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Job Description

• Building and setting up new development tools and infrastructure
• Understanding the needs of stakeholders and conveying this to developer
• Working on ways to automate and improve development and release processes
• Ensuring that systems are safe and secure against cybersecurity threat
• Identifying technical problems and developing software updates and ‘fixes
• Working with software developers and software engineers to ensure that development follows established processes and works as intended
• Planning out projects and being involved in project management decision
• Deploy updates and fixes
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Qualifications

• BSc in Computer Science, Engineering or relevant field
• Good knowledge and experience of Computer Networking
• Good knowledge of Operating System (Window/Linux/Mac)
• Good knowledge of performance, security, load balancing, and system troubleshooting;
• Has experienced with Cloud base systems (AWS);
• Proficient with git and git workflows
• Problem-solving attitude and collaborative team spirit

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Job Description

• Writing clean, efficient, and maintainable code in Python 
• Implementing APIs and integrating external systems 
• Designing, optimizing, and managing SQL database modules 
• Performance improvement and code optimization 
• Covering code with unit tests 

Qualifications

• 6+ years of experience with Python
• 2+ years of experience with FAST API 
• Good knowledge of JavaScript (TypeScript, React) 
• Experience with AWS 
• Ability to work independently 
• At least an Upper-Intermediate level of English 
• Focus on simplicity and quality 
• Excellent problem-solving skills 
• Good communication skills 

WOULD BE A PLUS:

• Experience in the AdTech domain 
• Experience with Facebook Ads/Zemanta/Taboola 

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Job Description

What does a day look like for you here? 

• Use the key practices of SRE to provide operational support to customers.
• Work with the customer to establish the SLO/I/A and appropriate monitoring process to support these service levels.
• Manage the release of new features/components against the pre-agreed error budget.
• Work with the customer to establish an effectiveness process for Pre-Production Reviews
• Spend approximately 50% of time Developing tools and automation to streamline deployment, monitoring, and maintenance processes.
• Support the engineering team in developing automated operational tests to demonstrate a reliability baseline.
• Interface directly with the Change Squad to address poorly performing services.
• Collaborate with cross-functional teams to identify and address performance bottlenecks and reliability issues.
• Conduct regular performance analysis and capacity planning to ensure optimal system performance and resource utilisation.
• Implement and maintain monitoring, alerting, and logging solutions to proactively identify and address issues.
•  Serve as a technical point of contact for clients, providing guidance on their infrastructure, technology selection, and best practices.
•  Participate in client meetings and project discussions to understand business objectives and requirements and aligning technical solutions accordingly.
• Provide ongoing support and troubleshooting assistance to address clients' technical issues and concerns (including out-of-hours support where required)

Qualifications

So, what are we looking for?  

• Proven experience as a customer facing Site Reliability Engineer (SRE).
• Experience working with IaC tools such as Terraform, Git, and CI/CD.
• Working knowledge of a configuration manager such as Azure DevOps.
• Experience in implementing and managing monitoring and logging solutions.
• Experience in implementing and automating solutions on Public Cloud platforms (Azure, GCP, AWS).
• Exposure to containerisation technologies such as Docker and container orchestration platforms like Kubernetes.
• Understanding of security, networking, cloud computing, and distributed systems concepts.

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Job Description

Área:Marketing Services Development
Subárea:Targeting/EDQ

Como será o seu dia a dia?

•  Irá atuar em uma squad, participando efetivamente de cerimonias, discussões, apoio nas tomadas de decisões e resolução de conflitos;
• Irá atuar na co-criação de novas soluções em conjunto com nosso time de produtos;
• Será responsável por assegurar a qualidade e segurança do software entregue;
• Comunicar o design de uma forma que os outros membros da equipe compreendam;
• Integrar o sistema com os novos componentes de software produzidos ou alterados.

Quais serão suas principais entregas?

• Desenvolver softwares para atendimento das necessidades internas;
• Atuar na manutenção de soluções existentes e propor melhorias nas mesmas;
• Participar de discussões técnicas para criar softwares de alta qualidade e alto desempenho;
• Ajudar na concepção e arquitetura das aplicações de software;
• Implementar as melhores práticas técnicas com qualidade e segurança;
• Realizar testes unitários, teste funcionais e automação de testes das soluções desenvolvidas;
• Seguir as orientações da arquitetura de referência;
• Promover boas práticas e aprendizado contínuo;
• Documentar os projetos de software;
• Reutilização de componentes.

