Jobs Software Architect

What is the purpose of this position?
We are looking for a Senior Integration Architect with WorkApp experience for full-time (40 hours a week) cooperation. The approximate involvement duration is about a year. 

WorkApp is a Business Operating System designed to help companies organize, execute, measure, and continuously improve their work. This role focuses on leading the integration of WorkApp with the third-party systems customers rely on for communication, transactions, information management, and AI-powered tools.
 

In this role, you will be in charge of:

• Analyze customers' existing systems, data sources, and workflows to architect integrations between WorkApp and third-party platforms.
• Convert business needs into precise, actionable technical integration specs.
• Build integrations leveraging APIs, webhooks, middleware, and automation tools.
• Establish secure pathways for AI to access and utilize operational, transactional, and communication data.
• Create reusable integration frameworks, templates, and best-practice standards.
   

Technical qualifications you'll need to bring:

• 8+ years of experience in systems integration, solution architecture, enterprise applications, or a related discipline.
• Hands-on experience with WorkApp.
• Strong background in integration platforms, middleware, and Cloud SaaS architecture.
• Proficiency with REST APIs, Webhooks, OAuth, and authentication mechanisms.
• Expertise in data mapping, transformation, and system-of-record design.
• Experience with event-driven workflows, error handling, and monitoring.
• Working knowledge of Large Language Model capabilities, data privacy, and information security boundaries.
• B1 English level at least for day-to-day direct communication with the customer and his team. 
   

Nice to have:

• Coding or scripting skills.
• Familiarity with Microsoft 365, Google Workspace, CRM platforms, ERP, accounting systems, HRIS, ATS, and collaboration tools.
• Experience with workflow automation, event-driven architecture, and identity and access management.
• Exposure to AI applications, AI agents, and Retrieval-Augmented Generation (RAG).

We offer:

• Possibility of payment by FOP, personal card, or Payoneer
• Work from home or the ability to work from a coworking space
• No bureaucracy
• Friendly atmosphere with quarterly teambuildings

Interview process:

There is 1 internal interview step: HR interview. After its successful passing, you’ll have a series of interviews with a customer, including a technical and a culture fit.
 

Ready to try your hand? Do not pull the cat’s tail, send your CV without a doubt!

Movadex Labs is looking for a highly technical Solutions Architect to help design and deploy custom AI systems for enterprise clients. This is not a generic consulting role. You will work at the intersection of business workflows, AI infrastructure, data architecture, agentic systems, and production engineering.

You will work closely with our Business Analyst, product/enterprise design lead, and engineering team to translate messy enterprise needs into clear technical architectures, sandbox environments, implementation plans, and deployable AI solutions.

The ideal person understands how to move from “the client has a workflow problem” to “here is the architecture, data flow, model/tooling layer, security approach, integration plan, and technical execution roadmap.”

What you’ll do

Work with the BA to understand client workflows, internal systems, data sources, approval flows, users, edge cases, and business constraints.

Design technical discovery frameworks and AI sandboxes for enterprise clients, including data ingestion, knowledge layers, vector search/RAG, workflow orchestration, evaluation loops, permissions, observability, and deployment options.

Architect custom agentic systems that can operate across internal documents, structured data, APIs, tools, and human-in-the-loop processes.

Define the right AI infrastructure for each use case: LLM providers, model routing, embeddings, vector databases, orchestration frameworks, retrieval pipelines, eval systems, monitoring, guardrails, and hosting environment.

Create implementation blueprints for engineering teams, including system diagrams, integration maps, API requirements, data requirements, deployment approach, security considerations, and phased delivery plans.

Support enterprise pilots from technical discovery through sandbox build, prototype, production deployment, and post-launch optimization.

Help evaluate whether a workflow should be solved with RAG, fine-tuning, workflow automation, agent orchestration, rules-based logic, traditional software, or a combination of approaches.

Partner with product/design to make sure the AI system is not just technically functional, but actually usable, adoptable, and measurable inside the client’s organization.

Collaborate with engineers during implementation, review architecture decisions, unblock technical issues, and ensure the final system matches the intended design.

Help build reusable internal assets, including reference architectures, agent templates, sandbox environments, evaluation patterns, deployment playbooks, and technical documentation.

What we’re looking for

Strong experience designing production software systems, ideally in enterprise, AI, data, SaaS, automation, or cloud environments.

Deep understanding of modern AI infrastructure: LLM APIs, RAG, embeddings, vector databases, agent frameworks, tool calling, evals, prompt orchestration, model routing, guardrails, observability, and deployment tradeoffs.

Ability to work with messy, ambiguous enterprise requirements and turn them into clear technical plans.

Strong understanding of backend systems, APIs, databases, cloud architecture, authentication, permissions, security, and integration patterns.

