215 jobs found

Who We Are Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches. Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla's customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers. Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together. What You'll Do As a Senior Analytics Engineer in the Data Analytics team, you'll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business. Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same. Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements. Deliver, and enable others to build, well defined, transformed, tested, documented, and code reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self serve, analyse, and build products and services upon it, getting reliable, consistent results. Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams. Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration). We're looking for someone who: Has experience setting up & developing dbt architecture using CI/CD practices (essential) Is highly proficient with SQL and data modelling best practices for optimising performance (essential) Has previously worked with visualisation tools such as Tableau or PowerBI (essential) Is confident collaborating and communicating with non technical stakeholders (essential) Has experience integrating dbt with other tools in the modern data stack (essential) Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential) Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable) Where You'll Be At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You'll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all Zoopla days in the office together plus a third in office day of your choosing. Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you'll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive Closure - business closed for period between Christmas and New Year Cycle to work and electric car schemes Free Calm App membership Enhanced Parental leave Fertility Treatment Financial Support Group Income Protection and private medical insurance Gym on site in London 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary

Who We Are Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches. Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla's customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers. Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together. What You'll Do As a Senior Analytics Engineer in the Data Analytics team, you'll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business. Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same. Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements. Deliver, and enable others to build, well defined, transformed, tested, documented, and code reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self serve, analyse, and build products and services upon it, getting reliable, consistent results. Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams. Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration). We're looking for someone who: Has experience setting up & developing dbt architecture using CI/CD practices (essential) Is highly proficient with SQL and data modelling best practices for optimising performance (essential) Has previously worked with visualisation tools such as Tableau or PowerBI (essential) Is confident collaborating and communicating with non technical stakeholders (essential) Has experience integrating dbt with other tools in the modern data stack (essential) Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential) Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable) Where You'll Be At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You'll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all Zoopla days in the office together plus a third in office day of your choosing. Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you'll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive Closure - business closed for period between Christmas and New Year Cycle to work and electric car schemes Free Calm App membership Enhanced Parental leave Fertility Treatment Financial Support Group Income Protection and private medical insurance Gym on site in London 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary

Senior Software Engineer - Core Services London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering. What You Will Do Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows. Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments. Own the platform's permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting. Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments. Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns. Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment. Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows. Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments. Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches. Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions. What you bring to the table A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python. Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD). Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems. Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable. Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters. API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars). Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation. Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows. CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments. Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications. AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty. Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++. Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts). Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments. Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Job Description About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments , including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager , Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory)

