Tesco Retail Media team is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.

We are seeking a Lead Front-End Engineer to drive excellence in front-end development and user experience for our high-scale SaaS platform. This role will be instrumental in shaping the front-end architecture, defining best practices ensuring high performance, security, and accessibility standards, and mentoring engineers.

You will collaborate closely with backend engineers, product teams, UX designers, and platform engineers to ensure our applications are scalable, resilient, and user-friendly. You will also work with New Relic and Google Lighthouse to monitor front-end performance and observability.

Key Responsibilities

• Technical Leadership: Define and establish front-end engineering best practices, including architecture, performance optimization, and maintainability.
• Front-End Architecture: Design and implement scalable, modular component architectures using ReactJS and optimize UI performance using tools like Google Lighthouse.
• Collaboration with Backend & BFF Teams: Work with backend teams to design API interactions that balance efficiency and security, without overloading the front-end.
• Mentorship & Upskilling: Guide and mentor engineers, establishing a strong front-end culture.
• CI/CD & Deployment: Improve front-end build pipelines, automated deployments, and observability using GitLab and Octopus Deploy.
• User Experience & Accessibility: Ensure the UI is fast, accessible, and intuitive, aligning with UX design best practices.

Required Skills & Experience

• 8+ years of front-end development experience with ReactJS, TypeScript, and JavaScript (ES6+), Design patterns and modern UI frameworks.

• Experience with Micro Frontends architecture and component libraries (e.g., Storybook, Material UI).
• Deep understanding of front-end performance optimization, Core Web Vitals, accessibility (WCAG), Webpack Bundle Analyzer, and React Profiler.
• In-depth knowledge of Webpack, Babel, ESLint, Prettier, and other modern build tools and task runners for optimizing development workflows.
• Experience integrating front-end applications with RESTful APIs and GraphQL.
• Strong knowledge of component-based architectures, and UI state management (Redux, React Query, etc.).
• Hands on automated testing (Jest, Cypress, React Testing Library).
• Experience with styled components and Emotion in ReactJS for modular and scoped CSS-in-JS, enabling efficient and dynamic styling
• Proficiency with Webpack's advanced features like tree-shaking, lazy loading, code-splitting, and bundle optimization.
• Strong collaboration skills to work effectively with cross-functional teams, including back-end engineers, UX designers, and product managers. (must for lead role)

Good to have:

• Experience working in cloud-based SaaS environments, with GCP preferred

• Experience with CI/CD pipelines and deployment automation (GitLab, Octopus Deploy)

• Test-Driven Development (TDD) approach to ensure code reliability and quality in complex projects.

Role Summary

We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.

Key Responsibilities

1  Model Design & Training

• Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
• Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
• Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
• Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
• Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.

2  Model Evaluation & Quality

• Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
• Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
• Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
• Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.

3  MLOps & Deployment

• Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
• Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
• Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
• Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.

4  Research & Innovation

• Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
• Contribute to internal knowledge sharing, technical documentation, and model cards.
• Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
• Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.

5  Collaboration & Stakeholder Management

• Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
• Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
• Participate in architecture reviews, sprint planning, and cross-functional design discussions.

Required Qualifications

1  Education

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
• Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.

2  Experience

• 4 – 6 years of professional experience in machine learning or NLP engineering.
• Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
• Demonstrable experience taking a model from dataset preparation through to production deployment.

3  Technical Skills — Core

• Programming: Python (proficient); familiarity with C++/CUDA a plus.
• Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
• NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
• Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
• Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
• Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
• Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
• Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.

4  Technical Skills — Nice to Have

• Experience with multimodal models or vision-language models (VLMs).
• Knowledge of model safety, alignment techniques, and responsible AI frameworks.
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.

Behavioural Competencies

• Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
• Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
• Ownership: Takes full accountability for model quality, timelines, and production reliability.
• Collaboration: Works effectively in cross-functional teams with diverse skill sets.
• Communication: Distils complex technical concepts for diverse audiences.
• Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About the role  

Konrad is looking to hire full-time Senior Quality Assurance Engineers. The ideal candidate will be responsible for helping to lead testing deliverables that utilize a blend of manual and automated strategies, communicating with client teams, software developers and project managers to determine project needs, creating test strategies with test case scenarios, create, update and maintain automated scripts and perform rigorous testing to ensure overall project success.

Our engineering teams work in smaller groups based on project size, collaborating closely with project management and our quality engineering specialists. We strive to create a work environment that encourages innovation, teamwork, career advancement and personal fulfillment.

