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E

Lead Specialist

Experian

. Serve as the squad’s technical reference and the point person for demand flow, conducting technical triage, unblocking the team, and defining standards and quality criteria .

Posted 9/28/2026full-timeRemote • California • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Software Architecture with a strong focus on Java 17+ and the Spring Framework, alongside proficiency in microservices, cloud architecture, and AI integration. Capable of leading technical discussions, ensuring quality and maintainability, and fostering team autonomy through effective documentation and decision-making.

Highest-signal resume keywords
Java 17+ ProficiencySpring Framework ExpertiseMicroservices Architecture ExperienceCloud Architecture (AWS) ExperienceAgile Methodologies Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software ArchitectureBackend DevelopmentFrontend DevelopmentData Software DevelopmentREST APIsRelational Databases (SQL Server, Oracle, PostgreSQL, MySQL)Non-Relational Databases (MongoDB)DockerKubernetesJUnit and Mockito
Soft Skills
Decision-Making Under UncertaintyMentoringConflict ResolutionTeam Autonomy FacilitationTechnical Triage
Tools & Technologies
GitJenkinsCI/CD PipelinesGrafanaKibanaDatadog
Industry Keywords
AI AdoptionTechnical ConsistencyService ObservabilityClean ArchitectureDomain-Driven Design

Tech Stack

Tools & technologies
AWSCloudDockerGrafanaJavaJenkinsJUnitKubernetesMockitoMongoDBMySQLOraclePostgresSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact
  • Serve as the squad’s technical reference and the point person for demand flow, conducting technical triage, unblocking the team, and defining standards and quality criteria
  • Ensure technical consistency, quality, security, and maintainability across deliverables
  • Foster the team’s technical autonomy through documentation, delegation, and decision-making criteria
  • Ensure local decisions align with the architecture and platform
  • Provide the Tech Manager and PM with early visibility into technical risks and options
  • Lead AI adoption within the squad by applying AI-assisted engineering techniques and enabling the team
  • Drive service observability and monitoring, ensuring actionable logs, metrics, traces, and alerts
  • Lead technical discussions, guide implementations, and raise engineering standards
  • Review pull requests with a focus on risk, quality, and maintainability
  • Identify technical gaps and lead improvement plans through mentoring, pairing, and ongoing learning practices
  • Lead postmortems and preventive action plans
  • Connect technical needs with Product, Infrastructure, SRE, Data, and Architecture teams
  • Align risks, technical priorities, and team development with the Tech Manager and PM
  • Discuss decisions with system-wide impact with the Architecture team
  • Maintain consistency of standards, integration, and reuse with other Tech Leads
  • Participate in ceremonies, support decision-making, and resolve conflicts
  • Reduce deployment incidents, rework, rollbacks, and escaped bugs
  • Improve technical health, observability, adherence to platform standards, and AI-enabled productivity

Requirements

What you’ll need
  • At least 5 years of experience in Software Architecture, with experience in backend, frontend, or data software development
  • Proficiency in Java 17+ with the Spring Framework (Spring Boot, Spring Data, Spring Batch)
  • Experience with microservices architecture and REST APIs
  • Knowledge of GenAI applied to products
  • Experience with Git
  • Knowledge of relational databases: SQL Server, Oracle, PostgreSQL, and MySQL
  • Knowledge of non-relational databases: MongoDB
  • Strong experience with Agile methodologies and technical refinement
  • Experience with cloud architecture, preferably AWS, including queues and storage
  • Experience with Docker and Kubernetes
  • Experience with JUnit and Mockito
  • Experience with Jenkins and CI/CD pipelines
  • Experience with Grafana, Kibana, and Datadog
  • Daily use of AI assistants, skills, and agents applied to coding, testing, and documentation
  • Ability to disseminate AI practices across the team
  • Ability to make decisions under uncertainty, articulate trade-offs, and take ownership of the outcomes of technical decisions
  • Experience with Clean Architecture is a plus
  • Experience with Domain-Driven Design and building reusable components is a plus
  • Advanced English proficiency is a plus

Benefits

Comp & perks
  • Remote work
  • An inclusive, purpose-driven environment
  • Balance between career and personal commitments and interests
  • Strong focus on well-being
  • Outstanding opportunities and career paths
  • Certifications and external recognition, including Great Place To Work™ and Top Employers