Beam was founded in 2012 by three engineers who saw the opportunity to modernize the dental benefits industry using technology. The first product was the Beam Brush, which was one of the earliest examples of the Internet of Things in healthcare. Today, Beam Benefits is available in 40+ states and has expanded beyond dental. Beam is now simplifying and modernising a robust suite of ancillary employee benefits through an intuitive digital platform, self-service tools, AI-powered pricing, support from Beam's helpful representatives. This winning combination allows us to deliver a simple, smart, and wellness-focused experience for brokers, employers, and members. We operate in a regulated environment where speed, reliability, and correctness must coexist. As we scale, AI is foundational to how we build. About the role Joining Beam Means Working in a complex and dynamic business Being supported and encouraged to improve every day by working collaboratively with a diversely skilled team Engaging in an energising, committed, and fun work environment Being empowered as an 'owner' of your subject matter and work Joining in our mission to forever change the way people access benefit Being a person of high character, high EQ, and amazing talent We're looking for a Platform Engineer to contribute to the evolution and maturation of our production platform and developer experience. This role sits at the intersection of software engineering and platform architecture, with a focus on building and maintaining systems that enable other engineers to move faster, more safely, and with less cognitive load. This is a technical, hands on role with growing ownership and responsibility. You will contribute to implementing forward-looking improvements and champion robust procedures to ensure the platform evolves strategically and reliably. AI will be a key component of the platform's future, helping identify opportunities for automation, eliminating repetitive work, and enabling engineers to move quickly and confidently. What You'll Work On Tactically apply agentic and generative AI to optimize platform development, operations, and growth. Collaborate with application teams to identify pain points and bottlenecks in workflows and implement solutions that streamline the developer experience. Design, implement, and maintain platform infrastructure that ensures high availability, predictable performance, and operational correctness, while balancing reliability, cost, and simplicity. Hands on implementation and maintenance of platform and infrastructure changes, spanning architecture to deployment, in alignment with established technical standards and direction. Actively participate in design and architectural discussions for platform systems, ensuring scalability, maintainability, and alignment with business goals. Contribute to the continuous improvement of platform processes and developer experience, fostering innovation and adoption of effective tooling. Who We're Looking For 5+ years of professional software engineering experience, with a track record of delivering high-quality, maintainable, and scalable software. Strong proficiency in full-stack or backend systems, with experience in modern web applications such as Ruby and React/TypeScript. Experience contributing to the design and implementation of scalable, high-performance architectures, internal platforms, or developer tooling. Experience with AWS core services and containerised workloads (ECS/EKS, Lambda, RDS, S3, etc.) and cloud infrastructure best practices. Experience identifying and applying AI or automation opportunities across the platform to improve efficiency, reliability, and developer experience, while thoughtfully evaluating trade offs and benefits. Excellent problem solving skills, with a focus on practical execution and reliability. Strong communication skills, capable of participating in technical discussions and collaborating on platform strategy. Familiarity with modern engineering practices, agile methodologies, and CI/CD pipelines. Location: Remote (Northern Ireland) This role is open to candidates who are currently resident in Northern Ireland and have the right to work in the UK. We value engineers who demonstrate GRIT - who pursue Growth in their craft, show Resilience under pressure, deliver measurable Impact, and strengthen the Team around them.

