Senior Software Engineer - Platform at Longshot Systems | London

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.

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 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.

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

About the TeamAt OpenAI, our Platform Systems team is at the forefront of innovation, merging advanced AI technologies with large-scale distributed systems. We create the engineering and research infrastructure essential for training OpenAI’s premier models on some of the world's most powerful, custom-designed supercomputers.Our dedicated team develops critical model training software, delving deep into the technical stack to enhance collective communication, optimize compute efficiency, refine parallelism strategies, and improve fault tolerance, failure detection, and observability. The systems we engineer are pivotal to accelerating OpenAI’s research, ensuring reliable and efficient training at the cutting edge of technology.We foster close collaboration with researchers throughout the organization, consistently integrating insights from across OpenAI to advance our training platform.About the RoleAs a Software Engineer specializing in Platform Systems, you will architect and develop distributed systems that enhance visibility into large-scale training workloads, ensuring their reliable operation at scale.Your responsibilities will include engineering failure detection, tracing, and observability systems to identify suboptimal or malfunctioning nodes, revealing performance bottlenecks, and enabling engineers to optimize extensive distributed training jobs. This infrastructure is vital for the functionality of OpenAI’s training stack and is continuously evolving to accommodate new use cases and increasingly intricate workloads.This position is central to our training infrastructure, merging systems engineering, performance analysis, and large-scale debugging.In This Role, You WillDesign and implement distributed systems for failure detection, tracing, and profiling large-scale AI training tasks.Create tools to detect slow, faulty, or erratic nodes, providing actionable insights into system performance.Enhance observability, reliability, and performance across OpenAI’s training framework.Diagnose and resolve challenges in complex, high-throughput distributed environments.Collaborate with systems, infrastructure, and research teams to elevate platform capabilities.Adapt and extend failure detection and tracing systems in support of new training methodologies and workloads.You Might Thrive in This Role If YouPossess a strong passion for performance, stability, and observability in distributed systems.Have experience with large-scale systems and are excited to tackle complex challenges in AI infrastructure.

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 Multiverse as a Senior Software Engineer specializing in Platform Engineering. In this pivotal role, you will leverage your expertise to design, build, and enhance our platform, ensuring it meets the highest standards of performance and reliability. Collaborate with cross-functional teams to deliver robust solutions that drive the success of our innovative programs.

Join our dynamic team at physicsx as a Senior Software Engineer focused on Platform Operations. In this role, you will be instrumental in enhancing our platform's performance and reliability, ensuring exceptional user experiences. You will collaborate with cross-functional teams to design, develop, and implement robust software solutions that meet the evolving needs of our users.

Join our dynamic team at PhysicsX as a Senior Software Engineer specializing in Platform Runtime. In this pivotal role, you will lead the design and implementation of our software platform, ensuring high performance and scalability. Collaborate with cross-functional teams to create innovative solutions that drive the future of technology.

About SequenceJoin Sequence and play a pivotal role in creating a transformative platform that empowers businesses to streamline their payment processes. Already processing over $1 billion in annual invoice volume, we're on a remarkable growth trajectory.Our cutting-edge, AI-powered revenue platform is designed specifically for modern finance teams, replacing outdated spreadsheets and clunky legacy systems with intuitive software that enhances productivity.Trusted by Cognition, incident.io, MoonPay, and more than 100 high-growth companies, we manage their entire revenue cycle—from quoting and billing to revenue recognition.Founded by experienced entrepreneurs, we achieved a remarkable 10x growth in ARR last year and recently secured a $20 million Series A led by 645 Ventures, with participation from a16z and esteemed founders and CFOs from notable companies like Decagon, Klaviyo, and Wise.What is it like to work at Sequence?At Sequence, you'll be part of a small team with significant opportunities for impact and ownership. You will engage in meaningful work, connect directly with customers, and grow with the company.If you're ready to do the best work of your career at a rapidly scaling company, we would be thrilled to meet you.The RoleWe are seeking skilled software engineers with robust backend and cloud infrastructure experience to develop and enhance the systems that drive billing for contemporary B2B companies.You will take ownership of infrastructure critical to our revenue stream, where precision is paramount and downtime is not an option. Our usage events platform processes each merchant action that influences customer billing, making it one of our most vital systems. You will contribute to the evolution of this platform to accommodate exponential growth while ensuring impeccable accuracy.This is a unique opportunity to join at an early stage where you can make significant architectural decisions while having real customers relying on your work. You'll design systems that manage high-velocity event streams, make technical choices that optimize cost and performance at scale, and establish infrastructure that prioritizes reliability.What You'll Do:Own critical event infrastructure. You'll develop systems that process customer usage data essential for billing and invoicing, designing event streaming pipelines that manage high throughput with minimal latency, and building robust systems where data accuracy is non-negotiable and uptime is measured in nines.

