Devops Lead in Atlanta, GA - Hybrid Role

Devops Lead

Long Term Contract

Tax Term: W2 OnlyHYBRID work option: However, the selected candidate must be available to report onsite as directed by the client.We are seeking a Technical Lead with over 10 years of relevant experience in modern technologies to provide architectural direction, technical guidance, and delivery oversight across multiple modernization and integration projects. The ideal candidate has a strong understanding of modern web frameworks, backend APIs, cloud infrastructure, and DevOps pipelines with the ability to lead teams through complex technical challenges while focusing on quality, scalability, and maintainability.The suitable candidate will play a pivotal role in guiding the technical direction of projects, hands-on coding and ensuring the successful delivery of high-quality software solutions. The ideal candidate is an innovative professional with a passion for leading tech teams and driving technical excellence.Key ResponsibilitiesTechnical Leadership &Solution Design

• Define and communicate the technical vision for applications and integrations across projects.
• Review and validate architecture, code, and deployment strategies for scalability and security.
• Provide directions to developers, DevOps engineers to ensure cohesive delivery.
• Translate business requirements into modular, cloud-ready architecture using modern technologies.
• Guide the technical team, fostering best practices in design, documentation, and coding standards.Cloud Infrastructure & DevOps Collaboration
• Work closely with DevOps to design and maintain AWS-based infrastructure including EKS, EC2, VPCs, IAM, ALBs, and CloudWatch.
• Review YAML configurations across GitHub Actions, Helm charts, and Kubernetes manifests to ensure consistent deployment standards.
• Participate in defining and refining CI/CD pipelines for automated build, test, and deployment processes.
• Ensure secure configuration and management of cloud resources using AWS Secrets Manager, Config Maps, and Ingress rules.
• Maintain architectural awareness of Spring Boot, Spring Batch, and JSP-based systems for interoperability and migration planning.
• Promote best practices for containerization and orchestration using Docker and Kubernetes.Authentication, Security &Integrations
• Oversee authentication and authorization solutions with Okta SAML 2.0 and Keycloak.
• Coordinate with integration teams using Boomi or similar middleware platforms to streamline data exchange.
• Ensure compliance with organizational and security standards across all APIs and deployment pipelines.
• Provide architectural direction for secrets management, token-based authentication, and encryption strategies.Project Oversight & Collaboration
• Lead development teams working across frontend, backend, integration, and infrastructure domains.
• Collaborate with product owners, business analysts, and infrastructure teams to align deliverables.
• Participate in sprint planning, architectural reviews, and post-deployment retrospectives to continuously improve processes.
• Identify technical debt and areas for improvement, implementing solutions to enhance code quality and maintainability.
• Stay updated on emerging technologies, industry trends and software development methodologies.Technology Stack Oversight
• Frontend: Supervise development using Angular v17, Angular Material, TypeScript, RxJS, HTML, CSS, and SASS, with support for Micro Frontend architectures.
• Backend: Guide teams implementing NestJS v10, ORM (TypeORM), and REST APIs; ensure consistent standards across services.
• Database: Oversee schema design, optimization, and integration with PostgreSQL and Oracle SQL.
• Testing: Ensure use of Jest for both frontend and backend unit testing to maintain quality and CICD alignment.
• Integration: Dell Boomi, MuleSoft
• Core Docker: Docker Engine, Docker Compose, Dockerfile authoring, Docker Hub, Docker Registry.
• Container Orchestration: Kubernetes, Docker Swarm.
• Gen AI: LLMs
• Languages: Java 17 or above, Python
• AI/ML Concepts: Machine Learning, Natural Language Processing (NLP), Deep Learning.

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