Staff Software Engineer, Device Integrations London, United Kingdom Full time Home-based R We are the creators of ClinSpark - the world's first CDISC ODM certified Phase I eSource and clinical trial automation system. ClinSpark (also known as the 'IQVIA Clinical eSource Platform') improves the speed, quality, and transparency of clinical research. Our product platform supports a large and growing set of device integrations, enabling data collected from trial subjects both onsite and remote to be immediately available for review by study teams and the sponsor. We're part of the Connected Devices group within IQVIA - a world leader in using data, technology, advanced analytics, and expertise to help customers drive healthcare - and human health - forward. We are a globally distributed team, working in a remote capacity. This approach offers all of us a great deal of freedom and flexibility. We value a healthy work-life balance. Family matters to us. Working in our team can be challenging, it is certainly never boring, and above all, it is incredibly rewarding. About you You are a creative thinker who strives to find efficiencies and solve problems. You are hungry to learn, self motivated, persistent, and detail oriented. You have a strong technical aptitude and an innovative approach to software development. You love being part of cross functional teams that build and deliver solutions. You have direct experience or a desire to work with medical devices and enable electronic data capture systems. You are passionate about contributing to projects that may positively impact millions of human lives. About the role You'll be part of a globally distributed, highly professional team of domain experts, product owners, project managers, software testers, and engineers tackling all aspects of our business and operations. You will design and develop software solutions based on business needs and requirements. These solutions primarily involve integrating medical devices (ECG, blood pressure, continuous glucose monitors, etc.) into our platform. Considering the range of technology used in our device portfolio, you can expect to interface with USB/serial port communication, SDKs/DLLs, web-based APIs, cloud microservices, and mobile applications. You will work at all layers of the application stack including front end user interface and, most significantly, backend development. You'll focus on software quality standards for all aspects of work by performing code reviews, establishing advanced software test methods, and conducting complex software tests. You will analyze and evaluate escalated issues regarding integrations, and communicate effectively with customers. You'll create and contribute to technical documentation of the product in support of SDLC, including software design documents, functional specifications, and change requests. Also, you will create diagrams and other visual assets to depict capabilities and workflows. You may assist in onboarding new software engineers to the team. This position is fully remote. Candidates in United States time zones will be at an advantage. Qualifications Bachelor's Degree in Computer Science, a related field, or equivalent experience. Minimum eight (8) years of software development experience. Advanced knowledge of Software Development Life Cycle (SDLC) processes and best practices. Expertise in implementation and support of complex software systems using healthcare domain knowledge. Technical leadership of a team, owning product architecture, solutions, and procedures. Strong analytical and problem solving skills. Excellent communication and interpersonal skills. Ability to work independently and in a remote team environment. Nice To Have Experience using Java, Grails, Groovy, Spring Boot, and/or SQL. Experience with various system communication protocols, such as HTTP, web sockets, SFTP, serial, Bluetooth, etc. Experience with various data formats, such as JSON, CSV, XML, HL7, etc. Advanced understanding of modern/scalable software architecture patterns. Knowledge of cybersecurity best practices. Experience with ETL pipelines and data warehousing techniques. Experience using CI/CD pipelines and other DevOps practices. Experience with Amazon Web Services (AWS) cloud-provider and Kubernetes infrastructure. Knowledge of Phase I-IV clinical trial operations and workflows. Expertise pertaining to clinical trial management software. Knowledge of applicable clinical research, regulatory and other requirements; i.e., Good Clinical Practice, HIPAA, GDPR, EMA, GAMP5, FDA 21 CFR Part 11. IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Rust Engineer About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high frequency trading, OTC, and DeFi trading desks. But we're more than a service provider. We're an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Mission statement We are seeking a Rust Engineer with trading experience and AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and demonstrable experience engineering mission critical trading systems are at a significant advantage but we welcome applications from other backgrounds too. As part of the engineering team in Capital Markets, you will drive continuous improvement in trading infrastructure and system performance. You will join a highly profitable, fast paced division within Keyrock, where you will be able to make a big impact while collaborating in a global, fully remote team. This role is open to candidates located in European time zones. Job description Develop and optimise low latency, mission critical trading systems Collaborate with quants, traders, and engineers to enhance trading strategies Maintain and improve trading infrastructure, ensuring high performance and stability Design and implement efficient, scalable, and resilient trading solutions Troubleshoot and enhance exchange connectivity and execution speed Support functional and component testing for critical trading components Background and experience Technical Skills Strong experience in Rust (proficiency with Tokio framework is a bonus) Prior experience in a trading environment (HFT, Market Making, Prop Trading, or similar) Knowledge of AWS, Linux systems, shell scripting, and troubleshooting Experience with Python and/or scripting languages for trading strategy development Familiarity with trading systems, FIX / REST / WebSocket APIs, and market data feeds Understanding of networking fundamentals (latency, TCP / UDP, packet analysis) Proficiency in cloud and containerised environments (EKS, Kubernetes, Docker)

