{"id":2978764,"url":"https://alion.io/job/siemens-software-qa-engineer-performance-testing","title":"Software QA Engineer - Performance Testing","company":{"id":131,"name":"Siemens","domain":"siemens.com","url":"https://alion.io/company/siemens","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":14,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-24T06:02:35Z"}},"role":"QA","role_family":"QA","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Apache HTTP Server","optional":false},{"name":"CI/CD","optional":false},{"name":"JavaScript","optional":false},{"name":"JMeter","optional":false},{"name":"k6","optional":false},{"name":"Locust","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"AppDynamics","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Dynatrace","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"GitLab","optional":true},{"name":"Grafana","optional":true},{"name":"GraphQL","optional":true},{"name":"InfluxDB","optional":true},{"name":"Jira","optional":true},{"name":"Kibana","optional":true},{"name":"Kubernetes","optional":true},{"name":"Loki","optional":true},{"name":"Telegraf","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-10-21T05:59:28Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-24T06:43:13Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are Siemens\nSiemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.\nWe are looking for a Software QA Engineer - Performance Testing to design, automate, and execute performance testing strategies for cloud-based enterprise applications, APIs, platforms, and distributed services.\nIn this role, you will evaluate system performance, identify bottlenecks, analyze scalability and reliability, and establish performance baselines to support release readiness. Working closely with Software Development, Architecture, DevOps, and QA teams, you will help embed performance engineering into the software development lifecycle and explore AI-assisted performance analysis and anomaly detection.\n\nKey Responsibilities\nDesign performance test strategies: Plan and execute load, stress, scalability, endurance, spike, capacity, and benchmark tests using realistic workload models.\nDevelop performance automation: Build and maintain reusable performance test scripts, frameworks, and workload-generation solutions using tools such as JMeter, k6, Locust, or equivalent technologies.\nAnalyze and troubleshoot performance: Investigate latency, throughput, resource utilization, and system behavior to identify bottlenecks and perform root-cause analysis.\nEstablish performance baselines: Compare results across builds and releases, identify regressions, and provide data-driven recommendations for performance and release readiness.\nTest cloud-native and distributed systems: Evaluate APIs, microservices, databases, and enterprise applications across containerized and cloud-based environments.\nLeverage monitoring and observability: Use metrics, logs, traces, and dashboards to correlate performance results with system behavior and communicate actionable findings.\nIntegrate performance engineering into delivery: Embed automated performance checks into CI/CD pipelines and collaborate across engineering teams to improve performance standards, test efficiency, and continuous quality.\n\nQualifications\nBachelor’s degree in Computer Science, Software Engineering, or a related technical discipline.\n4+ years of relevant experience in performance testing or performance engineering, including workload design, execution, analysis, and reporting.\nHands-on experience with performance testing tools such as Apache JMeter, k6, Locust, RPT, or equivalent.\nProficiency in at least one programming or scripting language, such as Python, Java, JavaScript, Go, or Groovy, with the ability to develop and maintain test automation.\nExperience testing web applications, APIs, and distributed services, with knowledge of REST APIs, HTTP, databases/SQL, and relevant communication protocols.\nStrong understanding of performance metrics, workload modelling, statistical analysis, performance baselining, regression detection, and root-cause analysis.\nExperience with cloud-native or enterprise application architectures, CI/CD integration, and monitoring/observability tools, along with strong analytical and communication skills.\nPreferred Skills\nExperience performance-testing microservices, Kubernetes-based applications, containers, and large-scale distributed systems.\nFamiliarity with cloud platforms such as AWS, Azure, GCP, or OCI.\nExperience with observability and application performance monitoring tools such as Grafana, InfluxDB, Telegraf, Loki, Tempo, Kibana, Dynatrace, or AppDynamics.\nExperience with distributed load generation, performance dashboards, and automated performance regression testing.\nKnowledge of Git/GitLab, Jira, and integrating automated tests into CI/CD pipelines.\nExposure to desktop application performance testing, WebSockets, GraphQL, CLI-based testing, or other relevant protocols.\nExperience with AI/ML-assisted performance analytics, anomaly detection, or automated root-cause analysis.\nWhy Us\nAt Siemens Software, flexibility is how we work - hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!\nDiversity & Inclusion\nWe value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\nSiemens Software. 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