CrawlJobs Logo

Sr. Solution Engineer - Cloud & AI Infrastructure

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
Indonesia , Jakarta

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Are you curious, enthusiastic about infrastructure, and ready to solve complex challenges in the AI era? Join us as a Sr. Solution Engineer - Cloud & AI Infrastructure focused on the Azure Platform for commercial customers at Microsoft. In this technical sales role, you will help customers design secure, scalable, and resilient cloud architectures that support their modernization goals in era of AI. Using Azure’s IaaS and PaaS services, you will guide organizations through migration, modernization, optimization, and innovation—translating technical capabilities into significant business outcomes. You will also collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure. As a Sr. Solution Engineer - Cloud & AI Infrastructure, you will play a key role in helping customers modernize their infrastructure and unlock the full value of Microsoft’s cloud. You will work directly with technical and business stakeholders to design and implement secure, scalable, and resilient architectures that support AI workloads and business-critical applications. You will bring deep expertise in migrating core workloads—including Windows, SQL Server, Linux, PostgreSQL, and Oracle—to Azure. Beyond migration, you'll lead customers through modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc, while exploring how AI and intelligent agents can accelerate legacy transformation. You will also apply strong networking knowledge to design hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures that meet enterprise performance and compliance needs. You complement this with trusted partner solutions like NetApp, VMware, RedHat, and SAP to ensure a secure, optimized, and scalable migration experience. As you join the team, You will have the opportunity to grow your technical expertise with access to a wide range of Microsoft learning resources—including support for earning industry-recognized certifications across Azure infrastructure, security, and AI. With a solid understanding of Azure security services and compliance frameworks, you will help customers meet regulatory requirements and build Cloud environments that are ready for the future.

Job Responsibility:

  • Drive technical sales by using technical demos, proofs of concept, and technical architecture accelerators to influence solution design and enable deployments
  • Lead architecture sessions and technical workshops to accelerate Azure adoption
  • Build trusted relationships with platforms leads to co-design secure, scalable solutions
  • Resolve technical blockers by collaborating with engineering and sharing customer insights
  • Maintain expertise in cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance
  • Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS)
  • Represent Microsoft in customer forums and technical communities through thought leadership
  • Be the Voice of Customer to share insights and best practices, connect with the Engineering team to remove key blockers and drive product improvements
  • Identify and Support the creation of new pipeline within customer engagements in collaboration with the Specialist
  • Embody our culture and values

Requirements:

  • 6+ years of technical pre-sales or technical consulting experience
  • OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience
  • OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience
  • OR equivalent experience
  • Familiarity with enterprise platforms such as SAP, Oracle, and ISVs like NetApp, VMware, and RedHat
  • Knowledge of regulatory frameworks and Public Sector compliance standards
  • Proven experience in cloud infrastructure, including migration of workloads such as Windows, SQL, Linux, and PostgreSQL
  • Experience designing or selling solutions involving hybrid networking, secure connectivity, or network performance optimization in enterprise environments
  • Hands-on experience with Azure Kubernetes Service (AKS), App Platform, and containerization strategies
  • Strong understanding of Azure services, including security, compliance, and hybrid cloud scenarios
  • Ability to engage technical and business stakeholders to design and deploy scalable, secure cloud solutions
  • Excellent Communicator: Demonstrates executive presence, presentation skills, deep technical product demo abilities, written and verbal communication skills
  • Collaborative: Works cohesively with customers, the Microsoft account team, and Microsoft partners
  • Relationship Building: Proven track record of building deep technical relationships with senior executives

Additional Information:

Job Posted:
March 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Sr. Solution Engineer - Cloud & AI Infrastructure

Sr. Forward Deployed Engineer - Private Cloud, Data & AI Enterprise Solutions

As a Sr. Forward Deployed Engineer (Sr. FDE) at Rackspace Technology, you will b...
Location
Location
United States
Salary
Salary:
Not provided
rackspace.com Logo
Rackspace
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field
  • 10+ years in software engineering, data engineering, or AI/ML delivery
  • at least 4+ years in customer-facing or field roles
  • Proven track record in building and deploying AI/ML applications in production at enterprise scale
  • Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases
  • Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks
  • Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns
  • Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures
  • Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines
  • Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration
Job Responsibility
Job Responsibility
  • Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site
  • Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications
  • Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks
  • Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization
  • Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes)
  • Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks
  • Develop and fine-tune LLM/SLM solutions
  • implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI)
  • Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management
  • Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production
  • Fulltime
Read More
Arrow Right

Sr. Engineer, ML Platform

As the leading delivery platform in the region, we have a unique responsibility ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
deliveryhero.com Logo
Delivery Hero
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
  • Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
  • Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
  • Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
  • Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
  • Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
  • Familiarity with SQL and data warehouse modeling
  • capable of managing complex data queries, joins, aggregations, and transformations
  • Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
  • Bachelor’s degree in Computer Science, Engineering, or a related field
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
  • Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
  • Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
  • Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
  • Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
  • Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
  • Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
  • Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
  • Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
  • Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement
  • Fulltime
Read More
Arrow Right

