Java Track Lead – Backend Architecture

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

Role Overview:

The Track Lead serves as the principal architect and technical leader responsible for setting the architectural direction driving technology strategy and managing the delivery of complex backend solutions across multiple engineering teams. This role combines hands-on coding deep architectural expertise and strong leadership to ensure technical excellence and alignment with business objectives.

Key Responsibilities:

Define communicate and drive the overall backend architectural vision and strategy for multiple teams and applications ensuring scalability reliability and maintainability.
Lead the design and review of complex solution architectures making high-level design decisions and ensuring alignment with enterprise standards and best practices.
Actively participate in hands-on coding prototyping and code reviews to set technical standards and mentor engineers.
Manage and coordinate multiple engineering teams providing technical guidance resolving cross-team dependencies and ensuring consistent implementation of architectural patterns.
Collaborate closely with stakeholders product owners and business leaders to gather requirements translate them into technical solutions and ensure alignment with organizational goals.
Evaluate recommend and drive the adoption of new technologies frameworks and tools; lead proof-of-concept (POC) initiatives and technology pilots to validate innovative solutions.
Oversee cloud-native deployments (AWS Azure GCP) containerization and orchestration (Docker Kubernetes) and observability (Prometheus Grafana Dynatrace Splunk) across teams.
Ensure effective implementation of batch/data processing (Apache Spark Spring Batch) data visualization (Tableau Power BI) and integration of AI/ML solutions.
Manage project timelines priorities and resources across multiple teams guiding them toward successful delivery and continuous improvement.
Foster a culture of technical excellence innovation and knowledge sharing through mentoring training and regular architectural forums.
Maintain comprehensive technical documentation and ensure best practices in security performance and compliance are followed.

Required Skills & Qualifications:

15 years of backend engineering experience with deep architectural and hands-on coding expertise in Java Spring Boot microservices REST APIs and distributed/event-driven systems (Apache Kafka).
Proven experience designing and implementing large-scale cloud-native architectures (AWS Azure GCP) containerization (Docker) and orchestration (Kubernetes).
Strong background in observability and monitoring using Prometheus Grafana Dynatrace and Splunk.
Experience with batch/data processing (Apache Spark Spring Batch) and data visualization tools (Tableau Power BI).
Demonstrated ability to lead and manage multiple engineering teams resolve cross-team technical challenges and drive consistent architectural standards.
Strong project management skills: managing timelines priorities and resources and guiding teams to successful outcomes.
Excellent communication stakeholder management and cross-functional collaboration skills.
Experience with AI/ML project integration and AI-assisted development tools is a plus.
Passion for mentoring technical leadership and fostering a high-performance engineering culture.

Role Overview: The Track Lead serves as the principal architect and technical leader responsible for setting the architectural direction driving technology strategy and managing the delivery of complex backend solutions across multiple engineering teams. This role combines hands-on coding deep archi...

Role Overview:

Key Responsibilities:

Define communicate and drive the overall backend architectural vision and strategy for multiple teams and applications ensuring scalability reliability and maintainability.
Lead the design and review of complex solution architectures making high-level design decisions and ensuring alignment with enterprise standards and best practices.
Actively participate in hands-on coding prototyping and code reviews to set technical standards and mentor engineers.
Manage and coordinate multiple engineering teams providing technical guidance resolving cross-team dependencies and ensuring consistent implementation of architectural patterns.
Collaborate closely with stakeholders product owners and business leaders to gather requirements translate them into technical solutions and ensure alignment with organizational goals.
Evaluate recommend and drive the adoption of new technologies frameworks and tools; lead proof-of-concept (POC) initiatives and technology pilots to validate innovative solutions.
Oversee cloud-native deployments (AWS Azure GCP) containerization and orchestration (Docker Kubernetes) and observability (Prometheus Grafana Dynatrace Splunk) across teams.
Ensure effective implementation of batch/data processing (Apache Spark Spring Batch) data visualization (Tableau Power BI) and integration of AI/ML solutions.
Manage project timelines priorities and resources across multiple teams guiding them toward successful delivery and continuous improvement.
Foster a culture of technical excellence innovation and knowledge sharing through mentoring training and regular architectural forums.
Maintain comprehensive technical documentation and ensure best practices in security performance and compliance are followed.

Required Skills & Qualifications:

15 years of backend engineering experience with deep architectural and hands-on coding expertise in Java Spring Boot microservices REST APIs and distributed/event-driven systems (Apache Kafka).
Proven experience designing and implementing large-scale cloud-native architectures (AWS Azure GCP) containerization (Docker) and orchestration (Kubernetes).
Strong background in observability and monitoring using Prometheus Grafana Dynatrace and Splunk.
Experience with batch/data processing (Apache Spark Spring Batch) and data visualization tools (Tableau Power BI).
Demonstrated ability to lead and manage multiple engineering teams resolve cross-team technical challenges and drive consistent architectural standards.
Strong project management skills: managing timelines priorities and resources and guiding teams to successful outcomes.
Excellent communication stakeholder management and cross-functional collaboration skills.
Experience with AI/ML project integration and AI-assisted development tools is a plus.
Passion for mentoring technical leadership and fostering a high-performance engineering culture.