Senior DevOps Engineer at Longshot Systems Ltd | London

Join Longshot Systems Ltd, where we create cutting-edge platforms for sports betting, analytics, and trading. We are seeking a Senior DevOps Engineer to enhance our platform team.You will manage a medium-sized deployment that connects with global sports betting platforms and supports multiple internal teams with diverse infrastructure needs. Your role will involve overseeing critical systems from backtesting to real-time trading and long-running backend services.Our infrastructure is hosted on AWS, and we are undergoing an evolution focused on automation and repeatability to drive our growth. Our core systems process thousands of trading signals per second, requiring minimal latency, presenting similar challenges to high-frequency trading environments but in the sports betting sector.As a Senior DevOps Engineer, you will collaborate closely with the CTO and development team to maintain our production and development trading infrastructure. You will take the lead on developing new infrastructure and troubleshooting performance and stability issues across applications, networks, and operating systems. You should be adept at analyzing metrics, packet dumps, and logs to identify and resolve issues, followed by implementing automation to prevent future occurrences.The ideal candidate is autonomous and innovative, thriving on generating new solutions and suggesting improvements to current methodologies. We offer you flexibility and the freedom to explore effective solutions.We embrace a hybrid work model, requiring in-office attendance on Thursdays at our London (Farringdon) office, with flexible arrangements for the remainder of the week. Our standard working hours are 10 AM to 6 PM UK time, Monday to Friday, with support for flexible schedules to achieve your goals.Regarding on-call responsibilities, while we do not maintain a 24/7 rota, we have a compensated on-call system based on best efforts, which will involve sharing responsibilities within the platform team.Interview Process:Introductory call (30 mins) – discuss your background and interests.First technical interview (30 mins) – live systems management and code review.Second technical interview (60 mins) – in-depth technical questions.Full assessment day (10:30 AM – 5 PM) – a practical systems engineering exercise reflecting actual team work. Meet the team, tour the office, and enjoy a complimentary lunch.

Longshot Systems builds advanced platforms for sports betting analytics and trading. The team blends software engineering, machine learning, and expertise in sports markets to develop trading strategies for clients. Role overview The Sports Betting Trading Analyst joins the modeling team as a subject matter expert in sports and betting markets. This role works closely with software engineers and machine learning specialists to refine and improve trading strategies. Key responsibilities include monitoring client trading activity, analyzing historical trade data, and applying deep knowledge of the sports betting landscape to spot improvements and value leaks in both current and new strategies. What you will do Work with engineers and machine learning specialists to enhance trading strategies Analyze historical trades and client activity to identify areas for improvement Apply expertise in sports and betting markets to find value opportunities and leaks Use data analysis tools, especially Python and Jupyter notebooks, to extract insights Engage with a wide range of sports from a betting perspective Requirements Strong passion for sports and sports betting, ideally with experience as a professional bettor Deep understanding of betting exchanges, prediction markets, and sharp bookmakers, including US and Asian markets Proficiency with Jupyter notebooks and data analysis in Python Strong numerical skills and a solid background in statistics Interest in following a broad range of sports, especially through the lens of betting Working arrangements This position follows a hybrid working model. Thursdays require in-person attendance at the London (Farringdon) office, while the rest of the week offers flexibility. Core hours are 10 am to 6 pm UK time, Monday through Friday, with support for flexible working to help the team meet goals. The role often benefits from engagement during sporting events, and tools are available to review games outside regular hours. Interview process Introductory call (30 minutes) to discuss background and interests First technical interview (90 minutes) for an in-depth discussion of experience Comprehensive assessment day (10:00 am - 6:00 pm) on-site, focused on data analysis using Python to generate insights

Join Longshot Systems, a pioneering company dedicated to developing cutting-edge platforms for sports betting analytics and trading.We are in search of a Senior Software Engineer to become a vital member of our trading platform team. As a small but highly focused organization, we seek an individual who can effectively architect and implement solutions to achieve our upcoming product, performance, and stability objectives. This role involves ownership of our technical standards, coding guidelines, CI/CD processes, observability, and security measures. If you are passionate about delivering features and enhancing the overall technical excellence of our team and platform, we want to hear from you.Our trading platform is responsible for integrating with numerous bookmakers and exchanges globally, normalizing and consolidating global odds data across various sports for internal trading strategies. We manage thousands of odds updates and trades per second, maintaining stringent standards for latency, correctness, and feed quality. You will be at the forefront, integrating additional trading venues, optimizing key platform components, and enhancing the safety and speed of trading. Our team also oversees a large historical data repository, supporting the company's broader trading and research initiatives.Our key platform systems are primarily built using Golang, featuring message buses and databases at the core of our architecture. While fluency in Golang is advantageous, it's not a prerequisite, as we have a team full of experts ready to assist you in learning.We embrace a hybrid work model, with Thursdays in our London office (Farringdon) and flexible arrangements for the rest of the week. Our standard working hours are 10 AM to 6 PM UK time, Monday through Friday, with support for flexible schedules to help our team achieve their objectives.

