Senior Cloud Site Reliability Engineer at Experian | Sofia

Join Experian as a Senior Cloud Site Reliability Engineer and be a key player in ensuring the reliability and performance of our cloud infrastructure. In this role, you will collaborate with cross-functional teams to design and implement robust cloud solutions, optimize system performance, and enhance service reliability.Your responsibilities will include monitoring system health, troubleshooting incidents, and implementing automation for operational tasks. You will leverage your expertise in cloud technologies to drive improvements in our systems and processes.

Join our dynamic team at Experian as a Site Reliability Engineer (SRE). In this role, you will be pivotal in ensuring the reliability, availability, and performance of our services. You will collaborate closely with development teams to build robust systems and automate processes, enabling seamless service delivery.Your expertise will help us identify and resolve issues proactively, enhancing the overall user experience. We are looking for someone passionate about technology and eager to contribute to our mission of empowering consumers and businesses through data.

Join Experian as a Cloud Site Reliability Engineer and be a part of our innovative team dedicated to enhancing our cloud infrastructure and providing seamless user experiences. In this role, you will focus on automating systems, improving reliability, and ensuring the highest levels of service availability.

Your Role:Craft sophisticated data engineering solutions that facilitate data analysis and deliver on-demand insights.Design and implement scalable, cloud-native data platforms and pipelines tailored for both structured and unstructured data.Develop robust ETL/ELT pipelines utilizing cutting-edge cloud-native services.Take the lead in architecting and refining complex multi-platform data architectures to enhance performance, scalability, and growth.Implement best practices in data quality, governance, lineage, security, and observability.Collaborate with analytics, product, engineering, and business teams to transform requirements into dependable, high-value data solutions.Provide technical mentorship and guidance, ensuring compliance with established engineering standards and quality protocols.Enhance and evolve data solutions using contemporary cloud technologies (such as S3, Redshift, Glue, or comparable services).You will report to the Data Modeller - Manager.

Join Experian as a Senior Data Scientist and leverage your expertise in data analytics to drive impactful business solutions. Collaborate with cross-functional teams to develop predictive models, enhance data-driven strategies, and contribute to innovative projects that enhance customer experiences.

Join Experian as a PMO Analyst and play a crucial role in managing our project portfolio. You will be responsible for tracking project progress, ensuring alignment with strategic goals, and providing insights to enhance project performance. This is an exciting opportunity to work with a dynamic team in a fast-paced environment.

Join our innovative PowerCurve Collections Software Engineering Team as a Full-Stack Software Engineer. In this role, you will contribute to our advanced debt management system, empowering clients to optimize their collections strategies and enhance their decision-making processes. You will create customizable and user-centric features that solidify our leadership in the market. Your Responsibilities:Design and implement scalable full-stack solutions utilizing Java and Angular.Produce clean, efficient, and thoroughly tested code.Maintain and enhance automated testing to guarantee software quality.Conduct code reviews to uphold coding standards and best practices.Participate in technical design and estimation discussions.Identify and resolve issues to deliver tangible business value.Foster knowledge sharing to promote team growth and engineering excellence.

Join Experian as a Data Scientist and leverage your analytical skills to transform data into actionable insights. You will be part of a dynamic team that focuses on extracting value from data, driving business strategies, and enhancing customer experiences. Your role will involve developing predictive models, conducting data analysis, and collaborating with various departments to support data-driven decision-making.

Join Experian, a global leader in data and analytics, as a Data Analyst. In this role, you will leverage data to provide insights that drive business decisions and improve customer experiences. Your analytical skills will help transform raw data into actionable strategies, contributing to our mission of helping clients make informed decisions.

Join our Analytics Services Team at Experian Software Solutions, where we drive innovation in advanced analytics and generative AI for decision-making, fraud prevention, and identity verification worldwide.As a Machine Learning Scientist, you will leverage your expertise to design, build, and implement state-of-the-art machine learning and generative AI solutions at scale. Your role will merge deep data science knowledge with ML and data engineering skills to deliver robust production models, prototypes, and platform enhancements. Additionally, you will collaborate with cross-functional teams to facilitate global product launches, client implementations, and drive early adoption initiatives. You will report directly to the Director of Data Science and Generative AI.Key Responsibilities:Collaborate with data scientists to enhance and productize additional analytics solutions.Ensure the successful execution of production code within the Ascend platform to deliver innovative solutions to our clients.Work with Engineering, Research, and Data Science teams to design and implement machine learning models, dashboards, ad hoc analyses, and AI applications on a cloud-native big data platform (AWS).Partner with leaders, analytic consultants, engineers, account executives, product managers, and external partners to introduce impactful solutions to our diverse client base.Develop advanced machine learning solutions and prototypes to glean insights from varied structured and unstructured data sources, documenting and presenting findings effectively.Utilize generative AI tools and model development frameworks to create new models and deploy generative capabilities, including prompt engineering and model evaluation.Produce high-quality production code following software engineering best practices, ensuring reliability and reproducibility.Communicate methodologies, assumptions, performance metrics, and trade-offs to both technical and non-technical stakeholders, translating intricate concepts into actionable insights.Design and implement advanced algorithms to tackle complex problems across supervised, unsupervised, and reinforcement learning methodologies.Contribute to the evolution of features and platforms by gathering feedback from clients and teams, prioritizing enhancements within Experian's ML and AI ecosystem.

