About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration Workato helps businesses globally streamline operations by connecting data processes applications and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time driving efficiency and agility.

Trusted by a community of 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Learn how Workato helps businesses of all sizes achieve more at .

Why join us

Ultimately Workato believes in fostering a flexible trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley please submit an application. We look forward to getting to know you!

Also feel free to check out why:

• Business Insider named us an enterprise startup to bet your career on

• Forbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area and 96th in North America

• Quartz ranked us the #1 best company for remote workers

Responsibilities

Were looking for a hands-on Platform/Observability Engineer to join our infrastructure team. Youll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter Kubernetes-based environment. This is a production-first role: youll be expected to ship iterate and improve systems under real delivery pressure not just design them on paper.
Youll work closely with other infra and product engineering teams to improve observability coverage reduce operational toil and help the broader organization adopt better practices.
Tech Stack Highlights:OpenTelemetry Kafka Vector VictoriaMetrics EKS Kubernetes Logging pipelines Distributed tracing SPM AWS

• Designing deploying and maintaining production observability stacks (logs metrics traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades node exporters agents and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls data handling pipeline integrity)

• Evaluating and adopting new observability tooling - knowing whats worth pursuing and what isnt

Requirements

Core technical experience:

• 8 years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity withOpenTelemetry Kafka Vector and VictoriaMetrics (vmagent alerting rules)

• Experience with logging pipelines: design deployment and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have

• Experience using AI to automate infrastructure or observability tasks (e.g. automated RCA PR generation deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture troubleshooting and incident resolution skills in Production environment writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators).

• Basic knowledge of one or more high-level programming languages such as Python Golang Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies architectures.

• Good Spoken English to participate in product-related architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)