Description

Top Mandatory Skills and Experience:
- 8+ years of experience
- AI and ML experience
- Bachelor degree Computer Science
- Hands-on SW development experience
- Coaching experience
- TDD, Java and/or Python

All you'll need for success
• Minimum Qualifications- Education & Prior Job Experience
• Bachelor's degree in computer science or related discipline or an equivalent combination of education and work experience
• 4+ years of relevant work experience in an agile environment
• Demonstrated expertise in at least one object-oriented language.
• Previous experience supporting high performing Agile / DevOps teams.
• Past experience coaching or mentoring others, in any context.
• Hands-on experience with engineering practices such as object-oriented design patterns, Extreme Programming, cloud design patterns, TDD, BDD, refactoring, and automation
• Experience with Continuous Integration and Continuous Delivery
• Expertise in Agile methodologies like Extreme Programming, Kanban, or Scrum
• Experience with implementing and operating DevOps tools/platforms across some part of the development lifecycle.
• Working experience deploying and supporting business-critical, Internet scale distributed systems or high-volume client/server systems
• Proven experience in SQL and ability to design relational database schemas
• Ability to scrutinize provided architectures and suggest optimizations for deployment and minimizing the cost of change.
Preferred Qualifications- Education & Prior Job Experience
• Experience building continuous integration/deployment pipelines.
• Experience with any of the following:
• The Testing Pyramid and how to effectively apply it
o Multi-threading and concurrency
o Debugging, performance profiling and optimization
o Object-oriented and service-oriented application development patterns
• Experience with native/cross-platform Mobile development
• Adept and comfortable communicating with team members and external business stakeholders of all levels
• Demonstrated ability to find creative ways of improving and simplifying solutions, systems, and processes without getting bogged down in blockers or bottlenecks.
• Experience in modern and classical neural networks including LLMs, CNNs and RNNs, Agentic AI and Autonomous Agents, RAG architecture, and MLOPs
Skills, Licenses & Certifications
• Proficiency with the following technologies:
o Programming Languages: Java, Python, C#, Javascript/Typescript
Frameworks: Spring/SpringBoot, FastAPI
o Front End Technologies: Angular/React
o Deployment Technologies: Kubernetes, Docker
o Source Control: GitHub, Azure DevOps
o CICD: GitHub Actions, Azure DevOps
o Data management: PostgreSQL, MongoDB, Redis
o Integration/APIs Technologies: Kafka, REST, GraphQL
o Cloud Providers such as Azure and AWS
o Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
• Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity.
• Ability to concisely convey ideas verbally, in writing, in code, and in diagrams.
• Proficiency in object-oriented design techniques and principles
• Proficiency in Agile frameworks and methodologies
• Proficiency in DevOps Toolchain

Key Skills

Education

Any Graduate