Jobs at DVT

Build governed, reusable data products, data marts, semantic models, and Power BI assets for enterprise self-service analytics. Responsibilities include dimensional and behavioral modeling, KPI definition, data quality testing, governance, certification, lineage, automation, CI/CD, and platform optimization. The role also supports AI-enabled analytics through trusted semantic layers and reusable datasets, templates, and playbooks. Collaboration with analytics teams and work in Agile environments are required.

Designs and builds production-grade enterprise AI applications using Python and .NET. Responsibilities include developing Generative AI and RAG solutions, integrating LLMs, embeddings, semantic search, vector databases, and agentic workflows, and implementing Human-in-the-Loop governance. The role also covers AI evaluation, observability, monitoring, secure architecture, stakeholder collaboration, proof-of-concept development, and technical direction.

Lead the hands-on design and implementation of AI-augmented software engineering platforms across multiple teams. Build agentic workflows, retrieval and context layers, evaluation frameworks, guardrails, developer tooling, telemetry, and CI/CD integrations. Establish technical standards, assess AI models and services, ensure security and regulatory compliance, and influence architecture without direct management responsibility. Mentor senior engineers and deliver production solutions across Java, .NET, React, Flutter, and AWS environments.

Leads enterprise AI strategy, architecture, and solution design across client engagements and internal initiatives. Advises stakeholders, facilitates discovery workshops, evaluates AI platforms, designs scalable and secure architectures, defines roadmaps and governance models, and provides delivery oversight. The role also includes thought leadership, mentoring, innovation, architecture reviews, responsible AI guidance, and support for proposals and business development.

Lead hands-on platform engineering across Azure and AWS, improving cloud estate management from reactive support to proactive operations. Establish maintenance, patching, upgrades, lifecycle practices, engineering standards, technical priorities, automation, security, reliability, resilience, and observability. Provide technical guidance to platform engineers while contributing directly to infrastructure remediation and continuous improvement. The role requires experience with both cloud platforms, Infrastructure as Code, Kubernetes, and CI/CD.

Designs, builds, tests, and implements AWS and Salesforce integrations using APIs, EventBridge, and S3 batch flows. Improves GitLab CI/CD by supporting trunk-based development and Snyk scanning, establishes observability through CloudWatch, and provides basic Google Cloud infrastructure for data teams. The role also involves solution architecture, DevSecOps, stakeholder communication, and client-facing consulting across cloud and CRM organizations.

Build and govern Azure Landing Zones, automate infrastructure with Terraform or Bicep, manage Entra ID and RBAC, and create CI/CD pipelines. Support containerized hybrid-cloud workloads, .NET/C# APIs, and AI components while enforcing data residency. The role is client-facing, requiring technical leadership, mentoring, consulting, and collaboration with development teams.

Develop and enhance native iOS applications using UIKit and SwiftUI. Build maintainable code with MVVM and clean-code practices, integrate REST APIs and WebView journeys, collaborate with designers and developers, and ensure application security, stability, scalability, and performance through testing and troubleshooting.

Develop and enhance production-grade iOS applications using Swift, UIKit, and SwiftUI. Integrate APIs, write maintainable and testable code, apply architectural patterns, participate in code reviews and SDLC processes, troubleshoot production issues, and support release cycles. Collaborate with designers, backend engineers, and product stakeholders while contributing to security, testing, CI/CD, and continuous improvement within an established codebase.

Manage software and technology consulting projects from scope definition through delivery. Responsibilities include planning, execution, documentation, stakeholder communication, budget oversight, risk and issue management, governance, dependency tracking, and coordination across clients, suppliers, business teams, and technology teams. The role requires strong delivery management experience, particularly in regulated financial services and risk, regulatory, and compliance environments.

Define and govern Java/JVM engineering standards, architecture, tooling, quality guardrails, and competency frameworks across client engagements. Lead technical assessments, mentor engineers, support proposals and client workshops, develop reusable accelerators, and drive adoption of AI-assisted development and LangChain4j-based LLM integrations. Provide technical authority across Java and adjacent backend technologies without owning delivery management or line management.

Build and maintain scalable full-stack applications across React and Next.js frontends, Python and FastAPI backends, PostgreSQL and Redis data layers, containerized environments, and AI/LLM workflows. Responsibilities include integrating OpenAI and Azure OpenAI capabilities, implementing RAG and search flows, debugging distributed systems, writing automated tests, supporting observability and security, and collaborating across frontend, backend, infrastructure, and data teams.

Lead technical business analysis for banking and insurance clients across integration, risk, transformation, and application development initiatives. Elicit and document requirements, create functional specifications, user stories, acceptance criteria, process flows, and models, and support Agile delivery. Collaborate with senior stakeholders, Product Owners, Scrum Masters, architects, developers, and technical teams. Facilitate workshops and sprint ceremonies, manage backlog refinement and prioritization, ensure traceability, and contribute to continuous improvement across consulting engagements.

Leads the architecture and delivery of Azure- and AWS-based data engineering foundations for data science, machine learning, Generative AI, and agentic AI initiatives. Builds governed pipelines, curated datasets, reusable data products, feature stores, MLOps and LLMOps capabilities, and production-ready AI services. Provides technical leadership to data engineers while coordinating with cloud, security, governance, architecture, and data science teams. Establishes monitoring, deployment, incident management, data quality, privacy, and cloud cost optimization practices.

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.

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

Design, implement, secure, automate, and operate Microsoft Fabric cloud platforms for enterprise clients. Responsibilities include configuring capacities, workspaces, OneLake, and DEV/TEST/PROD environments; implementing Terraform IaC and CI/CD pipelines; managing identity, access, governance, monitoring, and operational readiness; integrating Azure services; documenting standards and runbooks; and providing technical leadership while collaborating with cloud, security, architecture, and data engineering teams.

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.