Internal Audit It Associate Manager Jobs

P-188 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 8+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are

P-97 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 5+ years of experience working in a related system (preferred) Optional: PhD in databases or distributed systems Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based o

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Software Engineer to join the Elasticsearch - Analytical Engine team. This globally-distributed, completely remote team of senior engineers is responsible for building new analytics capabilities in Elasticsearch’s latest aggregation framework based on a completely new compute engine, and accessed via our new piped query language called ES|QL . This is a senior software engineering role that covers the design and implementation of new features, enhancements to existing features, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you’ll need to implement a data structure or algorithm in the

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Developer to join the Elasticsearch - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s completely new compute engine, and accessed via our new piped query language called ES|QL . This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of ES|QL capabilities. This role includes providing technical vision and direction for the customer/user interfaces and for the underlying language syntax and compute infrastructure. This role requires related past technical experience in addition to the ability to work cross-organization. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the development of data-intensive enhancements. You’ll research

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s completely new compute engine, and accessed via our new piped query language called ES|QL . This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of ES|QL capabilities. This role includes providing technical vision and direction for the customer/user interfaces and for the underlying language syntax and compute infrastructure. This role requires related past technical experience in addition to the ability to work cross-organization. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the development of data-intensive enhancements. You’ll research t

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Software Engineer to join the Elasticsearch - Analytical Engine team. This globally-distributed, completely remote team of senior engineers is responsible for building new analytics capabilities in Elasticsearch’s latest aggregation framework based on a completely new compute engine, and accessed via our new piped query language called ES|QL . This is a senior software engineering role that covers the design and implementation of new features, enhancements to existing features, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you’ll need to implement a data structure or algorithm in the

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Operating Systems team is critical in this mission, turning sophisticated hardware and AI capabilities into a reliable, trusted platform. Security is central to that work: we define trust boundaries, integrate hardware-backed protections, isolate sensitive context, and establish the guardrails that let AI applications and agents act safely, privately, and under user control. About the Role We’re looking for a Software Security Architect to define the security architecture for OpenAI’s next-generation operating system. You’ll work alongside hardware security architects and partner with operating system, silicon, firmware, privacy, and product teams to protect users, their devices, and their data. This is a senior, hands-on role for someone who can connect operating system internals, hardware-backed security, and real-world product constraints. Your work will shape the platform’s trust model, protect sensitive information, and set the technical foundations for AI that is safe, private, and under user control. In this role, you will: Define the operating system’s security architecture, trust boundaries, privilege model, and protections for sensitive user data. Partner with hardware security architects to integrate roots of trust, secure elements, trusted execution environments, and processor security capabilities into the operating system. Desig

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We are the Lakeflow Engineering team, responsible for Databricks ETL product line: Jobs , Spark Declarative Pipelines , and Genie Code for Data Engineering . We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance. The main responsibilities include: You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform. You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. You will build processes to implement product vision and strategy, according to organizational goals and priorities. You will build software that is not just high quality but easy to operate. You will manage technical debt, including long-term technical architecture decisions and balance product roadmap. What we look for: Minimum 3 years of experience in managing top-tier engineering teams 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals. A passion for database systems, storage systems, distributed systems, or performance optimization

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We are the Lakeflow Engineering team, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration. The main responsibilities include: You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform. You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. You will build processes to implement product vision and strategy, according to organizational goals and priorities. You will build software that is not just high quality but easy to operate. What we look for: Minimum 3 years of experience in managing top-tier engineering teams 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals. A passion for database systems, storage systems, distributed systems, or performance optimization Experience working with product management, and directly with customers; ability to understand customer needs. Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience buildi

The team + the role The Mobile SDK team at Pendo develops and maintains the Pendo mobile product — our native SDKs for iOS and Android, along with integrations across React Native, Flutter, MAUI, and CMP. We work deep in OS internals, maintain rigorous automation and release pipelines, and collaborate closely with customers to ensure their success with the product. A single defect in our SDK can affect thousands of host applications, so quality isn't a value we aspire to — it's the baseline we ship against. Pendo's mobile SDK enables businesses to collect detailed analytics and visual session replays on user behavior within their mobile applications — without extensive coding. That data helps customers understand how users interact with their apps and enables delivery of targeted in-app messages and guides that improve experience and drive adoption. As a Software Engineer on this team, you'll work on a product that is technically demanding, customer-visible, and genuinely consequential. You'll use AI coding tools as a core part of your workflow — and apply the same engineering rigor and review discipline to AI-generated code as you would to anything written by hand. This role is based in Herzliya, Israel and follows Pendo's in-office model: in-office 3 days per week. What this looks like day-to-day Design, implement, and maintain new SDK features, ensuring seamless integration with the broader Pendo mobile product across iOS and Android. Dive deep into OS internals to optimize performance, troubleshoot issues, and ensure the SDK functions correctly across all supported devices and OS versions. Contribute to SDK development across mobile frameworks — Flutter, React Native, MAUI, and CMP — ensuring compatibility and performance in each environment. Use AI coding tools (Cursor, Claude Code) as a core part of your daily workflow; apply strong engineering judgment and review rigor to AI-generated code before it ships, holding it to the same bar as hand-written code. Writ

Work Flexibility: Field-based Representante de Vendas, Ortopedia (Curitiba) Como Representante de Vendas de Ortopedia, você será responsável por executar a estratégia comercial na região de Curitiba, assegurando o atingimento das metas de vendas, excelência no relacionamento com clientes e total conformidade com os padrões éticos, regulatórios e de qualidade da Stryker. O que você fará: Executar a estratégia comercial da região, garantindo o cumprimento das metas e quotas de vendas estabelecidas. Desenvolver e manter relacionamentos de longo prazo com clientes, identificando oportunidades de expansão de negócios. Fornecer treinamento e suporte técnico aos clientes sobre o portfólio de Ortopedia, assegurando correta utilização dos produtos. Colaborar com equipes internas para garantir entregas eficientes e suporte pós-venda de excelência. Monitorar tendências de mercado e produtos concorrentes, ajustando a abordagem comercial conforme necessário. Participar de eventos e congressos do setor para promover os produtos e gerar novas oportunidades de negócios. Conduzir todas as atividades em conformidade com políticas internas, Código de Conduta da Stryker, FCPA e regulamentações aplicáveis. O que você precisa: Requisitos Obrigatórios: Formação acadêmica concluída Experiência em vendas de dispositivos médicos Conhecimento de técnicas de vendas, demonstração de produtos e estratégias comerciais. Necessário conhecimento em ambientes hospitalares e cirúrgicos. Conhecimento do pacote office Requisitos Desejáveis: Experiência em venda de produtos/equipamentos de Ortopedia Inglês em nível intermediário ou avançado Conhecimento em estratégias de marketing e controle de v

Position Overview Our customers are at the forefront of some of the most interesting data in the world, using SingleStore to push the boundaries every day. To do this well, they leverage the expertise of our Support Engineering Team, composed of technical subject matter experts on the frontline of critical customer issues. This Support Engineering role skews far more towards engineering than typical technical support as you will need to delve into database internals and memory allocators, investigate Linux and host-related configurations, and diagnose SQL query behaviour, all in the name of resolving complex database issues. Our Support Engineers are constantly learning a wide range of customer systems and technical concepts and are thrilled by the new and exciting challenges that they encounter on a regular basis. To accurately identify the source and solution of an issue, this team will take the time to learn about the customer’s business and systems while helping to improve their fundamental SingleStore and database operational knowledge. This often requires additional research and time spent on learning new technologies and tools outside of SingleStore while also being deeply engaged with multiple departments including development teams, query performance engineering, product management, infrastructure SREs, etc. Required Hours The hours required are from 11:30 AM IST - 8:30 PM IST (9 hours) for 5 days Participate in our on-call rotation that may include weekends and holidays. Role and Responsibilities Provide email and live technical support to our enterprise customers, acting as the first line of defense for complex technical issues, bug diagnosis, or resolving critical outages. Identify and reproduce product issues, perform QA, and submit formal bug reports or feature requests to the appropriate Engineering team. Collaborate closely with software developers, sales engineers, and technical account managers to keep all teams up to date with current

About SingleStore SingleStore delivers a real-time, distributed SQL database that unifies transactional and analytical workloads. Our engineers build cloud-native software for some of the world’s most demanding data-intensive applications, working in a fast-moving environment where teams own their work end to end and partner closely across Product and customer-facing organisations. About the Flow team SingleStore Flow is an enterprise data migration and integration product that helps customers move data into SingleStore reliably and at scale. The team builds the systems that support schema transfer, bulk data loading, real-time Change Data Capture (CDC), large-table migrations, and a native experience in SingleStore Helios. Flow spans Java-based engines, source and destination connectors, database internals, performance and memory management, Helios services and APIs, observability, test automation, Flow AI Agent and signed production release delivery. The product works across heterogeneous database environments, including MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, SAP HANA, Snowflake, Salesforce, and SingleStore-as-a-source. Position Overview We are looking for a Staff Engineer to provide technical leadership for Flow’s end-to-end data path from source systems and CDC through migration engines, APIs, Helios, and the customer experience. This is a hands-on individual contributor role with broad technical influence. You will own major architectural decisions, lead strategically important and release-defining initiatives, solve complex reliability and data-consistency problems, and help the team build durable systems that customers can trust with their most important migrations. You will remain close to the code while raising the technical bar for design, testing, observability, operational excellence, and AI-assisted engineering. The ideal candidate is a systems-minded engineer who enjoys working across product boundaries, can move comfortably between architectu

