Platform Engineer
unknownRemote
Salary Range (USD)
Negotiable
Location
USA
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • Own AWS infrastructure for Placekey and support Senzing's core operations
- • Manage day-to-day operations and harden the new environment
- • Provide input on infrastructure direction and modernization
- • Operate and maintain production Kubernetes (EKS) clusters
- • Manage Aurora PostgreSQL instances including backup, recovery, and tuning
- • Implement infrastructure as code using Terraform
- • Ensure solid networking and monitoring across the platform
Required Skills
AWS platform/cloud infrastructureKubernetes (EKS)Aurora PostgreSQLInfrastructure as Code (Terraform)NetworkingPythonBash
Engineering Culture & Tech Stack
EKS FargateAurora PostgreSQLS3LambdaCloudflareKongGrafanaCloudWatchDatadogScalaRustPythonBash
ownership
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Senzing | Platform Engineer | Remote (USA) | Full-Time
Senzing builds enterprise entity-resolution SDK technology — an embeddable library that runs entirely inside customer infrastructure with zero data exfiltration. We're hiring a platform engineer to own AWS infrastructure for Placekey (our location-data subsidiary, production API at scale) and support Senzing's core ops.
This isn't a keep-the-lights-on role. We just completed an infra migration and are actively modernizing. You'd own day-to-day operations, harden the new environment, and have real input on where it goes.
Stack: EKS Fargate, Aurora PostgreSQL, S3, Lambda, Cloudflare, API gateway (Kong/AWS), Terraform, Grafana/CloudWatch/Datadog. Apps are Scala and Rust.
Looking for: 5+ years platform/cloud infra, production Kubernetes (EKS ideal), managed Postgres (backup/recovery/tuning), IaC, solid networking, strong Python/Bash.
Remote anywhere in the USA. Competitive salary, full health/dental/vision, 401(k) match, flexible PTO.
To apply: email enghiring@senzing.com with your resume and a short note — tell us about a challenging production system you've owned end to end, including an incident where your monitoring missed something and what you changed afterward.
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