Top Tech Jobs & Startup Jobs

Develops and maintains scalable software within an Agile Scrum team. Responsibilities include building React, middle-tier, backend, API, SQL Server, and Azure features; creating automated tests; conducting peer reviews; implementing security controls; optimizing data queries; troubleshooting production issues; and improving engineering practices. The role requires C# expertise and familiarity with cloud, containers, databases, CI/CD, scripting, and AI-assisted workflows.

Leads software development as both an engineering contributor and performance leader. Develops scalable software, improves architecture, database performance, automated testing, CI/CD pipelines, security, and production reliability. Mentors engineers, promotes Agile and DevOps practices, collaborates across teams and vendors, supports technical backlogs, and serves as a subject matter expert for core systems. The role requires 7–10 years of software development experience and leadership of multi-developer projects.

Analyzes consumer credit data and makes approval or denial decisions within established authority and regulatory requirements. Develops dealer relationships, supports automotive finance contract volume and profitability goals, manages dealer service queues, conducts dealer calls and outbound telemarketing, tracks monthly goals, and ensures complete deal documentation. The role requires automotive finance, underwriting, sales, regulatory, and consumer credit knowledge in a fast-paced hybrid office environment.

Supports global Treasury business systems through requirements analysis, project implementation, testing, configuration, administration, issue resolution, and vendor coordination. The role works across cash flow, borrowings, debt, capital management, securitization, and bank reconciliation systems. It communicates project status, interprets business rules and technical specifications, recommends system solutions, advises project teams, and mentors junior analysts. The position operates in a hybrid environment and requires Treasury or financial services knowledge, SQL, data visualization, and security framework awareness.

Leads the strategy, architecture, development, and production deployment of enterprise Generative AI solutions, including agentic voicebots, multi-agent systems, and RAG architectures. Guides AI engineering teams, establishes technical standards, mentors engineers, and partners with product, architecture, security, legal, and compliance stakeholders. Builds scalable APIs, microservices, deployment pipelines, and responsible AI practices while driving innovation and organizational adoption.

Drives enterprise AI adoption by leading Microsoft 365 Copilot training, workshops, office hours, and business-unit enablement. Helps users build simple agents with Copilot and Copilot Studio while ensuring governance, permissions, and data-handling compliance. Maintains AI resources, tracks adoption metrics, standardizes intake processes, supports responsible AI practices, and automates manual workflows. Requires strong communication, facilitation, problem-solving, relationship-building, and continuous-improvement skills.

Supports privacy and data protection initiatives through privacy impact assessments, personal-data analysis, digital compliance reviews, website and cookie testing, regulatory monitoring, stakeholder collaboration, and privacy awareness materials. The intern works with Legal, Cybersecurity, Digital, privacy engineering, and operations teams while evaluating responsible AI use and supporting organizational compliance.

Leads the development, deployment, and maintenance of predictive, prescriptive, and statistical models across finance, risk, fraud, marketing, and customer experience. Provides technical leadership, mentorship, and training to Data Scientists; applies advanced machine learning and statistical methods; coordinates analytics projects; partners with business leaders; communicates findings to senior stakeholders; and oversees research, model implementation, and MLOps practices.

Leads complex cloud security investigations across Microsoft Azure and Microsoft 365, serving as the senior escalation point for incident response. Develops playbooks, cloud detections, alerts, and repeatable response processes; mentors responders; performs forensic analysis using Microsoft security telemetry; and participates in on-call support. The role also requires stakeholder communication, technical documentation, automation, threat hunting, and continuous improvement of cloud incident response operations.

Leads software engineering teams developing modern applications, platforms, and services. Provides architecture and coding expertise, manages budgets and resources, establishes technical learning plans, removes impediments, and improves delivery through metrics and testing. Partners with business operations, communicates strategies to executives, and oversees platform definition, software architecture, tool selection, automation, and regulatory alignment. The role requires 8–10 years of software development experience and expertise across cloud, integration, DevOps, programming, database, testing, and AI-enabled tools.