mika is revolutionizing financial management for small businesses with an AI-powered platform that combines automated accounting, proactive insights, and conversational AI. We're on a mission to make expert financial navigation and compliance accessible to every small business owner – dramatically reducing costs and bureaucratic burden. We're a small, senior team shipping fast, and every line of code we ship matters. Our stack: FastAPI & Django backend, React frontend (Material UI, react-query), PostgreSQL, AWS. Tasks We build agentic AI systems that do real accounting work. As our product grows in complexity, so does the need to deeply understand and validate what our AI agents actually do – how they book transactions, why they made certain decisions, and whether the output meets real accounting standards. This is not a traditional QA role. You'll work closely with the product and engineering team to test new features, investigate edge cases, and build up our QA processes from the ground up. Over time, you'll grow into owning automated testing (E2E) and eventually supporting compliance and certification work. Concretely, you'll: - Manually test new features and document findings clearly. - Clone local environments and run our AI agents to validate their bookkeeping output. - Develop a deep understanding of German accounting logic to judge whether agent decisions are correct. - Collaborate with our customer success team and accountants to identify real-world edge cases. - Gradually build out E2E testing infrastructure (e.g. Playwright). - Help establish structured QA processes across the team. Requirements - Technical Foundation: You have practical programming experience (in any language) and a dedicated commitment to continuously developing your technical skill set. - Analytical Mindset: You possess a strong desire to learn and the ability to acquire deep domain expertise in complex subject areas. - Methodical Approach: You demonstrate structured thinking and ensure thorough documentation of your findings through a systematic workflow. - Independent Ownership: You are comfortable working autonomously and are proactive in flagging and communicating issues clearly and effectively. Nice to have: - Initial experience with automated testing tools such as Playwright, Cypress, or similar frameworks. - A background or professional interest in accounting, finance, or taxation. - Prior experience or academic focus in software development. Benefits - A small team of strong, senior engineers who respect each other's time. - Real ownership from day one – your findings directly shape the product. - A genuinely interesting domain – German tax law meets AI agents. - A clear growth path: from manual testing to E2E automation, compliance support, and eventually real software contributions – long-term, this role can grow into a full engineering position. - Almost no meetings – on average 95% focus time per day. - Berlin location preferred but remote within Germany possible.

Company Background Our client is a people-first financial services company that leverages technology to help consumers overcome debt and build a stronger financial future. With over 2,000 employees across the U.S., the company is expanding through a new division focused on home mortgage solutions. Project Description The Software Development Engineer in Test will design, test, and deploy effective test automation solutions to monitor, validate, and orchestration software throughout all stages of the SDLC. Technologies - Java + Unirest - JavaScript + WebDriverIO - Selenide, Cucumber - Maven, CircleCI, Google Cloud Platform, Cloud Firestore, Docker, Kubernetes, Datadog, LaunchDarkly What You'll Do - Design, develop, and maintain automated tests for UI and API layers; - Execute, analyze, and maintain automation test runs; - Build automation coverage across functional, integration, regression, and performance testing; - Improve and maintain automation frameworks and best practices; - Work independently on assigned streams or standalone automation tasks; - Collaborate with Agile teams and follow QA standards; Job Requirements - 3+ years experience in QA Automation; - 5+ years overall IT experience (preferable); - Strong understanding/experience in QA in general (including manual QA artifacts); - Strong background in at least one programming language (JavaScript is preferred); - Readiness to work with JavaScript right away is required; - Readiness to work with Java is required; - Experience working on both UI (WebdriverIO or Selenium)/API (Unirest or RestAssured) automation; - CI/CD understanding; - English level: B2 (Upper-Intermediate) or higher; What Do We Offer The global benefits package includes: - Technical and non-technical training for professional and personal growth; - Internal conferences and meetups to learn from industry experts; - Support and mentorship from an experienced employee to help you professional grow and development; - Internal startup incubator; - Health insurance; - English courses; - Sports activities to promote a healthy lifestyle; - Flexible work options, including remote and hybrid opportunities; - Referral program for bringing in new talent; - Work anniversary program and additional vacation days.

• Automate provisioning and lifecycle management of AWS services—including identity, compute, storage, backups, networking, logging, and monitoring—using Terraform or similar Infrastructure as Code (IaC) tools. • Deploy, configure, harden, and maintain infrastructure across AWS and hybrid environments following secure baseline standards. • Standardize reusable IaC modules, promote best practices, and improve environment consistency across dev/test/prod. • Build and enhance CI/CD pipelines and modern DevOps workflows using tools such as Git, Terraform, Jenkins, AWS CodePipeline, and Docker. • Troubleshoot and resolve infrastructure and automation issues to ensure reliability, performance, and mission continuity. • Implement operational visibility with logging/monitoring improvements and actionable dashboards (as applicable to your environment). • Apply cybersecurity best practices and support zero-trust and compliance-aligned infrastructure operations (e.g., NIST, CIS, ISO 27000). • Collaborate with security and networking teams to implement secure configurations, change controls, and audit-ready operational processes.

• Lead the optimization of ASIC design and verification flows and infrastructure, including compute clusters, storage, batch queuing systems using AI methodologies • Drive efficiencies with AI and automation across all tools and EDA workflows • Perform tool license management and optimization on batch compute environment • Manage ASIC tool installation, environment setup, and licensing support for ASIC design and AI applications • Collaborate with design and verification teams, IT, and engineering leadership to implement scalable and efficient workflows • Drive process improvements, patch management, and operational efficiency across multiple sites • Implement and maintain metrics reporting for resource utilization, engineering productivity, and system performance