AWS Cloud Engineer

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description
You will report to Software Team Manager.

What You'll Do

• Design, build, and deploy AI-powered solutions including AI agents, RAG systems, MCP servers, tool integrations, and cloud-native backend services.
• Develop robust agentic systems with effective approaches to tool usage, memory management, context handling, orchestration, reliability, and safety.
• Integrate Large Language Models into production environments while balancing quality, latency, cost, scalability, and observability.
• Build cloud-native backend services supporting AI applications and agent workflows.
• Drive technical design and implementation decisions within your area of ownership, ensuring maintainable, secure, and high-quality solutions.

Qualifications
What you'll bring:

• 5+ years of professional software development experience with Java and experience using Python for AI, automation, or data-processing workloads.
• Experience building and operating production-grade AI applications using Large Language Models.
• Hands-on experience with AI agents, agentic workflows, tool calling, function calling, multi-step orchestration, and RAG architectures.
• Experience with prompt engineering, prompt versioning, memory strategies, tool orchestration, and AI system reliability.
• Experience integrating and working with leading LLM providers such as OpenAI, Anthropic, Azure OpenAI, or similar.
• Expertise in Java backend development, microservices, distributed systems, and cloud-native architectures.
• Experience designing evaluation strategies, testing approaches, and quality measurements for non-deterministic AI systems.

We will consider any of the following abilities an advantage:

• Experience building MCP servers, AI tooling platforms, or agent infrastructure.
• Experience with AI observability and tracing platforms.
• Experience with vector databases, embeddings, and knowledge retrieval systems.
• Knowledge of AI safety, governance, security, and responsible AI practices, including mitigation of prompt injection and data leakage risks.

Additional Information
What you'll get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness
- Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Platform Engineer (SRE) based in Switzerland.
This is a senior infrastructure role at the heart of a high-scale, AI-powered sports media platform.

You will help design and operate distributed systems handling petabyte-scale media storage and millions of minutes of video every month.

The role combines deep AWS expertise, Kubernetes, infrastructure-as-code, distributed systems, developer experience, and platform reliability.

You will work as one of the core members of a lean Platform team, with significant autonomy over architecture, technical decisions, and delivery.

A major focus will be building highly available infrastructure capable of supporting critical live sports workflows across multiple regions.

You will also shape internal developer platforms, cost-efficient storage strategies, security practices, and multi-cloud capabilities.

It is an opportunity to solve complex infrastructure challenges at meaningful scale while working in a fast-moving, international, engineering-led environment.

Accountabilities

• Design, build, operate, and continuously improve AWS infrastructure across multiple regions.
• Develop and maintain Kubernetes-based infrastructure managed through Terraform, Terragrunt, and Helm, with infrastructure defined and reviewed entirely as code.
• Design and operate highly available, distributed architectures capable of supporting critical live-event workloads without conventional maintenance windows.
• Own large-scale object storage environments exceeding 15 petabytes, optimizing reliability, performance, scalability, and cost.
• Build and operate event-driven infrastructure using technologies such as Kafka, supporting high-volume media ingestion, processing, and distribution.
• Drive infrastructure cost optimization, particularly around storage and data egress, treating cloud economics as an architectural consideration.
• Contribute to multi-cloud and Bring Your Own Storage architectures that enable customers and partners to retain media in their own cloud environments while maintaining efficient platform access.
• Build and evolve an internal developer platform that enables engineers to develop locally, deploy through reliable pipelines, and provision infrastructure through self-service workflows.
• Establish clear engineering standards and processes for infrastructure definition, modification, review, deployment, and operational ownership.
• Partner with product engineers to reduce platform friction, respond effectively to infrastructure needs, and prevent the Platform function from becoming a delivery bottleneck.
• Strengthen infrastructure security through vulnerability analysis, patching, hardening, and continuous security improvements in support of SOC 2 and broader compliance requirements.
• Participate in on-call responsibilities for critical infrastructure, sharing operational coverage across the Platform team.
• Own incidents through resolution and contribute to detailed postmortems that document technical causes, business impact, costs, and preventative actions.
• Reduce alert noise, operational toil, and recurring incidents through proactive reliability engineering and platform improvements.
• Lead projects autonomously from discovery and scoping through architectural decisions, implementation, production deployment, and ongoing operation.
• Create and defend technical proposals and RFCs, contributing to engineering-wide technical discussions and architectural decisions.
• Collaborate closely with engineering leadership and cross-functional teams while communicating complex technical concepts clearly to stakeholders with different levels of technical expertise.

