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Enterprise Cybersecurity Analytics Engineer Join a leading Cybersecurity Science & Analytics team building advanced data-driven solutions to tackle evolving cyber threats. You'll work with cybersecurity specialists, data scientists, and engineers to develop innovative analytics, AI/ML models, and scalable data platforms. Role Overview A senior technical position focused on designing and delivering advanced analytics solutions for cybersecurity. You'll contribute to rapid prototyping, production engineering, and innovation across data, AI, and security domains. Key Responsibilities Build and optimise data pipelines, datasets, and analytics platforms Develop AI/ML models, detections, and security automations Support cloud platforms and production environments Conduct R&D on emerging technologies and cyber threats Collaborate with teams to deliver data-driven cybersecurity solutions Respond to urgent security threats and vulnerabilities Skills & Experience Strong background in data engineering, analytics, or software development Experience with cloud platforms (Azure preferred), big data tools (eg Spark, Databricks), and Python Knowledge of cybersecurity domains (eg network, cloud, threat detection, incident response) Experience in AI/ML, data science, or advanced analytics Ability to build scalable data products and security applications Requirements Degree in Computer Science, Data Science, Engineering, or related STEM field (or equivalent experience) Strong problem-solving skills and eagerness to learn

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.

About The Role We are seeking a Senior Data Engineer with deep expertise in SQL, data modelling, and ETL development, alongside strong experience with modern data platforms and business intelligence tools. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data solutions, including enterprise-grade data warehouses, while ensuring data integrity and enabling advanced analytics across the organisation. This role is suited to an experienced professional who can take ownership of data architecture, mentor junior team members, and drive best practices in data engineering within a collaborative IT environment. Key Responsibilities Design, develop, and maintain robust, scalable ETL/ELT pipelines to integrate data from multiple systems into centralised data platforms. Lead the design, implementation, and ongoing maintenance of data warehouses and data lake architectures. Develop and optimise complex SQL queries, stored procedures, and data models to support reporting, analytics, and operational use cases. Define and enforce data modelling standards (e.g., dimensional modelling, star/snowflake schemas). Collaborate with software engineers, analysts, and business stakeholders to translate requirements into reliable and performant data solutions. Oversee data integration processes, ensuring high performance, reliability, and security across all pipelines. Implement and champion data quality, validation, and governance frameworks. Support and optimise datasets for BI tools such as Power BI, ensuring efficient and scalable reporting solutions. Work closely with IT and Infrastructure teams to design secure, scalable, and cost-effective data environments. Mentor and support junior data engineers, promoting best practices and continuous improvement. About You Preferred Skills Advanced proficiency in SQL (T-SQL or PL/SQL), including performance tuning, indexing strategies, and query optimisation. Strong experience with ETL/ELT tools such as SSIS, Azure Data Factory, or similar. Extensive experience with relational databases (e.g., MS SQL Server, PostgreSQL, MySQL). Proven expertise in data warehouse design, implementation, and maintenance. Strong understanding of data modelling techniques, including dimensional modelling. Hands on experience with cloud data platforms (preferably Azure, though AWS or GCP also valuable). Solid understanding of data governance, data quality, and security best practices. Experience with programming/scripting languages (e.g., Python, .NET, PowerShell) for automation and data processing. Familiarity with BI tools such as Power BI or Phocas. Experience with version control systems (e.g., Git) and modern development practices. Strong analytical thinking and problem solving skills. Excellent communication skills, with the ability to engage both technical and non-technical stakeholders. Ability to work effectively in a hybrid environment (3 days office, 2 days remote). About Us GSF Car Parts is one of the UK's leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over 175 branches nationwide and a turnover exceeding £475 million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 2021. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure.

Client-facing R&D Generative AI Architect Trending Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting edge Generative AI and sophisticated Agentic AI systems (including multi agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross functional teams (internal and client side) and ensuring timely delivery of high quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state of the art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

