Job Description
Job Description
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:
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Architect, develop, and maintain scalable and secure infrastructure systems.
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Take ownership of the release lifecycle for Kubernetes-based components delivered to customers (e.g. Helm charts, CRDs, custom binaries, and agents).
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Define and implement robust versioning strategies, upgrade processes, and rollback mechanisms for distributed Kubernetes deployments.
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Automate and secure deployment workflows for both cloud-native and on-premise environments.
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Establish secure methods for artifact delivery, including OCI-compliant registries, GitOps-driven pipelines, and private artifact repositories.
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Collaborate with product engineering to define clear boundaries and interfaces between hosted and customer-deployed infrastructure.
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Offer cross-cloud infrastructure support and strategy spanning AWS, GCP, and Azure.
Skills & Qualifications:
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Minimum 5 years of experience in DevOps, infrastructure, or platform engineering.
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Advanced knowledge of Kubernetes — including authoring Helm charts, CRDs, and managing custom controllers or operators.
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Proven hands-on expertise with all three major cloud platforms: AWS, GCP, and Azure, with awareness of their specific behaviors and limitations.
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Experience in building and maintaining software distribution models for customer-hosted or hybrid cloud environments.
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Familiar with modern CI/CD tools and pipelines such as GitHub Actions, ArgoCD, or CircleCI.
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Proficient in infrastructure-as-code and scripting, including tools like Terraform, Helm, and languages like Bash, Go, or Python.
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Knowledge of secure image distribution and software supply chain tools such as Cosign, SBOMs, and SLSA is a strong advantage.
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Strong communication skills with the ability to work across internal engineering teams and directly with customer DevOps teams.
Nice to Have:
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Experience delivering commercial-grade Kubernetes tooling or operators (e.g. Prometheus Operator, Datadog Agent).
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Understanding of Kubernetes RBAC, multi-tenancy, and enterprise-grade deployment practices.
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Familiarity with zero-downtime deployment techniques and service mesh technologies (e.g. Istio, Linkerd).
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Security expertise in cloud-native and Kubernetes ecosystems.
Why Join Us:
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Join an agile and ambitious team working at the frontier of AI and enterprise technology.
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Contribute directly to critical infrastructure powering next-generation applications.
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Thrive in a fast-paced, collaborative environment with a clear path to growth and leadership.
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Enjoy a competitive compensation package with equity and benefits.
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Access ongoing learning opportunities and exposure to cutting-edge technologies.