Senior Automation Systems Engineer

InfluenceProServices operates in the marketing domain and builds services, tools, and infrastructure that help teams scale execution and improve operational efficiency. We are seeking an experienced Senior Automation Systems Engineer to design and build automation platforms, internal tooling, and infrastructure that powers large-scale automated operations.

• Design and develop automation services, execution frameworks, and internal tooling
• Build systems that automate user-like workflows across web interfaces, APIs, and integrated services
• Architect solutions for high-volume parallel execution of automation flows
• Optimize automation pipelines for performance, reliability, and infrastructure efficiency
• Develop scalable solutions for large-scale automated data collection and processing
• Design and implement orchestration and execution infrastructure for distributed automation workloads
• Build and maintain platform components such as task distribution systems, workers, schedulers, and state management layers
• Implement monitoring, logging, and reporting to ensure observability and operational stability
• Collaborate with engineering, product, and infrastructure teams to deliver automation-driven solutions
• Contribute to system architecture decisions and engineering standards

• Strong software engineering experience building automation platforms, distributed systems, or internal engineering tooling
• Production experience with one primary programming language (Go, Java, Python, or TypeScript)
• Experience designing and operating high-concurrency or distributed execution systems
• Practical experience implementing parallel processing, workload scheduling, or resource optimization strategies
• Hands-on experience with web automation in real production environments (e.g., Playwright or similar tools)
• Experience designing systems that interact with unreliable or frequently changing external services
• Strong understanding of performance bottlenecks and scalability challenges
• Experience working with cloud infrastructure and containerized deployments
• Solid Linux skills and ability to troubleshoot system-level issues
• Experience building tools that improve engineering productivity or operational efficiency
• Proven track record of using AI agents or AI-assisted workflows
• Ability to design and deliver systems end-to-end: architecture, implementation, deployment, operations
• Strong ownership mindset and ability to work independently on complex engineering problems

• Paid vacation and sick leave
• Dynamic, multicultural engineering team focused on real product impact
• Flat structure with high ownership and no micromanagement
• Remote-first culture with flexible working hours