Software Engineer

Position Description: Software Engineer The Global Data Insight & Analytics organization is looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains within Customer , enabling smarter decision-making, enhancing customer experiences, and optimizing operations. Position Responsibilities: • Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture. • Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions. • Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments. • Maintain and manage current CI/CD ecosystem and tools. • Find ways to automate and continually improve current CI/CD and release processes. • Examine, inspect code and scripts, and resolve issues across the full application stack. • Help innovate and standardize development practices for building cloud-native AI products. • Experiment, innovate and share knowledge with the team. • Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery. • Leverage latest ML / GenAI / agent frameworks to build complex AI workflows. Basic Qualifications: • A Bachelor's degree in Computer Science / Computer Engineering or a similar technical discipline. • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. • 2+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure). • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery etc. • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++. • Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django). • Experience/understanding in MLOPs, Gen AI, AI agents. • Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. • Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc. • Experience in container management solutions: Kubernetes, Docker. • Experience with scripting language: Bash, PowerShell etc. • Experience with Infrastructure as Code: Terraform etc. Desired Skills: • A Master's degree focused in Computer Science / Machine Learning or a related field. • Experience working with Google Cloud Platform (GCP) - specifically a broad range of compute, data and messaging services like GKE, CloudSQL, BigQuery, Firestore, Pub/Sub, Memorystore, and Elasticsearch. • Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, CrewAI etc. • Experience building and deploying serverless applications on Cloud Run. • Experience in programming concepts such as Paired Programming, Test-Driven Development, etc. • Knowledge of coding and software craftsmanship practices. • Must be a quick learner and open to learning new technology. • Experience applying agile practices to solution delivery. • Must be team-oriented and have excellent oral and written communication skills. • Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Skills Required: Python, GCP, REST APIs, Full Stack Skills Preferred: Machine Learning, Artificial Intelligence & Expert Systems, Tekton, GitHub, Docker, Kubernetes Experience Required: 6+ years in IT; 4+ years in developmentEngineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. Experience Preferred: 0 Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Safety Training/Licensing/Personal Protection Requirements: dditional Information :
Position Overview : Software Engineer The Global Data Insight & Analytics organization is seeking a Software Engineer to lead and advance our internal Data Science and AI/ML platform strategy. In this role, you will be part of a dynamic, cross-functional team, collaborating closely and consistently with other engineers, business partners, product managers, and designers. You will be involved in frequent and iterative releases. Your focus will be on software engineering, specifically in developing machine learning and generative AI applications, as well as creating reusable AI/ML components. Position Responsibilities • Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company. • Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems. • Maintain and mange current CI/CD ecosystem and tools • Find ways to automate and continually improve current CI/CD processes and release processes • Examine, inspect codes / scripts and resolve issues • Help innovate standardize machine learning development practices. • Experiment, innovate and share knowledge with the team. • Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. • Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies Skills Required: • A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline. • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. • 2+ years of experience with Cloud Engineering / Services • Experience in MLOPs and Gen AI - LLM, Development experience with building RAG and Multi Agent Application • Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++ • Experience in DevOps: Jenkins/Tekton etc. • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. • Experience in container management solution: Kubernetes, Docker • Experience in scripting language: Bash, PowerShell etc. • Experience with Infrastructure as code: Terraform etc Skills Preferred: • Master focused in Computer Science / Machine Learning or related field • Experience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructure • Experience in programming concepts such as Paired Programming, Test Driven Development, etc. • Knowledge of coding and software craftsmanship practices. • Must be a quick learner and open to learning new technology. • Experience applying agile practices to solution delivery. • Must be team-oriented and have excellent oral and written communication skills. • Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Experience Required: • A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline. • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. • 2+ years of experience with Cloud Engineering / Services • Experience in MLOPs and Gen AI - LLM, Development experience with building RAG and Multi Agent Application • Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++ • Experience in DevOps: Jenkins/Tekton etc. • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. • Experience in container management solution: Kubernetes, Docker • Experience in scripting language: Bash, PowerShell etc. • Experience with Infrastructure as code: Terraform etc Experience Preferred: • Experience and good understanding of GCP, DevOPs, AI/ML and GEN AI Education Required: • A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline. Education Preferred: dditional Safety Training/Licensing/Personal Protection Requirements: