Top Tech Jobs & Startup Jobs

Conduct manual and automated application- and network-layer penetration tests across cloud infrastructure and applications. Identify, risk-rate, document, and validate vulnerabilities; assess cardholder data environment segmentation; triage bug bounty findings; verify remediation; collaborate with security vendors; and ensure compliance with PCI DSS and SOC requirements. Communicate technical findings and remediation guidance to engineering, product, and non-technical stakeholders.

Build and maintain Target’s scalable, multi-tenant Marketing Ad Planning platform. Develop backend services and APIs for campaign data management, validation, lifecycle operations, and enterprise integrations. Work with distributed systems, microservices, event-driven architectures, and databases while improving reliability, performance, and scalability. Participate in technical design, code reviews, troubleshooting, and engineering ceremonies, delivering reliable, maintainable, and well-tested software.

Lead product design for Target’s guest-facing Homepage and Category experiences across web and apps. Set strategy for dynamic, personalized content, establish AI design governance, and align solutions with user, business, and technical needs. Facilitate cross-functional teams, conduct research, use data and experimentation, create UX deliverables, mentor designers, and promote accessibility, systems thinking, and human-centered design.

Build reusable platform capabilities for AI applications and agents, including agent harnesses, context engineering, graph-based retrieval, statistical models, and simulation. Design scalable APIs and services, develop production-grade frameworks, ensure engineering quality through testing and documentation, and mentor engineers.

Owns end-to-end U.S. payroll operations across tax, banking, garnishments, processing, or final pay. Ensures accurate and timely pay delivery, compliance, audit readiness, issue resolution, reconciliations, and SLA performance. Leads root-cause analysis, corrective actions, process improvements, reporting, governance, training, and coaching while partnering with Finance, HR, headquarters teams, and vendors.

Designs, develops, and approves scalable backend functionality using Java and Kotlin. The role involves architecture, software design, performance optimization, operational troubleshooting, distributed systems, microservices, database integration, and collaboration with engineers and stakeholders. The Senior Engineer also influences technical standards, reviews implementations, integrates third-party frameworks, and delivers secure, high-throughput, low-latency systems.

Designs and builds scalable payment data services, APIs, data pipelines, and distributed systems using Java/Kotlin, Kafka, databases, and ETL. Leads architecture, code and design reviews, testing, debugging, disaster recovery, data quality, and technology evaluations. Collaborates with payment engineering, product, and business teams to deliver secure, high-throughput solutions. Coaches engineers and explores AI technologies including LLMs, agentic AI, and MCP.

Build and maintain scalable batch and real-time data pipelines and services for finance systems. Develop ETL workflows, data models, APIs, and distributed processing solutions using Spark, cloud platforms, and SQL. Ensure data governance, security, and quality while collaborating with engineers, product teams, and business stakeholders to troubleshoot, optimize, and improve system reliability.

Leads discovery, strategy, validation, and MVP development for emerging advertising supply and experiences across Target-owned digital and physical properties. Defines value propositions, business cases, roadmaps, metrics, and OKRs; prioritizes product backlogs; and coordinates product, engineering, design, analytics, operations, and go-to-market teams. Identifies monetization opportunities, validates concepts, and transitions successful capabilities into long-term product portfolios.

Designs, builds, and productionizes AI-powered applications using LLMs, agentic architectures, retrieval, model APIs, and enterprise platform services. Partners with product and engineering teams across the full lifecycle, from prototyping through deployment and operations. Develops reusable APIs, SDKs, frameworks, and reference architectures; evaluates emerging AI technologies; resolves complex production issues; and mentors engineers while improving scalability, reliability, security, and the AI developer experience.