SOBRE A CAPCO A CAPCO é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 33 escritórios nas Américas, Europa e Ásia-Pacífico! Vamos te apoiar e ajudar a acelerar sua carreira! Se você mora em Rio de Janeiro, essa vaga é para você! ATRIBUIÇÕES Atuar no desenvolvimento e implementação das ações preventivas e corretivas de segurança no trabalho, visando garantir a saúde e a integridade física dos trabalhadores e das comunidades, bem como a continuidade operacional das instalações, em articulação com as áreas de meio ambiente e saúde; Preparar, acompanhar e representar o laboratório em auditorias internas e externas (DZ56 - INEA, VCL); Implementar e acompanhar o Programa de Gerenciamento de Riscos (PGR) , Programa de Proteção Respiratória (PPR), Relatório de Ergonomia; Realizar a gestão e acompanhamento de realização dos treinamentos obrigatórios e mandatórios de SMS; Conformidade legal: avaliar e implementar normas e legislações aplicáveis ao laboratório, bem como gerir o Sistema Requisitos (SMSMS-RE ou o correspondente); Atualizar permanentemente o Sistema Requisitos ou qualquer outro que porventura venha a substituir o atual; Monitorar o Plano de Radioproteção (controle do uso dos Dosímetros e treinamentos); Divulgar e aplicar a política de SMS da empresa; Realizar abrangência de alertas de SMS, preparar e apresentar Briefing de segurança e Diálogos de SMS. Realizar a gestão dos resíduos contaminados do laboratório. Controlar o almoxarifado de produtos químicos, suas FISPQ e gerenciar os produtos controlados pela Polícia Federal; identificar os riscos das atividades, avaliar seus aspectos e promover formas de minimizar seus impactos; Controlar a certificação, validade e entrega dos Equipamentos de Proteção Individual (EPI); Fazer o controle e registro de entrega de EPIs utilizando o SIS – Sistema Informatizado de Saúde. Verificar as co

SOBRE A CAPCO A CAPCO é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 33 escritórios nas Américas, Europa e Ásia-Pacífico! Vamos te apoiar e ajudar a acelerar sua carreira! Se você mora em Rio de Janeiro, essa vaga é para você! ATRIBUIÇÕES Atuar no desenvolvimento e implementação das ações preventivas e corretivas de segurança no trabalho, visando garantir a saúde e a integridade física dos trabalhadores e das comunidades, bem como a continuidade operacional das instalações, em articulação com as áreas de meio ambiente e saúde; Preparar, acompanhar e representar o laboratório em auditorias internas e externas (DZ56 - INEA, VCL); Implementar e acompanhar o Programa de Gerenciamento de Riscos (PGR) , Programa de Proteção Respiratória (PPR), Relatório de Ergonomia; Realizar a gestão e acompanhamento de realização dos treinamentos obrigatórios e mandatórios de SMS; Conformidade legal: avaliar e implementar normas e legislações aplicáveis ao laboratório, bem como gerir o Sistema Requisitos (SMSMS-RE ou o correspondente); Atualizar permanentemente o Sistema Requisitos ou qualquer outro que porventura venha a substituir o atual; Monitorar o Plano de Radioproteção (controle do uso dos Dosímetros e treinamentos); Divulgar e aplicar a política de SMS da empresa; Realizar abrangência de alertas de SMS, preparar e apresentar Briefing de segurança e Diálogos de SMS. Realizar a gestão dos resíduos contaminados do laboratório. Controlar o almoxarifado de produtos químicos, suas FISPQ e gerenciar os produtos controlados pela Polícia Federal; identificar os riscos das atividades, avaliar seus aspectos e promover formas de minimizar seus impactos; Controlar a certificação, validade e entrega dos Equipamentos de Proteção Individual (EPI); Fazer o controle e registro de entrega de EPIs utilizando o SIS – Sistema Informatizado de Saúde. Verificar as co