Job Opportunities API

We are the  Intelligent Internet Platform.  We connect  People, Places  and  Things  anywhere,  managing Internet Performance  better than anyone else, while providing  One Global Experience,  giving  Visibility, Control  and  Security  through  expereoOne. Expereo believes in the power of Internet connectivity. As the world's largest provider of managed internet, SD-WAN/SASE, and Cloud connectivity solutions, we power enterprises and government sites worldwide, helping to enhance every business' productivity with flexible and optimal Internet performance. As a trusted partner of Fortune 500 enterprises and carriers, our continued aim and success in helping both our customers and partners depends solely on the talented individuals that make Expereo a dynamic, effective, multicultural, and equitable environment.   About the role We are looking for a Test Automation Engineer to join our Observability & Monitoring software development team. The team builds and operates internal, custom monitoring and observability platforms that provide deep visibility into our services, enabling proactive detection, faster incident resolution, and improved reliability across the company. As an Automation Engineer, you will take an engineering-first approach to quality , designing and building automated testing solutions, frameworks, and tooling to ensure the reliability of systems handling large volumes of metrics, logs, alerts, dashboards, and data pipelines . A key challenge in this role is working with high‑volume telemetry data , where quality is not only about correctness but also about signal accuracy — reducing false positives, detecting missing data, and ensuring that the system reflects reality as closely as possible. What you’ll do  Define team's testing strategy Design and implement automated test frameworks and tooling for backend systems and APIs Develop end-to-end and integration test suites for observability platforms Validate the correctness, consistency, and completeness of metrics, logs, and alerting systems Analyze system behavior to detect false positives, false negatives, and data inconsistencies Test dashboards and visualizations built with Grafana and Kibana Test data flows across time-series and relational databases Integrate test suites into CI/CD pipelines and enforce automated quality gates Work closely with developers to improve system testability and reliability Identify coverage gaps and build scalable automation solutions Participate in incident analysis and design tests to prevent regressions Ensure changes are covered by appropriate regression tests to maintain system stability Our tech stack (what you’ll work with) Python (services and test automation) Elastic stack (logs, events, search) Kibana dashboards and visualizations Grafana dashboards and alerting InfluxDB (time-series data) PostgreSQL (relational data) Kubernetes (container orchestration) AWS services (cloud infrastructure) APIs and backend services supporting a custom, in‑house monitoring platform CI/CD pipelines with automated testing and quality gates Requirements Required Strong experience in software testing and test automation Solid programming skills in Python Experience building and maintaining test frameworks and automation tooling Experience testing APIs, backend systems, and distributed services Strong ability to work with data-intensive systems (metrics, logs, events) Ability to analyze system behavior and detect anomalies, inconsistencies, and signal quality issues Understanding of CI/CD pipelines and automated quality gates Strong analytical and problem-solving skills Nice to have Experience with observability or monitoring platforms Familiarity with Elastic, Kibana, Grafana, InfluxDB, PostgreSQL