Digital Engineering Architect

Are you interested in working with the World’s leading AI-first Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!

We are looking for a Digital Engineering Architect to join our growing team in United States!

Job Summary:
We are looking for an experienced Digital Engineering Architect to lead the design, architecture, and delivery of modern digital engineering solutions. The ideal candidate should have strong experience in cloud-native architecture, application modernization, microservices, APIs, DevOps, data platforms, security, and enterprise integration.

This role requires a hands-on technology leader who can work closely with business stakeholders, engineering teams, product owners, and client leadership to define scalable, secure, and future-ready digital solutions.

Key Responsibilities:

• Define end-to-end architecture for digital engineering solutions across web, mobile, cloud, data, AI, and enterprise platforms.
• Lead solution design for application modernization, cloud migration, microservices, API-led integration, and platform engineering initiatives.
• Work with clients and internal teams to understand business requirements and translate them into technical architecture and implementation roadmaps.
• Evaluate technology options and recommend suitable architecture patterns, tools, frameworks, and platforms.
• Provide technical leadership to engineering teams during design, development, deployment, and production support.
• Drive best practices around cloud-native development, DevOps, CI/CD, automation, observability, security, performance, and scalability.
• Review architecture, code quality, deployment design, integration approach, and non-functional requirements.
• Support pre-sales activities including solution proposals, estimates, technical presentations, and client discussions.
• Collaborate with product managers, architects, developers, QA engineers, DevOps teams, and security teams to deliver high-quality solutions.
• Promote modern engineering practices including Agile, DevSecOps, test automation, SRE, AI-assisted engineering, and reusable accelerators.

Required Skills and Experience:

• Digital Architecture: Experience designing enterprise-grade digital platforms using scalable, secure, and maintainable architecture patterns.
• Microservices and APIs: Strong knowledge of microservices, REST APIs, GraphQL, API gateways, service communication, and integration patterns.
• Cloud Platforms: Hands-on experience with at least one major cloud platform such as Azure, AWS, or Google Cloud Platform, including compute, storage, networking, security, and monitoring services.
• Containers and Kubernetes: Experience with Docker and Kubernetes platforms such as AKS, EKS, GKE, or OpenShift for containerized application deployment.
• DevOps and CI/CD: Experience building and managing CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or similar tools.
• Infrastructure as Code: Knowledge of Terraform, Bicep, ARM templates, CloudFormation, or similar tools for automated infrastructure provisioning.
• Application Modernization: Experience modernizing legacy applications, including monolith-to-microservices transformation, cloud migration, and platform re-engineering.
• Data and Databases: Experience with relational and NoSQL databases such as PostgreSQL, SQL Server, MongoDB, Cosmos DB, DynamoDB, or similar platforms.
• Messaging and Event-Driven Architecture: Knowledge of message brokers and event-driven systems using tools such as Kafka, RabbitMQ, Azure Service Bus, SNS/SQS, or Pub/Sub.
• Security and Identity: Strong understanding of SSO, OAuth2, OIDC, SAML, RBAC, API security, secrets management, encryption, and cloud security best practices.
• Observability and Monitoring: Experience with monitoring, logging, tracing, and observability tools such as Prometheus, Grafana, ELK, Splunk, Datadog, App Insights, or CloudWatch.
• AI/GenAI Exposure: Understanding of AI/GenAI solution patterns, LLM integration, RAG, prompt engineering, AI governance, or AI-enabled SDLC is preferred.
• Engineering Leadership: Ability to guide development teams, review architecture/design, enforce best practices, and mentor engineers across delivery phases.
• Agile Delivery: Experience working in Agile/Scrum environments with product owners, business stakeholders, engineering teams, and QA teams.
• Client and Stakeholder Management: Strong communication skills with experience working directly with clients, senior stakeholders, and cross-functional teams.
• Pre-Sales and Solutioning: Experience supporting proposals, estimates, architecture presentations, RFP responses, and technical solution discussions is preferred.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• 15 years of overall IT experience with strong hands-on background in software engineering, architecture, cloud platforms, and DevOps.
• Minimum 5+ years of experience in architecture, solution design, or technical leadership roles.
• Proven experience designing and delivering enterprise-scale digital engineering solutions.
• Strong understanding of modern engineering practices, including Agile, DevSecOps, CI/CD, automation, and quality engineering.
• Excellent communication, stakeholder management, and presentation skills.
• Ability to work with senior client stakeholders and explain complex technical topics in simple business language.
• Background/knowledge of AI.

Preferred Qualifications:

• Cloud certification such as Azure Solutions Architect, AWS Solutions Architect, or Google Professional Cloud Architect.
• Experience in consulting, client-facing solution architecture, technical advisory, or pre-sales.
• Exposure to AI-enabled SDLC, engineering automation, quality engineering, and digital transformation programs.
• Experience with enterprise tools such as ServiceNow, Salesforce, SAP, Azure DevOps, Jira, Confluence, or similar platforms.
• Knowledge of domain-specific platforms in banking, healthcare, insurance, retail, telecom, manufacturing, or technology industries.