Software Engineer (Infrastructure)

Thought Machine

Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years—and a UK Best Employer for 2026. Software Engineering is a key role within Thought Machine. As an engineering-focused company, we take pride in our engineering excellence, adopting best practices, and utilising modern technologies. Thought Machine software engineers work across the stack to solve complex engineering problems that have not been solved before. As a result, while development at Thought Machine is fast-paced, you will be expected to develop code to the highest standards that scales, is secure, performant, and provides a great user experience. Software Engineers will take complete ownership of a requirement, converting it into an engineering design, task breakdown, and implementation. You'll be responsible for building both backend services and frontend experiences. Our clients range from the world's largest financial institutions to smaller regional banks. Our systems must cater to each of these use cases, so we care deeply about providing the ability to configure and customise the user experience based on the client's or end user's persona. Software engineers are expected to bridge the gap between back-end and front-end, crafting delightful experiences that delight all our clients. This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite. At Thought Machine, our Senior Software Engineers specialised in Infrastructure play a crucial role in deploying and maintaining our cutting-edge software, developing tools and integrations with third-party infrastructure components used in our customers’ environments. The role spans across building mechanisms to automate and streamline deployment processes, to facilitating infrastructure changes in the data and streaming platforms which support our products, among other things. We build automation to provide an intuitive and reliable user experience to operate and integrate with Vault for Thought Machine engineers and bank SREs. Duties * Support the engineering team in building reliable, scalable applications * Help design and build tools to make our services scalable and highly available, automating wherever possible * Develop observability and orchestration tooling to allow our customers to monitor and manage their deployments * Contribute to disaster recovery, backup and redundancy tooling and strategy * Assist in improving the quality of our codebase by building new tools and processes Essential * A degree in Computer Science, Engineering or a similar technical field * 5+ years of hands-on experience * Experience developing production-ready infrastructure management tooling with either Python or Golang * Familiarity with at least one of the following: * Observability Tools (e.g. Prometheus, OpenTelemetry, Grafana) * Databases (e.g. Postgres, DuckDB) * Event Streaming platforms (e.g. Kafka) * Container Orchestration (e.g. Docker, Kubernetes) * Familiarity with cloud platforms such as AWS, Azure or GCP * Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable * Experience supporting production systems in high-consistency transactional environments Benefits * Highly competitive salary * Voluntary Pension Plan (match up to 5%) * Private Healthcare Insurance * Comprehensive Life Insurance * 25 days holiday plus public holidays * Two charity days a year * Daily Meal Allowance * Access to outstanding learning materials and courses * Sports and hobby clubs, subsidised by Thought Machine * All the latest tech you need * Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks * A talented and experienced team as your colleagues * An environment where we encourage learning and progress We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

Datadog

The eBPF Platform team owns the shared eBPF infrastructure inside the Datadog Agent, and is responsible for its reliability, performance, and evolution across a wide variety of Linux distributions and kernel versions. We build tooling and agent functionality for product teams utilizing eBPF (Network Performance Monitoring, Universal Service Monitoring, Cloud Workload Security, GPU Monitoring), enable new teams exploring eBPF, and centralize deep kernel expertise across the organization. The team contributes to open source projects such as btfhub and cilium/ebpf. Datadog is investing heavily in GPU Monitoring to give customers deep visibility into GPU utilization, health, and performance across their infrastructure. The eBPF Platform team builds the agent-side foundation that makes this possible, from eBPF programs that capture GPU activity at the kernel level, to the metrics pipelines and validation infrastructure that ensure data quality at scale. In this role, you will work at the intersection of eBPF, the Linux kernel, and GPU infrastructure. You'll contribute to GPU Monitoring capabilities within the Datadog Agent while also working across the broader eBPF platform, investigating production incidents, improving reliability, and helping shape the architecture of one of the most widely deployed eBPF solutions in the industry. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.   What You’ll Do: * Contribute to GPU Monitoring feature development end-to-end, from ideation to implementation within the Datadog Agent * Build and maintain shared eBPF functionality for product teams to use in their eBPF-based products * Investigate and debug complex production issues that span the kernel, eBPF programs, and agent runtime * Research, prototype, develop, and document solutions to hard problems in the eBPF and GPU monitoring space * Provide technical input to product and architecture decisions   Who You Are: * You have experience working with and developing in the Linux kernel, either using eBPF, as a kernel developer, or building low level programs in C * You have significant experience building high throughput/low latency systems * You have been building applications and tooling for 5+ years and know the systems you’ve worked on in depth * You are motivated by solving problems for our customers first and foremost and building beautiful products that our customers love * You have ability to work effectively in a team Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds * Access to Inclusion Talks, our Internal panel discussions * Free, global Spring Health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Remote ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. * Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. * Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. * Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. * Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. * Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: * You have significant experience building software in Linux environments, including knowledge of Linux internals, kernel APIs, or systems programming. * You have hands-on experience with eBPF, kernel-level instrumentation, driver development, networking systems, agent development, or related low-level technologies. * You've built and run systems where performance and reliability actually matter. * You have experience building and maintaining production software across diverse Linux distributions and kernel versions. * You are product-minded and customer-focused, balancing technical excellence with customer impact and usability. ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.