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Jobs by
📌 Promowane
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// oferta pracy
AI Platform Engineer
apreel
wszystkie oferty tej firmy →
26 900 – 35 300 PLN/mies.
// opis stanowiska
Czym będziesz się zajmować?
Zakres planowanych prac:
Rozwój i utrzymanie Platformy AI w środowisku Microsoft Azure.
Budowa oraz rozwój usług opartych o Azure AI Foundry.
Automatyzacja infrastruktury z wykorzystaniem Terraform i Infrastructure as Code.
Rozwój procesów CI/CD oraz automatyzacji wdrożeń.
Utrzymanie i rozwój środowisk Kubernetes (AKS).
Implementacja mechanizmów monitoringu, Observability i diagnostyki.
Integracja usług AI z wykorzystaniem Azure API Management.
Wsparcie wdrożeń rozwiązań GenAI, RAG i Agentic AI.
Współpraca z zespołami architektury, Cloud, bezpieczeństwa oraz Governance.
Kogo poszukujemy?
Wymagania:
Minimum 5 lat doświadczenia w obszarze Cloud Engineering, Platform Engineering lub DevOps.
Minimum 2 lata doświadczenia przy wdrożeniach AI/ML lub GenAI.
Doświadczenie w budowie i utrzymaniu środowisk produkcyjnych.
Poziom Senior lub Expert.
Minimum 5 lat doświadczenia w administracji i rozwoju środowisk chmurowych (preferowany Microsoft Azure).
Bardzo dobra znajomość Terraform oraz Infrastructure as Code.
Bardzo dobra znajomość CI/CD (GitHub Actions, Azure DevOps).
Praktyczne doświadczenie z Azure AI Foundry.
Praktyczne doświadczenie z Azure API Management.
Doświadczenie z Azure Kubernetes Service (AKS) oraz Docker.
Doświadczenie z Azure Monitor, Azure Log Analytics oraz Azure Application Insights.
Doświadczenie w budowie, utrzymaniu i monitoringu platform AI/ML.
Znajomość Microsoft Entra ID, zarządzania tożsamością, dostępami oraz sekretami.
Umiejętność pracy w kulturze Agile / DevOps.
Angielski komunikatywny w mowie i piśmie.Nice to have:
Azure AI Search.
Azure Machine Learning.
Azure AI Foundry Agent Service.
RAG (Retrieval-Augmented Generation).
Model Context Protocol (MCP).
Google Vertex AI.
AWS Bedrock.
Azure Cosmos DB.
FinOps.
AI Governance.
DORA.
AI Act.
Certyfikaty Microsoft Azure lub Kubernetes.
Czego wymagamy?
3 lata doświadczenia na podobnym stanowisku
Znajomości:
AI
LLM
Azure
CI/CD
Azure AI Foundry
Azure AI SearchJęzyki:
Polski
Angielski
Jakie warunki i benefity otrzymasz?
26.9k–37k PLN netto/m (B2B)
B2B - Elastyczne godziny pracy (100%)
Praca zdalna: Hybrydowo
Kim jesteśmy?
Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.
Zakres planowanych prac:
Rozwój i utrzymanie Platformy AI w środowisku Microsoft Azure.
Budowa oraz rozwój usług opartych o Azure AI Foundry.
Automatyzacja infrastruktury z wykorzystaniem Terraform i Infrastructure as Code.
Rozwój procesów CI/CD oraz automatyzacji wdrożeń.
Utrzymanie i rozwój środowisk Kubernetes (AKS).
Implementacja mechanizmów monitoringu, Observability i diagnostyki.
Integracja usług AI z wykorzystaniem Azure API Management.
Wsparcie wdrożeń rozwiązań GenAI, RAG i Agentic AI.
Współpraca z zespołami architektury, Cloud, bezpieczeństwa oraz Governance.
Kogo poszukujemy?
Wymagania:
Minimum 5 lat doświadczenia w obszarze Cloud Engineering, Platform Engineering lub DevOps.
Minimum 2 lata doświadczenia przy wdrożeniach AI/ML lub GenAI.
Doświadczenie w budowie i utrzymaniu środowisk produkcyjnych.
Poziom Senior lub Expert.
Minimum 5 lat doświadczenia w administracji i rozwoju środowisk chmurowych (preferowany Microsoft Azure).
Bardzo dobra znajomość Terraform oraz Infrastructure as Code.
