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Jobs(31,341)/Senior Software Engineer Role(1,513)/Unknown (67) - Careers - Senior Software Engineer, Product Platform
Unknown

Unknown - Careers - Senior Software Engineer, Product Platform

Unknown$218k - $218k3mo ago
In OfficeSeniorWWNonprofitSenior Software EngineerKubernetesKafkaTemporalJavaGoRuby

Requirements

• A minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or equivalent work experience. • Experience building, operating, or improving backend or infrastructure systems used by engineering teams. • Strong software engineering fundamentals and the ability to work across unfamiliar systems, codebases, and technical domains. • Experience in one or more platform areas such as deployment systems, CI/CD, Kubernetes, Kafka or event streaming, Temporal, databases, observability, service infrastructure, or developer tooling. • A track record of turning ambiguous technical problems into clear plans and working solutions. • Comfort partnering with engineers and technical leaders across teams to understand needs, explain tradeoffs, and drive decisions. • Interest in using AI as part of your engineering workflow and helping others learn how to apply it well. • Curiosity, judgment, and willingness to ask questions early so the team can move with clarity. • Technologies We Use and Teach • Kubernetes, service infrastructure, deployment orchestration, CI/CD systems, Kafka and event streaming, databases, observability tooling, internal developer platforms, Go, Java, Ruby, and AI-assisted engineering tools.

Responsibilities

• Design, build, and operate platform systems that help Block engineers ship software with more confidence and speed. • Work across areas such as deployment orchestration, CI/CD, Kubernetes, event streaming, databases, internal developer platforms, and reliability tooling. • Partner with engineering teams to understand their workflows, identify platform gaps, and deliver pragmatic solutions. • Help unify and modernize existing platforms while creating new ones where the business needs a stronger foundation. • Use AI tools to accelerate development, improve system understanding, prototype ideas, and raise the quality of engineering output. • Lead technical projects from problem framing through implementation, rollout, and operational ownership. • Make thoughtful tradeoffs between speed, reliability, maintainability, and long-term platform direction. • Contribute to an engineering culture that values curiosity, direct communication, early ownership, and learning through shipping.

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