Rajan Sheth

Personal Profile

Rajan is a dedicated and adaptable T-shaped engineer with a strong enthusiasm for learning and innovation. Strong understanding of quality with the ability to recognise and build automation frameworks to assist in the speed and delivery of projectst. He thrives in fast-paced environments, taking on challenges that showcase his versatility across multiple disciplines, including testing, development, DevOps, and management.

As a confident team player and experienced coach, Rajan effectively upskills teams in emerging technologies and fosters collaboration. He excels at simplifying complex processes and is skilled at identifying and resolving constraints, always prioritizing client and company value. With a commitment to continuous growth, Rajan is ready to bring his expertise and innovative mindset to a forward-thinking organization.

Employment and Projects

Sainsbury's Tech, London (Hybrid)
Feb '25 - Current Engineering Lead Consultant (via Daemon Solutions)

Leading the technical delivery of a digital content platform rollout across Sainsbury's 1,400+ physical stores

Project: In-store Digital Content Platform

Content delivery across all of the Sainsbury's estate to manage paid and unpaid content/adverts

  • Technical Leadership & Architecture - Leading engineering strategy and architectural decisions for a high-availability platform serving 1,400+ stores, defining technical standards, code review processes, and ensuring alignment between business objectives and engineering delivery across multiple development teams.
  • Modern Java Development - Architected and developed high-performance microservices using Java 21+ with modern language features, implementing reactive programming patterns and leveraging virtual threads for improved concurrency and resource utilization in cloud environments.
  • AWS Cloud Infrastructure Leadership - Designed and implemented scalable AWS infrastructure using services including S3, Lambda, establishing infrastructure-as-code practices and ensuring cost optimization while maintaining enterprise-grade performance and availability.
  • CI/CD Pipeline Engineering - Implementation of GitHub Actions workflows, establishing automated testing, security scanning, and deployment pipelines with blue-green deployment strategies.
  • Observability & Performance Engineering - Implemented comprehensive monitoring and alerting solutions using New Relic, establishing custom dashboards and proactive alerting that improved system reliability.
  • Team Leadership & Mentorship - Mentored junior and mid-level engineers through code reviews, architectural discussions, and hands-on pairing sessions, while establishing engineering best practices, coding standards, and knowledge-sharing processes that improved team velocity and code quality.
HMRC - CDIO, Remote (Security Cleared)
Feb '23 - Nov '24 Senior Engineering Consultant (Contract via EE)

UK Government HMRC going through the largest transformation in Europe

Project: CDAP

A team owning the re-platforming of services and tools as well as managing the cloudera migration.

  • Cross-Functional Collaboration - Acted as a development lead within the platform team, aligning engineering efforts with business objectives, ensuring smooth delivery processes, and fostering effective communication across teams to achieve strategic goals.
  • Kotlin Microservices Development - Built and optimized microservices using Kotlin (JVM) to streamline data processing and improve performance.
  • Security & Configuration Management - Migrated sensitive configurations to Vault, ensuring compliance with security standards and access control.
  • Cloud Infrastructure & Monitoring - Implemented AWS-based monitoring and alerting using CloudWatch to enhance system observability and reliability.
  • Performance Optimization - Improved system performance by refining development practices and enhancing test coverage with automated testing frameworks.
  • Cloud Migration Strategy - Led Cloudera cloud migration and dual-running strategies to minimize downtime and ensure operational continuity.
  • GitLab CI/CD Automation - Spearheaded the migration to GitLab, leveraging containerization with Docker and optimizing CI/CD pipelines to enhance deployment automation, scalability, and efficiency across environments.
  • Training - Conducted workshops and pairing sessions to upskill teams and drive adoption of best practices.
John Lewis, London
Oct '18 - Feb '23 Lead Engineering Consultant (Contract via EE)

A British household retailer, where re-platforming, training partners and innovating in the online space has been opening new avenues online as well as maintaining strong customer relationships has been at the core technology values.

Project: Recommendations (July '22 - Feb '23)

Led a cross-functional team in delivering personalized product recommendations by driving architectural improvements and enhancing the performance and reliability of customer-facing services.

Project: Digital Merchandising (December '19 - July '22)

Managed the migration of legacy systems and led a team to modernize the digital merchandising platform, resulting in a more scalable, flexible architecture supporting real-time operations across multiple microservices.

