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Build and extend Backbase's Android mobile banking apps, creating innovative features with strong UX for fintech customers. Core focus is Android development on an Agile team, with bonus exposure to JUnit, Mockito, Espresso, Gradle/Groovy/Python, and Jenkins.
Senior Android engineer at Backbase in Kraków who builds and extends the company's mobile banking product used across the fintech industry. Day to day: designing Android apps, driving best practices, and improving testing/CI-CD with tools like TDD, Bitrise/GitHub Actions, JUnit/Mockito/Espresso, Gradle, and optionally Python/Jenkins.
Backbase is hiring a Senior AI Applied Software Engineer (Frontend) in Kraków (hybrid, 2 days/week in office) to design and deliver complex features for its digital banking platform — the App, Design System and core experiences used by 100+ financial institutions. Core stack: Angular, TypeScript, RxJS, Webpack/Jenkins, with AI tooling used across the SDLC.
Platform software engineer at a Chicago quantitative trading firm who owns the production platform: build/release tooling, deployment orchestration across regions, and observability that move research and trading code into global live markets, replacing manual ops with automation. Core stack: Python (plus Java/C++ familiarity), CI/CD, Nomad/Kubernetes.
Dein Team OMR Reviews ist die führende Plattform in DACH für Software mit authentischen Nutzerbewertungen, die Transparenz in den SaaS-Markt bringen. Wir geben Entscheider*innen Orientierung und Sicherheit beim Kauf…
SRE on one of four Cloud Infrastructure teams at AUTODOC in Warsaw, keeping 200+ GCP/GKE services highly available while building new automation, CI/CD pipelines, and monitoring. Day to day: developer support, infrastructure improvements, PoCs, and on-call rotation. Core stack: Kubernetes/GKE, GCP, GitOps (FluxCD), PostgreSQL/ClickHouse, Grafana.
Senior Data Analyst at AUTODOC, an online car-parts retailer: gathering and interpreting data, building scalable dashboards, and partnering with product, business, and data-engineering stakeholders on forecasting and A/B testing to drive decisions. Core tools: SQL, Python/R, and Power BI/Tableau.
Frontend-heavy (70% React / 30% backend) senior full stack role at Mobility Global building AI-powered applications for the automotive data business: React/TypeScript UIs backed by Python FastAPI on AWS, with LLM/RAG/agentic features, SQL/vector databases, and daily use of AI coding agents.
Builds LLM-powered conversational analytics on S&P Global Mobility's automotive dataset: agentic workflows in LangGraph, RAG and text-to-SQL pipelines, and FastAPI services with eval/guardrail harnesses. Python-centric, AI-native team using coding agents daily, owning React front end through data layer; hybrid role in Gurugram.
Application Developer at Tyler Technologies' Maine division (Tyler Maine), building and maintaining web applications for Maine State Government's eGovernment/eCommerce services — coding across the SDLC, integrating with Tyler platforms, and prepping apps for cloud migration. Stack leans Perl/PHP on Linux with SQL databases; needs just 1+ year of experience.
Senior SDET at Veeam in Pune (hybrid) designing and maintaining test automation frameworks for UI, API, integration, and performance testing of cloud-native, distributed systems. Core stack: C#/.NET, Kubernetes, Docker, Helm, CI/CD with GitHub Actions/Azure DevOps, plus Playwright, WireMock, and GraphQL.
Senior Product Systems Engineer at Silicon Labs in Budapest: researches IoT end-applications (smart appliances, doorbells, e-metering), defines and tracks system-level requirements for wireless SoC products, and authors customer-facing documentation. Core stack: embedded microcontrollers, wireless protocols (Bluetooth, ZigBee, Wi-Fi), Python, and requirements management tools.
Remote full stack developer building and maintaining enterprise applications in an AWS cloud environment for Synergy Business Innovation & Solutions, a federal-focused IT solutions implementer. Core stack is Java, Angular/TypeScript, Node.js, REST APIs, and PostgreSQL, with US citizenship and Public Trust required.
Build and deploy data/ML applications, APIs, and large-scale data pipelines for Defense and Intelligence clients, turning analytics and machine-learning capabilities into reliable production services. Core stack: Python, Java, FastAPI/Django, Spark/PySpark, Elasticsearch, with ML model deployment on GPU/CPU and containerized environments. Active TS/SCI clearance required.
Senior backend engineer on Bitsight's Third Party Risk Management team, owning features from design through delivery of a SaaS product. Core stack is Python (Django/FastAPI/Flask, SQLAlchemy) with REST APIs, CI/CD, Docker/Kubernetes, and AWS.
Technical Lead for Data Science on Mercado Libre's Application Security team (hybrid, Buenos Aires). Designs and exploits data models across security tracks, builds dashboards and reports, and turns analysis into strategic recommendations while mentoring as the team's data science reference. Core stack: Python, ML, SQL/BigQuery, Tableau/Data Studio.
Mercado Libre is hiring a Cyber Security Software Engineer focused on third-party risk management (TPRM) in Buenos Aires (hybrid). The role manages vendor risk identification, assessment, and remediation, leads technical security conversations with suppliers, and builds AI-driven automations and risk dashboards using Python, LLMs, SQL/BigQuery, and cloud/API knowledge.
Intern at Amazon's RIVR robotics team in Zürich, engineering the networks behind autonomous doorstep-delivery robots: configuring the robots' internal networks (VLAN, DNS, time sync), tuning ROS2/WebRTC/MQTT traffic, characterizing 4G/5G, Wi-Fi and satellite links, and troubleshooting connectivity via packet captures. Stack: Linux, Python/Golang, C++.
Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading,…
WattFox, a German green-energy comparison platform, is hiring a software engineer to build internal tools, services, and API integrations with Python — turning business needs into prototypes and MVPs, then evolving them into stable, tested applications. Stack: Python, FastAPI, Docker, CI/CD, Git, SQL.
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