Note: The job is a remote job and is open to candidates in USA. phData is a remote-first data and AI consultancy company that partners with industry leaders to solve complex challenges. They are seeking a Senior DevOps Engineer to lead the technical delivery and platform reliability of cloud-native data environments on AWS and Azure, focusing on infrastructure automation and client-facing delivery.
Responsibilities
- Own and drive end-to-end operational delivery for cloud-native data platform environments (AWS, Azure) across multiple managed services clients — including environment configuration, infrastructure automation, and platform reliability
- Translate business and technical requirements into resilient, cost-effective platform solutions aligned with phData methodologies, architecture standards, and best practices
- Build, deploy, and maintain infrastructure-as-code configurations and CI/CD pipelines that support repeatable, governed platform delivery
- Monitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of failures and minimizing business impact as you develop depth in data platform patterns
- Ensure engagements are delivered on time, within scope, and with measurable business value for clients
- Collaborate with Solutions Architects, data engineering teams, analytics teams, and client stakeholders to deliver successful, well-integrated client engagements
- Provide technical leadership during troubleshooting sessions, infrastructure reviews, and platform deployments, particularly across cloud services on AWS and Azure
- Ensure high quality in deliverables through clear documentation, deployment guides, runbooks, and adherence to governance and change management processes
- Partner with practice and account leaders to improve operational maturity, standardize delivery patterns, and enhance client satisfaction across a large user base
- Contribute to internal initiatives such as building and enhancing IaC templates, automation scripts, CI/CD frameworks, and operational playbooks for Elastic Platform Operations
- Mentor peers by sharing best practices in cloud engineering, leading knowledge-sharing sessions, and helping up-skill team members on new tools and technologies
- Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders
- Act as a trusted advisor to senior client stakeholders on cloud platform reliability, infrastructure strategy, and performance optimization
- Lead complex infrastructure and platform delivery efforts, coordinating across multiple teams and driving long-term improvements
- Mentor and coach junior engineers, fostering a culture of learning, feedback, and continuous improvement
- Help define and refine Elastic Operations standards, reusable IaC assets, and delivery frameworks for managed services
Skills
- 6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure — ideally including client-facing or consulting delivery experience
- Strong cloud platform experience across AWS and/or Azure, including core infrastructure services (e.g., S3, ADLS, IAM, networking, compute, secrets management)
- Proven hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) — including authoring, extending, and maintaining IaC in team environments
- Solid experience designing and operating CI/CD pipelines and tooling (e.g., GitHub Actions, Bitbucket Pipelines, Azure DevOps) for platform and application deployments
- Proficiency in Python for scripting, automation, and operational tooling in cloud-native environments
- Working knowledge of SQL — ability to read, write, and debug queries to support platform troubleshooting and data flow validation
- Working knowledge of Unix/Linux environments and common system administration and scripting concepts
- Strong troubleshooting, performance tuning, and root-cause analysis skills across cloud infrastructure and platform services
- Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output
- Ability to describe specific engineering tasks completed with AI assistance
- Experience delivering projects for external or internal clients in a professional services, consulting, or managed services environment
- Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion
- Strong written and verbal communication skills in English, with the ability to clearly explain technical issues and solutions to non-technical stakeholders
- Demonstrated ability to work effectively with distributed and cross-functional teams across engineering, sales, and support
- Proven track record of taking full ownership, managing multiple concurrent priorities, and delivering high-quality work with minimal supervision
- Openness to learning new technology stacks — including data platform technologies — and helping up-skill other team members
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field — or equivalent practical experience
- Experience providing operational or engineering support for a cloud-native data warehouse such as Snowflake, Amazon Redshift, or Azure Synapse — including configuration, administration, or performance tuning
- Snowflake SnowPro Core certification or equivalent cloud/data platform certifications (AWS Solutions Architect, Azure Administrator, etc.)
- Experience with data integration and streaming technologies such as Spark, Kafka, Fivetran, Matillion, HVR, NiFi, AWS Database Migration Service, or Azure Data Factory
- Experience monitoring and supporting ETL/ELT data pipelines and scheduled data jobs in a production environment
- Familiarity with workflow orchestration tools such as Apache Airflow or AWS Managed Airflow
- Experience with RDBMS platforms such as Oracle or Microsoft SQL Server in an operational or engineering context
- Experience with database deployment and schema migration frameworks such as Flyway or Liquibase
- Familiarity with ITIL processes and working in SLA-driven support environments
- Prior experience working in a managed services or Elastic Operations environment supporting multiple clients
Benefits
- Remote-First Work Environment
- Casual, award-winning small-business work environment
- Collaborative culture that prizes autonomy, creativity, and transparency
- Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
- Accelerated learning and professional development through advanced training and certifications
Company Overview
phData Premier provider of Big Data managed services and architecture, engineering, and data science consulting. It was founded in 2014, and is headquartered in Minneapolis, Minnesota, USA, with a workforce of 501-1000 employees. Its website is https://www.phdata.io/.Company H1B Sponsorship
phData has a track record of offering H1B sponsorships, with 2 in 2026, 10 in 2025, 13 in 2024, 4 in 2023, 16 in 2022, 15 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.