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Frontend Software Engineer (React) – Fully Remote (UK) 💷 Up to £85,000 + Benefits 🌍 Fully Remote (UK) 🚀 High growth company – Great Future prospects Build modern user experiences for data driven technology used at scale A fantastic opportunity to join a growing international technology business building next generation software that automates and streamlines complex data workflows. The businesses platform removes friction, reduces manual effort, and enables organisations to move faster with confidence. As a Frontend Software Engineer, you’ll play a key role in shaping intuitive, high performance web applications used in mission critical environments. You’ll work closely with backend, QA, and DevOps teams in a highly collaborative, remote first engineering culture. This is a hands on role for someone who cares about clean code, great UX, and building products that scale. What You’ll Be Doing • Designing and building modern web applications using React, TypeScript, HTML, and CSS, • Creating responsive, cross browser user interfaces with a strong focus on usability, • Writing testable, maintainable code with unit and integration tests, • Collaborating with backend engineers on API contracts and data integration, • Working with DevOps on CI pipelines, containerisation, and deployment workflows, • Managing dependencies and ensuring application performance and reliability, • Participating actively in code reviews, design discussions, and UX improvements, • Supporting QA with validation, verification, and quality improvements What We’re Looking For • Strong experience building frontend applications with React and TypeScript, • Solid understanding of modern frontend architecture and best practices, • Experience with frontend testing frameworks such as Jest, Playwright, or React Testing Library, • Familiarity with state and data fetching libraries (e.g. react query), • Experience working with design systems (e.g. Material UI), • Knowledge of authentication and secure API integration (OAuth2 or similar), • Exposure to Docker, CI/CD pipelines, and cloud platforms (e.g. Azure), • Experience working in a domain involving High Complexity & demanding Security requirements, • A collaborative mindset and strong communication skills for remote working Nice to Have • Experience working in complex, data heavy applications, • Understanding of DevOps methodologies and container based environments, • Exposure to other languages such as C# (not essential) Why Join? • 💷 Salary up to £85,000, • 🌍 Fully remote role (UK based), • Work on modern, meaningful products with real world impact, • A clean, scalable codebase and strong engineering standards, • High trust, low ego, remote first culture, • Opportunity to influence frontend architecture as the company scales 📩 Interested? Apply now to find out more; Great opportunity – don’t miss it! Please note: Candidates must have the right to work in the UK. Sponsorship is not available.

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network. If you are interested in a software engineer role, please ___.

We are currently recruiting a Data Engineer for one of our clients. The role is outside IR35 and is paying £400-500 per day, it will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark), • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data, • Implement Delta Lake architectures (Bronze/Silver/Gold layers), • Integrate data from multiple sources (databases, APIs, event streams, files), • Optimize Spark jobs for performance, scalability, and cost, • Manage data quality, validation, and monitoring, • Collaborate with analytics and ML teams to support reporting and model development, • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ years of experience as a Data Engineer, • Strong experience with Databricks and Apache Spark, • Proficiency in Python (required); SQL (advanced), • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault • Experience with Delta Lake, Parquet, and data modeling

hackajob is collaborating with Kainos to connect them with exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements • Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection)., • Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc)., • Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker., • Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data., • Understanding of responsible AI principles, model interpretability, and ethical considerations., • Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost)., • Experience with data storage for AI, vector databases, semantic search, and knowledge graphs., • Contributions to open-source AI projects or research publications., • Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.

