Role Description Estamos à procura de um Senior Fullstack Developer para integrar uma equipa tecnológica focada no desenvolvimento, evolução e operação de soluções aplicacionais robustas, seguras e escaláveis. Esta função terá um papel central na definição de padrões técnicos, arquitetura e práticas de desenvolvimento, assegurando qualidade de código, segurança, desempenho e resiliência em ambientes de produção. Como Senior Fullstack Developer, serás responsável por: - Desenhar, desenvolver e acompanhar soluções aplicacionais em ambientes on premises, híbridos e cloud; - Garantir escalabilidade, segurança, observabilidade e integração com sistemas existentes; - Colaborar com equipas de produto, operações e tecnologia; - Alinhar requisitos técnicos e funcionais com os objetivos de negócio; - Promover boas práticas de engenharia, CI/CD, testes e revisão de código; - Apoiar a resposta a incidentes e evolução contínua das aplicações em produção; - Orientar tecnicamente a equipa e elevar os standards de qualidade. Qualifications - Experiência sólida como Fullstack Developer, Tech Lead ou função similar; - Capacidade de definir arquitetura, standards técnicos e práticas de desenvolvimento; - Experiência em backend com Java/Spring Boot e Python/FastAPI; - Experiência em frontend com React e/ou Angular; - Conhecimentos sólidos de testes unitários, testes de integração, performance e segurança aplicacional; - Experiência com Docker, Kubernetes e CI/CD; - Experiência em ambientes cloud, nomeadamente Azure, AWS ou GCP; - Experiência em observabilidade end-to-end, incluindo logs, métricas e tracing distribuído; - Conhecimentos de bases de dados como PostgreSQL, MongoDB e Redis; - Experiência em modelação de dados, caching, migrações e resiliência operacional; - Experiência com integrações empresariais, APIs seguras, filas e plataformas iPaaS; - Conhecimentos de Spring Security, OAuth/OpenID, gestão de segredos e IAM; - Capacidade para trabalhar em ambientes on premises, híbridos e cloud; - Experiência em suporte L2/L3, resposta a incidentes e gestão de SLAs; - Boa comunicação com equipas técnicas, produto, operações e stakeholders de negócio. Requirements - Experiência com Boomi ou outras plataformas iPaaS; - Experiência em integrações com ServiceNow, Jira ou CRMs; - Experiência em ambientes críticos com on-call ou suporte de produção; - Conhecimento avançado de arquitetura híbrida e modernização aplicacional; - Experiência na definição de blueprints técnicos e modelos de governance; - Capacidade de mentoring e liderança técnica de equipas multidisciplinares. Benefits - Integração numa equipa técnica colaborativa e orientada à qualidade; - Participação em projetos aplicacionais complexos e de elevado impacto; - Oportunidade de trabalhar em soluções fullstack, integrações, cloud, DevOps e segurança; - Ambiente focado em autonomia, responsabilidade e melhoria contínua; - Possibilidade de evolução técnica e profissional; - Contacto com arquiteturas modernas, sistemas críticos e práticas avançadas de engenharia; - Pacote salarial ajustado à experiência e responsabilidade da função.

• A co-op term with Intel of Canada is a challenging but rewarding experience, allowing you to gain knowledge and experience in integrated circuit design and test, from custom design modules to developing SoCs. • As a member of our team, you will work alongside experienced engineers to solve new and interesting problems, making an important contribution to our exciting custom silicon solutions. • Join a collaborative and innovative team of engineers in creating an executable software model that simulates IP and SOC hardware to enable architectural exploration as well as pre-silicon firmware development and validation. • Gain real world exposure to complex development and debug challenges while working on a wide range of tasks including model design, implementation, and testing, as well as infrastructure development and customer support.

Role Description The Team Lead, reporting to the Data Collection Supervisor, will provide leadership and execution for a Call Center focused on Outbound Data Collection for Survey Research. The successful candidate’s responsibilities will include: - Staffing - Training - Scheduling - Production - Mentoring - Supervision - Quality - Reporting Having the ability, desire and experience to develop processes, lead and mentor others, and perform the critical tasks associated with an Outbound Call Center is critical to success. The Operations Center operates 24 hours a day, 7 days per week. Applicants must be able to work during evenings and weekends. Qualifications - High school diploma or equivalent required. - 6 months + documented work experience in a call center, contact center or processing center environment. - Must pass background check. - Candidate must reside in the U.S., be authorized to work in the U.S., and perform all work in the U.S. Requirements - Role should be mainly agent facing. - Responsible for production and quality of a team of 15-20 agents. - Ensure agents are meeting individual production and quality goals and work with QC team to provide appropriate coaching and feedback. - Execute daily staffing goals, ensuring all projects reach the recommended hours as provided by management. - Ability to demonstrate strong communication skills, both written and oral, required. Benefits - We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. - We are an equal opportunity employer. - Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. - Pay Range: $34,564.00 - $58,758.00 based on full-time employment.

Role Description We are seeking a Sr Video Intelligence Engineer to advance video understanding. This role will build video-language, summarization, context, and event-reasoning capabilities that improve camera intelligence and customer trust. In this role, you will be responsible to: - Own VLM strategy, video-language understanding, temporal video reasoning, event understanding, and multimodal embeddings. - Improve AI Video Search, video summarization, alert relevance, recognition support, and false-alert reduction. - Build and evaluate systems that generate useful natural-language descriptions, insights, and summaries from video. - Partner with AI, platform, product, and app teams to move models from research to production. - Develop production evaluation methods for precision, recall, grounding, latency, safety, and customer usefulness. - Guide architecture decisions across cloud, edge, and hybrid inference paths for video intelligence. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or - Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering. - Experience with LLMs, vision-language models, multimodal AI, or generative AI systems. - Strong Python software engineering skills. - Experience processing, analyzing, or serving video content at scale. - Familiarity with event detection, summarization, semantic understanding, embeddings, or model evaluation. - Experience deploying AI services into production with Git and CI/CD workflows. Requirements - Experience generating natural-language descriptions, summaries, or searchable representations from video. - Experience with multimodal foundation models, temporal video understanding, re-identification, or vector retrieval. - Experience improving precision/recall, reducing false alerts, or evaluating customer-facing camera AI. - Experience with smart home, security camera, IoT, edge/cloud, or real-time inference architectures. - Experience with Docker, Kubernetes, GCP/AWS, or production model monitoring. Benefits - The base salary range for this position is: $150K to $180K. - Actual salaries will vary based on several factors including but not limited to location, experience, and performance. - Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. - The position may be eligible to participate in the benefits program which includes, but is not limited to, medical, vision, dental, 401K, and flexible spending accounts.