About the Role
Hevo's platform moves and transforms data for thousands of customers, around the clock. We're looking for a Staff Platform Engineer to own the reliability, scalability, and observability of the infrastructure that makes that possible — a senior, hands-on engineer who can both operate at depth in AWS and Kubernetes and set technical direction for the broader Platform/DevOps function.
About Hevo
Hevo is a fully-managed, no-code data pipeline platform that helps organizations move, transform, and activate their data in real time. With 150+ pre-built, battle-tested connectors, Hevo lets data teams focus on insights instead of pipeline maintenance — trusted by 2,000+ organizations globally to keep their data flowing reliably, securely, and in compliance with standards like SOC 2, GDPR, and HIPAA.
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Own end-to-end reliability, scalability, and performance of Hevo's production infrastructure on AWS, GCP and Kubernetes
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Design and evolve our observability stack — metrics, logs, traces, alerting, SLIs/SLOs, and error budgets
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Lead incident management: on-call rotations, blameless postmortems, and systematically reducing MTTA/MTTR
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Drive infrastructure-as-code practices (Terraform, Ansible) and own CI/CD pipeline design
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Architect and operate Kubernetes clusters at scale — upgrades, autoscaling, cost optimization, multi-tenant workloads
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Own network architecture and security posture for cloud infrastructure (VPCs, load balancers, service mesh, zero-trust networking)
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Partner with product engineering teams to embed reliability and operational excellence into the software lifecycle
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Mentor and uplevel other platform engineers; set technical direction and engineering best practices
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Own capacity planning and cost optimization for cloud infrastructure
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8+ years in DevOps, SRE, or Platform engineering roles, including meaningful time operating at Staff/Lead level
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Deep, hands-on expertise running production Kubernetes at scale
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Strong AWS expertise (EC2, VPC, EKS, RDS, IAM, networking, security groups)
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Proven track record building observability stacks (OTel, Grafana, Telegraf, Influx or similar)
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Strong scripting/automation skills (Python, Go, or Bash)
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Infrastructure-as-code experience (Terraform, Ansible)
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CI/CD pipeline design and ownership (Jenkins or similar)
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Solid networking fundamentals — TCP/IP, DNS, load balancing, VPNs, service mesh
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Experience owning on-call/incident management and driving a strong postmortem culture
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Excellent communication skills — able to influence engineering decisions across teams without direct authority
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Experience with multi-region or multi-cloud architectures
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Familiarity with cost optimization / FinOps practices
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Exposure to compliance-driven environments (SOC 2, GDPR)
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Prior experience at a SaaS or data infrastructure company