Senior Software Engineer, Cloud Applications
temporaltechnologies • United States - Remote Opportunity
No Relocation
Posted: May 29, 2026
Job Description
Summary
We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — Namespaces, Audit Logs, and Export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on.
In this role, you'll set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you.
What You’ll Do
- Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them.
- Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them.
- Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance.
- Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers.
- Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team.
- Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence.
- Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load.
What You’ll Bring
- Deep experience designing and delivering production-grade backend systems in cloud environments, with direct ownership over architecture and operational outcomes — including what happens when things go wrong.
- Strong proficiency in at least one systems or backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions with confidence.
- Hands-on experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling in production.
- Solid experience with data pipelines and storage systems (Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, Clickhouse) and a track record of ensuring correctness and traceability at scale.
- Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery.
- Ability to work effectively across functions — translating ambiguous requirements from product managers and solutions architects into clear, executable technical plans.
- Strong written and verbal communication: you write crisp design docs, align stakeholders on tradeoffs, and can explain a complex system to someone who didn't build it.
- A builder's mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them.
What You Can Expect
- High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability
- Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes
- Exceptional technical colleagues and a feedback-rich environment
- Lean processes and autonomy without unnecessary bureaucracy
- Strong emphasis on reliability and operational excellence—balanced with rapid iteration
- A team that values mentorship, thoughtful design, and steady improvements that compound over time
Technology Stack
- Primary Language: Go
- Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage, Clickhouse
- Data Processing: Kinesis, Firehose
- Infrastructure: Kubernetes
- Core Framework: Temporal (of course 😉)
Compensation
- The estimated pay range for this role is $176,000 – $237,000 depending on experience and location.
- This role is also eligible to participate in Temporal’s equity plan.
Additional Content
Summary
We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — Namespaces, Audit Logs, and Export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on.
In this role, you'll set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you.
What You’ll Do
- Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them.
- Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them.
- Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance.
- Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers.
- Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team.
- Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence.
- Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load.
What You’ll Bring
- Deep experience designing and delivering production-grade backend systems in cloud environments, with direct ownership over architecture and operational outcomes — including what happens when things go wrong.
- Strong proficiency in at least one systems or backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions with confidence.
- Hands-on experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling in production.
- Solid experience with data pipelines and storage systems (Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, Clickhouse) and a track record of ensuring correctness and traceability at scale.
- Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery.
- Ability to work effectively across functions — translating ambiguous requirements from product managers and solutions architects into clear, executable technical plans.
- Strong written and verbal communication: you write crisp design docs, align stakeholders on tradeoffs, and can explain a complex system to someone who didn't build it.
- A builder's mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them.
What You Can Expect
- High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability
- Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes
- Exceptional technical colleagues and a feedback-rich environment
- Lean processes and autonomy without unnecessary bureaucracy
- Strong emphasis on reliability and operational excellence—balanced with rapid iteration
- A team that values mentorship, thoughtful design, and steady improvements that compound over time
Technology Stack
- Primary Language: Go
- Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage, Clickhouse
- Data Processing: Kinesis, Firehose
- Infrastructure: Kubernetes
- Core Framework: Temporal (of course 😉)
Compensation
- The estimated pay range for this role is $176,000 – $237,000 depending on experience and location.
- This role is also eligible to participate in Temporal’s equity plan.