6 publicaciones de empleo destacadas de data software engineer en desde casa (¡Están contratando!)

Lead Data DevOps Engineer (Domino Data Lab)
EPAM Systems, Inc. —Desde casa
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Lead Data DevOps Engineer (Domino Data Lab)

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Descripción completa del empleo

We are looking for a Lead Data DevOps Engineer to architect and run reliable data and ML pipelines on the Domino Data Lab platform, ensuring secure and efficient compute and data infrastructure. You will guide best practices across pipeline engineering, Kubernetes operations, and delivery automation. Apply now to help raise platform reliability and speed.

Responsibilities

Lead the design of end-to-end data and ML pipelines on the Domino Data Lab platform
Architect secure and scalable patterns for data ingestion, transformation, validation, and orchestration
Build and maintain Domino projects, environments, datasets, jobs, connectors, and flows to support production workflows
Operate Kubernetes-based workloads for data and ML jobs, including deployment, debugging, and performance tuning
Create and optimize Docker images for reproducible data and ML execution
Implement CI/CD automation for testing, release, and deployment of pipelines and workflow artifacts
Define best practices and guardrails for reliability, security, cost awareness, and reproducibility
Troubleshoot pipeline failures and platform issues, drive root-cause analysis, and implement preventive fixes
Collaborate with stakeholders to translate requirements into technical designs and delivery plans
Mentor engineers on Domino usage, pipeline patterns, and operational excellence
Document architectures, runbooks, and operating procedures for ongoing support
Improve monitoring and operational visibility for data and ML workflows
Ensure solutions align with compliance-minded practices expected in regulated domains

Requirements

5+ years of experience in data software engineering and pipeline delivery
Expert-level Domino Data Lab expertise with Data Sources, Datasets, Environments, Projects, Jobs, and Flows
5+ years of experience with Python for data engineering and automation
Strong SQL skills for extraction, transformation, and optimization
Hands-on Kubernetes experience with workload deployment, debugging, and tuning (including managed offerings)
Strong containerization skills with Docker image build and troubleshooting
Proven CI/CD experience for data and ML pipelines using modern automation tools
Strong leadership skills to set standards, mentor peers, and drive technical decisions
Strong project ownership skills to plan, prioritize, and deliver end-to-end improvements
Strong stakeholder communication skills with a consultative, direct approach
Upper-Intermediate English proficiency (B2)
Experience working in Pharma & Biotech environments

Nice to have

Amazon Web Services experience for data and ML platform architecture
MLOps experience across training, deployment, monitoring, and retraining workflows
MLflow experience for experiment tracking and lifecycle coordination
Gen AI Application Development experience focused on RAG and data pipelines

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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data software engineer empleos en desde casa

Lead Data DevOps Engineer (Domino Data Lab)

Lead Data Software Engineer (Java+AWS)

Senior Sales Consultant (US market)

Senior Python Developer (AI)

Tech Lead

Sales Manager (Americas)

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