Onshore Tech Lead

TalentOla•Charlotte, NC

1d•Onsite

About The Position

Lead the design and development of modern, high-performance web experiences using React and the broader front-end ecosystem. This role is front-end focused, partnering closely with Product, UX, and backend/platform teams to deliver cutting-edge UI capabilities and set engineering standards.

Requirements

Core Java & Spring
Java 21 with modern language features (records, sealed classes, pattern matching)
Spring Boot 3.5.4 and Spring ecosystem (Data JPA, Security, WebClient, AOP, Retry)
Maven for build and dependency management
Strong understanding of transaction boundaries, lazy loading, and persistence context in JPA/Hibernate
RESTful API design with versioning, status codes, and partial-success semantics
SOAP/XML parsing and generation (Interpose passthrough experience a plus)
WebClient for async HTTP integrations with resilience patterns
Experience with circuit breakers, retries, and timeouts (Resilience4j or equivalent)
Understanding of idempotency and request deduplication in distributed systems
Azure SQL and relational schema design
Spring Data JPA / Hibernate with complex mappings, composite keys, and cascading behavior
Ability to reason about query performance, N+1 problems, and connection pooling
Experience with database migrations and schema evolution
Redis and Redisson for distributed caching
Cache invalidation strategies and TTL management
Performance profiling and optimization
Writing unit, service, and integration tests that verify behavior
Test-driven development (TDD) practices
Checkstyle and code quality enforcement
Familiarity with JUnit 5, Mockito, and MockWebServer
Kubernetes / AKS cluster management and deployment strategies
Helm charts design, templating, and values management across environments
Docker containerization, image optimization, and security scanning
CI/CD pipelines (GitLab CI, GitHub Actions, or equivalent)
Infrastructure-as-Code (IaC) principles and tools
Azure services: Key Vault, SQL Database, Container Registry, managed identity
mTLS and certificate-based authentication in Kubernetes
Deployment automation, blue-green deployments, and rollback strategies
Pod security policies, network policies, and RBAC in Kubernetes
Dynatrace for APM, log analysis, and trace investigation
DQL (Dynatrace Query Language) for custom metrics and dashboards
Understanding of SLOs, error rates, and latency analysis
Ability to read and interpret production logs without exposing PII
Health checks, readiness probes, and liveness probes in Kubernetes
Metrics collection and monitoring strategy
Azure services: Key Vault, SQL Database, Container Registry, managed identity
Kubernetes / AKS deployment concepts, scaling, and resource management
Docker containerization and image management
Container registries and image scanning
Network configuration and service mesh concepts (optional but valued)

Nice To Haves

10+ years of backend software engineering in Java/Spring
3+ years of DevOps, SRE, or infrastructure engineering experience
Experience with banking or financial services domain (profiles, accounts, entitlements, audit)
Familiarity with APIGEE API gateway or similar
Hands-on experience with Helm charts in production environments
Experience with Kubernetes in production (AKS, EKS, or GKE)
Knowledge of GitOps practices and tools (ArgoCD, Flux)
Experience with Databricks for audit reporting or analytics
Knowledge of PowerShell for operational scripting
Contributions to open-source projects or published technical writing
Experience with incident response and RCA (root cause analysis) documentation
Familiarity with container security and image scanning tools

Responsibilities

Design & implement REST APIs that maintain backward compatibility while evolving the entitlements domain model
Orchestrate complex business workflows across multiple external systems (APIGEE, Interpose SOAP passthrough, Azure services)
Own integration boundaries with downstream systems, including error handling, retry logic, idempotency, and response translation
Build and maintain data persistence layers using Spring Data JPA / Hibernate against Azure SQL, with careful attention to transaction semantics and audit trails
Implement caching strategies using Redis/Redisson for performance-critical paths
Write production-grade tests that verify behavior, not just coverage—unit, service, and resource-layer tests
Design and maintain Helm charts for Kubernetes deployments across multiple environments
Implement CI/CD pipelines and deployment automation using modern DevOps practices
Manage containerization with Docker, optimize images, and ensure security best practices
Investigate and resolve production incidents using Dynatrace, DQL queries, and log analysis
Document design decisions in architecture records and implementation plans; maintain alignment between code and documentation
Mentor junior engineers on domain knowledge, testing practices, and architectural patterns specific to this system