Responsibilities
- Architect and maintain scalable, reusable platform infrastructure and tools that support the entire application lifecycle, including data ingestion, workload orchestration, deployment, and monitoring for distributed systems and services
- Build standardized, production-ready deployment workflows and templates using tools like Airflow and orchestration frameworks to enable rapid development and consistent deployment patterns
- Implement robust CI/CD pipelines, Docker containerization, artifact registries, and configuration management to support reproducibility, scalability, and governance across platform services
- Optimize platform technologies, including distributed computing frameworks, caching layers, message queues, and real-time data processing systems
- Automate and streamline service deployment, scaling, versioning, and infrastructure provisioning workflows, ensuring consistency, reliability, and adherence to industry best practices.
- Ensure reliability, observability, and scalability of production workloads by implementing comprehensive monitoring, alerting, performance profiling, and continuous system evaluation
- Integrate infrastructure components such as Kubernetes orchestration, distributed computing frameworks (Ray, Spark), and cloud solutions (AWS/Azure/GCP) for robust production environments
- Drive infrastructure optimization for high-throughput use-cases, including efficient resource utilization (batching, caching, auto-scaling), deployment strategies, configuration management, and system updates at scale
- Partner with data engineering, product, infrastructure, and other stakeholder teams to align platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
- Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement
Qualifications
- 8+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads
- Expert-level proficiency in Python and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog)
- Experience implementing modern DevOps and platform engineering practices, including service lifecycle management, CI/CD, Docker, Kubernetes, artifact registries, and infrastructure-as-code tools (Terraform, Helm, CloudFormation)
- Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS)
- Proven experience with distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures
- Experience designing and maintaining real-time data pipelines, including integrations with feature stores, streaming platforms (Kafka, Kinesis), API gateways, and observability solutions
- Familiarity with SQL (postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of managing complex data queries, joins, aggregations, and transformations
- Solid understanding of platform monitoring and optimization, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently
Perks & Benefits
- Flexible working hours and hybrid work opportunities
- Life and accidental coverage
- Mental health support provided by Modern Health
- 100% paid parental leave
- Discretionary paid time off
- Focus on culture: Charitable giving match, plus in-person and virtual events
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What We Do
Clari's market-leading Revenue Platform helps go-to-market teams of every size and stripe take control of their entire sales process and revenue operation. With Clari’s Revenue Platform, all revenue-critical employees now have an enterprise system to run revenue. Forecasting, pipeline management, conversation intelligence, deal execution, coaching, and buyer collaboration (to name a few) are a maze of challenges made simple with Clari. Thousands of teams at leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision.
Why Work With Us
You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a nurturing and inclusive environment. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We’d love to have you!
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