Software Engineer, Platform Reliability Engineering, AiDP

Job summary

The Software Engineer in Platform Reliability Engineering is responsible for designing, operating, and optimizing large-scale distributed systems that support generative AI, machine learning, and big data platforms. This role involves maintaining scalable multi-tenant systems, responding to production incidents, and collaborating with engineering teams to enhance system reliability and performance using technologies such as Kubernetes, Spark, and Flink.

Benefits

Qualifications

• 7+ years of experience in SRE, DevOps, or infrastructure engineering, with demonstrated expertise managing distributed systems at scale
• Proficiency in diagnosing and resolving complex production incidents and performance bottlenecks in large-scale distributed environments
• Familiarity with open source codebases; ability to read, understand, and explain complex system implementations
• Strong understanding of system architecture and proven ability to collaborate effectively across engineering teams
• Hands-on experience with big data technologies (Spark, Flink, Iceberg) and/or ML/AI platforms (Ray, MLflow, model serving infrastructure)
• Strong foundational knowledge of Linux, databases, and security principles
• Excellent written and verbal communication skills with ability to articulate technical concepts and strategies to both engineering teams and non-technical leadership
• Demonstrated track record of designing and operating systems at scale
• Proficiency in at least one systems programming language (Python, Go, Java, or similar)
• Strong expertise in distributed systems architecture, with deep knowledge of reliability, scalability, and containerization principles
• Hands-on experience with cloud platforms and data processing infrastructure (Kubernetes, Spark, Flink, Ray, Trino, or equivalent technologies)

Responsibilities

• Design, build, and maintain scalable multi-tenant systems that support diverse workloads and technologies at enterprise scale
• Own the full lifecycle of infrastructure and platform projects from architectural design and implementation through deployment, monitoring, and optimization
• Operate and optimize high-throughput, mission-critical services to ensure reliability, performance, and cost-efficiency
• Participate in on-call rotations to respond to production incidents; diagnose root causes, implement rapid fixes, and drive post-incident improvements
• Lead cross-functional collaboration with engineering teams to define requirements, validate designs, and deliver customer-impacting features and improvements
• Proactively identify operational bottlenecks and systemic issues; implement preventive measures to reduce incident frequency and improve system resilience
• Establish observability practices and continuously refine operational excellence standards across the platform

Skills

Degrees

Relocation