Platform Software Engineer Rogo
No-code data analytics platform.
Permanent
New York
Remote: Not specified
250K to 315K $ a year
> 5 years
You'll be part of
47 employees
Software
Big Data
Our take
Managing and using financial data can be a complex and frustrating process. Rogo solves this problem by leveraging the power of natural language processing (NLP). Rogo's platform allows users to manage, combine, analyze and export data from multiple sources without the need for coding. This allows businesses to unlock immense value from their data without the need for coding expertise and highly trained developer teams. Simply put, users can perform tasks using plain English. As such, Rogo's comprehensive no-code solution is accessible and scalable. No-code data analysis is a growing industry, and Rogo's main challenge will be competing with the likes of Domo and Obviously. However, Rogo's chief asset is its experienced founding team, who have developed innovative tools for banks and businesses, including Barclays and J.P. Morgan. This has lent the company considerable weight and insight, and its 2024 Series A funding round came off the back of a doubling of annual recurring revenue. Investment is being used to fuel expansion, platform development and customer partnerships.
You'll be working on
- We’re looking for a Platform Engineer to define and lead the technical direction of our platform as we scale 10x+ in enterprise customers
- This is a hands-on, high-impact role responsible for architecture, reliability, and developer experience across our Kubernetes-based infrastructure. You will solve hard technical problems, raise the engineering bar through your work, and be a key technical partner to product engineers across the company
- Design and implement scalable solutions within our Kubernetes-based platform for secure enterprise workloads
- Define and contribute to reliability initiatives: SLOs, capacity planning, and resilience improvements
- Identify and resolve system misconfigurations and architectural risks
- Build systems that support 10x customer growth with clear failure modes and mitigation strategies
- Own and continuously improve internal platform systems: deployments, environments, and developer tooling
- Drive improvements to reliability, observability, and operational workflows
- Act as a force multiplier for product engineers by building guardrails (not gates) and self-serve tooling
- Bring structure and rigor to complex infrastructure problems
- Contribute to internal engineering standards and design principles
- Work cross-functionally with engineering, product, and leadership to unblock and accelerate delivery
We're looking for
Autonomy
Cross-functional team leadership
Problem-solving skills
Kubernetes
- Enjoys being a technical owner with broad company impact
- (not just operating clusters, but growing them significantly from early-stage to production-critical workloads)
- Deep understanding of distributed systems tradeoffs
- Strong systems mindset
- Or startup that successfully scaled infrastructure
- Big tech → then startup
- Previously worked in:
- Extensive, production-grade Kubernetes scaling experience
- Comfortable operating in ambiguity
- You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you’re ecstatic to work at a startup
- You are ambitious. You have fun solving problems that others think are impossible
- You are collaborative, organized, thoughtful, and kind
- You are curious. You find joy in learning about AI, technology, and finance
- You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
- Familiarity with banking-level security and data governance
- Experience with single-tenant architectures
- Background in financial services or regulated environments