Top Tech Jobs & Startup Jobs

Design, develop, and maintain high-performance Go-based software for global VOD, live, and linear streaming delivery. Build reliable services for dynamic ad insertion and manifest manipulation, partner with SRE on highly available multi-region systems, use observability and analytics for performance and incident analysis, and contribute to multi-CDN strategies, architecture, code reviews, and engineering standards.

Design, develop, and optimize agentic, LLM-powered applications and autonomous systems. Build scalable data services, backend APIs, microservices, workflow orchestration, integrations, and cloud-native deployments using Python and AWS. Implement observability, monitoring, and operational tooling while evaluating emerging technologies. Collaborate across teams, participate in Agile ceremonies, conduct peer reviews, and establish engineering best practices.

Own the roadmap and evolution of an enterprise AI platform supporting agentic workflows. Translate customer and stakeholder needs into product capabilities, requirements, and user stories; partner with engineering, design, and program teams to deliver secure, extensible technical products. Responsibilities include applying AI advances, testing product quality and performance, debugging workflows, conducting demos, and presenting product strategy to executives.

Supports financial planning, reporting, business health assessments, budgeting, forecasting, and long-range planning. Analyzes raw data, identifies key business insights, develops reporting tools, prepares executive presentations, and completes special projects. The internship provides hands-on finance experience, mentorship, exposure to business performance, and opportunities to develop financial modeling and analytical skills.

Manages strategic advertising accounts through pre-sale support, campaign activation, post-sale communication, reporting, and performance monitoring. Coordinates clients, account executives, ad operations, and fulfillment teams to ensure timely campaign launches. Provides insights and recommendations, supports retention and upselling, manages campaign timelines and assets, and oversees accounts generating up to $5 million in revenue.

Processes, codes, audits, and indexes invoices for fleet services. Contacts service providers about discrepancies, verifies customer approval limits, completes billing workflows, processes rebills, handles purchase order inquiries, and performs VMRS coding and invoice costing accurately in a high-volume environment.

Leads architecture, implementation, and delivery of an edge application platform for autonomous defense systems. Responsibilities include GCS and C2 applications, BMS interoperability, extensible APIs and SDKs, fleet and configuration management, agentic operator workflows, and reliable operation in degraded environments. The role coordinates engineering, product, customers, integration, and field teams while owning technical roadmaps, deployments, sustainment, and architectural decisions.

Lead architecture, requirements, behavior modeling, safety analysis, CONOPs, integration, and testing for a launch and recovery vehicle supporting autonomous UAS operations. Integrate avionics, hydraulics, power, navigation, mechanical, electrical, and data interfaces while coordinating cross-functional teams, DoD stakeholders, and industry partners. Define transport, deployment, field operations, and sustainment concepts for a mission-ready system.

Lead avionics architecture, requirements, system behavior, safety, interface management, navigation, communications, and hardware/software integration for autonomous UAS platforms. Define MBSE models, conduct trade studies, integrate avionics data buses and sensor systems, support flight testing and validation, and ensure compliance with military and aviation standards. Collaborate with autonomy, software, hardware, manufacturing, flight operations, suppliers, and DoD stakeholders from clean-sheet development through first flight and deployment.

Manage multiple large-scale data center deployment projects from design and construction through commissioning and operational handover. Lead stakeholders, vendors, contractors, budgets, schedules, resources, risk mitigation, quality assurance, documentation, and technical coordination across power, cooling, networking, hardware, and physical security. Travel to data center sites up to 60% to monitor progress and resolve issues. Experience with HPC, AI infrastructure, liquid cooling, and redundancy protocols is preferred.

Leads CoreWeave’s multidisciplinary data center engineering organization and sets technical direction for its global portfolio. Governs Basis of Design documents, reference designs, standards, and long-term infrastructure roadmaps. Oversees integrated engineering across electrical, mechanical, civil, structural, architectural, controls, and life-safety disciplines; leads technical reviews, innovation, reliability, sustainability, supplier engagement, and resource planning. Partners with design, construction, commissioning, operations, technology, and supply chain teams to deliver scalable, high-density AI infrastructure.

Owns technical documentation, onboarding curricula, information architecture, and content lifecycle for Fleet Reliability Operations. The role writes runbooks, workflows, escalation guides, and systems documentation; audits and improves Confluence content; interviews subject matter experts; manages documentation requests; defines standards; and measures onboarding effectiveness for operations engineers across regions.

Design, build, optimize, and maintain scalable real-time and batch data pipelines, microservices, and cloud-based ingestion systems. Develop AWS-based data workflows, integrate APIs and databases, implement automated testing and validation, and monitor distributed systems for reliability and data quality. Translate business requirements into scalable system designs while supporting CI Autonomy and collaborating in an agile environment.