Comfortable designing sandbox environments and proof-of-concept systems that can later scale into production.

Ability to communicate clearly with both technical and non-technical stakeholders.

Strong documentation skills: architecture diagrams, technical specs, implementation plans, and engineering handoff materials.

Practical, product-minded thinking. You should know when to use advanced AI infrastructure and when a simpler workflow automation or software solution is the better answer.

Experience with AWS, Azure, or GCP is strongly preferred.

Experience with Python, TypeScript/Node.js, FastAPI, LangChain/LangGraph, LlamaIndex, OpenAI/Anthropic APIs, vector DBs, or similar tools is a strong plus.

You are a strong fit if

You can sit in a client discovery session, understand the business process, ask sharp technical questions, and quickly see what kind of AI system should be built.

You are not just an engineer and not just a consultant. You can bridge strategy, architecture, and implementation.

You understand that enterprise AI is not only about prompts or models. It is about workflows, data readiness, integrations, permissions, evals, adoption, and measurable ROI.

You can design something that engineers can actually build.

Wish to be part of a strong team of professionals and create innovative, AI-powered solutions using the latest Microsoft technologies? Then this opportunity is definitely for you!

You will build on Dynamics 365 CE / Power Platform in a client agile team and extend the platform with AI capabilities on Azure AI Foundry. Senior hands-on role with design responsibility for your own workstream.

Start: August 2026

You will be an ideal candidate if you have:

• 6+ years hands-on development on Dynamics 365 CE / Power Platform
• Deep Dataverse competence: data modeling, security model, solution design
• Plugin development in C#/.NET, Power Automate, model-driven apps, PCF/JavaScript
• Azure AI Foundry: agent development, model deployment, orchestration
• Azure OpenAI integrated into Power Platform solutions (Dataverse, Power Automate, Copilot Studio)
• RAG patterns with Azure AI Search
• Azure integration services: Functions, Logic Apps, REST APIs
• ALM: solution strategy, environment management, Azure DevOps pipelines
• Fluent English, comfortable embedded in client teams and agile ceremonies

Strong plus:

• AI functionality shipped to production in a Power Platform context
• Copilot Studio custom agents extended toward Foundry agents
• Power Pages
• Microsoft Agent Framework or Semantic Kernel
• Norwegian language skills is a bonus

Certifications:

• PL-400 expected
• AI-102 and PL-600 strong plus

Why is this role unique?

• Opportunity to work with the latest Microsoft AI technologies, including Azure AI Foundry and Azure OpenAI
• Hands-on role with ownership of your own technical workstream and solution design
• Challenging enterprise projects with international clients across different industries
• Close collaboration with experienced Microsoft consultants, architects, and AI specialists
• Real opportunity to influence technical decisions and deliver innovative AI-powered business solutions

Why join LogiqApps?

• Experienced and collaborative team with strong Microsoft expertise
• Exciting international projects using the latest Microsoft technologies
• Flexible remote working environment with a healthy work-life balance
• Continuous learning through certifications, training, conferences, and knowledge sharing
• A supportive culture where your ideas matter, and you have the freedom to take ownership of your work
• Professional growth opportunities and the chance to work on cutting-edge Dynamics 365, Power Platform, Azure, and AI solutions

At LogiqApps, we believe in collaboration, continuous learning, and building technology that creates real business value. If you're passionate about Microsoft technologies and AI, we'd love to hear from you!

We are looking for a Senior Software Architect to join the IT Solutions department at Sigma Software and help shape the future of our internal digital ecosystem.

In this role, you will design and evolve enterprise platforms that support business process automation, integrations, and AI-enabled capabilities across the company. You will work in a complex enterprise environment, driving architectural decisions and guiding engineering teams through multiple strategic initiatives.

We as a company invest in modern technologies, scalable systems, and internal innovation to provide our employees with the best digital tools and environments. This is an opportunity to influence high-impact solutions used across the organization while working with modern architecture approaches and AI-driven transformation initiatives.

CUSTOMER
The IT Solutions department at Sigma Software is responsible for building and evolving internal digital ecosystems that support business operations globally. The department focuses on enterprise-grade business applications, automation solutions, integrations, and modern digital tools that improve operational efficiency and collaboration. The team continuously explores innovative technologies, including AI-enabled capabilities, to support company-wide digital transformation initiatives.

PROJECT
The project focuses on designing and evolving internal enterprise platforms and systems that support automation, integrations, and digital transformation initiatives across Sigma Software. The Software Architect will contribute to scalable and maintainable solutions for business operations while ensuring alignment between architecture strategy and organizational goals.

