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.

Mid-Level Java Engineer

Company: Vigil

Location: Remote

Posted Jan 30, 2025

The job posting is for a MidLevel Java engineer position in Portugal or Brazil. The role involves creating and maintaining microservices for a new payments solution, collaborating with various team members, and participating in Agile Scrum processes. The ideal candidate should have 4+ years of Java development experience, proficiency in Java 11+, Spring framework, SQL, JPA/Hibernate, RESTful web services, and Maven. Knowledge of Kafka, CI tools, and Agile development is also required. The company offers a collegial environment, ongoing training, and the possibility of travel.

Contracts Manager

Company: ServiceNow

Location: Austin, TX / Remote

Posted Jan 30, 2025

Channel Practice Development Lead, Rovo AI

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Jan 30, 2025

Senior AI Product Engineer, Backend

Company: Arize AI

Location: Remote

Posted Jan 30, 2025

Arize is a leading AI observability and evaluation platform, offering a world-class software solution to improve AI applications. The Backend Engineering team builds scalable distributed services, primarily in Go, Python, Java, and TypeScript. The role involves writing maintainable, scalable, and performant backend code, building high-volume analytics systems, designing APIs for ML and LLM workflows, and collaborating with product design and customer engineering teams. The ideal candidate has 5+ years of experience with high-performance backend systems, strong experience in Go, Python, TypeScript, Node.js, Java, or similar languages, and a keen interest in the AI and LLM ecosystem. Bonus points for experience with distributed stream processing, OLAP systems, system observability tooling, and Machine Learning/Data Science.

Technical Support Representative

Company: Kyndryl

Location: Alajuela, Costa Rica / Remote

Posted Jan 30, 2025

Lead, Infrastructure Specialist

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 30, 2025

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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