Senior Cloud Solutions Architect (AI/ML Focus) Job at Dutech Systems (Austin)

Senior Solutions Architect - Logistics and Global Trade Management

The primary role of the Lead Solution Architect is to assess and design the solu...

Location

Australia , Sydney

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

Minimum 3 years working in a custom development environment
Minimum 5 years working as a solution architect / technical architect
Working understanding of Agile methodologies and ways of working
Experience in working with customers and product owners
Experience in solution enhancement and analysis
Experience with React / NodeJS
Experience with .net
Experience with AWS and Databases
Excellent stakeholder engagement and communication skills
Proven experience in solution architecture within logistics or supply chain domains

Job Responsibility

Assess and design the solution as part of the Discovery program in an Agile technology team
Work closely with the Business analysts and Product Owners as well as platform teams and external consultants
Oversee all the Functional streams related to Logistics and Global Trade management
Architecture Design: Develop end-to-end solution architectures for logistics systems, ensuring integration with enterprise platforms and compliance with standards
Capability Enablement: Leverage advanced capabilities such as: Data Integration & Analytics: Enable real-time visibility and predictive insights across supply chain operations. Automation & Workflow Optimisation: Implement automation frameworks to streamline logistics processes. Cloud & API Strategy: Design cloud-native solutions and API-driven integrations for scalability and interoperability
Stakeholder Engagement: Collaborate with business leaders, product teams, and technical stakeholders to translate requirements into architectural blueprints
Governance & Compliance: Ensure adherence to security, privacy, and regulatory requirements within logistics operations
Innovation Leadership: Drive adoption of emerging technologies (AI/ML, IoT) to optimise logistics performance
Be Proactive Self-starter, solution-oriented who can manage own tasks & time
Be customer-centric, data-driven, quality-focused, collaborative & have a positive attitude

Fulltime

Senior Google Cloud Platform Architect

The Senior Google Cloud Platform (GCP) Architect will lead the design and govern...

Location

United States , Austin

Salary:

104000.00 - 154000.00 USD / Year ▼

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of professional experience in cloud architecture and engineering
At least 5+ years focused on Google Cloud Platform (GCP) in enterprise or production-scale environments
Proven track record designing secure, compliant GCP architectures for regulated industries (government, public safety, healthcare, finance) or environments subject to CJIS, FedRAMP, or equivalent standards
Deep expertise across GCP pillars: Infrastructure (Compute, Networking, Storage), Data & Analytics (BigQuery, Dataflow, Pub/Sub, Dataproc), Security & Identity, Operations (Monitoring, Logging, Cloud Operations Suite), Application Modernization (GKE, Cloud Run, Anthos), and AI/ML foundations
Strong understanding of zero-trust security models, encryption strategies, network perimeter controls (VPC Service Controls, Private Google Access), and observability/logging pipelines
Experience with Infrastructure as Code (Terraform strongly preferred
Deployment Manager, Cloud Foundation Toolkit, or Google-provided blueprints a plus) and CI/CD automation
Must be a US citizen or Green card holder
Ability to obtain and maintain required security clearances, attestations, or role-based access privileges under the DIR PCM contract and CJIS Security Policy
No disqualifying criminal history as defined by FBI CJIS standards

Job Responsibility

Lead end-to-end architecture design for complex GCP deployments, including multi-project/folder/organization structures, hybrid/multi-cloud connectivity, data platforms, AI/ML workloads, security posture, and operational excellence
Define and implement reference architectures, landing zones, and foundational patterns using Google Cloud best practices: Organization Policy Service, Folders, Projects, Shared VPC, VPC Service Controls, Access Context Manager, Assured Workloads, and Google Cloud for Government capabilities
Architect secure-by-design environments with zero-trust principles: CMEK encryption, Identity-Aware Proxy (IAP), BeyondCorp Enterprise, Binary Authorization, Confidential Computing, Security Command Center Premium, Chronicle SIEM, and audit logging strategies compliant with CJIS requirements
Design high-availability, disaster recovery, and business continuity solutions (multi-region/multi-zone deployments, Cloud Interconnect/Partner Interconnect, Cloud DNS, Global Load Balancing, Backup and DR services)
Guide cost optimization and FinOps strategies (Billing Budgets, Recommender, Committed Use Discounts, Sustained Use Discounts, Cloud Billing export to BigQuery for analytics)
Translate business, regulatory, and technical requirements into prescriptive GCP blueprints, reference implementations, and decision frameworks for Texas agencies
Collaborate with DIR PCM program leadership, agency stakeholders, security teams, and delivery engineers to align architectures with contract SLAs, TxRAMP controls, CJIS Security Policy, NIST 800-53/800-171 alignments, and state data classification standards
Provide technical leadership during migrations, modernization, and greenfield initiatives
conduct architecture reviews, threat modeling, and compliance gap analyses
Author architecture decision records (ADRs), design documents, security control mappings, and compliance evidence packages for audits and assessments

What we offer

Medical, dental, and vision insurance
Flexible spending or health savings account
Life and AD&D insurance
Short and long term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally-required benefits
Incentive compensation based on individual and/or company performance (if not a temporary position)

Senior Cloud & Data AI Architect

Join Datwave (a BIP's Company) to accelerate your career in the world of Cloud a...

