Note: The job is a remote job and is open to candidates in USA. Nightingale College is focused on enhancing the productivity of its technology organization through Platform Engineering. The role of Platform Engineer involves designing solutions for systemic issues, managing multi-cloud infrastructure, and ensuring reliability while integrating AI capabilities into developer workflows.
Responsibilities
- Identify problems common to multiple technology teams and design platform-level solutions instead of bespoke fixes
- Build and operate self-service infrastructure, tooling, and paved paths that let product teams move quickly without reinventing foundations
- Own CI/CD pipelines and the guardrails that ensure code deploying to production is high quality and secure
- Drive site reliability design and structure — defining and meeting reliability targets, reducing toil, and keeping production healthy and observable
- Own multi-cloud infrastructure (currently GCP and AWS) as code, including networking, compute, and the connective tissue between providers
- Administer the Cato (SASE) network and handle a good amount of hands-on networking — including standing up new site-to-site connections between Cato and our major vendors
- Design and maintain Kubernetes-based platforms — cluster architecture, workload patterns, and the developer-facing abstractions on top
- Write production-grade internal tooling and services in such technologies as Go and Python
- Embed security into the platform by default: least-privilege access models, RBAC, secrets management, and secure-by-default infrastructure patterns. As owners for AWS, GCP, and GitHub, help govern how access is granted and governed for teams and individuals
- Integrate AI capabilities (e.g., Claude) into internal developer tooling and workflows where they meaningfully reduce toil
- Lead system design and architecture decisions, weighing tradeoffs, and documenting the decisions clearly for stakeholders
- Own enterprise architecture: maintain a coherent view of how major systems fit together and drive the integration work that keeps them connected and consistent
- Partner on the design and architecture of new systems, services, and applications early — shaping them before they're built rather than reacting after
- Build automations and streamline workflows for peer functions such as ITSM and IT Demand Management, reducing manual effort and improving how work flows across the organization
- Drive system and dependency consolidation under a “bigger, better, fewer” approach, retiring redundant tools in favor of fewer, more capable platforms as the organization matures
- Partner with technology teams and technical power users to understand their pain, prioritize platform investments by leverage, and measure the impact of what you ship
Skills
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Multi-cloud systems and networking. Hands-on experience operating production workloads across more than one cloud (GCP and AWS preferred), including cross-cloud and site-to-site networking and the tradeoffs between providers. Familiarity with SASE platforms such as Cato — including administering the network and establishing site-to-site connections to vendors — is a strong plus
- Terraform. Strong infrastructure-as-code discipline — modular, reviewable, and built for a team to maintain rather than one person to understand
- Kubernetes. Deep practical knowledge of cluster operations, networking, and workload management, plus the judgment to know when not to add complexity
- Go and Python. Able to build and maintain real services and tooling, not just scripts
- Web applications and data pipelines. Familiarity — required at every level — with how modern web applications and data-engineering pipelines are built, deployed, and operated
- Cybersecurity. A security-first mindset applied to access control, identity, secrets, and infrastructure hardening
- RBAC and access management. Strong working knowledge of role-based access control and identity platforms (e.g., Entra ID), including standardized role modeling
- AI tooling. Familiarity integrating LLMs such as Claude into developer workflows and internal applications
- System design, architecture, and integration. Comfortable designing systems at the org level and reasoning about how major systems integrate into a coherent enterprise architecture. Strong on reliability, scale, and operational simplicity, with the judgment to choose pragmatic solutions that leverage existing infrastructure over novel complexity
- Communication. Can explain technical tradeoffs clearly to both technical and non-technical stakeholders, write crisp design docs, and build alignment across teams
- Leadership. Sets technical direction, influences without authority, mentors other technologists, and drives platform decisions to resolution rather than letting ownership stay ambiguous
- Service mindset. Genuinely treats all collaborators as customers
- Pragmatism. Biases toward operationally simple solutions and is willing to have their own designs stress-tested rather than defended
- Relationships. Builds and sustains solid, trust-based relationships with leaders across the company — technical and non-technical alike
- Business and shareholder value. Understands that everything we do and build should add stakeholder value
- Growth mindset. On this team the learning is never done
- Experience building developer platforms or internal developer portals
- Background in SRE or DevOps and familiarity with SLA/SLO frameworks
- Exposure to data platforms and enterprise system integration
Company Overview