At Longshot Systems, we develop cutting-edge platforms for sports betting analytics and trading.We are currently seeking experienced Machine Learning Engineers to join our modeling engineering team. In this role, you will collaborate closely with our quantitative research teams to transform prototype trading models into robust, production-ready systems. You will be responsible for designing and building the tooling, frameworks, and data engineering necessary to support strategy research and development, while also architecting high-level designs of the strategy software to minimize trading latency and ensure scalability. Our ML stack is primarily Python-based, incorporating modern ML libraries and tools such as Polars, Ray, and Plotly.The ideal candidate will possess a solid software engineering background, with extensive experience in high-performance computing topics such as multi-threading, networking, profiling, and optimization. Proficiency with the NumPy/SciPy stack is essential, along with experience in performance optimization tools like C++ and Numba. Familiarity with common ML algorithms and techniques is advantageous but not mandatory.As a hybrid working company, we require team members to work in our London (Farringdon) office on Thursdays, while offering flexibility for remote work on other days. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, but we encourage flexible schedules to help our team meet their objectives.Interview Process:Introductory Call (30 mins) - Discuss your background and interestsFirst Technical Interview (30 mins) - Live code review and pair programmingSecond Technical Interview (60 mins) - In-depth technical questionsFull Assessment Day (10:30 am to 5 pm) - A programming exercise reflective of actual team tasks

Join Longshot Systems, where we are at the forefront of developing sophisticated platforms for sports betting analytics and trading.We are in search of talented Machine Learning Researchers to join our quantitative modeling team. This team’s primary objective is to enhance the predictive capabilities of our models using historical event and market data. The quality of our models is paramount, as improvements directly influence our company’s success.In this role, you will design, test, and implement innovative machine learning models using Python, continuously enhancing our existing state-of-the-art solutions. As a small, focused company, we offer you the chance to be involved in every aspect of the R&D process, from high-level design to production implementation.The ideal candidate will possess high creativity and enjoy developing new, innovative approaches to problem-solving, and will have the autonomy to explore the most suitable methods for the challenges at hand. A strong mathematical foundation in machine learning and core statistics is essential. While knowledge of sports betting is not required, experience with modeling sports — particularly in-play football, basketball, or tennis — is advantageous.We embrace a hybrid working model, requiring in-office presence on Thursdays at our London (Farringdon) office, while allowing flexibility for the remainder of the week. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, with support for flexible schedules to help our team achieve their goals.Our interview process includes:Introductory call (30 mins) - discussing your background and interestsTechnical interview (60 mins) - focusing on modeling questions and a coding exerciseFull assessment day (10:30 am – 5 pm) - encompassing a comprehensive modeling exercise and team interactions

Join Longshot Systems, where we are pioneering cutting-edge platforms for sports betting analytics and trading.We are looking for enthusiastic Graduate Machine Learning Researchers to become integral members of our quantitative modeling team. This team is dedicated to enhancing the predictive capabilities of our models using historical event data, as the excellence of our models is crucial to our company’s success.In this role, you will be responsible for designing, testing, and implementing innovative machine learning models in Python while continuously refining our existing top-tier solutions. As a small, focused company, Longshot offers you the opportunity to engage deeply in all facets of the R&D process, from high-level design to production implementation, while also learning from experienced industry professionals.The ideal candidate will possess a creative mindset and thrive in generating novel approaches to problem-solving. You will have the autonomy to explore and research the most suitable methods for the challenges presented. A solid mathematical foundation in Machine Learning principles and core statistics is essential, though prior knowledge of sports betting is not a requirement.We embrace a hybrid working model, with in-office work on Thursdays at our London (Farringdon) location and remote work for the remainder of the week. Our regular working hours are from 10 AM to 6 PM UK time, Monday to Friday, with a strong emphasis on flexible working to empower our team to achieve their objectives.Our interview process consists of the following steps:Introductory call (30 mins) - Discuss your background and interestsTechnical interview (60 mins) - Engage in modeling discussions and scenario-based questionsFull assessment day (9:30 AM–5 PM) - Tackle a real modeling challenge utilizing near-production dataQualifications A PhD or research Master’s degree in a quantitative, technical discipline (e.g., Mathematics, Physics, Machine Learning) from a reputable university Proficiency in modeling tabular data using Python Benefits Participation in an uncapped company bonus scheme, typically ranging from 10-20% of salary based on experience 10% matched pension contributions Private healthcare coverage Long-term illness insurance Gym membership Choice of hardware and setup for your development environment

