Cutting-Edge Technology Jobs in Remote

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Looking for Cutting-Edge Technology jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technology position in the Remote area.

Lead Data Engineer (AWS, Azure, GCP)

Company: CapTech

Location: Columbus, OH / Remote

Posted Jan 24, 2025

Mainframe z/OS System Administration

Company: Kyndryl

Location: Gurgaon, India / Remote

Posted Jan 24, 2025

Kyndryl is a company that designs, builds, manages, and modernizes mission-critical technology systems. They are committed to creating a more equitable, inclusive world. The Infrastructure Specialist role involves contributing to current projects, analyzing problems, offering solutions, and long-range strategic planning of IT infrastructure. This role requires 5+ years of experience in z/OS System Administration and hands-on expertise in various z/OS components. Kyndryl offers opportunities for growth, continuous learning, and a supportive work environment.

Senior Manager, Network Products

Company: DigitalOcean

Location: Gunnison, CO / Remote

Posted Jan 24, 2025

DigitalOcean is revolutionizing cloud computing by simplifying it and serving the developer community. The role involves managing a world-class engineering team, planning and executing complex technical projects, and collaborating with product and engineering teams. The ideal candidate should have direct experience in managing software engineers, domain expertise in networking, and a proven track record in managing projects throughout the SDLC. DigitalOcean values career development, well-being, and diversity, offering competitive benefits, growth opportunities, and equity compensation.

SIU Investigator (Healthcare)

Company: Oscar Health

Location: New York, NY / Remote

Posted Jan 24, 2025

Oscar, a health insurance company founded in 2012, is seeking a Senior Analyst, Special Investigations Unit Investigator (Healthcare). The role involves detecting, investigating, and resolving aberrant behavior in claims and enrollment data, with a focus on Fraud Waste and Abuse (FWA) recoupments and savings. The successful candidate will analyze data, manage investigative caseloads, and report to the Associate Director, SIU. The position offers competitive pay, employee benefits, and unlimited vacation. Qualifications include 3+ years of insurance claims investigation experience, knowledge of fraud statutes, and regulations. Bonus points for a degree in Criminal Justice, health insurance experience, and relevant certifications.

Machine Learning Product Manager, Shopping (Remote-Eligible)

Company: Capital One

Location: San Francisco, CA / Remote

Posted Jan 24, 2025

Capital One Shopping is seeking a Product Manager with a strong background in data-driven product development. The ideal candidate will have experience in using SQL for data analysis, a customer-centric mindset, and the ability to lead teams in designing and delivering data platform features. The role involves understanding enterprise data requirements, prioritizing stakeholder needs, and creating a product vision. Basic qualifications include a Bachelor's Degree, at least 3 years of digital product management experience, and proficiency in SQL. Preferred qualifications include a degree in Computer Science or Engineering, an MBA, and experience with A/B testing and understanding technical aspects of web and mobile platforms.

Technical Support Engineer I (Contractor)

Company: Nylas

Location: Remote

Posted Jan 24, 2025

Nylas, a company specializing in APIs for email, calendar, and contact management features, is seeking a Technical Support Engineer I (Contractor). The role involves troubleshooting technical issues, collaborating with engineering, creating customer-facing documentation, and partnering with go-to-market teams. The ideal candidate should have 1-3 years of technical support experience, proficiency in at least one programming language, strong problem-solving skills, customer empathy, excellent communication abilities, adaptability, and a detail-oriented approach. The interview process includes three rounds: a 60-minute Google Meet with the Hiring Manager, a take-home assignment followed by a 60-minute meeting with a team member, and another 60-minute Google Meet with another team member.

Data Architect (AWS, Azure, GCP)

Company: CapTech

Location: Philadelphia, PA / Remote

Posted Jan 24, 2025

Senior C++ Software Engineer

Company: Here Technologies

Location: Krakow, Poland / Remote

Posted Jan 24, 2025

HERE Technologies is seeking a Senior Software Engineer (C++) to join their international team in developing a next-generation, highly customizable embedded navigation product. The role involves participating in the full engineering lifecycle, working on challenging problems, and collaborating with highly technical colleagues. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, relevant C++ software engineering experience, and solid knowledge of algorithms and data structures. The company offers a great work-life balance, challenging problems, collaborative colleagues, regular feedbacks, flexible working hours, and a competitive salary.

US Projects Cluster Leader

Company: GE Vernova

Location: Remote

Posted Jan 24, 2025

GE Vernova, a division of General Electric, is seeking a US Cluster Project Director for its Hydro Power North America division. The role involves managing a portfolio of GE Hydro Power projects in the Western United States, with the aim of delivering on organizational goals and objectives. The successful candidate will lead a team, allocate resources, and ensure projects are completed within schedule and budget while meeting quality standards. The position requires strong communication and leadership skills, a minimum of 5 years of experience in project management, and familiarity with business development, project management techniques, and contract administration. The role is based in the US and involves 25% monthly travel, primarily within the US and Canada. GE Vernova offers competitive compensation, benefits, and opportunities for professional growth.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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