Location

Albania , Tirana

Salary:

Not provided

Business Integration Partners

Expiration Date

Until further notice

Requirements

At least 5–7 years in similar roles with a strong focus on Google Cloud
Mastery of Terraform and deep knowledge of core GCP services (BigQuery, Dataplex, Vertex AI)
Proven experience in setting up modern Data Lakes/Warehouses and developing AI models
Excellent knowledge of Python and CI/CD paradigms applied to the cloud
Technical leadership, strong communication skills for sales support, and fluency in both Italian and English

Job Responsibility

Architectural Design: End-to-end design of data platforms on GCP (Data Mesh, Medallion Architecture) while ensuring robust data governance
Technical Pre-sales & Client Advisory: Support business development through technical proposals, Proofs-of-Concept (PoCs), and managing relationships with client-side stakeholders
Infrastructure as Code (IaC): Full automation of resource provisioning using Terraform
AI Implementation: Design of AI/ML solutions, including intelligent agent orchestration and model industrialization (MLOps)
App & Migration: Oversight of application deployment and management of complex database migrations
Mentorship: Technical guidance and career growth for the junior profiles within the team

Fulltime

Senior to Senior Staff Solutions Engineer

Crusoe Cloud is seeking a Sr. to Senior Staff level Solutions Engineer to work c...

Location

United States , San Francisco; Denver; Sunnyvale

Salary:

175000.00 - 250000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Deep Kubernetes Expertise: 7+ years building and deploying containerized workloads
Experience with Helm, Terraform, Docker, and multi-node orchestration
MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows
Hands-on Cloud Infrastructure Knowledge: Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure
Experience translating workloads across clouds is highly desirable
Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments
Strong Linux and CLI Proficiency: Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI
Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful

Job Responsibility

Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the POC through to post-sales optimization
Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency
Infrastructure-Centric Thinking: Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure. Ensure performance at the container and hardware level
Cross-Cloud Translation: Help customers migrate and adapt workloads across AWS, Azure, and GCP. Understand and explain the tradeoffs between cloud-native and Crusoe-native approaches
Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts that highlight real-world customer success
Voice of the Customer: Relay feedback to internal engineering and product teams to continuously improve Crusoe’s platform based on real-world implementation experience

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Senior+ Solutions Engineer

Crusoe Cloud is seeking a Senior+ Solutions Engineer to work closely with our mo...

Location

Ireland , Dublin

Salary:

Not provided

Crusoe

Expiration Date

Until further notice

Requirements

Deep Kubernetes Expertise: 3-5 years building and deploying containerized workloads
Experience with Helm, Terraform, Docker, and multi-node orchestration a must
MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows
Hands-on Cloud Infrastructure Knowledge: Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure
Experience translating workloads across clouds is highly desirable
Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments
Strong Linux and CLI Proficiency: Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI
Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful
Must be able to pass a background check
Embody the Company values

Job Responsibility

Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the PoC through to post-sales optimization
Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency
Infrastructure-Centric Thinking: Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure. Ensure performance at the container and hardware level
Cross-Cloud Translation: Help customers migrate and adapt workloads across AWS, Azure, and GCP. Understand and explain the tradeoffs between cloud-native and Crusoe-native approaches
Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts that highlight real-world customer success
Voice of the Customer: Relay feedback to internal engineering and product teams to continuously improve Crusoe’s platform based on real-world implementation experience

What we offer

pension contributions
private health and dental insurance
income protection
life assurance

Fulltime

Maconomy Solutions Architect

We are seeking an experienced Maconomy ERP Cloud Solutions Architect specialisin...

Location

United Kingdom , London

Salary:

Not provided

Inizio

Expiration Date

Until further notice

Requirements

8+ years of experience in designing and implementing Maconomy Cloud Finance solutions, specifically in global company with financial shared services
Strong experience in a consulting role, delivering finance technology solutions and advising on best practices
Proven experience in business case creation, value identification, and delivering measurable ROI
Deep expertise in Maconomy Financials (General Ledger, Accounts Payable, Accounts Receivable, Asset Management, and Financial Reporting)
Experience in integrating Maconomy with other ERP systems and third-party applications
Understanding of cloud technologies and SaaS implementation approaches
Familiarity with AI-enabled analytics, Maconomy Digital Assistant (ODA), and Maconomy Autonomous services
Proven experience with Intelligent Automation frameworks — including RPA, AI/ML, NLP, or process mining
Strong leadership and stakeholder management skills, with the ability to engage and influence senior management
Problem-solving mindset with the ability to navigate complex financial systems and processes

