We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 7.400 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
Main Responsibilities/Activities:
Designs, develops, and maintains CI/CD pipelines for automating builds and ensuring high-quality data platform (testing, linting, static code analysis, and deployment) using tools like Bitbucket and Git.
Implements infrastructure as code (IaC) principles with Terraform to provision and manage resources in Google Cloud Platform (GCP) environments.
Configures and manages container orchestration platforms, such as Kubernetes and Rancher, for scalable and resilient application deployments.
Collaborates with data teams to optimize performance, scalability, and reliability, including virtual machines (VMs) and network configurations.
Implements monitoring and logging solutions for system performance and real-time troubleshooting.
Provides technical support on DevSecOps tools and practices, fostering a culture of collaboration and continuous improvement.
Demonstrates proficiency in agile methodologies, participating in sprint planning, stand-ups, and retrospectives for timely delivery of high-quality solutions.
Collaborates closely with cross-functional teams to prioritize tasks and deliver user-centric solutions.
Enhances automation processes using AI techniques to improve workflow and operational efficiency.
Softskills:
Systems thinking and strategic communication: ability to connect business goals to architectural decisions, explain trade-offs clearly to both executives and engineers, and maintain a north star roadmap.
Technical leadership and mentorship: guides design reviews, elevates coding/cloud architecture standards and provides constructive feedback.
Stakeholder management and influence without authority: aligns security, data, infra, and product teams around shared outcomes; negotiates priorities; resolves conflicts with empathy and evidence.
Decision-making under uncertainty: structures ambiguity, frames options with risks/costs, makes timely decisions with incomplete data, and revisits choices via lightweight ADRs.
Ownership and reliability mindset: drives end-to-end accountability (from design to operations), champions SLOs/SLIs, fosters a blameless culture, and leads postmortems to continuous improvement.
Keywords: DevSecOps, CI/CD, infrastructure as code, containerization, Kubernetes, Rancher, virtual machines (VMs), Terraform, Google Cloud Platform (GCP), network management, monitoring, security, scalability, automation, Bitbucket, Git.