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 Overview Writer is hiring a Senior Software Engineer to help build and improve our Enterprise AI Platform. Based in London, this role centers on designing and developing software that supports efficiency and better user experiences for a range of clients. What You Will Do Develop and maintain software for our Enterprise AI Platform Work with cross-functional teams to deliver reliable and scalable solutions Contribute ideas and technical expertise to shape the direction of AI products at Writer Collaboration This position works closely with engineers, product managers, and other teams to ensure our software meets client needs and quality standards. Your input will help guide the evolution of AI tools within the company.

Join Algolia as a Senior Software Engineer specializing in User Interface and Connectors Platform. In this pivotal role, you will contribute to the development of innovative UI solutions that enhance user experience across our platform. Collaborate with a talented team of engineers to design, implement, and optimize various connectors, ensuring seamless integration with our services.We are looking for a candidate who is passionate about technology, thrives in a fast-paced environment, and is eager to push the boundaries of what is possible in software engineering.

Location: London (E1) Hybrid working model: Work from the office two days each week and remotely for three, with flexibility for more office time if preferred. Role overview Goodlord is expanding and hiring a Senior Platform Engineer to lead the Azure-native core of a dual-cloud platform (Azure and AWS). This position blends infrastructure, security, and developer experience. The main focus is to keep APIs and serverless systems reliable, while guiding the shift toward a Kubernetes-native setup. What you will do Manage Azure workloads, including Function Apps, Cosmos DB, and Event Grid, to maintain reliability, scalability, and security in production. Design and implement Infrastructure as Code with Terraform, ensuring consistent environments across development, staging, and production. Lead the containerization approach, building and deploying Kubernetes workloads in managed cloud environments such as AKS and EKS. Enhance logging and monitoring using tools like Datadog and Azure Monitor, support ISO 27001 compliance, and strengthen cloud security for identity and networking. Explore AI-driven tools (such as Claude Code) to improve platform operations and developer productivity. Mentor engineers and help them make the most of the platform. Requirements Extensive experience with Azure and building cloud-native workloads, including APIs, serverless, and event-driven systems. Proven use of Infrastructure as Code tools like Terraform in production environments. Hands-on experience with Docker and Kubernetes on managed cloud platforms. Strong understanding of cloud networking, security, and monitoring best practices. Effective scripting skills, experience supporting CI/CD pipelines, and an interest in mentoring others. Motivation to coach and support team development. Why Goodlord? Two in five people in the UK rent their homes. Goodlord is working to set the standard for rental platforms and is committed to improving the renting experience for everyone involved.

Join Wise, a leading technology company, as a Senior Software Engineer specializing in our cutting-edge marketing platform. In this role, you will be instrumental in designing, developing, and optimizing features that enhance our customer experience and drive engagement. Collaborate with a talented team of engineers and product managers to deliver scalable solutions that align with our business goals.

