Senior Integration Platform Engineer (Sales Team)

Semrush is a leading online visibility management SaaS platform, and they are seeking a Senior Integration Platform Engineer to enhance their core integration and data infrastructure. This role involves designing and operating secure, scalable cloud services and data integrations, while collaborating with various teams to ensure the stability and efficiency of data flows.

Responsibilities:

• 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 (without owning GTM systems)
• Work with Security, Finance, and Legal stakeholders on access control, auditability, and compliance-relevant systems
• Support global teams across regions and time zones

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, including: schema evolution and data contracts, idempotent ingestion, replayability, and backfills, batching and late-arriving data, protecting downstream analytics and reporting consumers
• 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)
• Observability: logs, metrics, alerts, SLIs/SLOs
• 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, including: model selection trade-offs (latency, quality, cost), batching and token-efficiency strategies, build vs buy decisions for AI-powered workflows
• 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
• Comfort translating business requirements into robust, auditable technical systems
• Strong judgment balancing speed, cost, risk, and correctness
• Experience with orchestration tools such as Apache Airflow is a plus