Onshore Tech Lead

Job Title: Onshore Tech Lead

Duration : Fulltime

Location : Charlotte, NC & Memphis,TN (Onsite)

Role summary : 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.

Key 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

Required Technical Skills

• 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

API & Integration Design

• RESTful API design with versioning, status codes, and partial-success semantics

• SOAP/XML parsing and generation (Interpose passthrough experience a plus)

• WebClient for async integrations with resilience patterns

• Experience with circuit breakers, retries, and timeouts (Resilience4j or equivalent)

• Understanding of idempotency and request deduplication in distributed systems

Data & Persistence

• 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

Caching & Performance

Redis and Redisson for distributed caching

Cache invalidation strategies and TTL management

Performance profiling and optimization

Testing & Quality

• 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

DevOps & Infrastructure

• 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

Observability & Operations

• 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

Cloud & Infrastructure

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)

Preferred Qualifications

• 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