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

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

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

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)

Head of Engineering

Lead the Technical Transformation Towards an AI-Driven SaaS Future We are undert...

Location

Sweden , Stockholm; Malmö

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Extensive experience in a senior engineering leadership role, such as Head of Engineering, CTO, or Principal Architect, within a SaaS or technology-driven environment
Proven ability to design and operate large-scale distributed systems with a focus on scalability, performance, and reliability
Advanced proficiency in cloud-native engineering, containerization, and DevOps practices
Experience integrating AI/ML technologies into production environments and maintaining robust MLOps workflows
Strong knowledge of data engineering and architectural design for AI-readiness
Exceptional technical judgment and the ability to balance innovation with stability and quality
Demonstrated ability to translate business and product requirements into effective, maintainable technical solutions

Job Responsibility

Provide strategic and operational leadership to the Engineering organization, ensuring the successful delivery of an AI-first, cloud-native SaaS platform
Design and evolve a highly scalable multi-tenant SaaS architecture capable of supporting millions of transactions efficiently
Oversee the development and maintenance of a cloud-native infrastructure, leveraging containerization (Docker, Kubernetes) and CI/CD automation
Collaborate with data science and ML teams to integrate AI and machine learning models into production systems
Develop and manage MLOps pipelines and data infrastructure, including data pipelines, data lakes, and data warehouses

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Senior Devops Engineer

We are seeking an experienced Senior Infrastructure Mgmt. Engineer with expertis...

Location

India , Hyderabad

Salary:

Not provided

Fission Labs

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
7+ years of experience in Infrastructure Mgmt. roles, with a focus on cloud platforms (Azure and AWS Preferred)
Hands-on experience with operations (DevSecOps) principles and best practices
Proficiency in scripting languages such as Python, PowerShell, or Bash
Excellent communication and collaboration skills
Certifications such as AWS Solution Architect Associate, AWS Cloud Practitioner, Azure DevOps Engineer Expert, Azure Administrator
In-depth knowledge of Linux operating systems (CentOS, Ubuntu, Red Hat) with expertise in shell scripting, package management, and system administration
Hands-on experience with a wide range of AWS and Azure services (EC2, S3, Lambda, RDS, Azure VMs, Azure Blob Storage, Azure Functions, etc.)
Experience architecting cloud solutions for scalability, reliability, and cost-effectiveness
Experience implementing and managing hybrid cloud environments

Job Responsibility

Lead the DevOps initiatives and ensure compliance with industry standards and regulations
Configure and optimize Linux-based servers for performance, security, and resource utilization, including kernel tuning, file system management, and network configuration
Architect cloud solutions leveraging best practices and services offered by AWS and Azure, optimizing for scalability, reliability, and cost-effectiveness
Implement and manage hybrid cloud environments, facilitating seamless integration and interoperability between AWS and Azure services
Develop and maintain Infrastructure as Code (IAC) templates using tools such as Terraform or AWS CloudFormation, defining infrastructure components as code for automated provisioning and configuration
Establish version control practices for IAC templates, ensuring traceability, auditability, and reproducibility of infrastructure changes

What we offer

Opportunity to work on impactful technical challenges with global reach
Vast opportunities for self-development, including online university access and knowledge sharing opportunities
Sponsored Tech Talks & Hackathons to foster innovation and learning
Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work

Fulltime

New

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 AI Security Engineer

Senior AI Security Engineer role in Citi's Application, Platform and Engineering...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Production system builder with security focus - proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up
Ethical hacking and penetration testing expertise - hands-on experience finding and exploiting vulnerabilities, conducting red team exercises
State-of-the-art security engineering with Go, Python, JavaScript
HashiCorp Vault mastery - deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials
Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems
API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments
AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks
Security automation and tooling – automating manual security processes
Cloud-native security - securing containerized applications in Kubernetes, service mesh security
Incident response and forensics - experience investigating, analyzing, and responding to security incidents

Job Responsibility

Build secure AI products from 0-1 - Engineer production-grade, business-facing AI platforms with security built-in from day one
Conduct ethical hacking and red team activities - penetration testing, vulnerability research, and attack simulation
Design and build security tools and frameworks - Create automated security solutions that scale across fast-paced development cycles
Secure novel AI attack surfaces - Identify and mitigate LLM-specific vulnerabilities, prompt injection attacks, and AI model security risks
Lead 'shift left' security - Embed security practices throughout rapid development lifecycle while maintaining velocity
Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security-first thinking

What we offer

27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Hybrid working model (up to 2 days working at home per week)
Competitive base salary (annually reviewed)

Fulltime

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 Cloud Solutions Architect (AI/ML Focus)

Dutech Systems

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 11, 2026

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Dutech Systems

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