Senior Software Engineer, Cloud Applications
Temporal is hiring a Senior Software Engineer, Cloud Applications for a remote role open to applicants in United States. It pays $141k-$231k a year and Level rates it ; you can apply on Temporal.
Level's read on this job
- Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions Databricks among its tools and skills.
- Temporal has 78 other open roles on Level.
- Posted in the last few days.
AI in this role
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 work on a new initiative, 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.
Technology Stack
Primary Language: Go
Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage
Data Warehouse: Snowflake, Databricks, Clickhouse, Big Query
Data Processing: Kinesis, Firehose
Infrastructure: Kubernetes
Core Framework: Temporal (of course 😉)
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
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.
How we rate this
Senior Software Engineer, Cloud Applications at Temporal rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Pay
- This job starts at
- $141k
- Typical software engineer job
- $167k
This posting starts 16% below the typical software engineer job. See software engineer jobs
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