The environment includes multiple parallel initiatives with growing system complexity and increasing adoption of AI-assisted capabilities. The role combines strategic architecture ownership with hands-on technical leadership to help teams deliver reliable, scalable, and business-oriented solutions.

Key Technologies: JavaScript, Node.js, React.js,REST API, GraphQL, Enterprise integrations, Automation workflows, AI-enabled solutions

RESPONSIBILITIES:

• Work with stakeholders and participate in solution discovery, initial design, and estimation
• Design scalable and maintainable architectures aligned with business goals
• Take ownership of key architectural decisions and ensure long-term sustainability
• Evaluate alternatives and document the rationale behind key architectural decisions
• Guide engineering teams and ensure implementation aligns with architectural vision
• Ensure implementation stays aligned with the architecture throughout all project iterations
• Design solutions involving integrations, automation, and data flows, including AI components where appropriate
• Ensure that AI usage is practical, controlled, and aligned with system constraints
• Ensure scalability, performance, and reliability under growing load and complexity
• Define measurable targets for quality attributes and track architecture fitness against them
• Create reference implementations and support teams in solving complex technical challenges
• Balance technical excellence with budget and schedule constraints, avoiding unnecessary over-engineering
• Build consensus with engineering teams and communicate architectural decisions constructively
• Ensure that solutions deliver measurable business value

REQUIREMENTS:

• 7+ years of software engineering experience with strong expertise in software architecture and system design
• Hands-on experience with JavaScript, Node.js, and React.js
• Strong experience designing REST and/or GraphQL APIs
• Deep understanding of architecture principles, design patterns, scalability, integrations, and risk management
• Experience working in enterprise environments with multiple stakeholders and parallel initiatives
• Understanding of AI/ML fundamentals, AI-assisted development tools, and AI-related risks
• Ability to translate business requirements into scalable technical solutions
• Strong communication, collaboration, and stakeholder management skills
• Experience guiding engineering teams and making architectural decisions
• Ability to work in environments with evolving or incomplete requirements
• Upper-Intermediate or higher English level

WILL BE A PLUS:

• Experience designing AI-enabled enterprise solutions
• Experience with business process automation platforms
• Experience building complex integration ecosystems
• Knowledge of cloud-native architecture approaches
• Experience defining architecture fitness functions and measurable quality metrics

Movadex Labs is looking for a highly technical Solutions Architect to help design and deploy custom AI systems for enterprise clients. This is not a generic consulting role. You will work at the intersection of business workflows, AI infrastructure, data architecture, agentic systems, and production engineering.

You will work closely with our Business Analyst, product/enterprise design lead, and engineering team to translate messy enterprise needs into clear technical architectures, sandbox environments, implementation plans, and deployable AI solutions.

The ideal person understands how to move from “the client has a workflow problem” to “here is the architecture, data flow, model/tooling layer, security approach, integration plan, and technical execution roadmap.”

What you’ll do

Work with the BA to understand client workflows, internal systems, data sources, approval flows, users, edge cases, and business constraints.

Design technical discovery frameworks and AI sandboxes for enterprise clients, including data ingestion, knowledge layers, vector search/RAG, workflow orchestration, evaluation loops, permissions, observability, and deployment options.

Architect custom agentic systems that can operate across internal documents, structured data, APIs, tools, and human-in-the-loop processes.

Define the right AI infrastructure for each use case: LLM providers, model routing, embeddings, vector databases, orchestration frameworks, retrieval pipelines, eval systems, monitoring, guardrails, and hosting environment.

Create implementation blueprints for engineering teams, including system diagrams, integration maps, API requirements, data requirements, deployment approach, security considerations, and phased delivery plans.

Support enterprise pilots from technical discovery through sandbox build, prototype, production deployment, and post-launch optimization.

Help evaluate whether a workflow should be solved with RAG, fine-tuning, workflow automation, agent orchestration, rules-based logic, traditional software, or a combination of approaches.

Partner with product/design to make sure the AI system is not just technically functional, but actually usable, adoptable, and measurable inside the client’s organization.

Collaborate with engineers during implementation, review architecture decisions, unblock technical issues, and ensure the final system matches the intended design.

Help build reusable internal assets, including reference architectures, agent templates, sandbox environments, evaluation patterns, deployment playbooks, and technical documentation.

What we’re looking for

Strong experience designing production software systems, ideally in enterprise, AI, data, SaaS, automation, or cloud environments.

Deep understanding of modern AI infrastructure: LLM APIs, RAG, embeddings, vector databases, agent frameworks, tool calling, evals, prompt orchestration, model routing, guardrails, observability, and deployment tradeoffs.

Ability to work with messy, ambiguous enterprise requirements and turn them into clear technical plans.

Strong understanding of backend systems, APIs, databases, cloud architecture, authentication, permissions, security, and integration patterns.

Comfortable designing sandbox environments and proof-of-concept systems that can later scale into production.

Ability to communicate clearly with both technical and non-technical stakeholders.

Strong documentation skills: architecture diagrams, technical specs, implementation plans, and engineering handoff materials.

Practical, product-minded thinking. You should know when to use advanced AI infrastructure and when a simpler workflow automation or software solution is the better answer.

Experience with AWS, Azure, or GCP is strongly preferred.

Experience with Python, TypeScript/Node.js, FastAPI, LangChain/LangGraph, LlamaIndex, OpenAI/Anthropic APIs, vector DBs, or similar tools is a strong plus.

You are a strong fit if

You can sit in a client discovery session, understand the business process, ask sharp technical questions, and quickly see what kind of AI system should be built.

You are not just an engineer and not just a consultant. You can bridge strategy, architecture, and implementation.

You understand that enterprise AI is not only about prompts or models. It is about workflows, data readiness, integrations, permissions, evals, adoption, and measurable ROI.

You can design something that engineers can actually build.

We are looking for a Solution Architect with deep expertise in AWS and strong hands-on technical capabilities to lead the design and delivery of secure, scalable, and high-performing systems. In this role, you will define AWS-first architecture, provide technical leadership to development teams, and ensure that solutions align with both business objectives and modern technology standards.

You will be responsible for setting the technical direction, overseeing implementation, and driving architectural consistency across projects. You will work closely with engineering teams and engage directly with executive stakeholders, including the CTO and other C-level leaders, to shape technology strategy and guide key architectural decisions.

A cutting-edge internet filtering platform engineered to deliver highly customizable and secure browsing experiences across Windows and Android devices. The solution serves individuals, families, businesses, and communities seeking fine-grained content control and robust online safety. The system comprises multiple integrated components that work together to provide high-quality filtering capabilities while offering exceptional flexibility in configuration. At the core of the platform is a suite of web-based portals that support user management, filtering settings, and administrative controls. These portals are continuously enhanced and extended to ensure a unique, user-centric filtering experience without compromising browsing security or performance.

You Have

• 10+ years of experience in software engineering, including Solution Architecture or Senior AWS Developer roles.
• Strong experience designing large-scale distributed systems, microservices, and event-driven workflows.
• Proven expertise building cloud-native and serverless architectures, ideally on AWS (Lambda, API Gateway, S3, DynamoDB, RDS, IAM, EventBridge, SQS)
• Hands-on development experience with Node.js, preferably in serverless-first environments.
• Understanding of modern front-end ecosystems, especially React/TypeScript.
• Solid grasp of architectural patterns, API design (OAuth2, OpenID Connect), security best practices, and cloud governance.
• Experience with PostgreSQL, stored procedures, JSON-based schemas, and data modeling for modern cloud systems
• Proficiency with DevOps workflows and IaC (Terraform/CDK), CI/CD pipelines, containerization (Docker), and orchestration (ECS preferred over EKS
• High emotional intelligence, adaptability, and ability to operate in a consulting / advisory model.
• Stack-agnostic mindset and ability to work with evolving technologies and adapt architecture decisions as the stack changes over time.
• Ability to challenge assumptions, validate architectures, and justify solution decisions with clarity and evidence
  
   

Would be a plus

• Experience modernizing systems into cloud-native architectures.
• Knowledge of enterprise architecture frameworks (TOGAF or similar)
• Experience working with hybrid environments (.NET + modern cloud/serverless)
• Experience with AI/ML integration and AWS AI services (e.g., Bedrock, Amazon Q

You Are Going To

• Lead the design of modern, cloud-native, and serverless architectures aligned with the client’s long-term technology vision.
• Drive the rewrite and modernization of selected legacy .NET modules into Node.js/React services.
• Ensure solutions follow defined architectural guidelines and comply with the overarching technical strategy.
• Participate in early-stage discovery and translate complex business needs into clear technical strategies.
• Build architectural documentation
• Leverage PostgreSQL capabilities to increase performance and reduce unnecessary service complexity.
• Support the transition to a new architecture while maintaining operational continuity
• Provide technical guidance to engineers and tech leads across backend & frontend domains
• Support the adoption of AWS AI/ML services within the product ecosystem
• Conduct PoCs to validate technical approaches, AI integrations, and cloud-native design patterns
• Collaborate with frontend teams designing SSR-based solutions using React + Next.js
• Ensure scalability, security, observability, and maintainability across all system components
• Work closely with Product, Business, DevOps, and engineering teams to support decision-making and solution delivery
• Engage regularly with stakeholders to communicate architecture choices, risks, and trade-offs
• Support estimation, scoping, and decomposition of new features and rewrite initiatives