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Remote IT Jobs

Cloud Computing

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1,357 jobs found.

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🔥 Site Reliability Engineer

Posted 33 minutes ago

📍 United States of America

💸 63000.0 - 108675.0 USD per year

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor’s Degree in Computer Science or related field and/or equivalent experience
4+ years of related functional experience
Experience with both Windows and Linux, as well as containerization software products
Functional with continuous integration and continuous delivery
Experience with automation and orchestration using Chef, Puppet, Ansible and containers
Coding skills beyond simple scripts and knowledge of application architecture
Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++/C#, Ruby, and JavaScript
Understanding of distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (OpenShift, Kubernetes, Yarn)
Skilled in spotting problems and identifying performance bottlenecks, leading to problem and root cause analysis and risk mitigation
Capacity monitoring and performance planning experience with cloud solutions like AWS using applications such as Dynatrace, New Relic, App Dynamic

💡 Responsibilities

Use engineering design concepts to recommend design or test methods for attaining or improving operational reliability in support of business objectives.
Develop and implement high-reliability tools, systems, and services using engineering methodologies and tools.
Determine reliability requirements and deliver insights from massive scale data in real time.
Propose changes in design or formulation to improve system and/or process reliability.
Utilize best practices and work with cross-functional teams to provide solutions and a positive user experience.
Improve reliability, quality, and time-to-market for suite of software solutions, through effective hosting, monitoring, operations, and automation
Develop proprietary tools to improve system reliability and mitigate weaknesses in incident management or software delivery
Collaborate with team members to troubleshoot and fix issues utilizing knowledge of problems to route support escalation issues to the appropriate teams
Add automation for improved collaborative response in real-time, updates documentation, runbook tools, and modules to prepare teams for incidents
Support optimizing the software development life cycle to boost service reliability, based on post-incident reviews
Support system cost modeling for all hosted systems
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Deliver primary operational support and engineering for distributed software applications
Implement guidelines and plans for automated systems delivery maintaining system and data security
Assist with impact analysis regarding enterprise-wide technology
Perform capacity monitoring with various monitoring tools (Splunk, Dynatrace, etc.) and make recommendations
Gather and analyze metrics from both operating systems and applications to assist in performance tuning, fault finding, and corrective action planning
Support system integration, software, and hardware at enterprise level for optimum performance
Partner with development teams to improve services through rigorous automated testing and release procedures
Contribute to system architecture planning, and policies and procedures surrounding enterprise-wide technology
Participate in system design consulting, platform management, and capacity planning
Stay abreast of new technologies; introduce applicable technology in alignment with business goals and for creative solutions

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Data Analysis DynamoDB ElasticSearch Git Java Kafka Kubernetes MySQL Oracle Rabbitmq Software Architecture Zabbix Algorithms Cassandra Data Structures Prometheus Redis Spark Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Linux DevOps Terraform Microservices Teamwork Troubleshooting JSON Cross-functional collaboration Ansible Scripting Debugging

Posted 33 minutes ago

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🔥 Senior Engineering Manager, Data

Posted about 1 hour ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Frequence

🔧 Requirements

10+ years of experience in software development, including 5+ years in leadership roles managing managers and leading high-performing engineering teams.
A deep understanding of design patterns, software development methodologies, and distributed systems architecture.
Hands-on experience with relevant technologies and tools, such as Airflow, Spark, and streaming architectures.
Well-versed in data pipelining, data warehousing, data modeling, data streaming, streaming architectures, database performance and ETL processes.
Experience in cloud infrastructure (preferably GCP) and have built large-scale, distributed systems with a focus on reliability, observability, and cost efficiency.
Data-driven, using metrics and analytics to track team performance, identify areas for improvement, and drive strategic decisions.

💡 Responsibilities

Identify and drive new strategic opportunities.
Weave AI into current data and reporting solutions.
Ensure the reliability, security and performance of database systems.
Work closely with executive leadership and other engineering leaders.
Manage managers and work effectively with skip-level employees.
Drive the planning and estimation process for cross-functional initiatives.
Proactively identify risks and implement mitigation strategies.
Advocate for strong engineering practices and software architecture improvements.
Ensure that engineering outcomes have a measurable impact on company top-line or bottom-line performance.

Leadership Project Management Python Software Development SQL Cloud Computing Data Analysis ETL GCP Kafka Kubernetes Machine Learning People Management Software Architecture Cross-functional Team Leadership Airflow Algorithms Data engineering REST API Strategic Management Spark Communication Skills Analytical Skills CI/CD Agile methodologies DevOps Microservices Risk Management Data visualization Team management Stakeholder management Data modeling Data management Budget management

Posted about 1 hour ago

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🔥 Senior Field Solutions Engineer

Posted about 2 hours ago

📍 UK

🔍 Cyber Security

🏢 Company: SonicWall

🔧 Requirements

10 + years of related experience with a bachelor’s degree; or 6 years and a master’s degree or a PhD with 5 years’ experience; or equivalent experience.
Cyber Security CISSP Certified, CEH
ITIL Certified
Microsoft Azure or AWS Practitioner
Retaining specialist knowledge across SonicWall products to the desired level
SNSA & SNSP SonicWall Certified*Training will be provided
Familiarity with governance and compliance issues and management/reporting solutions and requirements. Working knowledge of HIPAA, PCI, SOX, FERPA, CIPA, GDPR, etc.
Full range of L2-L7 networking technologies and protocols, NAT, stateful firewall, IDS/IPS, web and content filtering, proxies, email security gateways, VPN and encryption (IPsec/SSL), PKI and key management, 802.11/WLAN, Syslog, NetFlow/IPFIX, Active Directory and LDAP, reading, interpreting and creating scripts, regular expressions and/or custom signatures, virtualization platforms including VMware, Hyper-V, AWS and Azure.

