Digital Engineering Architect

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.

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.
• 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 GCP, 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.

Benefits

• Why QualityAI?
• Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.
• A clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.
• Flexible and casual culture - Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
• Experimentation and learning - Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
• Refer and earn - Tap your network for net-worth. Refer and earn - tap your network for net-worth.
• Competitive pay - The salary range for the role is $180,000 - $200,000.

Contact

If you like what you have read, send us your resume and let’s start talking! Intrigued to find more about us? Visit our website at https://www.QualityAIgroup.com/.
LinkedIn: https://www.linkedin.com/company/qualityaigroup.