Top Tech Jobs & Startup Jobs

Leads DevOps engineering projects and developers building secure, cloud-based solutions. Responsibilities include mentoring engineers, collaborating with product managers and application teams, applying CDN security controls such as WAF, bot mitigation, and DDoS protection, and using Python, Git, and GitHub. The role requires expertise in cloud-native platforms, Unix/Linux administration, web protocols, Akamai, cybersecurity controls, and Agile delivery.

Conduct applied research and develop AI foundation models, including large language models and agentic AI systems. Responsibilities span model design, training, evaluation, validation, optimization, deployment, and scaling. The researcher collaborates with data scientists, engineers, and product managers to translate advanced AI research into customer-facing products, deliver platform and solution code, evaluate emerging methods, and independently pursue impactful research agendas.

Leads customer data product strategy to improve segmentation, personalization, customer value, marketing, servicing, and credit performance. Develops metrics, models, business requirements, product and pricing strategies, and go-to-market initiatives. Oversees concurrent projects, partners cross-functionally, and may manage analysts. Requires strong quantitative and qualitative analysis, executive communication, people leadership, product development, financial modeling, and strategic decision-making.

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build cloud-based solutions using multiple programming languages, databases, container orchestration platforms, and cloud services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, support regulatory needs, and promote Agile engineering practices and developer productivity.

Lead a team of developers to deliver cloud-based solutions while mentoring and collaborating with product managers to meet regulatory needs.

Own the Payments organization’s AI strategy and product portfolio. Define AI investment and build-buy-partner roadmaps, deliver operational and customer outcomes, establish shared AI capabilities, ensure responsible AI practices, and increase organizational AI fluency. This hands-on player-coach role leads a lean team and collaborates with product and engineering teams to deliver AI solutions into production.

Provides legal expertise and advice on the Truth in Lending Act and Regulation Z for credit card, auto lending, and personal loan businesses. Interprets regulations, assesses legal risk, supports business initiatives, and collaborates with legal, compliance, risk, business, and technology teams. Requires clear communication, sound judgment, regulatory awareness, and the ability to explain complex legal concepts to non-experts.

Lead Global Enterprise Communications strategy and execution as a strategic counselor to senior leaders. Oversee integrated internal and external campaigns, leverage data and digital channels to measure narrative impact, manage and develop a communications team, and partner across functions in a complex, regulated environment to protect and advance corporate reputation.

Provides enterprise-wide technical leadership in data engineering and architecture. The role drives adoption of modern technologies, establishes engineering practices, advises on technology platforms and capabilities, influences stakeholders, mentors engineers, recruits talent, and develops next-generation technology roadmaps. Responsibilities include data engineering, AWS application development, data modeling, big data processing, ontology standards, and machine learning model deployment.

Leads software engineering projects and developers building full-stack, distributed microservices and cloud-based solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers systems supporting regulatory and customer needs. Uses JavaScript, Java, TypeScript, SQL, Python, Go, AWS services, Docker, Kubernetes, relational databases, and NoSQL technologies.