Head of Engineering (AI-First SaaS Platform) £95,000 – £130,000 base + equity (EMI) + benefits Location: UK (Hybrid – Office & Remote) Keepnet is an AI-driven SaaS platform experiencing strong, sustained growth, helping organisations manage human cyber risk at scale. With Agentic AI live in production, Keepnet operates autonomous agents that plan, build, localise, and run security awareness and human risk workflows, supported by strong guardrails, deep observability, and human-in-the-loop controls where required. We are looking for a Head of Engineering to scale these production-grade agentic systems, strengthen platform reliability, and lead global engineering teams to deliver a secure, highly reliable, and operationally mature SaaS platform. This role sits at the intersection of AI-first engineering, distributed systems, and customer impact, working closely with the leadership team, customer success, development, DevOps, and security teams to ensure engineering accelerates, rather than blocks, sustainable growth. This is not a maintenance role. This is a build, scale, and lead role. Why This Role Matters You will own the engineering vision and execution of Keepnet’s core platform, operating across the UK, EU, US, UAE, and Canada, supported by distributed offshore and nearshore teams. Your leadership will directly influence platform stability, delivery predictability, the maturity of AI systems in production, and customer trust as the business scales. What’s In It for You • Strategic ownership of the engineering function end-to-end, • EMI-qualified equity with meaningful upside, • An AI-first environment with production-grade agentic systems, • The opportunity to shape engineering at a critical growth stage, • A structured hybrid working model with strong in-office collaboration, • Own and scale the global engineering organisation, including onshore, nearshore, and offshore teams, • Establish clear delivery standards, communication rituals, and accountability models for distributed teams, • Design and evolve a distributed SaaS architecture using Azure, AWS, Cloudflare, Kubernetes, managed databases, queues, and workers, • Maintain the platform with clear ownership, fast remediation, and a strong bias towards preventing recurring production issues, • Champion AI-assisted software engineering, using tools such as Cursor as part of everyday workflows while keeping engineering judgement and accountability with people, • Embed observability-driven reliability, leveraging metrics, tracing, and tools such as Sentry to proactively detect and prevent incidents, • Lead teams building asynchronous, distributed systems using message queues, background workers, and event-driven patterns, • Ensure high standards of engineering quality and maintainability, making pragmatic trade-offs without compromising system integrity, • Work closely with DevOps on CI/CD pipelines, release safety, and infrastructure resilience, • Translate business priorities into clear technical roadmaps and execution plans, • Support leadership with technical analysis, documentation, budgeting, and reporting, • Build a culture of ownership and production accountability across teams, • Hire, mentor, and retain high-performing engineers and engineering leaders globally You will not be expected to do everything yourself. Success in this role will be measured by platform reliability, delivery predictability, team health, and customer impact. What You’ll Bring • Proven experience leading distributed engineering teams, including offshore and nearshore models, • Strong hands-on background with .NET, Python, and JavaScript/TypeScript, • Deep experience with cloud infrastructure (Microsoft Azure, AWS, Cloudflare), • Strong understanding of Agile and Scrum in distributed environments, • Experience with AI-assisted development workflows, • Experience operating multi-region SaaS platforms at scale, • Strong collaboration with DevOps teams and ownership of CI/CD pipelines, • A security-first mindset, building systems that are secure by design (safe APIs, data protection, least-privilege access), • Excellent communication skills across Slack, Microsoft Teams, and in-person settings, • A leadership approach grounded in clarity, ownership, and delivery Life at Keepnet At Keepnet, engineering is a strategic growth engine, not a support function. What you can expect: • Hybrid working with meaningful in-person collaboration, • Global teams and real-world scale, • Annual leave of 25 days, plus one additional day per year of service, • Enhanced parental leave, • Gym support and a cycle-to-work scheme, • EMI-qualified equity, • Monthly team lunches and quarterly offsites, • A culture that supports learning, experimentation, and continuous improvement Why This Role Is Different This role is for someone who: • Enjoys building what others hesitate to own, • Treats distributed teams as a design challenge, not a compromise, • Knows when to move fast and when stability matters more, • Uses observability and judgement to prevent incidents rather than explain them afterwards, • Understands that culture is a system and builds it deliberately If this resonates with how you work, we would like to hear from you.

A leading global fintech company in the UK is seeking a VP of DevOps to shape strategy and delivery in a fully remote position. This role involves owning the DevOps strategy to enhance software delivery, designing scalable CI/CD practices, and leading a global team. The ideal candidate will have a s

The ideal candidate will work onsite in London or Sheffield for 2-3 days a week, contributing to various DevOps tasks in a collaborative environment.

This position involves designing and developing automated solutions in Azure, managing cloud infrastructure, and ensuring adherence to security compliance standards. Candidates should have experience in enterprise-scale environments, with expert knowledge of cloud platforms like Azure, along with a

A technology solutions provider is seeking an experienced engineer to enhance their Jenkins Shared Library, focusing on CI/CD pipelines for multi-language builds.

The successful candidate will join a dynamic team, focusing on building and maintaining solutions related to CI/CD infrastructure and cloud monitoring.

Champion Engineering Excellence: Define and enforce coding standards, CI/CD, DevOps practices, and reusable patterns. With offices in York and Sheffield, and a team based throughout the UK – we champion creativity, innovation and collaboration in the workplace. We’re looking for a Technical Cham

Develop and execute test plans, test cases, test data, test scenarios, and other testing documentation based on requirements and specifications. Create and manage Jenkins pipelines for running automated tests, generating reports, and notifying the team about test results to streamline the CI/CD proc

A leading technology services firm is seeking a Salesforce DevOps Engineer based in the UK.

A leading technology services firm is looking for a Salesforce DevOps Engineer in Sheffield, UK. Candidates should have a strong Salesforce development background and problem-solving skills.

The successful candidate will design and support DevSecOps pipelines, automate secure deployments, and enhance CI/CD processes.

A recruitment firm is looking for an experienced Python Developer to join a remote team immediately.The role involves producing well-structured Python code, contributing to full software lifecycle projects, and following Agile methodologies.Candidates should have strong Python backgrounds, experienc

Responsibilities include building CI/CD pipelines, developing tools with Streamlit, and ensuring data quality.

The ideal candidate will have strong expertise in OpenShift, Kubernetes, and CI/CD tools, along with excellent problem-solving skills.

A leading global financial institution is seeking a Lead Software Engineer to revolutionize mobile banking.In this role, you will enhance developer experiences, drive software solutions, and work with cloud technologies like AWS.The ideal candidate has practical experience in applications and distri

The role involves leading AWS cloud architecture, designing CI/CD workflows, and enhancing developer experience.

The ideal candidate will have strong experience with CI/CD processes, specifically utilizing Harness, PowerShell, and Azure VMware Solutions.

The ideal candidate will have extensive experience with CI/CD systems, AWS, and DevOps practices.

A leading IT Services Consultancy in the UK is seeking a Software Tester to join their team.The candidate will execute functional and exploratory testing, collaborate in Agile ceremonies, and maintain automated test scripts.Ideal candidates should have strong experience in software testing and Agile

A forward-thinking startup in London is seeking a motivated Platform Engineer to help build and maintain critical infrastructure.The ideal candidate will have 1-4 years in a DevOps role with hands-on AWS experience, knowledge of Terraform, and strong collaboration skills.You will support senior engi

Knowledge of CI/CD tools like Jenkins and GitLab, as well as expertise in managing infrastructure using IaC tools like Terraform, is essential. The ideal candidate should have over 5 years of experience in driving CI/CD excellence and working within cloud-native environments.

Additional responsibilities include system performance optimization, CI/CD pipeline management, and collaboration with development teams to ensure seamless deployment processes.

A company focused on pet food is looking for an experienced DevOps Engineer to enhance CI/CD pipelines and improve system monitoring. The ideal candidate will have hands-on experience with AWS, Terraform, and CI/CD best practices, along with strong problem-solving skills.

Ideal candidates should have significant experience in a similar role and knowledge of CI/CD pipelines, Kubernetes, and collaborative work environments.

A leading global financial services provider is seeking a Senior Service Reliability Engineer in London, focusing on delivering reliable, mission-critical services.The role involves guiding teams in Kubernetes deployment, defining observability tools, and advocating for AI-enabled operations.The ide

A technology startup in the United Kingdom is seeking a Developer Advocate to engage with the developer community and promote Argo CD and Kargo.

The candidate will collaborate with product teams to integrate tests into CI/CD pipelines and ensure quality checks are met. Ideal candidates will have hands-on experience with test automation frameworks, front-end dashboard technologies, and CI/CD processes.

In this role, you will build and maintain testing frameworks for Oracle-based products, focusing on high-quality deliverables and rapid feedback across CI/CD pipelines.

This role involves designing and maintaining CI/CD pipelines, implementing Infrastructure as Code, and supporting cloud platforms in a secure public sector environment. The ideal candidate should have strong experience with AWS or Azure, CI/CD tools, and will need to obtain SC clearance.

Candidates should have extensive experience with CI/CD pipelines, Infrastructure as Code using Terraform, and cloud platforms like Azure.

In this hybrid role, you will support a team of engineers focusing on the availability of CI/CD systems and enhance developer productivity through automation tools.

The role involves designing CI/CD pipelines and automating provisioning in cloud environments, primarily Azure. Candidates should possess strong skills in infrastructure-as-code, CI/CD automation tools, and container orchestration.

A leading digital solutions provider in the automotive sector is seeking a DevOps Engineer to manage scalable AWS infrastructure and build CI/CD pipelines.

A leading dual-use technology company in Greater London seeks an experienced DevOps Engineer to design and implement automation solutions for the software development lifecycle.This role requires expertise in Kubernetes, Terraform, and Google Cloud Platform, along with excellent communication skills

The role involves developing high-quality software using Java, embracing cloud technologies, and implementing CI/CD best practices.

A travel-tech company is looking for a Security Engineer to design and manage security solutions across the software development life cycle.The role emphasizes cloud security, vulnerability assessment, and compliance initiatives.Ideally, you have over 5 years of experience in security roles, profici

A leading technology firm in the United Kingdom is seeking a Senior Software Engineer to design and maintain backend services for transaction-driven platforms.The role requires 6-8+ years of experience in software engineering and expertise in languages like Java or C#.Candidates should possess stron

This role involves architecting and managing Kubernetes environments, driving CI/CD automation, and ensuring stable and secure platform operations.

A leading IT services company is seeking a DevOps Engineer to deliver automation solutions in the Microsoft Azure cloud.The role involves creating Azure DevOps deployment pipelines and collaborating with application teams to improve deployment strategies.Candidates should have experience with Azure

Responsibilities include designing CI/CD pipelines and providing operational support while mentoring junior team members.

A data services provider in Greater London seeks an Azure DevOps Engineer to enhance live services and manage CI/CD pipelines.

A leading cloud infrastructure company is seeking a Software Engineer for their Builds team.This role involves building and maintaining critical build systems, with a focus on improving the developer experience.Ideal candidates have over 6 years of experience in software engineering, particularly in