Staff ML Engineer

Cohesity is the leader in AI-powered data security. Over 13600 enterprise customers including over 85 of the Fortune 100 and nearly 70% of the Global 500 rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas enterprise data protection business the companys solutions secure and protect data on-premises in the cloud and at the edge. Backed by NVIDIA IBM HPE Cisco AWS Google Cloud and others Cohesity is headquartered in Santa Clara CA with offices around the globe.

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

Want to join the leader in AI-powered data security

Level: Staff Software Engineer (Level 5)

Team: Gaia Emblem Engine

Location: India Type: Full-Time

Cohesity is looking for a Staff ML Engineer (Level 5) to help design and scale the Gaia Emblem engine the intelligence layer powering our next-generation data this role you will architect and build large-scale production-grade ML/LLM systems spanning model serving retrieval-augmented generation (RAG) GPU infrastructure and distributed backend services. As a Staff-level engineer you will set technical direction mentor senior engineers and partner closely with Product and Data Engineering to bring Gaia Emblems roadmap to life.

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.

Experience

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.

Education

Bachelors degree in Computer Science Engineering or a related technical field required.

Masters degree or PhD in Computer Science Machine Learning or a related field preferred.

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)

Preferred / Nice-to-Have Skills

Back-End Web Development

Jenkins and other CI/CD tooling

Experience with formal verification or correctness-focused engineering practices 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.

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Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying you may contact us atCOHESITY or for assistance.

In-Office Expectations

Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the legal right to work in the job location.