Job details
About this role
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We are seeking a highly skilled MID Software Engineer, AI-First Development who is
passionate about building modern, scalable software while leveraging Artificial Intelligence to
dramatically improve engineering productivity.
This is a hands-on engineering role for someone who embraces AI-first software development,
automates repetitive engineering tasks, and takes end-to-end ownership of the services they
build.
The ideal candidate is an expert in Java, Python, Azure, Azure Databricks, Microservices, and modern SDLC practices, with proven experience delivering cloud-native enterprise applications. Beyond technical expertise, we are looking for an engineer who actively uses AI to accelerate software delivery, improve code quality, automate engineering workflows, and
increase developer productivity.
Collaboration
• Work closely with architects, product owners, QA, DevOps, and business stakeholders.
• Collaborate effectively with onsite and offshore engineering teams.
• Participate in architecture discussions, code reviews, sprint planning, and technical
design sessions.
• Mentor junior and mid-level engineers while promoting engineering excellence and AI
adoption.
Required Qualifications
• Bachelor’s degree in computer science, Engineering, or a related field, or equivalent
practical experience.
• 7+ years of professional software development experience.
• Strong expertise in Java and Python.
• Hands-on experience with Microsoft Azure.
• Strong experience with Azure Databricks, Apache Spark, and Delta Lake.
• Proven experience designing and developing enterprise-grade microservices and REST
APIs.
• Strong understanding of distributed systems and cloud-native architectures.
• Experience with Docker, Kubernetes, CI/CD, and DevOps practices.
• Experience with Git, automated testing frameworks, and Agile software development.
• Excellent analytical, debugging, and problem-solving skills.
• Strong verbal and written communication skills.