Senior Platform/Software Engineer (Foundational Engineering)

Esgaia; Spain; On-site; EUR 70,000 - 110,000; Full time

Job summary

Glass Lewis & Clarity AI is hiring a Senior Platform Engineer for the Foundational Engineering team in Spain. You will build an internal platform for engineering, data, and AI teams, aiming for self-service, security, and reliability. You will move applications to a unified cloud and treat the platform as a product.

The role emphasizes ownership, Lean/XP practices, and collaboration across teams. Fluency in English is required; Spanish is a plus.

Qualifications

• 5+ years in software or platform engineering building internal tools.
• Strong Terraform on AWS or Azure, infra as code, version-controlled.
• Kubernetes in production (EKS or equivalent) with ArgoCD/Flux and Helm.
• Security-minded on cloud and Kubernetes, with reliable, auditable setups.
• Go or Python software for tools, operators, CLIs, services.
• Product mindset: prioritizing user adoption and reliability.
• Ownership: lead large pieces of work and align across teams.
• Experience with Lean and XP: trunk-based development and TDD.
• Familiar with AI agents in daily work; fluent English; Spanish a plus.
• Based in Spain; works in the same time zone.

Responsibilities

• Build the internal platform used by engineering, data, and AI teams.
• Move Glass Lewis applications to a unified platform and single cloud.
• Treat the platform as a product with a focus on adoption and reliability.
• Ensure security, access control, and auditability by default.
• Collaborate with cross-functional teams to define and ship improvements.

Skills

Platform engineering

Terraform

Kubernetes (EKS)

Cloud security

Go

Python

Product mindset

Ownership

Lean & XP

AI tooling

English fluency

Tools

Terraform

Kubernetes

ArgoCD/Flux

Helm

Job description

About Glass Lewis & Clarity AI

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.

Why we are hiring now

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.

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.

• 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.

Nice to have

• 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.

• Build our internal developer platform, the Engineering Runtime. A team describes its application in one file. The Runtime deploys it on Kubernetes with GitOps, together with its databases, queues, secrets, and monitoring. Most of this work is code in Go.
• Manage our AWS infrastructure as code: accounts, networks, EKS clusters, Karpenter, databases and IAM. We do not set up anything by hand.
• Make the platform reliable and secure by default. We test disaster recovery. Upgrades are normal work, not projects. Access control and audit come with the platform, so teams do not build them again.
• Work with Glass Lewis engineering teams. Many of their applications run on Azure. You will learn how they work and move them to our platform in small, safe steps.
• Talk to the teams that use the platform. Find out what they need. Decide with the team what to build next, and check if it helped.
• Find waste in the cloud bill and remove it.