Job Responsibility

Strategic Advice: Leverage consulting experience to assess client needs, advise on best practices, and lead the development of technology roadmaps that support business goals, focusing on finance operations such as General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Project and Portfolio Management, Enterprise Performance Management and Financial Reporting
Business Case & ROI: Work closely with finance leaders to identify and quantify business value, create and validate business cases, and present ROI analyses. Ensure that proposed solutions deliver measurable financial and operational improvements
Stakeholder Engagement: Collaborate with finance teams, Global process owners, IT departments, and other key stakeholders to gather requirements, create solution designs, and deliver technology solutions that are aligned with business needs and regulatory requirements
Solution Architecture: Design, implement, and lead Maconomy Cloud Finance-based financial solutions that align with the organization's finance and business strategy. Develop robust architectures that integrate finance processes with Maconomy ERP Cloud applications
Technology Leadership: Provide strategic oversight and hands-on guidance throughout the entire solution lifecycle—from requirement gathering, architecture design, configuration, development, testing, and deployment
Value Realization: Drive post-implementation reviews to ensure value realization, providing ongoing support and strategic input to continuously improve financial systems and processes
Innovation & Best Practices: Stay up to date on the latest Maconomy ERP Cloud capabilities and emerging technologies in finance. Apply innovative thinking to continuously evolve solution offerings, ensuring the organization is utilizing the best technology stack
Project Management: Support the management of project delivery including timelines, budgets, resource planning, and risk management. Lead the execution of major finance transformation projects, ensuring that they are delivered on time and within scope
Compliance & Governance: Ensure all solutions adhere to compliance, governance, and risk management protocols, especially in regulated industries

Fulltime

Global Lead Architect – Hybrid Cloud, AI & HPE Platform Delivery

A highly senior, customer-facing architecture and delivery leadership role respo...

Location

Bulgaria , Sofia

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

12–15+ years in enterprise IT, with strong focus on: Solution architecture and delivery leadership
Hybrid cloud, AI/HPC, and infrastructure platforms
Proven background in professional services / delivery-led roles, not purely presales
Demonstrated experience leading large-scale, multi-technology programs end-to-end
Strong consulting mindset with excellent stakeholder and executive communication skills
Deep expertise in enterprise private cloud platforms and hybrid architectures
Strong understanding of workload migration, interoperability, and governance
AI platform design (GPU-based infrastructure, NVIDIA ecosystem)
HPC cluster architecture, workload schedulers (Slurm, PBS Pro), and performance tuning
Kubernetes ecosystems (OpenShift, Rancher, CNCF stack)

Job Responsibility

Serve as the technical validation authority during early sales cycles
Lead technical governance from opportunity qualification through delivery execution
Own solution integrity across the lifecycle—design, validation, implementation, and optimization
Architect and oversee end-to-end hybrid and private cloud solutions
Drive adoption of cloud-native, automated, and scalable architectures
Lead delivery teams across complex engagements
Act as the lead design authority ensuring delivery success for AI infrastructure and HPC deployments, Containerized platforms and cloud-native environments, Enterprise hybrid cloud transformations
Provide hands-on guidance during critical phases (design reviews, PoCs, escalations)
Lead technical due diligence during RFP/RFI responses, Solution workshops and discovery sessions, Proof-of-concept engagements
Translate business requirements into deliverable, production-ready architectures

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Solution Architect - Data Platform & Analytics

The Senior Solution Architect - Data Platform & Analytics will be responsible fo...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience designing and implementing cloud data platforms in large enterprises
Strong hands-on cloud solutions and architecture experience with big data platforms such as Databricks
Proven experience delivering data platforms within large enterprises (complex stakeholder environment, governance, security/compliance constraints)
Strong hands-on architecture experience with Databricks (must-have), including Spark and Delta Lake
Expertise in cloud platforms: Microsoft Azure and/or AWS, with working knowledge of core services used in data platforms
Azure networking knowledge (should-have): experience designing/working with private networking, connectivity, and security patterns in Azure
AWS knowledge (should-have): understanding of AWS networking and data services and integration patterns
Experience with Data Lakes, ETL/ELT tools, and distributed processing (Spark)
Experience with reporting/semantic layer tools such as Power BI or Tableau
Hands-on experience with integration/orchestration tools like Azure Data Factory, AWS Glue, FiveTran, and/or Kafka

Job Responsibility

Lead feature enablement and capability development efforts on Enterprise Data Platform which is based on Databricks lakehouse architecture, including performance and cost optimization
Define reference architectures, engineering standards, and best practices for data lakes, lakehouse patterns, and enterprise analytics
Partner with networking and security teams to design secure connectivity patterns (e.g., private endpoints/links, VNet/VPC integration, routing, firewalling, segmentation) and meet enterprise security standards
Drive architectural governance (design reviews, technology choices, ADRs) and mentor teams to improve delivery quality
Provide guidance to solution architects in designing and architecting scalable and robust cloud-based solutions using Azure or AWS platforms, focusing on big data and analytics
Provide guidance on implementation best practices for data modeling, metadata management, data lineage, and governance in cloud data environments
Collaborate with analytics and reporting teams to integrate solutions with Power BI or similar tools for business insights
Ensure solutions meet high standards of performance, scalability, security, and cost efficiency in cloud environments
Work closely with cross-functional teams including DevOps, product management, and business stakeholders to align on architecture decisions
Stay up to date with trends in cloud, data engineering, analytics, governance, and AI/ML enablement

Fulltime

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Senior Cloud Solutions Architect (AI/ML Focus)

Job Description

Job Responsibility

Requirements

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