Qualifications

O que estamos buscando em você!

• Experiência e conhecimentos avançados em Java;
• Experiência na arquitetura de micro-serviços;
• Experiência na Stack Spring (Spring Framework 4.0+, SpringBoot, Spring Data, etc);
• Experiência com bancos de dados relacionais (Postgres e MySQL);
• Experiência com soluções e recursos AWS;
• Experiência com Maven;
• Experiência em controle de versionamento com Git;
• Experiência com filas;
• Experiência com CI/CD (Jenkins);
• Conhecimento de testes automatizados;
• Conhecimento em Veracode;
• Conhecimento/Experiência com frameworks ágeis (Scrum, Kanban, Lean);
• Familiaridade com containerização (Docker, Kubbernets);
• Familiaridade com monitoramento (Grafana, Kibana);
• Familiaridade com desenvolvimento responsivo;
• Boa comunicação escrita e verbal;
• Pessoa antenada às novidades da área, curiosa e responsável.

Desejável conhecimento em:

• Ferramentas/soluções para Marketing;
• Bancos de dados NOSQL (MongoDB e Elasticsearch);
• Spark e/ou Scala 2;
• Hadoop (HDFS, MapReduce, Spark, Hive, Hbase);

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Job Description

The Systems Administrator Senior will be responsible for documentation, deployment and troubleshooting of the complete IT Unix environment including, but not limited to: AIX, Red Hat Enterprise Linux, SuSE Linux Enterprise Server. Core competencies include but are not limited to: Linux and AIX operating systems, x86 hypervisors, scripting-automation, and x86 hardware solutions, IBM P series hardware, Ansible, Patching, Security Hardening.

Work with a team of Unix engineers, acts as Subject Matter Expert for area of responsibility and provide support for Experian Unix Environment, including BAU OS support tickets, incidents, vulnerability remediation, compute and storage changes. Follow change management process. Liaison to other teams within the department for expert advice in the area of servers, high availability, security, virtualization and operating systems technology.

Summary of Primary Responsibilities

• Leads and-or participates in the design, development, and implementation of complex system engineering activities involving cross-functional technical support, systems programming and data center capabilities.
• Responsible for components of highly complex engineering and-or analytical tasks and activities
• Viewed as a technology subject matter expert; able to provide and communicate complex technology solutions across differing audiences including technical, managerial, business executives, and-or vendors
• Will have responsibility for multiple, complex projects.

Qualifications

• Information Technology degree and-or technology certifications preferred or substantial equivalent experience.
• 5-8 years of systems engineering experience
• Strong customer and communication skills to interact with team members, customers, vendors and leadership team.
• Senior level Experience with Redhat Linux OS
• Senior level Experience with SUSE Linux
• Advanced Shell scripting and IaC automation skills with Ansible and Terraform
• Familiarity with tools like BladeLogic, DNT, ESM, vsphere client is a huge plus
• Experience with IBM AIX OS is desired.
• Familiarity with pSeries AIX server models, HMC Consoles
• Familiarity with AIX, VIO, microcode, and firmware upgrades
• Ability to lead projects and be a leader on distributed team
• Knowledge of AWS is desired
• Provide Operating System technical and break-fix level support
• Strong Experience in RedHat Linux administration on RHEL6, RHEL7, RHEL8, RedHat Clustering, VMware and ESX
• Ability to handle multiple tasks and adapt to a constantly changing environment
• Knowledge of SAN based disk solutions and their configurations
• Ability to work independently but also must be strong in team partnership
• Work a flexible schedule, with 24 hour oncall pager and weekend overnight work expected
• Strong verbal and written communication skills. Excellent organization skills

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Job Description

The Senior ML Engineer is primarily responsible for high-quality Python and SQL scripts needed to bring machine learning solutions to life. As a key team member, you will work with 1-3 other developers and engineers to gather project requirements, collaborate on solution design and strategy, identify essential architectural components, organize tasks, and contribute directly to all parts of the codebase. As a senior member of a highly professional team, you will work on all aspects of the project lifecycle encompassing everything from data discovery to performance monitoring and executive communications.

