
201 - 500 employees
Founded 2016
🔒 Cybersecurity
💸 Finance
Cybersecurity • Finance
Atlas Technica is a strategic partner for the Alternative Investment Industry, providing outsourced IT services focused on technological excellence. The company offers a range of services including designing IT infrastructure for optimal performance, scalability, and cost-efficiency, ensuring alignment with business objectives. Atlas Technica also specializes in cybersecurity solutions to protect against cyber threats and ensure compliance with industry regulations. As a 'Public Cloud First' company, Atlas Technica provides cloud transformation services that enhance agility, flexibility, and resource accessibility. By focusing on multi-layered security protocols, they safeguard sensitive investment data, ensuring confidentiality and integrity for their clients.
🔥 14 hours ago
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201 - 500 employees
Founded 2016
🔒 Cybersecurity
💸 Finance
Cybersecurity • Finance
Atlas Technica is a strategic partner for the Alternative Investment Industry, providing outsourced IT services focused on technological excellence. The company offers a range of services including designing IT infrastructure for optimal performance, scalability, and cost-efficiency, ensuring alignment with business objectives. Atlas Technica also specializes in cybersecurity solutions to protect against cyber threats and ensure compliance with industry regulations. As a 'Public Cloud First' company, Atlas Technica provides cloud transformation services that enhance agility, flexibility, and resource accessibility. By focusing on multi-layered security protocols, they safeguard sensitive investment data, ensuring confidentiality and integrity for their clients.
• Build rapid proofs of concept and production-ready components for AI-enabled research, data access, document analysis, workflow automation, reconciliation, and internal application use cases • Develop, review, refactor, test, and maintain application code using Python and other supported technologies • Build and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services • Connect AI-enabled workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data stores, third-party platforms, and approved AI services • Implement retrieval and data-processing solutions using embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware patterns • Deploy and operate applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns • Build repeatable development and release processes using Git, CI/CD, Docker, automated testing, and infrastructure automation • Implement authentication, authorization, role-based access, secrets management, logging, monitoring, environment separation, and other security controls • Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, dependency failure, and other production-readiness risks • Participate in architecture reviews, code reviews, client technical sessions, troubleshooting, production-readiness assessments, and technical handoffs • Maintain implementation documentation, diagrams, runbooks, testing evidence, and technical decisions while communicating blockers, scope changes, and delivery risks • Contribute reusable code, deployment templates, testing approaches, connector patterns, and engineering standards to Atlas Technica’s Ukraine-based AI capability
• 5+ years of professional software engineering experience, including recent hands-on work with AI-enabled applications, cloud applications, data systems, or enterprise integrations • Strong Python development skills with experience building APIs, services, scripts, applications, or data workflows • Experience with at least one additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a comparable technology • Hands-on Microsoft Azure experience across application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment • Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), embeddings, structured outputs, prompt design, and model limitations • Experience building or integrating APIs, connectors, MCP components, databases, data platforms, or enterprise workflow systems • Strong understanding of authentication, authorization, role-based access control, least privilege, environment separation, and secure secrets management • Experience with Git, CI/CD, Docker, automated testing, production troubleshooting, and modern software-development practices • Ability to write clean, maintainable, and testable code and clearly explain technical and implementation decisions • Strong problem-solving, ownership, documentation, and follow-through skills with the ability to work effectively in a remote and collaborative delivery environment • English proficiency at B2 level or higher, with the ability to participate effectively in technical client discussions and produce clear written documentation • Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, or comparable AI orchestration technologies • Experience with Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, or Power Platform • Experience with Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, or similar data and application platforms • Experience developing evaluation datasets, regression tests, or approaches for testing non-deterministic AI components • Experience moving prototypes, internally developed applications, vendor solutions, or citizen-developed applications toward controlled production use • Experience supporting financial services, regulated industries, enterprise clients, or environments with strong security and compliance requirements • Relevant Microsoft Azure, AI, software engineering, or cloud certifications • Experience creating reusable engineering patterns, mentoring junior engineers, or contributing to engineering standards and technical knowledge sharing
• Competitive salary • Comprehensive benefits • Great perks • Professional and career development opportunities • Professional yet friendly work environment
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