Tipalti Solutions seeks a Senior ERP Systems Software Engineer based in London. This role centers on designing and building ERP solutions that align with both customer needs and company objectives. Collaboration across departments is key, as the position involves working closely with other teams to refine and expand the ERP software. Main responsibilities Lead the architecture and development of ERP systems Work with cross-functional groups to enhance software features Drive updates and improvements to existing ERP products Use deep ERP knowledge to address complex technical issues Requirements Significant experience working with ERP systems Strong foundation in software engineering and solution design Proven ability to collaborate with multiple teams Focus on delivering dependable, high-quality solutions

About hyperexponential (hx)At hyperexponential, we are pioneering an AI-driven platform that empowers crucial decision-making in a £7 trillion industry. Our technology influences life-altering outcomes, from the successful launch of rockets to the deployment of autonomous vehicles and community recovery following major disasters.The insurance sector has historically relied on outdated tools for making multi-billion-pound decisions. We are transforming this landscape by integrating data, AI, and human expertise into a cohesive platform that accelerates the path from submission to decision. Our goal is to enable insurers to operate with increased speed, intelligence, and confidence in risk management.With backing from a16z, Highland Europe, and Battery Ventures, we are expanding our global reach, already serving nearly 50 of the world’s largest insurers, maintaining a zero churn rate, and facilitating billions in premiums through hx.What began as a singular product has evolved into a comprehensive, multi-product platform that supports every stage of pricing and underwriting. Our commitment to AI is evident as we develop innovative tools, such as the world's first domain-specific AI peer programmer for insurance, and redefine workflows in the industry.At hx, the value of our work is not bound by titles or tenure; it is determined by the challenges we embrace and the discipline we exhibit. Here, you will collaborate with inspiring peers, tackling significant challenges and delivering impactful results in a company designed for resilience.If this resonates with you, we invite you to join us in shaping the future.About the Platform TeamThe Platform team at hx establishes the critical foundation that enables engineering teams to deploy secure and scalable applications swiftly. As we pivot towards an AI-first platform, we focus on self-service infrastructure, intelligent automation, and reusable components, all aimed at enhancing developer productivity and operational excellence. This is not about maintaining the status quo; we are reimagining modern software delivery.As a Senior Platform Engineer, you will play a pivotal role in this transformation. You will create platform capabilities that prioritize security, reliability, and best practices as standard, while embedding AI into our processes to minimize manual efforts and expedite cycles. Collaboration with engineering, security, and product teams will be essential as you gather insights, encourage adoption, and elevate our infrastructure standards.This role requires a sense of ownership that extends beyond mere tasks; you will deliver significant capabilities from start to finish, assess their impact, and continuously push the envelope of what exceptional infrastructure entails.

About FreshaFresha is the premier marketplace platform in the beauty and wellness sector, trusted by millions of consumers and businesses around the globe. With over 130,000 businesses and 450,000 stylists using our platform, we have successfully processed over 1 billion appointments to date.Headquartered in London, United Kingdom, Fresha operates from 15 offices across North America, EMEA, and APAC.Our platform enables consumers to discover, book, and pay for beauty and wellness appointments with local businesses. In turn, beauty and wellness professionals utilize our comprehensive platform to manage their operations seamlessly through innovative business software and financial technology solutions.Fresha’s ecosystem equips merchants with all essential tools for efficient business management, including appointment bookings, point-of-sale systems, customer record management, marketing automation, loyalty programs, beauty product inventory, and team management.Our consumer marketplace enhances revenue potential for partner businesses by leveraging online bookings and automated marketing through mobile applications and advanced integrations with leading tech brands like Instagram, Facebook, and Google.Role OverviewAs Fresha embarks on its next phase of global expansion, the Platform team plays a crucial role in ensuring that this growth is swift, secure, and sustainable.In your capacity as a Senior Platform Engineer, you will hold complete responsibility for the design, deployment, and operation of our platform and services. Your primary objective is to eliminate obstacles for engineers, minimize operational risks, and ensure that the platform effectively scales in alignment with the business's growth.Your mission is to provide engineers with the appropriate tools, methodologies, and infrastructure necessary for them to deliver their work efficiently, safely, and confidently.We place a strong emphasis on the impact of our work on customers, even when the tasks are internal; our platform improvements are aimed at enhancing the overall customer experience.To cultivate a collaborative work environment that thrives on in-person interactions and teamwork, all employees at Fresha are required to work from our dog-friendly office four days a week, with the flexibility to work remotely every Wednesday. The office is located at: The Bower, The Tower, 207 Old St, London EC1V 9NR.