Requirements

• Approximately 6+ years of experience in SRE, Platform Engineering, Infrastructure Engineering, or a closely related discipline, with greater emphasis placed on demonstrated impact and technical depth than on a specific number of years.
• Deep, hands-on AWS expertise and strong production experience with Terraform.
• Solid experience designing, deploying, and operating Kubernetes in production environments.
• Proven experience designing distributed systems rather than simply operating existing infrastructure.
• Strong understanding of high availability, multi-region architectures, event-driven systems, and reliability engineering, with the ability to explain and defend architectural trade-offs.
• Experience with infrastructure-as-code and tools such as Terraform, Terragrunt, and Helm.
• Strong understanding of cloud storage, ideally including large-scale object storage and the economics of storage and data egress.
• Experience with event-streaming technologies such as Kafka is highly valuable.
• Strong builder mentality, with the ability to take ambiguous technical problems from discovery and scoping through solution design, implementation, production deployment, and ongoing improvement.
• Ability to work autonomously and take ownership of infrastructure projects from end to end.
• Strong communication skills, including the ability to adapt technical explanations to engineers, product stakeholders, and other audiences.
• A strong security mindset, with practical awareness of infrastructure hardening, vulnerability management, patching, and secure operational practices.
• Comfortable participating in an on-call rotation and taking ownership of production incidents.
• Experience establishing platform foundations, engineering processes, or internal infrastructure practices in an early-stage or rapidly scaling environment is a strong advantage.
• Experience with media, video, storage infrastructure, ingestion pipelines, transcoding, live streaming, or high-volume egress is a plus.
• Familiarity with technologies such as PostgreSQL, OpenSearch, Temporal, or Go is beneficial.
• Comfortable working in a remote-first, international environment and collaborating across distributed teams.

Benefits

• €90,000–€110,000 annual compensation.
• €150,000 in equity, providing an opportunity to participate in the long-term value created by the business.
• Fully remote position within Europe.
• Remote-first international working environment with regular opportunities for team gatherings.
• Significant autonomy and ownership over technical architecture, infrastructure strategy, and project delivery.
• Opportunity to work on infrastructure operating at substantial scale, including 15+ petabytes of media storage and 145M+ minutes of video ingested monthly.
• Direct influence over platform architecture and infrastructure decisions that have both technical and commercial impact.
• Opportunity to solve challenging problems across AWS, Kubernetes, distributed systems, event-driven architectures, cloud economics, and developer platforms.
• Shared on-call model designed to distribute operational responsibility across the Platform team.
• Strong focus on learning from incidents through structured postmortems and continuous reliability improvements.
• Opportunity to work alongside experienced engineers in an international team spanning Europe and the US.
• Exposure to high-profile sports organizations and mission-critical workloads where infrastructure reliability directly affects live-event operations.
• Engineering culture centered on autonomy, technical ownership, RFC-driven decisions, collaboration, and continuous improvement.

How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About This Job Opportunity
Our Vision
To be the world's most trusted global payroll partner, simplifying pay for all employees.

Our Mission
Empowering global workforces with seamless, compliant, and innovative payroll and payment solutions, enabling businesses to thrive in a connected world.

Our People
Our fundamental beliefs at CloudPay are built on core values of professionalism, passion, empowerment, innovation, and teamwork. We value our employees and strive to create a great workplace where everyone is valued, heard, inspired, and encouraged to bring their authentic selves to work. We're committed to providing an excellent employee experience through fulfilling projects, empowerment to make a difference, and an environment that inspires innovation.

What Makes This Role Exciting
CloudPay is a company that has been growing at 30% for five years straight; we find ourselves at an inflexion point in our technology stacks and IT organisational structure. CloudPays engineering teams build very sophisticated software using open-source technologies with the majority being in Java. We operate out of AWS. Our platform design engineers play a crucial role in the design, building and maintenance of all our software and services.

CloudPay builds, deploys and operates half a dozen customer-facing services and many more backend services across 1000+ Linux hosts and AWS-managed services. The ideal candidate will have a good working knowledge of Linux Systems is strong with scripting in various languages, working with AWS and is a strong study of new technology.

If you’re a self-starter who likes a challenge and is looking for an exciting new Platform Design Engineer role where you will have a real influence and impact on Cloud Infrastructure design, this is the role for you. This is a fantastic opportunity to join a highly-skilled, high-functioning team, forming an essential part of a rapidly expanding global business within the technology and financial services space.

