Top Tech Jobs & Startup Jobs in Charlotte, NC

Designs, builds, secures, and modernizes complex hybrid and cloud infrastructure platforms. Leads cross-functional technical workstreams, establishes engineering standards, develops automation and infrastructure-as-code patterns, and improves resiliency, observability, security, performance, cost efficiency, and operational consistency. The role also guides AI-enabled infrastructure, AIOps, agentic AI capabilities, responsible AI practices, and AI-assisted development across enterprise engineering teams.

The Staff Data Reliability Engineer ensures data integrity, quality, freshness, and availability across enterprise pipelines. Responsibilities include defining data SLOs, implementing observability, building resilient Informatica and Python/PySpark pipelines, automating validation and recovery, eliminating operational toil, leading data incidents and postmortems, creating runbooks, and applying AIOps, machine learning, and DataOps practices to detect anomalies and self-heal data workflows.

Provides executive leadership for enterprise data, semantic, knowledge, analytics, and AI-ready platforms. Leads platform strategy, modernization, cloud adoption, graph and ontology engineering, data integration, third-party data capabilities, reliability, security, governance, and operational excellence. Builds high-performing engineering organizations and partners with technical and business stakeholders to advance semantic platforms, knowledge graphs, business intelligence, AI enablement, GraphRAG, vector search, and trusted enterprise data consumption.

Design and engineer reusable cloud data platform architectures, define technology strategies and roadmaps, guide internal customers, evaluate new technologies, and build hands-on infrastructure for proofs of concept. The role supports AWS and GCP platforms, data integration, analytics, AI, cloud migrations, automation, DevOps, DataOps, and platform adoption. It also provides technical leadership and architectural guidance across organizational boundaries.

Build and own cloud-based data pipelines and governed data products supporting Employee Benefits Sales and Underwriting. Design ELT solutions, integrate complex data, improve data quality, and implement CI/CD and enterprise data engineering practices. Architect hybrid cloud solutions using AWS, Hadoop, Spark, Kafka, Snowflake, and related technologies. Influence architecture and tooling decisions, document technical guidance, mentor teams, evaluate emerging technologies, and contribute to strategic roadmaps.

Leads the technology strategy, modernization, and execution for Employee Benefits and Employer Experience platforms. Oversees cloud-native, API-driven engineering, AI-first development, DevSecOps, application modernization, and enterprise technology roadmaps. Builds high-performing global engineering teams, drives organizational transformation, manages vendors, aligns technology with business priorities, and promotes engineering excellence, responsible AI adoption, productivity, resilience, and continuous improvement.

Leads product management for Commercial Auto, Business-Owners, and Workers Compensation products across an assigned territory. Owns profit, growth, market share, pricing, underwriting, and performance objectives. Develops local market strategies, analyzes competitive and customer trends, builds financial business cases, and leads product initiatives. Partners with Sales, Underwriting, Actuarial, Claims, Legal, Compliance, agencies, regulators, and leadership to influence decisions, execute change, and deliver profitable growth. Mentors team members and travels up to 10%.

Analyzes personal insurance product performance across multiple states, develops recommendations affecting growth and profitability, supports rate revisions and regulatory compliance, and advances strategic initiatives. Collaborates with product managers and teams including pricing, underwriting, claims, service, and performance analytics. Presents findings and recommendations while managing multiple priorities in a hybrid or remote environment.

Design, build, and modernize Guidewire ClaimCenter solutions, Java APIs, and cloud-native AWS services for claims operations. Own end-to-end delivery, including testing, CI/CD, observability, releases, and production support. Partner with business and operations teams to identify automation opportunities, prototype solutions, and productionize successful capabilities. Lead incident resolution, mentor engineers, develop implementation playbooks, and build Google ADK agents for document understanding, claims decision support, and workflow orchestration.

Designs target-state architectures that modernize legacy Employee Benefits platforms and accelerate cloud adoption. Develops end-to-end solutions spanning APIs, microservices, micro-frontends, AI, data, identity, security, and cloud infrastructure. Evaluates technology options, establishes architecture governance, supports roadmaps, and ensures reliability, operability, cost efficiency, and security. Partners with senior leaders, value streams, and engineering teams to deliver cloud-native, AI-ready platforms.