Technology & Infrastructure Internship Job at Hewlett Packard Enterprise (Santiago)

Technology - Infrastructure, Summer Analyst

The 10-week Summer Analyst Program starts in mid-June with an in-depth education...

Location

Hungary , Budapest

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Have active Hungarian student ID
Be graduating between Dec 2026 and July 2027
Pursuing bachelor’s or master’s degree in Computer Science, Computer Engineering, Information Technology, Management Information Systems, or other tech related degree
Have Hungarian language knowledge
Have an interest working in a high-tech global technology environment and have the basic understanding of technologies, including by not limited to programing languages (C++, Java, etc.), application development, or basic concepts of relational databases
Understand the fundamentals of cybersecurity - if you prefer that track
Be a problem solver who thrives on innovation and enjoys tackling challenges head-on
Possess a global outlook and a willingness to collaborate across cultures and time zones
Have excellent communication skills, project management, leadership, attention to detail, and the ability to work well within diverse teams
Ability to pass technical interviews consisting of basic algorithmic programming exercises

Job Responsibility

Infrastructure Management: Design, implement, and maintain physical infrastructure components, including data centers, server rooms, and associated hardware
Ensure the stability, availability, and performance of all technology infrastructure
Manage capacity planning and growth for computing and storage resources
Network Operations: Oversee the design, deployment, and ongoing operation of global network connectivity
Monitor network performance, troubleshoot issues, and implement solutions to optimize network efficiency and security
Manage network devices, protocols, and services
Computing and Platform Management: Administer and support various operating systems (e.g., Unix/Linux, Windows) and virtualization platforms
Manage cloud infrastructure (IaaS, PaaS) and related services, if applicable
Ensure proper configuration, patching, and security hardening of servers and computing environments

What we offer

Global Exposure: Work in globally scoped projects with cross-functional teams and gain insights into how technology drives the financial sector worldwide
Continuous Learning: Benefit from structured learning, networking, mentoring, and development programs that are designed to sharpen your technical prowess, enhance your business insight, and cultivate your leadership skills
Real Impact: Contribute to real-world projects that shape the future of banking, from developing next-gen digital banking solutions to enhancing our cybersecurity defenses and driving data-powered innovations
Successful candidates will be offered a competitive salary

Fulltime

New

Internship - Tui Technology

Location

Belgium , Brussels

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Current Student: Currently pursuing a university degree in Computer Science, Software Engineering, or a related technical field
Programming Skills: Solid foundational knowledge of Python (OOP concepts, data structures)
Testing Curiosity: A strong interest in Quality Assurance, software testing methodologies, and automation
Tech-Savvy / AI Enthusiast: Interest or experience in utilizing AI-assisted coding tools (like Amazon Q) to optimize development workflows

Job Responsibility

Sprint & Release Testing: Participate actively in Release Testing at the end of every sprint to ensure new features meet quality standards
Execute manual test cases, log defects with clear steps to reproduce, and verify bug fixes
Collaborate with the development and QA teams to understand sprint requirements and identify potential edge cases
Test Automation & AI Acceleration: Design, develop, and maintain automated test scripts for our core user scenarios
Work closely with the automation team to expand our test coverage using Playwright and Python
Leverage Amazon Q and Kiro to accelerate script generation, optimize test workflows, and rapidly debug failing test suites
Review automated test execution results, identify flaky tests, and assist in maintaining the automation codebase
Cloud & Infrastructure: Gain exposure to testing software deployed on an AWS stack
Monitor cloud-based application logs and environments during testing cycles to troubleshoot issues

What we offer

Internal online and offline training through our own learning platform TUI People Learning, as well as through GoodHabitz or Bookboon
Experience the inner workings of a dynamic and international corporate organisation
NMBS / De Lijn season ticket for the period of your internship
Flexible working: flexible hours and possibility of working from home, always in agreement with your TUI mentor

Fulltime

Internship within Commodity Management for IT Infrastructure

The internship covers three main learning areas: IT Demand Management and Standa...

