The job, in the employer's words
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 DevOps/ Site Reliability Engineering (SRE) Engineer to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll work on 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.
Key Responsibilities
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 and Operations:
- Establish and maintain SLAs/SLOs for both cloud and enterprise offerings.
- Lead incident response and post-mortem processes to drive continuous improvement.
- Optimise system performance, capacity planning, and cost efficiency.
- 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.
Requirements:
- 5+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles.
- 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).
- Strong programming skills in Python, Java, or similar languages.
- Good understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc. ).
- Experience with CI/CD pipelines and deployment automation.
Preferred Qualifications:
- 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.
Why Join Us
DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
- Tackle high-impact challenges at the heart of enterprise AI infrastructure
- Ship production systems that power real-world use cases at global scale
- Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
- Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!
Benefits and Perks
We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
Competitive compensation
We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
Equity for everyone
Every team member receives an ownership stake in the company. When we grow, you grow with us.
Remote Work
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
Location flexibility
Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
Comprehensive health coverage
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
Flexible savings accounts
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
Support for every path to parenthood
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
Time off that works for you
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
Why Join Us
DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
- Tackle high-impact challenges at the heart of enterprise AI infrastructure
- Ship production systems that power real-world use cases at global scale
- Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
- Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!
Benefits mentioned
- DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
- We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
- We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
- DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
Requirements mentioned
- 5+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles.
- 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).
- Strong programming skills in Python, Java, or similar languages.
- Good understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc. ).
- Experience with CI/CD pipelines and deployment automation.
- 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.
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