Data Engineer – Azure Cloud Infrastructure Job at Levy Professionals (Amsterdam)

Senior Azure Cloud Infrastructure Engineer

We are looking for an experienced Senior Azure Cloud Infrastructure Engineer to ...

Location

United States , Minneapolis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Extensive experience with Microsoft Azure, including compute, networking, security, identity, and monitoring
Proficiency in Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation
Strong scripting skills in Python, PowerShell, or Bash
Solid understanding of cloud networking, security models, and compliance frameworks
Familiarity with CI/CD processes and tools
Broad knowledge of full-stack engineering, including cloud infrastructure and application design
Experience with automated scaling and cloud services such as AWS or Azure
Expertise in Ansible for configuration management and automation

Job Responsibility

Design and implement cloud infrastructure solutions using Microsoft Azure, ensuring scalability and security
Develop Infrastructure as Code using tools such as Terraform and Bicep to automate deployments and improve efficiency
Collaborate with cross-functional teams to integrate cloud services with networking, security, and application systems
Create and maintain scripts in Python, PowerShell, or Bash to streamline operational processes
Monitor cloud environments and establish governance frameworks to maintain compliance and performance
Configure CI/CD pipelines to support continuous integration and delivery
Apply knowledge of full-stack engineering to connect cloud systems with data services and application design
Analyze and improve cloud networking and security models to enhance infrastructure reliability
Provide technical leadership and mentorship to team members, fostering skill development and collaboration
Stay updated on emerging cloud technologies and recommend innovative solutions to meet business needs

What we offer

medical
vision
dental
life and disability insurance
company 401(k) plan

Senior Cloud Data Infrastructure Engineer

The Cloud AutoScaling team is dedicated to implementing robust vertical and hori...

Location

United States

Salary:

133450.00 - 197200.00 USD / Year

ClickHouse

Expiration Date

Until further notice

Requirements

5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems
Experience building operators with Kubernetes, controller runtime
Production experience with programming languages like Go, C++ or Java
You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver
Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2)
Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools)
You are passionate about solving data problems at Scale
You have excellent communication skills and the ability to work well within and across engineering teams

Job Responsibility

Build a cutting-edge cloud-native database platform on top of the public cloud
Work on the autoscaling and our in-house Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling
Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations
Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support auto-scaling use cases as well as other internal infrastructure improvements
Architecting and building a robust, scalable, and highly available distributed infrastructure

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime

New

Senior Software Engineer - Azure Data Engineering Team

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

Canada , Vancouver

Salary:

114400.00 - 203900.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Drive the design and implementation of complex, large-scale distributed systems by producing technical designs, proof-of-concepts, and prototype solutions from ambiguous or high-level requirements
Own end-to-end delivery of key system components, including design tradeoffs, implementation, testing strategy, deployment, and long-term operability
Continuously improve system performance, scalability, and resilience by identifying architectural gaps, leading refactoring efforts, and addressing systemic technical debt
Define and apply metrics, best practices, and quality bars to ensure long-term service stability, operational excellence, and strong return on engineering investment
Lead code reviews and design discussions, setting technical direction and mentoring engineers to improve overall code quality and system design maturity
Collaborate across teams and organizations to align designs, influence dependencies, and deliver solutions that scale across Azure
Build and evolve the core messaging infrastructure that underpins hundreds of thousands of Azure applications, supporting critical platform capabilities such as eventing, asynchronous workflows, telemetry, and diagnostics
Embody our culture and values

Fulltime

Azure Data Engineer

We are currently seeking a Azure Data Engineer to join our team in Bangalore, Ka...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
5+ years of demonstrated production experience in core data platforms such as Databricks and Azure related data services
5+ years of expertise in SQL and Python (Spark) as data manipulation languages
5+ years of hands-on knowledge of Cloud and Distributed Data Storage, including ADLS
5+ years of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Azure DataFactory, Azure Synapse, and Databricks
Showcase professional written and verbal communication skills to effectively convey complex technical concepts
Undergraduate or Graduate degree preferred

Job Responsibility

Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack
Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure
Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations
Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
Adhere to Agile practices throughout the solution development process
Design, build, and deploy databases, data pipelines and data stores to support organizational requirements

Azure Data Engineer

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
5+ years of demonstrated production experience in core data platforms such as Databricks and Azure related data services
5+ years of expertise in SQL and Python (Spark) as data manipulation language
5+ years of hands-on knowledge of Cloud and Distributed Data Storage, including ADLS
5+ years of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Azure Data Factory, Azure Synapse, and Databricks
Showcase professional written and verbal communication skills to effectively convey complex technical concepts
Undergraduate or Graduate degree preferred
6+ years of Azure Data Factory, Strong SQL, Azure Synapse, Spark/PySpark, Python scripting, data modeling/analysis/mapping

Job Responsibility

Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack
Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure
Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations
Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc
Adhere to Agile practices throughout the solution development process
Design, build, and deploy databases, data pipelines and data stores to support organizational requirements

