Lead the design and orchestration of complex data pipelines and ETL processes, architect scalable data solutions, implement data governance and security, optimize cloud costs, develop data visualization strategies, and oversee integration across systems.
Responsibilities
Lead the design and orchestration of complex data pipelines and ETL processes
Senior/Staff Data Platform Engineer responsible for owning and evolving the Databricks platform on AWS for ModMed’s regulated healthcare data workloads.
Responsibilities
Own Databricks account- and workspace-level capabilities
The base salary range for this role begins at $143,000 in our lowest cost US region and goes up to $186,330 in our highest cost US region. In addition to your base salary, your total compensation will include a bonus of up to 20% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years.
Responsibilities
Design and operate cloud-native database platforms on AWS
Build automated, self-service capabilities using Infrastructure as Code (Terraform), CI/CD, and Git-based workflows
Define and implement reusable platform patterns, standards, and guardrails across a multi-cloud environment
Embed SRE principles including observability, performance tuning, and incident response
Ensure secure-by-design practices across identity, access management, and data protection
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Senior FinOps Analyst to advise engineering teams on cloud costs and optimization, requiring APAC business hours coverage.
Compensation
USD-based pay with education, fitness, and team activity budgets.
Responsibilities
Serve as the primary point of contact for R&D teams seeking cloud cost guidance, triaging and answering inbound questions in real time via the team's Slack channel.
Conduct proactive, consultative engagement with key spending teams to review monthly cloud spending and surface actionable cost opportunities.
Proactively monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiency patterns; conduct investigations and produce root-cause analyses.
Participate in the monthly forecasting cycle, engaging directly with R&D teams to align central forecasts with team-level projections.
Contribute a FinOps practitioner perspective to showback reporting and top spending R&D team meetings.
Senior FinOps Analyst to advise engineering teams on cloud costs and optimization, covering APAC business hours with overlap to PST and CST.
Compensation
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Responsibilities
Serve as the primary point of contact for R&D teams seeking cloud cost guidance, triaging and answering inbound questions in real time via the team's Slack channel and other asynchronous channels.
Conduct proactive, consultative engagement with key spending teams, especially APAC-based colleagues, to review monthly cloud spending, surface actionable cost opportunities, and understand upcoming engineering roadmap delivery plans before they become budget surprises; capture meeting notes and summaries with recommendations on top recurring questions and emerging cost patterns.
Proactively monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiency patterns; conduct structured investigations into flagged variances, produce written root-cause analyses, and deliver actionable optimization recommendations to team owners, documenting the work on Jira tickets and flagging items for the monthly reporting.
Participate in the monthly forecasting cycle, engaging directly with assigned R&D teams to align central forecasts with team-level projections, surface discrepancies, and document team plans and intent for upcoming spend; produce monthly forecast engagement notes per assigned team cohort.
Senior FinOps Analyst to advise engineering teams on cloud costs and optimization, requiring a schedule that covers APAC business hours.
Compensation
USD-based pay with education, fitness, and team activity budgets.
Responsibilities
Serve as the primary point of contact for R&D teams seeking cloud cost guidance, triaging and answering inbound questions in real time via the team's Slack channel.
Conduct proactive, consultative engagement with key spending teams to review monthly cloud spending and surface actionable cost opportunities.
Proactively monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiency patterns; conduct structured investigations into flagged variances.
Participate in the monthly forecasting cycle, aligning central forecasts with team-level projections.
Contribute a FinOps practitioner perspective and team-sourced information to showback reporting and R&D team meetings.
Senior FinOps Analyst to advise engineering teams on cloud costs and optimization, requiring a schedule covering APAC business hours with overlap in PST and CST.
Compensation
USD-based pay with education, fitness, and team activity budgets.
Responsibilities
Serve as the primary point of contact for R&D teams seeking cloud cost guidance, triaging and answering inbound questions in real time via Slack and other asynchronous channels.
Conduct proactive, consultative engagement with key spending teams to review monthly cloud spending, surface actionable cost opportunities, and understand upcoming engineering roadmap delivery plans.
Proactively monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiency patterns; conduct structured investigations into flagged variances and produce written root-cause analyses.
Participate in the monthly forecasting cycle, aligning central forecasts with team-level projections.
Contribute a FinOps practitioner perspective and team-sourced information, including AI/LLM cost drivers, to showback reporting and top spending R&D team meetings.
Lead and develop Toptal’s Cloud Services team of solution architects, setting technical vision, standards, and driving hybrid cloud and DevOps solutions for clients.
Responsibilities
Lead and mentor a team of solution architects
Recruit, onboard, and retain top talent
Define reference architectures and best practices
Partner with Sales to assess client needs and shape proposals
Turn repeatable solutions into scalable offerings
Requirements
Bachelor’s degree in a related field
Nice to have: AWS, Azure, or GCP Architect certification
Contribute a FinOps practitioner perspective and team-sourced information, including AI/LLM cost drivers, to showback reporting and top spending R&D team meetings, maintaining an understanding of cost drivers.
Principal Database Platform EngineerBoston Consulting Group · Boston, US+1 more
Practice Director, Cloud Services - US-BasedToptal · Remote, US