Senior Product Manager - Hybrid Cloud ServicesApplylocations: UK Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: R Grow Your Career with GTT! Join GTT to be part of a global mission to simply and securely connect people and data through innovative, AI-driven solutions. We empower curious, adaptive professionals to take ownership of their work, offering a culture where your ideas have a visible, real-world reach. If you are energized by complex challenges and a supportive team that lifts each other up, GTT is the place to build a rewarding career. About the Role This role supports the strategy, development, and lifecycle management of GTT's Hybrid Cloud and Managed Cloud Services, spanning edge cloud, private cloud, managed public cloud, and professional services. The role combines strong technical understanding of cloud services with commercial and market-driven product insights, working closely with product engineering, operations, sales, to deliver competitive GTT cloud services. What you'll be doing: Help define the product vision, strategy, and roadmap for Hybrid and Managed Cloud Services across edge, private, and public cloud. Lead the development of Product Requirements Documents (PRDs), translating market, customer, and commercial needs into clear technical and business requirements. Product lead matrix organisations, working closely with architecture, engineering, operations, sales, marketing, and partners. Drive the commercial success of cloud services Help shape and drive GTT's cloud portfolio in alignment with the Envision platform and broader GTT services. Work with Hyperscalers (AWS, Azure, GCP), identify and understand Hyperscaler solutions in relevance to GTT and the managed services ecosystem. Enable sales and solutions teams with positioning, value propositions, and product guidance, support key bids and strategic accounts. Represent GTT in customer engagements, analyst briefings, and industry forums. What we are looking for: Essential Experience/Qualifications: Proven experience in product or service portfolio roles within telecom, managed services, or cloud service providers. Strong understanding of hybrid cloud managed public cloud, IaaS/PaaS, containers, virtualization, and managed services operating models. Strong understanding of networking and security for cloud services, including resilience and disaster recovery. Strong understanding of data services, including backup, databases, and data security. Ability to balance technical depth and commercial decision-making, including cloud cost models and sizing. Hands-on experience writing clear, structured PRDs for both customer-facing and engineering audiences. Strong product lifecycle management capability. Strong stakeholder management and communication skills, with the ability to influence across senior technical and commercial teams. Comfortable engaging with enterprise customers and senior internal leadership. Preferred Degrees (Bachelor's or Master's) : Engineering, IT, Telecoms, Network/Systems Engineer Relevant Degrees to be considered:Business Administration / Management / Engineering Management, Digital Transformation / Technology Management Desirable Experience/Qualifications: MBA or equivalent postgraduate qualification Cloud certifications (AWS, Azure, GCP, Kubernetes, ITIL, TOGAF, FinOps) Other Relevant technical or product management training & certifications Experience working with hyperscalers, system integrators, or managed service providers. Exposure to enterprise customers and cloud transformation programmes. Experience in quote-to-cash processes and service monetisation models. Core Competencies: Strong understanding of hybrid cloud managed public cloud, IaaS/PaaS, containers, virtualization, and managed services operating models. Strong understanding of networking and security for cloud services, including resilience and disaster recovery. Strategic and product-oriented thinking Strong commercial and business acumen Technical depth combined with customer and market understanding Leadership and influence in a matrix organisation Stakeholder management and cross-functional collaboration Clear communication and storytelling Structured problem solving and decision-making Customer-centric mindset and execution focus Hours/Travel/Shift: Normal Office Hours. Remote with flexibility to travel as and when required for customer/team meetings. Why Join GTT? At GTT, you'll join a global, collaborative culture built around ownership, customer focus and continuous learning . Adaptive mindset : We meet change head-on to build the capabilities we need now. We take personal ownership of our professional development to keep pace with change and actively drive it. Collective impact: We treat innovation as a team sport, working powerfully together to create extraordinary impact. We collaborate openly and with a shared purpose and amplify our unique human strengths to solve complex challenges that technology alone cannot. Customer ownership: We own our customers' success, whether an internal stakeholder or an external client. We take full accountability, anticipate their needs and create smooth experiences to build trust with every touchpoint. In an automated world, personal ownership is GTT's competitive edge.You'll have the opportunity to make a visible impact, grow your career and help shape how GTT delivers value to enterprise customers worldwide.

