# Cloud Automation Engineer at IVY Partners

> Hybrid · Portugal · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Aivypartners%3A2780631 (read 2026-11-12).

## Facts (observed)

- Company: [IVY Partners](https://alderhq.app/companies/ivy-partners)
- Location text: Lisboa, Lisboa, Portugal
- Where it can be done from (inferred): Hybrid · Portugal (evidence: "Location: Lisboa, Lisboa, Portugal")
- Posted: 2026-10-12 (31 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ivy.partners/o/cloud-automation-engineer
- Skills listed (inferred): TypeScript, JavaScript, React, Vue, Angular, PostgreSQL, Azure, Kubernetes, Docker, Terraform

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Lisbon, n 10): p25 €37k, median €51k, p75 €62k

## Description (the employer's text)

### Our Mission

Ivy Partners is a Swiss consulting firm that assists businesses in tackling their strategic, technological, and organizational challenges.

We are committed to providing our employees with a career that promotes both personal and professional development. We support their skill enhancement and offer genuine career progression opportunities.

### As an Cloud Automation Engineer at Ivy Partners, you will

- Develop and continuously improve secure, reusable cloud automation products that simplify the provisioning, configuration, and operation of cloud resources for application teams.

- Work across full-stack development, including backend services and REST APIs, and frontend applications using JavaScript or TypeScript with frameworks such as React, Angular, or Vue.

- Create Infrastructure as Code modules, templates, and workflows for the lifecycle management of Azure resources and shared cloud services.

- Design automated CI/CD workflows to build, validate, package, and deploy infrastructure and application changes across environments.

- Integrate security and governance practices into delivery patterns, ensuring compliance with identity management, policy enforcement, and audit standards.

- Provide operational support for data processing and analytics services automations, evolving them to improve reliability, performance, and security.

- Ensure operational readiness through monitoring, logging, alerting, documentation, and support or handover materials.

About You

You are our ideal candidate if you:

- Have at least 5 years of experience in cloud automation or software engineering roles, ideally within international company environments.

- Have working proficiency in Microsoft Azure and cloud architecture, along with solid experience in Terraform and Infrastructure as Code.

- Have advanced experience in full-stack development, from backend services to frontend applications using modern JavaScript frameworks.

- Have strong skills in cloud security, identity and governance, API integration, and automated testing.

- Have experience with Azure data and analytics services such as Databricks, Azure Data Factory, Cosmos DB, and PostgreSQL.

- Are experienced in scripting, operational automation, observability, and containers and Kubernetes (AKS).

- Are fluent in English. French is considered a plus.

### Why Join Ivy Partners

Care \| We care about our employees by creating a supportive environment where everyone is valued and empowered with training and growth prospects.

Trust \| We believe in building strong and long-lasting relationships with our clients. Working with us is about establishing a partnership based on trust, professionalism, and transparency at all times.

Innovation \| We empower effective digital transformation through a unique blend of innovative technology and creative thinking.

Responsibility \| Community is at the heart of everything we do, and we take that responsibility seriously by working hard to create a positive impact.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Aivypartners%3A2780631 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.