Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)

Financial Times

ABOUT US The Financial Times (FT) is one of the world’s leading business news and information organisations. We are recognised globally for our authority, integrity, and accuracy. We provide a broad range of essential services, including news, comment, data, and analysis, to a growing audience of internationally minded business people. Here at the FT, gold-standard journalism is just the beginning. Our 500-people-strong Product & Tech team keeps us ahead of the ever-changing digital landscape by delivering cutting-edge products to over one million digital subscribers every day. Our plans for growth rely on a diverse, dedicated, and dynamic group of product, tech, delivery, and data specialists – everyone’s welcome in this friendly, forward-thinking team. STORYFINDING TEAM The Storyfinding team sits at the heart of innovation between the FT’s newsroom and technology. We collaborate closely with the Computational Journalism team to uncover and scale new ways of finding stories hidden in complex or unstructured data. Our mission is to turn bespoke investigations into reusable tools and data products that empower more journalists to tell stories that otherwise would be untold. This is where engineering meets journalism — you can see the direct impact of your work on the FT’s homepage. Since the team was formed, Storyfinding has helped uncover more than 10 exclusive stories, including Europe builds for war as arms factories expand at triple speed and Prices for used Teslas drop in US and Britain. We are a cross-functional team of Software Engineers, Data Engineers, ML Ops Engineers, and Product Managers. We balance strong engineering practices with the fast-moving needs of the newsroom, delivering quickly while keeping our systems reliable, secure, and easy to evolve. ABOUT THE ROLE OVERVIEW We are looking for a Senior Software Engineer 1 to play a key role in designing, building, and operating the backend systems and services that power Storyfinding’s investigative and editorial work. This is a hands-on senior individual contributor role with a primary focus on backend software engineering. You will be responsible for designing and building robust backend systems and services, while also maintaining that data engineering is a key component of the work. You will contribute to and maintain critical data pipelines and data products, helping to establish patterns and standards that enable the team to scale its impact. WHAT YOU’LL WORK ON Some example projects include: * Designing and operating data pipelines that ingest, clean, enrich, and model complex datasets for investigative reporting. * Building resilient, observable data workflows to support high-traffic and time-critical newsroom events such as elections or major economic announcements. * Developing shared data infrastructure and tooling that turns one-off investigations into reusable capabilities for the wider newsroom. * Working with unstructured and semi-structured data sources (documents, filings, scraped content, APIs) to create high-quality, queryable datasets. * Collaborating with journalists, product managers, and engineers to translate editorial questions into scalable data solutions. KEY RESPONSIBILITIES * Design, build, and maintain scalable and resilient backend services, APIs, and infrastructure. * Ensure high standards of software quality through testing, documentation, observability, and security across all systems. * Design, build, and maintain scalable, reliable data pipelines and datasets in a cloud environment. * Work across OLTP and OLAP data stores to support both application-driven and analytical use cases. * Partner closely with journalists and other technical colleagues to shape data solutions that directly support storytelling. * Lead by example in engineering best practices, including code review, documentation, and pragmatic architectural decision-making. * Support and mentor more junior engineers through pairing, feedback, and knowledge sharing. * Identify areas where AI and new technologies can help in the newsroom and be able to propose ideas. * Actively participate in the process of requirements gathering and have the desire to have regular catch-ups with editors and journalists if that’s needed. ABOUT YOU We’re looking for someone curious, pragmatic, and motivated by impact. You enjoy working with messy real-world data, care deeply about reliability and clarity, and are comfortable operating in an environment where priorities can shift quickly around editorial deadlines. ESSENTIAL SKILLS * Strong experience as a backend engineer designing and building production-grade distributed systems and APIs in a cloud environment. * Excellent Python skills for developing backend services, system integration, and data processing. * Solid experience as a data engineer with a vital skill set in maintaining production data pipelines and using workflow orchestration tools like Apache Airflow. * Experience working with cloud platforms, particularly AWS. * Familiarity with modern engineering practices including version control, CI/CD, and automated testing. * The ability to communicate clearly with both technical and non-technical stakeholders. * Interest in exploring new technologies and approaches related to AI and Agentic AI. * An interest in