• Architect and Maintain Automated Suites: Design and evolve robust automation frameworks using Node.js and TypeScript to validate critical service layers. • Full-Stack Testing: Drive functional use-case coverage across UI (Playwright), Mobile (Appium), and API (GraphQL) interfaces. • Asynchronous System Validation: Lead testing efforts for real-time messaging interfaces, specifically MQTT and WebSockets, to ensure system-wide data integrity. • Pipeline Ownership: Monitor and optimize CI/CD pipelines (GitHub Actions/Jenkins), utilizing Docker for containerized test execution. • Observability & Debugging: Correlate service logs across distributed architectures to triage complex failures and proactively communicate bug resolutions. • AI Workflow Integration: Pilot and leverage cutting-edge AI tools to enhance testing efficiency and delivery speed.

• Own the E2E flow automation strategy for SaaS Platform, prioritizing critical customer journeys (auth, provisioning, identity, role and permission flows) over exhaustive atomic coverage. • Build and maintain automation in Python with Playwright for UI flows and PyTest for API and contract coverage, contributing back to our internal framework when you find gaps. • Integrate tests into CircleCI and our tiered quality gates (PR smoke, nightly, pre-release regression) so gates are enforceable, fast, and trustworthy. Flaky tests are a defect; treat them like one. • Validate authentication, provisioning, and role/permission flows, and the OpenAPI contracts that downstream products depend on across MyCase, DocketWise, CASEPeer, and LawPay. • Partner with the Quality Engineers on your squad/across the organization: they surface the risk and coverage signals; you close them with automation. • Use AI tooling where it accelerates real outcomes: test plan generation, code review, automation scaffolding, and coverage gap analysis through our Qase MCP integration.

Role Description - Neu- und Weiterentwicklung von international genutzten Organisations- und Endkunden-Lösungen in agilen Teams - Gesamter Entwicklungsprozess von der technischen Konzeption über die Implementierung bis hin zum Deploy im Sinne von Continuous Delivery - Analyse der Kundenanforderungen und Entwicklung kreativer Lösungsvorschläge auf Basis der bestehenden Systeme - Umsetzung der IT-Strategie im Sinne von modularen, nahe am Kunden entwickelten Lösungen im agilen Umfeld Qualifications - Abgeschlossene IT-Ausbildung (HTL, FH, Uni) im Bereich Informatik, Softwareentwicklung oder vergleichbar - Fundierte praktische Erfahrungen in der Softwareentwicklung mit Java und (No-)SQL - Sehr gute Kenntnisse mit Open Source Frameworks wie Hibernate, Spring und Angular sind von Vorteil - Begeisterung für die Softwareentwicklung - Du bist ein Teamplayer und hast einen hohen Qualitätsanspruch - Zu deinen Stärken zählst du Engagement sowie Eigenverantwortung Benefits - Attraktive Home-Office-Modelle & flexible Arbeitszeiten - Zuschuss Klimaticket - Sicherer Arbeitsplatz in einem zukunftsorientierten Unternehmen - Das kollektivvertragliche Gehalt für diese Position beträgt mindestens € 3.267,- brutto/Monat. Abhängig von deiner Qualifikation und Berufserfahrung besteht die Bereitschaft zur Überzahlung. Contact Ihr Ansprechpartner: Herr Fabian Jahn, BA, Human Relations & IT-Recruiting Manager Kontakt: iTEC Informationssysteme AG, +43 660 520 05 68

Role Description As a Software Engineer on the Marketplace team, you’ll work at the intersection of full-stack product engineering and machine learning operations—helping power the systems that match renters to homes across ApartmentList.com and Sunny.com. You’ll contribute to a range of work: - Building and maintaining the backend which powers search - Supporting ML pipelines and model serving infrastructure - Collaborating closely with data scientists and engineers to bring ML capabilities into production This is a blended role for an engineer who is comfortable context-switching between product feature work and ML infrastructure, and who is excited to grow their depth in both areas. You’ll work closely with your Engineering Manager, product partners, and a globally distributed team. Qualifications - 5+ years of professional software engineering experience, with meaningful work in backend or full-stack development - Proficiency in at least one backend language (We use Ruby/Javascript, Go, Python) - Exposure to ML concepts and an interest in working at the boundary of software engineering and machine learning - Experience with a balanced approach using AI tools – improving workflows, reducing feedback loops - Experience working in cloud environments (GCP preferred; AWS or Azure also considered) - Excellent communication skills as well as debugging instincts with an ownership mindset - Ability to collaborate effectively across time zones and with cross-functional partners - Mentorship experience for other engineers Requirements - Hands-on experience with ML Ops tooling—Vertex AI, MLflow, Kubeflow, or similar - Familiarity with feature pipelines, model deployment, or A/B experimentation infrastructure - Experience with search or recommendation systems - Experience working in an online marketplace Benefits At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is: - Zone 1: $171,000 - $207,000 TTC (including $154,000 - $182,000 base salary) + equity - Zone 2: $158,000 - $191,000 TTC (including $142,000 - $168,000 base salary) + equity - Zone 3: $145,000 - $176,000 TTC (including $130,000 - $155,000 base salary) + equity This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job-related skills, experience, and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials, or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.