01Responsibilities
- CI/CD & Automation
- Design, implement, and maintain CI/CD pipelines for build, test, and deployment automation
- Improve deployment frequency, reliability, and rollback capabilities
- Integrate quality gates, security scans, and automated testing into pipelines
- Infrastructure & Cloud Management
- Provision and manage cloud infrastructure using Infrastructure as Code (IaC)
- Ensure high availability, scalability, and disaster recovery
- Optimize cloud resource utilization and costs
- Containerization & Orchestration
- Containerize applications using Docker or equivalent tools
- Manage container orchestration platforms such as Kubernetes
- Implement deployment strategies (rolling, bluegreen, canary)
- Configuration & Workplace Management
- Automate system and application configuration
- Maintain consistency across development, testing, and production environments
- Prevent configuration drift
- Security & Compliance (DevSecOps)
- Embed security best practices into CI/CD pipelines
- Manage secrets, certificates, and access controls
- Perform vulnerability scanning and remediation
- Collaboration & Continuous Improvement
- Work closely with development and QA teams to improve developer experience
- Promote DevOps best practices, automation, and reliability engineering
- Document systems, processes, and operational runbooks
- AI Focus
- Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies like Generative AI, Large Language Models, RAG, Reinforcement learning, Agentic AI
- Communicating analytics model behavior/results to Stakeholders
- Carrying out technical risk analysis and reliability assessments
- AI User Responsibilities
- Uses GitHub Copilot to speed up the creation of boilerplate code
- Uses M365 Copilot to recap meetings and draft emails
- Uses a chat-based AI tool to debug code
- Uses GenAI to create sample test data or test cases
- Uses StoryCraft to streamline the creation of user stories
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- 5 years of experience with Agile/Lean software development practices
- 3 years of experience with cloud environments and architecture, preferably Azure or GCP
- Experience automating CI/CD pipelines and working with source control systems such as Git and GitHub
- Hands-on experience with JavaScript, TypeScript, React, SQL databases, Docker, Kubernetes, and modern web application development
- Solid experience developing applications and services using Python and modern API development practices
- Experience designing, building, and supporting scalable, secure, enterprise-grade applications using modern architecture patterns, microservices, and service-oriented architectures
- Hands-on experience designing, developing, and deploying production applications that integrate Large Language Models (LLMs), generative AI services, AI agents, or intelligent automation capabilities
- Experience implementing AI application patterns such as Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, semantic search, conversational AI, or knowledge-grounded AI solutions
- Proficient engineering experience building infrastructure using Infrastructure as Code (Terraform preferred)
- Proficient use of AI-assisted development tools to improve engineering productivity and software quality
- Demonstrated ability to lead technical initiatives, mentor engineers, conduct code reviews, and drive engineering best practices across teams
- Proven solid verbal and written communication skills with the ability to .
