Volia Software

US Company is searching for a Senior Data Engineer. Interesting project, distributed team, full-time, an official contract. Remote work, CET business hours.

Brief project description:
The product is a complex platform with applications realized like SaaS, which perform multiple functions for improving Safety, Sustainability and Productivity (works planning / incident management / monitoring & analytics) on high-risky industries: oil & gas gathering and transportation, chemical, building, energy market.

Main Responsibilities:

• Build and operate production data pipelines for product, analytics, and AI.
• Integrate internal/external sources with strong quality, reliability, and SLAs.
• Maintain and improve the data warehouse (performance, cost).
• Model curated datasets/semantic layers and implement transformations as code (dbt or similar).
• Ensure observability and operational readiness (tests, freshness checks, runbooks).
• Support embedded Power BI in production (monitoring, incidents, improvements).
• Partner with stakeholders and AI/ML teams to keep data current and clarify requirements.

Must-Have Requirements:

• 5+ years in data engineering / data platform / analytics engineering roles.
• Strong SQL and experience with relational databases and analytical warehouses/lakehouses.
• Proficiency in Python (or equivalent) for data processing, automation, and APIs.
• Experience with cloud platforms (AWS and/or Azure) and cloud-native data services.
• Production experience with workflow orchestration (Airflow/dbt or similar).
• Solid data modeling skills (dimensional modeling/star schema or equivalent).
• Strong software engineering habits: Git, CI/CD, automated testing, readable maintainable code.
• Clear communication in English and comfort explaining tradeoffs to non-experts.
• BI enablement: Power BI / Tableau / Looker.

Considered as a BIG plus:

• Experience with Snowflake /Databricks/ BigQuery or similar analytical engines.
• Infrastructure-as-code: Terraform, plus Docker
• Experience using AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code)
• Familiarity with GenAI/LLM and machine-learning fundamentals

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:
Step 1 - preliminary interview (main questions) - 30 mins
Step 2 - internal tech interview (tech questions) - 40-50 mins
Step 3 - tech interview with team leader and architect - 1 hour

US Company is searching for a couple of Senior AI Engineers into a complex, enterprise-level project for building sophisticated Agentic Systems, Adaptive RAG engines, capable of autonomous research to solve complex, real-world problems. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing of AI Center of Excellence.

Key areas of responsibility:

• Platform Engineering: Build and enhance scalable, reusable AI services (e.g., "Adaptive RAG Engine," "Text-to-SQL Service," and "Agentic Runtime") that product teams can easily integrate.
• Technical Contribution: Collaborate with principal engineers and architects. Participate in code reviews, write robust tests, and help drive the adoption of engineering best practices (CI/CD for AI, evaluation).
• Agentic Innovation: Develop and implement multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or PydanticAI or Databrics' Agent Brics).
• Data Engineering: Load datasets and knowledge sources from external systems. Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.
• Production Readiness: Help move prototypes to production with a focus on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.
• Collaboration & Enablement: Partner with product teams to implement their AI roadmaps. Translate business requirements into concrete technical implementations.

Required skills (at least one or more for each category):

• Professional Experience: At least 5 years of professional experience in software development or Data Science.
• Education: Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related natural science field.
• Python Expertise: At least 5 years of hands-on experience with Python, writing clean, maintainable, and production-ready code.
• Strong Software Engineering Foundation: distributed systems, API design (FastAPI), and cloud architecture.
• Data Engineering Expertise: Data Engineering and Big Data (DeltaLake, Databrics etc.) experience are a big plus.
• GenAI Engineering Experience: Hands-on experience building production RAG systems. Chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.
• Agentic Workflow Experience: You have experience building systems where LLMs use tools, maintain state, and execute multi-step plans. You are familiar with the challenges of loops, recursion, and hallucination mitigation.

Tech Stack:

• Languages: Python, TypeScript
• AI Frameworks: LangChain/LangGraph, Pydantic AI, MosaicAI
• Models: Azure OpenAI (GPT-4o, o1), Open Source LLMs (Llama 3, Mistral)
• Infrastructure: Azure AI Search, Azure Container Apps, Delta Lake, Vector Databases like Databrics Vector Search.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

US Company is searching for a SaaS Platform Architect. Interesting project, distributed team, full-time, an official contract. Remote work, CET business hours.

Brief project description:

• The product is a complex platform with applications realized like SaaS, which perform multiple functions for improving Safety, Sustainability and Productivity (works planning / incident management / monitoring & analytics) on high-risky industries: oil & gas gathering and transportation, chemical, building, energy market.

Main Responsibilities:

• Architect and build a secure, scalable multi-tenant SaaS platform on Azure.
• Make pragmatic architecture calls (monolith vs microservices) based on constraints, maturity, and outcomes.
• Implement resilient services : horizontal scaling, async processing, caching.
• Build for production from day one: observability, reliability, cost control, and operational excellence.
• Raise the engineering bar through pairing, code reviews, and clear technical direction.

Must-Have Requirements:

Mindset (Key traits):

• High Agency: You embrace ambiguity, drive decisions, and take extreme ownership of outcomes.
• Continuous Learner: You stay current with new technologies and patterns (including new AI/GenAI related technologies ). You tinker with new tech on weekends because you love it.

• Pragmatic: You balance "boring technology" stability with modern AI-driven innovation.

   

Cloud & Platform (Azure)

• Deep, hands-on Azure experience: Azure Container Apps, App Services, Functions, Service Bus, Azure SQL/Postgres, Front Door
• Designing and building multi-tenant SaaS architectures (you've shipped, not just designed)
• Scalability patterns: horizontal scaling, async processing, caching, sharding
• Microservices, event-driven systems, and knowing when a monolith is actually the right call
   

Hands-On Technical Skills

• You code: Proficient in at least one of C#/.NET, Java, Python, or TypeScript
• Modern Auth/Authz: You've designed and implemented modern authentication/authorization using the OpenID Connect Protocol and OAuth2.
• Cloud Security: You are familiar with common attack vectors to web applications (OWASP top 10), and know how to design software that is secure by default.

