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Azure

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🔥 Site Reliability Engineer

Posted about 1 hour ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: TCGPlayer_External_Career

🔧 Requirements

5+ years of experience in Site Reliability Engineering or related roles
Experience with an enterprise monitoring solution (New Relic, Scalyr, Datadog, Etc)
Experience managing Linux and/or Windows environments
Experience with IaaS and PaaS solutions (i.e. AWS, GCP, Azure, etc.)
Experience with Infrastructure as Code (Terraform or Helm)
Knowledge of Kubernetes / ECS orchestration, and containerization (e.g. Docker)
Demonstrable expertise around specifying, designing and/or implementing system health, performance monitoring tools and software management tools for 24x7 environments
Proficiency in writing code / scripts to automate tasks
Excellent critical thinking and solving skills

💡 Responsibilities

Innovate, build, and evangelize the practice of site reliability so that TCGPlayer can deliver excellent customer experiences.
Define and measure key performance metrics, such as SLAs and Mean Time Between Failures (MTBF), using those metrics to identify trends and measure the impact on the business.
Develop and maintain up-to-date operational procedures, including runbooks, to adapt to evolving needs.
Anticipate system failures through practices like chaos engineering and tabletop exercises, and establish processes to learn from operational incidents.
Foster strong relationships within the team and across departments while cultivating a communicative, supportive, and results-oriented culture.

AWS Docker Cloud Computing GCP Kubernetes Azure CI/CD RESTful APIs Linux DevOps Terraform Microservices Scripting

Posted about 1 hour ago

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🔥 Sales Engineer (Azure)

Posted about 2 hours ago

📍 United States

💸 220000.0 - 230000.0 USD per year

🔍 Medical Device

🏢 Company: Symmetrio

🔧 Requirements

Strong knowledge of Azure services, networking, cloud security, and hybrid architectures.
Minimum of 5 years in cloud pre-sales, solution architecture, or IT consulting, preferably in the healthcare sector.
Excellent communication, problem-solving, and relationship-building skills.
Familiarity with medical systems, clinical data management, and regulatory compliance (e.g., HIPAA) is preferred.
Microsoft Azure certifications (e.g., Azure Administrator, Azure Solutions Architect) preferred.

💡 Responsibilities

Partner with the sales team to provide technical expertise and support throughout the sales cycle, including pre-sales activities, presentations, and product demonstrations.
Collaborate with clients to understand their existing systems and pain points, offering tailored solutions to facilitate seamless migration to cloud-based platforms.
Develop and deliver technical presentations and proposals that effectively communicate the value of cloud solutions to stakeholders, including technical and non-technical audiences.
Provide hands-on technical guidance and troubleshooting during proof-of-concept trials and solution deployments.
Act as a liaison between the sales, engineering, and product management teams to ensure customer requirements are clearly understood and addressed.
Continuously stay updated on advancements in Azure technology and cloud solutions relevant to the medical technology sector.
Monitor cloud performance, optimize costs, and ensure compliance with service-level agreements (SLAs).
Ensure compliance with industry standards, regulations, and best practices during migration projects.

Cloud Computing Microsoft Azure Azure RESTful APIs Networking

Posted about 2 hours ago

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🔥 Enterprise Solution Architect

Posted about 5 hours ago

📍 United States

🔍 Microsoft Cloud Solutions

🏢 Company: HSO👥 1001-5000 Information Technology

🔧 Requirements

7+ years of experience in selling Microsoft Cloud Solutions
At least one implementation with documentation in the role of Enterprise Architect implementing Microsoft solutions such as Azure, Data, AI/ML, etc
Expert level in at least one core area of Microsoft solutions with broad understanding of all the elements of the Microsoft technology platform
Experience with Infrastructure as Code (IaC) tools like Terraform or BiCep templates
Experience in specific industries (e.g., healthcare, finance, manufacturing)
Excellent presentation and demonstration skills
Demonstrated experience in customer-facing consulting roles interacting with IT-leaders, product owners, C-level, Executive Sponsors, and business users
Prior consulting, business analyst, implementation, or product support experience required, specifically relating to Microsoft Business Solutions
Prior sales experience selling Enterprise Solutions, such as data analytics and AI/ML solutions on Azure
Ability to thrive in a dynamic and entrepreneurial environment and to work with a team
Ability to travel 30% or more
Degree in Business, Computer Science, Engineering or a related discipline or equivalent education

💡 Responsibilities

Design and architect comprehensive Microsoft Cloud solutions that meet client requirements and align with best practices
Maintain deep expertise in Microsoft Cloud services, including infrastructure, platform, security, IAM, data, AI, ML, modern workplace, application modernization
Develop and cultivate the relationship between HSO and clients through discovery meetings, whiteboarding sessions, and technical analysis, positioning HSO as an effective partner in uncovering realistic solutions to our clients’ needs
Work with prospects and clients to determine the scope of work, and technology approaches, to create an overall enterprise architecture
Provide supplementary details such as proof-of concepts or demonstrations, pre-sales collateral, presentations, case studies, and demos that validate client’ strategic vision, business requirements, and objectives to create a compelling value proposition that supports decision-making
Assist in the development of Microsoft-based capabilities for clients: outlining not only best practices and technical innovations, but also showing how it can be optimized to meet our clients' business needs
Define stakeholder breadth and engagement, meeting key decision makers at their level: from architectural and solution scoping to developing a technology strategy that aligns with the organization's broader financial goals
Apply your industry or product knowledge to communicate understanding of the environment or industry in which the client operates, unique needs, or constraints/opportunities of the legacy landscape
Act as a trusted advisor to clients, understanding their business needs and technical requirements.Drive value-based recommendations
Conduct discovery workshops and technical assessments to gather information and identify opportunities
Deliver compelling presentations and demonstrations of Microsoft Cloud solutions to clients at all levels
Developing detailed proposals, SOWs, and cost estimates using our defined tooling process
Using a consultative approach to drive HSO business
Responding to RFPs and RFIs with accurate and compelling technical information
Collaborating closely with clients, stakeholders, and internal teams to capture the clients’ overall strategic visions, matching up the technology to the requirements
Working closely with clients to understand their business needs and helping them to implement it into scalable, efficient, and effective solutions
Assessing the feasibility of new processes or technologies within a business, making appropriate technology choices for the customer to support the architectural requirements and principles
Collaborating with multiple internal and external stakeholders simultaneously including sales teams, practice leads and delivery teams
Understanding the full range of the landscape in which the client operates (business, geography, regulatory, etc.) and be able to use this in the definition and validation of the architecture
Staying updated on the latest trends, advancements, and competitive landscape within the Microsoft ecosystem

SQL Business Analysis Business Intelligence Cloud Computing Kubernetes Microsoft Active Directory Microsoft Azure Microsoft Dynamics Microsoft Exchange Microsoft .NET Microsoft Power BI Microsoft SQL Server Software Architecture Azure CI/CD RESTful APIs Terraform Microsoft Office Suite Sales experience Data modeling Data analytics Data management

Posted about 5 hours ago

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🔥 Senior Product Security Architect

Posted about 5 hours ago

📍 Tel Aviv, Israel

🔍 Software Development

🏢 Company: Axonius👥 600-600💰 $200,000,000 Series E about 1 year agoAsset Management Cloud Security Information Technology Cyber Security Network Security

🔧 Requirements

5+ years of hands-on experience in software engineering, with a subsequent focus on application security
Familiarity with Threat modeling models like STRIDE
Proficient in software engineering, with a preference for experience in Python, JavaScript, and Bash scripting
Familiarity with Cloud architecture like AWS, Azure,GCP
Strong understanding of Networking, Operation systems, containerization (Docker and Kubernetes)
Background in modern application security principles, especially for web applications (the OWASP Top Ten Risks and beyond)
Excellent English written and verbal communication

💡 Responsibilities

Establish and maintain set of security requirements and best practices in SDLC
Work closely with engineering teams to provide relevant security requirements and ensure that security considerations are integrated into software development projects:
Design and architect new security features for the Axonius Platform
Conduct security code reviews
Align Axonius products with recognized security benchmarks and standards within the industry
Develop supporting security tools

AWS Docker Python Bash Cloud Computing GCP Git Javascript Kubernetes OAuth Software Architecture Azure REST API CI/CD Microservices Networking Software Engineering

Posted about 5 hours ago

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🔥 Principal Data Engineer

Posted about 6 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Insurance

🏢 Company: external

🔧 Requirements

Extensive experience of designing and building end to end data solutions (10 years +)
Experience of carrying out data engineering design and build activities using agile working practices
Experience of Databricks solutions, Databricks administration and pyspark
Data Factory/Synapse Workspace – for building data pipelines or synapse analytics pipelines
Data Lake – Delta Lake design pattern implementation experience in Azure Data Lake Gen2
Synapse Warehouse/Analytics – Experience in Synapse data mappings, external tables, schema creation from SSMS, knowledge on how Synapse pool works behind the scenes
Azure Active Directory – for Managed identities creation and usage or for generating service principles for authentication and authorization
Version Control – Experience in building Data Ops i.e., CICD pipelines in Azure DevOps with managed identity
Unit Testing – Experience in writing unit tests for data pipelines
Data Architecture – Knowledge or experience in implementing, Kimball style Data Warehouse
Data Quality – Experience in applying Data Quality rules within Azure Data Flow Activities
Data Transformation – Extensive hands on with Azure Data Flow Activities for Cleansing, transforming, validation and quality checks
Azure Cloud – Knowledge and confidence in effective communication on Azure Cloud Subscriptions

💡 Responsibilities

Create or guide the low-level design of data solutions
Be responsible for the quality of the overall data platform(s)
Be responsible for coding standards, low level design and ingestion patterns for the data platform(s)
Develop high complexity, secure, governed, high quality, efficient data pipelines
Set the standards and ensure that data is cleansed, mapped, transformed and optimised for storage
Design and build of data observability and data quality by design into all Data pipelines
Build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications
Build physical data models that are appropriately designed to meet business needs and optimise storage requirements
Carry out unit testing of own code, peer testing of others code
Ensure that effective, and appropriate documentation that brings transparency and understandability are in place for all content on the data platform(s)
Coach and mentor Senior Data Engineers, Data engineers & Associate Data Engineers
Create high complexity BI solutions

Python SQL Agile Business Intelligence ETL Microsoft Power BI Apache Kafka Azure Data engineering CI/CD Data modeling Data analytics

Posted about 6 hours ago

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🔥 Junior Full Stack AI Engineer

Posted about 8 hours ago

📍 Worldwide

🧭 Full-Time

🔍 AI

🏢 Company: Creai

🔧 Requirements

Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
Proven ability to tackle complex problems using data analytics and predictive modeling.
Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
Familiarity with data structures, data modeling, and software architecture principles.

💡 Responsibilities

Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
Document development processes and present technical results to technical and non-technical stakeholders.

AWS Python SQL Cloud Computing Data Analysis Full Stack Development Java Machine Learning PyTorch Software Architecture Azure Pandas Tensorflow Communication Skills RESTful APIs Scala Data modeling

Posted about 8 hours ago

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🔥 Senior Automation Engineer

Posted about 10 hours ago

📍 Canada

🧭 Full-Time

💸 80000.0 - 110000.0 USD per year

🔍 FinTech

🏢 Company: Bankjoy👥 51-100💰 about 2 years agoFinancial Services Finance

🔧 Requirements

7+ years of experience working in software quality domain
3+ years of automation testing
Proficiency in JavaScript/Typescript
Ability to validate data and write SQL queries
Expertise in tools such as Cypress, Appium, Postman
Experience with CI/CD tools
Familiarity with source code version control tools such as Git
Experience with performance testing
Knowledge of cloud environments such as Azure, Aws or Google Cloud
Knowledge of test management tools such as Jira, Azure ADO
Clear communication, with a track record of working effectively with development engineering and other functions

