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.
