What Findly does
Findly.ai is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, Findly.ai enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.
2 open roles
What the role involves
No software farms and no part-time jobs at the moment. We build our software in-house. We’re looking for a Senior DevOps Engineer with strong product instincts. As an early-stage startup, our projects are broad—so comfort moving across the stack and owning outcomes end-to-end is key. You’ll design and run the infrastructure that powers Findly, from CI/CD to Kubernetes, with a big focus on reliability, security, and developer velocity. System design experience is a plus. Minimum qualifications: Deep experience with a major cloud (AWS/GCP/Azure) Strong with IaC (Terraform/Pulumi) and CI/CD (e.g., GitHub Actions) Containers & orchestration (Docker, Kubernetes) Observability (logs/metrics/traces) and incident response Proficiency in Python for automation Solid networking/security fundamentals Fluency in English Nice to have MLOps exposure (model serving, feature stores, data pipelines) Cost optimization at scale; platform/SRE background Projects include Designing and operating secure, scalable cloud infrastructure Building fast, reliable release pipelines Managing Kubernetes clusters and service meshes Implementing observability and on-call practices Automating environments, secrets, and compliance guardrails Partnering with ML/backend teams to productionize model services At Findly, engineers own what they build—from prototype to production.
What the role involves
No software farms and no part-time jobs at the moment. We build our software in-house. Looking for a Machine Learning Engineer with interest in product. As we are an early-stage startup, the range of projects is quite broad, so fluency and willingness to go across the stack to solve problems are a big plus. Experience with system design is also a plus. Minimum qualifications: Fluency in Python Experience with System Design Fluency in English Experience building production machine learning systems Experience with Machine Learning Research Experience creating backend systems in Python Projects include: Developing and Serving Machine Learning models Optimizing ML models i.e. fine-tuning, prompt engineering Data preparation and cleaning Maintaining our Python backend At Findly, we created a culture where developers have complete ownership of the projects and tools they build, from prototyping to deploying it on prod.
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Questions and experiences
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.