About the Role We are seeking a Principal Data Engineer to join our Managed Services Team and take ownership of supporting diverse client environments. This role focuses on maintaining, triaging, and improving a variety of customer systems — from custom-built applications to modern cloud solutions — across multiple industries and technology stacks. The ideal candidate is a seasoned engineer who thrives in dynamic, multi-technology environments and has a proven track record of troubleshooting, performance tuning, and driving operational excellence. This is a hands-on and client-facing position, ideal for someone who can rapidly assess unfamiliar systems, deliver fixes, and provide technical leadership in a consulting setting. Key Responsibilities
Client Environment Support – Serve as a primary point of contact for production support, triage, and incident resolution across diverse client systems.
Bugfixing & Maintenance – Perform root cause analysis, implement bug fixes, and ensure long-term stability of customer applications.
Cross-Technology Expertise – Work across a wide range of technologies such as .NET, Ruby on Rails, cloud-native applications, and automation tools.
Operational Leadership – Establish and refine monitoring, alerting, and incident response practices.
Collaboration – Partner with customer teams and internal engineers to identify improvements and streamline operations.
Maintenance Windows – Participate in planned weekend maintenance activities as part of a rotating schedule.
Knowledge Transfer & Documentation – Ensure systems are well-documented and that knowledge is shared within the team.
Adaptability – Continuously learn and integrate new tools, platforms, and technologies used across client environments.
Required Skills & Experience
7+ years of experience in infrastructure, DevOps, or managed services roles, with at least 3+ years supporting production environments at scale.
Strong troubleshooting and problem-solving skills across application, infrastructure, and networking layers.
Experience with Data Engineer tools on AWS: Extract-Transform-Load, Machine Learning, AWS Lambda
Experience with multiple cloud platforms (AWS, Azure, GCP, Oracle Cloud) and hybrid environments.
Proven ability to debug, support, and maintain applications built with various frameworks, including .NET and Ruby on Rails.
Familiarity with CI/CD pipelines, observability tools, and incident response workflows.
Strong scripting or automation experience (e.g., Python, Bash, PowerShell).
Excellent communication and client-facing skills for working in a consulting environment.
Preferred Qualifications
Prior experience in managed services or consulting environments with multiple concurrent clients.
Familiarity with a broad range of database technologies (Oracle DB, SQL Server, Postgres, MongoDB, etc.).
Experience improving legacy systems for better reliability, cost optimization, or scalability.
Why Join Us?
Diverse Technology Exposure – Support a wide range of tools, frameworks, and cloud platforms.
Impactful Role – Keep mission-critical client systems operational and evolving.
Global Team Culture – Work with experts across multiple time zones and technology domains.
Professional Growth – Gain experience across industries, tools, and modern automation practices.
Competitive Compensation – Principal-level rates based on skills and experience, with shift differential for overnight work.
If you excel at diagnosing complex systems, solving tough operational challenges, and thrive in a multi-technology, always-learning environment, we’d love to hear from you.
