Software Development Engineer MultiCloud

Were looking for a motivated Software Engineer to join our team and help build and operate reliable secure and scalable cloud platforms and this role youll develop software and automation that support production systems Kubernetes platforms cloud infrastructure observability analytics and emerging AI/ML combine software engineering skills with reliability engineering principles to improve how our platforms are built deployed monitored and operated. Youll work alongside experienced engineers architects SREs and AI/ML teams to solve technical challenges and continuously improve our ideal candidate has a strong software engineering foundation enjoys solving problems through code and automation and is interested in cloud technologies Kubernetes reliability engineering analytics and AI.

Software Development: Design develop test and maintain software services APIs tools and automation using languages such as Python and u0026 Platform Engineering: Build and improve cloud-native services and platform capabilities across production and non-production : Deploy operate and troubleshoot applications and services running on Kubernetes. nDevelop automation that simplifies deployment and platform : Apply reliability engineering practices to improve system availability performance scalability and operational : Identify repetitive operational activities and develop software and automation to reduce manual effort and operational : Use logs metrics traces dashboards and alerts to understand system behavior troubleshoot issues and identify opportunities for : Analyze operational and application data to identify trends anomalies recurring issues and performance bottlenecks. Develop dashboards and reporting that provide actionable Infrastructure: Support infrastructure and platform capabilities for AI/ML training LLM inference and GPU-based workloads. Develop automation to simplify deployment and operation of these -Assisted Engineering: Explore and apply LLMs and AI technologies to improve software development troubleshooting analytics automation and operational u0026 Resilience: Participate in capacity planning performance testing scale testing and disaster recovery Improvement: Identify opportunities to improve platform reliability developer experience automation and operational : Create and maintain technical documentation operational procedures troubleshooting guides and : Work closely with software engineering platform SRE QA AI/ML security architecture and program management teams.

Software Engineering: Solid understanding of software engineering fundamentals and experience developing and maintaining production software services tools or : Proficiency in Python and/or Go (Golang) with the ability to write clean maintainable and testable : Hands-on experience with Kubernetes and containers including deploying and troubleshooting applications. Familiarity with Helm Kustomize or similar tools is : Experience with at least one major cloud platform such as AWS Google Cloud or as Code: Familiarity with Terraform Ansible or similar infrastructure automation Engineering: Understanding of reliability concepts such as monitoring alerting SLIs/SLOs incident management capacity planning and : Experience with or exposure to technologies such as Prometheus Grafana Splunk OpenTelemetry or similar observability : Ability to analyze system and application data to identify trends and troubleshoot issues. Familiarity with SQL Python-based data analysis dashboards or reporting tools is a Systems: Working knowledge of distributed system concepts including availability scalability networking fault tolerance and performance.

AI/ML: Familiarity with AI/ML concepts LLMs model inference or GPU workloads is a plus. Prior AI/ML infrastructure experience is beneficial but not Solving: Strong analytical and troubleshooting skills with an interest in solving problems through software and : Strong communication skills and the ability to work effectively within cross-functional engineering teams.