About Gigs Gigs builds a platform that lets tech companies add global mobile connectivity to their products. The goal: make integrating telecom as simple as integrating payments. By automating provisioning and removing telecom hurdles, Gigs helps businesses from fintechs to HR platforms offer mobile services without the usual complexity. The team numbers around 100 people, spread across the US and Europe. Gigs has raised close to $100 million from investors including Ribbit Capital, Google, and Y Combinator. The company brings together engineers and product leaders from places like Stripe, Airbnb, and Shopify, all focused on solving technical and regulatory challenges in telecommunications. Curiosity, creativity, and a drive to shape the future of telecom matter here. Gigs welcomes people who want to tackle tough problems and make an impact. Core Values Speed: Move quickly and deliver. Ambitious deadlines are the norm, and each week counts. Ownership: Spot a problem? Step up and fix it without waiting for approval. Customer Obsession: The success of customers is central to every decision. Ambiguity: Work often involves making decisions with incomplete information. Judgment and instinct matter. First Principles: Question assumptions and dig into the reasons behind how things are done. Role Overview: Senior Platform Engineer (London) This role sits at the heart of Gigs’ technical operations. Senior Platform Engineers design, build, and maintain the infrastructure and developer tools that power the company’s connectivity and payments platform. The work enables product teams to ship faster and more reliably, supporting growth at scale. The Foundation team owns the core systems every Gigs engineer depends on: CI/CD pipelines, cloud infrastructure, observability, deployment tools, and shared platform services. Taking on complex infrastructure challenges is a key part of the job, with a focus on keeping systems efficient and dependable.

Senior Software EngineerBecome a key player in our mission to revolutionize the shopping and dining experience, where innovation, impact, and growth are at the forefront of everything we pursue. Our Engineering teams tackle intricate technical challenges across a global, three-sided marketplace, constructing and scaling systems that cater to millions of customers, riders, and partners daily.From real-time logistics to robust infrastructure and marketplace optimization, we design, build, and operate technology that fuels Deliveroo’s expansive growth.We seek a Senior Software Engineer to join our London (Hybrid - 3 days from the office) team. In this pivotal role, you will enhance code structure and architecture while leading project planning to maximize efficiency and reliability across our production systems.Familiarize yourself with our Engineering team — discover what motivates us, our work culture, and what you can anticipate.Your ResponsibilitiesHere’s what your day-to-day might encompass:Pursue Technical Excellence: Refine code structure and architecture within your team’s domain, conducting impactful code reviews to ensure quality and scalability.Steer Project Planning: Anticipate dependencies and risks, collaborating closely with Product and Design to ensure seamless delivery of complex features.Enhance Operations: Streamline the maintenance and operation of production systems, fostering visibility, health, and operational readiness.Collaborate & Influence: Cultivate relationships across engineering teams to uncover collaboration opportunities and influence the broader technical roadmap.Mentor & Recruit: Facilitate the personal development of your colleagues through technical mentorship and actively participate in engineering interviews to expand our team.Desired QualificationsOur ideal candidate will bring robust expertise in several of these areas and a willingness to grow in others:Solid Engineering Principles: A strong commitment to crafting readable, well-designed, and thoroughly tested software.Backend Proficiency: Extensive experience in developing web-based applications (we utilize Go, Ruby/Rails, Python, Scala, and Rust).Data Proficiency: Familiarity with data handling and optimization techniques.