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.
Never miss an opportunity! Create an alert based on the job you applied for.