Jobs at DVT

Design, develop, and deploy scalable full-stack applications using .NET/C# and Angular. Build RESTful APIs and microservices, implement CI/CD, support cloud environments (Azure/AWS), conduct code reviews, mentor junior developers, and contribute to architecture and DevOps practices.

Design, build, test and deploy .NET applications and integrations; create CI/CD pipelines; manage Azure DevOps projects; mentor developers; implement DevOps and microservices practices; conduct code reviews and improve development governance; integrate systems and assist cloud adoption.

Lead design, development, and maintenance of complex SQL Server databases. Write and optimise T-SQL queries, stored procedures, and triggers; perform schema and data modelling; tune performance and ensure data integrity; build ETL pipelines (SSIS); engage with clients to gather requirements and design solutions; mentor junior developers and enforce database engineering standards; integrate with BI tools for reporting.

Lead TFVC-to-Git migration for a financial client using Azure DevOps; assess repos, plan cutovers, implement Git workflows, modernize YAML Azure Pipelines, improve .NET CI/CD, mentor teams, and deliver migration documentation, security and quality improvements, and handover materials.

Design, build, and operate AWS-first data platforms. Manage ETL/ELT pipelines, engage with clients, ensure data quality, and collaborate with teams.

Design, develop, and deliver enterprise Power BI dashboards, reports, scorecards and analytics. Build scalable reporting solutions, optimize SQL performance, ensure data quality and governance, translate business requirements into BI solutions, automate reporting, collaborate with stakeholders and mentor junior BI staff.

Design, build, and deploy scalable AI and LLM-driven solutions (RAG, agents). Develop end-to-end ML pipelines, APIs, monitoring, and intelligent document processing while ensuring governance, security, and enterprise-grade production operations.

Design and build scalable Java-based microservices and APIs using modern frameworks (Spring, Micronaut, Jakarta EE). Integrate with frontend teams, messaging systems, databases, cloud platforms, containers, and CI/CD to deliver high-quality, test-automated enterprise solutions.

Design, build, and deploy scalable full-stack applications using .NET/C# backends and Vue/Angular frontends. Implement RESTful APIs and microservices, maintain CI/CD pipelines, support cloud environments (Azure/AWS), conduct code reviews, mentor developers, and contribute to architecture decisions.

Own and operate production Kubernetes platforms, manage cluster lifecycle and autoscaling, maintain CI/CD pipelines (Azure DevOps), implement IaC (Terraform), improve observability and SLOs, lead incident response, and mentor engineers to ensure reliability, scalability, security, and cost-efficiency.

The AWS Platform Engineer collaborates with teams to deploy applications, automate processes, and maintain CI/CD pipelines, providing technical leadership and mentorship.

Design, develop and maintain C++ and .NET applications; integrate SQL databases; implement CI/CD pipelines for Azure and on-prem; manage Azure DevOps projects; apply DevOps and microservices practices; mentor junior developers; troubleshoot, optimize performance, and ensure code quality and governance.

The Senior iOS Developer will create and enhance mobile applications using UIKit and SwiftUI, ensuring high-quality code and seamless user experiences by collaborating with designers and integrating APIs.

The Cloud Lead will manage and provide technical leadership for GCP infrastructure, focusing on automation, cloud-native architecture, and mentoring junior engineers.

As a Senior Android Developer, you'll develop mobile apps, collaborate with teams, ensure security and stability, and manage application state effectively.

The Senior DevOps Engineer at DVT is responsible for managing AWS cloud infrastructure, automating processes, ensuring CI/CD practices, collaborating with software teams, and providing technical leadership while engaging with clients across sectors.

Design and build scalable Azure data platforms and pipelines, implement ETL/ELT and real-time ingestion, ensure data quality and governance. Develop and validate predictive models, perform feature engineering, and translate insights to stakeholders. Implement MLOps practices: CI/CD, automated training/deployment, model versioning, monitoring and production optimisation. Collaborate across data engineering, data science and business teams to operationalise enterprise-scale AI solutions.

The Senior Data Engineer will design and implement scalable Databricks-based data platforms, lead data migration initiatives, and mentor junior engineers while collaborating with various stakeholders on analytics solutions.