Full Stack Engineer

London, GB

Dentons

Dentons is a global law firm driven to provide you with the competitive edge in an increasingly complex and interconnected marketplace. We were formed by the March 2013 combination of international law firm Salans LLP, Canadian law firm Fraser...

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Department/Division: Information Technology                   
Reports to: Development manager                
Type of Role: Cloud Engineer/Full Stack Engineer

Requsition nr: 7841
 
The Role


The role of a full stack engineer is crucial for driving the deployment of cutting-edge legal tech solutions and overseeing end-to-end implementation from Proof of Concept (PoC) to Minimum Viable Product (MVP) and beyond. This role will contribute significantly to our business goals by ensuring that our AI-based legal products are developed efficiently and meet industry standards. The full stack engineer will partner with legal teams, data scientists, frontend engineers, and product managers to gather requirements, align on objectives, and ensure shared accountability. They will provide transparent updates on progress and risks throughout the project lifecycle, maintaining clear communication with all stakeholders.

 

Responsibilities

 

  • Drive the deployment of cutting-edge legal tech solutions and oversee end-to-end implementation from PoC to MVP and beyond. 
  • Partner with legal teams, Data Scientists, Frontend Engineers, and Product Managers to gather requirements, align on objectives, and ensure shared accountability. Provide transparent updates on progress and risks throughout the project lifecycle, maintaining clear communication with all stakeholders. 
  • Oversee the full lifecycle of backend and AI-focused initiatives, balancing resource allocation, risk management, and quality controls. Ensure projects are delivered on time and meet the highest standards. 
  • Lead by example, conducting code reviews and sharing expertise on cloud infrastructure, DevOps, and data engineering. 
  • Promote best practices in security, data privacy, and regulatory compliance. Collaborate with Information Security and Data Protection teams to build robust, compliant solutions. 
  • Identify opportunities to optimize workflows, infrastructures, and technology stacks, driving continuous improvement across projects and teams. 


Required experience, skills, and attributes


Technical Skills

  • Extensive Technical Experience: Minimum of 8 years in software engineering with a proven record of delivering complex, scalable AI-driven solutions from Proof of Concept (PoC) through Minimum Viable Product (MVP) to production. 
  • Backend and Cloud Architecture Expertise: Advanced skills in architecting backend systems using microservices, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, Azure Bicep). 
  • AI Integration and LLMOps: Experience deploying Retrieval-Augmented Generation (RAG) pipelines using vector databases (Weaviate, Pinecone, or Azure Cosmos DB’s vector search)—and familiarity with Python-based LLMOps frameworks (LlamaIndex, LangChain, LangGraph). 
  • CI/CD and DevOps Proficiency: Demonstrated ability to establish and maintain CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, CircleCI), integrate security scans (SonarQube, Snyk), and enforce best practices in version control and code quality, while making strategic decisions on DevOps tooling and infrastructure. 
  • Cloud Services Mastery: In-depth experience designing and optimising cloud architectures on platforms such as Azure (preferred), AWS, or GCP, including serverless deployments (Azure Functions, AWS Lambda) and the use of monitoring/logging tools (Azure Monitor, Prometheus). 
  • Data Engineering Background: Solid experience in implementing data engineering pipelines using ETL/ELT tools (Apache Airflow, Azure Data Factory), managing data warehousing solutions (Snowflake, BigQuery, Azure Synapse), and handling streaming platforms (Kafka, Event Hubs). 
  • Security and Compliance: Proven ability to embed robust security practices (e.g., Azure AD, OAuth, JWT) and maintain compliance with data privacy regulations in complex environments. 
  • Proven ability to collaborate effectively with cross-functional teams—including data scientists, product managers, backend engineers, and other stakeholders—to deliver cohesive and intuitive digital solutions. 
  • Certifications and Emerging Technologies: Willingness to pursue or maintain relevant certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert) and stay informed about emerging technologies such as multi-agent AI workflows and new DevOps. 


   Personal Attributes

  • Excellent written and verbal communication skills 
  • Methodical approach to work with a strong focus on accuracy   
  • Can clearly explain problems and issues to others and contribute to their resolution 
  • Able to prioritise and multi-task particularly when working under pressure and to tight project deadlines 
  • Able to interact positively at all levels and a good team player 
  • Able to demonstrate excellent customer / client facing skills 
  • Flexible and adaptable to changing circumstances 
  • Can demonstrate confidence and resilience to overcome obstacles to deliver what is required 
  • Strong problem solving skills to deal with complex issues 
  • Can demonstrate initiative and the ability to be proactive, while also being able to follow instructions and provide support to the Applications Services Manager  
  • Experience of working in a law firm or a professional services environment would be an advantage 
     

Firm Profile

 

Across more than 80 countries, Dentons helps you grow, protect, operate and finance your organisation by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you. www.dentons.com

 

Inclusion and Diversity

 

We are committed to building an inclusive culture here at Dentons where our people can thrive, regardless of their background or circumstance. As well as being the right thing to do, it makes good business sense too. A richness of backgrounds, experiences and perspectives helps us best serve our clients and the communities in which we operate. You can find out more about inclusion and diversity at Dentons here: Inclusion and Diversity.

 

Equal Opportunities

 

Dentons is committed to providing equal opportunities for all. We welcome applications from everyone including of any age, ethnicity, religion, sex, sexual orientation, gender identity, nationality, neurodiversity, disability, or with parental or caring responsibilities. We also offer flexible working hours.

 

During the application process, all applicants have the opportunity to tell us about any adjustments or support they require so they are able to perform at their best. Any information you share with us during the application process is treated in confidence.

 

If you have any questions about this or the role criteria, please email recruitment.matters@dentons.com.  

 

While it is not a requirement that you inform your current manager of any internal applications, we would recommend that you do so.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Azure BigQuery CI/CD Cosmos DB Data Warehousing DevOps Docker ELT Engineering ETL Finance GCP GitHub Jenkins Kafka Kubernetes Lambda LangChain LLMOps Microservices MVP Pinecone Pipelines Privacy Python RAG Security Snowflake Streaming Terraform Weaviate

Perks/benefits: Career development Flex hours

Region: Europe
Country: United Kingdom

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