About us Make a difference and advance your career by helping deliver some of the UK's most important projects, making the world a smarter, safer, greener, and healthier place. You'll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges. At a certified Great Place to Work , you'll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen's Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy. The Role As a Full Stack GIS Developer at Informed Solutions, you'll play a key role in shaping, building, and delivering innovative digital solutions that solve complex challenges in the public sector. The work you do will have a real and lasting impact on society, helping to make the UK healthier, safer, and more sustainable. You'll be part of an experienced and collaborative team, working on greenfield projects from the ground up and delivering enterprise-scale digital services for high-profile clients across multiple sectors. Collaboration is at the heart of how we work, and you'll partner closely with colleagues across Software Engineering, User-Centred Design, Delivery Management and Live Services to deliver exceptional outcomes. As a consultancy, we are proudly technology agnostic. This means our priority is designing the right solution using the most effective tools for the challenge at hand. Our teams work with a wide range of technologies including .NET, Java, Python, Node.js, AWS and Azure, giving you the opportunity to expand your skills, explore new technologies, and grow your career. Many of our projects also leverage Geographic Information Systems (GIS) and open-source geospatial tools, helping clients unlock the value of location data through innovative mapping and spatial analysis solutions. This role offers flexibility to be based from our Altrincham (Manchester) or Westminster (London) offices, where you'll be part of a collaborative, high-performing team environment, supported by our hybrid working approach. Role Responsibilities Deliver high-quality solutions: Design, build, and continually improve software, infrastructure, and deployment pipelines for public and private sector clients, ensuring robustness and scalability. Projects may also include solutions with geospatial data, GIS platforms, and open-source mapping technologies. Collaborate across disciplines: Work closely with Senior and Lead Engineers, Delivery Managers, and colleagues in User-Centred Design and Data Science to shape designs, contribute to documentation, and deliver against agreed plans. Ensure standards and best practice: Follow established approaches, provide accurate technical estimates, and escalation of risks or issues where required. Communicate and build relationships: Present prototypes, solutions, and progress updates clearly to stakeholders, while building strong, collaborative relationships with colleagues, clients, and partner organisations. Essential Skills 3+ years' proven experience in a Full Stack Engineering role, with strong skills in .NET, Java or Python, plus modern JavaScript libraries. A collaborative mindset with experience working in multi-disciplinary teams. Strong understanding of architectural and design patterns, including serverless and microservices. Hands on experience working in Agile environments, using Scrum, Kanban and test driven development (TDD). Experience with cloud platforms, ideally AWS or Azure, to design and deliver scalable solutions. Experience working with GIS systems or geospatial data, and familiarity with open source mapping tools (Leaflet, OpenLayers, QGIS, GeoServer, PostGIS). Desirable skills and experience Experience working in a consultancy environment, engaging with external stakeholders and clients. Exposure to public sector projects. Familiarity with CI/CD tools such as Jenkins and/or Terraform. Awareness of the GOV.UK Digital Service Standard and Technology Code of Practice, and their application to geospatial systems in public sector projects. Key abilities that are necessary for success Able to work effectively in environments where you can adapt to innovative practices involving uncertainty, change, and agile working. Ability to manage competing priorities and your time so you can deliver high-quality work within deadlines. Good interpersonal skills, with the ability to respect and accept different perspectives and disagreement, work collaboratively in diverse teams, and maintain positive working relationships. Good judgement and decision making in complex environments where uncertainty, ambiguity, and risk must be collaboratively managed by working supportively alongside others. Good communication skills, including clear, constructive written outputs and measured, respectful verbal delivery. Personal Qualities You use your experience to lead, coach and mentor more junior team members. You should excel at conveying complex technical concepts in a non technical manner and facilitate trusted working relationships with stakeholders. You should have the ability to work collaboratively, proactively and be flexible in responding to changing needs and priorities. Excellent work planning capabilities and time management skills. Ability to balance conflicting deadlines and priorities. A meticulous attention to detail. Punctuality, reliability, and a clear commitment to your role. What You'll Gain Exposure to high profile, enterprise scale projects that improve public services and deliver positive societal outcomes. Opportunities to work with a wide range of modern technologies, expanding your technical expertise in areas such as cloud, serverless and microservices. A supportive, collaborative environment where knowledge sharing and continuous learning are embedded into our culture. Professional development through training, accreditations and certifications to keep your skills sharp and future ready. The opportunity to grow your career in a consultancy setting, building strong client facing experience alongside technical excellence. Benefits Benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits. InformedACADEMY - We offer excellent career development opportunities through our award winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - We partner with several wellbeing support functions to cater to each individuals need, including 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Qualifying period applies

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.

