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PALO IT

AI Native Software Engineer (Background core Python)

Engineering

Employment

Full-time
From the employer

FullTime

Level

Not stated

Team

Technology / Mexico - Staffing Mission
Not doable from Austria

Country assessment

Not doable from Austria because the employer's own board marks it as not remote.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

TypeScriptJavaScriptPythonReactVueREST APIsKafkaKubernetesDockerTerraformAWSGCPAzureLLMsCI/CDObservability

Job description

 

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. 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 (10 countries, 450+ experts from 50+ nationalities)

  • We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

  • We are robust and resilient (100% independent, 0 debt, founded 2009)

  • We are AI-native professionals who invest in what we believe and work as a collective intelligence

  • We are positive, courageous and deliver at the leading edge.

Your Role

 

As a Full Stack Developer, you will be responsible for designing, developing, and implementing scalable, secure, and high-quality solutions based on modern microservices architectures and cloud technologies. You will contribute to both Frontend and Backend development, collaborating with cross-functional teams to deliver reliable applications and services.

  • Develop Frontend and Backend applications using Python, Node.js, React, and related technologies.

  • Implement microservices and design, develop, and integrate REST APIs.

  • Build and maintain web interfaces using modern JavaScript and TypeScript frameworks.

  • Participate in cloud deployments and the development of cloud-native solutions.

  • Apply software development best practices, including SOLID principles, Clean Code, and security standards.

  • Develop and execute unit and integration tests to ensure software quality and reliability.

  • Collaborate with architects, analysts, and data scientists to define and implement technical solutions.

  • Participate in Agile Scrum ceremonies, manage tasks through Jira, and contribute to sprint objectives.

  • Maintain technical documentation, version-controlled code, and deployment and testing evidence.

  • Troubleshoot incidents, optimize application performance, and support service availability.

 

Who You Are

  • 3–5 years of experience in Full Stack Development and enterprise software solutions.

  • Strong knowledge of Python, Node.js, React, JavaScript, TypeScript, and REST APIs.

  • Experience with microservices architecture, SQL databases, Git, GitHub, and Jira.

  • Knowledge of Docker, unit testing, SOLID principles, and Clean Code practices.

  • Experience with cloud platforms such as GCP, AWS, or Azure.

  • Understanding of Agile methodologies, CI/CD, and cloud deployments.

  • Strong analytical thinking, communication, collaboration, organization, and results orientation.

  • Intermediate English.

  • Desirable: Experience with Vue.js, Kubernetes, messaging systems (Pub/Sub, RabbitMQ, or Kafka), OAuth2, JWT, BigQuery, monitoring, observability, Terraform, and AI API integrations.

  • Desirable Certifications: Google Associate Cloud Engineer, Professional Cloud Developer, AWS Solutions Architect Associate, AWS Developer Associate, or Azure Developer Associate.

 

AI-Native Engineering (Core Expectation) 

  • Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for: 

  • Code scaffolding and refactoring

  • Code generation and optimisation

  • Test-cases and documentation generation

  • Build applications through AI-driven development practices, including: 

  • AI-assisted debugging and troubleshooting

  • Intelligent code completion and pattern recognition

  • Automated documentation generation

  • Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

  • Validate GenAI output (determinism checks, guardrails, fallback logic).

 

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

  • Stimulating working environments

  • Unique career path

  • International mobility

  • Internal R&D projects (including Gen-e2™)

  • Knowledge sharing

  • Personalized training via PALO IT Academy

  • Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.