Devops Engineer About MiFinity: MiFinity is a dynamic, licensed, and regulated fintech leader offering cost-effective, end-to-end payment solutions for businesses, merchants, and consumers. With over 20 years of experience in online payments, we have built a highly secure technology platform and a growing global network of financial and banking partners. Our core service, the MiFinity eWallet, enables seamless money transfers worldwide through our extensive bank network and local payment options. As we continue to expand across multiple global verticals, we foster a collaborative, inclusive work environment while maintaining a start-up culture that values flexibility, autonomy, and innovation across all of our offices in Dublin, Malta, and Belfast. We are currently looking for a candidate to join our team to help accelerate our platform migration to AWS ECS using Terraform, GitHub Actions and Datadog. Over the last 6 months, our team has successfully deployed Datadog as our observability platform, achieving 95% monitoring coverage across all services and significantly improving our incident response capabilities. Moving forward, we're focused on completing our ECS migration, implementing advanced GitOps workflows, and building self-service developer platforms to enhance our engineering velocity. Benefits: Private Healthcare plan post probation. Generous Pension Scheme. Remote work allowance post probation beginning at 3 weeks in year 1 and increasing with tenure. Additional special leave days such as extra day for birthday/moving home, extra days for marriage, graduation, citizenship ceremony. Study and Exam Leave to further support career and educational growth. Continuous Development Program sponsoring further education through courses and workshops. Responsibilities: Design and implement our Kubernetes (ECS) platform on AWS Maintain and optimise our CI/CD pipelines using GitHub Actions Implement and manage observability using Datadog across our platform Support and enhance our AWS cloud infrastructure Architect, review, audit, optimise and document our deployment processes Follow best practice change management processes aligned with our ISO27001 and PCI-DSS requirements Work with development teams to enable self-service capabilities (developer experience) Assist with incident response and platform support Analyse and optimize cloud costs across our infrastructure Core Skills: 3+ years' experience in a senior AWS platform/DevOps engineering role Experience designing AWS multi-region, highly available architectures Strong Kubernetes experience, particularly with AWS ECS Strong experience working with AWS ECS docker migrations Experience implementing and managing Datadog observability Strong AWS knowledge across compute, database and security services Experience with Infrastructure as Code using Terraform Solid understanding of container security and best practices Strong scripting skills (Python, Bash) Experience working in regulated environments (PCI-DSS preferred) Self-motivated individual with strong communication skills Ability to work on projects with multiple workstreams and competing deadlines Good to have: Experience with GitOps workflows and tools Service mesh technologies Platform engineering concepts AWS cost optimization Linux administration Database administration Financial services domain Agile/SAFe methodologies For further information and to submit your application, click the apply icon.

Ready to make travel easier for millions? Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We're curious problem-solvers who love tackling challenges that haven't been solved before and building tools and processes that scale impact across the company. Airalo's fully remote Data team is growing. You'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. You'll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. What You Will Do: Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo's data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real time data capabilities as the business matures beyond batch processing. Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem solving to structured, agile delivery. Oversee the maintenance and optimization of high performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company wide goal of 80 % self serve analytics. Must-haves: 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands on background with major cloud platforms (GCP preferred) and cloud native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation. Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Nice-to-have: Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real time event processing. Experience in marketplace, B2C, or high volume transactional businesses. Previous work in globally distributed data environments (multi currency, multi region, multi language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a 'One to Watch' on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. Duties & Responsibilities A UK Government Security Check (SC) clearance is required for this role. If you don't hold SC clearance, we will support you to apply assuming you have lived and worked in the UK for a minimum of 5 years. Role Overview: As a Lead Software Engineer (Full Stack), you will play a pivotal role in designing, developing, documenting, and deploying software for our government client. You will focus on high availability, low latency, and scalability to meet their requirements. Collaboration is key, as you actively participate in elaborating and estimating user stories and work closely with cross-functional feature teams to ensure efficient operations. In addition, you'll be responsible for maintaining and optimizing our Continuous Deployment pipelines and ensuring the operational