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.

Senior Manager, Foundational Data Platform

Company: Procore Technologies

Location: Remote

Posted Jan 23, 2025

Procore is seeking a Senior Manager, Foundational Data Platform to lead a team in developing a data platform for the construction industry, aiming to revolutionize this historically underserved sector. The role involves building tools, libraries, and standards for an event streaming processing pipeline, managing data systems, and ensuring data quality. The position offers high visibility, strategic and technical challenges, and the opportunity to work with passionate engineers. It's based in Carpinteria, CA, or Austin, TX, and requires immediate joining.

Lead, DevOps Engineer - AWS

Company: Prudential Financial

Location: Newark, NJ / Remote

Posted Jan 23, 2025

Prudential is seeking a Lead, DevOps Engineer for a hybrid role based in Newark, NJ. The successful candidate will design, implement, and maintain CI/CD pipelines, develop infrastructure as code, and manage AWS cloud infrastructure. Key responsibilities include developing automated solutions for continuous integration and delivery, implementing container orchestration tools, and ensuring security best practices. The ideal candidate will have a Bachelor's degree in Computer Science or Engineering, 5+ years of DevOps and AWS experience, proficiency in scripting languages, and expertise in CI/CD and IaC tools. Preferred qualifications include AWS certifications, knowledge of microservices architecture, and familiarity with Agile/Scrum methodologies.

Manager Software Engineering, SRE Embedded

Company: Procore Technologies

Location: Remote

Posted Jan 23, 2025

Procore Technologies is seeking an experienced Engineering Manager to join their team and revolutionize the construction industry. The role involves leading a team of Reliability Engineers to improve the reliability of Procore's services, mentoring team members, and collaborating with internal customers and leadership. The ideal candidate should have a degree in MIS or related field, 8+ years of experience in software, DevOps, or Reliability Engineering, and experience scaling teams and leading large initiatives. Procore offers a culture that encourages ownership and innovation, along with competitive benefits.

Product Marketing Manager

Company: EVERFI

Location: Remote

Posted Jan 23, 2025

Mortgage Loan Processor

Company: LendingHome

Location: Remote

Posted Jan 23, 2025

Kiavi, previously LendingHome, is a leading U.S. lender to real estate investors, empowering them with technology and innovative financing solutions. Founded in 2013, Kiavi has funded over $7.8 billion in loans for around 35,000 projects across 27 states. The company, with over 400 employees, aims to revitalize aged U.S. housing stock and provide move-in ready homes. The Loan Analyst role involves processing loans, working with third parties, borrowers, and mortgage brokers, and meeting processing and funding goals. The ideal candidate has 1-2 years of experience as a Loan Analyst/Processor, strong computer skills, and excellent communication abilities.

Software Engineer - Serverless

Company: Datadog

Location: Boston, MA / Remote

Posted Jan 23, 2025

Datadog is expanding its Serverless team to enhance support for FaaS products like AWS Lambda and upcoming offerings from partners. The team focuses on high-scale distributed systems for real-time data collection and user-friendly UIs for understanding serverless applications. Engineers will help establish industry standards for serverless monitoring tools, collaborating with teams working on metrics, distributed tracing, and logs analytics. The role requires significant experience in one or more languages, a focus on code simplicity and performance, and the ability to design high-scale architectures. Bonus points for experience with systems like Redis, Cassandra, or Kafka, and with Python, Go, or Java. Datadog offers a competitive salary, equity package, and comprehensive benefits, including healthcare, dental, parental planning, mental health benefits, a 401(k) plan, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The estimated yearly salary ranges from $130,000 to $300,000 USD.

Demand Generation Manager

Company: EVERFI

Location: Remote

Posted Jan 23, 2025

Staff Backend API Engineer

Company: Hatch

Location: Remote

Posted Jan 23, 2025

Hatch is a company dedicated to aiding small businesses in starting and growing. They are developing financial products to empower business owners, allowing them to concentrate on their products and business expansion. Their team, spread across the US and Canada with offices in San Francisco and more opening, is expanding. They are seeking a Backend/API software engineer to build financial software services for small businesses. The engineer will design APIs for all Hatch products, manage partner integrations, scale automated processes using rule-based and machine learning models, and develop real-time accounting and money movement platforms. The ideal candidate should have strong programming fundamentals, experience with Java, Kotlin, Scala, or similar languages, familiarity with backend web frameworks, and relational database experience. Hatch values scalable, durable, and easy-to-use code, and offers a supportive team environment.

Oncology Quality Lead

Company: Q-Centrix

Location: Remote

Posted Jan 23, 2025

Q-Centrix, the largest provider of clinical data management solutions to acute care hospitals, is seeking a Clinical Data Lead. This role involves managing quality tasks, ensuring partner satisfaction, and serving as a subject matter expert. The ideal candidate should have an Oncology Data Specialist (ODS) Certification, 1+ years of direct data abstraction experience, and proficiency in MS Office. Q-Centrix offers a competitive rewards package, including flexible work environment, robust benefits, and opportunities for professional development.

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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