💡 Responsibilities

Be a quick learner and gain product domain knowledge
Understand functional and non-functional requirements to develop comprehensive test strategies.
Design, develop, and maintain automated test scripts for web, mobile applications.
Create reusable and scalable test automation frameworks
Debug and troubleshoot and optimize automation scripts as needed
Identify, report, and track defects with detailed documentation, work with development teams to reproduce and resolve issues
Integrate automated tests into CI/CD pipelines to ensure early detection of issues
Perform end-to-end solution & quarterly regression testing, compatibility testing, performance testing.
Evaluate and communicate risks associated with quality issues to stakeholders.
Develop and implement automation testing strategies for complex projects.
Drive QA standards and practices throughout the engineering organization.
Provide guidance and mentorship to other QA members on standards, practices, and tools.

AWS SQL Cypress Git Javascript QA Automation TypeScript Jira API testing Azure Mobile testing REST API Regression testing TestRail CI/CD

Posted about 10 hours ago

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🔥 Staff Enterprise Architect - Distributed US

Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 162400.0 - 188000.0 USD per year

🔍 Software Development

🔧 Requirements

8+ years of relevant experience.
Strong experience writing, developing and presenting technical content for external audiences.
A mix of skills that can include an in-depth knowledge of databases (particularly relational, SQL-based), distributed systems, public cloud systems, containers and VM, orchestration tools, linux systems for benchmarking, and modern enterprise software architecture and development.
Technical knowledge of enterprise applications, platforms, and data ecosystem, with the ability to go deep on technical aspects in order to understand current and future customer needs and present CockroachDB technical benefits.
Experience in designing and building cloud-based deployment infrastructures.
Experience as a software engineer with in-depth and practical experience working with a relational database.
Expertise in analyzing, monitoring, and troubleshooting large-scale distributed systems.
Experience in shell programming and scripting (i.e., Bash). Software development using one or more of the following: Go, C, C++, Python, Java is a plus.
Proficiency working with algorithms, data structures, and production troubleshooting.
Expertise in working with major cloud providers (AWS, Azure, GCP) and Cloud APIs.
Debugged and optimized code as part of your work delivering a scalable, event driven microservice based application.
Experience building collaborative relationships with your colleagues. You enjoy being part of the review process and partnering with your teammates on challenging problems.
1-3+ years of experience as a Technical Architect with a proven success record.
1-3+ years of experience as an Engineer architecting a modern enterprise software application, such as Domain Driven Design and Event-based architectures.
A degree in Computer Science or other technical qualification.

💡 Responsibilities

Own and deliver expert technical guidance and assistance to our customers during their planning, design, testing, migration, and implementation efforts as they modernize both their legacy SQL applications and new, next generation applications.
Utilize your deep technical skills to provide measurable value to customers and drive sales growth.
Educate customers on the unique capabilities of CockroachDB and design solutions to meet a wide variety of challenges.
Drive adoption and implementation of Cockroach Labs tools/features by leading requirements and design sessions, migration analysis and strategy, performance analysis and tuning, hands-on product and technical workshop sessions
Need to learn new technologies constantly and quickly in order to keep pace with customer environments.
Partner with members of the Sales and Customer Success teams in driving new business opportunities and expanding adoption in existing customer organizations.
Develop and implement best practices, processes and tools which can continually enhance Cockroach Labs’s Professional Services offerings.

