define and enforce engineering best practices: CI/CD, test automation, observability, and infrastructure-as-code (Terraform, Helm).
• Lead design reviews, set coding and architectural standards, and mentor engineers across the organization.
• Partner with Product, Applied ML, and SRE teams to translate business requirements into scalable technical solutions.
• Drive root-cause debugging and performance optimization across distributed, GPUbacked services.
• Evaluate and introduce new tools, frameworks, and infrastructure patterns to keep Gaia Emblem at the forefront of applied ML engineering.

Qualifications

• 10+ years of professional software engineering experience, including 8+ years building distributed, production-grade backend systems.
• 3+ years of hands-on experience with LLM-based systems, RAG architectures, or applied ML infrastructure.
• Demonstrated experience operating services on Kubernetes (vanilla K8s, OpenShift, EKS, GKE, or similar) at production scale, including GPU-backed workloads.
• Track record of technical leadership: driving architecture decisions, leading crossteam initiatives, and mentoring engineers at Staff/Senior level.
• Languages: Python, Java, Go, JavaScript
• ML/AI: LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG)
• Infrastructure & Cloud: Kubernetes (platform-agnostic — vanilla K8s, OpenShift, EKS, GKE, or equivalent), GPU Scheduling, Docker, Helm Charts, Terraform, AWS, Cloud Computing
• Distributed Systems & APIs: Distributed Systems, Microservices, gRPC, REST APIs
• Data & Storage: Data Engineering, SQL, NoSQL, PostgreSQL, Redis, Elasticsearch, Databases
• Engineering Practices: CI/CD, DevOps, Test Automation, Git, Debugging, ObjectOriented Programming (OOP)
• Node.js, Back-End Web Development
• Jenkins and other CI/CD tooling
• Prior experience in enterprise data protection, storage, or infrastructure software
• Operate with Staff-level ownership: define the “what” and “how” for a major component of Gaia Emblem, not just execute tickets.
• Balance long-term architectural vision with pragmatic, incremental delivery.
• Act as a force multiplier — raise the technical bar of the team through design reviews, documentation, and mentorship.
• Communicate complex technical trade-offs clearly to both engineering and nonengineering stakeholders.
• Be hands-on: this role is expected to write and review production code regularly, not purely architect from a distance.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field required.
• Master’s degree or PhD in Computer Science, Machine Learning, or a related field preferred.