Fulltime

Azure Data Engineer

We are currently seeking a Azure Data Engineer to join our team in Bangalore, Ka...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
Ability to work from NTT DATA's ODC centers in Bengaluru, Chennai or Hyderabad 3 days per week
5+ years of demonstrated production experience in core data platforms such as Databricks and Azure related data services
5+ years of expertise in SQL and Python (Spark) as data manipulation language
5+ years of hands-on knowledge of Cloud and Distributed Data Storage, including ADLS
5+ years of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Azure Data Factory, Azure Synapse, and Databricks
Showcase professional written and verbal communication skills to effectively convey complex technical concepts
Undergraduate or Graduate degree preferred
6+ years of Azure Data Factory, Strong SQL, Azure Synapse, Spark/PySpark, Python scripting, data modeling/analysis/mapping

Job Responsibility

Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack
Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure
Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations
Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
Adhere to Agile practices throughout the solution development process
Design, build, and deploy databases, data pipelines and data stores to support organizational requirements

Fulltime

IT Infrastructure Engineer (Cloud & Platforms)

About the Role We are looking for an IT Infrastructure Engineer (Cloud & Platfo...

Location

United Kingdom , Gateshead

Salary:

38400.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Enterprise infrastructure environments (servers, storage and virtualisation)
Cloud platforms such as AWS and/or Azure
Active Directory and core Microsoft services
Backup and disaster recovery solutions
Automation or Infrastructure-as-Code tools (e.g. Terraform, Ansible)
Exposure to DevOps practices and CI/CD
Strong problem solver, able to troubleshoot technical issues methodically
Confident communicating with both technical and non-technical stakeholders
Well organised, with strong attention to detail
Able to work under pressure and manage high-priority incidents

Job Responsibility

Support and maintain core infrastructure systems including servers, storage and virtualisation platforms
Monitor system performance, ensuring high levels of availability across the environment
Troubleshoot issues in a timely manner, providing clear updates to users and stakeholders
Act as an escalation point for infrastructure-related incidents, including Active Directory, VMware and storage platforms
Manage backup and disaster recovery processes to protect systems and data
Carry out regular maintenance, patching and housekeeping activities
Work on cloud-based solutions across AWS and Azure, supporting the design and implementation of new services
Contribute to migration and infrastructure transformation projects
Assist with building and maintaining infrastructure using automation and Infrastructure-as-Code tools
Support the development of CI/CD pipelines and DevOps practices

What we offer

25 days holiday rising with length of service plus bank holidays
Enhanced maternity, paternity and adoption leave
Access to colleague car purchase scheme
Preferential service, parts and labour rates
Pension scheme with employer contributions
Access to wellbeing support and Employee Assistance Programme
Ongoing learning and development opportunities
A supportive, collaborative team culture within a growing PLC business

Fulltime

Sr. Cloud Infrastructure Engineer (Ai & Llm Platforms)

We are seeking a specialized Infrastructure Engineer to bridge the gap between o...

Location

Salary:

Not provided

Q6 Cyber

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Platform Engineering, or SRE, with at least 1-2 years specifically focused on AI/ML infrastructure
Proven track record of building production-grade RAG pipelines or LLM-integrated applications
Thrives in 'day zero' environments where the tools and protocols (like MCP) are evolving weekly
Deep understanding of the security implications of LLMs (prompt injection, data leakage, and secure tool execution)
Experience working with substantial datasets (over 1bn objects, dozens or hundreds of TBs) and the challenges of leveraging AI tools with these data sets
Bachelor's degree or equivalent in computer science or related field
Cloud & Orchestration: AWS/GCP/Azure, Kubernetes, Terraform, Helm
AI Frameworks: LangChain, LlamaIndex, LangGraph
Data & Vectors: Pinecone, Milvus, Qdrant, or pgvector
Apache Kafka/Pulsar

Job Responsibility

Guide the architecture that will allow us to leverage AI tools with our large existing data stores and incoming streams of realtime intelligence
Work closely with other infrastructure engineers and software development teams to integrate AI tools into existing systems
Design, deploy, and maintain Model Context Protocol (MCP) servers to allow LLMs to securely interact with our internal databases, APIs, and external tooling
Build and orchestrate sandboxed, scalable environments (e.g., using Docker or specialized runtimes) where users can safely build and execute AI agents
Develop and manage the infrastructure for our internal RAG (Retrieval-Augmented Generation) pipeline, including vector database management (e.g., Pinecone, Weaviate, or pgvector) and automated embedding pipelines
Utilize Kubernetes (K8s) and Infrastructure as Code (Terraform/Pulumi) to deploy LLM-related tools, ensuring high availability and low latency for model inference and data retrieval
Implement strict guardrails for data privacy within LLM workflows, ensuring internal datasets remain secure while being accessible to authorized AI tools

What we offer

We offer a competitive compensation package and comprehensive benefits package

Fulltime

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Data Engineer – Azure Cloud Infrastructure

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