Cloud Solutions Architect 3 (Contractor) 529701735

Posted 2 Days Ago
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Austin, TX, USA
Hybrid
Senior level
Information Technology • Consulting • Energy
The Role
Design, support, and govern multi-cloud (Azure/GCP) enterprise platforms enabling data lakes, analytics, and AI. Implement observability, logging, alerting, IAM, and compliance. Provide Tier 2/3 production support, troubleshoot performance issues, manage data integration (IICS), and drive platform modernization with engineering and business stakeholders.
Summary Generated by Built In
Company Description

Big challenges need bold thinkers.

If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.

We do not accept unsolicited resumes from third-party recruiters.

Job Description

RESPEC is seeking an experienced Cloud Solutions Architect III to support a large-scale public sector technology initiative focused on cloud infrastructure, enterprise data platforms, analytics, and emerging AI technologies. This is an opportunity to contribute to mission-critical systems that support essential services for millions of citizens while working alongside highly skilled cloud, data, and application development professionals.

Role Summary

We are seeking a senior-level Cloud Solutions Architect with deep expertise in Azure, Google Cloud Platform (GCP), enterprise data ecosystems, and AI-enabled cloud services. In this role, you will help design, support, optimize, and govern cloud-based platforms that enable data-driven decision making, advanced analytics, and enterprise application integration.

The ideal candidate combines strategic architecture expertise with hands-on operational support experience. This position requires a strong understanding of cloud observability, data integration, security, compliance, and production support within large, complex enterprise environments.

Core Responsibilities:

As a Cloud Solutions Architect, you will be responsible for architecting and supporting multi-cloud environments across Azure and GCP while ensuring platform reliability, scalability, security, and operational excellence. You will work closely with engineering, infrastructure, analytics, and business stakeholders to deliver cloud solutions that support enterprise data platforms, AI initiatives, and mission-critical applications.

Responsibilities include designing and maintaining cloud monitoring and observability frameworks, implementing alerting and notification solutions, supporting enterprise data storage and data lake architectures, and providing Tier 2/3 operational support for cloud platforms. You will also contribute to cloud security governance, identity and access management, compliance initiatives, data integration solutions, and modernization efforts involving AI and analytics technologies.

The successful candidate will be comfortable troubleshooting production issues, analyzing logs and system performance, supporting enterprise integrations, and collaborating across multiple technical teams to drive continuous platform improvement.

Qualifications

Required Technical Experience

8+ Years of Experience

Candidates must demonstrate at least eight years of professional experience in the following areas:

· Designing, implementing, and supporting enterprise cloud solutions across Microsoft Azure and Google Cloud Platform (GCP)

· Supporting enterprise AI and Generative AI platforms, including technologies such as Gemini, Vertex AI, or comparable AI ecosystems

· Implementing and managing cloud monitoring, observability, and logging platforms, including Azure Monitor, Log Analytics, and GCP Cloud Monitoring

· Designing log ingestion, transformation, and analytics solutions using Logstash or similar technologies

· Building operational alerting and notification solutions, including SMS, voice, or automated incident notification platforms

· Supporting enterprise storage environments including Blob Storage, Data Lakes, and cloud-based analytics repositories

· Developing and supporting enterprise data platforms, ETL/ELT processes, and analytics workloads

· Working with Informatica Intelligent Cloud Services (IICS), Secure Agents, APIs, integrations, and cloud data movement solutions

· Implementing Identity and Access Management (IAM), security governance, audit logging, compliance controls, and least-privilege security models

· Providing Tier 2 and Tier 3 production support, incident management, root-cause analysis, and operational troubleshooting

Preferred Qualifications

Candidates with experience in the following areas will be highly competitive:

· Tableau Cloud administration and support

· ArcGIS and geospatial data integrations

· Python, Bash, and scripting-based automation

· CI/CD pipelines and infrastructure automation

· Docker, Kubernetes, Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE)

· Microservices-based architectures

· Data mesh frameworks and modern data architecture practices

· Enterprise API integration strategies

· Cross-functional technical leadership and stakeholder communication

· Experience translating complex technical concepts into business-friendly recommendations

Additional Information

Work Model

This position follows a hybrid work model based in Austin, Texas.