.Senior Data Engineer I-Search and AI Platform page is loaded Senior Data Engineer I-Search and AI Platformlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R108749 Senior Data Engineer - Search and AI Platform About the role: The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI driven research solutions. As a Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large scale search and analytics use cases. You will work hands on while also supporting and guiding other engineers. About the team: The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce high-quality research more efficiently. Responsibilities: Design, build, and maintain scalable data pipelines and services Develop batch and ELT/ETL data workflows for ingesting and processing large datasets Work with technologies such as Python, Java, Spark, SQL, and Airflow Apply good software engineering practices, including testing, documentation, and CI/CD Contribute to cloud based systems (AWS), focusing on reliability, monitoring, and automation Collaborate with product, platform, and data science partners to deliver meaningful outcomes Support team learning through code reviews and knowledge sharing Requirements: Experience working as a data or software engineer on production systems Strong skills in Python and experience with at least one backend language (such as Java) Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems Experience building or operating data pipelines using tools like Spark and Airflow Familiarity with cloud platforms (AWS preferred) and production monitoring Clear communication skills and a collaborative approach to problem solvingJoin our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Harmonic Security lets teams adopt AI tools safely by protecting sensitive data in real time with minimal effort. It gives enterprises full control and stops leaks so that their teams can innovate confidently. We are led by cybersecurity experts and backed by top investors including N47, Ten Eleven Ventures, and In Q Tel. As Harmonic's product and customer footprint grow, the reliability, security, and developer experience of our underlying platform become mission critical. This role exists to build and operate the infrastructure that makes safe, real time AI adoption possible at scale. As a Senior DevOps Engineer, you'll design the automation, deployment pipelines, and cloud architecture that power our product every day - creating a resilient, low friction platform that engineers trust and customers depend on. This is a hands on opportunity to shape the technical foundations of a category defining security company from the inside out. How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to the same standard. Everyone at Harmonic actively uses AI tools to do their best work, from research and writing to building processes and automating workflows. We expect every new hire to bring curiosity about AI and a willingness to use it to work smarter, faster, and more creatively. For some roles, that means tinkering and staying open to new tools. For others, it means building entirely new systems with AI at the core. We'll be clear about what we expect for each role, and we'll give you the tools and support to get there. About the team Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We're a small but mighty crew where every person plays a critical role and we're committed to using AI to work smarter and faster. About the role The Senior DevOps Engineer is responsible for designing, building and maintaining the highly scalable infrastructure that powers our applications. This role is a blend of automation, infrastructure design and CI/CD pipeline development. What you'll do Your primary focus is the automation and standardisation of our cloud infrastructure and deployment processes. Develop reusable modules to enforce consistency and best practices across all environments Design and implement highly available and fault tolerant architectures on AWS utilising multiple AZs and regions Build, maintain, and optimise CI/CD pipelines using GitLab CI/CD. Manage and configure GitLab Runners (specifically on Docker or AWS EC2/ECS) for scalable and efficient job execution, ensuring fast feedback loops for developers What success looks like You evangelise and implement DevOps best practices, including shift left security, monitoring, alerting and logging The platform provides an outstanding experience with minimal friction for both the development and operations teams, allowing everyone to do their best work Highly available, well maintained platform backed by repeatable processes that allow us to meet and exceed the highest standards for security and resilience What you bring Experience with infrastructure as code tooling (preferably Terraform/OpenTofu) Experience with cloud services (preferably AWS) Understanding of networking and web applications Knowledge of Docker and container orchestration platforms Knowledge of Linux/Unix based operating systems Experience of CI/CD tooling (GitLab, GitHub, etc.) Experience of troubleshooting issues with infrastructure and web applications Proficient in one or more scripting languages (Bash, Python etc.) Experience with monitoring and log management tooling (Prometheus, Grafana, ELK, CloudWatch etc.) Experience working within a fast moving software development organisation You might be a fit if you Have a solid understanding of development processes; you likely started as a developer before moving into DevOps and identify as "more Dev than Ops." Love the idea of building and maintaining resilient, modern infrastructure designed to handle massive, high concurrency workloads. Thrive in fast paced startup environments where ambiguity is common and you have the agency to solve it. See AI as a fundamental tool to help you architect, deploy, and monitor systems smarter, faster, and better. Actively use AI tools (Claude Code, Cursor, or similar) to accelerate your work, from writing IaC and debugging pipelines to researching and prototyping new architecture. Stay current on how AI is changing the DevOps and SRE domains, with strong opinions on where it adds value and where it introduces risk. Refuse to default to the infrastructure playbook you've been running for the last decade-instead, you look for ways to automate the mundane and rethink legacy workflows. Choose to spend your energy on the complex engineering problems that actually require your expertise, rather than manual, repetitive tasks. Why join us This isn't just a job; it's an opportunity to be part of a team that is redefining cybersecurity. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Competitive pay and meaningful equity with a direct stake in Harmonic's success Comprehensive benefits, pension plan, generous PTO, and flexible hybrid work A small, passionate team that values transparency, creativity, and learning Thoughtful leadership that cares deeply about growth, impact, and people Annual global offsites (past trips include Lisbon and Nashville) The chance to directly shape both our product and our culture as we build a category defining company

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch reliability and observability for our most critical platforms. As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of reliability, observability, and performance challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction on site reliability practices to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code for reliability tooling and telemetry pipelines, and reviews and debugs code written by others Drives decisions that influence reliability design, observability architecture, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of site reliability, observability, or telemetry engineering Leads resiliency design reviews and breaks up complex reliability problems into digestible work for other engineers, acting as a technical lead for large-sized products Acts as the main point of contact during major incidents, demonstrating the skills to identify and solve issues quickly to avoid financial losses, and champions blameless postmortem culture Collaborates with team members and stakeholders to define comprehensive service level indicators, service level objectives, and error budgets Designs, implements, and maintains operational reliability for large-scale OpenTelemetry pipelines on hybrid on-prem/cloud environments, supporting telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheus, Elasticsearch, and OpenSearch Drives the assessment, refactoring, and incremental migration of custom legacy telemetry collection code to standardized OpenTelemetry instrumentation, reducing technical debt while maintaining system stability Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices, and influences peers and project decision-makers to consider the use and application of leading-edge observability and reliability technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience delivering system design, application development, testing, and operational stability Advanced knowledge of reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, Elasticsearch, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Hands on experience with the design, deployment, and operation of OpenTelemetry collectors in production environments, focusing on technical aspects such as configuring, optimizing, and troubleshooting OTLP endpoints and receivers Ability to tackle reliability design and functionality problems independently with little to no oversight Practical cloud native experience Ability to expand and collaborate across different levels and stakeholder groups Preferred qualifications, capabilities, and skills Knowledge of distributed tracing, metrics, and logging best practices Certification in AWS, Kubernetes, or relevant technologies Proven track record in system health monitoring, capacity management, and blameless postmortems for high-availability services Deep understanding of distributed system design principles, networking (TCP/IP, DNS, load balancing), and Linux internals Contributions to open-source observability or telemetry projects Experience working with agent control planes and management protocols; hands on knowledge of OpAMP is highly desirable

Webuild Ai is seeking a skilled Software Engineer to lead the design and development of complex AI-powered applications. This hybrid role requires expertise in React, TypeScript, and Python, alongside experience in cloud-native development. The ideal candidate will have a passion for innovation and a mindset that embraces flexibility and problem-solving. Join us in our London office three days a week for a collaborative experience in pushing AI boundaries.

