Cutting-Edge Technologies Jobs in Remote

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

Senior Associate Engineer, Product Software

Company: Equinix, Inc

Location: Toronto, Canada / Remote

Posted Jan 24, 2025

Data Engineer

Company: Atlassian

Location: Bangalore, India / Remote

Posted Jan 24, 2025

Atlassian is seeking a Data Engineer for its Go-To Market Data Engineering (GTM-DE) team. The role involves building a data lake, maintaining big data pipelines, and facilitating the movement of billions of messages daily. The ideal candidate should have at least 2 years of experience as a software or data engineer, strong programming skills, and experience with data modeling and modern software development practices. They should be comfortable working in a fast-paced environment, solving complex problems, and have experience with AWS services like EMR, Kinesis, RDS, S3, and SQS. Atlassian values diversity and offers comprehensive perks and benefits.

Director, Partner Readiness Programs (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 24, 2025

CrowdStrike, a global leader in cybersecurity since 2011, is seeking a Director of Partner Readiness. The role involves leading a team to transform CrowdStrike's go-to-market strategy for its partner ecosystem, focusing on scaling partners' sales and technical capabilities. Key responsibilities include designing and executing a multi-year partner enablement strategy, developing programs and curriculum, and leading a global team. The ideal candidate should have 10+ years of relevant work experience, program management skills, and experience in designing global partner enablement programs. CrowdStrike offers a remote-friendly culture, competitive benefits, and a commitment to diversity and inclusion.

Cloud Oxxo

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 24, 2025

Account Executive - SMB (DACH)

Company: Smartsheet

Location: Munich, Germany / Remote

Posted Jan 24, 2025

Analyst, Data Science, US Retail Markets Distribution and Marketing

Company: Liberty Mutual Insurance

Location: Columbus, OH / Remote

Posted Jan 24, 2025

Liberty Mutual's US Retail Markets Data Science team is seeking an experienced Marketing Data Scientist. The role involves shaping marketing strategies by transforming complex data into actionable insights, partnering with in-house media buying teams, and building models to identify target segments. The ideal candidate should have technical expertise, a collaborative mindset, and knowledge of predictive analytics techniques. Responsibilities include applying sophisticated analytics techniques, translating quantitative analyses into accessible visuals, building predictive models, and staying updated with industry trends.

Chief Engineer

Company: Leidos

Location: Remote

Posted Jan 24, 2025

Technical Lead - Mainframe/iSeries Operations

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 24, 2025

Senior Java Developer

Company: ServiceNow

Location: Montreal, Canada / Remote

Posted Jan 24, 2025

ServiceNow, founded in San Diego in 2004 by visionary engineer Fred Luddy, is a global market leader in AI-enhanced technology. The company's intelligent cloud-based platform connects people, systems, and processes to enable smarter, faster, and better ways of working. With over 8,100 clients, including 85% of the Fortune 500, ServiceNow continues to innovate and improve its product suite. The role involves creating high-quality, scalable code, working with product managers, implementing user-friendly software, and contributing to new product design and enhancement. Qualifications include 4+ years of Java or similar OO language experience, JavaScript proficiency, and familiarity with modern UI frameworks. The company values inclusivity and welcomes candidates from diverse backgrounds.

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

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