L2 Support Java
Valce Talent Solutions Mexico
IT Services and IT Consulting · 11-50 employees
About the role
Architect and lead the decomposition and migration of payment systems into Spring Boot microservices on AWS, improving throughput, uptime, resilience, and recovery. Build and lead release engineering capabilities, develop CI/CD frameworks and automation tools, and coordinate delivery strategy with engineering, architecture, product, cloud, and security teams.
What they look for
Requirements
The posting indicates senior-level Java software engineering and technical leadership experience, including designing microservices and operating systems on AWS. It also calls for experience with CI/CD and build-and-release automation, cross-functional collaboration, and advanced English; no education requirement is stated.
Full description
Technical Lead Software Engineering
(Remote Mexico)
Architected and led the decomposition of the external payments system to Spring Boot 3 microservices on AWS ECS, which increased transaction
processing throughput by 30% and improved system uptime to 99.95%. Adding caching and replication through ElastiCache Redis and AWS RDS.
Engineered the migration strategy by analyzing technical and business trade-offs, enabling communication with the Cloud and SecOps teams,
which successfully de-risked the project and led to a phased rollout with minimal critical incidents post-launch.
Accelerated the development lifecycle for new microservices by 20% by engineering reusable service templates and a standardized CI/CD pipeline,
reducing the average microservices setup time from days to hours.
Enhanced system resilience and observability by integrating Spring Cloud, Resilience4j, and AWS ElastiCache, cutting the rate of failure-related
incidents by 15% and improving time to recovery.
Lead Java Software Engineer
California (Remote Mexico)
Pioneered the company's first Build & Release engineering team, growing it from the ground up to 7 Engineers. This team became the center of
automation, directly supporting over 90 developers across 12 development teams.
Accelerated software delivery by architecting and implementing a scalable CI/CD framework using Groovy, AWS CloudFormation, Python, and
Jenkins Pipeline Libraries, which reduced average deployment times by over 30% and increased deployment frequency by 20%.
Engineered and delivered a Node.js automation tool integrating with the Jira API to streamline the Change Management (CM) process, cutting
process time by 30% and eliminating ~95% of manual data entry errors.
Constantly collaborated with development teams, architects, and product managers to identify and plan the strategic and tactical operation of our
Build & Release team.
REMOTE
ADVANCED ENGLISH
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