Role Summary Oxford Dynamics seeks a Senior Technical Project Manager to own end to end delivery of AI driven software programmes, coordinating multi team execution from scope and planning through production launch with clear SLAs, budgets, and timelines. The role bridges cutting edge AI research and practical deployment, ensuring agentic/LLM features ship safely, on time, and to quality in regulated environments where security and compliance matter. Key Responsibilities Lead multi project roadmaps managing scope, budgets, risks, RAID, milestones, and change control to deliver on time and within cost. Run Agile ceremonies (Scrum/Kanban), track burn up/burn down, and drive decisions with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers, and stakeholders. Orchestrate delivery of AI features spanning LLMs, RAG, and multi agent workflows from ingestion to inference, including offline/edge constraints where required. Partner with Tech Leads to make trade offs in design and architecture, aligning research prototypes with production requirements and service levels. Coordinate release readiness across testing, evaluation, and go live plans. Align engineering and DevOps on environments, observability, and incident response, ensuring deployments are auditable, cost aware, and reversible. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance, and compliance requirements. Own risk mitigation for compliance and security constraints typical of regulated sectors, escalating early with clear options and impacts. Translate product goals into executable backlogs and milestones, sequencing dependencies across AI, frontend, backend, and platform teams. Review GitHub PRs alongside Tech Leads to validate scope, surface trade offs, and maintain momentum without compromising quality. Represent Oxford Dynamics with customers and partners, including contributions to bids and programme inputs where needed. Drive adherence to security and quality management processes appropriate to regulated domains such as defence, aerospace, healthcare, and finance. Ensure projects maintain audit evidence for decisions, testing, and releases, with recovery plans and responsibilities defined prior to go live. Qualifications 5+ years managing software and AI programmes with multiple stakeholders, delivering production releases in fast moving environments. Proven delivery across teams using React and Python stacks (e.g., Django, FastAPI, Flask) or equivalent modern frameworks. Hands on experience coordinating projects that integrate LLMs, RAG, and related AI components into shipped products. Strong scope, requirements, and budget control; confident discussing technical trade offs and reviewing PRs with engineers. Experience in regulated environments with security and compliance responsibilities across the delivery lifecycle. SC clearance or eligibility for UK national security vetting as required by programmes. Preferred / Bonus Portfolio of shipped AI/robotics/software projects with measurable outcomes and references to regulated work where applicable. Knowledge of data security and accreditation processes; experience with offline/edge solutions or constrained deployments. Comfort presenting to senior stakeholders and contributing to business development activities and bids. Soft Skills High agency ownership from concept to launch, with a bias to clarity, iteration, and decision making under uncertainty. Excellent communication across technical and non technical audiences, enabling fast, safe progress across disciplines. Calm, structured problem solving during incidents and changing constraints, with clear follow through on actions and learning. Benefits Salary: negotiable based on experience and attitudes. Rapid career progression with meaningful ownership of core systems. Opportunity to shape the future of a fast growing, successful, early stage business. Flexible working hours. Hybrid working model. Company pension (UK Government NEST scheme) with company contributions at 4%. Private healthcare. 29 days holiday in addition to public holidays (Full Time Equivalent). Inclusive team experience for all; we believe our work is at its best when everyone feels free to be their authentic self.

Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Lead Data Engineer at JPMorgan Chase within the GIB and a part of the Capital Markets Team you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Lead a Squad of Data Engineers to meet business deliveries working with Product and Design leads. Lead Agile ceremonies including standups, retros and technical refinements. Self-starter able to take the initiative and shape their own path and a pragmatic and iterative approach to achieving our long-term goals. Accelerate team velocity to improve time to market for business solutions. Provide frequent updates to senior stakeholders on progress of business deliveries. Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Promptly investigate and fix issues and ensure they do not resurface in the future. Own and deliver end-to-end, scalable, and secure solutions in the form of cloud-native microservice architecture applications, leveraging modern technologies and the best industry practices. Investigate and fix issues promptly and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. Knowledge of modern software architecture patterns. Experience with a modern CI/CD platforms such Circle Ci/Jenkins. Experience with modern version control platform such as GitHub/Bitbucket. A desire to teach others and share knowledge. A team player mindset where you want you to coach other team members on coding practices, design principles, and implementation patterns. Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Learns technologies and patterns quickly. Comfortable in uncharted waters. Preferred qualifications, capabilities, and skills Familiarity with the Standardized data layer practises (Medallion architecture). Exposure to Aurora Postgres and MongoDB. Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Maintain critical data pipelines and architectures across multiple technical areas as an integral part of an agile team.

Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role Security at Prolific isn't an afterthought, it's foundational to how we build. As a company trusted by world leading research institutions and AI labs to handle sensitive data at scale, the security of our application layer is critical. We handle participant data, researcher credentials, payment flows, and API integrations that demand rigorous protection at the code level. As a Senior Application Security Engineer, you'll be the technical authority on application security at Prolific. You'll work hands on with our engineering teams to find and fix vulnerabilities in our codebase, perform security testing, build security tooling, and embed secure development practices into how we ship software. This isn't a governance or policy role, you'll be in the code, reviewing pull requests, threat modelling new features, and building the automation that keeps our platform secure as we scale. You'll report to the Head of Engineering/Platform and work cross functionally with product engineering, platform, data, and TechOps teams. What you'll bring to the role Several years in application/product security or security engineering Strong knowledge of OWASP Top 10 (Web & API) and modern attack paths (e.g. auth flaws, SSRF, injection, business logic abuse, supply chain) Experience working with complex, large scale systems and modern architectures Hands on security testing experience (especially Burp Suite) across web apps and APIs Python for security tooling, automation, or custom detection (Django a plus) Experience implementing and tuning SAST, SCA, DAST, and secret scanning in CI/CD Practical threat modelling experience, including leading lightweight sessions Strong collaboration skills, able to clearly explain issues and drive remediation Builder mindset, you automate wherever possible Nice to haves Experience with Django, Vue.js, MongoDB, GCP Security champions or bug bounty programmes Supply chain security (SCA, SBOMs, dependency review) IaC security (e.g. Terraform, policy as code) Experience in scaling environments building out security practices What you'll be doing in the role You'll help secure Prolific's applications end to end, from hands on testing and code review to threat modelling and CI/CD security. You'll partner closely with engineers to identify and fix vulnerabilities, build and tune security tooling, and embed secure development practices across the SDLC. This includes running penetration tests, improving detection coverage, and staying ahead of emerging threats to continuously strengthen our security posture. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission driven culture.

