Senior Software Engineer

About this role

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Skills you'll use

What you'll do

• Design, implement, and operate Python-based microservices and high-throughput ETL pipelines that meet enterprise SLAs, RPO/RTO targets, and data quality standards
• Embed observability by default through structured logging, metrics, and distributed tracing; define SLOs, error budgets, and incident response runbooks for production services
• Conduct design and code reviews, performance and cost optimizations, and challenge fellow engineers to raise the bar on engineering excellence and operational maturity
• Design and evolve reusable connector frameworks for inbound and outbound integrations with Ad tech platforms like Facebook Ads, Google Ads, and other enterprise systems, emphasizing modularity, versioning, and backward compatibility
• Collaborate with Product, SecOps, and Platform teams to deliver scalable, cost-efficient solutions across Kubernetes, message buses, and workflow orchestrators
• Required Qualifications
• 5+ years in backend/data engineering building Python services and ETL pipelines for enterprise environments with strict uptime, compliance, and performance requirements
• Expert Python skills, including async I/O, concurrency, and service frameworks, plus strong testing strategies, and interface contracts for maintainability at scale
• Proven microservices experience with containers and orchestration (Docker, Kubernetes) and event-driven patterns using message brokers or streaming platforms
• Robust SQL skills integrating with analytics warehouses such as Snowflake, including cost/performance tuning patterns

Who can apply

• 5+ years in backend/data engineering building Python services and ETL pipelines for enterprise environments with strict uptime, compliance, and performance requirements
• Expert Python skills, including async I/O, concurrency, and service frameworks, plus strong testing strategies, and interface contracts for maintainability at scale
• Proven microservices experience with containers and orchestration (Docker, Kubernetes) and event-driven patterns using message brokers or streaming platforms
• Robust SQL skills integrating with analytics warehouses such as Snowflake, including cost/performance tuning patterns
• Production-grade integrations with APIs, including rate-limit handling, retries, backoff policies, and change-data capture or incremental sync designs
• Deep observability practice using metrics, logs, and traces and experience implementing Open Telemetry instrumentation and alerting workflows

About Zeta Global

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