About the job Location: On-site — Cambridge, MA (Eastern Time / UTC -4) Start date: ASAP Languages: English (required) We are hiring at Pragmatike to expand our team and drive the growth of our internal projects. Our focus is on developing cutting-edge solutions in Cloud Computing, Blockchain, and Artificial Intelligence, while fostering a culture of collaboration and innovation. Joining us means being part of a passionate team where your ideas and skills directly contribute to shaping tomorrow's technologies. If you're passionate about applied AI and enjoy solving real problems in a fast-paced environment, we’d love to meet you. Responsabilities: Architect, develop, and maintain scalable and secure infrastructure systems.

Take ownership of the release lifecycle for Kubernetes-based components delivered to customers (e.g. Helm charts, CRDs, custom binaries, and agents).

Define and implement robust versioning strategies, upgrade processes, and rollback mechanisms for distributed Kubernetes deployments.

Automate and secure deployment workflows for both cloud-native and on-premise environments.

Establish secure methods for artifact delivery, including OCI-compliant registries, GitOps-driven pipelines, and private artifact repositories.

Collaborate with product engineering to define clear boundaries and interfaces between hosted and customer-deployed infrastructure.

Offer cross-cloud infrastructure support and strategy spanning AWS, GCP, and Azure.

Skills & Qualifications: Minimum 5 years of experience in DevOps, infrastructure, or platform engineering.

Advanced knowledge of Kubernetes — including authoring Helm charts, CRDs, and managing custom controllers or operators.

Proven hands-on expertise with all three major cloud platforms: AWS, GCP, and Azure, with awareness of their specific behaviors and limitations.

Experience in building and maintaining software distribution models for customer-hosted or hybrid cloud environments.

Familiar with modern CI/CD tools and pipelines such as GitHub Actions, ArgoCD, or CircleCI.

Proficient in infrastructure-as-code and scripting, including tools like Terraform, Helm, and languages like Bash, Go, or Python.

Knowledge of secure image distribution and software supply chain tools such as Cosign, SBOMs, and SLSA is a strong advantage.

Strong communication skills with the ability to work across internal engineering teams and directly with customer DevOps teams.

Nice to Have: Experience delivering commercial-grade Kubernetes tooling or operators (e.g. Prometheus Operator, Datadog Agent).

Understanding of Kubernetes RBAC, multi-tenancy, and enterprise-grade deployment practices.

Familiarity with zero-downtime deployment techniques and service mesh technologies (e.g. Istio, Linkerd).

Security expertise in cloud-native and Kubernetes ecosystems.

Why Join Us: Join an agile and ambitious team working at the frontier of AI and enterprise technology.

Contribute directly to critical infrastructure powering next-generation applications.

Thrive in a fast-paced, collaborative environment with a clear path to growth and leadership.

Enjoy a competitive compensation package with equity and benefits.

Access ongoing learning opportunities and exposure to cutting-edge technologies.