Full-Time
Cloud Migration Engineer
Accenture
10,001+ employees
Global professional services and technology consulting
No salary listed
Bengaluru, Karnataka, India
In Person
 DevOps & Infrastructure (1) |
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- Cloud Network Implementation
- Minimum 5 year(s) of experience is required
- Educational Qualification: 15 years full time education
- 5 8 years of experience in cloud and hybrid networking
- Proven experience designing and implementing advanced multi-cloud network solutions
- Strong exposure to AI / GenAI-assisted automation and network optimization
- Experience working in large-scale enterprise or SI-led environments
- Python (Programming Language) advanced scripting, automation, API integrations, AI workflows
- Ansible configuration management and orchestration
- Terraform for network Infrastructure as Code
- Advanced cloud networking across AWS, Azure, Google Cloud Platform, OpenShift
- Strong fundamentals in TCP/IP, BGP, routing, segmentation, and security
- Candidates must hold at least TWO (2) Professional-level Cloud Certifications (AWS, Azure, Google Cloud Platform, HashiCorp Terraform) and specific named certifications
- Terraform Certification - Terraform Associate (Mandatory)
- Lead implementation of advanced cloud networking solutions, including: Transit Gateways, Global VPC/VNet peering, Hybrid and multi-cloud interconnects
- Design and build AI-assisted network solutions for routing optimization, fault detection, and performance tuning
- Translate High-Level Designs (HLDs) into actionable Low-Level Designs (LLDs) and implementation plans
- Lead deployment and troubleshooting of: Network Virtual Appliances (NVAs), Firewalls, SD-WAN and routing components
- Perform capacity planning and traffic analysis, using AI/ML insights to predict growth and optimize performance
- Lead resolution of high-impact network incidents, including RCA and post-incident improvements
- Ensure security, compliance, and governance controls are embedded into network implementations
- Mentor junior engineers and contribute to standardization and knowledge sharing
- Design and implement cloud-native networking constructs: VPC / VNet / GCP VPC, Subnets, routing tables, gateways, Segmentation and isolation strategies
- Validate and peer-review LLDs for operational feasibility and scalability
- Implement and test virtual networking components across regions and accounts
- Ensure network architectures support AI/ML workloads, latency-sensitive applications, and high-throughput data paths
- Deploy and optimize: Site-to-Site VPN, Client VPN, Direct Connect/ExpressRoute/Cloud Interconnect
- Integrate third-party NVAs: Firewalls, SD-WAN, Proxies
- Validate encryption, authentication, routing policies, and failover mechanisms
- Coordinate with vendors and partners for issue resolution and optimization
- Develop and maintain Infrastructure as Code (IaC) for network provisioning using: Terraform, Ansible, CloudFormation / ARM / Bicep
- Integrate network automation into CI/CD pipelines
- Review IaC developed by junior engineers for Accuracy, Scalability, Security compliance
- Use AI/GenAI tools to Validate configurations, detect drift, Recommend optimization actions
- Lead troubleshooting of complex hybrid and multi-cloud network issues
- Perform diagnostics using Flow logs, Packet captures, Telemetry and monitoring tools
- Implement AI-driven performance tuning strategies based on traffic patterns and latency metrics
- Author RCA reports and continuously improve network reliability
- Implement and manage ALB / NLB/Azure Application Gateway/GCP Load Balancers
- Configure advanced routing Path-based routing, Header-based routing, iRules
- Validate routing logic against application and security requirements
- Analyze existing firewall rules, NAT policies, and load balancer configurations
- Translate legacy configurations into cloud-native equivalents
- Maintain version-controlled repositories of network configurations
- Use Python and AI-assisted automation for configuration discovery and migration
- Ensure network implementations meet enterprise compliance and regulatory requirements
- Implement tagging, logging, and policy enforcement mechanisms
- Detect configuration drift and enforce consistency across environments
- Collaborate with governance and security teams for audit readiness
- Use Generative AI to analyze network telemetry, assist in design decisions, recommend routing and segmentation strategies
- Hands-on experience with LLMs, Embeddings, Vector databases
- Apply Agentic AI frameworks to automate diagnostics, trigger self-healing actions, optimize network operations
- Strong understanding of AI lifecycle, ML fundamentals, NLP concepts for intent-based networking
- Proficient in prompt engineering and AI evaluation techniques
- Two (2) Professional-level Cloud Certifications are required; however additional certifications listed as desirable: AWS Certified Advanced Networking Specialty, Cisco CCNP / CCIE, Palo Alto PCNSE / Fortinet NSE, VMware NSX-T Certification, Avi Networks NSX Advanced Load Balancer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS), Red Hat OpenShift Specialist, Ansible Automation Platform Certification, Azure DevOps Engineer Expert (AZ-400), GitHub Actions (GH-200), AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, Azure AI Engineer Associate, Vendor-neutral GenAI / LLM certifications, 15 Year of Education to be completed - AI Ready.
