Platform Engineer, Data Operations

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., * 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., * 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We adopt tools and techniques that make us faster, smarter, and better-especially around AI and automation-and drop outdated methods without hesitation.

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

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance, * 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.

Compensation Range: $165K - $185K

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.