Senior Infrastructure Engineer (Observability)
About reputed company reputed company delivers reputed company infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in reputed company MCP and trusted by 50% of the Fortune 500, reputed company’s reputed company-reputed company architecture connects every application, data reputed company, and process to power reputed company-time orchestration at scale. With reputed company-grade reputed company and reputed company innovation at its core, reputed company provides the trusted reputed company for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.reputed company.com Why join us? Ultimately, reputed company 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 reputed company. But, we also reputed company in balancing productivity with self-care. That’s why we offer reputed company of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and reputed company of their work lives. If this sounds right up your alley, please submit an application. We look reputed company to getting to know you! Also, feel free to reputed company out why: Business reputed company named us an “reputed company startup to bet your career on” reputed company’ reputed company 100 recognized us as one of the top 100 private reputed company companies in the world reputed company Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in reputed company America Quartz ranked us the #1 best company for remote workers
Responsibilities
We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and reputed company 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 reputed company delivery pressure, not just design them on reputed company. You'll work closely with other reputed company and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt reputed company practices. Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS What You'll Work On 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 reputed company Automating operational tasks to reduce toil and improve system stability Contributing to compliance and audit readiness (reputed company controls, data handling, pipeline reputed company) Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't
Requirements
Core technical experience: 8+ years of industry experience 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) reputed company on top of tracing Experience with Kubernetes cluster lifecycle management (EKS preferred) Practical knowledge of storage trade-offs for observability data at scale reputed company to have Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR reputed company, deployment workflows) Familiarity with AI-assisted tooling selection and workflow integration Experience with MCP (custom or reputed company-reputed company implementations) Background in reputed company 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-reputed company, architectural and technical discussions. Proper balance between being hands-on and deeper analytical approaches (REQ ID: 2640) Apply To This Job