
Senior Software Engineer, Cloud Applications
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in United States.
• Become a part of the team developing systems that enhance the customer experience of Temporal Cloud at scale.
• Take ownership of services that manage Namespaces, Audit Logs, and Export functionalities.
• Spearhead the complete technical design and implementation for ensuring namespace scalability, reliability, and customer data offerings.
• Collaborate with analytics and product engineers to establish robust event schemas and link instrumentation to customer insights.
• Define and refine the architecture of high-throughput data pipelines.
• Balance factors such as data freshness, query costs, tenant isolation, and fault tolerance.
• Set schema contracts, implement anomaly detection, and create alerts for unnoticed failures.
• Establish quality benchmarks through thorough code and design reviews.
• Enhance maintainability, observability, and incident response through best practices and tools.
• Mentor fellow engineers, facilitate task completion, and promote ownership and learning.
• Optimize customer workflows through automation, tooling, and platform enhancements.
• Work alongside engineers, product managers, and solutions architects to design robust architectures and ensure effective cross-functional execution.
• Extensive experience in designing and delivering production-quality backend systems within cloud environments.
• Direct accountability for architecture and operational results.
• High proficiency in at least one systems or backend programming language, with a preference for Go.
• Experience navigating large codebases and influencing technical decisions.
• Practical experience in building and maintaining distributed systems, focusing on concurrency, reliability, scalability, consistency, and failure management.
• Familiarity with data pipelines and storage systems, including Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, and ClickHouse.
• Proven track record of ensuring data accuracy and traceability at a large scale.
• Experience in observability, incident management, performance optimization, on-call preparedness, and continuous delivery.
• Capability to convert vague requirements into actionable technical strategies.
• Excellent written and verbal communication skills.
• Experience in drafting design documents and elucidating complex systems.
• A builder's mentality aimed at simplifying workflows and enhancing tools.
• Equity offered.
• High-impact ownership over systems directly linked to revenue, customer lifecycle, and platform scalability.
• A collaborative engineering culture that prioritizes quality, pragmatism, and measurable outcomes.
• Access to exceptional technical colleagues and a feedback-rich environment.
• Lean processes with autonomy, free from unnecessary bureaucracy.
• A strong focus on reliability and operational excellence while maintaining rapid iteration.
• Opportunities for mentorship and a thoughtful design culture.
• AI interview recording/transcription available, with the option to decline without affecting candidacy.
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