AWS Backend Development Python SQL Bash Cloud Computing GCP Java Kubernetes Software Architecture C++Algorithms Azure Data Structures Go Postgres RDBMS RESTful APIs Linux DevOps Microservices Troubleshooting Scripting

Posted about 11 hours ago

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🔥 Mulesoft Engineer

Posted about 12 hours ago

📍 United States of America

🔍 Software Development

🏢 Company: careers_gm

🔧 Requirements

3-5 years’ experience in MuleSoft development and implementation
Strong technical expertise in MuleSoft Anypoint Platform, including Mule ESB, Anypoint Studio, DataWeave, API-led connectivity, and MuleSoft CloudHub
Experience with RESTful APIs, SOAP web services, and other integration protocols and standards
Exposure to DataWeave for data transformation.
Understanding of cloud platforms like AWS or Azure.
Familiarity with Agile development methodologies.

💡 Responsibilities

Work in a fast-paced environment with business, technology, and designers to build new capabilities, platforms, features and improving existing capabilities.
Design, develop, and implement MuleSoft integrations and APIs to connect various applications, systems, and databases
Gather and analyze integration requirements from stakeholders and translate them into technical specifications and integration designs
Create and maintain MuleSoft integration flows, data mappings, and transformations
Collaborate with architects, business analysts, and other stakeholders to ensure the successful delivery of integration projects
Conduct unit testing, integration testing, and support user acceptance testing for MuleSoft integrations
Provide technical expertise and guidance on MuleSoft best practices and design principles
Troubleshoot and resolve technical issues related to MuleSoft integrations
Stay updated with MuleSoft platform capabilities, new features, and best practices, and provide recommendations for continuous improvement

AWS Software Development Agile Cloud Computing Azure Communication Skills CI/CD RESTful APIs Troubleshooting JSON Software Engineering

Posted about 12 hours ago

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🔥 Staff Software Engineer

Posted about 14 hours ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: VERSES👥 101-250💰 $13,960,689 Post-IPO Equity 2 months agoArtificial Intelligence (AI)Internet of Things Intelligent Systems Machine Learning Software

🔧 Requirements

At least 10 years of experience in software engineering, with a focus on developing solutions for, and supporting, enterprise-scale applications.
Proficiency in at least one “server-side” programming language, such as Python, Rust, or Node.js
Experience with cloud technologies (AWS, Azure, GCP), containerization (Docker, Kubernetes), and databases (MySQL, PostgreSQL, MongoDB) Experience with pub sub technologies such as RabbitMQ, Kafka, and Reddis.
Strong understanding of web technologies and standards, such as REST/CRUD, HTTP, DNS and web security
Experience with DevOps and security practices
Experience with API design and development
Experience working with IoT and edge computing technologies
Experience with agile software development methodologies
Understanding of core machine learning and AI concepts, including generative models (like GPTs), and an awareness of emerging paradigms such as active inference

💡 Responsibilities

Migrating research concepts and ideologies (ie Active Inference) into production software
Evolve our agentic platform promoting scalability and maintainability furthering the state of the art
Rapidly prototype systems for live demonstration, applying cutting-edge technologies to connect the physical and digital worlds
Work closely with partners to develop and implement solutions as they onboard to the Genius Platform, ensuring a seamless integration and adoption process.
Collaborate with cross-functional teams, including researchers, designers, and other engineers, to define software requirements and guarantee successful implementation.
Lead technical discussions, offer mentorship, and ensure adherence to coding standards and best practices through active participation in code reviews.
Develop technical documentation and participate in knowledge sharing sessions

AWS Backend Development Docker Node.js PostgreSQL Python Agile Artificial Intelligence Cloud Computing GCP IoT Kafka Kubernetes Machine Learning MongoDB MySQL Rabbitmq API testing Azure REST API Redis Rust DevOps Microservices Software Engineering

Posted about 14 hours ago

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For those looking for fully remote jobs in their own country, our platform offers the ability to customize the search based on your location. This is especially useful if you want to adhere to local laws, consider time zones, or work with employers familiar with local specifics.

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Our platform features over 40,000 remote work offers with full-time or part-time positions from 7,000 companies. This wide range ensures you can find offers that suit your preferences, whether from startups or large corporations.

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