Bardzo dobra znajomość CI/CD (GitHub Actions, Azure DevOps).
Praktyczne doświadczenie z Azure AI Foundry.
Praktyczne doświadczenie z Azure API Management.
Doświadczenie z Azure Kubernetes Service (AKS) oraz Docker.
Doświadczenie z Azure Monitor, Azure Log Analytics oraz Azure Application Insights.
Doświadczenie w budowie, utrzymaniu i monitoringu platform AI/ML.
Znajomość Microsoft Entra ID, zarządzania tożsamością, dostępami oraz sekretami.
Umiejętność pracy w kulturze Agile / DevOps.
Angielski komunikatywny w mowie i piśmie.Nice to have:
Azure AI Search.
Azure Machine Learning.
Azure AI Foundry Agent Service.
RAG (Retrieval-Augmented Generation).
Model Context Protocol (MCP).
Google Vertex AI.
AWS Bedrock.
Azure Cosmos DB.
FinOps.
AI Governance.
DORA.
AI Act.
Certyfikaty Microsoft Azure lub Kubernetes.
Czego wymagamy?
3 lata doświadczenia na podobnym stanowisku
Znajomości:
AI
LLM
Azure
CI/CD
Azure AI Foundry
Azure AI SearchJęzyki:
Polski
Angielski
Jakie warunki i benefity otrzymasz?
26.9k–37k PLN netto/m (B2B)
B2B - Elastyczne godziny pracy (100%)
Praca zdalna: Hybrydowo
Kim jesteśmy?
Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.
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// zostaniesz przekierowany do: Adzuna
Wysyłając aplikację dołącz klauzulę: „Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji zgodnie z art. 6 ust. 1 lit. a RODO."
// twoje notatki zapisywane automatycznie tylko w tej przeglądarce — 2hr.pl nie ma dostępu do tych danych
// podobne oferty
📌 Promowane
Senior Director, Dedicated Infrastructure & Platforms
GitLab // Remote
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer produ…
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As the Director of Dedicated Infrastructure Engineering & Platforms, you will lead the engineering organization responsible for GitLab Dedicated, GitLab's premium single-tenant SaaS offering for enterprise customers in regulated industries, and public sector.
You will lead a high-performing organization of managers and engineers who own the entire lifecycle of dedicated and cellular platforms, from orchestration, integrations, resilience, and incident response to switchboard APIs, public sector compliance, and enterprise customer migrations. Your mission is to scale GitLab Dedicated from its current traject…
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As the Director of Dedicated Infrastructure Engineering & Platforms, you will lead the engineering organization responsible for GitLab Dedicated, GitLab's premium single-tenant SaaS offering for enterprise customers in regulated industries, and public sector.
You will lead a high-performing organization of managers and engineers who own the entire lifecycle of dedicated and cellular platforms, from orchestration, integrations, resilience, and incident response to switchboard APIs, public sector compliance, and enterprise customer migrations. Your mission is to scale GitLab Dedicated from its current traject…
📌 Promowane
Corporate Development Director
GitLab // Remote
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer produ…
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As the Corporate Development Director, you'll help influence how GitLab invests to win: what we build, what we buy, where we partner, and what we should not pursue. This role sits within the Corporate Development & Strategic Partnerships team, reporting to the VP, Corporate Development & Strategic Partnerships.
This role straddles strategy and M&A engagements. You'll lead research that frames GitLab's options: mapping the markets in and around our AI-powered DevSecOps platform, testing where we have a right to win, and turning that into clear recommendations for the executive team. When the answer is to acq…
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As the Corporate Development Director, you'll help influence how GitLab invests to win: what we build, what we buy, where we partner, and what we should not pursue. This role sits within the Corporate Development & Strategic Partnerships team, reporting to the VP, Corporate Development & Strategic Partnerships.
This role straddles strategy and M&A engagements. You'll lead research that frames GitLab's options: mapping the markets in and around our AI-powered DevSecOps platform, testing where we have a right to win, and turning that into clear recommendations for the executive team. When the answer is to acq…
📌 Promowane
Senior Engineer, Competitive Benchmarking & Performance
Elastic // Poland
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at sc…
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.
You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions.
This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners.
A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work.
What You Will Be Doing
Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads.
Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles tha…
What is The Role
Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.
You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions.
This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners.
A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work.
What You Will Be Doing
Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads.
Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles tha…