journalism, investigations, or using data to answer real-world questions. * Data Science (DS) experience or education is highly valuable for this role, as we leverage AI heavily for many of our use cases. DESIRABLE SKILLS * Strong SQL skills and experience designing and working with relational and analytical databases. * Experience with databases such as BigQuery, Redshift, PostgreSQL, SingleStore, or MongoDB. * Experience working with unstructured or semi-structured data at scale. * A solid understanding of data modelling, data architecture, and trade-offs between different storage and processing approaches. * Comfort contributing to backend software engineering tasks beyond pure data pipelines. * Exposure to building internal tools or lightweight user-facing applications. * Experience with building simple user interfaces or/and the desire to do so (e.g., using frameworks like Streamlit). CHARACTERISTICS WE VALUE * Inquisitive and analytical, with strong problem-solving skills. * Pragmatic and delivery-focused, able to balance technical quality with newsroom deadlines. * Collaborative and generous with your knowledge. * Comfortable working with ambiguity and evolving requirements. * A systems-level thinker who can see how individual pipelines and tools fit into a broader platform. * Motivated by learning and continuous improvement. * A collaborative team member who thrives in cross-functional environments and values collective success. OUR TECHNOLOGY We don’t expect you to be an expert in everything. Our current stack includes: * Languages: Python, SQL * Cloud & Infrastructure: AWS * Data Pipelines & Orchestration: Apache Airflow, AWS ECS * Databases: BigQuery, Redshift, PostgreSQL, SingleStore, MongoDB * Version Control & CI/CD: GitHub, CircleCI * Frontend (small part of the role): Streamlit This is a unique opportunity to use your technical skills to contribute to data journalism. You’ll be making content for the FT’s readership, using data to make news accessible, understandable, and impactful. If this sounds like a role that aligns with your expertise and ambitions, we’d love to hear from you!   IN RETURN, WE CAN OFFER YOU * Annual bonus scheme * 25 days paid leave * 24/7 Employee Assistance Program * Life Insurance * Enhanced Parental Leave policy * Food Allowance * Multisport Card * Both in house and external training programs * Your own training dedicated budget (for conferences, courses etc.)   We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams.    Our commitment to diversity, equity and inclusion  We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.   Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.   Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com.  Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.     The Role: Senior Site Reliability Engineer – Edge Computing  We are seeking a Senior Site Reliability Engineer to be part of the Edge Computing team in the Data&AI group. As we deliver real-time player tracking, sport analytics and broadcast augmentation to more customers worldwide, we are looking to scale from hundreds of sport venues to thousands.  Specifically, you can expect to:  * Design and code end-to-end processes enabling operational staff to autonomously prepare, install and monitor all Linux servers, networking devices and cameras installed in 300+ sport venues across the world  * Design and code end-to-end processes enabling developers to autonomously deploy and monitor our player tracking and augmentation applications  * Take ownership of long-term technical efforts and articulate design choices to technical and non-technical people  * Collaborate closely with teammates to solve problems, share knowledge and provide actionable feedback  * Participate in an on-call rotation that emphasizes eliminating repeating escalations  * Visit our wonderful Lausanne Jordils office 4 times per week, with flexible hours    Minimum Qualifications  * Swiss/EU/EFTA citizen or residency permit in Switzerland  * 5+ years experience in SRE with Linux  * Strong understanding of the entire Linux server stack: OS boot and installation, systemd, networking, container deployment, logging, metrics & monitoring, out-of-band management, etc...  * Strong experience designing robust automation processes for a large inventory of on-premises servers  * Proficient with Python programming and Bash scripting  * Ability to communicate efficiently and articulate concepts based on the audience    Preferred Qualifications  * Experience with remote fleet management without easy physical access  * Experience designing large-scale automation processes for network routers and switches  * Strong understanding of OSI network layers 2 and 3, ability to assess network conditions at customer sites: explain packet loss or fragmentation, cabling or NIC defects, bandwidth evaluation locally and to cloud via intercontinental transit  * Strong experience deploying container applications on premises with Kubernetes  * Experience with AWS EC2, S3, VPC, IAM  * Experience with Nvidia GPU driver installation and monitoring    Our Stack:  * Languages and frameworks: Python, Rust, Bash  * Servers: Ubuntu/Linux, bootc, Nvidia GPUs  * Networking: Mikrotik, FS  * Cloud: Tailscale, Netbox, Docker, Kubernetes, Prometheus, Grafana, AWS Cloud    Our Work Environment and What You Will Benefit From  * Become part of the world of elite sports, build systems that support data analytics and augmentation for the best leagues  * Enjoy an innovative and dynamic environment that encourages self-development  * Develop automation solutions that directly improve the daily work of dozens of operational staff and developers    The base salary range for this role is CHF 140,000 - CHF 155,000. There are a number of factors which affect what the specific pay for this role is, including seniority and relevant educational and working experience.  We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change   We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Cabify

