At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We were named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

About Role

We are looking for experienced and highly motivated engineers to join our DATA Org and help build the future of data at Cloudflare. Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties.

Our mission is to empower customers to leverage their data to drive better outcomes for their business. We build and maintain a suite of high-performance, scalable systems that handle more than a billion events in a second.

As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack.

Responsibilities

As a Software Engineer in our Data Organisation depending on the team you join, you will focus on a subset of the following areas:

• Design, develop, and maintain scalable and reliable distributed systems across the entire data lifecycle.

• Build and optimise key components of our high-throughput data delivery platform to ensure data integrity and low-latency delivery.

• Develop new and improve existing components for the Cloudflare Analytical Platform to extend functionality and performance.

• Scale, monitor, and maintain the performance of our large-scale database clusters to accommodate the growing volume of data.

• Develop and enhance our customer-facing GraphQL APIs, log delivery, and alerting solutions, focusing on performance, reliability, and user experience.

• Work to identify and remove bottlenecks across our data platforms, from streamlining data ingestion processes to optimizing query performance.

• Collaborate with other teams across Cloudflare to understand their data needs and build solutions that empower them to make data-driven decisions.

• Collaborate with the ClickHouse open-source community to add new features and contribute to the upstream codebase.

• Participate in the development of the next generation of our data platforms, including researching and evaluating new technologies and approaches.

Key Qualifications

• 3+ years of experience working in software development covering distributed systems and databases.

• Strong programming skills (Golang is preferable), as well as a deep understanding of software development best practices and principles.

• Hands-on experience with modern observability stacks, including Prometheus, Grafana, and a strong understanding of handling high-cardinality metrics at scale.

• Strong knowledge of SQL and database internals, including experience with database design, optimisation, and performance tuning.

• A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency.

• Strong analytical and problem-solving skills, with a willingness to debug, troubleshoot, and learn about complex problems at high scale.

• Ability to work collaboratively in a team environment and communicate effectively with other teams across Cloudflare.

• Experience with ClickHouse is a plus.

• Experience with data streaming technologies (e.g., Kafka, Flink) is a plus.

• Experience developing and scaling APIs, particularly GraphQL, is a plus.

• Experience with Infrastructure as Code tools like SALT or Terraform is a plus.

• Experience with Linux container technologies, such as Docker and Kubernetes, is a plus.

If you're passionate about building scalable and performant data platforms using cutting-edge technologies and want to work with a world-class team of engineers, then we want to hear from you!

Join us in our mission to help build a better internet for everyone!

This role requires flexibility to be on-call outside of standard working hours to address technical issues as needed.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul.

Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organisations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration.

Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver.

This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever.

We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers.

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You'll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices.

Day to day, you'll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure.

You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior.

CoreWeave is looking for a talented software engineer to join our Observability team. You will be responsible for designing, building, and maintaining scalable systems that process and surface telemetry data across distributed environments.

The ideal candidate will have experience with Go and Python, as well as a strong understanding of system reliability and observability best practices.

In addition to your technical skills, you should be able to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

If you're passionate about building scalable systems and improving system reliability, we'd love to hear from you!

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Your responsibilities will include:

• Helping set the technical direction for the team and influencing the engineering roadmap for the Platform's streaming capabilities
• Designing and leading the implementation of our most complex and critical systems for data-intensive use cases
• Researching and championing new technologies and architectural patterns to solve strategic challenges and scale the platform
• Leading and influencing cross-functional initiatives, ensuring technical alignment and successful execution across multiple teams
• Improving the operational posture of our systems by designing for observability, reliability, and scalability, and by mentoring others in operational best practices
• Coaching and mentoring senior engineers and acting as a technical leader across the engineering organization

You will bring to our teams:

• 5+ years of software development experience in a fast-paced, agile environment
• Experience working with Golang or Java is preferred
• Hands-on experience designing, developing and tuning highly-scalable, event-driven systems
• Solid understanding of database fundamentals and experience with event streaming technologies such as Kafka
• A passion and interest to work on systems that are highly reliable, maintainable, scalable and secure

Extra points:

• Experience with front-end technologies such as TypeScript and React
• Familiarity with cloud providers (AWS, Azure) and container technologies such as Kubernetes, Docker
• Familiarity with or interest in the Identity and Access Management (IAM) business domain

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You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.

