griddable.io · 11 hours ago
Software Engineer (Tooling - Principal Level)
San Francisco, CA
Full-time
Onsite
Lead/Staff
10+ years expGriddable.io is seeking a Software Engineer in the SWEET Team at MuleSoft, focused on architecting and scaling infrastructure tools for distributed systems. The role involves writing production-grade code, enhancing system reliability, and developing observability and automation solutions.
AnalyticsBig DataCloud Data ServicesData IntegrationInformation TechnologySaaSSoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design and develop systems, libraries, and tools that strengthen the resiliency and reliability of distributed services running on the MuleSoft Anypoint Platform
Develop and extend monitoring, logging, and alerting capabilities using industry-standard observability platforms (e.g., metrics, tracing, and log aggregation tools) to ensure issues are detected and diagnosed before they impact customers
Write production-grade code in Python, Go, or similar languages to automate operational tasks, scale deployment pipelines, and implement self-healing systems
Participate in on-call rotations, drive root cause analysis, and deliver software-based solutions that prevent recurrence and reduce meantime to recovery (MTTR)
Build internal platforms, shared APIs, and systems that enhance developer velocity while improving overall system resilience and operability
Optimize and evolve our CI/CD pipelines using Jenkins, Spinnaker, and infrastructure-as-code tools such as Terraform and Kubernetes to enable safe and frequent delivery
Develop and maintain automated solutions to meet FedRAMP, Protected B, and other regulatory requirements—integrating security and compliance directly into deployment workflows
Work closely with product engineers, platform teams, and security stakeholders to influence architectural decisions and bake reliability into all layers of the stack
Create and maintain high-quality documentation for systems, processes, and playbooks to promote operational excellence and team scalability
Qualification
Required
10+ years of experience in Software Engineering, with a particular focus on developing production-quality, maintainable, and testable code for infrastructure and platform automation
Proven proficiency in coding with Java, Python, Go, Bash
Hands-on experience with infrastructure as code, CI/CD pipelines, and deployment automation using tools like Terraform, Jenkins, and Spinnaker
Proven experience architecting, developing, and operating systems in cloud-native environments (AWS) and managing containerized workloads with Kubernetes
Strong understanding of observability engineering, including instrumentation, metrics, logging, and distributed tracing—experience with OpenTelemetry, Grafana, Splunk, Sumo Logic, or similar platforms
Solid knowledge of distributed systems, network protocols (TCP/IP, DNS, HTTP, TLS), and API design standards (REST, RAML, OAS)
Demonstrated ability to diagnose complex system issues, design for fault tolerance and high availability, and continuously improve reliability through software
Familiarity with compliance-bound environments, including FedRAMP, Protected B, or similar, and experience incorporating security and compliance into engineering workflows
A passion for engineering reliability through software—you drive automation, eliminate toil, and foster a culture of operational excellence
A related technical degree required
This candidate must be a U.S. citizen (U.S. born or naturalized) operating on U.S. Soil who does not hold dual citizenship with the ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan
You agree to complete a Minimum Background Investigation (MBI) for a Moderate Public Trust position with the U.S. federal government and gain other clearances as deemed appropriate for the role
Preferred
Experience with chaos engineering, fault injection, or reliability gamedays to proactively validate system resilience and recovery readiness
Background in platform-as-a-service (PaaS), internal developer tooling, or building self-service infrastructure that accelerates engineering productivity
Prior experience operating in hybrid or multi-cloud environments, with a focus on portability, automation, and infrastructure standardization
Company
griddable.io
Griddable.io is a San Jose, CA based SaaS startup that closed Series A funding in 2017 from August Capital, Artiman Ventures, and Carsten Thoma, founding CEO of Hybris (acquired by SAP).
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$8M2019-01-28Acquired
2018-02-28Series A· $8M
Leadership Team
Burton Hipp
VP of Engineering/Founder
Company data provided by crunchbase