• Collaborate multi-functionally with Product, Client Solution teams, and other engineering teams to deliver holistic client onboarding solutions. • Write well-designed and tested code to solve complex engineering problems. • Implement features to support the Data Lakehouse Framework and promote engineering best practices to influence the framework’s direction. • Lead individual projects including ownership of areas such as technical solution and architecture design, timeline and estimation, coding and implementation. • Communicate technical ideas and steer direction on projects from an engineering standpoint. • Mentor and guide other engineers on the team.

• Performs activities covering the full software development lifecycle, from requirements gathering to supporting the final deployment of the features they develop, consistent with agile development processes. • Join the development team, taking ownership of work items for development in each Sprint; • Carry out development-related activities such as analysis and design, programming, testing, and requirements; • Execute software development activities in a multidisciplinary manner with a focus on product quality and maintainability, including requirements, analysis and design, programming, configuration management, testing, and deployment; • Manage own work, promptly notifying the team of any delays or impediments; • Mentor and provide support to developers on the software project team; • Code and integrate software components according to technical specifications, using the development tools, programming language, and libraries defined for the project; • Identify, build, and test developed components to ensure quality; • Perform corrective and evolutionary maintenance of software components; • Produce technical documentation in accordance with the contract requirements for the project; • Integrate produced components with those built by other team members, using the integration tool defined for the project; • Set up and configure the local development environment according to project requirements and needs; • Provide support to the client's IT team and end users when requested regarding the characteristics and specifics of the developed components, modules, and software packages; • Deliver and execute integration tests in the client environment to ensure full functionality of the software and its components; • Monitor acceptance testing and deployment of the software in the client environments as established in the contract; • Conduct training and knowledge transfer to the client about the developed software to ensure proper system operation; • Understand the operation of information systems through experimentation/observation and have the ability to refactor legacy web systems.

• Colaborar na definição de arquitetura de novas soluções e manutenções das arquiteturas atuais. • Orientar os desenvolvedores quanto aos padrões de projetos adotados. • Apoiar na definição das tecnologias a serem utilizadas para determinado desenvolvimento. • Apoiar na integração (empacotamento) e merges (mesclas) de builds paralelamente desenvolvidos. • Entender os requisitos do cliente e criar arquiteturas personalizadas para atender a essas necessidades. • Criar planos detalhados, considerando aspectos de segurança, escabilidade, disponibilidade e desempenho. • Garantir que o escopo, contexto e restrições do projeto sejam documentados e aceitos. • Facilitar a decisão dos envolvidos, fornecendo informações e alinhando-as com os objetivos gerais. • Definir e documentar a estrutura e a forma do sistema. • Definir e documentar estratégias, padrões, guias, etc, para direcionar a construção do sistema. • Garantir que a arquitetura contemple os atributos de qualidade do sistema. • Desenvolver a descrição arquitetural. • Prover liderança técnica. • Manter-se envolvido com todo o processo de desenvolvimento.

Role Description At Veza, we're building the next generation of Access Identity Security — and we’re bringing GenAI into the core of that mission. We're seeking a Senior Backend Engineer who is excited to work on multi-agent systems, LLM-based automation, and Model Context Protocols (MCP) to transform how access control intelligence is built and delivered. This is a rare opportunity to operate at the frontier of LLM research and backend systems engineering, contributing to both the design of scalable architectures and the implementation of intelligent agents that reason, decide, and act. - Building APIs and backend services, test and evaluation frameworks in Python/Golang to support agentic workflows. - Prototyping and productizing LLM-based capabilities into the identity access pipeline. - Developing agent orchestration layers and working with frameworks like LangGraph or AutoGen. - Designing systems around context-awareness, memory, and autonomous decision-making. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 5+ years of backend development experience. - Strong proficiency in one or more programming languages, such as Python, Golang, or Java. - Experience designing and implementing RESTful APIs and Microservices Architectures. - Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and familiarity with IAM services and features. - Curiosity and/or experience with GenAI technologies, multi-agent systems, or prompt orchestration. - Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. - Strong sense of Product feature Ownership – from Ideation to Deployment. Requirements - The compensation for this role depends on several factors such as the candidate's skills, qualifications, experience, and work location. - Compensation Disclosure: $154,000 — $210,000 USD. Benefits - This position is also eligible for equity and a competitive benefits package. Company Description Veza is the identity security company. Identity and security teams use Veza to secure identity access across SaaS apps, on-prem apps, data systems, and cloud infrastructure. Veza solves the blind spots of traditional identity tools with its unique ability to ingest and organize permissions metadata in the Veza Authorization Graph. Global enterprises like Blackstone, Wynn Resorts, and Expedia trust Veza to visualize access permissions, monitor permissions activity, automate access reviews, and remediate privilege violations. Founded in 2020, Veza is headquartered in Redwood City, California, and is funded by Accel, Bain Capital, Ballistic Ventures, GV, Norwest Venture Partners, and True Ventures.