Senior Integration Platform Engineer

Role Description

We are looking for a Senior Integration Platform Engineer to own and evolve the core integration and data backbone that underpins GTM Analytics, Enterprise-grade AI tooling, and Business-critical data flows across Semrush. This is a global, high-trust engineering role with real ownership. You will design and operate secure, scalable cloud services and data integrations used across regions and teams, including regulated, SOX-relevant data flows (e.g. global compensation feeds). You will also play a key role in supporting post-acquisition integration work with Adobe.

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.

Collaboration

• 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.

Qualifications

• 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.
• 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).
• Experience with IAM, least-privilege access, and secrets management.
• Experience with orchestration tools such as Apache Airflow is a plus.

AI-native Engineering

• 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.
• Experience assessing LLM cost economics, including model selection trade-offs (latency, quality, cost).
• Proven judgment shipping LLM-powered functionality in production-safe, cost-aware systems.

Business Context & Judgment

• Demonstrated ability to reason about business impact, not just technical correctness.
• Experience working with or adjacent to Sales, RevOps, or Finance teams.
• Comfort translating business requirements into robust, auditable technical systems.
• Strong judgment balancing speed, cost, risk, and correctness.

Success Metrics

• Integration and analytics-enabling systems are stable, secure, and auditable.
• Enterprise AI tooling is production-ready and cost-controlled.
• Analytics and partner teams move faster without platform fragility.
• No single-point-of-failure dependencies exist.
• Adobe integration progresses without disruption to core analytics or business reporting.

Compensation

The annual Total Cash Compensation salary range for this position is $128,126 to $189,626. Actual pay within this range depends on several factors, including work location and individual qualifications.

Benefits

• Strong product-market fit recognized by RepVue.
• High earning potential with clear quota attainment visibility.
• Health insurance.
• Travel insurance.
• Employee Assistance Program.
• Employee Resource Groups.
• Paid parental leave.
• Relief Fund.