Support Engineer

We are seeking a highly hands-on
Senior Data & AI Solution Architect
to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role translates business requirements into secure, scalable, supportable architectures and guides delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement.

Key responsibilities:

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Requirements:

Must have:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages:

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Company Description
Join a growing DevOps community at Sigma Software and build hands-on experience with modern cloud infrastructure, CI/CD pipelines, automation, and Infrastructure as Code. We are looking for a Junior DevOps Engineer eager to develop technical expertise while working alongside experienced professionals on international projects.

You will become part of a top-notch DevOps team of more than 30 specialists collaborating across cloud-native platforms, enterprise systems, and scalable digital products. We as a company support continuous learning, mentoring, certification growth, and transparent career development.

This role is a great opportunity for engineers who want to strengthen their cloud and automation skills in a collaborative environment with access to Senior and Principal-level mentorship.

Job Description

• Set up, configure, test, and maintain infrastructure across development, staging, testing, and production environments
• Contribute to Infrastructure as Code implementation following established modules, conventions, and review processes
• Support CI/CD pipeline configuration, maintenance, release preparation, and deployment activities
• Investigate incidents by collecting logs and monitoring evidence, performing initial triage, and documenting resolutions
• Configure monitoring checks, alerts, and participate in backup and recovery procedures
• Follow security best practices including least-privilege access management and secure secrets handling
• Maintain infrastructure documentation, deployment instructions, architecture diagrams, and operational runbooks
• Collaborate with developers, QA engineers, security specialists, and operations teams
• Continuously improve technical skills through mentoring, certifications, and project participation

Qualifications

• 1+ years of hands-on experience with at least one public cloud platform: AWS, Azure, or GCP
• Solid understanding of Linux administration and networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, services, packages, and system metrics
• Understanding of CI/CD principles and practical exposure to GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or TeamCity
• Understanding of containerization concepts and practical experience with container images and runtime environments
• Scripting experience using Shell and either Python or PowerShell
• General understanding of Infrastructure as Code and configuration management tools such as Terraform and Ansible
• Understanding of SDLC processes and DevOps principles
• Basic knowledge of databases, monitoring, logging, backup, storage, and security concepts
• Understanding of authentication and authorization concepts, TLS, and secure secrets management
• Experience using AI assistants responsibly while validating outputs and maintaining data security standards
• Good communication and collaboration skills
• At least an Upper-Intermediate level of English

WILL BE A PLUS

• Experience with Kubernetes or other orchestration platforms
• Hands-on experience with Terraform or Ansible in production environments
• Experience with centralized logging and monitoring tools such as Prometheus, Grafana, ELK Stack, CloudWatch, or Datadog
• Exposure to GitOps practices
• Familiarity with AI/LLM services or vector databases in infrastructure-related scenarios
• Cloud or Linux-related certifications

Additional Information

PERSONAL PROFILE

• Strong willingness to learn and grow within a professional DevOps environment
• Proactive and ownership-oriented mindset
• Ability to collaborate effectively in cross-functional teams
• Attention to detail and structured approach to operational tasks
• Good analytical and problem-solving skills

Role Description
We are seeking a
Validation Engineer
to join our engineering team and support the validation of next-generation IPU (Infrastructure Processing Unit) card solutions. The ideal candidate will have experience in Python-based automation, Linux system validation, simulation environments, and hardware/software debugging. This role involves working closely with cross-functional teams to ensure product functionality, quality, and performance throughout the development lifecycle.

Key Responsibilities

• Develop, execute, and maintain validation test plans for IPU cards using Python-based automation.
• Design and enhance Python automation frameworks, test scripts, and validation utilities.
• Set up, configure, and maintain simulation and emulation environments for pre-silicon and system-level validation.
• Perform Linux-based validation activities, including kernel, driver, and platform-level testing.
• Validate IPU firmware functionality within simulation and emulation environments.
• Collaborate with hardware, firmware, and software engineering teams to investigate, debug, and resolve issues.
• Analyze validation results and test data to identify functional defects and performance concerns.
• Document test procedures, validation coverage, defects, and test outcomes.
• Support bring-up, characterization, and debugging of new IPU card revisions.
• Manage source code and validation assets using Git and standard version control practices.
• Utilize traffic generation and network validation tools such as Iperf, IXIA, Scapy, or similar technologies.
• Contribute to continuous improvement of validation methodologies, automation frameworks, and testing processes.

Required Qualifications
Education

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• Equivalent practical experience will also be considered.

Experience

• 2+ years of experience in hardware, firmware, system validation, or software testing.
• Experience developing automated test solutions using Python.
• Hands-on experience with Linux operating systems and command-line tools.
• Experience debugging software and hardware integration issues.
• Familiarity with simulation or emulation-based validation environments.
• Experience working with Git or other version control systems.

Technical Skills

• Strong Python programming skills.
• Strong Linux troubleshooting and validation experience.
• Understanding of networking concepts and protocols.
• Experience with test automation frameworks and scripting.
• Ability to analyze logs, traces, and validation data.
• Knowledge of firmware and low-level system validation methodologies.

Preferred Qualifications:

• Experience validating networking, accelerator, NIC, SmartNIC, DPU, IPU, or embedded hardware products.
• Familiarity with Linux kernel, device drivers, and system internals.
• Experience with pre-silicon validation, simulation, or emulation platforms.
• Knowledge of networking performance and traffic analysis tools such as:

• Iperf
• IXIA
• Scapy
• Wireshark

• Exposure to CI/CD environments and automated validation pipelines.
• Understanding of hardware interfaces, PCIe, Ethernet, and system architecture.

