DevOps Engineer

About the role

Build. Scale. Sustain. We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. We are small enough to care locally, big enough to deliver globally : 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC We are robust and resilient : 100% independent and 0 debt We are entrepreneurs and passionate experts : We invest in what we believe genuinely and work as a collective intelligence We are positive, courageous, caring, doers and committed to excellence About Gen-e2 TM While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: We now generate 95% of the entire product - code, documentation, infrastructure as code, and even design powered by GitHub Copilot. The quality consistently exceeds the output of our best traditional engineering teams. A product repository houses all product artefacts, giving AI full project context for higher-quality generation. A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. With Gen-e2 TM , we deliver end-to-end products 2-3× faster than traditional approaches, while raising the bar for engineering excellence. YOUR ROLE: As a DevOps Engineer , you will be responsible for designing, building, and maintaining scalable and reliable cloud infrastructure using AWS/Azure/Openstack/Kubernetes. You will apply DevOps practices and solutions, conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions. Additionally, you will coach delivery teams on DevOps best practices and approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients. Working closely with project teams and business stakeholders, you'll provide technical expertise that enables innovation through both traditional development practices and AI-augmented workflows. Your outstanding interpersonal skills will help you build or be part of a high-performing engineering team that consistently exceeds expectations by effectively combining human expertise with AI capabilities.

Responsibilities

• Provide customers with reliable and scalable cloud solutions using AWS, Azure, and Kubernetes.
• Design, build, configure, maintain, and support cloud infrastructure.
• Implement and support various CI/CD, security, and testing tools.
• Develop multi-stage CI/CD pipelines to enable faster and frequent releases to production; assist delivery teams in automating their build and deployment processes.
• Document and share knowledge on developed DevSecOps solutions.
• Conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions.
• Collaborate with clients and other PALO IT teams to understand client requirements, design comprehensive end-to-end approaches, and implement DevOps solutions that meet client needs.
• Approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients.
• Utilize AI development tools such as GitHub Copilot and Cursor to enhance development processes and improve efficiency.
• YOUR PROFILE
• As our company transitions into an AI-focused firm, all developers are expected to demonstrate proficiency in AI-augmented development practices. We are looking for a creative, self-motivated individual with the following qualifications and qualities:
• Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor) for code generation and problem-solving.
• Understanding of prompt engineering principles for optimal AI tool interaction.
• Ability to effectively collaborate with AI tools while maintaining code quality and adherence to best practices.
• Critical thinking to validate and verify AI-generated code and solutions.
• Adaptability and willingness to continuously learn and stay updated with the rapidly evolving AI landscape.
• Deep understanding of cloud computing technologies, deployment, costing, HA/DR, etc.
• Ability to coach delivery teams on DevOps principles (e.g., CI/CD, test automation, release automation) and engineering practices (e.g., TDD, BDD).
• Proficiency with public cloud platforms such as AWS and Azure. Strong exposure to container technologies (e.g., Docker, Kubernetes, AWS EKS, AKS).
• Hands-on experience with automation and infrastructure-as-code using tools like Terraform, AWS CloudFormation, SAM, ARM, and Bicep.
• Experience in developing

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