Full-Time
Site Reliability Engineering Tech Lead
Acryl Data
51-200 employees
Provides metadata platform for data observability
No salary listed
Palo Alto, CA, USA
Remote
 DevOps & Infrastructure (1) |
|---|
- 8+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles
- 3+ years of technical leadership experience managing engineering teams
- Strong expertise with cloud platforms (AWS, GCP, Azure) and infrastructure automation tools
- Proficiency in containerization technologies (Docker, Kubernetes) and orchestration
- Experience with infrastructure as code tools (Terraform, CloudFormation, Pulumi)
- Strong programming skills in Python, Java, or similar languages
- Deep understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)
- Experience with CI/CD pipelines and deployment automation
- Strong knowledge of networking, security, and database operations in cloud environments
- Design and implement robust, scalable infrastructure solutions for DataHub Cloud and enterprise deployments
- Lead the technical vision for multi-cloud deployment strategies and distributed system integrations
- Architect monitoring, observability, and alerting systems across diverse environments
- Drive best practices for infrastructure as code, configuration management, and deployment automation
- Partner with product and engineering teams to influence the development of advanced deployment capabilities
- Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments
- Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments
- Partner with engineering teams to help develop self-healing and automated remediation capabilities
- Establish and maintain SLAs/SLOs for both cloud and enterprise offerings
- Lead incident response and post-mortem processes to drive continuous improvement
- Implement chaos engineering practices to proactively identify system weaknesses
- Optimize system performance, capacity planning, and cost efficiency
- Mentor and guide a team of SRE engineers and collaborate with platform engineering teams
- Work closely with product, engineering, and customer success teams to ensure reliable product delivery
- Improve on-call practices, runbooks, and knowledge sharing processes
- Drive cross-functional initiatives to improve overall system reliability
- Experience building and operating multi-tenant SaaS platforms
- Background in developing customer-facing deployment and management tools
- Knowledge of data infrastructure and metadata management systems
- Experience with service mesh technologies and microservices architectures
- Previous experience in a customer-facing technical role or working with enterprise clients
- Experience with data governance or data catalog platforms
Acryl Data offers Acryl Cloud, a metadata platform for data management that combines a data catalog with data observability. It helps data producers and consumers organize, understand, and derive fast value from data using Shift Left practices that embed testing early in development. The platform continuously detects data quality incidents in real time, automates anomaly detection, and provides time-based data lineage to trace root causes, with both push and pull metadata ingestion. Pricing is subscription or usage-based, serving teams from technical to non-technical to monitor the health of datasets and pipelines and accelerate issue resolution.
Company Size
51-200
Company Stage
Series A
Total Funding
$21M
Headquarters
Santa Clara, California
Founded
2021
Simplify's Take
What believers are saying
- Raised $35M Series B from Bessemer to expand AI data management.
- Launched Acryl Observe for automated anomaly detection yesterday.
- 50+ integrations reduce switching costs in modern data stacks.
What critics are saying
- Collibra captures Fortune 500 share with AI governance in 12-24 months.
- OpenMetadata free tier slashes Acryl ARR by 30% in 3-9 months.
- EU AI Act v2 mandates immutable lineage, causing churn in 18-24 months.
What makes Acryl Data unique
- Acryl Cloud combines metadata cataloging with real-time data observability.
- Built on LinkedIn's battle-tested DataHub and Apache Gobblin.
- Streaming-first architecture enables real-time metadata updates.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Company Equity
Family Planning Benefits
Fertility Treatment Support
Remote Work Options
Home Office Stipend
Phone/Internet Stipend
Company News
DataHub, by Acryl Data, has secured $35 million in Series B funding led by Bessemer Venture Partners. This funding aims to enhance their open source metadata platform, enabling AI to safely manage and utilize data.
Vercel has announced AI Accelerator, a program for AI builders and early stage startups, along with AI Playground, an environment in which developers can experiment with AI technologies.
Yesterday, Acryl Data announced the launch of Acryl Observe, a data observability module for its flagship Acryl Cloud offering.
Acryl Data unveils Data Observability capabilities, adds funding.
With the explosion of different kinds of data, companies are struggling to realize meaningful value from their stored data. Data teams are overworked, meanwhile — forced to cater to the needs of disparate departments within an organization while trying...