Key Competencies:

• Strong analytical and problem-solving skills.
• Excellent debugging and troubleshooting abilities.
• Ability to work in a fast-paced, collaborative engineering environment.
• Effective communication and documentation skills.
• Self-motivated with a focus on quality and continuous improvement.

Nice to Have:

• Experience with Intel IPUs, DPUs, SmartNICs, or networking platforms.
• Knowledge of virtualization and container technologies.
• Familiarity with performance benchmarking and scalability testing.
• Experience working in Agile development environments.

Skills
Debugging, Linux, Functional Testing

Description & Requirements
Who we are looking for
Are you an experienced technology leader ready to shape and deliver enterprise-grade Agentic AI solutions? We are looking for an
Agentic AI Solution Architect
with strong software engineering and cloud architecture expertise who can combine strategic architectural thinking with hands-on technical leadership.

What you bring:

• 10+ years of experience in software engineering
  , including at least
  4 years in cloud or solution architecture
  ;
• Proven experience in
  leading the technical delivery of Generative AI or Agentic AI solutions
  , including guiding engineering teams through architecture, development, and implementation;
• Strong command of
  spoken and written English
  , enabling confident collaboration with teams and stakeholders across Deloitte Central Europe;
• Strong knowledge of cloud architecture, including
  compute, storage, networking, security, scalability, and performance optimization
  ;
• Proven experience designing
  distributed systems, microservices, API-led integrations, and event-driven architectures
  ;
• Hands-on experience with
  containers, Docker, DevOps and continuous integration and delivery practices
  , REST APIs, authentication, authorization, single sign-on, security, and governance;
• Practical experience with Agentic AI frameworks and cloud services, preferably including
  LangGraph, Google Agent Development Kit, Microsoft Agent Framework, CrewAI, FastAPI, Amazon Bedrock AgentCore
  , and relevant AWS components such as Cognito, S3, Lambda, Fargate, DynamoDB, and API Gateway.

Nice to have:

• Experience with
  Microsoft Azure AI Foundry
  and related Azure services;
• Experience with
  Google Vertex AI, Gemini Enterprise, or Google Cloud agent platforms
  ;
• Practical knowledge of equivalent cloud services across AWS, Microsoft Azure, and Google Cloud.

Your future role
As an
Agentic AI Solution Architect
, you will play a leading technical role in Deloitte Central Europe’s Agentic AI engineering initiatives. You will shape scalable architectures, guide engineering teams, and take technical ownership of large Agentic AI projects and platforms, primarily within the AWS ecosystem.

In this role, you will:

• Partner with Deloitte Central Europe stakeholders to
  shape and advance regional Agentic AI engineering initiatives
  ;
• Lead the technical architecture and delivery of
  large-scale Agentic AI solutions and platforms
  , primarily on AWS;
• Define architecture principles, solution patterns, technical roadmaps, and key engineering decisions;
• Guide engineering teams throughout solution design, development, integration, deployment, and optimization;
• Design secure and scalable solutions based on
  distributed systems, microservices, APIs, event-driven architectures, and containerized workloads
  ;
• Establish appropriate security and governance controls covering role-based access, encryption, authentication, authorization, auditability, and single sign-on;
• Work hands-on with Agentic AI frameworks, Generative AI platforms, cloud-native services, REST APIs, Docker, and continuous integration and delivery practices;
• Collaborate with technical and business stakeholders across Deloitte Central Europe, translating business needs into practical and sustainable technical solutions;
• Contribute to technical standards, reusable components, delivery practices, and capability development within the AI & Data team.

The role offers
remote work
, provided that the successful candidate is physically based in Ukraine.

What we offer

• An opportunity to
  shape and lead Agentic AI initiatives
  with visibility across Deloitte Central Europe;
• Technical ownership of complex, enterprise-scale AI projects and platforms;
• Collaboration with experienced AI, Data, Cloud, and Engineering professionals across the Central European region;
• A
  remote working model from anywhere in Ukraine
  ;
• Cooperation under a
  GIG contract
  ;
• Access to professional development opportunities, including
  internal and external training and relevant certification paths
  ;
• Access to
  LinkedIn Learning, Udemy courses, and English language courses
  ;
• Employee Assistance and wellbeing programs;
• Discounts for sports clubs;
• Referral and recognition programs;
• Flexible working arrangements;
• A mobile phone benefit applicable to Manager-level roles and above.

Selection process
Our recruitment process is designed to give you a clear understanding of the role, the team, and the technical challenges you may work on.

• CV review
• 15-minute recruitment pre-screening call
• Technical interview
• Leadership interview
• Offer

Please submit your
CV in English
. We will keep you informed about the outcome of your application throughout the recruitment process.

About Deloitte
Deloitte provides industry-leading audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to clients around the world. Through its global network of member firms and related entities, Deloitte brings together multidisciplinary capabilities, industry knowledge, and technology expertise to help organizations address complex challenges and create lasting value.

At Deloitte Central Europe, professionals across multiple countries collaborate to deliver local insight and regional expertise. We support organizations in navigating technological and business transformation while providing our people with opportunities to work across markets, develop new capabilities, and contribute to meaningful projects

About the team
You will join Deloitte’s
AI & Data team
, working with specialists who combine artificial intelligence, data, cloud, and software engineering capabilities. The team collaborates across Deloitte Central Europe to design and deliver technology solutions that help organizations adopt AI securely, responsibly, and at scale.

In this role, you will contribute technical leadership and architecture expertise to Agentic AI initiatives while working closely with multidisciplinary teams across the region.