Flexible Working Hours Jobs

1,491,735 open positions · Updated daily

Flexible Working Hours positions are booming as companies prioritize results over 9‑to‑5 schedules. With remote‑first tech firms expanding, developers, data scientists, and product managers can now set their own hours while still meeting sprint deadlines. The demand for hourly‑paid, outcome‑driven work is growing, and job listings now provide exact salary ranges so candidates can compare offers instantly.

Typical roles include Software Engineer, DevOps Engineer, UX Designer, Data Analyst, and Product Manager. Responsibilities center on writing clean code, automating CI/CD pipelines, designing user flows, building predictive models, and steering product roadmaps—all while coordinating via tools like Git, JIRA, Slack, and cloud platforms (AWS, GCP, Azure). Flexible hours let teams collaborate across time zones without sacrificing delivery speed.

Salary transparency is critical because flexible‑hour workers often negotiate hourly rates, shift premiums, or project‑based fees. Knowing the exact pay for a given role—and how it scales with experience—helps professionals avoid under‑compensation and ensures that remote or part‑time arrangements remain financially viable. Transparent data also lets employers benchmark against industry standards and attract top talent.

Software Engineer Intern - AI Accelerators Research

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Research emphasizes innovation, problem-solving, and technological advancement in AI accelerators. The role involves software development, hardware-software co-optimization, and research in AI applications. Required expertise includes AI accelerators, compilers, and prototyping, with a focus on impactful, cutting-edge solutions.

Product Manager - IBM Storage

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM's infrastructure solutions and job opportunities, emphasizing innovation, collaboration, and growth. It highlights roles involving market research, product strategy, and teamwork, while outlining required skills and a supportive work environment.

Kubernetes Platform Engineer (Go, back-end)

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

IBM Cloud's Kubernetes Service, developed with Red Hat, offers job opportunities for engineers. The role involves creating scalable solutions using Go, Ansible, and Terraform, with a focus on customer-centric platforms.

Oracle Cloud Service Logistics Consultant

Company: IBM

Location: London, GB

Posted Dec 09, 2025

IBM CIC offers career growth opportunities, training programs, and a supportive culture focused on innovation and skill development. The role emphasizes collaboration, client impact, and professional advancement through cloud and AI technologies.

Recruiter, Consulting

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a recruitment role at IBM with opportunities to shape the company's future, requiring expertise in talent acquisition and innovative approaches. The position emphasizes impactful responsibilities, professional growth, and working in a dynamic environment.

Industry Consultant-Banking

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's Client Innovation Centers, requiring expertise in banking/financial services, Agile methodologies, and technical skills. It specifies educational qualifications, experience in core banking processes, and knowledge of data protection practices. The position emphasizes leadership, communication, and structured software development environments.

Product Manager (Public Sector)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers a dynamic role with career growth, extensive training, and a supportive culture. The position involves leading product strategies and collaborating with diverse teams, requiring expertise in Agile, DevOps, and cloud platforms.

Senior Software Engineer - Infinispan/Data Grid (Java Distributed In Memory Database)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career opportunity at IBM Software, emphasizing innovation, growth, and collaboration on cutting-edge AI-powered cloud-native solutions. It highlights the role of a Senior Software Engineer in developing high-quality software, working with distributed systems, and contributing to open-source projects like Infinispan. The position requires expertise in Java, distributed systems, and open-source methodologies, with a focus on enterprise-grade solutions and community engagement.

AI Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This job description outlines a role for an AIML Engineer specializing in Large Language Models, focusing on data collection, LLM integration, and best practices for AI implementation. Responsibilities include designing data pipelines, ensuring compliance with governance standards, and optimizing model deployment. Required skills involve NLP expertise, Python programming, and MLOps knowledge.

IBM Internship Data Engineer - Python

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's internship program offers opportunities to work on real-world data projects, gain hands-on experience with industry tools, and collaborate with experts in data engineering and AI. The role involves ETL development, data quality assurance, and cross-functional teamwork, with a focus on innovation and professional growth.

Associate Application Consultant-AWS Cloud

Company: IBM

Location: Singapore, SG

Posted Dec 09, 2025

The text promotes IBM Consulting's Associate Program, emphasizing professional growth, global client collaboration, and opportunities to work on innovative technologies. It highlights career development, technical skills training, and the importance of a growth mindset in solving complex client challenges.

Digital Technical Specialist - Power & Public Cloud for Italian Market

Company: IBM

Location: Valencia, ES

Posted Dec 09, 2025

The role of a Digital Sales Technical Specialist at IBM involves collaborative technical expertise, client engagement, and career growth in a supportive environment. Responsibilities include acting as a Power expert, providing technical sales support, and positioning IBM's solutions against competition. The position emphasizes professional development, cross-team collaboration, and building a personal brand through trusted advisory roles.

Frequently Asked Questions

What are typical salary ranges by seniority for Flexible Working Hours roles?
Junior (0‑2 years) usually earn $25‑$35 per hour ($52k‑$73k annually). Mid‑level (2‑5 years) ranges $35‑$50/hr ($72k‑$104k). Senior (5+ years) can command $50‑$70/hr ($104k‑$145k). These figures reflect hourly rates for contractors and full‑time roles with flexible scheduling across tech sectors.
What skills and certifications are required for Flexible Working Hours positions?
Key skills: Agile/Scrum methodology, remote collaboration via Jira/Confluence, version control (Git), CI/CD, cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes). Certifications: AWS Certified Solutions Architect, Certified Scrum Master, Google Professional Data Engineer, Microsoft Certified: Azure DevOps Engineer Expert.
Is remote work available for Flexible Working Hours jobs?
Most listings allow 100% remote or hybrid; a typical company offers 3‑5 remote days per week and flexible start/end times. Some roles even enable work from any location with VPN access and cloud‑based dev environments.
What are the career progression paths in Flexible Working Hours roles?
Contractor → Full‑time → Team Lead → Engineering Manager → Director of Engineering. Alternatively, a junior engineer can climb from junior to senior, then to staff or principal roles, often while maintaining flexible schedules. Upskilling in cloud, AI, or product strategy unlocks higher‑level opportunities.
What industry trends affect Flexible Working Hours?
The shift to outcome‑based performance, AI‑driven task management, and continuous delivery pipelines fuels demand for flexible schedules. Companies adopt time‑boxing, flexible sprint lengths, and asynchronous communication to reduce time‑zone friction. As a result, flexible working hours are becoming standard in tech, especially in software, data science, and product teams.

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