Role Description Esta posição é estratégica para uma iniciativa de alta complexidade técnica em um dos maiores players do setor bancário. O profissional atuará de forma consultiva e executora, sendo referência na implementação de soluções de dados em larga escala, otimizando o uso da plataforma Databricks em áreas críticas como CRM e Segurança. Responsabilidades: - Desenvolver e otimizar pipelines de dados complexos utilizando a plataforma Databricks. - Atuar consultivamente para arquitetar soluções que destravem desafios de negócio através de dados. - Garantir a excelência técnica, escalabilidade e a performance das entregas conforme padrões rigorosos de governança. - Implementar arquiteturas de Lakehouse e gerenciar o ciclo de vida dos dados (camadas Bronze, Prata e Ouro). - Projetar e manter fluxos de CI/CD aplicados à engenharia de dados e monitoramento de qualidade (Data Quality). Qualifications - Sólida experiência e domínio profundo em Databricks (experiência prática com a plataforma). - Experiência comprovada em Engenharia de Dados e arquiteturas de Big Data (Spark, Delta Lake, Python/PySpark). - Certificações Databricks obrigatórias (ex: Data Engineering Associate ou Professional). - Experiência com integrações de dados complexos e arquitetura de nuvem (AWS ou Azure). - Histórico de atuação em projetos de alta criticidade e complexidade. - Conhecimento avançado em SQL para tunagem de performance e otimização de consultas em ambientes distribuídos. Benefits - Contratação CLT - 40h semanais com jornada flexível, executada de forma remota. - Plano de Saúde e Odontológico SulAmérica extensivo a dependentes. - Vale Alimentação/Refeição em cartão flexível Caju benefícios. - Seguro de Vida. - Auxílio Home-Office em cartão flexível Caju benefícios. - Wellhub (Gympass). - Sesc – extensivo a dependentes, com acesso aos serviços em todo o Brasil. - TotalPass. - ília University: Universidade Corporativa com mais de 20 mil cursos disponíveis para desenvolvimento pessoal e profissional. - Language Academy: Escola de idiomas para ílians. - í-talks e Chapter: Momentos e cerimônias em que o time compartilha práticas, estudos, projetos e ideias. - Plano de Saúde PET - Guapeco. - Onhappy – benefício de viagem a lazer, com liberdade para você viajar com quem quiser. - BYOD - Alugamos o seu notebook pessoal te pagando um valor mensal para que você o use. - Seu Niver, seu bolo! - Seu Networking Vale Prêmio - Programa de premiação a indicação de novos funcionários.

Role Description As a Technical Support Engineer at Redpanda, you will help our organization embody our commitment to delivering exceptional customer-centric technical support. Reporting directly to the Director, Technical Support, you will be a vital contributor to our growing support team in the Customer Success organization. In this role, you will play a fundamental part in ensuring our customers' success, fostering their confidence in our solutions, and elevating their overall experience. Your primary focus will be to leverage your technical expertise to provide world-class support for Redpanda’s range of products and services. Your ability to understand and address our customers' needs and technical challenges will be at the heart of our customer-centric approach. - Be the primary face of our organization to our customers to ensure we meet and/or exceed customer expectations on the Redpanda operation. - Work with engineering to drive and solve customer challenges from creation through resolution. - Partner with product engineering groups on periodic root cause analysis on customer issues, and distill lessons learned for the rest of the organization. - Build tools & services to create and improve support infrastructure, from issue life cycles to trending on root causes. - Participate in on-call rotations to follow the sun in support of our customers. - Ensure customer satisfaction through strong relationships with our Customer Success team. Qualifications - 3+ years of experience in L3 support of enterprise products, with a significant focus on distributed systems. - Strong understanding of Linux troubleshooting commands and regular expressions (grep/awk/sed). - Experience with deploying and troubleshooting applications in Kubernetes. - Strong experience with public cloud providers and containerization. - Proficiency in bash scripting and/or Python. - Willingness to participate in an on-call rotation. - Excellent written communication skills. - Comfortable working with a 100% distributed engineering team and remote first company. - Experience using AI tooling to automate repetitive tasks, or enhance troubleshooting. Nice to Have - Proficiency with Go. - Experience supporting a SaaS platform. - Experience supporting a streaming platform. Benefits - Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness.

Role Description We're hiring a Principal Solution Software Engineer to bridge product vision and engineering delivery on a platform built to scale across medical specialties. HCEsquared® is a PE-backed healthcare education platform — currently focused on dermatology — that connects pharmaceutical sponsors to verified clinical outcomes and powers AI-driven content at scale. Our engineering teams, internal and contracted, need requirements translated into precise technical specifications before code is written. That translation is your job. You will own the space between the whiteboard and the pull request: turning product requirements into technical designs, integrations into working systems, and ambiguous problems into solutions that ship. You catch design flaws before they become production incidents and make sure engineering always has what it needs to build with confidence. We ship through AI-assisted development — person-agent pairs using tools like Claude Code. You'll be fluent in that model and help set the standard for how it's used. Accountability - Solutions meet documented requirements with zero critical post-deployment defects from design or requirements gaps. - All platform integrations operational, documented, and maintainable. - Specifications complete and feasibility assessed before any sprint commitment. - Documentation, integration maps, and runbooks current at all times. - Engineering teams always have what they need to build with confidence. - Contribute to a reliable, scalable, integrated platform serving HCPs and pharmaceutical sponsors. Responsibilities - Translate requirements into technical specifications. Partner with product, design, and commercial stakeholders to define the technical approach, assess feasibility, and document specs engineering can execute without ambiguity. - Design integration architectures for new platform capabilities and third-party systems — CRM, event management, marketing automation, CMS, LMS, and data platforms. Ensure every design fits the broader platform, AWS environment, and Snowflake data strategy, and extends across new specialty markets. - Own assigned solutions from design through production. Coordinate engineering teams, vendors, and stakeholders, and enforce a definition of done that covers code review, testing, analytics instrumentation, and documentation. - Lead technical design review. No significant feature or integration enters engineering without a validated prototype and reviewed specification. - Own third-party tool and API integrations across the platform — evaluate, define requirements, and keep them documented and maintainable. - Own the technical documentation layer: architecture diagrams, integration maps, API specs, and operational runbooks. - Provide build-vs-buy assessments for new tools and platform decisions, with evidence-based recommendations to the CTDO. Qualifications - Demonstrated leadership essentials as described above. - 4-year degree from an accredited academic institution. - 7+ years in solution engineering, technical product management, software architecture, or a senior IC engineering role. - Proven ability to write precise technical specifications engineering can execute without architectural ambiguity — this is core to the role. - Strong experience integrating third-party systems via REST APIs, webhooks, OAuth 2.0, and SAML 2.0 across a modern SaaS stack. - Web application architecture fluency at the level of a senior technical reviewer — ideally Next.js or React with AWS-hosted backend services. - Integration and architecture experience with headless Next.js, CMS, LMS, CRM, marketing automation, and event management platforms — not just as a user. - Strong QA, testing, and documentation discipline — runbooks, integration maps, and architecture diagrams are default deliverables. - Comfort working in an AI-assisted development environment (GitHub Copilot, Claude Code, or equivalent) is expected. - Healthcare or regulated industry experience preferred; familiarity with HCP platforms, pharma compliance, or medical education tech is a differentiator. Benefits - Fully remote work environment with a flexible time off policy. - Dedicated professional development support, including reimbursement for approved learning and development activities. - Comprehensive wellness benefits, including medical, vision, and dental coverage, with a significant portion of premiums subsidized for employees and eligible dependents, as well as access to HSA, FSA, and Dependent Care FSA plans. - Employer-paid life insurance, short-term disability, and long-term disability coverage. - 401(k) retirement plan with company matching. - Cell phone reimbursement for business use. - Home office stipend to support a productive remote setup.

Role Description We are seeking a Model Serving Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including: - Request routing - Batching - Caching - Autoscaling - GPU utilization - End-to-end observability across diverse model workloads The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field - Six or more years of experience in distributed systems, infrastructure, or ML platform engineering - Strong proficiency in Python and a systems language such as Go, Rust, or C++ - Deep experience operating high-throughput, low-latency services in production - Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM - Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization - Familiarity with Kubernetes, autoscaling, and modern cloud platforms - Experience with observability stacks including metrics, tracing, and structured logging - Solid grounding in performance engineering and capacity planning - Strong communication and incident response skills Requirements - Design and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems - Optimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexing - Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints - Build autoscaling and capacity management systems that balance latency, throughput, and cost - Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads - Integrate model serving with API gateways, identity systems, and observability platforms - Implement caching, prompt deduplication, and response reuse strategies where appropriate - Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking - Develop deployment workflows including canary releases, shadow testing, and automated rollback - Operate incident response for high-availability AI services and drive durable reliability improvements - Collaborate with ML and product teams to support new model releases and capability rollouts - Implement security controls including request signing, content filtering, and abuse detection at the serving layer - Document operational procedures, performance characteristics, and tuning guidance for internal teams - Stay current with AI serving research and translate advances into production capabilities Benefits - Competitive base salary commensurate with experience - Full-time, direct W2 employment with Bright Vision Technologies - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 698-4899. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.