Job Details

The Opportunity

We are looking for a hands-on Senior Software Solution Architect to design and guide the build of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.

What You'll Do

• Solution Architecture: Design and implement performant, resilient, and scalable SaaS applications following microservice architecture in production environments.
• Technical Leadership: Guide the team on architectural and technical decisions, ensuring adherence to best practices and accepted technical standards.
• Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).
• Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.
• Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (SQL Server, PostgreSQL, MongoDB).
• AI & Agentic Enablement: Evaluate and help integrate AI/ML and agentic AI patterns (LLMs, RAG, multi-agent frameworks) into enterprise solution architectures where they add value.
• Cross-Functional Influence: Partner with product management, sales, customer, and engineering teams to align technical solutions with business needs.
• Hands-On Delivery: Actively contribute to development, maintaining high code quality and testing your own work before handoff to QA.
• Continuous Learning: Maintain up-to-date knowledge of existing and emerging technologies relevant to the role and communicate risks and issues clearly and in a timely manner.

The Technology Stack

• Architecture: Microservices, Enterprise Architecture, SaaS design patterns.
• AI/ML: LLMs, agentic AI frameworks (LangChain, AutoGen, CrewAI), prompt engineering, retrieval-augmented generation (RAG), vector databases.
• Data: PostgreSQL, data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Cloud & Infrastructure: Azure, AWS, Docker, Kubernetes, Terraform, Ansible.
• DevOps: CI/CD build pipelines, GitLab Runner (or equivalent).
• Languages: Python, Node.js.
• UI: React (or comparable frontend frameworks).

Qualifications

• The Systems Thinker: You see the whole picture — from data layer to infrastructure to user experience — and design architectures that hold up under real-world scale and complexity.
• The Pragmatic Builder: You view architecture as a hands-on discipline. You translate designs into working, well-tested code rather than diagrams alone.
• The Trusted Advisor: You are comfortable influencing cross-functional stakeholders — product, sales, customer, and engineering — and communicate technical trade-offs clearly.
• The Emerging-Tech Evaluator: You stay current on cloud-native and AI/agentic patterns and know when — and when not — to apply them to a given problem.

Must Haves:

• BS in Computer Science or a related STEM field.
• 10+ years of experience in software development of complex applications.
• Proven track record designing and implementing performant, resilient, and scalable SaaS applications following microservice architecture in real-world scenarios.
• Strong experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).
• Data modeling and database design experience (SQL Server, PostgreSQL, MongoDB).
• Experience with data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Knowledge of AI/ML technologies, including agentic AI frameworks (LangChain, AutoGen, CrewAI).
• Fluency in one or more of: Node.js, Python
• Experience with DevOps and build pipeline tooling (e.g., GitLab Runner).
• Experience writing unit tests and maintaining high code quality.
• Hands-on experience influencing cross-functional product management, sales, customer, and engineering teams.
• Advanced English communication skills.

Good to Have:

• UI experience such as React.
• Prior experience building technical or real-time acquisition software in the Oil & Gas industry.
• Azure AI Engineer, Azure Data Engineer, or Azure Architect certification.

The Opportunity

We are looking for a hands-on Senior Software Solution Architect to design and guide the build of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.

What You'll Do

• Solution Architecture: Design and implement performant, resilient, and scalable SaaS applications following microservice architecture in production environments.
• Technical Leadership: Guide the team on architectural and technical decisions, ensuring adherence to best practices and accepted technical standards.
• Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).
• Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.
• Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (SQL Server, PostgreSQL, MongoDB).
• AI & Agentic Enablement: Evaluate and help integrate AI/ML and agentic AI patterns (LLMs, RAG, multi-agent frameworks) into enterprise solution architectures where they add value.
• Cross-Functional Influence: Partner with product management, sales, customer, and engineering teams to align technical solutions with business needs.
• Hands-On Delivery: Actively contribute to development, maintaining high code quality and testing your own work before handoff to QA.
• Continuous Learning: Maintain up-to-date knowledge of existing and emerging technologies relevant to the role and communicate risks and issues clearly and in a timely manner.

The Technology Stack

• Architecture: Microservices, Enterprise Architecture, SaaS design patterns.
• AI/ML: LLMs, agentic AI frameworks (LangChain, AutoGen, CrewAI), prompt engineering, retrieval-augmented generation (RAG), vector databases.
• Data: PostgreSQL, data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Cloud & Infrastructure: Azure, AWS, Docker, Kubernetes, Terraform, Ansible.
• DevOps: CI/CD build pipelines, GitLab Runner (or equivalent).
• Languages: Python, Node.js.
• UI: React (or comparable frontend frameworks).

Qualifications

• The Systems Thinker: You see the whole picture — from data layer to infrastructure to user experience — and design architectures that hold up under real-world scale and complexity.
• The Pragmatic Builder: You view architecture as a hands-on discipline. You translate designs into working, well-tested code rather than diagrams alone.
• The Trusted Advisor: You are comfortable influencing cross-functional stakeholders — product, sales, customer, and engineering — and communicate technical trade-offs clearly.
• The Emerging-Tech Evaluator: You stay current on cloud-native and AI/agentic patterns and know when — and when not — to apply them to a given problem.

Must Haves:

• BS in Computer Science or a related STEM field.
• 10+ years of experience in software development of complex applications.
• Proven track record designing and implementing performant, resilient, and scalable SaaS applications following microservice architecture in real-world scenarios.
• Strong experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).
• Data modeling and database design experience (SQL Server, PostgreSQL, MongoDB).
• Experience with data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Knowledge of AI/ML technologies, including agentic AI frameworks (LangChain, AutoGen, CrewAI).
• Fluency in one or more of: Node.js, Python
• Experience with DevOps and build pipeline tooling (e.g., GitLab Runner).
• Experience writing unit tests and maintaining high code quality.
• Hands-on experience influencing cross-functional product management, sales, customer, and engineering teams.
• Advanced English communication skills.

Good to Have:

• UI experience such as React.
• Prior experience building technical or real-time acquisition software in the Oil & Gas industry.
• Azure AI Engineer, Azure Data Engineer, or Azure Architect certification.

The Opportunity

We are looking for a hands-on Senior Software Solution Architect to design and guide the build of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.

What You'll Do

• Solution Architecture: Design and implement performant, resilient, and scalable SaaS applications following microservice architecture in production environments.
• Technical Leadership: Guide the team on architectural and technical decisions, ensuring adherence to best practices and accepted technical standards.
• Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).
• Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.
• Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (SQL Server, PostgreSQL, MongoDB).
• AI & Agentic Enablement: Evaluate and help integrate AI/ML and agentic AI patterns (LLMs, RAG, multi-agent frameworks) into enterprise solution architectures where they add value.
• Cross-Functional Influence: Partner with product management, sales, customer, and engineering teams to align technical solutions with business needs.
• Hands-On Delivery: Actively contribute to development, maintaining high code quality and testing your own work before handoff to QA.
• Continuous Learning: Maintain up-to-date knowledge of existing and emerging technologies relevant to the role and communicate risks and issues clearly and in a timely manner.

The Technology Stack

• Architecture: Microservices, Enterprise Architecture, SaaS design patterns.
• AI/ML: LLMs, agentic AI frameworks (LangChain, AutoGen, CrewAI), prompt engineering, retrieval-augmented generation (RAG), vector databases.
• Data: PostgreSQL, data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Cloud & Infrastructure: Azure, AWS, Docker, Kubernetes, Terraform, Ansible.
• DevOps: CI/CD build pipelines, GitLab Runner (or equivalent).
• Languages: Python, Node.js.
• UI: React (or comparable frontend frameworks).

Qualifications

• The Systems Thinker: You see the whole picture — from data layer to infrastructure to user experience — and design architectures that hold up under real-world scale and complexity.
• The Pragmatic Builder: You view architecture as a hands-on discipline. You translate designs into working, well-tested code rather than diagrams alone.
• The Trusted Advisor: You are comfortable influencing cross-functional stakeholders — product, sales, customer, and engineering — and communicate technical trade-offs clearly.
• The Emerging-Tech Evaluator: You stay current on cloud-native and AI/agentic patterns and know when — and when not — to apply them to a given problem.