Primary Work Location:
701 W. 51st Street
Austin, TX 78751

Team members are expected to work onsite two days per week (Monday and Wednesday) and remotely three days per week. Work schedules are generally Monday through Friday, 8:00 AM to 5:00 PM Central Time. Occasional evening, weekend, or holiday support may be required based on project needs.

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • 8+ years of professional experience
  • Designing, implementing, and supporting enterprise cloud solutions across Microsoft Azure and Google Cloud Platform (GCP)
  • Supporting enterprise AI and Generative AI platforms, including Gemini, Vertex AI, or comparable AI ecosystems
  • Implementing and managing cloud monitoring, observability, and logging platforms including Azure Monitor, Log Analytics, and GCP Cloud Monitoring
  • Designing log ingestion, transformation, and analytics solutions using Logstash or similar technologies
  • Building operational alerting and notification solutions, including SMS, voice, or automated incident notification platforms
  • Supporting enterprise storage environments including Blob Storage, Data Lakes, and cloud-based analytics repositories
  • Developing and supporting enterprise data platforms, ETL/ELT processes, and analytics workloads
  • Working with Informatica Intelligent Cloud Services (IICS), Secure Agents, APIs, integrations, and cloud data movement solutions
  • Implementing Identity and Access Management (IAM), security governance, audit logging, compliance controls, and least-privilege security models
  • Providing Tier 2 and Tier 3 production support, incident management, root-cause analysis, and operational troubleshooting
  • Tableau Cloud administration and support
  • ArcGIS and geospatial data integrations
  • Python, Bash, and scripting-based automation
  • CI/CD pipelines and infrastructure automation
  • Docker, Kubernetes, Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE)
  • Microservices-based architectures
  • Data mesh frameworks and modern data architecture practices
  • Enterprise API integration strategies
  • Cross-functional technical leadership and stakeholder communication
  • Translating complex technical concepts into business-friendly recommendations

RESPEC Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RESPEC and has not been reviewed or approved by RESPEC.

  • Retirement Support - Retirement Support: Retirement benefits are positioned as a meaningful part of total rewards through the combination of an ESOP and a 401(k). Long-term wealth-building potential is emphasized as a differentiator versus base-salary-only comparisons.
  • Healthcare Strength - Healthcare Strength: Core medical, dental, and vision coverage is presented as a standard, comprehensive foundation. Additional protection coverage (life and disability) is also included, strengthening the overall benefits stack.
  • Fair & Transparent Compensation - Fair & Transparent Compensation: Pay is characterized as generally fair-to-good when viewed across roles and in combination with total rewards. Clear salary ranges appearing in some job postings further support expectations-setting for certain positions.

RESPEC Insights

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The Company
Albuquerque, NM
377 Employees
Year Founded: 1969

What We Do

In a world where one superhero can handle almost any problem, our entire team of award-winning technology experts is on a mission to make your business better. With extra vision to see solutions that others can’t and vast knowledge to bridge the gaps that others don’t, we’re transformers with the know-how to solve the world’s hardest problems. At RESPEC, we thrive on technology and making our clients successful. This is why we do what we do. From the depths of a cavern to the heights of a volcano, from an antiquated computer system to a business in dire need of re-engineering, our technical and business experts find solutions for extreme situations... like the time we cleansed and migrated 100 million rows of legacy data or the time we protected Mt. Rushmore. Know-How is Everything. We use our resourcefulness and vast experience to solve problems. It’s called know-how. And when you have it, problems aren’t problems at all. Know-how defines the core of who we are. It is how our clients see us. Know-how speaks to ingenuity, aptitude, and skill—it is not merely knowledge; it is knowledge on how to get things done. Imagine having access to a think tank with hundreds of diversely talented engineers, scientists, programmers, and developers under one roof—that’s RESPEC. Each team member is highly trained and skilled in understanding and applying the laws of a specific universe to solve any kind of problem. That’s why we have to talk about our team in terms of superheroes.

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