Top Tech Jobs & Startup Jobs

Build and architect scalable cloud data platforms, pipelines, and applications using Python, Spark, Databricks, SQL, and relational and NoSQL databases. Lead multi-cloud data migration into a centralized data lake, enforce engineering standards, implement security controls, support real-time data workloads, and collaborate with product, engineering, analytics, and data science teams. The role also includes mentoring, stakeholder communication, and delivering data solutions that support personalized travel products.

Leads data science for foundational AI and automation across a global payments network. Partners with data scientists, engineers, ML engineers, and product managers to develop scalable models and AI agents using PyTorch, AWS, vector databases, and LLMs. Serves as an NLP and LLM domain expert, translates technical work into business value, develops talent, and delivers production-scale libraries, platforms, and solutions.

Leads full-stack software engineering teams, technology portfolios, and large-scale cloud-native initiatives. Responsibilities include setting technical strategy, managing engineering talent, driving architectural and roadmap decisions, delivering distributed microservices and full-stack systems, and aligning engineering execution with enterprise goals. The role involves AWS and other cloud technologies, modern programming languages, databases, containers, Agile delivery, AI-enabled development, and regulatory technology solutions.

Manage product strategy for web and mobile device fingerprinting and mobile security within Customer Identity. Partner with engineering, product, business, and lines-of-business teams to standardize digital telemetry signals, create device recognition capabilities, combat fraud, improve customer experiences, and strengthen cybersecurity. Translate complex technical signals into scalable product capabilities and drive adoption across the organization.

Leads and develops full-stack, cloud-based software solutions using distributed systems, microservices, and modern engineering technologies. Provides technical leadership across Agile teams, mentors engineers, defines architecture and service boundaries, improves performance, reduces technical debt, and establishes development standards. Collaborates with product managers and architects to deliver scalable solutions supporting regulatory and customer needs.

Lead strategy, development, and delivery of enterprise B2B data and cloud platforms. Own product and pricing strategy, data modeling/analytics, and cross-functional execution. Build and lead high-performing teams, partner with IT/Sales/Operations/Finance, and drive analytics-based decisions to scale mission-critical products.

Build and operate reliability tooling for payment-critical systems across hybrid on-premises and AWS environments. Develop automation, observability dashboards, alerts, runbooks, remediation scripts, and CI/CD solutions using Python, Java, shell scripting, Kubernetes, and related technologies. Troubleshoot distributed production systems, participate in incident response and on-call rotations, manage secrets and certificates, and improve alert quality, recovery times, and settlement reliability.

Leads software engineering projects and developers building cloud-based, full-stack, distributed microservices and decisioning systems for Capital One’s Card Technology organization. Responsibilities include technical leadership, architecture and service design, mentoring, cloud development, performance optimization, refactoring, regulatory solutions, and establishing engineering standards across Agile teams.

Lead software engineering projects and developers building full-stack, cloud-based solutions and distributed microservices. Design service boundaries, APIs, frameworks, and operational standards while mentoring engineers, reducing technical debt, improving performance, and evaluating emerging technologies. Collaborate with product managers, architects, and Agile teams using modern programming languages, databases, containers, and AWS services to deliver secure solutions supporting regulatory and customer needs.

Design, develop, deploy, and optimize production AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Lead multi-model orchestration and cost-performance optimization across cloud infrastructure. Establish AI engineering standards, guide technical roadmaps, lead design reviews, and mentor senior AI engineers while integrating research advancements into scalable, responsible products.