CrawlJobs Logo
Vodafone Logo Vodafone · IT - Software Development

GM - Cloud Platform Engineering

India, Pune · Job Posted March 04, 2026
Apply Position
Job Link Share

Job Description

We are seeking a Cloud Practice Lead to design, build, implement, and operate hybrid cloud infrastructure that powers mission‑critical applications across Vodafone’s European markets. The individual will lead the development of scalable cloud platforms, drive cloud migrations and automation, and provide expert support across AWS, GCP, and Azure environments. This role involves managing complex integrations, supporting DevOps adoption, and transforming legacy systems into cloud‑ready and cloud‑native solutions.

Job Responsibility

  • Manage project‑driven integration and day‑to‑day administration of cloud solutions across group datacentres
  • Develop prototypes, design and build cloud platform modules using agile methodologies to deliver optimal business outcomes
  • Conduct peer reviews and uphold coding standards
  • Lead automation and integration activities across AWS, GCP, Azure and multi‑tenant workloads
  • Build and deploy cloud infrastructure using CloudFormation and Terraform
  • Develop automation scripts using Ansible and Python for tasks such as user creation and security hardening
  • Migrate and transform on‑premises applications to public cloud platforms
  • Perform EC2, ECS, VPC and equivalent operations in AWS, GCP and Azure
  • Manage storage solutions including S3, EBS, Glacier and Google Cloud Storage
  • Deploy and resize compute instances in AWS, GCP and Azure
  • Manage ELBs, Elastic IPs and load‑balancing configurations across cloud environments
  • Design and deploy Direct Connect/ExpressRoute links between cloud and datacentre environments
  • Provide on‑call support for cloud infrastructure
  • Train and mentor teams on AWS, GCP and Azure
  • Troubleshoot connectivity, routing, security group issues and compute performance problems
  • Support DevOps culture enablement across the organisation
  • Provide consultancy on cloud‑related programmes and environments
  • Use extensive Kubernetes experience across EKS, GKE, Ingress, Istio, Terraform, containers and networking (CALICO, vxLAN, overlay)
  • Deploy and manage applications using ArgoCD

Requirements

  • Deep expertise in cloud technologies, networking, security and platform engineering across AWS, GCP and Azure
  • Strong experience with AWS services such as VPC, EC2, ECS, S3, EBS, Glacier, ELB and Elastic IPs
  • Proficient with automation solutions including CloudFormation, Ansible, Python, Puppet, Chef and Salt
  • Skilled with DevOps tools such as CodePipeline, Terraform, Docker and Kubernetes
  • Demonstrable experience in setting up VPCs and configuring multi‑tenant AWS organisations
  • Hands‑on GCP expertise including IAM, roles, folder structures, serverless functions, SCC, Forseti and logging/monitoring
  • Experience with GSuite identity, domain management and LDAPS setup
  • Strong Azure AD experience with SSO, MFA, user/group delegation and SaaS integrations
  • Skilled in multiple languages including HTML, CSS, JavaScript, Java, Ruby, SQL, XML, JSON, YAML and Python
  • Experience with AWS Lambda and Azure virtual networking, load balancing, application gateways, NSGs and resource policies
  • Skilled in Azure SQL recovery, data import/export and backup vault creation
  • Strong documentation and communication capabilities
  • Degree in IT with 3 years’ cloud experience or 5 years in enterprise IT
  • Knowledge of ITIL, SOX and security regulations
  • Experience with agile development, web applications, web hosting and DevOps concepts in cloud environments
  • Experience managing highly critical business environments
  • AWS architect/operations certification preferred
  • Telecom industry experience preferred
Vodafone - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