Sr. Partner Solution Architect - Digital & App Innovation

The Partner Solution Architect (PSA) – Digital Apps & Innovation is a senior, pa...
Location
Location
South Africa , Johannesburg
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, or a related field AND proven experience in application development, solution architecture, cloud consulting, or technical consulting
  • OR Master’s Degree in a related field AND demonstrated experience in technical consulting, solution design, or technical pre‑sales
  • OR Equivalent industry experience
  • Strong experience designing or architecting modern application solutions on cloud platforms
  • Hands‑on or architectural knowledge of: Cloud‑native application platforms (App Service, AKS, containers, serverless)
  • Application integration and APIs
  • DevOps, CI/CD, and developer productivity tooling (GitHub)
  • Application security, resiliency, observability, and governance
  • Solid understanding of cloud‑native design patterns, microservices, and platform engineering concepts
  • Experience working with technology partners, system integrators, ISVs, or consulting organizations
Job Responsibility
Job Responsibility
  • Serve as a trusted technical advisor to strategic and high‑growth partners across CEMA, spanning mature, emerging, and developing cloud markets, delivering modern application solutions on Azure
  • Adapt architectural guidance to regional customer needs, regulatory considerations, and varying levels of cloud and application maturity
  • Guide end‑to‑end application architecture across web, mobile, and backend services, including cloud‑native, microservices, and event‑driven patterns
  • Support partners in aligning their application roadmaps with Microsoft Digital Apps & Innovation priorities, including application modernization, developer productivity, platform engineering, and AI‑enabled apps
  • Support the design and validation of partner solutions using: Azure App Service, Azure Kubernetes Service (AKS), containers, and serverless technologies
  • Application integration with API Management, messaging, and event‑driven architectures
  • DevOps and platform engineering practices leveraging GitHub, CI/CD pipelines, and Infrastructure as Code
  • AI‑enabled application scenarios using Azure AI Services and Azure OpenAI
  • Lead architecture reviews, technical deep dives, whiteboarding sessions, and proof‑of‑concept or MVP engagements
  • Ensure partner solutions follow Microsoft best practices for performance, scalability, security, reliability, and cost optimization using the Well‑Architected Framework
  • Fulltime
Read More
Arrow Right

Sr Devops Engineer - Cloud(Python, Azure)

Scope: Core responsibilities include designing, developing, and maintaining appl...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
blueyonder.com Logo
Blue Yonder
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, or related discipline (or equivalent hands-on experience)
  • 5–7 years of combined DevOps + Development experience
  • Experience in: Azure Cloud and Azure AI Foundry (model deployment, agent operations, flow orchestration)
  • Microservices development (Java/Python/Node.js)
  • CI/CD automation (GitHub Actions)
  • Kubernetes, Docker, container-based deployments
  • Infrastructure as Code using Terraform
  • REST API design and integration
  • SQL and distributed data platforms (Snowflake preferred)
  • Expertise in: Azure Foundry workspace setup, model region support, model/agent lifecycle
Job Responsibility
Job Responsibility
  • Design, develop, and maintain backend services and cloud-native applications
  • Build and automate CI/CD pipelines for both application code and AI Foundry models/agents
  • Automate cloud infrastructure provisioning using Terraform
  • Manage Azure Foundry deployments, including model endpoints, agent workflows, service configurations, and lifecycle tracking
  • Deploy containerized workloads on Kubernetes (AKS) and manage Helm-based releases
  • Implement monitoring, alerting, and observability for applications, Foundry agents, and pipelines
  • Perform debugging, root-cause analysis, and environment support for production systems
  • Integrate automation tests and validation steps into CI/CD pipelines
  • Collaborate with product, AI, and engineering teams to build scalable and reliable solutions
  • Maintain strong coding standards, security best practices, and version control discipline
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - Together Cloud Infrastructure

Together AI is building the AI Acceleration Cloud, an end-to-end platform for th...
Location
Location
United States , San Francisco
Salary
Salary:
160000.00 - 230000.00 USD / Year
together.ai Logo
Together AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
  • 5+ years experience writing high-performance, well-tested, production quality code
  • Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
  • Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
  • Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
  • Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
  • Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
  • Experience with Cluster API or similar a big plus
  • Experience working on high-performance compute, networking, and/or storage a big plus
  • Experience virtualizing GPUs and/or Infiniband a big plus
Job Responsibility
Job Responsibility
  • Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning
  • Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs
  • Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining
  • Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining
  • Perform architecture and research work for decentralized AI workloads
  • Work on the core, open-source Together AI platform
  • Create services, tools, and developer documentation
  • Create testing frameworks for robustness and fault-tolerance
What we offer
What we offer
  • competitive compensation
  • startup equity
  • health insurance
  • other benefits
  • flexibility in terms of remote work
  • Fulltime
Read More
Arrow Right

