• Lead and grow a high-performing engineering organization spanning mobile (iOS/Android) and backend, responsible for delivering world-class, reliable products end-to-end. • Define and execute engineering strategy across mobile and backend, aligning technical initiatives with product and business objectives. • Own the group's overall technical architecture — including mobile-backend integration, API design, and service architecture — ensuring consistency and scalability across the stack. • Establish and drive adoption of engineering standards and processes (development, testing, CI/CD, observability, release management, code review). • Partner closely with Product, Design, and AI to deliver scalable, customer-centric experiences across mobile and backend. • Drive engineering excellence through architecture reviews, code quality, operational best practices, and continuous improvement across teams. • Build, mentor, and develop engineering managers and senior engineers across mobile and backend, fostering a culture of ownership, collaboration, and accountability. • Design secure, scalable APIs, backend services, and high-performance mobile solutions in an integrated way, rather than as two disconnected efforts. • Ensure all applications and services meet the highest standards for security, privacy, reliability, accessibility, and performance. • Lead technical planning and execution for strategic initiatives, balancing innovation, scalability, and delivery velocity across the group. • Oversee organizational growth, hiring, and adoption of emerging technologies — including AI-powered capabilities — across mobile and backend.

Role Description - Collaborate with engineers, designers, and stakeholders in a distributed delivery environment - Develop and maintain large-scale front-end web applications that are performant, scalable, and responsive across devices - Build modern UI solutions using Vue.js, JavaScript, and TypeScript, along with modern HTML and CSS standards - Translate UI/UX designs into high-quality, reusable, and maintainable components - Contribute to improving application performance, usability, and overall user experience - Support business and product goals through reliable and efficient front-end delivery Qualifications - Bachelor’s degree in Computer Science or a related field (or equivalent practical experience) - 2–4 years of experience in front-end or commercial software development - Solid understanding of version control systems, build processes, debugging, and testing practices - Ability to take ownership of tasks and deliver high-quality work independently - Good command of English (written and spoken) Requirements - Strong experience with Vue.js, JavaScript, and TypeScript - Experience integrating with REST APIs and working with backend services - Familiarity with infrastructure and tooling such as Nginx, AWS CLI, MongoDB, and Bruno - Experience with using AI platforms in the development process Benefits - Experience with C# or similar backend technologies - Exposure to cloud platforms such as AWS or equivalent services - Familiarity with frontend testing frameworks and automation tools - Understanding of UI/UX principles and design collaboration - Experience working in distributed or multi-stakeholder delivery environments Company Description Dear recruiters there is no need to edit this.

Role Description We are seeking a highly experienced and motivated developer to join our company. As the Software Engineer, you will focus on the cross-layer software development and microservices integration necessary to assemble a highly secure AI inference platform. You will be responsible for: - Wiring multi-module backend layers - Establishing stable inference endpoints - Implementing attestation-gated security mechanisms that safeguard critical model weights and execution boundaries within hardware-enforced Trusted Execution Environments (TEEs) Responsibilities - Multi-Module & Application Integration: Program and stabilize core microservices, bridging backend data pipelines with advanced containerized inference runtimes to ensure seamless data flow. - Secure Endpoint Development: Design, expose, and optimize stable APIs for protected model ingestion, system lifecycle events, and inference requests. - Cryptographic Boundary Assembly: Integrate security sidecars and automated provisioning modules executing asymmetric decryption protocols (e.g., 4096-bit RSA) and cryptographic signature validation to facilitate attestation-gated asset release. - Network & Gateway Routing: Configure low-latency sidecar proxies and API gateways to maintain end-to-end encrypted pathways utilizing strict mutual authentication (mTLS). - Workload Orchestration: Maintain and update cloud-native application configurations (such as Helm charts) to orchestrate isolated container runtimes across distributed execution clusters. Qualifications - Professional fluency in Python, Rust, or C/C++ applied to performant backend services, API frameworks, or system microservices. - Practical experience working with high-throughput inference engines and serving frameworks (such as vLLM or KServe) within containerized environments. - Knowledge of digital certificate management, public key infrastructure (PKI), asymmetric encryption tools (GPG), and transport security protocols (TLS 1.3/mTLS). - Conceptual or practical familiarity with Trusted Execution Environments (TEEs), confidential computing isolation, or remote attestation concepts. - Familiarity constructing continuous integration and continuous deployment (CI/CD) automated pipelines, container orchestration scripts, and automated validation frameworks to facilitate continuous software updates. What you can expect from us The team at Capacity enjoys the opportunity and benefits of working at an artificial intelligence startup, with leaders who’ve worked at places like Apple, Ebay, Visa, Answers.com, Oracle, Boeing, and many more world-class companies. The culture at Capacity encourages: - Innovation - Independent problem solving - Collaboration as we continue to mature our product in the ever-changing world of AI Benefits - Private health insurance (with the option, at the employee's expense, to add coverage for couple and children) - Company Profits Interest Units or Profits Interest Units Appreciation Rights eligibility - Flexible compensation options (i.e., meal voucher, transportation voucher, and childcare voucher) - Competitive time off and public holiday policies - A supportive, diverse workplace where we prioritize respect for each other and our clients - A fun, collaborative and growth-oriented team culture Salary range The expected base salary for the Software Engineer II role is between €35,000 and €45,000; actual salary will be commensurate with a candidate's experience, skill, and location. Company Description At Capacity, we value more than just hard skills. Our goal is to build a holistic and diverse team. If you aren’t sure if you qualify, just apply! We will carefully consider your application and are always grateful for any time and effort invested in Capacity. At Capacity, we believe in more than just building amazing products and helping our customers. Although we are a remote workforce, we remember the neighborhood where we started. We still strive to elevate our community by furthering access to education and careers in the tech space. Our affiliated nonprofit, Create A Loop , brings rigorous computer science courses to underserved communities with little to no access to formal computer science education. There are many opportunities for our Capacity team members to serve and educate our Create A Loop students throughout the year.

• Develop and maintain applications using the Mendix Low-Code platform • Assist with requirements gathering, system design, development, testing, and deployment • Configure microflows, nanoflows, domain models, UI pages, and integrations • Participate in Agile/Scrum ceremonies and collaborate with Business Analysts, QA, and Product Owners • Prepare and support User Acceptance Testing (UAT) • Perform data validation, quality assurance, and troubleshoot application issues • Create and maintain technical and project documentation • Support production readiness, defect resolution, and post-deployment activities