How much experience is required?

At least 8 years of relevant experience for this Staff/Senior Software Engineer - Data Observability role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Azure, CloudFormation, Datadog, Docker, GCP.

What seniority level is this role?

DataHub targets staff-level candidates for this position.

Staff/Senior Software Engineer - Data Observability at DataHub

Joblaze summary

In this role, the Staff/Senior Software Engineer will focus on enhancing the reliability and scalability of DataHub's cloud and enterprise deployment solutions. Key skills include expertise in cloud platforms, infrastructure automation, and containerization technologies, alongside strong programming abilities. This position is ideal for seasoned professionals with significant experience in Site Reliability Engineering and technical leadership. DataHub is positioned for growth, having established a solid customer base and a strong open-source community.

Joblaze insights

Listed today — first seen on Joblaze October 11, 2026. Last confirmed on DataHub's careers page October 11, 2026.
Kubernetes appears in 66.3% of 83 comparable staff devops/sre roles in United States; Java appears in 4.8% of 83 comparable staff devops/sre roles in United States.

Quick facts

Is the Staff/Senior Software Engineer - Data Observability role remote?: Yes — DataHub lists this as a fully remote position.
How much experience is required?: At least 8 years of relevant experience for this Staff/Senior Software Engineer - Data Observability role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, CloudFormation, Datadog, Docker, GCP.
What seniority level is this role?: DataHub targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff/Senior Software Engineer - Data Observability role at DataHub.

From the original posting

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.

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.

Key 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

Required Qualifications

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

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
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

What You'll Build

A robust management control plane for enterprise-grade deployments
Automated deployment pipelines supporting multiple cloud providers and customer environments
Comprehensive monitoring and alerting systems with customer-facing dashboards
Self-service tools for customers to manage their DataHub installations
Disaster recovery and backup solutions for enterprise deployments
Performance optimization and scaling solutions for high-volume data workloads

Benefits and Perks

Standard company text repeated across DataHub's postings is omitted here.