Staff Infrastructure Engineer, Kalderos

• The ideal candidate should have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so
• You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes
• Cloud & Platform: Deep experience with at least one major cloud provider, Azure preferred, (AWS, Azure, or GCP) at an architectural level; proven ability to design and operate highly available, secure, cloud-native systems
• Containers & Orchestration: Hands-on experience with Kubernetes or similar, plus key ecosystem tools (ingress, service mesh, operators)
• Infrastructure as Code & Automation: Expert with IaC (Terraform, CloudFormation, Pulumi, etc.), modular design, and automation using Python, Go, or similar
• CI/CD & Delivery: Experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, CircleCI, Azure DevOps), including progressive delivery (blue/green, canary, feature flags) and safe rollback
• Observability & SRE: Strong understanding of SRE principles and hands-on work with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, New Relic)
• Security, Compliance & Networking: Deep understanding of cloud security best practices, IAM, network segmentation, secrets management, and encryption; familiarity with frameworks like SOC 2, HIPAA, HITRUST; strong grasp of networking (VPCs, subnets, routing, load balancers, VPNs, firewalls)
• Data & Emerging Tech: Experience supporting data platforms and pipelines in the cloud and familiarity with ML/AI infrastructure impacts on architecture and cost
• Demonstrated ability to set technical direction and influence multiple teams without formal authority
• Proven track record leading complex, cross-functional initiatives from design through rollout
• Strong written and verbal communication skills; able to explain tradeoffs and decisions to both engineers and business stakeholders
• Passion for mentoring and coaching other engineers and raising the overall technical bar
• Comfort operating in ambiguity, making pragmatic decisions, and iterating as you learn
• We encourage you to apply if you think you may be a fit and give us both a chance to find out!

Desirable

• We are looking for a collaborative Staff Infrastructure Engineer
• Across all roles, we look for future team members who will live our values of being BOLD (Bias to Action, One Team, Lead by Example, Dumpster Diving Data Mavens)
• Own critical infrastructure and support platform domains end to end
• Set direction and standards for reliability, security, and developer experience
• Lead complex, cross-team initiatives and architecture decisions
• Act as a force multiplier by mentoring and unblocking other engineers
• Define and evolve infrastructure and support platform architecture for key products and services
• Drive a multi-year roadmap for reliability, security and support platform capabilities
• Establish reference architectures and golden paths that product and data teams can adopt
• Lead adoption of SRE practices: SLOs/SLIs, error budgets, incident management, and post-incident reviews
• Design and maintain observability (metrics, logs, traces, alerts, dashboards) across services and infrastructure
• Automate runbooks and self-healing mechanisms to reduce toil and improve MTTR
• Design and evolve a self-service platform (environments, CI/CD, infra templates) that helps teams ship safely and quickly
• Own and improve Infrastructure as Code (IaC) and GitOps workflows
• Build reusable platform components and tools that standardize how services are built, deployed, and operated
• Partner with Security and Compliance to embed zero-trust, least privilege, and encryption into infrastructure patterns
• Support healthcare-grade compliance (e.g., SOC 2, HIPAA, HITRUST) through infrastructure design and automation
• Collaborate with data teams on secure, reliable data platforms and pipelines
• Lead FinOps practices: visibility into spend, cost optimization, and guardrails that balance cost and reliability
• Design for resilience and recovery: backup/restore, DR, and regional failover strategies
• Continuously tune performance and capacity across compute, storage, and networking