Main Responsibilities

• Provision, Maintain and Design secure cloud infrastructure using Terraform
• Work with Platform Operations team exploring complex technical challenges and incident response
• Build and manage secure CI/CD automation
• Maintain complete and comprehensive documentation
• Work closely with software engineers and fellow platform design engineers across different parts of the world

Experience Needed For This Role

• Experience working within agile teams
• Experience using ways of working tools such as Jira and Confluence
• Good understanding of the following concept:

• GitOps
• IT Security; GDPR, encryption at rest/in transit, patching, least privilege
• Networking; VPN’s, VPC’s, Transit Gateways, Routing, DNS, Firewalls
• Strong experience in public cloud providers such as Azure, GCP or AWS (Preferred)

• Containerisation and microservice architecture

About You And Our Core Values

• Taking ownership, working with integrity and respect
• Being a team player is key to our culture
• Solution and customer focused
• Great initiative with the goal for excellence in achieving results
• Dedicated to developing and always looking for continuous improvements
• Be creative, be committed, be engaged and enjoy what you do

United Kingdom Package And Benefits

• Competitive Salary
• Competitive vacation allowance
• Calm app
• WFH Allowance
• Life Assurance
• Private Medical Insurance
• Cycle to Work Scheme
• EAP
• Eye Tests & Glasses Contribution
• Simplyhealth Enhanced Health Plan
• Pension Scheme
• Give-As-You-Earn (GAYE)
• Employee Referral Program
• CloudPay NOW
• Paid Volunteering days
• Marriage Leave
• Bereavement Leave
• Vacation Purchase Plan

Spain Package And Benefits

• Competitive Salary
• Competitive vacation allowance
• Calm app
• Private Medical Insurance
• EAP
• Intensive Days
• Employee Referral Program
• WFH Allowance
• Life Assurance
• CloudPay NOW
• Paid Volunteering days
• Marriage Leave
• Study Leave
• Bereavement Leave

CloudPay is committed to being an equal opportunities employer.

The CloudPay culture is built upon on five core values, from which we develop our service, our technology and our business strategies. Our fundamental beliefs are a promise to our employees, customers and partners, built on the core values of professionalism, passion, empowerment, innovation, and teamwork.

Glassdoor

TXT InfraWise is an innovative startup and spin-off of Politecnico di Milano, as well as part of the TXT Group, specializing in the development of advanced solutions for monitoring and managing critical infrastructures such as bridges, viaducts, and tunnels. Through proprietary IoT/OT platforms, advanced algorithms, and AI-native technologies, the company develops predictive systems for real-time analysis of the structural health of civil infrastructures, transforming academic research into practical solutions that enhance safety and territorial resilience.

TXT InfraWise is looking to hire two professionals for the roles of
AI Software Engineer – Advanced
and
AI Software Engineer – Professional
.

The selected candidates will be responsible for developing, integrating, and maintaining software applications with Artificial Intelligence capabilities, ensuring product quality, reliability, and scalability.

Key Responsibilities:AI Software Engineer – Advanced:

• Participate in the technical definition and implementation of solutions, ensuring code quality, security, and scalability;
• Develop backend and frontend components and services, with a focus on reusability and long-term maintainability;
• Collaborate with AI/ML Engineers and Data Scientists to industrialize AI solutions;
• Manage deployments, logging, monitoring, and application maintenance.

Additional Responsibilities for the AI Software Engineer – Professional

• Support junior colleagues in their technical growth and ensure compliance with architectural guidelines defined by the Solution Architect;
• Apply and promote DevOps and Lean practices, contributing to the standardization and automation of development processes;
• Collaborate with analysts and business stakeholders to refine requirements and translate them into effective application solutions.

Required Technical Skills:AI Software Engineer – Advanced:

• Good knowledge of Python and JavaScript/TypeScript programming languages;
• Knowledge of Go is considered a plus;
• Good understanding of modern development environments, version control systems (Git), and CI/CD pipelines;
• Understanding of the fundamental principles of AI/ML and model integration;
• Knowledge of REST APIs, microservices, and cloud-native architectures;
• Ability to work effectively in agile and multidisciplinary environments;
• Good command of the English language;
• Experience working on highly scalable digital products is considered a plus.

Additional Requirements for the AI Software Engineer – Professional:

In addition to the skills listed above, candidates should have:

• Excellent knowledge of Python and JavaScript/TypeScript programming languages;
• Excellent understanding of AI/ML fundamentals and model integration;
• Extensive experience in designing and consuming RESTful APIs, handling HTTP requests, and using WebSockets;
• Good experience with Docker, Kubernetes, and cloud infrastructures.

Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Why Join TXT InfraWise?

Joining TXT InfraWise means becoming part of a highly qualified organization that manages the entire value chain, from the design and supply of smart sensors to specialized consulting services and the development of Machine Learning-based decision support systems.

• Hybrid working model: the possibility to work remotely up to 4 days per week;
• Opportunity to join an innovative and international environment where research and industry collaborate to transform technology into tangible value;
• Permanent employment contract;
• For the Advanced role, the annual gross salary range is between EUR 27.000 and EUR 30.000;
• For the Professional role, the annual gross salary range is between EUR 39.000 and EUR 44.000;
• Employment relationship governed by the Italian Metalworking Industry Collective Labor Agreement (CCNL Metalmeccanico);
• Job level and compensation will be determined based on the candidate's actual experience and skills.

This position is open to applicants of all genders, in accordance with Italian Legislative Decree 198/2006. The company promotes equal opportunities and values diversity in all its forms.