{"id":4323614,"url":"https://alion.io/job/match-group-platform-engineer","title":"Platform Engineer","company":{"id":4277,"name":"Match Group","domain":"mtch.com","url":"https://alion.io/company/match-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-11-14T05:58:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":107800,"max":128300,"currency":"CAD","period":"year","gross":null,"usd_annual":89954},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"FinOps","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Databricks","optional":true},{"name":"DynamoDB","optional":true},{"name":"GCP","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-14T20:24:04Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T22:25:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a talented and motivated Platform Engineer to join the Match Group Core Platform Infrastructure team.\nMatch Group Core is the central services division for Match Group, providing shared services and data solutions for all brands under the Match Group portfolio, including Tinder, Hinge, Match.com, POF, OKC, and many others. As a member of the Platform Infrastructure team, you'll play a crucial role in designing, building, maintaining, and scaling the foundational systems that our development teams depend on to deliver their SaaS-services to the broader portfolio of dating brands. In addition to platform engineering responsibilities, this role will also encompass some site reliability engineering duties, including participation in a team on-call schedule.\nThis role is a hybrid role and requires in-office collaboration three times per week.\nIn this role, you will:\nDesign, build, and operate the shared compute, networking, and deployment infrastructure underpinning Match Group's shared services.\n\nImprove 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.\n\nCollaborate 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.\n\nCollaborate with cross-functional teams, including product managers, security, IT, and finance, to ensure solution delivery is timely, robust, cost-efficient, and more.\n\nMonitor and troubleshoot issues related to the performance, scalability, accuracy, and overall reliability of the foundations of the shared platform.\n\nParticipate in an on-call rotation for mission-critical production systems, lead incident response, and drive postmortems through to completed remediation.\n\nPerform capacity planning and cost optimization, and co-manage SLIs/SLOs and OpEx budgets across an expansive, cloud-based platform.\n\nCreate and maintain comprehensive documentation, including technical specifications, engineering standards, and operational guides/runbooks.\n\nKeep up-to-date with industry trends and best practices to drive innovation and enhance the performance of central services.\n\nWhat we're looking for:\n3+ years of experience as a platform, infrastructure, DevOps, or site reliability engineer.\n\n1+ years of experience working within major cloud platforms, such as AWS, with a strong understanding of their core compute, networking, and IAM primitives.\n\n1+ 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).\n\n1+ years of experience administering Linux systems, including Linux-based containers, with solid performance tuning and troubleshooting capabilities.\n\nExperience 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).\n\nExperience working with observability tools, including configuration of alerts and participation in on-call rotations and incident management ceremonies.\n\nExperience with expressing infrastructure as code, and provisioning it with tools such as Terraform.\n\nExperience working with cross-functional teams, including security, IT, and finance, responding to security, compliance issues, and FinOps-related tasks.\n\nStrong written and verbal communication skills with both technical peers and business/brand stakeholders.\n\nBonus points if you have:\nExperience administering and building in AWS, with a strong understanding of AWS-specific concepts.\n\nExperience administering, or strong working knowledge of, AI-enabling infrastructure such as LLM or MCP gateways.\n\nExperience administering and building in Databricks, or another comparable data lakehouse platform.\n\nExperience working with various storage technologies, spanning blob (S3), SQL (PostgreSQL), NoSQL (DynamoDB), KV (Redis), and streaming (Kafka, Kinesis).\n\nExperience working at B2B/SaaS 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