Role OverviewJoin our dynamic Infrastructure Product Group team, comprising skilled DevOps Leads, engineers, team managers, and SecOps professionals. In this pivotal role, you will support and enhance our cloud infrastructure (AWS) while spearheading automation and optimization initiatives.Your responsibilities include implementing industry best practices for cloud network management, including VPC, subnets, ELB, NACL, NATs, and EIP. Additionally, you will oversee on-premise termination points and contribute to fostering an agile culture that empowers individuals, teams, and managers to maximize their effectiveness.

Join our dynamic team at mufginvestorservices as a Senior DevOps Engineer. In this pivotal role, you will drive the implementation of innovative DevOps practices, ensuring seamless integration and deployment of services across our platform. You will collaborate closely with cross-functional teams to enhance our CI/CD pipelines and automate processes, fostering a culture of continuous improvement.As a leader in our IT department, you will guide and mentor junior engineers, shaping the future of our technology stack while optimizing performance and scalability. Your expertise will be crucial in advocating for best practices and driving the adoption of cutting-edge tools.

Join our dynamic team as a Senior DevOps Engineer where you'll play a critical role in enhancing our infrastructure and development processes. You will collaborate closely with developers to streamline operations, improve system reliability, and ensure seamless application deployment. Your expertise will be invaluable in designing and implementing robust CI/CD pipelines, optimizing cloud infrastructure, and driving automation initiatives.

Role Overview Quantexa is hiring a Senior DevOps Engineer in London. This role focuses on building and improving cloud infrastructure, as well as strengthening continuous integration and delivery systems. Collaboration with engineers across teams is central to the work, with a strong emphasis on refining deployment pipelines for stability and growth.

Are you passionate about driving DevOps culture, enhancing automation, and making a tangible difference across engineering teams in a dynamic environment?At Elliptic, we are on the lookout for a Senior DevOps Engineer who brings over 10 years of DevOps expertise, including at least 7 years of hands-on experience with Kubernetes. We value individuals who take initiative, lead projects from conception through to execution, make data-driven decisions, and continuously seek to enhance systems and processes. In this critical role, you will help shape our platform strategy, collaborate with skilled engineers, and nurture a culture of reliability, security, and efficiency.Your Impact:You will play a pivotal role in transforming the way we approach DevOps, security, and reliability at Elliptic, fostering an environment of efficiency and autonomy. Join a growing team of dedicated engineers who embrace challenges and are unafraid to innovate. Our commitment to openness is reflected in our engineering teams, encouraging you to question norms and devise creative solutions to meet our customers' needs.Your Responsibilities:Provide expert DevOps leadership across all engineering layers.Promote DevOps, security, and reliability engineering practices within the engineering team.Design and provision resilient infrastructure across multiple regions and availability zones.Develop compliant, reliable, and feature-rich developer platforms focused on container orchestration.Facilitate Continuous Delivery and Deployment through CI/CD pipelines and GitOps tools.Support security and testing measures early in the development process, and manage progressive delivery in production environments.Enhance developer productivity and experience throughout the Software Development Life Cycle (SDLC).Optimize costs by adjusting infrastructure sizes and creating ephemeral, on-demand environments.Implement proactive monitoring for security and reliability using observability tools, including SIEM, APM, tracing, infrastructure metrics, and dashboards.Effectively eliminate toil through durable engineering solutions.

