Solutions Architect

Job Summary

We are looking for a talented  Solutions Architect  with strong AWS and cloud architecture experience to help design and guide a modern cloud platform over a  12-month engagement , with a focus on  Amazon EKS (Elastic Kubernetes Service)  and the integration of AI/ML workloads.

In this role, you'll work closely with engineering teams and stakeholders to design scalable, secure, and cost-effective AWS architectures across compute, networking, storage, and security. You'll help establish architecture standards, guide the implementation of EKS-based platforms, and support the integration of managed AI/ML services into existing cloud environments.

This is  not a research or data science role . The focus is on architecting and integrating the cloud infrastructure needed to support AI/ML workloads rather than developing machine learning models.

If you enjoy solving complex architecture challenges, working with modern cloud technologies, and collaborating with both engineers and stakeholders, we'd love to hear from you.

HOW WE WORK

We are a remote-first, cross-functional engineering team focused on delivering scalable and reliable solutions through collaboration, ownership, and continuous improvement.

Our development and delivery approach emphasizes:

✅ Scalable, secure, and maintainable cloud architectures. ✅ Collaboration with engineers, clients, and technical stakeholders. ✅ Clear architecture documentation and knowledge sharing. ✅ Ownership, accountability, and proactive problem-solving. ✅ Agile and iterative delivery with a focus on measurable results. ✅ Continuous improvement and adoption of modern cloud technologies.

WHO YOU ARE

You are an experienced  Solutions Architect or Senior Cloud Engineer  who enjoys designing modern cloud platforms and solving complex technical challenges.

You have strong hands-on experience with  AWS  and are comfortable designing solutions across networking, compute, storage, security, and cloud infrastructure.

You're experienced with  Kubernetes and Amazon EKS , and understand how containerized workloads are deployed, secured, monitored, and scaled in production environments.

You're comfortable discussing architecture decisions with both technical teams and business stakeholders, translating requirements into practical and scalable solutions.

You have an interest in AI/ML technologies and understand how cloud platforms can support AI/ML workloads, without necessarily being a data scientist or machine learning engineer.

You're adaptable, collaborative, and comfortable taking ownership of architecture decisions in a consulting and client-facing environment.

WHAT WE OFFER

💵 Competitive USD Salary

🌍 100% Remote Work

🚀 Long-Term Project – Contribute to a 12-month cloud architecture engagement.

📈 Career Growth Opportunities – Expand your expertise across AWS, Kubernetes, and emerging AI/ML technologies.

🤝 Collaborative Engineering Culture – Work alongside experienced engineers, architects, and stakeholders.

💻 Modern Cloud Technologies – Work with AWS, EKS, containerized workloads, CI/CD, and AI/ML services.

👊 Team Building Activities – Join a company that values collaboration and connection.

WHAT YOU'LL DO

• Design and document target  AWS architectures  across compute, networking, storage, security, and related cloud services.
• Support the design and rollout of  Amazon EKS clusters , including decisions around multi-tenant or workload-specific architectures.
• Define architecture standards for security, scalability, reliability, and cost management across AWS environments.
• Design and guide  CI/CD pipelines  for deploying containerized workloads to EKS.
• Collaborate with engineering teams to establish scalable and maintainable cloud architecture patterns.
• Advise on the architecture required to deploy  AI/ML inference workloads  on EKS, Amazon SageMaker, or other appropriate AWS services.
• Evaluate and integrate managed AI services, such as  Amazon Bedrock or SageMaker , into existing application architectures when appropriate.
• Ensure AI/ML workloads follow established security, networking, scalability, and cost-management standards.
• Review technical designs and provide architectural guidance throughout implementation.
• Create architecture diagrams, technical documentation, standards, and decision records.
• Lead technical discussions with engineers, stakeholders, and clients to evaluate architecture options and trade-offs.
• Identify opportunities to improve cloud reliability, performance, security, and operational efficiency.
• Support teams in troubleshooting and resolving complex architectural and infrastructure challenges.

WHAT YOU BRING

✅ 5+ years of professional experience as a  Solutions Architect, Cloud Architect, Senior Cloud Engineer, or similar role .

✅ Strong hands-on experience designing and implementing solutions on  AWS .

✅ Production experience with  Amazon EKS  or strong hands-on Kubernetes experience with the ability to quickly specialize in EKS.

✅ Strong knowledge of core AWS services, including  VPC, IAM, EC2, S3, RDS, Lambda, and CloudFormation or Terraform .

✅ Hands-on experience with  Docker, Kubernetes, Kubernetes manifests, and Helm .

✅ Experience designing  CI/CD pipelines for containerized workloads .

✅ Working familiarity with at least one AWS AI/ML service, such as  Amazon Bedrock or Amazon SageMaker .

✅ Strong understanding of cloud security, networking, scalability, and cost management principles.

✅ Strong architecture documentation, diagramming, and technical communication skills.

✅ Experience leading technical discussions and collaborating with engineers, clients, and other stakeholders.

✅ Strong communication, collaboration, problem-solving, and decision-making skills.

NICE TO HAVE

• AWS Certified Solutions Architect – Professional  certification.
• Certified Kubernetes Administrator (CKA)  or  CKAD  certification.
• AWS Certified Machine Learning – Specialty  or equivalent hands-on experience with AI/ML cloud architectures.
• Experience with  service mesh technologies  such as Istio or AWS App Mesh.
• Experience with advanced  EKS networking .
• Experience with GitOps tools such as  ArgoCD or Flux .
• Experience designing or advising on  MLOps pipelines .
• Previous experience working in a  consulting or contract-based architecture engagement .
• Experience working directly with clients and leading architecture initiatives.

READY TO APPLY?

If you're an experienced  Solutions Architect  with strong AWS expertise and a passion for designing modern cloud platforms, we'd love to hear from you.

This is an opportunity to contribute to a  12-month cloud architecture engagement , working closely with engineering teams and stakeholders to design scalable AWS solutions, guide EKS implementations, and support the integration of AI/ML workloads into a modern cloud platform.

If you enjoy solving complex architecture challenges, working with cutting-edge cloud technologies, and helping teams build reliable and scalable solutions, apply today and join our team! 🚀