Software Engineer - Backend jobs at Booking in Netherlands, Amsterdam

As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale.

Important aspects of the job can include:

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
• Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
• Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

We have found that people who match the following requirements are the ones who fit us best:

• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints.
• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration.
• Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production.
• 7+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave.
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country).
• A beautiful sustainable, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office.
• Commuting allowance and bike reimbursement scheme.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale.

Important aspects of the job can include:

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
• Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
• Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

We have found that people who match the following requirements are the ones who fit us best:

• 3+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.
• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints.
• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration.
• Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave.
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country).
• A beautiful sustainable, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office.
• Commuting allowance and bike reimbursement scheme.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Key Responsibilities

• Business Acumen:
• Maintain a fundamental understanding of the Booking.com business, industry news and risk best practices and apply that knowledge in the context of your core areas of responsibility.
• Critical Thinking:
• Identify and design solutions in a wide range of situations, and proactively propose concrete improvement plans.
• Objective Setting, Prioritization & Task Management:
• Independently structure and execute work, decide on priority areas and output fitting the overarching objectives and priorities. Deliver in line within agreed timelines and escalate issues to the appropriate level and roles within the organization where needed.
• Attention to Detail:
• Produce high quality, accurate output across a broad range of topics, with limited review and oversight required.
• Result Orientation:
• Work independently and proactively to deliver the right results for specific objectives and deliverables in line with personal and company values whilst influencing stakeholders in order to meet timelines and prioritize critical activities.
• Effective Communication & Presentation Skills:
• Effectively and clearly communicate and present information relating to core responsibilities, tailor messages and explain (technical) concepts to stakeholders.
• Facilitate cross-functional discussions.
• Organize and run larger meetings in a clear, structured and outcome-oriented manner.
• Stakeholder Management & Influencing:
• Independently identify, develop and grow relationships with key stakeholders to build and maintain a wide network within the coverage area, mostly at mid-level but also including key senior stakeholders for a bilateral flow of information.
• Align with stakeholders on impact beyond their team, respectfully challenging and influencing others to assume appropriate roles and responsibilities by adopting stakeholder management and influencing techniques.
• Confidently and independently navigate tricky discussions, incorporating Manager input around escalations, approach or blockers where needed.
• People Management:
• Provide constructive feedback to peers and incorporate received feedback into personal development goals.
• May provide mentoring and task oversight to more junior staff or external consultants.
• Support hiring process.
• Operational & Technical Expertise:
• Apply a comprehensive understanding to processes, systems and/or products within your coverage area.
• Display general understanding of the impact on the wider process and/or system landscape.
• Seek manager input for in-depth expertise.
• Risk Landscape Awareness:
• Maintain awareness or knowledge of the broader internal risk landscape across one or more business areas as well as external developments.
• Adopt a business need centric and user friendly approach to influence business stakeholders to take informed decisions in line with the risk capacity, risk appetite and risk tolerance of Booking.com.
• Risk & Governance Advisory:
• Provide input to the development of methodologies throughout the risk management lifecycle.
• Advice stakeholders in ongoing risk and compliance work within your dedicated area(s).
• Risk Identification & Assessment:
• Identify and appropriately assess risks in line with the team's frameworks and methodologies.
• Document risk assessment outcomes, including clear description of the risk, perceived level of risk and considerations for risk treatment, tailored to the topic at hand, with limited guidance and review required.
• Risk Treatment:
• Independently support control design and/or assurance activities and work with control owners to prepare controls for approval.
• Coordinate audit activities including support to close any control deficiencies identified.
• Work across teams/projects/BUs and ensure risks are appropriately mitigated.
• Develop, select and implement risk treatment strategies, proposing alternative risk treatment options where needed.

Communication.Stakeholder

• Process/Control owners (combination of directors, managers, team leaders and individual contributors)
• Subject Matters Experts (SME's) e.g. Finance, Fintech, Fraud, Legal, Security, etc.
• Other Internal stakeholders in Accommodations (i.a. CS, PS, Product), Trips, Finance, FinTech, Legal, Marketing, People, Strategy and Corporate Development and Technology (i.a. Security, Infrastructure)
• Internal & External Audit
• Risk & Control team

Communication.Type

• Persuasion / CooperationPartner with business stakeholders by: providing guidance and support in ongoing compliance;providing guidance and support in identifying risks and control gaps and, designing and implementing appropriate controls;providing clear instructions on expected stakeholder contributions and ensure follow up;facilitating and participating in cross functional groups for activities related to the risk management lifecycle;presenting and advising on standardized methodologies, processes and documentation;maintaining a business centric approach.
• Information and CooperationInform SMEs on:risk areas in need of SME input;control design and implementation;work closely together to share knowledge and experience.
• CooperationWork closely together to share knowledge and experience.
• Cooperation Support Internal and External audit teams to ensure that remediation plans are implemented on a timely basis for any deficiencies foundSupport SOX, PCI and other audit cycles
• Information and CooperationWork closely together to share knowledge and experience.