GM - Cloud Platform Engineering

8 matching positions

Senior Software Engineer – Cloud Engineering & FinOps

Work Arrangement: Hybrid: This role is categorized as hybrid. This means the suc...
Location
Location
United States , Austin, Texas; Warren, Michigan
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)
  • 5+ years of hands-on software engineering experience, with a strong focus on building cloud-native applications and platforms
  • Proficiency in modern programming languages: Next.js (or React) for frontend and Go for backend services
  • Strong experience with Docker for containerization and Kubernetes for orchestration
  • Experience designing and building scalable data pipelines, APIs, or backend services in a cloud environment
  • Solid understanding of cloud fundamentals across at least one major provider (Azure, GCP, AWS), including cost structures, billing concepts, and resource optimization
  • Demonstrated ability to write clean, maintainable code, conduct code reviews, and participate in technical decision-making
  • Demonstrated ability to clearly communicate technical and non-technical information verbally and in writing
  • Strong problem-solving skills with the ability to deliver high-quality features quickly in an agile environment
Job Responsibility
Job Responsibility
  • Building FinOps tooling and cloud onboarding experiences that power GM's enterprise-wide cloud transformation
  • Design, develop, and evolve our in-house Cloud Onboarding and FinOps Portal—a modern platform built with Next.js (frontend) and Go (backend services)
  • Creating frictionless developer and team experiences by embedding cost awareness, usage optimization, and governance directly into the cloud onboarding and operational workflows
  • Own key components including: Billing data ingestion pipelines from major cloud providers (Azure, GCP, AWS)
  • Utilization metrics, cost analytics, and optimization recommendation engines
  • Cloud onboarding workflows and frictionless, self-service capabilities
  • Design and build scalable, cloud-native services with speed and quality
  • Lead technical decision-making and architecture discussions
  • Conduct code reviews and uphold high engineering standards across the team
  • Collaborate closely with peer teams to design new features and deliver end-to-end solutions
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - AI Engineering and Productivity

The Role The AI Engineering and Productivity team in the Global Planning, Desig...
Location
Location
United States , Austin; Warren
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience
  • 6+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python , and preferably Angular
  • 3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets
  • Experience building or supporting data pipelines , ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark , or similar)
  • 3+ years of experience with Kubernetes/Docker, Quarkus , and cloud platforms such as Azure, AWS , or GCP
  • Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery
  • Hands on experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions)
  • Willingness and demonstrated ability to learn and apply AI concepts , including working with data and APIs that support AI/ML and LLM based solutions
  • Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions
  • Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders
Job Responsibility
Job Responsibility
  • Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams
  • Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL)
  • Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing
  • Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components
  • Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools
  • Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
  • Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques
  • Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction
  • Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices
  • Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment
What we offer
What we offer
  • Relocation benefits
  • Fulltime
Read More
Arrow Right

Principal Software Engineer - Simulation & Digital Twin Architect

At General Motors, our product teams are redefining mobility. Through a human-ce...
Location
Location
United States , Austin;Warren;Mountain View
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or PhD in Computer Science, Software Engineering, Robotics, Electrical/Computer Engineering, or related field
  • 10+ years of software engineering experience, including principal-level architecture or technical leadership for large-scale, multi-team platforms or systems
  • Deep experience with at least one major 3D or manufacturing simulation environment (e.g., Unity, Unreal, NVIDIA Isaac/Omniverse)
  • Proven track record integrating systems across PLM/CAD, MES/production, PLC/controls, and data/analytics platforms
  • Strong programming skills in C++, C#, Python, or similar, with experience designing APIs, services, and data models
  • Experience with cloud and on-prem environments (e.g., Kubernetes, GPU clusters, data lakes) for high-scale simulation and Digital Twin workloads
Job Responsibility
Job Responsibility
  • Own the end-to-end architecture for GM’s manufacturing Digital Twin & Simulation stack (plant models, AMR/cobot and equipment simulation, material flow, and integrations with PLM, CAD, MES, and data platforms)
  • Define and maintain enterprise reference architectures, APIs, and data contracts used across plants and business units
  • Architect scalable data schemas and pipelines for ingesting and managing plant and floor data for both simulation and operational twins
  • Design modular, distributed simulation architectures that balance fidelity and cost across cloud and on-prem environments (e.g., Kubernetes, GPU clusters, data lakes)
  • Lead cross-functional, multi-team initiatives
  • align teams and vendors to shared architectures and standards
  • Act as a principal technical voice for Digital Twin & Simulation, mentoring senior/staff/principal engineers and influencing technical direction across GM
What we offer
What we offer
  • Relocation benefits
  • Fulltime
Read More
Arrow Right

