Top Software Engineer Jobs in Romania

Develop and integrate real-time camera and video pipelines on SoCs for ADAS. Work includes Linux/POSIX system programming, device driver development, ISP tuning, GPU acceleration (Vulkan/CUDA), graphics/display integration (OpenGL/EGL), debugging video pipeline issues, and board bring-up for camera interfaces and connectivity.

Develop embedded automotive safety systems focused on radar signal processing, reliable object detection, threat assessment and countermeasure deployment. Work on microcontroller-based systems, AUTOSAR and real-time OS components, communication stacks, and collaborate on application development for radar products.

Build and maintain globally distributed, fault-tolerant cloud backend microservices. Collaborate with cross-functional teams to design scalable systems, implement testing, logging and metrics, mentor developers, and improve architecture, performance, and stability using cloud and data storage technologies.

Develop and enhance functionalities for a climate tech platform, engaging with product teams and improving team culture.

Join a portfolio company as a Software Engineer to work on a performance-sensitive stack for crypto's dark pool, focusing on full onchain systems.

Work within a cross-functional product squad to design, build and maintain backend services, mobile features and APIs. Participate across the SDLC, write well-tested code, use CI/CD, containers and cloud infrastructure, and collaborate in Agile teams to improve engineering practices.

Design, develop, and maintain Java-based backend microservices with Spring Boot. Implement RESTful APIs, optimize SQL/database interactions, use event-driven architectures (Kafka), containerize with Docker/Kubernetes, integrate CI/CD, leverage AI code companions, perform code reviews, participate in architecture discussions, and mentor junior developers.

Lead organization-wide software and AI engineering strategy, architect large-scale data and LLM integrations, drive deployment and CI/CD practices, mentor technical leaders, and convert prototypes to production while ensuring AI evaluation, observability, and high code quality.

Build, maintain, and enhance Onapsis platform features for threat detection, vulnerability management, and compliance. Collaborate with product, research, and architecture teams to scope and implement scalable, secure solutions, improve platform maturity, and advance quality engineering and observability for production systems.

Build features, prototypes, and demos using modern AI coding tools and agents; iterate prototypes into reliable, scalable production; direct and evaluate AI coding agents; collaborate closely with founders and senior engineers; explore and improve AI development workflows to accelerate product delivery.

Design, build, and maintain the foundational, high-scale search engine systems powering billions of daily requests. Work on backend infrastructure, deployment automation, capacity planning, observability, performance-critical code, and production operations while collaborating with a team to ensure reliability and scalability.

Develop and maintain low-latency data platform components and feed handlers using Java; implement automated testing and monitoring; collaborate with Product Owner and cross-border teams; learn KDB/q and financial markets concepts.

Build and architect Base360.ai: design and launch booking, pricing, payments, operations, and AI-powered automation. Integrate platforms (Airbnb, Stripe, Twilio, OpenAI), scale systems internationally, and embed AI workflows to automate operations and optimize revenue.

The role involves programming embedded systems, learning Linux internals and debugging skills, and gaining experience with ARM architecture and device drivers.

Develop and maintain high-performance Angular front-end applications used by bank tellers for cash transactions. Deliver reliable, well-tested code, troubleshoot performance issues, collaborate with cross-functional teams, provide technical consultancy, drive improvements and mentor junior colleagues.

Develop and research microservices-based products within Stream-Aligned or Platform teams. Design and implement scalable, high-availability web applications, collaborate with PMs, architects and UI/UX, drive product design decisions, and contribute across frontend, middleware, and platform layers.

Design and implement scalable, high-performance enterprise applications across client and server stacks. Collaborate with Product, BA, UI/UX, and Scrum teams; propose improvements; ensure quality, performance and maintainability; identify and fix issues; participate in code reviews.

Design, build and deploy cloud-native SAP CAP applications on SAP BTP. Implement CDS data models and OData services, develop Node.js backend logic, integrate security and connectivity, deploy via Cloud Foundry/Kyma with CI/CD, and craft UIs with CDS annotations/SAPUI5 and Fiori Elements.

Design, implement and maintain modern SAP cloud integrations using SAP Integration Suite (iFlows, API Management, Event Mesh). Build secure, event-driven and B2B/EDI connections, handle transformations (XSLT, Groovy, Message Mapping), manage adapters/protocols, ensure error handling and security, and collaborate with stakeholders while mentoring teammates.

Develop, enhance, and maintain server-side product data and API services using Java/Spring Boot. Implement REST web services, ensure resiliency and high availability, add monitoring, troubleshoot issues, participate in code reviews, and maintain technical documentation.

Work on collaborative, cross-functional teams to design and deliver high-quality software using TDD, CI/CD and DevOps practices. Build features, stabilize legacy code, follow Agile/Lean methods, and apply cloud and modern tooling to solve client problems.

Design and maintain backend APIs, optimize performance, collaborate with teams on architecture, focusing on enterprise client needs and user experience.

As a Software Engineer for Data Infrastructure & Acquisition, you will manage data collection for model training, extend cloud infrastructure, and collaborate with AI scientists on datasets.

As a Software Engineer in Data Infrastructure, you'll handle data collection for model training, manage GCP infrastructure, and enhance data ingestion pipelines.

Design, build, and optimize backend services for data gathering, processing, and delivery. Define and maintain service contracts, ensure high test coverage, observability, and documentation. Make architectural decisions for distributed systems, collaborate with product teams, and maintain/ improve an existing Kotlin/Java codebase.