AI-First Mid Software Engineer

Accountabilities:

• • Design, develop, and maintain scalable, enterprise-grade applications using Java and Python.
  • Build and evolve cloud-native microservices and REST APIs, applying sound software architecture and distributed-systems principles.
  • Develop data-intensive solutions using Azure Databricks, Apache Spark, and Delta Lake.
  • Leverage Microsoft Azure services to build, deploy, and operate reliable cloud-based applications.
  • Apply AI-first development practices to accelerate coding, testing, debugging, documentation, and other engineering workflows.
  • Identify repetitive engineering activities and implement automation to improve development efficiency and productivity.
  • Take end-to-end ownership of services, from technical design and implementation through testing, deployment, monitoring, and continuous improvement.
  • Participate in architecture discussions, technical design sessions, sprint planning, code reviews, and other engineering ceremonies.
  • Work closely with architects, product owners, QA, DevOps, and business stakeholders to translate requirements into effective technical solutions.
  • Collaborate effectively with onsite and offshore engineering teams in a distributed environment.
  • Implement automated testing and CI/CD practices to maintain software quality and reliable delivery.
  • Contribute to engineering standards and best practices across development, cloud infrastructure, and AI adoption.
  • Mentor junior and mid-level engineers and encourage technical excellence and responsible use of AI development tools.
  • Diagnose complex technical issues and apply strong analytical and debugging skills to deliver effective solutions.

  Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 7+ years of professional software development experience.
  • Strong hands-on expertise in Java and Python.
  • Proven experience working with Microsoft Azure in enterprise or cloud-native environments.
  • Strong experience with Azure Databricks, Apache Spark, and Delta Lake.
  • Demonstrated experience designing and developing enterprise-grade microservices and REST APIs.
  • Strong understanding of distributed systems and cloud-native architectures.
  • Practical experience with Docker, Kubernetes, CI/CD, and DevOps practices.
  • Proficiency with Git, automated testing frameworks, and Agile software development methodologies.
  • Demonstrated interest or experience in using AI to improve software engineering productivity, code quality, automation, or development workflows.
  • Excellent analytical, debugging, and problem-solving capabilities.
  • Strong verbal and written communication skills.
  • Ability to collaborate effectively with technical and non-technical stakeholders in distributed teams.
  • Ability to mentor other engineers and contribute positively to engineering culture and continuous improvement.
  • Comfortable learning and adopting emerging technologies and modern development practices.

  Benefits:

  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended paternity leave.
  • Partnerships with gyms and health and wellness professionals through Wellhub and TotalPass.
  • Profit Sharing and Results Participation (PLR).
  • Life insurance.
  • Continuous learning opportunities through a dedicated professional development platform.
  • Discount club and employee partnership benefits.
  • Free online resources focused on physical, mental, and overall well-being.
  • Pregnancy and responsible parenting courses.
  • Partnerships with online learning platforms.
  • Language learning platform.
  • Inclusive workplace with dedicated health and well-being support.
  • Inclusion specialists and affinity groups supporting employees throughout their career journey.
  • Opportunities to work with modern AI, cloud, data, and software engineering technologies.
  • Collaborative environment with strong opportunities for professional and technical growth.