Team Player Jobs
1,373,057 open positions · Updated daily
Team Player roles are booming as companies pivot to distributed, cross‑functional teams that rely on rapid iteration and shared ownership. In 2024, hiring for Agile Coaches, Scrum Masters, and cross‑disciplinary Product Owners grew 25% year‑over‑year, and 1,273 positions are currently listed on our board.
Within the Team Player category you’ll find Agile Coaches who design and mentor Scrum teams, Scrum Masters who facilitate ceremonies and remove impediments, Product Owners who own the backlog and align stakeholders, DevOps Engineers who build CI/CD pipelines in GitLab or Jenkins, QA Leads who coordinate testing across squads, UX Researchers who surface customer insights, and Technical Writers who translate complex specs into clear documentation.
Salary transparency is critical for Team Player professionals because collaboration thrives when everyone has a clear understanding of compensation benchmarks. Transparent pay helps reduce hidden wage gaps, aligns expectations before project handoffs, and empowers teammates to negotiate roles that match their impact and effort.
[2026 Internship] Security Specialist-SOC 보안관제 및 침해사고 대응
Company: IBM
Location: Seoul, KR
Posted Dec 09, 2025
The text describes an IBM Consulting internship offering opportunities to work with cutting-edge technologies, collaborate with global teams, and gain skills for career growth. It highlights roles in cybersecurity, project participation, and professional development through mentorship and training programs.
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.
SAP Ariba Consultant
Company: IBM
Location: Kosice, SK
Posted Dec 09, 2025
This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP Ariba, and opportunities for innovation. It outlines responsibilities including system integration, data management, and team leadership, along with required qualifications and skills.
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.
Benchmarking Engineer
Company: IBM
Location: Multiple Cities
Posted Dec 09, 2025
The text promotes IBM's Data Platform as a leading hybrid AI and data solution for enterprises, emphasizing its role in driving a paradigm shift in productivity. It describes a job opportunity for skilled engineers to contribute to benchmarking and development of cutting-edge technologies, highlighting both technical expertise and strategic collaboration requirements.
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.
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.
Business Transformation Consultant-Application Automation
Company: IBM
Location: Taipei, TW
Posted Dec 09, 2025
This job description outlines a Platform Engineer role focusing on designing, maintaining, and optimizing cloud-native platforms using OpenShift and Kubernetes. Responsibilities include platform design, automation with Infrastructure as Code, CICD pipeline enablement, troubleshooting, and mentorship. Required skills involve Kubernetes expertise, OpenShift proficiency, Terraform, containerization, and OS operations. Preferred experience includes monitoring tools, GitOps principles, and presentation skills.
Application Developer-Azure Cloud FullStack
Company: IBM
Location: BANGALORE, IN
Posted Dec 09, 2025
This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to lead teams through strategic technology platforms. It highlights required skills in full-stack development and Azure, while promoting growth and impactful problem-solving for clients.
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.