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.

Application Developer-Cloud FullStack

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This role involves working with global clients to innovate hybrid cloud and AI solutions, requiring expertise in microservices and Angular. It offers career growth and collaboration with IBM's technology leader.

Application Consultant-DevOps

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on long-term client relationships, collaboration with industry visionaries, and driving innovation through hybrid cloud and AI solutions. It outlines responsibilities such as designing mobile solutions, continuous improvement via agile frameworks, and implementing monitoring systems for cloud infrastructure. The role emphasizes technical expertise, strategic partnerships, and leveraging IBM's technology platforms to deliver impactful results for clients.

Sr.Solutions Engineer

Company: IBM

Location: WASHINGTON, US

Posted Dec 09, 2025

This role involves collaborating with HashiCorp teams to enhance cloud solutions, requiring technical expertise and strong communication skills for customer success.

Product Manager, Product Success (ALM-Maximo, MREF, Envizi)

Company: IBM

Location: Dublin, IE

Posted Dec 09, 2025

This job description outlines a Product Manager role focused on demo system setup, synthetic data creation, and technical sales support. Key responsibilities include collaborating with cross-functional teams, maintaining scalable environments, and aligning datasets with customer use cases. Required skills involve cloud infrastructure knowledge, synthetic data tools, and cross-functional collaboration abilities.

Digital Sales Specialist Industries Market

Company: IBM

Location: Austin, US

Posted Dec 09, 2025

The text promotes a Digital Sales Specialist role at IBM, emphasizing career growth, collaborative teamwork, and impactful contributions to clients. It highlights opportunities for professional development, innovative problem-solving, and making a significant business impact through technology solutions.

Procurement Operations Supplier Onboarding and Vetting Specialist (Spanish Speaking - late shift)

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

This job posting outlines roles in procurement operations, focusing on supplier onboarding, vendor management, and system support. It details responsibilities like contract management, procurement processes, and collaboration with teams, along with required skills and qualifications.

Package Specialist-SAP HANA SCM MM

Company: IBM

Location: Ahmedabad, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving technical expertise in SAP implementations, project leadership, and collaboration with clients. It specifies educational requirements, technical skills in SAP modules, and preferred experience in areas like WM. The position emphasizes innovation, system solutions, and post-implementation support.

Machine Learning Engineer – Data Classification & Compliance

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description seeks a Machine Learning Engineer with expertise in financial services data classification, regulatory compliance, and containerized ML operations. The role requires proficiency in Python, experience with relational and non-relational databases, and knowledge of global data privacy regulations. Candidates should demonstrate strong technical skills in ML frameworks and data governance tools.

Internal Business/Operations Support

Company: IBM

Location: Leicester, GB

Posted Dec 09, 2025

IBM CIC offers diverse career opportunities with focus on professional growth, innovative projects, and a supportive work environment. The role includes administrative support, collaboration with teams, and benefits like training, flexible working, and career development programs.

AI Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes IBM Consulting's career opportunities, emphasizing global collaboration, innovation in hybrid cloud and AI solutions, and professional growth. It highlights technical expertise, strategic partnerships, and a culture of evolution, while outlining required skills and educational qualifications for roles involving AI architecture and client-facing consulting.

Application Developer-SAP ABAP

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, hybrid cloud and AI innovation, and career growth opportunities. It outlines responsibilities like feature development, stakeholder collaboration, and continuous learning, along with educational and technical requirements.

Intern 2026: Quantum Algorithm Research

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes IBM Research opportunities in quantum computing, emphasizing collaboration, innovation, and professional growth. It outlines role responsibilities, required skills, and the impact of contributing to cutting-edge technology.

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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