Log In
Sign Up
Electronic Arts off campus drive 2026 for Software Engineer Recently graduated apply now .This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in , India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company :
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
☸️ Direct Access to 24k + HR emails Contacts☸️
Job Overview
Electronic Arts is more than you’ve ever realized. We’re more than a company, or a headline, or even a clever catchphrase – we’re a vibrant community of artists, storytellers, technologists, and innovators working toward a shared vision: to inspire and unite through play.
While headquartered in Redwood City, EA’s platform engineering, game development, and publishing operations take place in a network of locations, stretching from Shanghai to Stockholm, Melbourne to Vancouver, Redwood City to Hyderabad. No matter which of our locations you join, you’ll feel the energy and support of EA’s global brand, while immersing yourself in a culture that inspires you to thrive, take risks and dream big.
Responsibility
We are seeking a talented software engineer that will work with our outstanding software development team on projects that our organization is currently working on. Developing and overseeing software system testing and validation procedures, as well as leading our software programming projects, will be among our responsibilities. Additionally, you will be communicating project statuses and proposals in close collaboration with clients and cross-functional departments.
Software engineers create, build, and test computer software using concepts and methods from computer science, engineering, and mathematics.
Responsibilities:
- Assist in building and integrating AI-powered tools and automation solutions to improve engineering efficiency and developer productivity.
- Contribute to the development of scalable AI/ML and Generative AI applications, including workflows involving LLMs, RAG pipelines, and intelligent agents.
- Support the design, testing, and optimization of backend services, APIs, and cloud-native applications.
- Analyze application logs, test results, and system metrics to identify issues and improve overall platform performance.
- Collaborate with cross-functional engineering teams to troubleshoot technical problems and support feature development.
- Work on automation, monitoring, and operational tasks related to AI Platform products & services, cloud infrastructure, and deployment pipelines.
- Document findings, communicate progress updates, and present technical learnings to mentors and team members.
- Follow engineering best practices, security standards, and organizational compliance guidelines.
- Demonstrate curiosity, ownership, adaptability, and a willingness to learn emerging AI and cloud technologies in a fast-paced environment.
🔒 Premium Jobs (Pro Only)
Testing-WAM-Off Campus
Company details hidden
Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu
Company details hidden
Software Development Engineer
Company details hidden
Graduate Engineer Trainee – Product
Company details hidden
Graduate Engineer Trainee
Company details hidden
🚀 These jobs are only for Common Jobs Pro Users
Upgrade Now
Upgrade Now
Qualifications:
- Recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Basic programming knowledge in Python, SQL, or Java, with an interest in AI/ML application development.
- Familiarity with Machine Learning, Deep Learning, or Generative AI concepts is preferred.
- Exposure to technologies such as LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Vector Databases, or MLOps is a plus.
- Basic understanding of cloud platforms (GCP, Azure, or AWS. Docker, and Kubernetes is an added advantage.
- Interest in building scalable AI platforms, intelligent applications, and data-driven solutions.
- Understanding of APIs, backend services, and distributed systems fundamentals is beneficial.
- Strong analytical and problem-solving skills with eagerness to learn emerging AI technologies.
- Ability to work collaboratively in a fast-paced engineering environment.
- Good communication and presentation skills with a proactive and innovative mindset.
For quick updates join our WhatsApp channel : Click here
×
CJ