Communication.Frequency

• Continuous
• Continuous
• Continuous
• Continuous
• Continuous

Level of Education.Level of Education

• Bachelor degree
• Master degree

Level of Education.Description

• Alternatively compensating years of experience (3 to 5 years in addition to below)
• Preferred

Years of relevant Job Knowledge.Years of relevant Job Knowledge

• Advanced Knowledge (5 - 8 years)

Requirements of special knowledge/skills

• Qualities / Soft Skills:
• Enthusiastic, self-starting and flexible work attitude
• Ability to effectively prioritize and manage workload, work under pressure and deliver on timelines
• Handle multiple tasks, of varying and often complex content, generally at the same/similar time
• Have the ability to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time
• Strongly process, problem solving and action oriented
• Curious and proactive in the assessment and challenge of risks
• Strong team player
• Advanced communication skills and ability to actively listen
• Strong relationship building skills
• High level of integrity, confidentiality & professionalism
• Requirements of special knowledge/ Hard Skills:
• Advanced (technical) understanding of and experience with Risk Management, Compliance, Internal controls , control procedures, automation, monitoring, testing, collecting evidence and remediation activities
• Experience with large e-commerce or tech companies is advantageous
• Fluent in English, both written and spoken
• CISSP, CRISC, CISM, CISA, or similar certification is advantageous
• Project management skills
• Stakeholder management skills
• For Business Officer functions:
• Advanced understanding of and experience with risk management relevant fields, for example but not limited to:
• Business analysis
• Auditing
• Corporate governance
• Finance concepts and processes
• SOx integration
• AML/ CFT framework, GDPR, PCI, SOx
• Fundamental understanding of below IT expertise fields.
• For IT Officer functions:
• Advanced understanding of and experience with risk management relevant fields, for example but not limited to:
• IT Risk management and IT Governance
• IT Security concepts and processes
• (IT) Frameworks like ITGC, COSO, NIST
• DevOps tools like Puppet, Jenkins, Git, Docker, or Kubernetes
• JIRA
• Fundamental understanding of above Business expertise fields.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

• Design, develop and implement systems software that improves the stability, scalability, availability and latency of the products;
• Take ownership of one or more services and have the freedom to do what is best for our business and customers;
• Solve problems occurring with our highly available production systems and build solutions and automation to prevent them from happening again;
• Build effective monitoring to monitor the health of your system, and jump in to handle outages;
• Build and run capacity tests to manage the growth of your systems;
• Plan for reliability by designing systems to work across our multinational data centers;
• Be an advocate of engineering best practices;
• Share the on-call rotation and be an escalation contact for incidents;
• Contribute to 's growth through interviewing, on-boarding, or other recruitment efforts.

• Solid experience in at least one programming language: Java, Go, Python, Perl;
• Knowledge of Observability Domain, and experience in building monitoring / observability solutions, using OpenTelemetry, Prometheus, Graphite, Grafana, Loki, HoneyComb is desirable;
• Experience with building, operating and maintaining scalable distributed systems, and with operations automation;
• Experience with Infrastructure as Code technologies;
• Knowledge of cloud computing fundamentals;
• Solid foundation in Linux administration and troubleshooting;
• Understanding of Service level agreements and objectives;
• Additional experience in OpenStack, Kubernetes, Networking, Security or Storage are a plus;
• Good interpersonal skills
• Proficient command of the English language, both written and spoken.

: Global Impact, Personal Relevance

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
• A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office*
• Commuting allowance and bike reimbursement scheme
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
• Free access to online learning platforms, development and mentorship programs
• Global Employee Assistance Program, free Headspace membership

Inclusion has

Application Process:

This section should provide:

• Let’s go places together:
• Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.
• Availability of relocation, relocation benefits, or partner benefits, as required.

("python" OR "java" OR "nodejs" OR "node.js" OR "Go" OR "Golang") AND ("prometheus" OR "grafana" OR "terraform" OR "graphite" OR "newrelic" OR "new relic" OR "kubernates") AND ("sli" OR "slo" OR "service level indicator" OR "service level objective" OR "observability" OR "monitoring") AND ("linux") AND ("AWS")

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Role Description:

You’ll work with top notch engineers and machine learning scientists on bringing it to the next level and enabling optimal user experience while having a significant impact on the business. The work will focus on data and ML foundations for reusable training, optimization and deploying causal machine learning models.

Key Job Responsibilities and Duties:

• Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.

• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance

• Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.

• Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.

• Minimum of 5 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.

• Strong programming skills in Python (Additional knowledge in Java, Perl and Scala are an advantage) .

• Experience with cloud frameworks like AWS sagemaker and training models such as using TensorFlow, PyTorch, lightgbm or scikit-learn.

• Experience with data at scale using MySQL, Pyspark, Airflow, Snowflake and similar frameworks.

• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, matplotlib and BI tools.

• Proficient knowledge of machine learning algorithms, statistical models, optimization and data structures.

• Experience with experimental design, causal inference, A/B testing, and evaluation metrics for ML models.