Accenture is a global professional services firm that helps companies navigate technology-driven change. It offers strategies and services across consulting, digital, technology, and operations, with a strong emphasis on cloud, artificial intelligence, security, and enterprise reinvention. Accenture works by delivering end-to-end solutions, combining advisory work with implementation, technology platforms, and managed services to transform how organizations operate and compete in today’s digital world. The company differentiates itself through its long history as a dedicated tech-advisory arm that gained independence in 2001, its scale, and its active acquisitions—particularly since 2013—to expand capabilities in digital, cloud, and security. Its goal is to help the world’s largest corporations rethink and reshape their operations to stay ahead of rapid technological shifts.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
Simplify's Take
What believers are saying
- NVIDIA Inception partnership accelerates AI startups to enterprise scale.
- Google Cloud Gemini program delivers pre-built AI agents for clients.
- Federal Services secures $5.3B VA and weather contracts through 2030.
What critics are saying
- ServiceNow partnership embeds engineers, capturing Accenture's implementation work.
- Google Cloud accesses Accenture's AI agents, commoditizing proprietary IP.
- Portfolio startups compete directly, eroding core consulting revenues by 2028.
What makes Accenture unique
- Accenture Ventures deploys 5 I’s of Innovation lifecycle for 50,000 startups.
- Accenture Ventures manages $250M fund with 70+ AI, SaaS investments.
- Accenture Ventures Tech Next Challenge spotlights Autonomous AI startups.
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People at Accenture who can refer or advise you
Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Oakmark Fund highlighted Accenture in its first-quarter 2026 investor letter, identifying the professional services company as undervalued despite strong fundamentals. The fund outperformed the S&P 500 Index, returning -2.47% versus -4.33% for the index. Accenture, a global leader in consulting and IT services, is nearly three times larger than its next three public competitors combined. The company's top 300 clients spend over $100 million annually, and it is positioned to benefit from enterprise cloud transition and growing technology spending. Despite these strengths, Accenture trades at its lowest price-to-earnings multiple since 2015 due to AI disruption concerns. The stock closed at $191.95 on 13 April 2026, with a market capitalisation of $117.75 billion. Seventy-one hedge funds held positions in the company at the end of Q4.
Accenture and Google Cloud have launched a Sovereign Centre in Brussels to help European governments and regulated sectors adopt AI whilst maintaining data control and regulatory compliance. The facility features Google Distributed Cloud air-gapped technology for organisations with strict sovereignty requirements. The centre enables organisations to design and validate AI solutions in secure environments, modernise legacy systems, and develop workforce skills. It provides a collaborative space for independent software vendors and partners to create proofs of concept and co-innovate on sovereign cloud applications. The launch follows growing European efforts to reduce dependence on non-European technology platforms. Recent initiatives include France's Visio videoconferencing tool and Germany's openDesk suite, whilst a coalition of European tech players recently launched Euro-Office as an open-source alternative to Microsoft's productivity suite.
Accenture Federal Services, a subsidiary of Accenture plc, has secured significant government contracts that strengthen the company's long-term growth prospects, according to UBS analyst Kevin McVeigh, who maintained a Buy rating with a $320 price target. AFS generated approximately $5.3 billion in fiscal year 2025, representing 8% of Accenture's total revenue. The unit recently won a 4.5-year contract with the US Department of Veterans Affairs to modernise electronic health records for over 9 million veterans, alongside a separate contract to upgrade the National Weather Service's weather system. McVeigh noted these multi-year contracts provide visibility as AFS recovers from recent budget pressures and government spending cuts. The subsidiary employs around 15,000 people and focuses on mission-critical technology solutions for US government agencies.
Accenture has acquired Keepler Data Tech, a Spanish cloud-native AI and data company founded in 2018, to expand its AI and data capabilities in Spain and beyond. Financial terms were not disclosed. Keepler offers end-to-end AI and data services, from strategy and cloud-native data foundations to advanced analytics and agentic AI deployment. The company focuses on industrialised delivery, ethics and compliance to help organisations modernise data architecture and implement DataOps and MLOps at scale. More than 240 Keepler professionals, including technical architects, data scientists and software engineers, will join Accenture. The company has offices in Madrid, London and Lisbon. The acquisition follows Accenture's recent purchases of AI companies including Faculty, Decho, RANGR Data, NeuraFlash and Halfspace as part of its ongoing investment in AI capabilities.
Accenture has raised $120 million in a Series C round led by Ribbit Capital, valuing the company at $1.45 billion. Sequoia and Kleiner Perkins participated, with Emerson Collective joining as a new backer. The pre-revenue company is developing "Mathematical Superintelligence", focused on advanced reasoning that eliminates AI hallucinations by requiring outputs in Lean4 programming language for verification. Its Aristotle model achieved top performance at the International Mathematical Olympiad in July. Founded in 2023, Harmonic has raised $295 million across three rounds in 14 months. The company offers Aristotle via free API and plans to commercialise in safety-critical industries like aerospace and finance, where mistakes carry severe consequences.