Senior Cloud Platform Engineer

Responsibilities

As a Senior Cloud Platform Engineer at Nomura, you will take a leading role in end-to-end solution delivery for strategic platforms that deliver value for our business and engineering teams. You will be a subject matter expert in our Cloud platform and contribute to its roadmaps and features, drive operational excellence and make the platforms easier for the broader engineering community to consume. Your work will center around AWS, Kubernetes (EKS), and Terraform and will contribute to the evolution of our cloud control plane and foundational infrastructure and platform capabilities as the organization migrates into a new cloud environment. You will develop and support User Experiences for our platforms, contribute to Cloud-related frameworks and practices, and collaborate with other Platform Engineering teams to evolve the platforms and foundational engineering patterns and achieve enterprise-level synergies. You will achieve a high degree of self-service and ease-of-use for application development teams while maintaining robust enterprise governance and control frameworks.

Requirements

• Bachelor’s degree in computer science or similar discipline, or equivalent work experience.
• 4+ years of professional experience in Cloud, DevOps, SRE, Platform, or similar roles.

Skills

• Expertise with Cloud Infrastructure in AWS (core services, networking, IAM, etc.)
• Kubernetes and related technologies (EKS, Docker, Helm, Flux)
• Infrastructure as Code (IaC), particularly using Terraform
• CI/CD, particularly using Gitlab
• Observability, particularly using LTGM (Grafana, Loki, Mimir/Prometheus, Tempo)
• Proficiency in Python and/or Go for building pipelines and microservices
• Working knowledge of databases, APIs, and modern authentication/authorization mechanisms
• Familiarity with Linux, shell scripting, load balancing, and networking/OS concepts
• Ability to design solutions considering user experience, automation, security, performance, resilience, cost, scale, and reusability
• Understanding of design patterns, testing methodologies, and the overall SDLC
• Comfort in proposing designs, gathering feedback, building reusable solutions, and documenting them effectively
• Experience using AI from both a personal productivity standpoint as well as a platform-productivity standpoint

Pay

The pay range for this position at commencement of employment is expected to be between $130,000 - $160,000 per year. Base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience.

Benefits

• Sign-on bonus
• Restricted stock units
• Discretionary awards
• Eligibility for commissions for applicable sales roles
• Full range of medical, financial, and/or other benefits (including 401(k) eligibility)
• Various paid time off benefits (such as vacation, sick time, and parental leave)

Schedule

This is a hybrid role based in Philadelphia, with expected office presence 3 days a week.