• Implement AWS cloud standards for infrastructure, networking, and software components, optimizing for security, speed, and cost-efficiency. • Support new technologies to stay ahead of the needs of the business. • Collaborate with development teams to ensure their applications are optimized for deployment in an IaC environment, and meet security and compliance requirements. • Support and maintain automation and deployment processes to enable and improve developer experience and efficiency. • Support our pattern libraries for IaC to enable developers to “plug-and-play” to build out their own environments. • Support monitoring and logging solutions to allow development teams to assure their platform is performing at its best. • Encourage developer autonomy and self-service by contributing to developer training and documentation for Platform products. • Promote a supportive culture focused on building reliable systems and processes based on established best practices in the industry. • Troubleshoot and resolve issues in AWS, including security, performance and scalability issues. • Support our security and compliance measures to ensure the AWS services meets regulatory requirements. • Participate in on-call rotation to provide support for internal developer services.

Role Description We are looking for a Cloud Architect with a strategic mindset to lead the definition and evolution of enterprise-level cloud architectures. This role is key to ensuring systems are robust, modular, and ready for the adoption of artificial intelligence solutions. The position is fully remote. - Define and maintain enterprise cloud architecture across Azure environments, establishing standards for networking, security, IAM, and resource organisation. - Evaluate and guide platform strategy across Azure, Snowflake, Databricks, and related tooling. - Establish architectural principles for AI-enabled applications, ensuring systems are API-driven, modular, and scalable. - Identify architectural constraints that limit autonomous/agent workflows and create reference patterns for AI-to-production transitions. - Guide the evolution of CI/CD pipelines, including potential GitHub Enterprise migration, ensuring deployment patterns are scalable, secure, and repeatable. - Define application architecture standards (front-end, APIs, services) and implement lightweight governance for AI-generated code before production. - Quantify and manage technical debt across systems, reducing key-person dependencies in infrastructure design. Qualifications - 4+ years of experience in cloud solutions architecture, with at least 3 years in architecture design or definition roles (not solely implementation). - Advanced proficiency in Azure: networking, IAM, security, resource organisation, and core services. - Experience with cloud data platforms: Snowflake and/or Databricks. - Knowledge of CI/CD strategies and tooling (GitHub Actions, Azure DevOps, GitHub Enterprise). - Experience designing API-driven systems and architectures oriented toward AI or autonomous agent integration. - Familiarity with IaC and automation tools: Terraform, Bicep, Azure ARM, or equivalent. - Understanding of containerisation and orchestration: Docker, Kubernetes. - Experience in technical governance: managing technical debt, defining standards, and creating reference patterns. - Upper-intermediate to advanced English (technical reading and team communication). Benefits - A stable, long-term contract with professional growth opportunities. - Private health insurance. - Ongoing training, mentorship, and learning programs to keep you at the forefront of the industry. - Free access to AI training resources and cutting-edge AI tools to elevate your daily work. - A flexible paid time off (PTO) policy in addition to paid holidays. - Challenging, world-class software projects for clients across the United States and Latin America. - Collaboration with some of the most talented software engineers in Latin America and the United States, in a diverse work environment.

Role Description We are looking for a Cloud Architect with a strategic mindset to lead the definition and evolution of enterprise-level cloud architectures. This role is key to ensuring systems are robust, modular, and ready for the adoption of artificial intelligence solutions. The position is fully remote. - Define and maintain enterprise cloud architecture across Azure environments, establishing standards for networking, security, IAM, and resource organisation. - Evaluate and guide platform strategy across Azure, Snowflake, Databricks, and related tooling. - Establish architectural principles for AI-enabled applications, ensuring systems are API-driven, modular, and scalable. - Identify architectural constraints that limit autonomous/agent workflows and create reference patterns for AI-to-production transitions. - Guide the evolution of CI/CD pipelines, including potential GitHub Enterprise migration, ensuring deployment patterns are scalable, secure, and repeatable. - Define application architecture standards (front-end, APIs, services) and implement lightweight governance for AI-generated code before production. - Quantify and manage technical debt across systems, reducing key-person dependencies in infrastructure design. Qualifications - 4+ years of experience in cloud solutions architecture, with at least 3 years in architecture design or definition roles (not solely implementation). - Advanced proficiency in Azure: networking, IAM, security, resource organisation, and core services. - Experience with cloud data platforms: Snowflake and/or Databricks. - Knowledge of CI/CD strategies and tooling (GitHub Actions, Azure DevOps, GitHub Enterprise). - Experience designing API-driven systems and architectures oriented toward AI or autonomous agent integration. - Familiarity with IaC and automation tools: Terraform, Bicep, Azure ARM, or equivalent. - Understanding of containerisation and orchestration: Docker, Kubernetes. - Experience in technical governance: managing technical debt, defining standards, and creating reference patterns. - Upper-intermediate to advanced English (technical reading and team communication). Benefits - A stable, long-term contract with professional growth opportunities. - Private health insurance. - Ongoing training, mentorship, and learning programs to keep you at the forefront of the industry. - Free access to AI training resources and cutting-edge AI tools to elevate your daily work. - A flexible paid time off (PTO) policy in addition to paid holidays. - Challenging, world-class software projects for clients across the United States and Latin America. - Collaboration with some of the most talented software engineers in Latin America and the United States, in a diverse work environment.

Role Description You will join the AWS cloud practice, supporting changing international client engagements across: - Platform engineering - Cloud architecture - Migrations - Data platforms - AI-enabled systems - Production cloud environments The role is AWS-first, but many projects require multi-cloud thinking, especially: - Azure exposure - Kubernetes - Terraform - CI/CD - Security - Observability - Close cooperation with engineering and client teams Your contributions will include: - Designing secure, scalable and cost-effective AWS cloud architectures - Defining architecture standards for Kubernetes, IaC, CI/CD, networking and observability - Supporting multi-cloud solutioning, especially where AWS integrates with Azure-based environments - Reviewing Terraform, platform components, deployment pipelines and architecture decisions - Guiding engineers in translating client requirements into production-ready designs - Supporting discovery, estimations, risk assessment and technical proposal work - Driving cloud security, reliability, operability and production-readiness practices - Mentoring engineers and acting as a technical advisor for clients and delivery teams Qualifications - Strong experience as Cloud Architect, Platform Architect or Lead Cloud Engineer - Deep AWS knowledge, including IAM, VPC, compute, storage, databases, EKS and security - Practical experience with at least one other cloud platform (preferably Azure) - Hands-on experience with Terraform and Infrastructure as Code standards - Strong understanding of Kubernetes, containers and cloud-native platform design - Experience designing CI/CD, environment promotion and production release models - Ability to design secure, observable and maintainable distributed systems - Strong communication skills and the ability to collaborate effectively with both technical and business stakeholders Requirements - Experience with Azure DevOps, AKS, Microsoft Fabric or Azure AI services - Familiarity with AI/LLM platforms, RAG, API gateways or authorization-aware systems - Experience in regulated, financial, data-heavy or integration-heavy environments Benefits - Flexible employment and remote work - International projects with leading global clients - International business trips - Non-corporate atmosphere - Language classes - Internal & external training - Private healthcare and insurance - Multisport card - Well-being initiatives Company Description Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.