What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6 12 months' time. What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high performing engineering team that is operating at scale. This could come from a scale up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. Relevant engineering experience for a team building an enterprise grade SaaS product delivering AI powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus. Other Important Info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 100,000 base + stock option plan. This is full time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

Job Title: Software Programmer Agency: SS WEB TECHNOLOGIES LTD Location: Leeds, United Kingdom Salary/Rate: Not Specified SS Web Technologies is a GB-based IT firm with a proven track record of excellence and performance. Our team comprises highly-trained professionals dedicated to delivering innovative IT solutions that address complex business challenges. We value technical expertise, collaboration, and a commitment to client success. We are currently seeking a talented and motivated Software Programmer to join our team. As a Software Programmer, you will be responsible for designing, coding, testing, and maintaining software applications that drive our business processes and enhance user experiences. Your skills and creativity will contribute to the development of cutting-edge solutions, shaping the future of our organization. Responsibilities: Collaborate with software developers and business analysts to understand project requirements and design software solutions accordingly. Write efficient and clean code for software applications, ensuring adherence to coding standards and best practices. Test and debug software programs to identify and resolve any issues or bugs. Implement software enhancements and updates to meet changing business needs and technology advancements. Participate in code reviews and provide constructive feedback to maintain code quality and improve team performance. Work closely with cross-functional teams to ensure seamless integration of software components. Stay up-to-date with emerging technologies and industry trends, making recommendations for continuous improvement. Document software functionalities, technical specifications, and troubleshooting guides. Requirements: Proven work experience as a Software Programmer or a similar role, showcasing hands-on experience in software development. Strong understanding of software development methodologies and best practices. Knowledge of database management and SQL. Experience with version control systems (e.g., Git) to manage code changes effectively. Solid problem-solving and analytical skills to identify and resolve software-related issues. Ability to work both independently and collaboratively in a team environment. Excellent communication and interpersonal skills. Preferred Qualifications ( Mandatory): Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). Familiarity with web development frameworks (e.g., React, Angular, website ). Experience in mobile app development for Android or iOS platforms. Knowledge of cloud computing platforms (e.g., AWS, Microsoft Azure). Job Title: Software Programmer Agency: SS WEB TECHNOLOGIES LTD Location: Leeds, United Kingdom Salary/Rate: Not Specified Join a WhatsApp channel that posts ONLY UK visa sponsorship jobs: SS Web Technologies is a GB-based IT firm with a proven track record of excellence and performance. Our team comprises highly-trained professionals dedicated to delivering innovative IT solutions that address complex business challenges. We value technical expertise, collaboration, and a commitment to client success. Summary Table of Contents hide We are currently seeking a talented and motivated Software Programmer to join our team. As a Software Programmer, you will be responsible for designing, coding, testing, and maintaining software applications that drive our business processes and enhance user experiences. Your skills and creativity will contribute to the development of cutting-edge solutions, shaping the future of our organization. Responsibilities: Collaborate with software developers and business analysts to understand project requirements and design software solutions accordingly. Write efficient and clean code for software applications, ensuring adherence to coding standards and best practices. Test and debug software programs to identify and resolve any issues or bugs. Implement software enhancements and updates to meet changing business needs and technology advancements. Participate in code reviews and provide constructive feedback to maintain code quality and improve team performance. Work closely with cross-functional teams to ensure seamless integration of software components. Stay up-to-date with emerging technologies and industry trends, making recommendations for continuous improvement. Document software functionalities, technical specifications, and troubleshooting guides. Requirements: Proven work experience as a Software Programmer or a similar role, showcasing hands-on experience in software development. Proficiency in programming languages such as Java, C++, C#, Python, or JavaScript. Strong understanding of software development methodologies and best practices. Knowledge of database management and SQL. Experience with version control systems (e.g., Git) to manage code changes effectively. Solid problem-solving and analytical skills to identify and resolve software-related issues. Ability to work both independently and collaboratively in a team environment. Excellent communication and interpersonal skills. Preferred Qualifications ( Mandatory): Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). Familiarity with web development frameworks (e.g., React, Angular, website ). Experience in mobile app development for Android or iOS platforms. Knowledge of cloud computing platforms (e.g., AWS, Microsoft Azure). Education: Bachelor's (Mandatory) Master's (Preferred) Benefits: Canteen Company events Company pension Flexitime Free parking On-site gym On-site parking Relocation assistance Sick pay Transport links UK visa sponsorship Work from home How to Apply; Interested and qualifiedcandidates should: Click here to apply online for this job Disclaimer Scam Warning:Please take note that the employees at will never get in touch with you or ask you to do so in order to deal, help, or make a payment. A scammer is anyone who claims to be representing us in this way. Note: The sole purpose of this article is to provide information. We are not agents for Visas. Beyond posting openings, we don't offer any kind of support. Vacancies given on this website are obtained from the Internet. Please check the genuineness of the companies you are applying to while proceeding with the application. You May Also Like: Cleaners (Part Time) at Maid2Clean Engineering Team Leader - UK Visa Sponsorship Available MSK Physiotherapist: Sponsorship Available Assistant Psychologist: Sponsorship Available Deputy Nursery Manager: Sponsorship Available Clinical/Pharmacy Technician: Sponsorship Available Care Worker Required - Weekend availability - Weekly Payment at Phoenix Care Staff Limited Mental Health Social Worker: Sponsorship Available Senior Dental Radiographer: Sponsorship Available Care Assistant at Midplant LTD Clinical Psychology Assistant Practitioner: Sponsorship Available Warehouse Operative at Everest Recruitment and Services 33 Spread the love Author: Simon Robert EasyInfoBlog is a multi-author blog. We have experts and professionals in various fields who share their ideas and expert knowledge to help you with your daily information needs. Thanks for reading! Leave a Reply Comment Name Email Website