Communication & Collaboration

• Great Communicator: You can explain complex AI/Cloud concepts to non-technical stakeholders clearly.
• Flexible & Adaptable: You hold "strong opinions, loosely held." You adapt quickly when requirements or technology shifts.
• Mentorship: You elevate the team's bar through code reviews, pairing, and design discussions, not just edicts.

Considered as a BIG plus:

• Databricks: Unity Catalog, Delta Lake, Workflows, Databricks SQL
• Deep integration of Azure OpenAI / LLMs into production workflows
• Advanced RAG patterns
• Agentic workflows and tool-calling architectures

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 30 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

US Company is searching for a Senior Delphi developer to join a development team for an enterprise level platforms and services. Interesting project, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is a complex platform with applications realized like SaaS, which perform multiple functions for improving Safety, Sustainability and Productivity (works planning / incident management / monitoring & analytics) on high-risky industries: oil & gas gathering and transportation, chemical, building, energy market.

Responsibilities:

• Full-stack development and maintenance for the LCA product family across all layers from desktop clients, backend services and data layer, to API development and user interface design and implementation
• Develop functionality, applications and services in Delphi and C#
• Develop and design RESTful services and APIs
• Develop infrastructure and APIs to support custom projects, such as customer specific LCA
  tools, or integrations of the LCA product family with ERP, CRM, PLM…
• Analyze requirements, suggest concepts, and assess development efforts.
• Analyze technology trends and harmonize our technology landscape to make it future proof.
• Work in a scrum team.
• White box testing and development of unit tests
• Technical system documentation (source code documentation, external documentation,
  bug-tracking system, design documentation etc.)
• Refactor modules to address the most relevant weak spots.
• 3rd-level support

Required Skills and Experience:

• Experience in developing desktop software applications - 3 years) 
• Experience with Delphi - 3 years)
• Experience in developing APIs - years)
• Fluent in English
• Experience with scrum development process - 2 years)

Skills Considered a Plus:

• Experience in C# or similar object-oriented languages - 2 years)
• Domain expertise in life-cycle assessment, or a strong passion for the field
• Scrum master experience
• Azure and Azure DevOps experience

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

US Company is searching for a couple of Senior MLOps Engineers into a complex, enterprise-level project for maintaining of Multi AI Agentic platform. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing and maintaining of AI Center of Excellence.

Key areas of responsibility:

• Support application infrastructure to ensure platform is optimized for performance and reliability.
• Build and maintain supporting infrastructure for cloud environments and applications.
• Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle
• Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness
• Building and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow),
• Use a wide range of Azure resources to implement scalable, reliable and cost-efficient services.
• Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems.
• Perform and automate system administration services including installation, configuration, maintenance, and disaster recovery
• Identify system level issues related to OS configuration and virtual hardware bottlenecks.
• Automation, auditing, and other tooling for security, compliance, and resource usage - Monitor and improve processes for all deployments.
• Take ownership of operational excellence to establish and maintain business focused KPI’s. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team’s success.
• Maintain and take ownership of your tasks each sprint ensuring time worked is logged and details are added.

Required skills (at least one or more for each category):

• Excellent communication and collaboration skills.
• Ability to communicate effectively with multiple disciplines.
• Strong analytical skills with the ability to drive reliability improvements.
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• Proven success managing and optimizing CI/CD for an Azure-based SaaS application.
• Hands-on-experience with common DevOps tools, including Azure DevOps.
• Strong scripting skills with at least PowerShell or Bash.
• Experience with configuration management tools like Terraform.
• Working knowledge of version control/source code management tools.
• Experience working in an agile software development life cycle.
• Working knowledge of databases including SQL and NoSQL
• Strong knowledge of web server configuration and management like IIS or Tomcat.
• Working knowledge of local and wide area networking and associated technologies, e.g. switches, routers, firewalls, VPNs.
• Strong understanding of security principles.
• Bachelor’s Degree in Computer Science or similar area of study.
• Experience working in a technical fast paced environment with high demand and high standards.
• Ability to assimilate information quickly under pressure.
• Strong planning skills to ensure business expectations are met and projects are delivered on time.

Tech Stack:

• Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus.
• Cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke based architecture, Private Endpoints, etc)
• Strong understanding of CI/CD (YAML and Classic Pipelines)
• PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks)
• Monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc)
• Some experience with Containers/Docker either for a microservice based architecture or Service Orientated etc
• Git, ARM, Terraform, Ansible, Azure CLI or similar.
• JavaScript, React, C#, Java, PowerShell, Bash or similar.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 30 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

US Company is searching for a Tech Lead for a team of software engineers building .NET and ReactJS web applications deployed in Azure. Interesting project, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is a complex platform with applications realized like SaaS or mobile apps, which perform multiple functions for improving Safety, Sustainability and Productivity (works planning / incident management / monitoring & analytics) on high-risky industries: oil & gas gathering and transportation, chemical, building, energy market.

Tech Skills:

• Comfortable in Designing and Managing APIs.
• Designing and Prototyping Software systems:
• Comfortable with patterns like Self-Contained Systems and Microservices.
• Familiarity with Micro-Frontends is a plus
• Experienced with Identity and Access Management
• Comfortable with Oauth2 and OpenID Connect
• Network level security knowledge would be a plus

Azure Knowledge:

• Azure API Management
• Azure Service Bus
• Azure Functions

Experience with Programming Languages:

• Typescript / React
• .Net core

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour