Explore Platform Engineer, Agents jobs and discover a pivotal role at the forefront of modern software architecture. A Platform Engineer specializing in Agents focuses on designing, building, and maintaining the robust, scalable infrastructure that enables autonomous AI agents and complex software systems to operate reliably at massive scale. This profession sits at the intersection of software engineering, distributed systems, and infrastructure, with the core mission of providing excellent internal enablement. Professionals in these roles create the foundational platforms that product engineering teams use to develop and deploy agentic applications, ensuring performance, resilience, and developer productivity. Typical responsibilities for a Platform Engineer in the Agents domain involve owning critical system components and turning complex requirements into robust, scaled solutions. They architect and manage high-throughput distributed systems that handle billions of operations, ensuring low-latency responses crucial for interactive AI agents. A key focus is on performance optimization, where they implement tuning solutions to maximize throughput and minimize latency across vast data volumes. They are also responsible for building and iterating on core platform services such as universal indexing systems, workflow orchestration, and real-time data processing pipelines. Furthermore, these engineers often provide technical leadership, mentoring junior team members and fostering a culture of operational excellence and continuous learning within their organizations. The typical skill set and requirements for these jobs are rigorous. A strong academic background in Computer Science or a related field is common, with a deep emphasis on data structures, algorithms, and system design. Candidates usually possess several years of professional software development experience with a dedicated focus on backend and distributed systems engineering. Proficiency in languages like Python, Java, or Go is standard. Essential knowledge includes scalable system design patterns, resilience engineering, and extensive hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure). Practical experience with technologies such as Kafka for event streaming, ElasticSearch for search, PostgreSQL or Redis for data storage, and orchestration tools like Airflow or Temporal is highly valued. Crucially, these roles demand individuals who are autonomous problem-solvers, capable of analyzing complex challenges and proposing innovative solutions. Strong communication skills are necessary to collaborate with cross-functional teams and to effectively evangelize platform capabilities. For those passionate about building the foundational technology that powers the next generation of intelligent, autonomous systems, Platform Engineer, Agents jobs offer a challenging and highly impactful career path at the cutting edge of software development.