Location: London, UK - Hybrid (3 days in office)About the TeamThe Foundations team is responsible for developing the essential systems and tools that empower engineers at DoorDash and Deliveroo to create, deploy, and manage software efficiently at scale. We regard our infrastructure, CI/CD processes, and developer tools as products, crafted with the same level of precision and care as our customer-facing solutions. Our goal is to enhance engineering speed, reliability, and security as we revolutionize the global dining and shopping experience.About the RoleIn this role, you will work at the dynamic intersection of software engineering and cloud infrastructure. You will produce high-quality code to automate processes and develop internal tools while designing and managing scalable systems on AWS.This hands-on position focuses on optimizing the software development lifecycle, deployment, and operational practices throughout the organization — balancing coding, infrastructure design, and operational excellence.Your ResponsibilitiesDeveloping and maintaining software (primarily in Go) to automate infrastructure, streamline developer workflows, and enhance platform featuresDesigning, deploying, and operating secure, scalable systems within AWSCreating and maintaining CI/CD pipelines utilizing GitHub Actions, CircleCI, Buildkite, and other related toolsImplementing infrastructure as code and enhancing automation across various environmentsTroubleshooting and resolving sophisticated build, deployment, and production issues across application and infrastructure layersEnhancing observability, reliability, and performance of internal platforms and production systemsCollaborating with engineering teams to establish best practices for deployment, release management, and cloud architectureParticipating in technical design discussions and driving continuous improvements in DevOps methodologiesRequirementsExtensive experience in building and operating CI/CD systems using tools like GitHub Actions, CircleCI, or BuildkiteProficiency in writing and maintaining production-quality software in Go or equivalent languagesStrong background in cloud services, particularly AWSExperience with infrastructure as code tools such as Terraform or CloudFormationDemonstrated ability to troubleshoot complex issues across applications and infrastructureExcellent communication skills and a collaborative mindset

Alten seeks a DevOps Engineer in London to enhance the efficiency and reliability of its systems. This role collaborates with colleagues from a range of backgrounds, contributing to infrastructure and operations improvements. Key responsibilities Design, implement, and maintain scalable infrastructure in partnership with cross-functional teams Support initiatives to improve system reliability and simplify operational processes Location This position is based in London.

About UsAt Perk, we redefine travel and spend management through our innovative platform, designed to eliminate tedious manual work. Our comprehensive tools automate diverse tasks from travel bookings to expense management, allowing employees to focus on what truly matters.With over 10,000 companies, including renowned names like Wise and Breitling, relying on us, we’re addressing a staggering $1.7 trillion issue of lost productivity.Founded in 2015, Perk has expanded into a global entity with over 1,800 professionals across 12 locations, including our central offices in London and Boston. We strive for innovation, control, and simplicity in transforming the workplace experience.Our culture is built on core values such as ownership, delivering exceptional experiences, and teamwork. We believe in fostering curiosity and purpose to unlock your full potential. Our diverse talent team hails from the travel and SaaS sectors, representing over 70 countries. If you're eager to make a tangible impact and enhance the work experience for millions, we invite you to join us.Discover more about us at www.perk.com.

Join ARQ as a Senior DevOps EngineerARQ stands at the forefront of the fintech revolution, dedicated to transforming the way individuals and businesses interact with money globally. Our vision is to create seamless financial experiences that transcend borders, and we are actively building the foundational infrastructure necessary to achieve this goal. As we continue to grow, each new team member plays a pivotal role in shaping not only our product but also our culture and trajectory. If you're driven by ambitious challenges and aspire to make a significant global impact while working alongside an exceptional team, we invite you to explore this opportunity.Your RoleAs a Senior DevOps Engineer within our Platform team, you will be tasked with architecting, deploying, and scaling the cloud infrastructure that supports our global fintech platform. We seek an engineer with a software developer mindset who approaches infrastructure as a strategic product rather than merely as configuration. You will engage with multi-region clusters and GitOps workflows to bolster microservices across retail banking, business banking, and wealth management sectors. Our platform engineering culture prioritizes developer experience, type-safe infrastructure, and intelligent automation. If you are passionate about enhancing developer productivity, implementing Infrastructure as Code appropriately, and crafting resilient distributed systems at scale, we would be thrilled to connect with you.Your ResponsibilitiesDesign and implement AWS infrastructure adhering to Infrastructure as Code best practices.Develop reusable libraries that enforce best practices and expedite development processes.Oversee multiple Amazon clusters across the US, EU, and Mexico.Deploy and manage various services including RDS, Kafka, and Redshift.Construct and maintain CI pipelines.Create reusable pipeline templates for microservices architecture and containerized applications.Implement GitOps workflows to facilitate declarative application deployments.Establish monitoring and alerting systems utilizing tools such as Datadog, Prometheus, and Grafana.

