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Summary MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding. As a Senior Observability Engineer, you wil contribute to definig and driving the strategy, architecture, and implementation of observability capabilities across MathWorks’ cloud platform and product engineering teams. This role is ideal for someone who brings deep expertise in cloud‑native observability systems, understands how modern distributed systems behave, and can lead cross-functional initiatives that improve reliability, performance, and end‑to‑end visibility for MathWorks' online products and services. MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence. Responsibilities Architect and evolve observability systems using cloud‑native tools such as Prometheus, Thanos, Alertmanager, OpenTelemetry Build scalable, multi‑tenant observability solutions for Kubernetes clusters running microservices at scale. Implement SLOs, SLIs, and error budgets—integrating observability into SRE practices. Improve signal quality and coverage by driving instrumentation standards across teams. Develop automation and tooling to enhance telemetry collection, alerting, and correlation. Support application teams in adopting observability patterns, instrumentation frameworks, and dashboards. Collaborate with incident management and SRE teams to improve root‑cause analysis and reduce MTTR. Minimum Qualifications A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or equivalent experience) is required. Additional Qualifications Deep expertise in cloud-native observability stacks (Prometheus ecosystem, OpenTelemetry, Grafana suite). Strong understanding of Kubernetes internals and common cloud‑native patterns (sidecars, operators, CRDs). Experience applying SRE principles: SLO/SLI design, chaos engineering, error budget management. Experience in designing self-service observability capabilities for platform users. Security‑aware approach to telemetry data handling. Knowledge of cloud providers (AWS, Azure, GCP).
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.