• Experience of working on products that impact a large customer base is an advantage

• Excellent communication in English; written and spoken

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Key Job Responsibilities and Duties:

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines;

• Solving issues with data and data pipelines, prioritizing based on customer impact, and building solutions that prevent them from happening again (root cause);

• End-to-end ownership of data quality in our core datasets and data pipelines;

• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality;

• Providing tools that enhance Data Quality company wide;

• Developing integrations between multiple applications and services, both on premise and in the cloud;

• Contributing to self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise;

• Building effective monitoring of data, and jumping in to handle outages.

• Responsible for technical implementation and maintenance of data processing services and storage systems in line with the Data Governance Framework.

• Lead root cause investigations, incident response, and postmortem documentation for reliability and process improvement.

Qualifications & Skills:

• Bachelor degree or equivalent
• 1 - 3 years experience in similar role

• Software Systems Design

  • Evaluate possible architecture solutions by taking into account cost, business requirements, technology requirements and emerging technologies

  • Describe the implications of changing an existing system or adding a new system to a specific area, by having a broad, high-level understanding of the infrastructure and architecture of our systems

  • Help grow the business and/or accelerate software development by applying engineering techniques (e.g. prototyping, spiking and vendor evaluation) and standards

  • Meet business needs by designing solutions that meet current requirements and are adaptable for future enhancements

• Critical Thinking

  • Find solutions to difficult or complex issues by applying different skills and techniques like analytical thinking, lateral thinking, and logical reasoning

  • Constructively improve existing ideas, plans and solutions by reviewing them in a critical yet constructive manner, initiating concrete improvements and articulating their rationale

  • Continuous Quality and Process Improvement

  • Identify opportunities for process, system and/or structural improvements, by applying an understanding of process flows and the methods that can be used to boost effectiveness and efficiency

• End to End System Ownership

  • Own a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and act accordingly when violated

  • Reduce business continuity risks and bus factor by applying state-of-the-art practices and tools, and writing the appropriate documentation such as runbooks and OpDocs

  • Reduce risk and obtain customer feedback by using continuous delivery and experimentation frameworks

  • Independently manage an application or service by working through deployment and operations in production

• Effective Communication

  • Deliver clear, well-structured, and meaningful information to a target audience by using suitable communication mediums and language tailored to the audience

  • Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening

  • Ask relevant (follow-up) questions to properly engage with the speaker and really understand what they are saying, by applying listening and reflection techniques

• Technical Stack Qualifications

  • 1-3 years of experience with data at scale, using Kafka, Spark, Hadoop/YARN, MySQL, Airflow, Snowflake, S3 and Kubernetes

  • Solid working experience working with Data engineering platforms involving PySpark, Python or other equivalent scripting languages

  • Proven experience building data pipeline solutions based on public cloud providers such as Snowflake, AWS

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

• Let’s go places together:

• Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

As a Data Engineer I in Booking.com’s Growth Marketing department, you’ll help develop the data infrastructure that powers our global marketing programs, from messaging and app campaigns to digital performance advertising and optimization. This is a hands-on engineering role focused on building, maintaining, and evolving reliable and privacy-compliant data pipelines that drive measurement, personalization, and automation.

• Develop and maintain real-time and batch data pipelines that power internal decision-making and automated marketing actions

• Follow standard design patterns and governance requirements to build scalable and privacy-safe data flows

• Translate moderately complex business requirements into reliable data solutions with support from senior team members

• Write clean, maintainable, and reusable code using standard libraries and practices

• Connect and enrich datasets across systems to improve observability, targeting, and performance measurement

• Support the ingestion and transformation of event-level and customer-level data into analytical and operational stores (e.g., Snowflake, Kafka, Hive)

• Monitor system performance and data quality; help identify bottlenecks or failures that could impact campaign accuracy

• Participate in team incident reviews and learn from issues to improve overall system resilience

• Know the latest about data engineering best practices and continuously evolve your craft

• A Bachelor’s degree in Computer Science, Engineering, or a related field, or demonstrated hands-on experience that showcases your technical skills and passion for data engineering.

• A solid foundation with 1–3 years of experience in data engineering or backend engineering, showcasing your ability to drive results in a technology-driven environment.

• Basic experience with one or more server-side programming languages (e.g., Python, Java, Scala, Perl)

• Exposure to modern data infrastructure such as Hadoop, Kafka, Spark, Airflow, Cassandra, MySQL, or Snowflake

• Understanding of basic data modeling concepts and best practices

• Understanding of data quality practices alongside SLAs/SLOs, enabling you to enhance our commitment to excellence.

• Strong communication skills in English and ability to work in a multi-functional setup

• Exposure to marketing or customer behavior datasets is a plus

• Familiarity with privacy-aware tracking and user identifier management

• Basic knowledge of data governance frameworks and schema evolution

• Experience contributing to code reviews, documentation, or observability dashboards

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

• Let’s go places together:

• Your recruiter will be in touch to discuss the hiring process with you and interview stages to expect

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.