Senior Software Engineer
Job Description
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Summary
We're looking for a Senior Software Engineer to join our high-impact team focused on product scalability, customer experience, and revenue growth. Our team owns business-critical services including customer onboarding and off-boarding, billing and metering, cloud marketplace integrations, customer-facing usage and cost reporting, and the account data integrations that keep revenue systems in sync across the business.
In this role, you'll lead technical direction and build systems that directly impact Temporal's revenue engine and customer journey. You'll partner closely with engineers, product managers, finance, revenue operations, support, and sales to design resilient architectures, drive cross-functional execution, and raise the reliability and scalability bar for our billing, metering, and customer lifecycle platforms. If you enjoy owning ambiguous, high-leverage problems and building durable systems that scale 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 services that power customer acquisition, onboarding/offboarding, and revenue operations.
- Drive Architectural Excellence: Define and evolve system architecture for high-throughput, fault-tolerant metering and billing pipelines; make principled tradeoffs across correctness, latency, cost, and operability.
- Own Cross-Functional Execution: Partner with Finance, RevOps, and Sales to translate business needs into robust, scalable systems—anticipating edge cases, ensuring auditability, and aligning stakeholders on milestones and risks.
- Own the Account Lifecycle End to End: Build the flows that carry an account from acquisition through activation, expansion, billing, and offboarding—self-service and operator-initiated onboarding, plan and SKU changes, suspension, dunning, and clean offboarding.
- Keep Revenue Data Coherent Across the Business: Own the integrations and pipelines that reconcile control-plane state with CRM, support, analytics, and BI systems, so finance, support, and sales operate on the same numbers.
- Build Customer-Facing Usage and Cost Transparency: Design the APIs and metrics surfaces customers use to understand their spend—usage APIs, cost reporting, and billable-action metrics—with the accuracy and latency guarantees that make them trustworthy.
- Ensure Data Integrity, Reliability, and Compliance: Build and operate distributed data systems with strong correctness guarantees; implement monitoring, alerting, dashboards, and runbooks that keep revenue-impacting pipelines trustworthy.
- Raise the Engineering Bar: Set quality standards through code reviews, design reviews, and operational readiness; introduce patterns and tooling that improve maintainability and incident response.
- Mentor and Multiply Impact: Mentor engineers, 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, ClickHouse, Redshift, S3, Google Cloud Storage, Azure Blob Storage
- Data Processing: Kinesis, Firehose
- Infrastructure: Kubernetes
- Billing & Revenue: Metronome, Stripe
- Go-to-Market Integrations: Salesforce, Segment, Pylon, Zapier, cloud marketplace APIs
- Customer-Facing Standards: OpenMetrics, FOCUS
- Core Framework: Temporal
What You'll Bring
- Significant experience designing and delivering production-grade backend systems (ideally in cloud environments) with meaningful ownership over architecture and operational outcomes.
- Strong proficiency in at least one systems/backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions.
- Demonstrated experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling.
- Practical understanding of data pipelines and storage systems (e.g., Postgres, Redshift, Kafka/Kinesis, S3-like systems) and how to ensure correctness and traceability.
- Experience integrating and reconciling against third-party SaaS platforms (billing, CRM, support, analytics), including idempotency, drift detection, and recovery when an upstream system disagrees with your source of truth.
- Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery.
- Ability to work effectively across functions (Finance/RevOps/Sales/Support), translating ambiguous requirements into clear, executable technical plans.
- Strong written and verbal communication skills, including the ability to write design docs, align stakeholders, and explain tradeoffs.
- A "builder" 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
Compensation
- The estimated pay range for this role is $176,000 - $231,000.
- This role is also eligible to participate in Temporal’s equity plan.
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Temporal
View Company ProfileTemporal is an open-source, 'durable execution' platform that fundamentally changes how developers write backend code and distributed systems. Built by the engineers who originally designed massive infrastructure projects for AWS and Uber, Temporal solves a nightmare problem: what happens when a complex, multi-step process (like moving money between banks, provisioning cloud servers, or training an AI model) suddenly fails halfway through? Instead of developers having to write thousands of lines of manual retry logic and database checkpoints, Temporal automatically tracks the exact state of the code. If a server crashes, Temporal just picks up the workflow exactly where it left off, ensuring absolutely no data or progress is ever lost.
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