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Semrush is a brand visibility platform, empowering marketers to command their online presence and create measurable impact. We unify SEO authority and AI visibility, so brands are found, cited, and chosen everywhere search happens. That’s how Semrush gained the trust of over 28 million users—from scaling startups to Fortune 500 companies. Here, you own the way you work, but we move as one unbeatable team. We don’t just lead the market, we’re busy creating the world where Semrush is an unfair advantage for every marketer. We move fast in ways to help you grow. Here, you have room to experiment, keep what works, and learn quickly from what doesn’t. Ready to share our ambition and make an impact? Then, this role may be for you. About Semrush Technical Services Semrush Technical Services is a team of technical experts and consultants who partner with enterprise customers to accelerate API adoption and drive measurable value from the Semrush platform. We work alongside sophisticated engineering and product organizations to design integration approaches, unlock API capabilities, and build the technical foundations that enable long-term customer growth.This team sits within Semrush's CSS organization and works in direct partnership with Customer Success, Sales, and Product. Our job is to make sure enterprise customers don't just purchase Semrush's APIs, they use them, scale them, and grow with them. Role Overview The Technical Services Consultant is Semrush's technical expert in the post-sale motion for API customers. This is a consultative, high-impact role accountable for two outcomes: getting customers to production fast, and ensuring they actively consume what they've purchased. You sit at the intersection of engineering and business, embedded with customer development teams while engaging at the strategic level with product and technology leaders. You work in direct partnership with the Customer Success Manager and Account Executive on named enterprise accounts. The CSM owns the relationship and success planning; you own the technical strategy and API consumption. This is a paid Services role. You are not a support function. You are a proactive technical partner who drives outcomes. Drive fast, high-quality implementation: Own the technical workstream for API customers from contract close through go-live. Lead architecture reviews, guide the customer's engineering team through integration design, and ensure setup is done right the first time, aligned to their goals and Semrush best practices. Own API consumption post-onboarding: Monitor API usage against purchased volume, identify consumption gaps before they become churn signals, and build a concrete plan to close them. Push customers to get full value from what they've purchased by surfacing under-utilised capabilities and new use cases. Be the technical thought partner: Engage at the strategic level with customer CTOs, engineering leads, and product teams; not just answering questions, but proactively shaping how they build. Run technical workshops, architecture walkthroughs, and developer enablement sessions throughout the engagement. Remove blockers and govern delivery: Identify technical, organizational, and resource blockers early and resolve them proactively. Define clear implementation milestones, hold customers accountable to timelines, and escalate with context and a recommended path forward when needed. Partner with the CSM on account strategy: Work hand-in-hand with the Customer Success Manager to align technical expansion plays with broader success planning, renewal motions, and executive stakeholder engagement. You own the technical layer; the CSM owns the relationship. Scale the practice: Build repeatable assets, implementation playbooks, reference architectures, onboarding templates, that make the next engagement faster and better. Surface integration blockers and adoption friction back to Product and Engineering as the voice of the technical customer. Move together. Raise the bar. Learn fast—grow faster. That’s the default. And here’s what else is needed to succeed in this role: 5–8+ years in a technical, customer-facing role; Solutions Engineering, Technical Account Management, Implementation Engineering, or equivalent Demonstrable experience working directly with engineering and development teams as a trusted technical advisor, not just a support contact Strong working knowledge of REST APIs, authentication patterns (OAuth, API keys, JWT), webhooks, and integration architecture; you can review an integration design and immediately identify what's wrong Comfortable reading and discussing code (JavaScript, Python, or similar) and engaging at technical depth with developers without needing to write production code yourself Track record of owning measurable outcomes: time-to-live, API adoption rates, consumption metrics, NRR contributions Equally strong in a technical architecture review and an executive business review; you shift the conversation without losing the thread Commercially aware: you understand how your work connects to retention, expansion, and Services revenue Operates with urgency and ownership; you identify the problem and move without waiting to be asked Not Required, But a Plus Experience at an API-first or platform company Familiarity with enterprise integration patterns, middleware, or iPaaS platforms Background in a paid Professional or Technical Services function Experience building implementation playbooks or technical enablement programs from scratch Exposure to digital marketing, MarTech, or SEO/SEM platforms • Unlimited PTO, • Hobby & team building budget allowance, • Employee Support Program, • Loss of family member financial aid, • Employee Resource Groups Semrush is the leading brand visibility platform, empowering marketers to command their online presence and create measurable impact. Built on the industry’s most expansive proprietary dataset, Semrush delivers AI-driven insights across GEO, SEO, Agentic Search Optimization, content marketing, paid media, and social strategy. The company was founded in 2008 and is headquartered in Boston, MA with a global presence across North America, Europe and Asia. We’ve built something people are proud to be part of. And the awards agree: Great Place to Work, DEI Workplace, Diversity Champion Award, International Inclusion Award, Most Women Friendly Employers, Best Place for Working Parents. All thanks to 1700+ employees who build the company every day. Semrush is an equal opportunity employer. We are committed to ensure that everyone feels a sense of belonging in the workplace. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws. Ready to be a part of this mission? Join us!