Group Finance Manager, Core AI

Empower every person and organization on the planet to achieve more. That’s what...
Location
Location
United States , Redmond
Salary
Salary:
116900.00 - 203600.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR equivalent experience.
Job Responsibility
Job Responsibility
  • Own margin strategy for AI Foundry Platform: Lead GM% planning, target setting, performance tracking across model and infrastructure layers
  • drive accountability for margin outcomes
  • Drive model and infrastructure efficiency at scale: Identify and execute levers across model architecture, inference optimization (e.g., token efficiency, caching, throughput), and GPU utilization to reduce unit cost of AI workloads
  • Translate engineering decisions into financial impact: Build frameworks that connect model parameters, operating points, and infra choices to cost, pricing, and long-term margin trajectories
  • Partner deeply with engineering and product leaders: Influence roadmap decisions by embedding cost and efficiency into model design, deployment strategy, and platform architecture
  • Optimize end-to-end cost of ownership: Work across model engineering, AI infra/GPU platform, datacenter operations, and hardware roadmap to drive structurally lower cost per unit of compute
  • Lead demand, capacity, and investment planning: Align demand forecasts, capacity allocation, and efficiency assumptions to ensure capital is deployed effectively and supports growth with margin discipline
  • Drive executive insights and decision support: Deliver clear, data-driven narratives (e.g., GM% bridges, efficiency tracking, ROI of initiatives) to senior leadership to inform investment and prioritization decisions
  • Establish operating rhythms and governance: Build mechanisms to track efficiency commitments, monitor delivery vs. plan, and ensure cross-functional accountability.
  • Fulltime
Read More
Arrow Right

Technical Lead - Simulation Platform (Galileo)

Technical Lead - Autonomous Driving Evaluation Infrastructure. Role Overview: As...
Location
Location
United States
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in Computer Science, Robotics, or equivalent experience
  • A demonstrated track record of building high quality software and a focus on the customer through operational excellence
  • Broad exposure to the end-to-end product engineering stack, from frontend to infrastructure
  • Experience with SOA or microservice-based architectures, large scale distributed systems, and common cloud platforms like AWS/GCP
  • Strong organizational and communication skills
  • Self-motivation and passion to lead, mentor, encourage best practices, and constantly improve
  • Familiarity with Python, Go, Node, React or other web development framework/languages
  • PostgreSQL (or similar relational database) and data warehouse technologies like BigQuery or Amazon Redshift
  • Passion for self-driving technology and its potential impact on the world
Job Responsibility
Job Responsibility
  • Act as technical architect, help define technical vision and strategy, and ensure the technical direction of your team aligns with broader company objectives
  • Design and implement systems capable of supporting simulating millions of miles of driving every day to predict on-road performance
  • Improve and deliver reliable software through continuous integration, automated testing, and code reviews
  • Drive software engineering best practices within your team and develop tools that promote these standards company-wide
  • Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting
  • Help define, build, and embody GM engineering culture and principles
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Mapping

This role is based remotely but if you live within a 50-mile radius of [Austin, ...
Location
Location
United States
Salary
Salary:
185100.00 - 335300.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience designing, implementing, and operating scalable distributed systems in production
  • Bachelors degree in related field or relevant work experience
  • Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals
  • Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA)
  • Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure
  • Experience with data orchestration pipelines and ETL mechanisms (eg. airflow)
  • BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience
  • Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers
Job Responsibility
Job Responsibility
  • Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping
  • Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release
  • Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions
  • Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability
  • Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation
  • Diagnose and resolve large-scale system issues across services, data pipelines, and production environments
  • Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV
  • Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org
What we offer
What we offer
  • medical
  • dental
  • vision
  • Health Savings Account
  • Flexible Spending Accounts
  • retirement savings plan
  • sickness and accident benefits
  • life insurance
  • paid vacation & holidays
  • tuition assistance programs
  • Fulltime
Read More
Arrow Right