Responsibilities:

• Organize project tasks, requirements, documentation and progress through Jira and Confluence.
• Work with stakeholders to gather requirements, communicate status and share insights.
• Build high-quality Tableau dashboards to help end users engage with model output and understand recommendations.
• Perform data discovery and analysis to explore and define new use cases.
• Use applied mathematics and quantitative skills as needed for modeling tasks, impact analysis, scenario planning, forecasting etc.
• Develop, train, and deploy statistical and machine learning models for revenue, campaign optimization, customer LTV, click propensity, action sequencing, personalization, and segmentation.
• Maintain an organized code base using GitHub, Jira and Confluence.
• Develop solution modules and subsystems for preprocessing, measurement, drift, error handling, and anomaly detection.
• Develop data pipelines by creating efficient data models, writing high-quality ETL/SQL, building Alteryx workflows, managing tickets, and collaborating with partners.

Qualifications

• High proficiency in Python with 5+ years of development experience in modeling or data engineering
• Excellent knowledge of SQL with 5+ years of experience in database and data validation
• Working knowledge of Tableau with 2+ years of experience using BI tools for analysis and presentation
• Working knowledge of Alteryx
• Hands-on experience with deep learning architecture, e.g. transformers, LSTMs and convolutions
• 2+ years of experience working with DL frameworks like PyTorch and Tensorflow
• Wide familiarity and experience with statistical and mathematical concepts, esp. probability, systems of equations (LA), and optimization theory
• Firm understanding of model containerization with some experience using Docker
• Familiarity with the AWS ecosystem preferred: Redshift, S3, EC2, Sagemaker and Lambda
• Strong track record communicating with partners and stakeholders at all levels
• Independent, organized, accountable and proactive

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Job Description

Área: DA-Regions
Subárea: Governance & Risk Management

Nós construímos soluções para melhoria de nossos produtos através das técnicas de análise de dados, descoberta de conhecimento, business intelligence e modelos de machine learning para a prevenção de fraudes dos nossos produtos.

Quais serão suas principais entregas?

• Criação e manutenção de pipeline de dados para o Lakehouse;
• Análise e visualização de dados para Business Intelligence;
• Criação e implantação de modelos de Machine Learning;
• Processamento distribuído utilizando ferramentas de Big Data.

Qualifications

O que estamos buscando em você!

• Experiência de programação, principalmento com Pyhton;
• Conhecimento em estrutura de dados, algoritmos, orientação à objetos e padrões de projeto;
• Experiência com bancos NoSQL;
• Experiência com ferramentas de processamento de streaming;
• Experiência com Airflow ou outra ferramenta de workflow;
• Experiência com AWS (EMR, SageMaker, Athena, Glue, S3);
• Experiência com Spark;
• Experiência com TensorFlow;
• Experiência com Linux, Git e Docker;
• Inglês intermediário.

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Job Description

​​​​​​​We are seeking a dynamic individual to join our team as a Fullstack Software Engineer, where you'll play a pivotal role in crafting and enhancing our customer-facing products, elevating the shopping experience to new heights. You'll be at the forefront of innovation, collaborating closely with software engineers, product owners, and UI/UX designers to deliver end-to-end solutions that exceed expectations. If you're passionate about building scalable, high-performance applications and thrive in a collaborative, agile environment, we want to hear from you.

• Design, implement, and maintain customer-facing products to enhance the shopping journey
• Enhance custom tooling and libraries to streamline development processes
• Collaborate with software engineers, product owners, and UI/UX designers to deliver end-to-end solutions
• Passion for crafting solutions that exceed customer expectations
• Promote knowledge sharing and mentorship, fostering a collaborative team environment
• Solve problems with an agile mindset and full-stack approach

Specialization in Frontend:

• Develop mobile-first, user-centric frontend applications prioritizing search engine visibility and performance
• Build robust, maintainable frontend applications and REST interfaces
• Proficiency in React or similar declarative UI frameworks

Specialization in Backend:

• Architect and develop microservices and self-contained applications
• Foster a polyglot persistence environment focusing on scalability and cloud readiness
• Utilize event-driven and hexagonal architectures

Qualifications

• Experience designing and implementing customer-facing products
• Strong collaboration skills with software engineers, product owners, and UI/UX designers
• Proficiency in agile methodologies
• Ability to thrive in a collaborative, agile environment
• Proficiency in frontend development
• Experience with React or similar frameworks
• Familiarity with AWS or other cloud environments

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Job Description

We are seeking a highly skilled and experienced Senior Oracle Data Integration Engineer to join our dynamic IT team. The successful candidate will be responsible for designing, developing, integrating, and maintaining Oracle database solutionsto support our client's organization's critical business applications.