Provide production support and platform stability for Caterpillar’s AWS-based autonomy platform. Manage incidents from triage through resolution, coordinate technical fixes across engineering and support teams, conduct root cause analysis, maintain operational runbooks, monitor cloud services, and improve reliability and operational readiness. The role also supports automation, API troubleshooting, CI/CD issue tracing, knowledge transfer, and stakeholder communication.

Leads advanced data science initiatives for Caterpillar’s Service Events domain. Develops and productionizes machine learning and statistical models using large-scale structured and unstructured data, including NLP and predictive analytics. Directs data acquisition, transformation, modeling, and optimization efforts; defines analytical problems and success criteria with stakeholders; communicates findings through visualization and storytelling; and provides technical leadership, coaching, and mentoring across cross-functional teams.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

Leads Veza’s NHI and Agent Security engineering team, setting technical vision, architecture, roadmap, and execution standards for identity and agent security products. Manages backend engineers and tech leads, drives hiring and development, partners cross-functionally with Product and ServiceNow teams, and ensures scalable, reliable, observable enterprise systems. The role focuses on agent discovery, action auditing, runtime authorization, least-privilege access, IAM, distributed systems, and AI-enabled product capabilities.

Lead architecture and development for Veza’s scalable Access Graph data platform. Design distributed systems, graph data models, APIs, and backend services while solving complex infrastructure problems involving performance, correctness, security, and rollback safety. Set technical direction, roadmap priorities, engineering standards, and best practices across teams. Mentor engineers, coordinate with cross-functional stakeholders, drive design reviews, and deliver high-impact technical contributions using Go and cloud-native technologies.

Own the end-to-end architecture and technical evolution of the Veza identity security platform. Lead graph-native data architecture, AI agent security, integrations modernization, ServiceNow integration, multi-region deployment, architecture governance, engineering excellence, and executive communication. Mentor senior technical leaders while driving large-scale migrations, security compliance, operational reliability, and production AI capabilities across globally distributed teams.

Leads AI-enabled risk modeling services, setting strategy, managing client relationships, overseeing machine learning and predictive analytics solutions, and guiding end-to-end delivery. The role includes model governance, feature engineering, performance evaluation, innovation, cross-functional collaboration, team coaching, thought leadership, and business development across risk modeling engagements.

Analyze complex client problems using statistical modeling, exploratory analysis, data visualization, and machine learning. Develop AI and GenAI solutions, data workflows, pipelines, models, and quality checks that generate actionable business insights. Communate recommendations through documentation and visual storytelling, manage workstreams, collaborate with clients, and mentor junior team members.

Leads complex external financial statement audits, directing planning, execution, review, and deliverables across client engagements. Assesses financial reporting processes, internal controls, governance, risks, disclosures, and supporting documentation. Communicates findings to client and internal leadership, validates audit conclusions against professional standards, develops audit strategies, and coaches team members through procedures and issue resolution.

Leads the vision, strategy, and roadmap for AI-powered Brand Expedia experiences across trip inspiration, planning, booking, and travel. Owns experimentation, business outcomes, responsible AI standards, model evaluation, platform partnerships, and third-party AI integrations. Collaborates with engineering, science, design, marketing, and brand teams while coaching product managers and shaping scalable consumer experiences across Expedia’s portfolio.

Leads enterprise-scale AI, technology, and organizational transformation portfolios from strategy through sustained adoption and value realization. Aligns senior stakeholders, establishes governance and operating models, manages dependencies, builds measurement frameworks, drives culture and behavior change, scales transformation playbooks, and coaches leaders. Requires strong executive communication, technical fluency across systems, APIs, data, platforms, reliability, and operational resilience, plus experience applying analytics and AI-enabled tools to improve execution.

Leads integrated marketing strategy and cross-functional brand campaign execution for Hotels.com. Develops go-to-market plans, creative briefs, channel strategies, and KPIs; oversees creative and media assets; collaborates with product, media, PR, regional, and agency teams; guides contributors; and uses analytics to optimize campaigns and drive business value.

Supports second-line market risk coverage for Home Lending residential loan desks and related hedges. Monitors risk measures, trading activity, limits, stress results, and portfolio sensitivities across mortgage and structured products. Prepares management reporting, investigates concentrations and emerging risks, supports scenario analysis and new product reviews, and collaborates with control, technology, and operations teams to resolve data and reporting issues. Helps improve risk analytics, automation, documentation, and data quality controls.

Lead end-to-end implementation and ownership of FRTB capital (IMA and SA), develop regulator-ready market risk capital analytics, run scenario analyses, manage controls/governance, translate regulation into solutions, and advance AI/LLM and data strategies to improve analytics and reporting.

Analyze and monitor liquidity risks within corporate treasury, including intraday liquidity, funding markets, risk limits, emerging risks, and breach drivers. The role involves dashboard oversight, large-scale data analysis, stakeholder collaboration, escalation of concerns, senior management reporting, and process improvement. Candidates should understand liquidity risk, bank treasury funding, intraday liquidity management, or macroeconomics, with strong analytical, communication, and problem-solving skills.