Fractal · 2 weeks ago
Senior Platform Engineer
United States
Full-time
Remote
Senior Level
$120K/yr - $145K/yrFractal Analytics is a strategic AI partner to Fortune 500 companies, aiming to power every human decision in the enterprise. They are seeking a Senior Platform Engineer to design, build, and operationalize scalable data platforms and services, focusing on Azure, Databricks, and AI integration.
AnalyticsArtificial Intelligence (AI)Big DataBusiness IntelligenceConsulting
No H1B
Hiring Manager
Ayan Bandyopadhyay
Responsibilities
Design and implement scalable, secure, and resilient data platforms on Azure
Operationalize Databricks clusters for analytics, ML workloads, and ETL pipelines
Build and maintain CI/CD pipelines for data and infrastructure automation
Automate infrastructure provisioning using IaC (Terraform, ARM templates, Bicep)
Implement monitoring, alerting, and observability frameworks for platform health
Drive SRE practices for RCA, MTTR reduction, and resilience engineering
Integrate Generative AI and Agentic AI into DevOps workflows for intelligent RCA, anomaly detection, and automated remediation
Develop and optimize ETL/ELT pipelines for structured and unstructured data
Ensure data quality, lineage, and governance across the estate
Collaborate with data engineering teams to embed reproducibility and transparency
Implement cost attribution, showback/chargeback, and anomaly detection models
Optimize cloud spend across Azure services and Databricks workloads
Embed cost governance into Agile delivery workflows
Build and deploy Python FastAPI services to expose data pipelines and platform capabilities
Ensure APIs are secure, scalable, and well‑documented
Partner with stakeholders to translate abstract asks into actionable engineering backlogs
Communicate technical concepts clearly to executive, technical, and non‑technical audiences
Demonstrate strong collaboration skills by working across cross‑functional teams
Document and share knowledge to foster engineering rigor and accountability
Qualification
Required
Strong proficiency in Azure cloud services (Data Lake, Synapse, Databricks, Functions, AKS)
Hands‑on experience with Databricks (PySpark, Delta Lake, MLflow)
Expertise in ETL/ELT pipeline design (ADF, Spark, Kafka, or similar)
Solid background in DevOps (CI/CD, GitHub Actions, Azure DevOps, Jenkins)
Knowledge of FinOps frameworks for cloud cost optimization
Experience in DataOps practices (data quality, lineage, orchestration)
Infrastructure automation (Terraform, Ansible, Kubernetes)
Proficiency in Python and experience building APIs with FastAPI
Exposure to Agentic AI and Generative AI frameworks (OpenAI, Hugging Face, LangChain) applied to DevOps and operational intelligence
Excellent communication skills and strong collaboration skills
Preferred
Experience in multi‑cloud environments (Azure)
Familiarity with ResOps for resilience and recovery frameworks
Exposure to enterprise modernization projects (legacy‑to‑cloud migration)
Knowledge of agentic AI/LLM systems for operational intelligence and automated decision‑making
Benefits
Health, dental, vision, life insurance, and disability plans
Company 401(k) Plan
11 paid holidays
12 weeks of Parental Leave
“free time” PTO policy
Company
Fractal
Fractal is an AI firm with the aspiration to power every human decision in theenterprise.
Founded in 2000
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$862.67MKey Investors
Srikanth VelamakanniTPG Capital AsiaApax Partners
2025-07-15Secondary Market· $172M
2025-07-12Undisclosed· $5.67M
2022-01-05Private Equity· $360M
Leadership Team
Pranay Agrawal
Co-founder and Chief Executive Officer
Srikanth Velamakanni
Co-Founder, Group Chief Executive & Executive Vice-Chairman
Recent News
2026-01-03
2025-12-21
2025-12-05
Company data provided by crunchbase