Semrush

Your competitors' favorite marketing platform used by 10,000,000 marketers

Senior Integration Platform Engineer

Platform EngineerPlatform EngineerFull TimeRemoteTeam 1,001-5,000Since 2008H1B SponsorCompany SiteLinkedIn

Location

California + 3 moreAll locations: California, Florida, New York, Texas

Posted

30 days ago

Salary

Not specified

Bachelor Degree2 yrs expEnglishAirflowApacheBig QueryCloudDockerGoogle Cloud PlatformGRPCJava ScriptPythonSQLTerraformGo

Job Description

• Own and evolve the core integration and data backbone that underpins GTM Analytics, Enterprise-grade AI tooling, and Business-critical data flows across Semrush. • Design and operate secure, scalable cloud services and data integrations used across regions and teams. • Play a key role in supporting post-acquisition integration work with Adobe. • Design, build, and operate production APIs and cloud services (REST and/or gRPC) on Google Cloud Platform. • Own Cloud Deployed Solutions/Scripts (Cloud Run, Docker, etc.) that power integration, provisioning, and internal enablement platforms. • Build and maintain secure, event-driven integration patterns (Pub/Sub, async workflows). • Own business-critical data integrations, including global compensation and finance-adjacent feeds with SOX relevance. • Design and enforce security and access boundaries (IAM, secrets, service-to-service auth, cloud ↔ on-prem connectivity). • Drive cost-efficient cloud execution, including batching, async processing, and pricing-aware architecture decisions. • Build and operate enterprise-grade AI services, with clear cost, latency, and quality trade-offs. • Design reliable data ingestion patterns that support analytics, executive reporting, and downstream consumers. • Act as primary owner for integration infrastructure and enterprise AI tooling for the RevOps team. • Act as secondary owner for analytics pipelines to ensure coverage and eliminate single points of failure. • Lead operational ownership: monitoring, alerting, incident response, root-cause analysis, and audit readiness. • Partner with Analytics Engineering and Analytics teams to ensure stable, well-governed data flows. • Enable Go-To-Market Engineering teams through reliable APIs, integrations, and automation primitives. • Work with Security, Finance, and Legal stakeholders on access control, auditability, and compliance-relevant systems. • Support global teams across regions and time zones.

Job Requirements

  • Core engineering experience
  • Senior backend / platform engineer with strong systems thinking
  • Proven experience owning production, business-critical systems end-to-end
  • Strong Python, Go, or JavaScript engineering background
  • Hands-on experience building and operating production data warehouse tables (BigQuery or similar), with strong SQL and a focus on reliability, performance, and AI-ready data design
  • API design experience with attention to contracts, versioning, and backward compatibility
  • Experience with event-driven and asynchronous architectures
  • Strong grounding in data engineering principles
  • Experience operating data pipelines that support executive, financial, or compensation reporting
  • Comfort working in environments with auditability, controls, and change discipline (SOX familiarity is a plus)
  • Hands-on experience with GCP (Cloud Run, Cloud Functions, Pub/Sub)
  • Hands-on experience with Google Cloud Container tools (Cloud Run, GKE, Artifact Registry, Docker)
  • Experience with IAM, least-privilege access, and secrets management
  • Infrastructure-as-code (Terraform or equivalent)
  • Experience with orchestration tools such as Apache Airflow is a plus.
  • Native, daily use of AI coding tools such as Claude Code, Codex, Cursor, or equivalent
  • Experience applying AI tools to production code development and refactoring, debugging and incident analysis, architectural trade-off evaluation
  • Experience assessing LLM cost economics
  • Demonstrated ability to reason about business impact, not just technical correctness
  • Experience working with or adjacent to Sales, RevOps, or Finance teams where data quality or availability affected revenue, incentives, or compensation.
  • Strong judgment balancing speed, cost, risk, and correctness.

Benefits

  • Unlimited PTO
  • Health insurance
  • Travel insurance
  • Flexible working hours
  • Employee Assistance Program
  • Employee Resource Groups
  • Paid parental leave
  • Relief Fund
  • Corporate events, teambuildings
  • Snacks, drinks at the office

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