Project: CRM Acceleration (October '18 - December '19)

Led a high-performing team responsible for migrating legacy CRM systems to microservices, ensuring high availability and performance while overseeing cross-functional collaboration and technical execution.

  • Automation - Managing and owning the automation frameworks in Cypress, Junit and Kunit mixing between java and kotlin applications.
  • Leading Service Health Audits & Technical Improvements - Oversaw a comprehensive audit of service health, guiding the team through improving Kotlin (JVM) code quality, refining development processes, and strengthening test coverage for increased production stability.
  • Driving Data Infrastructure Development - Led the design and implementation of scalable data pipelines in collaboration with data scientists, leveraging Google Dataflow, Cloud Functions, and Pub/Sub to enable real-time customer data processing.
  • Strategic Data Model In-Housing & Migration - Defined and executed the migration strategy for bringing data models in-house, ensuring smooth transition without impacting sales conversion, while optimizing internal data architecture.
  • Overseeing Machine Learning Model Deployment - Led the integration and deployment of machine learning models using Google Vertex AI, ensuring high availability and seamless operation in a production environment.
  • Fostering a Culture of Experimentation & Innovation - Encouraged a culture of experimentation and innovation, empowering engineers to explore new technologies and methods, which resulted in more efficient and impactful product features.
  • Cross-Functional Enablement through Workshops & Pairing - Drove team development by organizing regular workshops and pair programming sessions, promoting knowledge sharing and ensuring alignment on technical direction across teams.
  • Data Analysis Leadership for Business Insights - Directed the analysis and reporting of key business data, utilizing Google Big Query, Google Datastore, and Google Datastudio to provide actionable insights to stakeholders and inform strategic decisions.
  • Building Operational Tools for Efficiency - Led the development of back-office tools that streamlined operations, reduced manual tasks, and enhanced productivity for internal teams.
  • Automating Processes with Cloud Functions - Championed the automation of workflows, removing manual intervention through the use of cloud functions, resulting in greater efficiency and reduced error rates.
  • Promoting Operational Reliability & Monitoring - Instilled a focus on operational reliability by building and maintaining observability tools and performance monitoring dashboards, ensuring high availability of critical services.
  • Enhancing Tooling & Development Practices - Spearheaded the creation of internal tools that optimized development processes, making the team more agile and reducing time-to-market for key features.
  • Implementing Microservices Architecture for Scalability - Guided the implementation of a microservices architecture, enabling teams to deploy independently and scale with business demands while minimizing downtime.
  • Cross-Disciplinary Collaboration for Testing & Performance - Led cross-functional collaboration with central testing and performance teams, ensuring all services adhered to stringent quality standards and performance requirements.

Past Employment

ASOS, London Mar '18 - Oct '18 Engineering Consultant (Contract)
Trainline, London Apr '17 - Mar '18 Engineering Consultant (Contract via YLD)
Channel 4, London Nov '16 - Apr '17 SDET (Contract)
YOOX Net-A-Porter, London Oct '13 - Nov '16 Test Automation Lead / Delivery Manager
Cancer Research UK, London Aug '11 - Oct '13 Test Analyst

Technical Skills

Languages
  • JVM based - Kotlin, Java, Scala
  • React
  • Frameworks - HTTP4k, Ktor, Spring Boot
  • Bash scripting / Python
Deploying & Cloud
  • Azure / Google Cloud Services / AWS
  • Docker
  • Kubernetes, Helm
Data
  • Google Dataflow, BigQuery, Datastore & PubSub, Kafka
  • MySql, Azure DB & Postgres
Build / Build Tools / Development
  • GitLab, GitHub Actions, Jenkins
  • Gradle, Maven, WebPack
  • Git, GitFlow
Logging & Monitoring
  • ELK - Elastic Search / Kibana, Grafana, AlertManager
  • New Relic, Splunk, Kibana, Prometheus
Testing
  • TDD, BDD and ATDD
  • K6, Gatling, Locust IO, Siege, Wrk & Apache ab
  • Security Automation with In-house Java Client to external tools like Nessus, Burp Suite, OWASP ZAP
  • Contrast Testing
  • Cypress, Selenium, Karate, Junit, Kunit
Other
  • Slack API
  • Google Secret Manager, Hashicorp Vault, Kubeseal
  • Terraform / Terragrunt

Education & Qualifications