Platform Engineer

Design, build, and operate the shared compute, networking, and deployment infrastructure underpinning Match Group's shared services.

Improve the developer experience for engineers across the division by designing and delivering improvements to CI/CD, observability infrastructure, agentic tooling, and other components of the broader SDLC.

Collaborate with and enable development teams from globally recognizable brands such as Tinder, Hinge, Match.com, POF, and OKC, in order to facilitate their integrations into, and productivity on, the shared service platform.

Collaborate with cross-functional teams, including product managers, security, IT, and finance, to ensure solution delivery is timely, robust, cost-efficient, and more.

Monitor and troubleshoot issues related to the performance, scalability, accuracy, and overall reliability of the foundations of the shared platform.

Participate in an on-call rotation for mission-critical production systems, lead incident response, and drive postmortems through to completed remediation.

Perform capacity planning and cost optimization, and co-manage SLIs/SLOs and OpEx budgets across an expansive, cloud-based platform.

Create and maintain comprehensive documentation, including technical specifications, engineering standards, and operational guides/runbooks.

Keep up-to-date with industry trends and best practices to drive innovation and enhance the performance of central services.

3+ years of experience as a platform, infrastructure, DevOps, or site reliability engineer.

1+ years of experience working within major cloud platforms, such as AWS, with a strong understanding of their core compute, networking, and IAM primitives.

1+ years of experience administering a container orchestration platform, ideally Kubernetes and cloud-based (EKS, GKE, etc), with working knowledge of container-orchestration-to-cloud interoperation concepts (e.g. workload identities, cloud load balancers).

1+ years of experience administering Linux systems, including Linux-based containers, with solid performance tuning and troubleshooting capabilities.

Experience supporting a service platform, including its CI/CD pipelines, observability systems, ingress/egress, service-to-service communication (mesh) and service-to-resource (RDBMSes, messaging/streaming, caches, etc).

Experience working with observability tools, including configuration of alerts and participation in on-call rotations and incident management ceremonies.

Experience with expressing infrastructure as code, and provisioning it with tools such as Terraform.

Experience working with cross-functional teams, including security, IT, and finance, responding to security, compliance issues, and FinOps-related tasks.

Strong written and verbal communication skills with both technical peers and business/brand stakeholders.

Experience administering and building in AWS, with a strong understanding of AWS-specific concepts.

Experience administering, or strong working knowledge of, AI-enabling infrastructure such as LLM or MCP gateways.

Experience administering and building in Databricks, or another comparable data lakehouse platform.

Experience working with various storage technologies, spanning blob (S3), SQL (PostgreSQL), NoSQL (DynamoDB), KV (Redis), and streaming (Kafka, Kinesis).

Experience working at B2B/SaaS companies.