temporal

Software Engineer II, Cloud Applications

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Posted within 60 days ·

  • remote
  • FullTime
  • Engineering
  • United States (Remote)
Work arrangement
remote
Employment
FullTime
Stated compensation
USD 118,400–194,250 1 YEAR
Stated sponsorship
Not stated
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Remote policy
remote
“Provider workplace type: remote”
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Geographic scope
US
“Provider location: United States (Remote)”
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Minimum experience (years)
3
“3+ years of work experience”
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Employment type
FullTime
Compensation
USD 118,400–194,250 1 YEAR
6 fields not stated in this posting
Employer sponsorship
Not specified
Degree requirement
Not specified
Security clearance
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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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Role Summary We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including 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.
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We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise. What You'll Do Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates. Build and improve services that support namespace provisioning, configuration, scalability, and reliability. Develop data pipelines that process high-volume usage and operational data across multiple tenants. Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity. Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation. Participate in code reviews, design discussions, incident response, and production debugging. Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely. Improve developer and customer experience through automation, better tooling, and incremental product improvements. What You'll Bring Experience building and operating production backend systems in a cloud environment. Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase. Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging. Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling. Experience with databases, data pipelines, messaging systems, or object storage. The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback. An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting. Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly. A commitment to correctness, maintainability, and leaving systems better than you found them. Nice to Have 3+ years of work experience Experience with Go. Experience with PostgreSQL, Redshift, Kinesis, Firehose Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems. Familiarity with Kubernetes and cloud infrastructure. Experience supporting on-call rotations, investigating incidents, or improving production observability. Familiarity with Temporal concepts—or a strong interest in learning the platform. 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 You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Original formatting and links

Role Summary

We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including 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.

We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise.

What You'll Do

  • Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates.

  • Build and improve services that support namespace provisioning, configuration, scalability, and reliability.

  • Develop data pipelines that process high-volume usage and operational data across multiple tenants.

  • Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity.

  • Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation.

  • Participate in code reviews, design discussions, incident response, and production debugging.

  • Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely.

  • Improve developer and customer experience through automation, better tooling, and incremental product improvements.

What You'll Bring

  • Experience building and operating production backend systems in a cloud environment.

  • Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase.

  • Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging.

  • Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling.

  • Experience with databases, data pipelines, messaging systems, or object storage.

  • The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback.

  • An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting.

  • Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly.

  • A commitment to correctness, maintainability, and leaving systems better than you found them.

Nice to Have

  • 3+ years of work experience

  • Experience with Go.

  • Experience with PostgreSQL, Redshift, Kinesis, Firehose

  • Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems.

  • Familiarity with Kubernetes and cloud infrastructure.

  • Experience supporting on-call rotations, investigating incidents, or improving production observability.

  • Familiarity with Temporal concepts—or a strong interest in learning the platform.

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

You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems.

Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.

Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

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