• Design, build, test, and deploy REST APIs and backend services in .NET • Collaborate with product and engineering on new features, from spikes through delivery • Participate in code reviews and contribute to team engineering practices • Work with SQL and NoSQL (e.g., MongoDB) data stores in production systems

Role Description Tieto Tech Consulting (MentorMate from 2001 to 2026) is looking for a highly skilled and motivated Middle Java Full Stack Developer, a professional who will join a project within a Telecom Team for our respectful client BICS. - Develop your telecom expertise in a diverse portfolio of BICS products, including Voice, Cloud, Signaling, LTE, IoT, etc. - Enjoy unmatched growth opportunities with BICS vast network and customers around the world. - Tieto-BICS team has been growing since 2010… and we are looking forward to growing with you! - Design, develop, and maintain scalable applications using Java and modern frontend technologies. - Lead by example and mentor a development team in day-to-day delivery while continuously improving engineering practices. - Drive technical discussions and contribute to architecture decisions. - Collaborate closely with stakeholders, product owners, and cross-functional teams. - Ensure clean, maintainable, and well-tested code. - Take ownership of features and deliver end-to-end solutions independently. Qualifications - 2+ years of experience in commercial software development using Java. - Strong experience with Java 17+, Spring, Spring Boot, Hibernate, and JPA. - Good knowledge of JavaScript and React.js. - Experience in API design and development. - Strong understanding of relational and NoSQL databases, with expertise in writing and optimizing complex SQL queries. - Solid understanding of design patterns, clean code principles, and testing practices. - Experience working in Agile/Scrum environments. - Strong communication skills in English. - Openness to using modern AI tools in daily development workflows (e.g. GitHub Copilot, Claude Code, ChatGPT). - Ability to travel abroad for business trips. Requirements - Experience with microservices architecture. - Cloud and cloud-native experience (AWS is a plus; Azure or Google Cloud also valuable). - Experience with OSS/BSS integrations; knowledge of CAMARA and GSMA standards is a strong advantage. - Experience with Test-Driven Development (TDD). - Experience in performance tuning and system optimization. Personal Skills - Leadership mindset with a hands-on approach. - Proactive, self-driven, and solution-oriented attitude. - Strong analytical and problem-solving skills. - Team player with a collaborative mindset. - Ability to estimate work accurately and commit to delivery plans. Additional Information At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. - Diversity, equity and inclusion | Sustainability | Tieto - Stay alert to recruitment scams: - Tieto only communicates via @tieto.com email addresses. - We never ask candidates to pay fees or share financial details during recruitment. - If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site. - For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog.

Role Description We're looking for a SENIOR FULLSTACK AI ENGINEER to join our team! As a Senior Fullstack AI Applied Engineer, you will combine strong software engineering fundamentals with modern AI-assisted development practices to deliver high-quality software faster and more effectively. - Leverage AI coding assistants, agentic development workflows, and AI-powered engineering tools throughout the Software Development Life Cycle. - Work alongside product, engineering, and design teams to build scalable solutions while continuously improving development practices through the effective use of AI. AI-Assisted Software Development - Use AI coding assistants such as OpenAI Codex, Claude Code, Cursor, GitHub Copilot, or equivalent tools as part of daily development workflows. - Apply AI-assisted approaches to software design, implementation, testing, debugging, refactoring, and documentation. - Develop and maintain reusable prompts, workflows, skills, and agent instructions that improve engineering effectiveness and consistency. - Use agentic development techniques to accelerate feature delivery while maintaining engineering quality standards. - Contribute to the evolution of AI-enabled engineering practices across teams and projects. Full Stack Development - Design, build, and maintain modern web applications across frontend and backend systems. - Develop scalable APIs, services, and user interfaces using modern engineering practices. - Contribute to architectural decisions and system design discussions. - Ensure software solutions meet performance, security, reliability, and maintainability requirements. - Collaborate with multidisciplinary teams to deliver high-quality customer experiences. Quality, Trust & Engineering Excellence - Review and validate AI-generated code to ensure production readiness. - Implement automated testing and quality assurance practices throughout the SDLC. - Participate in code reviews and contribute to engineering standards and best practices. - Design and implement mechanisms that increase trust in AI-generated outputs, including automated validation, testing strategies, specification conformance checks, evaluation frameworks, and feedback loops. - Establish guardrails and verification workflows that ensure agent-generated code and artifacts meet functional, security, performance, and maintainability requirements. - Evaluate the effectiveness, reliability, and quality of AI-assisted development workflows and continuously improve them. - Contribute to the development of reliable engineering practices for agentic software development. Collaboration - Work closely with Product Owners, Designers, QA Engineers, and other Software Engineers. - Support the adoption of AI-enabled engineering practices across teams. - Share knowledge, workflows, and best practices related to AI-assisted software development. - Mentor other engineers on effective and responsible use of AI throughout the software development lifecycle. Qualifications - At least 5 years of professional experience relevant for the role. - Relevant experience in React and Node.js. - Strong experience delivering software across the Software Development Life Cycle. - Experience building production-grade software applications. - Experience working within Agile product development teams. - Strong communication and technical collaboration skills. Requirements - Demonstrated experience using AI coding assistants in professional software development. - Experience using AI for code generation, refactoring, debugging, testing, documentation, and software design. - Familiarity with agentic development workflows and AI-powered engineering tools. - Experience creating and maintaining prompts, workflows, skills, agent instructions, or similar reusable AI assets. - Ability to critically evaluate and validate AI-generated outputs. - Experience designing workflows that improve confidence and trust in AI-generated outputs. - Understanding of validation techniques for AI-assisted development, including testing, specification-based verification, evaluation frameworks, and human-in-the-loop review processes. - Experience working with AI agents to execute multi-step development activities. Benefits - Health Insurance, because health comes first. - Flexible working hours. - Open holidays, take the time you need for yourself. - Profit distribution for everyone. - Mindera Annual Trip, Sports, and sharing groups to connect and have fun! - Training & conferences, create your own training plan. - Child Care vouchers. - Choose Laptop & Peripherals that best suit your needs. - Hotspot with unlimited usage (PT), for work or Netflix. - Amazing offices in Porto, Aveiro, and Coimbra if you want to physically connect with minders. Remote is also an option. - A wide range of snacks to keep you fed and healthy at the offices. - Partnerships with local businesses. - Work with a bunch of great people in a politics-free environment. - Encouragement to take risks, make decisions, and enhance communication. - Freedom and Responsibility go hand in hand, valuing commitment, feedback, and empathy.

