Top Tech Jobs & Startup Jobs

Hands-on cybersecurity engineer partnering with product engineering teams to secure embedded vehicle software, mobile applications, and backend services. Responsibilities include building secure engineering capabilities, implementing SAST, DAST, fuzzing, runtime security, and OS hardening, conducting code reviews, authoring security guidance, and mentoring engineers. The role requires technical leadership, secure SDLC expertise, programming ability, and practical application security experience.

Leads supply chain activities supporting business objectives, including supplier and logistics-provider relationships, capacity constraints, production-impact assessments, and critical issue resolution. Analyzes supplier schedules and metrics, develops cross-functional solutions, prevents plant disruptions, reduces premium transportation, and communicates risks and resolutions to leadership. Requires domestic and international travel, Spanish communication skills, and flexibility for extended or non-core hours.

Manages warranty process support across dealerships in the Phoenix territory. Advises dealer leadership, reviews warranty data and job cards, evaluates service processes, resolves warranty escalations up to $50,000, delivers training, supports recalls and field actions, and develops improvement plans. The role partners with regional and corporate teams to improve warranty administration, compliance, consistency, and dealership performance, while traveling up to 75% and presenting recommendations to senior leadership.

Leads a North America-based team of Customer Success Managers and Architects. Responsibilities include coaching and developing talent, managing staffing and hiring, strengthening executive customer relationships, supporting adoption and renewals, coordinating escalations, partnering cross-functionally, and improving customer success processes and tools.

Leads a regional team of product subject matter experts supporting complex enterprise opportunities across security, compliance, platform, DevSecOps, AI, and competitive products. Responsibilities include hiring and coaching specialists, managing engagement coverage, partnering with sales leadership on deal strategy and forecasts, serving as an executive technical sponsor, improving technical win rates and consumption, maintaining Salesforce data, and sharing customer insights with Product and Engineering.

Partners with senior Engineering leaders to shape people strategy, organization design, job architecture, talent processes, leadership effectiveness, and culture. Advises on global teams, change management, calibrations, career paths, and organizational transformations. Uses data and feedback to improve engagement and performance, collaborates with People and Talent teams, and supports Engineering offsites and leadership forums across globally distributed teams.

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.

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.

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 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.

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.

Evaluates customer care calls and emails against QA standards, scores interactions, provides coaching, identifies process gaps, resolves escalated concerns, and recommends workflow improvements. The role partners with Customer Care leadership and Learning and Development to improve representative performance, customer satisfaction, engagement, and overall service quality. It is full-time onsite in Santa Ana, California.

Own corporate FP&A planning and reporting processes, including annual and long-range planning, forecasting, budgeting, close support, variance analysis, headcount planning, and executive and board reporting. Administer and improve Workday Adaptive Planning, strengthen financial systems and processes, and partner with business leaders, Accounting, HR, and Talent Acquisition. The role also provides analysis for strategic decisions and directs shared deliverables with a senior financial analyst.

The Security Operations Engineer will build and manage cloud and enterprise security detections, lead incident response and threat hunting, automate security operations with SOAR playbooks, and maintain security telemetry pipelines. The role also involves vulnerability remediation, cloud architecture security reviews, cross-functional collaboration, on-call participation, and continuous improvement of runbooks and alert quality. Candidates need strong AWS security, SIEM, incident response, detection engineering, scripting, attacker tradecraft, and compliance framework experience.