Technical Expertise Jobs in Remote

Positions 294,137 Updated daily

Looking for Technical Expertise jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Technical Expertise position in the Remote area.

Staff Content Designer - Evidence and Messaging Systems

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The role involves ensuring members have the right information to discover and decide on content. Success is measured by members effortlessly understanding if a title is right for them and seamlessly planning for and engaging with timely content.

Software Engineer L4/L5 - Model Serving Systems, Machine Learning Platform

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix promotes its leadership in entertainment services and AI innovation, highlighting opportunities for engineers to develop scalable systems and contribute to ML/AI advancements. The role emphasizes cross-functional collaboration, technical expertise, and comprehensive benefits.

Security Engineer (L4) - Identity

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a skilled Identity and Access Management (IAM) engineer to design and build security solutions for its global workforce and partners. The role requires expertise in IAM fundamentals, experience with vendor IAM solutions, and strong communication skills.

Senior Front End Engineer - Experimentation

Company: Reddit

Location: Remote

Posted Nov 19, 2025

Reddit is rapidly innovating and growing, with the Experimentation Platform being a critical accelerant. The team is seeking a Senior Software Engineer to help build a world-class experimentation platform, with challenges including designing a UX for product teams, developing high-scale data products, increasing developer efficiency, and collaborating cross-functionally. The role offers the opportunity to work with teams across Reddit and have a huge impact.

Big Data Manager - Professional Services

Company: Databricks

Location: Remote

Posted Nov 19, 2025

The job posting is for a Big Data Manager position in the Professional Services team. The role involves working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology projects. The ideal candidate should have extensive experience with Big Data technologies, people management skills, and experience working across multiple cloud platforms.

Manager - Data Protection

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is expanding globally and into new products like games. Netflix is committed to fostering user trust and transparency while balancing business needs. The Privacy & Data Protection Engineering team ensures responsible data use and provides confidence that privacy and security risks are managed across the company.

Data Scientist (L5) - Performance Marketing

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix promotes its growth as a global entertainment leader with 300 million members, emphasizing original content and data-driven strategies. The job description highlights opportunities for senior data scientists to impact marketing decisions through analytics and innovation.

Support Solutions Engineer - Big Data (L5)

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Engineering Support Organization empowers Data Platform Engineering to scale customer support effectively. The role is a Support Solutions Engineer position based in Warsaw, requiring experience in big data technologies and customer-facing engineering support.

Customer Success - Team Manager

Company: Canonical

Location: Remote

Posted Nov 19, 2025

Canonical promotes itself as a leading open-source provider with global impact, offering a remote role in Customer Success Team Management. The position emphasizes growth, collaboration, and innovation in a distributed work environment with opportunities for travel and professional development.

Data Scientist (L5) - Mobile & Search

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Member Experience Data Science and Engineering team drives innovations in Netflix's core product experience through data, collaboration with Product and Engineering teams, and leveraging emerging technologies. The role involves shaping the direction of Netflix's core product on Mobile, driving product innovation, and ensuring a coherent overall product experience for members.

Engineering Manager - Title and Launch Management

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Title and Launch Management (TLM) team is responsible for building and innovating the technology foundations that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix. The company is forming a new team within TLM to automate large-scale content ingestion, replacing existing manual processes. The team will collaborate closely with many partners and stakeholders to orchestrate ingestion, validation, and conformance of assets and metadata across many domains.

Machine Learning Engineer 5 - Platform Forecasting & Optimization

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a Machine Learning Engineer to join their data organization and work on improving the performance, reliability, and efficiency of their infrastructure systems. The ideal candidate will have experience in developing and implementing machine learning models, working with large distributed cloud systems, and optimizing infrastructure footprint.

Frequently Asked Questions

What are typical salary ranges by seniority for Technical Expertise roles?
Junior engineers (0–2 years) earn $80k–$110k, mid‑level (2–5 years) $110k–$160k, senior (5–10 years) $160k–$210k, and lead/architects $210k–$260k. These ranges vary by region and industry but reflect the national average for software, data, and security positions.
What skills and certifications are required in Technical Expertise?
Core languages: Python, Go, Rust, JavaScript/TypeScript. Frameworks: React, Node.js, Spring. Infrastructure: Docker, Kubernetes (CKA), Terraform, Ansible. Cloud: AWS Certified Solutions Architect, GCP Professional Data Engineer, Azure Solutions Architect. Security: Certified Ethical Hacker (CEH), OSCP, OWASP Top 10. Machine learning: TensorFlow, PyTorch, scikit‑learn. Each domain benefits from hands‑on labs and real‑world projects.
Is remote work available for Technical Expertise positions?
Over 80% of listings allow remote or hybrid work. Companies like GitHub, Atlassian, and Automattic offer fully remote teams; others provide flexible schedules and global collaboration tools. Remote roles often include time‑zone‑aligned meetings and virtual onboarding.
What are common career progression paths in Technical Expertise?
Typical trajectory: Junior Engineer → Mid Engineer → Senior Engineer → Lead Engineer → Principal Engineer/Architect → VP of Engineering or CTO. Lateral moves include switching from front‑end to back‑end, from development to security, or from data engineering to ML engineering. Career growth can be accelerated by mentoring, contributing to open source, and obtaining advanced certifications.
What industry trends influence Technical Expertise today?
Key trends include AI/ML model deployment, edge and serverless computing, DevSecOps practices, quantum‑ready architectures, low‑code/no‑code platforms, growing cybersecurity demands, blockchain scalability solutions, and IoT data pipelines. Staying current requires learning new frameworks, attending specialized conferences, and engaging with community forums.

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