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers, providing mobility alternatives such as scooters and mopeds and many others to come, all at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go… Fancy joining us? Our Product & Engineering teams are both based in Madrid, with a strong remote culture, and include an eclectic bunch of awesome people from different backgrounds like Ruby, Go, Elixir, Javascript, and Python. Right now we’re working on some pretty greenfield projects with a solid set of product ideas lined up ready for innovative engineers to tackle. And of course we have big plans to take over the taxi app service industry! Site Reliability Engineers at Cabify work on improving all aspects of our platform and have an impact across the whole organisation. They are a blend of systems engineers and software developers who solve scalability issues with software and implement the best production engineering and security practices. Check our Public Tech Handbook >HERE< to know a bit more about us!   As a Site Reliability Engineer, you will be: * Evolving our infrastructure platform building self-service components that will be used by all the engineering team and by millions of users around the world. * Working closely with our Product and Infrastructure teams to architecture and develop world-class infrastructure components. * Designing and implementing tooling to improve the availability, scalability, observability and latency of our services, which are used by internal customers to deploy and operate their services. * Increasing reliability awareness with other teams, helping with the adoption of reliability principles and reviewing observability implementations or software architectures. * Defining SLIs, SLOs and SLAs as part of the services' lifecycle. * Sharing an on-call schedule for the platform services you own. * Solving problems in our highly available platform together with other teams, then build automations to prevent incidents from happening again. * Participating in our recruiting process to help grow our engineering team. You may be a fit for this role if you: * Think Unix, you know the networking stack, the OSI model, containers (and schedulers), and you know your way around monitoring, logging and the CAP theorem (bonus!). * Have strong programming skills in at least one language, and know your way around a few more or can learn them if the opportunity arises. * Automate yourself out of everything by nature, making machines do the toil. * Communicate effectively and asynchronously.  * Care about the things that affect the company, your team, and yourself. * Embrace diversity and humbleness (and a bit of trolling). * Prefer taking iterative action over waiting for things to happen or to be perfect. * Strongly favor simplicity over complexity. Ie, adhering to the KISS principle. * Have a sense for identifying, exploiting and elevating bottlenecks. * Are not afraid of expressing yourself in English. We aren't expecting you to have the Queen's accent, but you'll be part of an international team and we communicate in English, so you should be comfortable with that. * Enjoy herding cats and shaving yaks. Ie, being a great influence to other product teams and teaching them best practices. As well as analyzing and simplifying our setup.   Projects you could work on: * Helping us iterate on and improve our Kubernetes setup (AWS EKS) and surrounding infrastructure (i.e. secrets, container images and repositories) using Terraform. * Iterate our networking layer to implement network policies, service mesh, and more… * Evolving our observability platform (Grafana stack and Cortex), in order to provide a first-class service to all of our engineering teams. * Operating and improving the persistence layer (SLQ and no-SQL DBs). * Maintaining our company-wide code repository and continuous integration solution (GitLab)                           What’s it like to work at Cabify? We’re a company full of happy, motivated people, and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team: 💶 Excellent Salary conditions: L4 [up to 75K] ⌚Flexible work environment & hours. 🙌Regular team events. 🚗Cabify staff free rides. 🚀Personal development programs based on our career paths. 🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions. 📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills. 📐Free access to O'Reilly - The largest technical leading platform for engineers. 💳Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare 💻All the equipment you need (you only have to bring your talent). At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like - Women Tech Dating - Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry. Join us!