Software Engineer

Cognizant•San Jose, CA

About The Position

Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. We are seeking a talented Software Engineer to design, develop, and deliver scalable microservices and distributed systems. The role involves building high-quality software in an agile environment, leveraging modern technologies such as Go, Java, Python, Docker, Kubernetes, and cloud platforms. You will collaborate with cross-functional teams to transform ideas into robust solutions, implement CI/CD practices, and ensure performance, reliability, and security across applications. Strong problem-solving, debugging, and analytical skills are essential.

Requirements

Proficiency in Go (GoLang), Java (including J2EE, Spring, Spring Boot), and Python is essential.
Strong experience with Docker and Kubernetes for deploying and managing containerized applications.
Proven experience in designing and building applications using microservices architecture and associated principles.
Familiarity with major cloud providers (AWS, GCP, Azure) and cloud-native technologies.
Experience with both SQL/RDBMS (Postgres, MySQL) and NoSQL databases (MongoDB, Redis, Elasticsearch).
Experience with tools like Git, Jenkins, Kafka, and a strong understanding of CI/CD practices.
A Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
Strong analytical, problem-solving, and debugging skills are consistently emphasized.

Responsibilities

Develop scalable microservices applications and solutions
Design, implement, and test high-quality software, often in an agile development environment using CI/CD pipelines.
Collaborate with cross-functional to drive features from concept to reality.
Work on large-scale distributed systems and performance-oriented applications.