stability of your team's services. This is a client-facing role and the focus will be roughly 60% front-end, 40% back-end Design, develop, document and deploy new or enhanced features to front-end and backend services that meet functional / non-functional business requirements Actively participate in the elaboration and estimation of user stories, promoting effective teamwork. Lead in building frequent, small releases to maintain the team's development momentum. Collaborate closely with fellow engineers in cross-functional feature teams, fostering a culture of mutual support. Oversee the building, optimization, and operation of Continuous Deployment pipelines. Assume operational responsibility for the services your team owns, ensuring high availability and scalability. Core Competencies Bachelor's degree or equivalent in Computer Science or a related field. A minimum of 5 years of experience in a full stack engineer capacity (equivalent qualifications are also acceptable). Proficiency in JAVA programming, with a strong emphasis on Spring Boot. Fluent in writing JAVA code, demonstrating coding skills. Experience with platforms like Kafka or similar technologies. Competency in integrating with backing services such as PostgreSQL, Redis, or S3. Strong adherence to engineering best practices, including continuous delivery, clean code, documentation, defensive programming, automated testing, and code reviews. Experience working in Agile development and/or DevOps teams. Proficiency in using source control tools such as GitHub/GitLab. Background in Test-Driven Development, utilizing appropriate tools and frameworks. Familiarity with Big Data technologies. Experience with Public Cloud services, particularly AWS. Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. Benefits In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equal Employment Opportunity Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

Technical LeadApplylocations: Northern Ireland - Belfasttime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R51352 Job Summary: Job Description : Who Are We At Wellington IT? At Wellington IT we provide the most successful range of Credit Union software in Northern Ireland/Ireland, currently moving billions each year and managing funds for more than 1 in 4 people. Our customers use our software to power every aspect of their financial services business from savings and loans, through to business intelligence, online banking, mobile apps, debit card services and ATMs.Wellington IT is part of Volaris, an operating group of Constellation Software Inc, a large corporate business based in Canada. Volaris acquires and strengthens Company's within the markets they compete, enabling them to grow - that growth comes through organic measures such as new initiatives and product development, day-to-day business, and through complementary acquisitions.Our people are at the heart of everything we do, Wellington IT offers fantastic career growth opportunities, learning programs, a space you can thrive and a culture that's all about continuous improvement. This Year we are proud to say we have achieved our Great Place To Work accreditation across both UK & Ireland! Your Mission As a Technical Lead at Wellington IT, your mission is to drive technical excellence and innovation within a delivery team, leading the evolution towards AI-assisted development workflows and modern engineering practices. You will represent the technology aspect of the delivery team triumvirate, guiding engineers as we transition to a pod-based delivery model whilst maintaining hands-on technical contribution. Your experience with AI coding assistants, spec-driven development, and agentic workflows will be instrumental in accelerating delivery and elevating team capabilities. The ideal candidate is an experienced technical leader who combines deep engineering expertise with strong people skills, passionate about leveraging AI-native development tools(such as GitHub Copilot, Amazon Q Developer, or similar) to transform how teams deliver value whilst fostering a culture of continuous learning and innovation. Key Responsibilities Technical Leadership and AI-Assisted Development Lead technical direction for your delivery team, championing AI-assisted development workflows and spec-driven approaches to accelerate delivery Guide engineers in effectively leveraging AI coding assistants (such as GitHub Copilot, Amazon Q Developer, Cursor, or similar tools) to enhance productivity and code quality Establish standards and best practices for AI-native development, including prompt engineering, code generation review, and quality assurance Keep up with industry best practices in fintech and AI-assisted development, understanding the impact of technology choices on the team Provide hands-on technical contribution whilst balancing leadership responsibilities Ensure proposed solutions are feasible within technical constraints and align with overall architectural vision Team Leadership and Line Management Line manage 4-5 engineers, providing regular 1:1s, performance feedback, and career development support Actively mentor engineers using coaching techniques to help them arrive at solutions, identifying areas for focus and improvement Read team morale and respond proactively to engineer needs, working to improve team engagement and satisfaction Ensure your team has the right expertise and skills to deliver on squad goals Foster a culture of learning and experimentation, providing resources and support for continuous professional development Pod-Based Delivery Model Drive the adoption of pod-based delivery practices Work closely with Product Owner and Delivery/Scrum Master as part of the triumvirate model Facilitate effective collaboration within the