As the Staff Analytics Engineer for Cyber Analytics, you will set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and built for impact. You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities. Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI responsibility, and mentor Analytics Engineers to deliver exceptional data products at scale. Technical Leadership and Data Product Strategy: Define and drive the technical direction for cybersecurity data products, establishing engineering standards, best practices and operating models that enable the team to deliver trusted, scalable and high-value data solutions aligned to security and business objectives. Analytics Architecture: Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Modelling and Semantic Enablement: Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics, threat investigation and decision-making across security teams. Engineering Excellence and Documentation: Champion engineering excellence by driving coding standards, testing frameworks, peer review practices and documentation approaches that improve quality, maintainability, consistency and knowledge sharing across the Analytics Engineering function. Automation and AnalyticsOps: Lead the adoption of automation and DataOps practices that improve the deployment, testing, monitoring, and operational management of data products, enhancing scalability, reliability and developer productivity. AI and Analytics Enablement: Shape the strategy and technical approach for analytics agents and conversational analytics capabilities, enabling users to explore and investigate security and business data through natural language experiences while ensuring responsible AI adoption through appropriate governance, security controls and human oversight. Data Governance, Security and Compliance: Establish and promote data governance, security and compliance standards across the cybersecurity analytics estate, ensuring sensitive data is protected and managed in accordance with organisational policies and regulatory requirements. Cross-functional Leadership and Influence: Partner with security, engineering and data leaders to shape roadmaps, influence architectural decisions and align analytics capabilities with strategic priorities, communicating complex technical concepts clearly to both technical and non-technical stakeholders. In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching, mentoring and development of Analytics Engineering talent, helping to raise technical capability and foster a culture of engineering excellence across the Cyber Analytics team. Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns and engineering standards while providing technical leadership across teams. Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands‑on experience using orchestration and transformation technologies such as Airflow and dbt. Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes. Experience driving automation and DataOps practices that improve deployment, monitoring, reliability and operational efficiency of data products. Experience developing dashboards, visualisations and self‑service analytics capabilities using tools such as Tableau, enabling users to derive actionable insights from complex datasets. Experience shaping or implementing analytics agents, conversational analytics capabilities, semantic layers or other AI‑powered analytics solutions that enable users to explore and investigate data through natural language. Understanding of responsible AI principles, including governance, security controls, evaluation frameworks and appropriate human oversight. Strong leadership, mentoring and coaching skills, with the ability to develop Analytics Engineers, raise engineering standards and build high‑performing teams. Ability to influence stakeholders and communicate complex technical concepts, architectural decisions and data strategies to both technical and non‑technical audiences. Knowledge of cybersecurity principles, security operations and threat detection use cases, with experience applying data and analytics solutions to support cybersecurity outcomes. Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project. Strong analytical abilities, attention to detail and ability to empower users with self‑service capabilities through the analytics platform. Experience with collaborative development methods such as mob or ensemble programming. We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. The above information is a shortened summary, refer to our policies for full details You might know us as a supermarket, technology company or even for our award‑winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we are here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you. As a Staff Backend Engineer at Parser, you will join a strategic greenfield program driving the design, development, and implementation of a next-generation customer fulfillment platform. You will build high-performance microservices, apply deep expertise in asynchronous messaging and latency management, and exert holistic decision-making influence to establish core technical standards and optimize warehouse operations. Your responsibilities include, but not limited to: • Architect, build, and optimize high-performance microservices and distributed systems for mission-critical services., • Exert holistic technical leadership across greenfield software initiatives, establishing clear design pattern rationale and technical quality standards., • Apply deep expertise in asynchronous messaging, event-driven architectures, and latency management to achieve high throughput and reliability., • Develop and integrate APIs and microservices with enterprise API and third-party platforms while maintaining clean, maintainable, and well-documented code., • Diagnose and resolve complex technical issues in real-time to ensure uninterrupted operations., • Utilize modern Agentic AI platforms (such as Tab 9 and Gemini) to streamline developer workflows and maintain lean team efficiency., • Collaborate closely with on-site operations teams, cross-functional teams, hardware specialists, and data scientists to align software design with operational objectives., • Mentor junior engineers and foster a culture of continuous improvement and engineering excellence., • Deep core fluency in Java 21, modern functional idioms, Spring Boot, and performance patterns., • Extensive experience with Apache Kafka, asynchronous messaging, event-driven architecture, and low-latency considerations., • Strong knowledge of SQL and NoSQL platforms, specifically PostgreSQL and Couchbase., • Hands-on experience with cloud and container technologies including Azure, Docker, and Kubernetes., • Proven experience building and supporting reliable, operationally robust full-stack and distributed Java products using Agile methodologies., • Demonstrated ability to identify and apply appropriate design patterns (such as CQRS and eventual consistency), practice TDD, and model complex problem domains., • Practical understanding of CI/CD pipelines (e.g., Azure Pipelines, GitHub Actions, Jenkins) and automated development practices., • Experience or adaptability with modern Agentic AI tools (such as Tab 9 and Gemini) to enhance developer productivity., • Previous experience contributing within globally distributed software engineering teams., • Hands-on experience with monitoring and observability tools such as Splunk, AppDynamics, or New Relic. Welwyn Garden City: The role requires three days a week at the office (Hybrid working model). • The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built., • The opportunity to be part of an amazing, multicultural community of tech experts., • A highly competitive compensation package., • A flexible and hybrid working environment., • Medical insurance. Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation. By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser's Privacy Notice for recruitment purposes. Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight. #J-18808-Ljbffr

This is a unique opportunity to play a leading role in how software products are built within a leading global retailer with real impact across millions of customers and thousands of software engineers. Reporting to the Director of Engineering Effectiveness and Capability, you will lead teams that focus on overall developer experience, developer tooling and will lead our efforts to evolve how software engineering is done in the world of agentic AI. You’ll play a key role in shaping strategy as well as driving execution. You’ll provide thought leadership through keeping your knowledge and expertise in agentic coding up to date through continual evaluation of new technologies and practices and be able to balance pace of delivery with the need to be secure, resilient and prudent. The impact of your work will be felt by over 2,500 software engineers. You’ll manage and provide leadership to teams based in India and Hungary. • Budget ownership, partnership and commercial relationships with existing suppliers in the developer tooling and agentic coding space. Continual evaluation of new tools and build vs buy decisions., • The ongoing evolution and operational excellence of our key developer tools such as GitHub, SonarQube Nexus and others that support software development activities., • Key input into the definition and continual evolution of the strategy for how our SDLC evolves in the light of Agentic AI., • Accountability and leadership to execute how agentic AI is enabled for development teams., • Thought leadership across the whole Technology organisation around Agentic AI for coding and other aspects of the SDLC., • Overall ownership of developer experience including gathering quantitative and qualitative data, driving insight and identifying areas of opportunity., • Proven experience of leading geographically disparate teams and managing managers., • Ability to shape strategic direction; deal with ambiguity and operate autonomously in a fast-evolving space making timely decisions without perfect data and be able to operate in an intent-based way vs seeking approval., • Strong ability to make decisions that balance multiple, often conflicting factors., • Excellent communication and influencing skills downwards, across and upwards., • Proven experience in managing significant vendor relationships, evaluating offerings and working effectively with procurement and legal teams., • Strong understanding of budgets, forecasts and the economics of software development activity and agentic AI., • Experience of working in an organisation that values product-led and data-led problem definition and discovery., • A solid understanding of all aspects of a typical SDLC and opinions on where AI can have the biggest impact., • Prior experience as a hands-on software engineer which allows you to have a strong understanding and empathy of engineers’ needs and views., • Experience in leading teams who ‘run what they build’, managing effective operational support and on-call engineers., • Ideally: prior experience of working in a developer experience, platform engineering or similar role., • You are naturally curious and have built up expertise with agentic coding tools such as Claude Code, Codex, OpenCode or Cursor but you have a bias towards solving problems not dogmatic solutions., • Ability to keep knowledge up to date through effective building of networks, data sources and ability to identify and distil key trends and directions and then apply context to how you interpret them., • Strong system design and architecture skills and instincts., • Exceptional people management skills including how to manage talent and performance and grow the people around you. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. #J-18808-Ljbffr

2 days ago Be among the first 25 applicants This range is provided by Noir. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure, Angular 21, Vue.js, TypeScript, Multithreading, RESTful, ASP.NET Core Web API, EF Core 10.0, Programmer, Full Stack Engineer, Architect, .NET Developer) We are pleased to announce that our client, one of the largest and most recognised brands within the music industry, is seeking .NET Developer to work out of their plush offices in the heart of Hertford, Hertfordshire. You will be working on the development of high-availability and highly-transactional .NET / C# applications which will be critical to the launch of their new online music shopping channel. We are seeking .NET Developer candidates with a skill set that encompasses: .NET, .NET Core, C# and Azure SQL. Our client can provide training into: .NET 10.0, ASP.NET Core, C# 14, Azure, Angular 21, Vue.js, TypeScript, Multithreading, RESTful, ASP.NET Core Web API, EF Core 10.0, Solid, DRY, LINQ and MongoDB. My client offers flexible working hours, home working and amazing offices (onsite cinema, pool tables, bar, free canteen, gym). These positions are dope!!! Location: Hertford, Hertfordshire, UK / Remote Working Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! • Mid-Senior level, • Full-time, • Consulting, Information Technology, and Other, • Software Development, Information Services, and IT Services and IT Consulting Referrals increase your chances of interviewing at Noir by 2x Get notified about new Dotnet Developer jobs in Hertford, England, United Kingdom. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Tesco is seeking a senior leader to shape how software is built across our engineering ecosystem.Reporting to the Director of Engineering Effectiveness and Capability, you will lead teams focused on developer experience, tooling and the evolution of our SDLC in the agentic AI space.You’ll drive st

You’ll be a passionate, pragmatic Frontend / Web Software Engineer with an inquisitive mind who is motivated to make change for the better and most importantly put our customer first. You’ll enjoy working as part of a team and be a keen problem solver.Comfortable with modern engineering practices and frontend development tooling and technologies you’ll use innovation to improve the customer experience and efficiency of engineering teams. • Use your in-depth knowledge of JavaScript, TypeScript, React, Node and the ecosystem of tools to develop andimplement scalable frontend systems – ability, ability, Tesco,, • Profile and optimise code, • Apply understanding of cohesion and architectural principles to create well structured, maintainable software, • Identify patterns in code and refactor the code towards them where it increases understanding and/or maintainabilitywith minimal guidance, • Translate requirements into tasks & code, • Develop high quality code that can lead to rapid delivery, ruthlessly pursuing continuous integration and delivery - CICD, • Commit code early and often, demonstrating understanding of version control & branching strategies, • Automate everything by default, • Write secure code by default, • Write maintainable code and observe basic hygiene practices, • Implement relevant project instrumentation, • Follow the best practices of continuous BDD/TDD/Performance/Security/Smoke testing, • Work effectively with product stakeholders to communicate and translate needs into product improvements, • Lead group discussions on system design and understand domain well enough to work with Product Managers to drivevalue, • Support production systems, resolve incidents and perform root cause analysis, • Debug/find complex problems and support/maintain the software solution, • Share knowledge with the wider engineering community, • Mentor and develop others around you, • Produce proof of concepts to evaluate new tools We are looking for people who have a passion for Technology. You will demonstrate experience of different platforms and technologies. • Commercial experience as a Frontend Software Developer, • Best-practices regarding all aspects of web development including design, semantic HTML mark-up, CSS, TypeScript,and related technologies, • Exposure to a variety of JavaScript frameworks and libraries such as: React, Redux, React-Router and testing with ReactTesting Library Jest, Cypress, Playwright, Jasmine, Enzyme, Mocha., • Experience of using Node.js to create high traffic applications. Perhaps using Express.js, Sails, Koa or similar, • Awareness and practice of UI performance best practices, • Understanding and exposure to integrating REST API and GraphQL endpoints, • Strong experience and understanding of industry standard web accessibility, web design & usability; to support sitescross browser/platform/device, • A desire to write readable, maintainable, modular and extendable code, • Exposure to the DevOps model, • Use AI-assisted engineering tools securely and responsibly where they add value, • Participate in on-call and production support processes, • Write and maintain Infrastructure as Code, • Experience in Lean and Agile environments and understanding of principles behind methodologies such as: BDD, ATDDand TDD, • Work collaboratively and win as a team, • Bringing multiple viewport responsive and adaptive web designs to life, • Modern JavaScript/TypeScript frameworks including Remix or Next.js, • Developing web applications within the constraints of “non-standard” devices You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. If you need support with your application, And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

