Cloud & DevOps Engineer (AWS)

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role Details

📍 Job location: Portugal or Spain (Remote model)
🕒 Contract type: Employee / Contractor B2B
🗓 Target start date: Jan 2027
⏰ Working hours: Full-time
💵 Compensation:€45k to €65k gross per year / €300 - €380 day

📋 What You'll Architect

As a Cloud & DevOps Engineer, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.

This role is both technical and consultative, perfect for someone who can combine hands-on development, solution design, and leadership of client delivery. It focuses on AWS infrastructure, platform engineering, DevOps, security, automation, and cloud architecture. You'll play a key role in ensuring AI and data solutions are scalable, secure, compliant, and production-ready. We’re looking for professionals who think like architects and act like builders.

Key Responsibilities

• Design, deploy, and maintain AWS-native cloud architectures using serverless and cloud-native principles.

• Build and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.

• Develop and deploy serverless services using AWS Lambda.

• Containerise and deploy workloads using Amazon ECS and AWS Fargate.

• Design and maintain workflow orchestration using AWS Step Functions.

• Manage and integrate Amazon RDS and related cloud data services.

• Implement authentication and identity management using Amazon Cognito.

• Design and enforce AWS IAM policies, roles, permissions, and governance standards.

• Support Amazon Bedrock platform integration, including model access, guardrails, AgentCore runtime, and knowledge base connectivity.

• Ensure security, compliance, reliability, and operational excellence across cloud environments.

• Design multi-account AWS environments and cross-account access patterns.

• Contribute to CI/CD pipelines, environment automation, and platform observability.

• Support architecture reviews and provide technical guidance on cloud best practices.

• Collaborate with AI Engineers, Data Engineers, Architects, and client stakeholders to deliver enterprise-grade platforms.

• Contribute to AWS architecture standards and cloud governance initiatives.

👤 Who You Are

• You are curious, analytical, and motivated by solving meaningful business challenges.

• You enjoy turning complexity into clarity and action.

• You balance technical thinking with business understanding.

• You are comfortable working in collaborative and international environments.

• You take ownership of your work and follow through on commitments.

• You value continuous learning and are motivated by long-term professional growth.

• You communicate clearly and effectively with a variety of stakeholders.

🛠️ What You Bring

Qualifications & Experience

• Experience as a Cloud Engineer, DevOps Engineer, Platform Engineer, Infrastructure Engineer, or similar role.

• Strong hands-on AWS experience in production environments.

• Experience designing and operating serverless architectures.

• Experience implementing Infrastructure as Code using Terraform.

• Experience with containerised workloads and cloud deployment patterns.

• Experience supporting production-grade enterprise cloud platforms.

• Ability to work effectively within multidisciplinary teams.

• Professional proficiency in English.

Technical & Professional Skills

• Strong expertise across the AWS cloud ecosystem, including Lambda, ECS, Fargate, RDS, Cognito, IAM, and Step Functions.

• Experience designing and managing serverless, scalable, and highly available cloud architectures.

• Advanced knowledge of Infrastructure as Code (Terraform), cloud automation, and platform provisioning.

• Strong understanding of AWS security, identity management, governance, networking, and compliance best practices.

• Experience implementing CI/CD pipelines, deployment automation, monitoring, and operational best practices.

• Knowledge of Amazon Bedrock platform services, including model access management, guardrails, and platform integration patterns.

• Experience with Git, collaborative software delivery practices, and DevOps methodologies.

• Strong architectural thinking, troubleshooting capabilities, and ability to design secure production environments.

Nice to Have

• Professional proficiency in French.

• AWS Certifications such as Solutions Architect, Developer, or DevOps Engineer.

• Experience supporting regulated environments such as Pharma, Healthcare, or GxP-compliant platforms.

• Exposure to Snowflake, cloud data platforms, and analytics ecosystems.

• Experience with Docker, Kubernetes, and container orchestration technologies.

• Knowledge of multi-account AWS architectures, landing zones, and enterprise governance frameworks.

• Experience participating in Architecture Review Boards and technical governance processes.

• Experience working in consulting or client-facing environments.

⭐ What Makes You Successful

• You focus on outcomes rather than activity.

• You approach challenges with curiosity and pragmatism.

• You communicate complex concepts in a clear and accessible way.

• You are comfortable navigating ambiguity and finding practical solutions.

• You contribute to collective intelligence by sharing knowledge and supporting others.

• You combine autonomy with collaboration.

• You continuously look for opportunities to improve systems, processes, and results.

🎁 What We Offer at Keyrus Portugal

• Competitive salary aligned with your experience and the data market

• Meal allowance: €10.20/day

• Flexible benefits plan

• Private medical insurance

• 22 days of annual leave, increasing every 3 years (up to 25 days)

• Continuous learning via KLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🔒 Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.