Platform Engineer, Data Operations

Posted Yesterday
Hiring Remotely in USA
Remote
165K-185K Annually
Mid level
Fintech
The Role
Design, build, and operate scalable backend services and data pipelines on AWS. Improve system performance, reliability, and observability; automate manual processes; write well-tested maintainable code; collaborate within cross-functional squads.
Summary Generated by Built In
About Allocate

Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. Our platform combines curated fund and co-investment opportunities with institutional-grade infrastructure. Through a single, data-rich digital experience, clients access top-tier opportunities across venture capital, private equity, private credit, and other private asset classes—backed by powerful tracking, analytics, and administration tools.

About the Role

Allocate is looking to add a Platform Engineer to the team! There's a lot for us to build, and we need a versatile engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future.

Essential Responsibilities and Duties
  • Design, build, and operate reliable, scalable backend services and data pipelines.

  • Work across our cloud infrastructure (AWS) to ship and run production systems.

  • Improve the performance, reliability, and observability of the systems you own.

  • Automate manual processes and reduce operational overhead.

  • Write high-quality, well-tested, maintainable code as part of a cross-functional squad.

Must Have Experience
  • 4+ years of backend or data engineering experience, with strong Python (or a similar language).

  • Hands-on experience building and operating production systems on AWS.

  • Experience designing reliable, scalable data pipelines or backend services.

  • Solid SQL and data fundamentals.

  • Proficiency with Git and version control systems in general.

  • Hands-on experience with AI-assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to continuously evaluate and incorporate new tools as they emerge.

Nice to Haves
  • Docker and containerized deployments (e.g., AWS ECS/EKS).

  • Snowflake or other modern data warehouses.

  • Workflow or process automation experience.

  • Background in fintech or financial data.

Education
  • Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.

Essential Values & Culture
  • Providing our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners—extraordinary response times, proactivity, and a top-tier experience in everything from product strategy to offline communications.

  • Challenge convention: Instead of detailing all the reasons an idea may not work, we question things to determine how a viable idea may be put into motion.

  • Commitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve.

  • Meritocracy, not politics: We place the utmost value on results and reward through merit, not political agendas.

  • Civil Discourse is embraced: Open, intellectually curious conversations are required to consistently arrive at the best decisions. Respect is paramount, but the mission is to get the right answer collectively, not to be right.

  • Embrace technological change: We adopt tools and techniques that make us faster, smarter, and better—especially around AI and automation—and drop outdated methods without hesitation.

Additional Details
  • Location: Fully Remote (all I-9 eligible candidates will be considered).

  • Employment: Full-time. Seniority: Mid-level professional.

  • Salary: The expected base salary range for this role is $165,000 to $185,000. Actual compensation will be determined based on the candidate's primary work location and other job-related factors including skills, experience, qualifications, interview performance, internal equity, and market data. Candidates located in higher cost-of-living markets, including the San Francisco Bay Area, may be considered within the higher end of the range. This range reflects base salary only and does not include bonus, equity, or benefits; total compensation may also include a discretionary performance-based bonus.

  • Benefits: Medical, dental, and vision; 401(k); and responsible vacation time (PTO).

  • Travel required for team and department offsites. An in-person interview may be required during the process. A broadband internet connection is required. Compliance with Allocate's Code of Ethics is a given for this role.

Skills Required

  • 4+ years of backend or data engineering experience
  • Strong Python (or similar language)
  • Hands-on experience building and operating production systems on AWS
  • Experience designing reliable, scalable data pipelines or backend services
  • Solid SQL and data fundamentals
  • Proficiency with Git and version control systems
  • Hands-on experience with AI-assisted development tools (Claude Code, OpenAI Codex, Cursor, etc.)
  • Write high-quality, well-tested, maintainable code
  • Bachelor's degree in Computer Science or equivalent practical experience
  • Docker and containerized deployments (e.g., AWS ECS/EKS)
  • Snowflake or other modern data warehouses
  • Workflow or process automation experience
  • Background in fintech or financial data
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The Company
HQ: Palo Alto, CA

What We Do

Alternative investments have become a growing staple in investor portfolios as investors continue to seek better portfolio diversification and higher returns. However investing in and alongside the most promising venture funds is primarily limited to institutional investors and industry insiders. We are here to change that.

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