Role Overview Experian is hiring a Junior Financial Analyst in Sofia. This position supports financial planning and analysis, focusing on accurate and timely reporting. The role works closely with teams across the business to deliver insights that inform decision-making. Main Responsibilities Assist with financial planning and analysis tasks Prepare and review financial reports for accuracy and deadlines Collaborate with other departments to gather and interpret financial data Contribute insights to help guide business decisions Location Sofia

Join Experian as an Associate Data Modeller and become a vital part of our dynamic team in Sofia. In this role, you will be responsible for assisting in the design and implementation of data models that drive our analytics and reporting efforts. You will work closely with cross-functional teams to understand business requirements and translate them into effective data structures.The ideal candidate will have a passion for data and a strong analytical mindset. You will leverage your technical skills to support data-driven decision-making processes and enhance our data management capabilities.

Role overview GoDaddy seeks a Senior Site Reliability Engineer to join its team in Bulgaria. The focus of this role is to maintain reliable, available, and high-performing systems that support GoDaddy’s global services. Hands-on experience with monitoring, incident response, and automation is essential for success in this position. Key responsibilities Design and architect scalable systems that enable business growth. Develop and enhance monitoring and alerting to identify issues early. Lead incident response efforts to reduce downtime and limit impact. Automate operational tasks to boost efficiency and system reliability. Collaborate with other teams to strengthen infrastructure and share expertise. Promote continuous improvement in operational practices and system performance. Collaboration and impact This position provides the opportunity to influence infrastructure decisions and work closely with teams across GoDaddy. A proactive approach and dedication to operational excellence will help ensure dependable service for customers worldwide.

Join our dynamic team at Devexperts as a Site Reliability Engineer (SRE). In this pivotal role, you will contribute to the development and support of advanced trading platforms that serve users across various countries. Your expertise will ensure optimal access to multiple markets, and you will focus on maintaining system availability, automating deployment processes, and implementing effective monitoring and alerting solutions.Key Responsibilities:Collaborate with developers to prototype and design innovative features for infrastructure improvements.Deploy, install, configure, and maintain complex Trading/Finance software solutions.Utilize Infrastructure as Code to configure bare metal instances.Build and maintain robust CI/CD pipelines.Make strategic decisions regarding system scalability, reliability, and accessibility.Install and manage both in-house developed and well-known external monitoring systems.Design, deploy, and configure cloud-based servers, including server and storage provisioning, firewall setup, VPN, and monitoring tools.Administer UNIX infrastructure through installation, configuration, and maintenance tasks.Manage Nexus and GIT repositories effectively.

About Man GroupMan Group is a leading global alternative investment management firm dedicated to delivering superior investment performance for sophisticated clients through our Systematic, Discretionary, and Solutions offerings. Leveraging our expertise and cutting-edge technology, we develop both single and multi-manager investment strategies grounded in extensive research, encompassing both public and private markets across various asset classes with a significant emphasis on alternative investments. Our partnership model fosters strong relationships with clients, allowing us to create customized solutions that align with their investment aspirations and the needs of the millions of retirees and savers they represent.Headquartered in London, we manage an impressive $227.6 billion in assets and operate across multiple global offices. Man Group plc is publicly traded on the London Stock Exchange under the ticker EMG.LN and is a member of the FTSE 250 Index. For more information, please visit www.man.com.* As of 31 December 2025The RoleBecome a vital member of our dynamic Site Reliability Engineering (SRE) team and contribute to the reliability, scalability, and performance of the technology engine that fuels Man Group’s hedge funds. You’ll be empowered with the tools and autonomy to innovate and redefine the future of our platform. This role presents an exciting opportunity to engage in pioneering projects, receive mentorship from senior leaders, and gain a profound understanding of both technology and business.As an SRE, you will take ownership of service reliability and implement solutions that create a tangible impact. Your initial focus will involve utilizing AI to enhance incident diagnosis and resolution, improving observability, capacity planning, and automation. Over time, you will work across our entire infrastructure stack, operating at scale and driving ongoing improvements.