Title: Senior Onboard Software Engineer Location: Mountain View CA US Job Description: Matternet is building the future of delivery with autonomous drone networks that move critical goods faster, cleaner, and at lower cost. We work with partners across healthcare, logistics, food, and retail to deliver everything from medical items to everyday essentials, safely and reliably. We’re seeking a Senior Onboard Software Engineer to develop the software that runs on our aircraft and ground assets. Working primarily in C++ on embedded Linux, you’ll develop and harden the safety-critical subsystems that allow our drones to fly autonomous Beyond-Visual-Line-of-Sight (BVLOS) missions across varied environments, from open airspace to dense, urban areas. This is a senior individual-contributor role with real ownership: you'll own specific subsystems end-to-end, drive implementation through simulation and flight test, and partner with teams across the company to validate and support them in the field. In this role, you will: - Own safety-critical onboard subsystems that enhance our UAS capabilities and safety mitigations - Build the systems that allow aircraft to fly autonomously in demanding environments, including dense urban airspaces - Deliver major customer-facing features on flight and ground assets, while balancing performance, safety, and reliability - Drive software verification and release, from simulation and flight test to deployment across production fleets - Provide senior technical support, triaging and solving field and flight-test issues - Collaborate with stakeholders within Engineering, Operations, Safety, and Production Requirements - 5+ years of production software engineering, owning major subsystems end-to-end - Expertise in C++ or later, multithreading, real-time messaging, and algorithm design and optimization - Strong Linux background and experience with cross-compiling - Experience with Python, YAML, and other scripting tools - Solid applied math skills (geometry, coordinate transforms, kinematics) for navigation and avoidance - Proven ability to implement and validate complex native systems and validate them in simulation and on hardware - Proficiency with version control and peer code review workflows (e.g. Git) - Excellent technical communication and strong cross-disciplinary teamwork in a fast-paced environment Preferred Qualifications: - UAV, autonomous robotics, aerospace, or other safety-critical regulated experience - Experience using AI coding assistants to accelerate development - Familiarity with an autopilot stack such as ArduPilot or PX4 - Computer vision and perception (OpenCV or similar) and sensor integration - Experience with Docker, and containerized build, test, and development environments - Experience with distributed systems, networking, and fleet management - Relevant mechanical, aerospace, or electrical engineering experience Work Environment: - In-person role based at Matternet Headquarters and access to our flight test facility - The ability to work and communicate efficiently online with a hybrid team is critical to success Benefits At Matternet, we’re advancing a new era of logistics, one where autonomous drones deliver what matters faster, cleaner, and more efficiently. We know our mission is challenging, but it's worth it, and we are committed to taking care of the people who make it possible. - Compensation: The expected starting range for this role is $180,000–$240,000, based on San Francisco Bay Area market data. This range reflects the target starting pay for candidates who meet the minimum qualifications for the role. Final compensation will depend on factors such as your experience, skills, level, location, and potential impact. - Total Rewards: In addition to base pay, our compensation packages include equity and benefits such as medical, dental, vision, life, and disability coverage, flexible spending accounts (FSA), unlimited paid time off, company holidays, and a 401(k) plan.