Location

Germany , Taufkirchen/Ottobrunn

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Enrolled full time student (d/f/m) within Economics, Business Administration, Information Technology, Industrial Engineering or similar field of study
Very good Google Workspace and MS Office knowledge
Discretion mandatory - strong focus on accuracy
Fluency in English is mandatory

Job Responsibility

Assisting in the identification and gathering of purchasing potentials
Support and launch RFI (Request for Information) /RFP (Request for Proposal) events (via the Airbus DS procurement tool) and follow up the ordering process
Preparation of negotiation results and supplier proposals
Assisting in the creation of the respective commodity- and supplier strategies
Special tasks. e.g. project tasks to support team leaders

What we offer

Attractive salary and work-life balance with a 35-hour week (flexitime)
A final thesis is possible after consultation with the department
International environment with the opportunity to network globally
Work with modern/diversified technologies
At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings
Opportunity to participate in the Generation Airbus Community to expand your own network

Fulltime

New

Sr. Lead Software Engineer

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

India , Bengaluru

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering or Computer Science
At least 12 years of experience building back-end services (Including but not limited to: Java, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply)
At least 2 years of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply)
At least 3 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply)
At least 2 years of experience with a UI framework (Including but not limited to: Angular, Vue, React) (Internship experience does not apply)
At least 4 years of experience designing, building, and testing distributed systems (Internship experience does not apply)
At least 3 years of experience in a technical leadership role overseeing strategic projects.

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives
Implement software in unambiguous and uncomplicated domains with little to no support, while effectively combining standards and practices to implement more complex software
Implement a new, fully featured local build and deployment pipeline, while identifying improvements and making enhancements to established deployment pipelines
Troubleshooting the most complicated issues with local builds and deployment pipelines
Familiarity with many modern application architecture and design patterns, with the ability to leverage them in moderately complex domains
Teach others architecture and design patterns and how and when to apply them
Debug moderately complex issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production and across distributed systems

Fulltime

New

Sr. Lead Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

What we offer

performance based incentive compensation
cash bonus(es)
long term incentives (LTI)
health, financial and other benefits

Fulltime

Government Affairs Internship

Microsoft is looking for a Policy Coordinator to support their Brussels-based Eu...

Location

Belgium , Brussels

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Work experience through previous internships in fast-paced environments, experience in public affairs consultancies or EU institutions will be preferred
Degree in law, political science, international relations, philosophy, or a related social science
Knowledge of European institutions, governance, legislative processes, and networks
Project management skills. Excellent planning, organizational, networking and communication skills and strong attention to details
Ability to work well in a changing environment, and to prioritise competing demands on time, while ensuring deadlines are met
Adaptable team-player with a positive and friendly mindset
Keen interest in European and international politics, and technology policy
Fluency in written and spoken English
other European languages a plus

Job Responsibility

Political, policy and regulatory analysis: monitor, analyze and report on emerging public policy issues on European cloud, infrastructure and tech sovereignty policy with a focus on sovereign cloud & AI infrastructure, digital networks, including telecom and subsea cable infrastructure, and quantum computing
Coordinate internal stakeholders’ input particularly on cloud sovereignty and digital infrastructure
Strategic planning: Stakeholder mapping to build relationships with present and incoming stakeholders in the EU institutions in identified key areas of policy cooperation and provide continuous support to the team in building internal strategy and planning to address and take advantage of engagement opportunities at the national and EU level
Project management and event organization: support in coordinating high-level political engagements and Microsoft executive visits and preparing materials for executives’ engagement in Brussels
Actively support and coordinate event management in collaboration with relevant internal and external stakeholders, including European institutions, think tanks, or trade associations
Attend relevant external events and meetings and provide summaries/analyses
Research and writing: support campaigning and senior staff with relevant research, by editing documents or developing support materials (e.g., briefing documents, conference support, decks, talking points)

Lead Machine Learning Engineer

Lead Machine Learning Engineer At Capital One, we are changing banking for good...

Location

United States , Cambridge, Massachusetts; Richmond, Virginia; McLean, Virginia

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Job Responsibility

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI
Fine-tune, develop and evaluate machine learning and foundation models
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One
Leverage a broad stack of Open Source and SaaS AI technologies
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues
Retrain, maintain, and monitor models in production
Construct optimized data pipelines to feed ML models
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

What we offer

Performance based incentive compensation
cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Lead Software Engineer, Messaging Dispatch

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean, Virginia; New York, New York

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and guide a team of developers with deep experience in distributed microservices and full stack systems to create solutions
Collaborate with digital product managers to design and deliver robust cloud-based solutions that drive powerful, personalized experiences to help millions of Americans achieve financial empowerment
Direct the design, development, testing, and implementation of technical solutions using AI technologies, large language models (LLMs), and cloud infrastructure, ensuring sound data design practices are applied
Leverage a diverse technical stack including Java, JavaScript, Python, and Go, alongside modern cloud infrastructure, and advanced AWS ecosystems to deliver high-performance software solutions
Champion the growth of our engineering community through active mentorship, while driving excellence in delivery by conducting rigorous code reviews to ensure technical solutions are performant and maintainable

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

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