Join Our Team as a DevOps Engineer!Smarkets is at the forefront of revolutionizing the betting industry, offering one of the most sophisticated prediction markets globally. With over £29 billion in volume traded since 2010 and a community of more than 200,000 traders, we are committed to delivering exceptional value through innovative technology.Our technology stack is built for scalability, reliability, and speed, utilizing Linux, Kafka, Postgres, Kubernetes, alongside Python 3, C++17, and React. We focus on creating robust infrastructure that not only meets institutional demands but also makes trading accessible to all. Our resilience through market fluctuations and industry changes sets us apart.We pride ourselves on our people and foster a high-performance environment where talent can flourish. Our team combines extensive business knowledge with a commercial approach to drive strategic growth.If you're passionate about shaping the future of prediction markets with cutting-edge technology and a customer-centric mindset, Smarkets is the right place for you!Role OverviewAs a key member of our DevOps Infrastructure Team, you will help build and maintain real-time distributed systems that drive our trading engine—ensuring they remain operational, ultra-low latency, and resilient on a large scale.This role is not just about infrastructure; you will enhance platform capabilities that simplify how our engineers build, test, deploy, and manage applications across our hybrid environment, which includes both self-hosted hardware and AWS cloud infrastructure.In this pivotal position, you will blend DevOps with platform engineering, playing a critical role in our mission.Your ResponsibilitiesPlatform Enablement: Design and sustain internal tools and workflows that enhance the developer experience within deployment pipelines, observability, and testing settings.Empower Developers (DevEx): Automate processes, optimize CI/CD pipelines (Jenkins, GitLab), and ensure safe, fast, and reliable deployments across various environments.Infrastructure Automation: Develop, manage, and scale Kubernetes-based microservices infrastructure on AWS using Terraform and Infrastructure-as-Code methodologies.Developer Experience: Collaborate closely with product engineers to create seamless paths for development, testing, and deployment.Operational Excellence: Monitor, troubleshoot, and maintain the stability of our systems through robust alerting and incident response strategies.

Join our dynamic engineering team at Hypersonica Productions Ltd. as a Senior Systems Engineer. In this pivotal role, you will lead the design and implementation of innovative systems that drive our cutting-edge projects. Collaborate with a talented group of engineers to enhance our systems architecture, ensuring optimal performance and reliability.Your expertise will contribute to the development of scalable solutions while mentoring junior engineers and fostering a culture of continuous improvement. If you are looking for a challenging opportunity to make a significant impact in a forward-thinking company, we want to hear from you!

Location: London, UK - Hybrid (3 days from the office)About the TeamJoin the Foundations team, where we create and maintain the essential systems and tools that empower Deliveroo and DoorDash engineers to innovate, deploy, and manage software on a grand scale. Our infrastructure, CI/CD processes, and developer tools are crafted with the same precision as our customer-facing applications. Our mission is to enhance engineering efficiency, reliability, and security as we redefine the way the world eats and shops.About the RoleIn this pivotal role, you will bridge the gap between software engineering and cloud infrastructure. You will write high-quality production code to automate processes and develop internal tools, while also designing and managing scalable systems within AWS.This hands-on position focuses on optimizing software development, deployment, and operational processes throughout the organization—striking a balance between coding, infrastructure design, and operational excellence.Your ResponsibilitiesDevelop and maintain software (mainly in Go) to automate infrastructure, streamline developer workflows, and enhance platform functionalities.Design, deploy, and manage secure and scalable systems in AWS.Create and oversee CI/CD pipelines utilizing tools such as GitHub Actions, CircleCI, and Buildkite.Implement infrastructure as code and boost automation across various environments.Diagnose and resolve intricate issues related to builds, deployments, and production across application and infrastructure layers.Enhance observability, reliability, and performance of internal platforms and production systems.Collaborate with engineering teams to establish best practices for deployment, release management, and cloud architecture.Engage in technical design discussions and advocate for continuous improvement in DevOps practices.QualificationsProven experience in constructing and operating CI/CD systems using platforms like GitHub Actions, CircleCI, or Buildkite.Strong proficiency in writing and maintaining production-level software.

Join our dynamic team as a DevOps Engineer at Collabera Inc., where you will play a pivotal role in our software development and IT operations. In this position, you will collaborate with software engineers to streamline development, automate processes, and enhance the integration and deployment pipelines. Your expertise will drive innovative solutions and ensure the reliability of our production systems.

Unity Advisory is a pioneering advisory firm.Designed for the AI-driven landscape, we operate with a streamlined, conflict-free, and client-focused model that integrates AI into every aspect of our operations.Without an audit practice, we eliminate audit-related conflicts, allowing us to dedicate our efforts to providing exceptional value to clients through agile and innovative, outcome-based commercial models. Our culture fosters collaboration within a flat structure, devoid of traditional partner profit and loss silos, as we strive for the best results for our clients.Position SummaryWe are seeking a skilled DevOps Engineer to take charge of our cloud platforms and enhance developer productivity across product teams, partner initiatives, and data operations. This role combines strategic platform leadership with practical engineering, creating streamlined processes that ensure delivery is rapid, secure, observable, and cost-effective. You will articulate the DevOps vision, establish best practices, and manage the shared infrastructure that supports both internal engineering and external client solutions.