pod and across dependencies with other delivery teams Keep the delivery team focused on delivering measurable value aligned to company goals Effectively manage deliverables, ensuring prioritised work is planned and valuable Balance new feature delivery with technical debt resolution and customer support priorities, ensuring sustainable pace" Stakeholder Engagement and Communication Explain the impact of your pod's work to non-technical stakeholders in clear, engaging terms Communicate team goals to engineers in ways that connect their work to company success and business value Work with Product Managers to define feasible metrics and success criteria, helping shape pod goals to deliver business value Regularly run project/epic kick-off meetings and facilitate collaborative sessions with stakeholders Proactively inform the triumvirate and stakeholders on progress, blockers, and delivery estimates Technical Excellence and Innovation Revise and restructure existing frameworks and systems, applying advanced technology solutions including AI-assisted tooling to streamline operations Set strategic direction for AI-native development adoption within your pod, including agentic workflows where appropriate Identify problems with technology, tools, and processes; encourage engineers to own investigations and proposals for fixes Actively work to remove distractions and low-impact work from the delivery team Keep up with industry best practices in both fintech and AI-assisted development ,championing their adoption where appropriate Drive prioritisation frameworks that balance innovation, technical debt, and customer retention objectives Execution and Delivery Estimate delivery of work across the delivery team with accuracy, managing deliverables toensure prioritised work is valuable Conduct technical feasibility studies for proposed requirements Delegate effectively to focus on unblocking engineers and actively removing impediments Feed proposals to the technical roadmap to keep the platform evolving Ensure delivery of quality software that meets business and customer needs whilst maintaining focus on technical debt reduction and customer satisfactions Skills & Experience Essential: Proven experience as a Technical Lead or Senior Software Engineer with leadership responsibilities Strong hands-on technical skills across multiple systems and technologies relevant to fintech/banking software Demonstrated experience with AI coding assistants (GitHub Copilot, Amazon Q Developer, Cursor, or similar) in production development Track record of implementing spec-driven development and AI-assisted workflows to accelerate delivery Experience successfully mentoring and developing engineers Experience working in agile/scrum delivery teams with Product Owners and stakeholders Excellent communication skills with ability to explain complex technical concepts to non-technical audiences Experience estimating and delivering work in iterative cycles Strong problem-solving abilities and architectural thinking Highly Desirable: Experience with Oracle databases, Java/C#, or modern web technologies Background in financial services or regulated industries Familiarity with CI/CD, DevOps practices, and modern development tooling Experience implementing or transitioning to pod-based delivery models Track record of driving adoption of AI-assisted development practices or new technologies within teams Knowledge of agentic AI frameworks (Lang Chain, Lang Graph, Auto Gen) or prompt engineering techniques Experience with cloud platforms (AWS/Azure) and modern application architectures Role Competencies Leadership: Able to support and lead technical direction in an agile team; actively mentors engineers and uses coaching techniques; manages team morale and responds to needs Domain Expertise: Keeps up with industry best practices; understands impact of technology choices; can identify problems and drive improvements Interpersonal Skills & Communication: Explains impact to non-technical stakeholders; engages team with goals; facilitates collaborative sessions; works to make engineers understand company objectives Initiative & Innovation: Identifies problems with delivery team and process; sets strategic direction for AI-assisted development adoption; encourages culture of learning and experimentation with modern development tools Execution: Estimates delivery across team; manages deliverables effectively; ensures prioritised work is valuable; actively removes blockers Customer-centric: Facilitates workshops with stakeholders; demonstrates how solutions meet needs; addresses customer preferences with technical alternatives Business Acumen: Understands and communicates goals across teams; helps shape team goals to deliver business value whilst balancing technical debt reduction and customer retention priorities Wellington IT Competencies Integrity Energy & Drive Initiative Domain Expertise Resilience Execution Customer Centric Team Building Wellington IT Culture & Values Commitment - We are committed to the success of our colleagues and customers Teamwork - We do amazing things when we work as a team Respect - We value and seek everyone's contribution Honesty - We are open and honest in everything we do Positivity - We embrace and inspire positivity in each other Leadership - We lead by example with our words, our actions and results What We Offer Competitive base salary Bonus Scheme Annual leave (36 days incl your birthday off) Training & Development (Internal & External) Market leading workplace pension (15% matched) Private Healthcare Scheme - AXA, UK Enhanced maternity leave Remote/Hybrid Working Flexible start / finish times Family related benefits Excellent Health & Wellbeing Initiatives Worker Type: Regular Number of Openings Available: 1