Sr. Engineer - Performance AI/ML Network Deployment Engineering

The Principal Engineer DC GPU AI/ML Advanced Forward Deployment and Systems Engi...
Location
Location
United States , Santa Clara
Salary
Salary:
187280.00 - 280920.00 USD / Year
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expertise in networking and performance optimization for large-scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements
  • Solid, hands-on expertise in at least one or more of 3 domains, namely compute, network, storage
  • Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
  • Deep experience in working with large customers such as Cloud Service Providers and global enterprise customers
  • Proven leadership in engaging customers with diverse technical disciplines in avenues such as Proof of Concept, Competitive evaluations, Early Field Trials etc.
  • Direct experience in working with large customers and can operate with sense of urgency, own the problems and resolve it
  • Extensive experience in Python, Linux, Kernel modules, Application libraries
  • Proven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends
  • Extensive hands-on Network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista Experience is required
  • Direct, co-development/deployment experience in working with strategic customers/partners in bringing solutions to market
Job Responsibility
Job Responsibility
  • Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, Internal teams to accelerate the deployment, adoption of various AI/ML models
  • Engage system-level triage and at-scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability
  • Drive the ramp of Instinct-based large scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads
  • Enhance tools and methodologies for large-scale deployments to meet customer uptime goals and exceed performance expectations
  • Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins
  • Provide domain specific knowledge to other groups at AMD, share the lessons learnt to drive continuous improvement
  • Engage with AMD product groups to drive resolution of application and customer issues
  • Develop and present training materials to internal audiences, at customer venues, and at industry conferences
Read More
Arrow Right

Sr Fullstack Engineer

NetGym is a leading SaaS platform serving the fitness industry, providing substi...
Location
Location
Argentina
Salary
Salary:
80000.00 - 100000.00 USD / Year
silver.dev Logo
Silver.dev
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional software engineering experience
  • Strong full-stack capabilities with modern JavaScript/TypeScript and at least one backend language (Ruby, Python, Node.js)
  • Production React experience with hooks, context, and state management (React Query/Redux)
  • RESTful & GraphQL API design and implementation
  • Relational databases (PostgreSQL) with complex queries and data modeling
  • AWS services (Lambda, SQS, S3, CloudFront, or similar cloud platforms)
  • Daily use of AI coding tools (Cursor, Windsurf, Claude Code, etc.) required
Job Responsibility
Job Responsibility
  • Full-Stack Development: Build features across Next.js 15 (React 19), Rails 6.0, and Python/AWS Lambda services
  • System Integration: Maintain and extend integrations with 8+ third-party fitness management APIs
  • Platform Migration: Help complete the transition from our Rails monolith to Next.js architecture
  • Scalable Infrastructure: Design and implement solutions for multi-tenant SaaS with subdomain-based isolation
  • Real-Time Systems: Work with webhooks, message queues (SQS, Sidekiq), and real-time messaging (Stream Chat)
  • Data Synchronization: Ensure data consistency across multiple external systems and our central GraphQL layer
  • Technical Leadership: Mentor engineers, conduct code reviews, and establish best practices
  • Fulltime
Read More
Arrow Right
New

Sr Staff Engineer Software (Full Stack Prisma AIRS)

With Prisma AIRS, Palo Alto Networks is building the world's most comprehensive ...
Location
Location
United States , Santa Clara
Salary
Salary:
147000.00 - 237500.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or a related field with 5+ years of experience, or a Master's degree with 3+ years of experience
  • Expertise in modern React (Functional components) and JavaScript/TypeScript
  • Expertise in building scalable distributed systems with excellent Python or Golang programming skills
  • Expertise writing comprehensive unit, integration, and end-to-end tests
  • Proven experience with modern backend frameworks, databases (SQL or NoSQL), and cloud platforms, specifically GCP (Google Cloud Platform)
  • Excellent written and verbal communication, able to collaborate and convey ideas effectively
  • Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive
Job Responsibility
Job Responsibility
  • Design and build innovative, scalable software products to ensure our customers can use AI securely
  • Own new features/functionality from start to finish. Participate in all phases of the product development cycle, from definition, design, through implementation and test. Ensure that applications are production-ready, scalable, and reliable
  • Collaborate with product managers, backend software engineers, product designers, and infrastructure engineers to shape the future of Prisma AIRS
  • Deliver high quality UX and provide the Prisma AIRS customer with a seamless, intuitive customer experience
  • Proactively identify problems and opportunities, proposing and developing simple, attainable solutions to enhance the team's development process and product quality
  • Serve as a role model in establishing and implementing engineering best practices, including test-driven development for AI runtime services
  • Fulltime
Read More
Arrow Right