Must Haves:

• BS in Computer Science or a related STEM field.
• 10+ years of experience in software development of complex applications.
• Proven track record designing and implementing performant, resilient, and scalable SaaS applications following microservice architecture in real-world scenarios.
• Strong experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).
• Data modeling and database design experience (SQL Server, PostgreSQL, MongoDB).
• Experience with data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Knowledge of AI/ML technologies, including agentic AI frameworks (LangChain, AutoGen, CrewAI).
• Fluency in one or more of: Node.js, Python
• Experience with DevOps and build pipeline tooling (e.g., GitLab Runner).
• Experience writing unit tests and maintaining high code quality.
• Hands-on experience influencing cross-functional product management, sales, customer, and engineering teams.
• Advanced English communication skills.

Good to Have:

• UI experience such as React.
• Prior experience building technical or real-time acquisition software in the Oil & Gas industry.
• Azure AI Engineer, Azure Data Engineer, or Azure Architect certification.

The Opportunity

We are looking for a hands-on Senior Software Solution Architect to design and guide the build of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.

What You'll Do

• Solution Architecture: Design and implement performant, resilient, and scalable SaaS applications following microservice architecture in production environments.
• Technical Leadership: Guide the team on architectural and technical decisions, ensuring adherence to best practices and accepted technical standards.
• Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).
• Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.
• Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (SQL Server, PostgreSQL, MongoDB).
• AI & Agentic Enablement: Evaluate and help integrate AI/ML and agentic AI patterns (LLMs, RAG, multi-agent frameworks) into enterprise solution architectures where they add value.
• Cross-Functional Influence: Partner with product management, sales, customer, and engineering teams to align technical solutions with business needs.
• Hands-On Delivery: Actively contribute to development, maintaining high code quality and testing your own work before handoff to QA.
• Continuous Learning: Maintain up-to-date knowledge of existing and emerging technologies relevant to the role and communicate risks and issues clearly and in a timely manner.

The Technology Stack

• Architecture: Microservices, Enterprise Architecture, SaaS design patterns.
• AI/ML: LLMs, agentic AI frameworks (LangChain, AutoGen, CrewAI), prompt engineering, retrieval-augmented generation (RAG), vector databases.
• Data: PostgreSQL, data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Cloud & Infrastructure: Azure, AWS, Docker, Kubernetes, Terraform, Ansible.
• DevOps: CI/CD build pipelines, GitLab Runner (or equivalent).
• Languages: Python, Node.js.
• UI: React (or comparable frontend frameworks).

Qualifications

• The Systems Thinker: You see the whole picture — from data layer to infrastructure to user experience — and design architectures that hold up under real-world scale and complexity.
• The Pragmatic Builder: You view architecture as a hands-on discipline. You translate designs into working, well-tested code rather than diagrams alone.
• The Trusted Advisor: You are comfortable influencing cross-functional stakeholders — product, sales, customer, and engineering — and communicate technical trade-offs clearly.
• The Emerging-Tech Evaluator: You stay current on cloud-native and AI/agentic patterns and know when — and when not — to apply them to a given problem.

Must Haves:

• BS in Computer Science or a related STEM field.
• 10+ years of experience in software development of complex applications.
• Proven track record designing and implementing performant, resilient, and scalable SaaS applications following microservice architecture in real-world scenarios.
• Strong experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).
• Data modeling and database design experience (SQL Server, PostgreSQL, MongoDB).
• Experience with data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake).
• Knowledge of AI/ML technologies, including agentic AI frameworks (LangChain, AutoGen, CrewAI).
• Fluency in one or more of: Node.js, Python
• Experience with DevOps and build pipeline tooling (e.g., GitLab Runner).
• Experience writing unit tests and maintaining high code quality.
• Hands-on experience influencing cross-functional product management, sales, customer, and engineering teams.
• Advanced English communication skills.

Good to Have:

• UI experience such as React.
• Prior experience building technical or real-time acquisition software in the Oil & Gas industry.
• Azure AI Engineer, Azure Data Engineer, or Azure Architect certification.