The Senior Oracle Data Engineer will collaborate with cross-functional teams to analyze requirements, design efficient integration solutions, database structures, write complex SQL queries, optimize performance, and ensure data integrity. This role requires strong technical expertise in Oracle database development especially around data integrations with other systems, excellent problem-solving skills, and the ability to work independently as well as part of a team.

Responsibilities:

• Collaborate with business analysts and stakeholders to understand application requirements and translate them into efficient database designs and integration solutions.
• Write complex SQL queries, stored procedures, ETL’s, functions, triggers, and packages to implement business logic. Optimize database performance by analyzing query execution plans, indexing strategies, and tuning SQL statements.
• Ensure data integrity and security by implementing appropriate data validation rules and access controls.
• Perform database migrations, upgrades, and patching as required.
• Develop and maintain technical documentation including data models, schema diagrams, and standard operating procedures.
• Stay up to date with the latest Oracle technologies and best practices.
• Review and validate solution design and ensure it covers all the technical aspects. 
• Coordinate with the offshore teams on the development activities and participate in solution design discussions.

Qualifications

IMPORTANT: This opportunity is available only for candidates located in Central and South America.This is a Nearshore position (offshore candidates will not be considered).
 

• Proven experience as an Oracle data engineer/developer or similar role. Implementing Rest web services to fetch and push data.
• Experience dealing with large data and developing complex application and have understanding creating data model, DDL and using Oracle Database 19c.
• Experience with data warehousing/data lake and ETL processes.
• Evaluate and validate solution interfaces, integration points and dependencies.
• Liaising with the engineering team for project completion, Reviewing ongoing operations and rectifying any issues.
• Understanding project requirements and developing detailed structure.
• Implementing best practices and coding standards
• Proficiency in performance tuning techniques and query optimization
• Advanced written and spoken English.
   
• Technologies: REST API’s, PL SQL,  Oracle APEX, Microsoft Azure, OCI, AWS, Node JS, JavaScript, CSS, HTML, JQUERY and AJAX.

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Job Description

The AI Engineer position will be responsible to shape, create and integrate AI solutions with particular focus on Natural Language Processing, Large Language Models and Multi-Modal Generative AI. The candidate will be working alongside other members of the CoE, Divisional Colleagues and Data Engineering teams to further drive AI development and innovation. The AI Engineer will work closely with data scientists, delivery leads, product managers, content matter experts, and technology teams to develop, automate and scale-up advanced AI solutions to address key customer problems whilst also helping to develop methodologies and reusable solutions.

As the CoE AI Engineer, you will be responsible for providing technical expertise and leadership across all aspects of AI engineering process, from data acquisition, tagging, embedding, protection and storage.

Your Role:

• Prepare and preprocess data to ensure it is ready for use by machine learning models and AI solutions. Work with a variety of data types including PDFs, Word documents, Excel files, HTML, audio, video, and text, as well as various databases.
• Build LLM applications including RAG applications, fine tuning LLMs and embedding models, agent/reasoning applications.
• Deploy LLM applications to cloud infrastructure (on AWS is plus)
• Manage production-grade LLM application involving RAG evaluation and improvements (RAGAS, advanced retrieval techniques), monitoring and visibility tooling and scaling LLM applications (Amazon SageMaker)
• Stay Current with Emerging Technologies: Keep up-to-date with the latest developments in data engineering, machine learning, and AI technologies to continually enhance data capabilities.

Qualifications

• Strong understanding and hands-on experience in various ML techniques and algorithms, including RAG, fine-tuning models and working with large language models.
• Mastery in Langchain and Python programming languages, essential for AI development and data manipulation tasks.
• Proficiency in handling and processing large datasets, ensuring data quality and accessibility, including expertise in vectorized datasets. Experience with Data Integration Tools: Proficiency in ETL/ELT tools and practices.
• Competency in deploying and managing AI solutions on AWS cloud infrastructure. Experience with containerization technologies like Docker.
• Understanding and application of MLOps practices for efficient model lifecycle management.
• Knowledge of data security and privacy practices.
• Effective problem-solving skills to address challenges encountered in AI development projects.
• Strong collaboration and communication skills for effective teamwork and conveying technical concepts clearly to stakeholders.
• Knowledge and experience in MarTech preferred, applied in AI development projects.
• Willingness to continuously learn and adapt to new technologies and methodologies in AI and data engineering.