Cost Engineer – Data Analytics

The Program and Purchase Cost Optimization (PPCO) team at General Motors is seek...
Location
Location
United States , Warren
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ability to translate ambiguous business questions into well-defined analytical and data engineering problems, and communicate findings and recommendations in a clear, structured manner to technical and non-technical stakeholders
  • Bachelor’s degree in computer science, engineering, statistics, mathematics, physics, or a related quantitative field (advanced degree preferred)
  • 5+ years in data analytics (could be data science, research, or machine learning)
  • Python proficiency (e.g., pandas, NumPy, scikit-learn, PySpark)
  • SQL proficiency
  • Experience with Databricks, Spark, and/or other cloud-based data platforms for large-scale data processing
  • Experience designing and implementing ETL/ELT pipelines that integrate data from multiple transactional and analytical systems
  • Strong skills in EDA to understand data quality, structure, and relationship
  • Practical experience developing predictive models and machine learning (regression methods, Clustering and segmentation, random forests, gradient boosting)
  • Solid problem-solving skills and the ability to convert business questions into data and modeling problems with clear hypotheses and success criteria
Job Responsibility
Job Responsibility
  • Design and maintain data models and curated datasets (relational schemas, dimensional models, and feature characterizations) that support PPCO analytics and efficient downstream consumption for reporting in tools such as Power BI (while not being primarily responsible for dashboard design)
  • Query, integrate, and engineer data from multiple enterprise systems and relational databases, and design, build, and operate robust ETL/ELT pipelines (e.g., Databricks/Spark) to produce unified, analysis-ready datasets with appropriate data quality checks, validation, and monitoring
  • Perform in-depth EDA on large, heterogeneous datasets, engineer derived features (characterizations, aggregations, encodings), and understand data distributions, identify anomalies, and uncover data quality risks and insight to address by the business team
  • Develop and validate predictive machine learning models and descriptive models (regression, clustering, decision trees, random forests, gradient boosting, time-series/panel models), utilizing existing data to predict product attributes (geometries, cost, economic indicators) from known input parameters and historical patterns
  • Enable system integration across the GM ecosystem by designing the data pipelines, workflow automation and data transformation to take data from one system and turning it into a consumable format for the destination system
  • Automate and optimize existing cost engineering workflows by building scalable, Python-based data and analytics tools
  • Work across functional boundaries, including Engineering, Program Management, R&D, Finance, and Purchasing, to understand data sources, business logic, and use case
  • Fulltime
Read More
Arrow Right

Staff Software Engineer – Developer Experience

Remote or Hybrid: This role can be remote US or hybrid in our Warren MI or Austi...
Location
Location
United States , Warren
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in software development
  • Strong proficiency in at least one modern language (e.g., Java, Go, C#, Python, TypeScript) and in designing, building, and operating distributed systems in production
  • Deep experience designing and operating modern CI/CD pipelines and release processes, including build, test, deploy, release strategies, rollback, and environment promotion
  • Hands-on experience with developer platforms and SDLC tooling (e.g., GitHub/GitLab, CI/CD systems, Jira/ADO, artifact repositories, secrets management, feature flags)
  • Solid understanding of at least one major cloud platform (Azure/AWS/GCP) and infrastructure as code (Terraform, Bicep, CloudFormation, etc.)
  • Strong understanding of security, compliance, and governance concerns for developer platforms (RBAC, auditability, data boundaries)
  • Experience with migration and modernization (on-prem → cloud, legacy → modern pipelines, tool consolidation)
Job Responsibility
Job Responsibility
  • Lead technical strategy and delivery for platforms, tools, and workflows that improve developer productivity, quality, and satisfaction across GM
  • Design and implement golden paths (opinionated, paved-road workflows) for shipping software—covering repo structure, CI/CD, testing, security, observability, and deployment
  • Build automation and self-service capabilities that reduce manual toil (e.g., environment provisioning, pipeline setup, guardrail enforcement, standards checks)
  • Embed AI into engineering workflows, including agents and copilots that assist with planning, coding, testing, documentation, and operations
  • Partner with product, security, infra, and application teams to understand pain points and translate them into concrete platform and tooling improvements
  • Act as a multiplier and mentor across the organization, coaching engineers and providing guidance on software engineering, AI-assisted development, and recommended practices
  • Define and track outcome-focused metrics (e.g., lead time for changes, PR cycle time, change failure rate, developer satisfaction) and use data to guide investments
  • Contribute to and influence engineering standards, patterns, and reference architectures used across Core IT and beyond
  • Fulltime
Read More
Arrow Right