Senior Software Engineer - Data Observability

DataHub•Palo Alto, CA

8h•Remote

About The Position

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the Role We're seeking an experienced Site Reliability Engineering (SRE) Tech Lead to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll lead technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments.

Requirements

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

Nice To Haves

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

Responsibilities

Technical Leadership & Architecture 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
Enterprise Platform Development 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
Platform Reliability & Operations 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
Team Leadership & Collaboration 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