All active Full-Stack roles based in Yerevan.
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Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
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. That’s 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
We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll 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: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll 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 what's worth pursuing and what isn't
Solid hands-on production experience with observability systems
Strong plus - familiarity with OpenTelemetry, 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
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
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
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
Ready to apply?
Apply to Workato
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At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.
We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.
Why join JetBrains?
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
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At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers and businesses to grow, discover, and create.
IntelliJ IDEA revolutionized the Java development tool market back in 2001, becoming the first IDE to offer automated code refactoring. It continues to drive innovation in software development, making thousands of programmers more productive every day. In addition to Java, IntelliJ IDEA includes various development tools for other prominent languages such as Ruby, Groovy, Scala, Python, JavaScript, Objective-C, PHP, and Kotlin.
We’re currently seeking a full-stack QA Engineer to join a new, challenging project within the IntelliJ IDEA team – the IntelliJ LSP initiative. This role requires adaptability, multitasking, and a hands-on approach to maintain a high quality while supporting rapid product iteration.
As part of our team, you will:
We will be happy to have you on our team if you:
We'd be especially thrilled if you:
Why join JetBrains?
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
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