Flexible Working Hours Jobs in Multiple Locations

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Looking for Flexible Working Hours jobs in Multiple Locations? Browse our curated listings with transparent salary information to find the perfect Flexible Working Hours position in the Multiple Locations area.

PLM Teamcenter Imple. Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with leading professionals, deliver effective solutions, and drive business change using the latest technology platforms. The company provides training, promotion opportunities, feedback, diversity and inclusion, recognition programs, and benefits such as flexible working, sabbaticals, and pension plans. They are seeking experienced Teamcenter Application Consultants to join their Client Innovation Center and work on configuring and supporting Teamcenter for clients across various sectors.

Data Engineer with DBT

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job posting is for a Data Engineer role at IBM Consulting, focusing on designing, building, and maintaining large-scale data systems. The role involves working with cross-functional teams, developing data pipelines, and collaborating with stakeholders. Required skills include proficiency in Python, experience with DBT and Snowflake, and knowledge of Data Vault 2.0 data modeling principles.

Application Developer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as an Application Developer for Federal clients. The position involves designing, developing, and implementing Maximo applications, collaborating with multidisciplinary teams, and optimizing system performance. The role requires a strong technical background, experience with IBM Maximo, and the ability to obtain a Federal security clearance.

AI Engineer – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM's Client Engineering team is evolving its approach to technology sales by focusing on innovative solutions, collaboration, and client engagement. The AI Engineer role involves developing and deploying AI systems using the WatsonX platform, with a focus on pre and post-sales pilots, solution optimization, collaboration, and staying up-to-date with industry trends.

Senior Data Scientist - Public Sektor (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients to develop transformative solutions using AI, hybrid cloud, and data analytics. It highlights the role of a Senior Data Scientist in the public sector, emphasizing the importance of data analysis, strategy development, and collaboration with clients and teams.

Intern 2026: AI for Math and Science

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Research is a team dedicated to inventing the future of computing, focusing on AI-based methods and algorithms for computational problems. The role involves developing, evaluating, and demonstrating new AI-based methods and systems, requiring expertise in AI model development and research in mathematics, physics, and computability.

(IJDS DXセンター) Application Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This is a Japanese-speaking role located in Japan, working on large-scale projects across various industries. The role involves all phases of project development, from requirements definition to post-release testing and operation. Experience in Java, web application development, server-side development, cloud-native application development, and mobile application development is preferred.

Sr. Data Analytics Engineer - HashiCorp

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role as a Sr Data Analytics Engineer. The role involves developing data models, reports, and dashboards to enable data-driven decision making for business stakeholders. Success is measured by reduced time for self-service insights, high adoption of data products, and reliable data solutions.

Security Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a Security Consultant role in IBM's CISO organization. It highlights the challenges, growth opportunities, and key responsibilities of the role, emphasizing the importance of cybersecurity expertise, technical proficiency, and problem-solving skills.

SAP EAM Work Management Package Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job description outlines the role of a lead SAP consultant at IBM Consulting, focusing on delivering innovative business solutions through design, build, and test, including systems integration. The successful candidate will have extensive SAP implementation experience, strong knowledge in the SAP PM domain, and excellent communication and interpersonal skills.

Infrastructure Specialist-Cloud Data Platform Managed Services

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job posting is for an experienced Kafka Administrator to join a team and manage enterprise-grade Kafka environments. The role requires expertise in Confluent Platform, Kubernetes/OpenShift, and Kafka security configurations. Responsibilities include administering Kafka clusters, deploying Confluent Platform using CFK, implementing Kafka security, configuring ClusterLink and Replicators, setting up ActivePassive clusters, integrating Confluent Connectors, working with CDC connectors, collaborating with development teams on Python/Spring Boot Kafka applications, utilizing GitHub, GitHub Actions, and ArgoCD for CI/CD and automation, and monitoring and optimizing Kafka performance and reliability.

Recruiter, IBM Consulting

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a recruitment role at IBM. It outlines the responsibilities, required skills, and qualifications for the position. The role involves collaborating with hiring managers, sourcing and qualifying candidates, managing the recruitment process, and maintaining compliance with recruitment workflows.

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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