Tech Lead (Java/AWS)
Onsite
Atlanta, GA or Raleigh, NC
Job Summary:
Own and deliver user stories independently-from design and development through testing, deployment, and production support.
Lead, mentor, and manage a team of backend engineers; conduct code reviews and enforce engineering best practices.
Collaborate directly with clients to gather requirements, provide technical estimates, communicate progress, and resolve technical challenges.
Drive architecture and design decisions for scalable, secure, and high-performance backend systems.
Work closely with cross-functional teams including Frontend, DevOps, QA, Product, and Infrastructure.
Ensure adherence to coding standards, CI/CD practices, release management, and delivery timelines.
Deploy applications across lower and production environments while ensuring smooth releases.
Troubleshoot production issues, perform root cause analysis, and implement preventive solutions.
Lead, mentor, and manage a team of backend engineers; conduct code reviews and enforce engineering best practices.
Collaborate directly with clients to gather requirements, provide technical estimates, communicate progress, and resolve technical challenges.
Drive architecture and design decisions for scalable, secure, and high-performance backend systems.
Work closely with cross-functional teams including Frontend, DevOps, QA, Product, and Infrastructure.
Ensure adherence to coding standards, CI/CD practices, release management, and delivery timelines.
Deploy applications across lower and production environments while ensuring smooth releases.
Troubleshoot production issues, perform root cause analysis, and implement preventive solutions.
Required Skills:
Strong hands-on experience with Java 21 and Spring Boot.
Strong experience building Microservices and RESTful APIs.
Experience with messaging platforms such as IBM MQ and/or Apache Kafka.
Hands-on experience with AWS and deploying applications in cloud environments.
Experience with Docker and containerized application development.
Experience with Amazon EKS (Kubernetes), including Deployments, Services, Namespaces, ConfigMaps, Secrets, Ingress, and application deployments.
Good understanding of AWS Route 53 for DNS management, hosted zones, and traffic routing.
Experience with AWS Glue, including Glue Jobs, Crawlers, Data Catalog, and ETL workflows.
Understanding of AWS networking concepts, including IAM, VPC, Security Groups, Load Balancers, and application connectivity.
Experience creating and configuring API proxiesusing tools such as MuleSoft, AWS API Gateway, Apigee, Kong, or similar API gateway/proxy solutions.
Experience with DynamoDB and PostgreSQL.
Familiarity with CI/CD pipelines and application deployment practices.
Experience using Splunk, Dynatrace, and Amazon CloudWatch for monitoring, troubleshooting, and production support.
Strong understanding of distributed systems, system design, scalability, resiliency, and performance optimization.
Proven experience leading engineering teams, mentoring developers, and independently owning technical deliverables.
Strong client-facing communication, stakeholder management, and problem-solving skills.
Years of Experience: 12.00 Years of Experience
Strong experience building Microservices and RESTful APIs.
Experience with messaging platforms such as IBM MQ and/or Apache Kafka.
Hands-on experience with AWS and deploying applications in cloud environments.
Experience with Docker and containerized application development.
Experience with Amazon EKS (Kubernetes), including Deployments, Services, Namespaces, ConfigMaps, Secrets, Ingress, and application deployments.
Good understanding of AWS Route 53 for DNS management, hosted zones, and traffic routing.
Experience with AWS Glue, including Glue Jobs, Crawlers, Data Catalog, and ETL workflows.
Understanding of AWS networking concepts, including IAM, VPC, Security Groups, Load Balancers, and application connectivity.
Experience creating and configuring API proxiesusing tools such as MuleSoft, AWS API Gateway, Apigee, Kong, or similar API gateway/proxy solutions.
Experience with DynamoDB and PostgreSQL.
Familiarity with CI/CD pipelines and application deployment practices.
Experience using Splunk, Dynatrace, and Amazon CloudWatch for monitoring, troubleshooting, and production support.
Strong understanding of distributed systems, system design, scalability, resiliency, and performance optimization.
Proven experience leading engineering teams, mentoring developers, and independently owning technical deliverables.
Strong client-facing communication, stakeholder management, and problem-solving skills.
Years of Experience: 12.00 Years of Experience
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