About the Role Join Ocado Group as a Reliability Engineer, where you will be pivotal in enhancing the uptime of our state-of-the-art autonomous mobile robots and cloud-based software systems used in warehouse automation. Key Responsibilities Perform in-depth analyses to assess the reliability and performance of our innovative products, identify potential failure modes, and recommend enhancements to improve product reliability. Customer Issue Resolution: Efficiently diagnose and troubleshoot issues reported by customers, providing swift and effective solutions to ensure satisfaction and minimize operational downtime. Technical Support: Act as the primary support contact for customer inquiries related to reliability and performance, delivering clear and concise guidance. Provide remote assistance to third-party technicians or work independently at customer sites to carry out maintenance, upgrades, and retrofitting activities. Root Cause Analysis: Investigate reported customer issues, conduct thorough root cause analyses on failures, and drive remediation efforts while collaborating effectively with design engineering, supply chain, and reliability teams. Documentation and Reporting: Accurately document technical findings, solutions, and customer interactions. Prepare detailed reports on reliability trends, issues, and recommendations for product enhancements or design modifications. Continuous Improvement: Engage proactively in the enhancement of customer support processes, tools, and knowledge bases. Contribute to the development of preventive maintenance strategies and best practices for reliability. Training and Knowledge Sharing: Deliver training and support to customer support teams on relevant topics, ensuring they possess the necessary skills to effectively address customer inquiries. Provide technical writing and subject-matter expertise for training documentation. About You Proven experience in addressing system performance issues and maximizing uptime for customers. A strong drive for solving complex problems with a commitment to identifying root causes. Experience in developing tools for monitoring performance across intricate systems. Ability to assist customers in troubleshooting hardware and software issues. Practical knowledge in reliability engineering principles and methodologies.

Join Experian as a Senior Data Analytics Engineer in Sofia, where you will play a pivotal role in transforming data into actionable insights. You will collaborate with cross-functional teams to design and implement robust analytics solutions that drive strategic decisions and enhance business performance.

Join our innovative Analytics Services Team at Experian Software Solutions, where we drive the development of cutting-edge analytic and generative AI products that aid in decision-making, analytics, fraud prevention, and identity management on a global scale.As a Data Scientist, you will leverage your expertise in predictive modeling, coding, and generative AI to craft analytical solutions and contribute to product prototypes. Your role will involve leading analytical consulting efforts for Experian's new global product launches and ensuring early client success. You will work under the guidance of the Director of Data Science and Generative AI.Key Responsibilities:Design and implement advanced machine learning models and prototypes to extract valuable insights from various structured and unstructured data sources.Collaborate with engineering, research, and data science teams to develop Machine Learning applications, dashboards, and ad hoc analyses on our cloud-native big data platform (AWS).Clearly communicate model processes and outcomes, documenting findings and performance metrics while translating complex results into actionable insights.Work alongside leaders, analytic consultants, engineers, and product managers to introduce new solutions to the market that create significant value for Experian's diverse client base.Utilize generative AI and modeling tools to develop innovative models.Investigate and integrate new data assets from various sources into Experian's ML and AI platform.Collect feedback from internal and external clients to inform product development and feature prioritization, as well as contribute to the evolution of tools and capabilities within the Ascend Platform.Analyze extensive datasets to identify patterns and insights.Address complex challenges through the creation of impactful algorithms.

As a Senior Platform Architect at Experian, you will play a pivotal role in shaping the technology landscape of our products. You will leverage your extensive experience to design and implement scalable and reliable platform solutions that meet the demands of our clients and enhance their experience. Collaborating with cross-functional teams, you will ensure that our architecture aligns with business goals and technical best practices.

Join Our Mission to Empower Wealth BuildingAt Trading 212, we are transforming the landscape of trading and investing. Our innovative products are designed to empower individuals to build their wealth effectively.We believe that a culture rooted in excellence and rapid innovation is essential to our success.With over 4.5 million clients and more than €30 billion in assets under management, we have quickly established a reputation for scale and trust in the financial industry.Your ResponsibilitiesArchitect and implement dynamically scalable, self-healing infrastructure and applications across public and private cloud platforms.Continuously enhance and automate infrastructure designs to boost resilience and scalability.Utilize IaaS automation tools such as Terraform, AWS CloudFormation, and Ansible.Facilitate the migration of environments from on-premise infrastructure to AWS/GCP.Analyze application and infrastructure KPIs, proactively identifying and addressing bottlenecks and potential issues.Design infrastructures that ensure zero downtime.Drive continuous performance improvements and troubleshoot critical components.Engage in knowledge sharing with colleagues to foster growth as the company evolves, valuing honest feedback as a crucial tool for success.Required QualificationsProven expertise in public cloud platforms, specifically AWS and GCP.In-depth understanding of DevOps principles and their practical application in various workflows; experience with CI/CD tools such as GitHub, GitLab, or Jenkins.Hands-on experience with containerization technologies and orchestration systems, including Docker, Kubernetes, EKS/ECS, and Nomad.Solid understanding of Infrastructure as Code practices using tools like Terraform and AWS CloudFormation.Experience in implementing and maintaining configuration management tools such as Puppet and Ansible.Expertise in relational databases including AWS RDS, MySQL/MariaDB/PostgreSQL, and TimescaleDB.Familiarity with messaging services like Amazon MSK, Amazon MQ, Kafka, and RabbitMQ.Strong proficiency in Python and Bash scripting.Preferred QualificationsExperience with on-premise private cloud infrastructure.