We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. What You Will Do: Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience 6+ years of relevant cloud infrastructure/cloud networking experience Strong fundamentals in distributed systems design and development Experience building and operating large-scale systems Solid understanding of basic systems operations (disk, network, operating systems, etc) A self-starter with the ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let's get in motion. Come As You Are Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Durlston Partners LLP is seeking a Senior Software Engineer to join a leading AI organization in London. This role is central to developing next-generation conversational agents that enhance customer interactions. The ideal candidate will have 2+ years of experience in software engineering, with strong skills in Python and TypeScript. Responsibilities include designing AI agents, working on features from inception to production, and collaborating with business leaders across various industries.

We have partnered with our client in their search for a Senior Software Engineer to help redesign and deliver a market-leading front-to-back OTC derivatives solution. Responsibilities Lead and manage development team, including work assignments and professional development Serve as Scrum Master; drive Agile processes and continuous improvement Design and develop software solutions; manage product backlog with Product Owner Write, review, and approve specifications; conduct code reviews Develop, test, and implement software using Java, C#, SQL, JavaScript Mentor team members on technical and financial domain expertise Coordinate cross-team integration and provide customer support Skills Required Technical: Java, C#, Python, API development, object-oriented programming, RDBMS Domain: 5+ years in financial services (Trading, Portfolio Management, Compliance, Post-Trade, IBOR, or Wealth Management) Experience: 10-12 years in software engineering; 5+ years supervisory; 5+ years Agile methodology Education: BS in Computer Science/Engineering/Math/Physics Strong written and verbal communication skills Self-starter with ability to work independently and collaboratively Ability to manage solution complexity and lead cross-team activities Preferred Skills MS degree in relevant field Experience developing event-driven architectures Cloud native services experience (Azure, AWS, or Google Cloud) Frontend development with Angular or React Experience with emerging technologies (AI, Blockchain) Title: Senior Software Engineer Location: London Client Industry: Financial Services Compensation: £500 / day