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Job Description

In a nutshell

As a Senior Devops Engineer, you will join a challenging and unique large-scale Transformation Program with high impact and visibility. Your primary focus will be  the engineering, configuration, installation, and maintenance of public and private cloud, Linux OS and CI/CD; in addition to code maintenance. 

Where will you be based and what business will you support?

Based in Barcelona; you will support project engineering functions within EMEA Infrastructure for the Agroscience, Pharma, Genomic Services and Technologies Business Units

How can you help us? 

You will:

Deliver insights and guidance as we design, build, and operate a state-of-the-art multi-cloud “greenfield” infrastructure by bringing ideas and solutions through an informed viewpoint, as you collaborate with a cross-functional team to develop real-world IT service.

Your primary focus will be:

• To build, configure and operate Google Cloud Platform (GCP) plus Google Cloud VMware Engine (GCVE), Containers and Kubernetes Clusters (GKE) as code.
• To Design, build and maintain CICD pipelines, GitFlow, orchestration, etc.
• To research, evaluate and recommend resources for the CI/CD platform and GCP.
• To develop, debug, improve and/or code refactoring to deliver infrastructure (Terraform) and configuration (Ansible) lifecycle, automation and innovation initiatives, ability to drive automation initiatives independent of automation tools.
• Image management as code using Packer.
• To develop and implement agile and scalable infrastructure solutions, with advanced monitoring and alerting, while establishing best practice tools, frameworks, and processes
• To perform daily system checks, verifying the integrity and availability of development, testing, staging, and production environments.
• To identify, diagnose, and resolve connection, reliability, or performance issues.
• To contact vendor technical support for Priority 1 incidents and requests.

Your additional focus areas will be:

• Specific Azure DevOps experience is a plus.
• Team members are expected to grow their expertise in other systems engineer areas to provide support for the entire IT infrastructure landscape through formal training, job shadowing, service transition and documentation.
• Evaluate, recommend, manage, and operate compute and storage resources on Cloud and CI/CD platforms.

Core IT Infrastructure Technology / Engineering Duties:

• Partner with other infrastructure Team Members to learn, develop and enhance the skills needed to support software-based infrastructure.
• Ensure that IT Services are delivered effectively to business customers. This includes the execution of SOPs (Standard Operating Procedures), management of IT Incidents/Problems and IT Changes as per well-defined ITIL processes, as implemented in the ITSM system (ServiceNow)
• Contribute to the reference documents to establish consistency and shared knowledge of Operations best practices and delivery methods.
• Deliver quality documentation allowing smooth day-to-day operations.
• Perform system monitoring, verifying the integrity and availability of infrastructure resources; Ensure that performance, scalability, and security is maintained and optimized.
• Identify opportunities to innovate, extend and enhance service delivery wherever possible.
• Participate in disaster recovery plans and practicing recovery operations.
• Consult with senior peers to learn through experience.
• Partner with key vendors to maintain an understanding of modern technology and leading practices.
• Cooperate closely with other Zone / Regional / Group IT Infra resources.
• Provide after-hours on-call support (rotation) and participate with solution implementation (upgrades, new releases, …), patching and deployment activities after hours as needed.

Qualifications

Are you our kind of extraordinary?

You have:

• A Bachelor's degree in computer science / comparable fields or equivalent working experience
• Minimum 3-7 years of experience working with: Google Cloud Platform environments, building and managing CI/CD pipelines (AzDO), developing Terraform code, and Linux Servers (RHEL and/or Ubuntu).
• Minimum 1-3 years of experience working with: Ansible, Packer, managing containers and Kubernetes Clusters.

What else should I know? 

Certifications in any of the following or similar technologies are a plus:

• Google Cloud, Azure, AWS, Hashicorp Terraform, and Linux (RHEL and/or Ubuntu).
• ITIL Foundation      

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