Responsibilities 

• ​Lead the creation and execution of test strategies for complex programs, emphasizing automation to boost testing coverage and efficiency on different platforms(web/mobile).
• Drive the design and execution of scalable test automation frameworks that align with project goals.
• Utilize knowledge of API testing tools like Postman or REST Assured for comprehensive backend services testing and data integrity verification through API endpoints.
• Provide technical guidance to junior team members and QA team, guiding them towards achieving targeted automation objectives, fostering skill development and professional growth within the team.
• ​Perform regular quality checks and user acceptance tests for several projects on the supported devices, operating systems and browsers.
• Foster strong collaboration with software developers, project managers, and client teams to ensure clear communication and understanding of project needs and pushing QA initiatives forward.
• Document defects and provide technical details for the development team to assist with debugging.
• Assist the development team and management with other project-related tasks.

Successful candidates will have

• One of the following degrees (or similar) B.Tech Computer Application, B.Tech Computer Science, BE, Electronics and Communication Engineering, Bachelor's of Technology, Computer Science and Engineering
• Minimum of 2+ years of experience in an automation QA role within an agile setting, alongside a total of 3+ years of experience in software testing or related fields.
• Passion for QA process, engineering, & tooling - looking to improve our existing QA process with proactive suggestions and awareness of industry trends
• Proficiency in Git for effective management of automation scripts, test data, and configurations.
• Familiar with programming languages such as Java, JavaScript, Python to develop sophisticated automation scripts and frameworks.
• Excellent verbal and written communication skills, facilitating clear and effective interaction across teams and with stakeholders.
• Exceptional organizational skills and attention to detail, ensuring high-quality outcomes and systematic project tracking.
• Expertise with tools like Jira, Confluence, TestRail, or similar for project management and documentation.
• Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI/CD (or similar) to automate the testing and deployment process, enhancing operational efficiency and quality.

Perks and Benefits

• Socials, Outings & Retreats
• One day per week Work From Home flexibility
• Subsidized Lunch
• Culture of Learning & Development

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.
Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.

We are seeking a talented Lead Engineer with .NET expertise to lead development of a product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.

As a Lead Engineer, you will play a pivotal role in designing and delivering high-quality software solutions.

You will be responsible for contributing to system architecture and ensuring adherence to engineering best practices. Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products.

What will you be doing?

You will design and deliver .NET Core solutions within microservices architecture, ensuring adherence to compliance, security, and quality standards. Implement best practices in coding, CI/CD, and DevOps while balancing delivery timelines with technical excellence. Conduct regular performance reviews, provide actionable feedback, and drive innovation through continuous improvement and process enhancements. Focus on improving developer productivity and coaching junior team members to achieve their full potential. You will collaborate with product managers and architects to define technical roadmaps.

What would you need to be successful in the role?

• Experience 9+years
• Proven experience leading technical teams and delivering complex projects.
• Strong understanding of object-oriented programming, data structures, and algorithms.
• Possess strong technical expertise in C#, .NET Core and experience building RESTful APIs with a deep understanding of design patterns, SOLID principles, system design, and engineering best practices.
• Strong experience designing distributed systems using microservices and event-driven architecture
• Familiar with microservices and event-driven architecture using tools like RabbitMQ , Google Pub/Sub and Kafka, as well as containerization technologies such as Docker and Kubernetes.
• Hands-on experience with:
  
  • Docker and Kubernetes (K8s)
  • Cloud platforms (GCP / Azure / AWS)
  • Relational databases (Postgres preferred) and analytical databases (BigQuery preferred)
  • Testing Framework (Xunit / NUnit/ Cypress)
  .

• Experienced in using DevOps tools like GitLab CI/CD and leveraging cloud platforms, particularly GCP or Azure, for scalable solutions.
• Additional knowledge of Redis, and Elasticsearch is an advantage
• Demonstrate a deep understanding of distributed systems, cloud-native applications, and Unix/Linux environments, alongside expertise in testing strategies, code quality, and secure coding tools like SonarQube and Checkmarx.
• Proficiency with version control systems like Git
• Adept at utilizing observability tools like New Relic to monitor systems, with solid knowledge of SDLC, Agile methodologies, and strong interpersonal and leadership skills to effectively motivate teams.
• Familiarity with the AdTech or Retail domain is an added advantage
• Work experience preferably in a product company

Location Preference: Gurgaon, India

This is an in office position 5 days a week.

About Us:

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

As a Software Developer, you will work within a supportive team in an agile, continuous delivery organization. You will collaborate with designers and engineers to help deliver product capabilities and features to our groundbreaking cloud-based mobile product.

Sauce Labs is looking for a team player who demonstrates strong ownership and emerging leadership qualities in a strategic component. This could be you, specifically, if you have strong hands-on PHP experience and are comfortable developing in multiple languages, delivering features that span web, backend, and mobile. As a key member of the team, you will work directly with business and engineering leadership across Sauce Labs and with engineers from other leading tech companies.

Responsibilities:

• Be a proactive team player, eager to explore the unknown, and solve complex problems.
• You'll work closely with development and product management teams to actively contribute to defining user story acceptance criteria, breaking down complex stories into manageable tasks, providing estimates, planning, and ultimately delivering results.
• Contribute to the technical design process by participating in the analysis of technical application requirements.
• Working as part of an agile development team, developing new features of our product with quality and efficiency.
• Design, build, maintain, and actively participate in code reviews for high-traffic, scalable services.
• Take End-to-End ownership of your deliverables, including crafting technical specs, writing readable and extensible code, runbooks, and post-release metrics.
• You will start contributing to the engineering strategy and development, as well as the operation and maintenance of our product.
• Interacting with architects, UX, and Ops, and participating in planning, design, and review meetings.
• Collaborating with cross-functional team members on all aspects of development and process.
• Providing end-user support.
• Other duties as assigned by the company’s needs.

Required Skills:

• 4+ years of professional software development experience.
• Creative problem solver with a willingness to learn & grow.
• Strong experience in PHP (8.x +) development, working with complex integration API, including user management and billing type APIs.
• Understanding design patterns and OOP principles.
• Proficient in working in an AWS/GCP environment.
• Comfortable working with Linux command tools and Apache HTTPD.
• An asset to have Bash, Python, or other scripting language experience.
• Exposure to CI/CD pipelines, including GitHub Actions and/or GitLab CI.
• Experience with DevOps practices and tools, including Ansible and Terraform
• You are self-motivated & take ownership of your work (both independently & with peers).
• Experience in web development using Typescript + React/Angular is an asset.

Nice to Have:

• Mobile development experience.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employee and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

We are looking for a hands-on Lead/ Senior DevOps Engineer to raise the bar for our DevOps practice, mentor the team, and help evolve our DevOps function into a modern, product-minded Platform Engineering capability. You’ll lead day-to-day work, partnering closely with Dunnhumby leadership, and drive high-quality outcomes across infrastructure-as-code, CI/CD, observability, and developer experience. You’ll collaborate directly with software teams and treat platforms as products—anchored by user feedback, clear roadmaps, SLOs, and measurable improvements to delivery speed and reliability.

Our Toolset: (you don’t need all, but you can lead with most)

What You'll Do

• Lead and mentor a small team of DevOps engineers in IST, providing day-to-day guidance, pairing, and structured growth plans.
• Partner with product and engineering teams to help deliver a platform-as-product: contributing to clear roadmaps, customer feedback loops, SLOs, and well-documented golden paths.
• Own cloud infrastructure (GCP, some Azure) using infrastructure-as-code (Terraform).
• Design, standardize, and continuously improve CI/CD pipelines in GitLab, and facilitate migrations from TeamCity and Octopus Deploy.
• Establish and scale GitOps practices with Argo CD; champion progressive delivery and environment promotion strategies.
• Strengthen observability with actionable dashboards and alerts in Grafana; drive SLO/error-budget thinking and operational reviews.
• Improve security posture across the SDLC (secrets management, image/package governance, artifact hygiene, SAST/DAST reporting via SonarQube).
• Facilitate excellent cross-time-zone communication and handovers; set up crisp status updates, docs, and runbooks in Confluence.
• Influence architecture and reliability decisions (Kubernetes, networking, IAM, cost management) with a bias for automation and sustainability.
• Contribute hands-on: code reviews, IaC modules, pipeline templates, and reference implementations.

What You'll Bring

• 8+ years in DevOps / SRE / Platform Engineering with hands-on delivery in cloud-native environments.
• Proven leadership: experience in line management and mentoring/coaching across teams without formal authority.
• Strong communication: clear written and verbal communication with engineers, stakeholders, and leadership across time zones.
• Deep experience with GCP (preferred) and working knowledge of Azure; strong grounding in Kubernetes, networking, IAM, and security fundamentals.
• Mastery of infrastructure-as-code (Terraform) and configuration management (Helm); excellent scripting in Bash and at least one higher-level language (Python/Go/etc.).
• Fluency with CI/CD design and operations using GitLab, TeamCity, and Octopus; artifact and dependency management via Artifactory.
• Operational excellence mindset: incident management, post-incident reviews, runbooks, SLOs, and data-driven improvement via DORA/SDLC metrics.
• Track record of building developer-centric platforms, internal documentation, enablement materials, and golden paths.
• Relevant certifications that demonstrate depth (e.g., Google Professional Cloud DevOps Engineer / Architect, CKA/CKAD/CKS, Azure Administrator/DevOps Engineer Expert).

Nice to Have

• Experience modernizing a traditional Cloud/Infra team into a product-oriented Platform Engineering practice.
• Background with GitOps policy/guardrails, environment promotion, and release orchestration at scale.
• Exposure to cost optimization and FinOps practices in GCP/Azure.
• Hands-on with self-hosted GitLab Premium administration at enterprise scale.
• Pragmatic, outcome-focused delivery with a product mindset and high empathy for developers as customers.