Top Tech Jobs & Startup Jobs

Develops and sustains efficient manufacturing processes for durable safety equipment. Responsibilities include PFMEA, process validation, capability studies, line balancing, lean manufacturing, root cause analysis, tooling and machine design, NPI readiness, production documentation, ERP routing, and continuous improvement. The role supports production teams, leads process qualification and training, manages tooling projects, and serves as the technical liaison between R&D and manufacturing.

Supports the Finance Department by processing and recording daily accounting transactions, including general ledger, accounts payable, and accounts receivable activity. Prepares deposits and journal entries, processes reimbursements, performs reconciliations, assists with month-end close and chart-of-accounts maintenance, maintains financial records, responds to payment inquiries, records donations, and supports annual audits.

General career-fair application for candidates interested in future engineering, technical, or operational opportunities at AeroSpec. The company designs and manufactures custom industrial automation machinery using mechanical design, controls engineering, CNC machining, robotics, machine vision, laser integration, motion control, and metrology. Candidates should demonstrate curiosity, problem-solving ability, collaboration, communication, adaptability, and enthusiasm for complex technical challenges.

Build and manage client and distributor relationships, grow accounts, achieve sales goals, develop new business, resolve client issues, track sales performance, and represent cannabis brands at events. The role requires statewide travel, strong communication, adaptability, multitasking, sound judgment, enthusiasm for the cannabis industry, and a commitment to inclusive teamwork.

The DevOps Engineer will lead multiple client projects, design and support applications, and mentor other engineers, utilizing modern development practices and technologies.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Monitors product and operational performance, identifies customer and process issues, and partners with Product, Engineering, Customer Service, Risk, and Compliance teams on improvements. Implements AI and automation tools, investigates behavioral patterns, manages operational partners, improves escalations and resolution efficiency, and supports banking, telecom, remittance, onboarding, and retention initiatives.

Leads and monitors a team selling new and used vehicles, develops sales strategies, drives revenue growth, oversees the customer sales process, and evaluates team performance. The role requires strong customer service, automotive industry passion, and Desk Manager experience while guiding negotiations, financing discussions, product knowledge, and customer relationship development.

Leads the college’s quality improvement and assurance framework across all funding streams. The role oversees inspection readiness, quality cycles, strategic performance indicators, learner and apprenticeship outcomes, and continuous improvement. It collaborates with curriculum management teams, coaches and develops staff, and promotes high-quality teaching, learning, and assessment. As a member of the Corporate Leadership Group, the Director provides strategic leadership to improve educational provision and performance.

Develop LLM-powered automation and agent tooling for legacy code analysis and modernization. Build cloud-native migration services, scalable Spark and Databricks data platforms, ETL frameworks, data models, validation controls, and Airflow-orchestrated workflows. Reverse-engineer mainframe and database workloads, transform legacy logic into microservices, optimize MongoDB schemas, and implement near-real-time data synchronization. Requires extensive data engineering, cloud, Python, and AI framework experience.