Platform/Software Engineer (Foundational Engineering)

Clarity AI
Spain
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, Spanish
Job source

Tech stack

Amazon Web Services Audit Trail Microsoft Azure Software as a Service Computer Programming Continuous Delivery Cursor Software Debugging Identity and Access Management Python (Programming Language) Key Management Prometheus
+11 more
AI Infrastructure Trunk-based Development Datadog Large Language Models Claude Code Grafana Agentic-AI Kubernetes Extreme Programming Terraform Software Version Control

Job description

  • Azure, and moving workloads from Azure to AWS.
  • Crossplane, Argo Workflows, or Kubernetes operators.
  • Security and compliance: SOC 2, ISO 27001, least-privilege IAM, secrets management, audit trails.
  • Observability (Datadog, Grafana, Loki, Prometheus) and cloud cost control.
  • AI infrastructure, for example, LLM gateways and usage budgets.
  • Work in a scale-up or SaaS company, or in a merger.

Requirements

  • 5+ years in software or platform engineering. You have built a platform or internal tools that other engineers use.
  • Strong Terraform on AWS or Azure. You treat infrastructure as software: in version control, tested, reviewed, and delivered continuously.
  • Kubernetes in production: EKS or similar, ArgoCD or Flux, Helm and autoscaling. You know how to debug it when it fails.
  • Security on cloud and Kubernetes.
  • You write good software in Go or Python. You have built tools, operators, CLIs or services, not only scripts.
  • A product mindset. You care about the engineers who use your work. Adoption matters more to you than the technology.
  • Ownership. You can take a large piece of work and finish it on your own. You lead technical designs and get agreement across teams.
  • Experience with Lean and XP: trunk-based development, TDD, pair and ensemble programming, small safe steps, continuous delivery.
  • You use AI agents (Claude Code, Cursor, MCPs, and similar) in your daily work, not just for autocomplete.
  • Fluent English. Spanish is a plus.
  • You live in Spain. We pair in real time, so we work in the same time zone.

Benefits & conditions

In the next months, we will move many Glass Lewis applications onto our infrastructure. We will also move to one cloud. Enterprise clients and audits such as SOC 2 and ISO 27001 need strong security, access control, and reliability. We want to build these once, in the platform. You will help decide how.

About the company

Founded in 2003, Glass Lewis is a leading global provider of independent, intelligence-focused corporate governance, stewardship, and proxy voting solutions. The firm serves more than 1,300 investment managers and pension funds globally, who use its high-quality corporate governance research and proxy voting software to carry out their fiduciary duties. Glass Lewis also helps companies understand corporate governance best practices and how investors view them. Headquartered in San Francisco, Glass Lewis has offices in North America, the United Kingdom, Europe, Asia, and Australia. In September 2026, Glass Lewis and Clarity AI joined forces to integrate sustainability, governance and stewardship. Glass Lewis looks for people who take ownership, act with integrity, remain curious, and make thoughtful decisions that build trust with clients and colleagues. To learn more, visit https://www.glasslewis.com/.

We are looking for a Senior Platform Engineer for the Foundational Engineering team. This is not a pure infrastructure role. Most of the work is to build internal products for other teams. For example, a team must be able to put an application into production in minutes, without our help. Our team builds the platform that all of Tech uses: engineering, data, and AI teams. They use it to build, run, and change their systems. Our goal is self-service with very little friction. Teams must be able to try things and ship fast, and stay secure and reliable at the same time. We treat the platform as a product. The other teams are our customers., Clarity AI and Glass Lewis are now one company. All new systems of the combined company will run on our platform. About 100 people use the platform today. Soon it will be close to 250.

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