Senior DevOps Engineer - Snowflake

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the technical delivery and operational reliability of cloud data and AI platforms, including Snowflake, Anthropic, AWS, and Azure solutions.

• Take ownership of comprehensive operational support and incident management across various client environments.

• Convert business and data requirements into robust, cost-efficient operational solutions.

• Oversee and support production ETL/ELT jobs and pipelines, swiftly addressing any failures.

• Respond to incidents via pager, conduct root-cause analysis, and implement preventive measures.

• Ensure engagements are completed on schedule, within scope, and deliver measurable client value.

• Collaborate with data engineering, analytics, solutions architecture, clients, and other relevant stakeholders.

• Provide technical guidance during incident bridges, troubleshooting sessions, and design or runbook reviews.

• Maintain documentation, knowledge articles, runbooks, governance, and change-management processes.

• Enhance operational maturity, standardize practices, and improve client satisfaction.

• Create operational playbooks, automation scripts, monitoring standards, and training materials.

• Mentor peers and junior DevOps engineers through knowledge sharing and coaching.

• Utilize AI tools daily for troubleshooting, automation, documentation, and knowledge capture, ensuring validation of outputs before production use.

• Advise senior client stakeholders on operational strategy, reliability, and performance optimization.

• Lead complex incident and problem-management initiatives, driving long-term remediation and platform enhancements.

• Define and refine standards for managed services, reusable assets, and delivery frameworks.

⛳️ Requirements

• 6+ years of experience in DevOps, cloud data platform operations, and/or production support for data and analytics workloads.

• Proficient in SQL, including writing, debugging, and optimizing queries.

• Experience in supporting Snowflake and/or Amazon Redshift for a large user base.

• Hands-on experience with Oracle or Microsoft SQL Server.

• Background in production support, monitoring scheduled ETL/ELT jobs and pipelines.

• Working knowledge of Unix/Linux and system administration concepts.

• Basic proficiency in writing and optimizing Python for scripting and automation.

• Experience with AWS and/or Azure cloud-native data services, including S3, ADLS, or Azure Data Factory.

• Familiarity with ITIL processes and SLA-driven support environments.

• Strong skills in troubleshooting, performance tuning, and incident/problem management.

• Excellent client-facing written and verbal communication abilities.

• Regular daily use of AI coding tools such as Cursor, GitHub Copilot, Claude, ChatGPT, or similar.

• Ability to articulate engineering tasks completed with AI assistance.

• Familiarity with CI/CD tools such as GitHub or Bitbucket.

• Exposure to infrastructure-as-code tools like Terraform.

• Experience delivering projects for external or internal clients in professional services or consulting.

• Strong written and verbal communication skills in English.

• Ability to work effectively with distributed and cross-functional teams.

• Proven capability in ownership, prioritization, and delivery with minimal supervision.

• Bachelor’s degree in Computer Science, Information Technology, or a related field is listed under 'Education - If desired' and is not a mandatory requirement.

🏝️ Benefits

• Remote-First Work Environment

• 401k plan with company match

• Dental and Vision insurance

• Home Office Equipment Stipend

• Annual stipend for Learning and Development

• Competitive compensation

• Excellent benefits

• 4 weeks PTO plan

• 10 Holidays

• Challenging projects

• Mentorship

• Structured development pathways

• Supportive, high-performing global team

• Transparency, autonomy, and continuous improvement