Responsibilities

• Apply data science and machine learning techniques to real-world business problems
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Develop and optimise data transformations for analytical and machine learning workloads
• Support the productionisation of data and ML solutions, including monitoring and optimisation

Requirements

• 3–5 years of experience in data engineering, data science, or analytics
• Hands-on experience delivering data and analytics solutions in project-based or client environments
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset

Data Engineering Foundations

• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Solid understanding of data modelling, data transformations, and feature engineering
• Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP

Applied Data Science & Analytics

• Experience applying statistical analysis and machine learning techniques
• Strong programming skills in Python
• Very good SQL skills and experience working with relational databases

Nice to have

• Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
• Exposure to GenAI, NLP, time series, or advanced analytics use cases
• Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

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Our dynamic organisation allows you to work across topics and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?

As a Consultant/Senior Consultant in the Data Engineering & Data Science field, you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle - from data intake and transformation to analytics and machine learning to productive operation.

You will work closely with data engineers, architects, data scientists, and subject matter experts to implement scalable, reliable, and value-adding solutions in complex customer environments.

Your Tasks

• Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Set up data pipelines for analytical workloads
• Support the productive implementation of data and ML solutions, including monitoring and optimisation

What You Bring - Required

• At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics
• Hands-on experience in implementing data and analytics solutions in (customer) projects
• Strong problem-solving skills and a pragmatic, implementation-oriented way of working

Data Engineering Fundamentals

• Experience in setting up data pipelines (ingestion, transformation, storage)
• Solid understanding of data modeling, data transformations, and feature engineering
• Experience with cloud-based data platforms, such as:

1. Azure, AWS, or GCP
2. Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric

• Knowledge of CI/CD concepts and production-ready deployments

Applied Data Science & Analytics

• Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses
• Very good programming skills in Python
• Very good SQL skills and experience with relational databases
• Experience in deploying and productively using ML models
• Ability to translate analytical results into business-relevant insights
• Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

Nice to Have

• Experience with:

1. Streaming technologies (e.g. Kafka, Azure Event Hubs)
2. Time series analysis, NLP applications, or system modeling
3. NoSQL databases (e.g. MongoDB, Cosmos DB)
4. Docker and Kubernetes
5. Data visualization tools like Power BI, Tableau
6. Cloud or architecture certifications

Language & Mobility (Germany)

• Fluent German skills (at least C1) for customer communication in the German-speaking market
• Very good English skills
• Project-related travel readiness

Your Team

You will become part of our growing Data & Analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, and Analytics & Data Science.

About Infosys Consulting

You will become an employee of a globally renowned management consulting firm at the forefront of technological innovation and industrial transformation. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.

Our values IC-LIFE - Inclusion, Equity & Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.

In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is ranked among the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five consecutive years.

We offer a market-leading salary, attractive additional benefits, and excellent opportunities for further education and development. Have you become curious? Then we look forward to your application - apply now!

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You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.

Your role will include:

• Applying data science and machine learning techniques to real-world business problems
• Working with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Developing and optimising data transformations for analytical and machine learning workloads
• Supporting the productionisation of data and ML solutions, including monitoring and optimisation

Requirements

• 3–5 years of experience in data engineering, data science, or analytics
• Hands-on experience delivering data and analytics solutions in project-based or client environments
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset

Data Engineering Foundations

• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Solid understanding of data modelling, data transformations, and feature engineering
• Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP
• Understanding of CI/CD concepts and production-grade deployments

Applied Data Science & Analytics

• Experience applying statistical analysis and machine learning techniques
• Strong programming skills in Python
• Very good SQL skills and experience working with relational databases
• Experience deploying or supporting ML models in production environments
• Ability to translate analytical results into business-relevant insights
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to have

• Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
• Exposure to GenAI, NLP, time series, or advanced analytics use cases
• Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)
• Familiarity with Docker and Kubernetes
• Experience with data visualisation tools (e.g. Power BI, Tableau)
• Cloud or data-related certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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