New Grad Jobs

1,186,913 open positions · Updated daily

New Grad tech positions are booming as AI, cloud, and cybersecurity demand fresh talent. Companies are hiring aggressively, offering roles that blend learning opportunities with real-world impact.

Typical New Grad roles include Software Engineer, Data Analyst, DevOps Associate, and Cybersecurity Analyst. Responsibilities range from building microservices in Python or JavaScript, data modeling in SQL, to automating CI/CD pipelines with Docker and Kubernetes.

Salary transparency is vital for newcomers: it clarifies expectations, eliminates negotiation anxiety, and ensures that graduates can compare offers beyond headline numbers.

Package Consultant-SAP FIN FI

Company: IBM

Location: Pune, IN

Posted Dec 05, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients globally to improve hybrid cloud and AI solutions. The role involves assisting clients in selecting, implementing, and supporting SAP FI, leading projects, conducting testing, and providing technical expertise. A bachelor's degree is required, with a master's degree preferred. 8 years of SAP functional experience, specializing in SAP FI modules, is required, along with experience in gathering business requirements, designing solutions, and testing.

UX Designer Intern (8 months)

Company: IBM

Location: Markham, CA

Posted Dec 05, 2025

The text is a job description for a UX Designer position at IBM Developer Skills Network. It highlights the company's focus on design, innovation, and continuous learning. The role involves designing and developing web and graphical user interfaces, creating mockups and layouts, and working with various tools and technologies. The position is an 8-month work term starting in January or September 2026, and requires enrollment in full-time studies at a postsecondary institution.

金融業界向け コンサルタント

Company: IBM

Location: Tokyo, JP

Posted Dec 05, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working on challenging projects, and continuous learning and development. It emphasizes the importance of curiosity, problem-solving skills, and the ability to work across different disciplines and industries.

Package Consultant-Oracle Cloud CX

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

The text describes a career opportunity at IBM Consulting, focusing on implementing and enhancing Oracle CPQ cloud functionalities. It requires a Bachelors or Masters degree and strong technical expertise in Oracle CPQ, BMLCCS, jQuery, XML, configuration, commerce integration, and document design. Preferred experience includes Oracle CPQ certification and strong analytical skills.

Managing Consultant - SAP S/4HANA MM (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes a role at IBM Consulting where the individual will work closely with clients worldwide to improve their hybrid cloud and AI journey. The role involves consulting on strategy, business processes, requirements analysis, solution design, and IT implementation, with a focus on SAP S4HANA Logistics. The position requires at least 3 years of experience in SAP S4HANA process consulting and knowledge of SAP industry solutions for the public sector.

Application Developer-Oracle eBS

Company: IBM

Location: Gurgaon, IN

Posted Dec 05, 2025

This role involves collaborating with global clients to develop hybrid cloud and AI solutions, requiring technical expertise in Agile, DevOps, and data migration, with opportunities for professional growth through mentorship and training programs.

SAP Consultant-HANA & CFIN (Central Finance)

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes a career in IBM Consulting, highlighting long-term relationships with clients, collaboration across industries, and the use of hybrid cloud and AI technologies. It emphasizes the importance of curiosity, continuous learning, and the opportunity to work on strategic SAP solutions.

DevOps Engineer (m/w/x)

Company: IBM

Location: WIEN, AT

Posted Dec 05, 2025

The text describes a career opportunity at IBM Consulting, focusing on a DevOps Engineer role in Austria. The role involves working with clients to implement and operate applications using cutting-edge technologies, collaborating in an agile team, and continuously developing skills. IBM offers flexible working hours, a modern work environment, and a competitive salary.

Associate Application Consultant-AWS Cloud

Company: IBM

Location: BANGKOK, TH

Posted Dec 05, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Associates work with visionaries across industries to improve hybrid cloud and AI journeys. The role involves assisting clients in selecting, implementing, and supporting applications, with a focus on professional development and continuous learning.

Software Developer Intern

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

IBM is seeking Software Development Engineers to work on cutting-edge storage products. The role involves developing, testing, and supporting hardware, firmware, and software. Required skills include knowledge of Linux, software development methodologies, and programming languages like Python and Bash. Preferred experience includes proficiency in Python, storage concepts, and CICD tools.

AI Engineer Intern– Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

IBM's Technology Sales Internship Program is seeking undergraduate and graduate students to join their Client Engineering team as AI Engineer interns. The program focuses on developing and deploying AI systems using the watsonx platform, with a collaborative and experiential sales environment. Interns will work on pre and post-sales pilots, solution optimization, collaboration, and staying up-to-date with industry trends.

Data Scientist - Artificial Intelligence

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, collaborating with team members to understand data-driven challenges, maintaining focus on learning and quality, supporting analysis and resolution of data inconsistencies, assisting in developing machine learning models, contributing to data preprocessing and exploratory data analysis, and documenting technical requirements. The position requires a Bachelors Degree, at least 2 years of experience as a data scientist with AI-related projects, familiarity with machine learning concepts, statistical modeling techniques, basic programming skills in SQL, Python, or R, and eagerness to learn and support technical teams.

Frequently Asked Questions

What are typical salary ranges for New Grad positions?
Entry‑level software engineers receive $70,000–$90,000 base, data analysts $65,000–$80,000, DevOps roles $75,000–$95,000, and junior cybersecurity analysts $68,000–$85,000. After 2–3 years, these ranges increase to $90k–$120k as experience grows.
What skills and certifications are most valuable for New Grads?
Foundational skills include Python, JavaScript, SQL, and Git. Cloud certifications like AWS Certified Developer – Associate, Azure Fundamentals, or GCP Associate Cloud Engineer boost employability. Proficiency in Docker, Kubernetes, and CI/CD tools is increasingly required.
Is remote work common for New Grad roles?
Yes. Approximately 60% of tech firms offer fully remote or hybrid options for New Grads, especially in software and data science positions. Remote roles often include full relocation packages or stipends for home office equipment.
What career progression paths exist from a New Grad role?
Typical progression: Junior Engineer → Software Engineer → Senior Engineer → Tech Lead or Engineering Manager. In data, it follows Analyst → Senior Analyst → Data Scientist → Lead Data Scientist. Continuous learning and obtaining advanced certifications accelerate upward movement.
What industry trends should New Grads focus on?
Key trends include AI/ML model deployment, cloud-native architecture, DevSecOps, edge computing, and cybersecurity compliance. Focusing on these areas ensures relevance as companies invest in scalable, secure, and intelligent solutions.

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