We’re looking for a Senior React Native Engineer to help build and evolve Tesco’s Digital Design System (DDS) implementation for React Native. The DDS Engineering team maintains the shared user interface foundations behind Tesco's digital ecosystem, supporting experiences used by millions of customers and colleagues every day. This is a senior platform engineering role focused on reusable UI foundations: component APIs, accessibility, quality, documentation, release discipline, and developer experience for teams across Tesco’s digital estate. Prior design system experience is valuable, but not required; we’re most interested in strong platform engineers who enjoy building shared foundations used by many teams. You’ll work closely with design, accessibility, product engineering, and DDS peers to keep Tesco experiences consistent, scalable, and easy to build. You'll create reusable components, improve developer tooling and documentation, support consuming teams, and help shape modern design-to-development workflows; using Figma, MCP integrations, agentic cloud workflows and AI-assisted engineering tools. This is not an “AI for AI’s sake” role: the goal is practical engineering impact, better component reuse, fewer inconsistencies, stronger accessibility, faster onboarding, and safer migrations. • Build, maintain, and evolve Tesco DDS platform components for React Native, with clear APIs, strong test coverage, accessibility support, and release discipline., • Translate DDS design intent, tokens, component states, and interaction guidance into production-ready React Native implementation., • Improve developer experience for consuming teams through documentation, examples, onboarding, contribution guidance, support, and migration tooling., • Collaborate with design, accessibility, product engineering, and platform peers to keep DDS implementation aligned across iOS, Android, React Native, and Web., • Use AI-assisted engineering tools responsibly where they improve quality, speed, consistency, or developer self-service., • Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints., • Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic delivery, technical clarity, and high-quality communication., • Relocation Help - professional service to secure relevant working permits and other necessary documents, • Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight, and O'Reilly, • Learning culture and excellent opportunities to develop your career within your chosen field or something altogether new, • Varied and exciting projects to play a part in - there is always something new and exciting in the pipeline You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we’re here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

• As the Staff Analytics Engineer for Cyber Analytics, you will set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and built for impact., • You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities., • Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI responsibility, and mentor Analytics Engineers to deliver exceptional data products at scale., • Technical Leadership and Data Product Strategy: Define and drive the technical direction for cybersecurity data products, establishing engineering standards, best practices and operating models that enable the team to deliver trusted, scalable and high-value data solutions aligned to security and business objectives., • Analytics Architecture: Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale., • Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation and quality management across the raw, trusted and curated layers of the data ecosystem, ensuring data products are reliable, governed, reusable and fit for purpose., • Data Modelling and Semantic Enablement: Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics, threat investigation and decision-making across security teams., • Engineering Excellence and Documentation: Champion engineering excellence by driving coding standards, testing frameworks, peer review practices and documentation approaches that improve quality, maintainability, consistency and knowledge sharing across the Analytics Engineering function., • Automation and AnalyticsOps: Lead the adoption of automation and DataOps practices that improve the deployment, testing, monitoring and operational management of data products, enhancing scalability, reliability and developer productivity., • AI and Analytics Enablement: Shape the strategy and technical approach for analytics agents and conversational analytics capabilities, enabling users to explore and investigate security and business data through natural language experiences while ensuring responsible AI adoption through appropriate governance, security controls and human oversight., • Data Governance, Security and Compliance: Establish and promote data governance, security and compliance standards across the cybersecurity analytics estate, ensuring sensitive data is protected and managed in accordance with organisational policies and regulatory requirements., • Cross-functional Leadership and Influence: Partner with security, engineering and data leaders to shape roadmaps, influence architectural decisions and align analytics capabilities with strategic priorities, communicating complex technical concepts clearly to both technical and non-technical stakeholders., • In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching, mentoring and development of Analytics Engineering talent, helping to raise technical capability and foster a culture of engineering excellence across the Cyber Analytics team., • Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases., • Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns and engineering standards while providing technical leadership across teams., • Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads., • Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls., • Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products., • Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands-on experience using orchestration and transformation technologies such as Airflow and dbt., • Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes., • Experience driving automation and DataOps practices that improve deployment, monitoring, reliability and operational efficiency of data products., • Experience developing dashboards, visualisations and self-service analytics capabilities using tools such as Tableau, enabling users to derive actionable insights from complex datasets., • Experience shaping or implementing analytics agents, conversational analytics capabilities, semantic layers or other AI-powered analytics solutions that enable users to explore and investigate data through natural language., • Understanding of responsible AI principles, including governance, security controls, evaluation frameworks and appropriate human oversight., • Strong leadership, mentoring and coaching skills, with the ability to develop Analytics Engineers, raise engineering standards and build high-performing teams., • Ability to influence stakeholders and communicate complex technical concepts, architectural decisions and data strategies to both technical and non-technical audiences., • Knowledge of cybersecurity principles, security operations and threat detection use cases, with experience applying data and analytics solutions to support cybersecurity outcomes., • Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project., • Strong analytical abilities, attention to detail and ability to empower users with self-service capabilities through the analytics platform., • Experience with collaborative development methods such as mob or ensemble programming. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. #J-18808-Ljbffr

Senior Python Engineer (Django / DevOps / IaC) Retail Hybrid: either London or Welwyn Garden City (whichever is closest) 3 days per week 6 months In short: Our Application Security team require a strong Python generalist to run, deploy and maintain purpose-built applications. You’ll need solid experience across Python development, DevOps, Cloud and an awareness of security protocols. We are committed to align with the digital advancements of the business and secure new technologies that enable our business to have a superior focus on serving our customers, communities, and planet. As part of our Security Engineering Platforms team, we build and operate centralised security tooling that enables thousands of developers to ship secure software by default, at scale. We are seeking a skilled Python Developer to join our engineering team. You will be responsible for building robust, secure, and scalable services that automate security testing at scale using Django and related technologies. Beyond coding, you'll actively engage in architecture discussions, security implementations, CI/CD pipeline development, and help transition MVP applications into production-grade systems. Your work will directly strengthen the security posture of applications, APIs, and cloud-native systems across the business by making security tooling fast, reliable, and seamless for every development team. • Design, develop, and maintain scalable REST APIs using Django., • Build and operate asynchronous task pipelines (Celery/Redis) that orchestrate security scanning at scale., • Ensure best practices for code quality, performance, and security., • Integrate robust security practices into all API layers, including authentication, authorization, data validation, and protection against vulnerabilities., • Develop and manage CI/CD pipelines for automated testing, deployment, and monitoring., • Work closely with core devops teams or independently handle infrastructure and deployment tasks., • Review, refactor, and productionise MVP codebases, improving code clarity, documentation, and maintainability., • Manage Docker container images through build, test, and deploy to kubernetes., • Collaborate cross-functionally with product managers, frontend developers, and engineering teams., • Leverage AI-assisted development tools to accelerate code review, testing, and documentation., • Participate actively in technical discussions, contributing innovative ideas and solutions., • Strong experience in Python development, specifically with Django and Django REST Framework at senior level., • Experience with asynchronous task queues (Celery, Redis), • Solid understanding of REST API design principles and best practices., • Proficiency in relational databases (PostgreSQL/MySQL), and ORM (Django ORM in particular)., • Familiarity with containerisation and orchestration (Docker, Kubernetes), • Strong understanding of software engineering best practices, including testing (unit, integration, and end‑to‑end)., • Experience deploying applications to cloud platforms (Azure preferred)., • Effective communication and ability to collaborate with cross‑functional teams to integrate security practices., • Experience working in an agile environment, such as Scrum., • Experience with SAST/DAST tooling and security automation, • Familiarity with API security patterns (JWT, OAuth, rate limiting), • Comfortable working with AI‑assisted development tools, • Experience with Infrastructure as Code (Terraform) and configuration management (Ansible), • Experience operating and administering Linux distributions (RHEL, Ubuntu), • Familiarity with cloud‑native services (Azure AKS, ACR), • Exposure to frontend frameworks (React, Vue.js), • Operations and technical troubleshooting experience Candidates will ideally show evidence of the above in their CV in order to be considered. Pontoon is an employment consultancy and operates as an equal opportunities employer. #J-18808-Ljbffr

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