💡 Responsibilities

Proactive leadership of technical discovery workshops to qualify and validate the customer requirements, use cases and to build out a bill of materials, design, and if required, a statement of work that meets the desired outcome
Conduct advanced technical sales presentations and solution demonstrations across SonicWall portfolio to an audience typically between 10-500 persons, keeping partners and customers informed of our new solutions and industry trends
Talk to and demonstrate SonicWall unique value proposition, know our competitors’ offerings in this space and why we win. This includes sharing competitive insights with peers and sales
Build out a minimum of 10-20 trusted technical decision maker relationships with strategic channel partners and customers, holding reoccurring meetings with the solution decision makers including “C” level
Builds out and maintains personal lab for most common demo requests and personal development
Support remote partner product trials
Technical lead for proof of concepts that are either with a partner or direct with a customer
Participate in beta testing and feedback of products, working alongside the product management teams. In addition, function as the voice of the beta testers to consolidate feedback to product management teams and to the Pre-Sales stakeholders
Teaming with support where necessary to preserve relationships with partners and customers
Support key technical marketing initiatives, building out collateral, presenting for internal and external events
Lead key technical marketing initiatives, presenting ether internally or externally
Develop expertise to a PoC level in at least 7-10 SonicWall product areas and a subject matter expert and go to persons for theatre
Proactively shares best practices with fellow peers and sales on a regular basis
Provides mentorship for at least 1 x Solution Engineer
Keeps regional sales informed of roadmap insights, product updates and technical best practices
Promotes a culture of teaming with extended teams, working collaboratively and brings ideas forward that improves the overall effectiveness of the Pre-Sales organization
Adheres to the company values, guidelines, and solution engineering regional reporting tasks

AWS Project Management SQL Bash Cisco Cloud Computing Cybersecurity LDAP Microsoft Azure Communication Skills Analytical Skills Problem Solving Customer service RESTful APIs Mentoring Linux DevOps Presentation skills Networking Excellent communication skills Critical thinking Teamwork Negotiation skills JSON Sales experience Scripting

Posted about 2 hours ago

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🔥 Senior Site Reliability Engineer

Posted about 2 hours ago

📍 United States, Europe

🧭 Full-Time

🔍 Software Development

🏢 Company: Dune👥 101-250

🔧 Requirements

Proven expertise in managing and optimising bare-metal infrastructure and containerised environments.
Experience with infrastructure-as-code and orchestration tools.
Strong understanding of system performance, debugging, and optimization across diverse environments.
Ability to collaborate with interdisciplinary teams and communicate complex technical concepts clearly.
Solid foundation in computer science fundamentals and system design.
Ability to work collaboratively in a remote setting, contributing to a positive and inclusive team culture.
5+ years of experience as a systems or infrastructure engineer in a collaborative, problem-solving environment.
Experience with distributed systems and managing large-scale, high-availability environments.
Hands-on experience with Nomad or Kubernetes for workload orchestration in production environments.
Proficiency in infrastructure-as-code tools like Ansible and Terraform, with a proven ability to automate and manage complex systems.
Experience with bare-metal infrastructure.
Proficiency in scripting or programming languages such as Python, Go, or Bash.
Experience with monitoring and observability tools for infrastructure performance.
Familiarity with cloud cost management and performance improvement strategies.
Strong analytical and troubleshooting skills.
Experience working across multiple time zones.

💡 Responsibilities

Collaborate closely with interdisciplinary teams to ensure the infrastructure meets the demanding performance, reliability, and scalability needs of our products.
Embrace the Platform team's mission to empower product teams with efficient, low-overhead services by developing and maintaining robust infrastructure and scalable services.
Design and maintain highly reliable containerized environments, ensuring seamless operation of our critical systems.
Analyze system performance to identify bottlenecks, proposing and implementing solutions to enhance infrastructure efficiency.
Contribute to maintaining high system reliability and scalability, focusing on unique and challenging technical problems.

Docker Python SQL Bash Cloud Computing Git Kubernetes Go REST API CI/CD Linux DevOps Terraform Ansible Scripting Debugging

Posted about 2 hours ago

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🔥 Member of Technical Staff

Posted about 2 hours ago

📍 UK

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Moonvalley AI

🔧 Requirements

MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision.
Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS).
Exceptionally strong Python skills - Minimum 5 years of experience.
Knowledge of CNN, RNN/LSTM/GRU, and Transformer models.
Rapid prototyping using open-source algorithms and shaping them to meet product needs.
Experience deploying ML models in the Cloud.
Prior experience with AWS and related services.
Experience with databases (Postgres/MySQL).
ML framework: Pytorch / Tensorflow.

💡 Responsibilities

Work closely with academic advisors to incorporate cutting-edge research into our product.
Contribute to R&D projects aimed at developing computer vision models.
Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.
Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.
Conducting experiments, analyzing results, and iterating on models to optimize performance.
Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.
Experiment, validate, and iterate on machine learning models specific to video and image processing.
Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.

AWS PostgreSQL Python Artificial Intelligence Cloud Computing Image Processing Machine Learning MySQL PyTorch Algorithms Data Structures REST API Tensorflow Data modeling

Posted about 2 hours ago

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🔥 Senior Site Reliability Engineer

Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 128350.0 - 192100.0 USD per year

🔍 Software Development

🏢 Company: ClickHouse👥 101-250💰 Series B over 2 years agoDatabase Artificial Intelligence (AI)Big Data Analytics Software

🔧 Requirements

At least 8 years of experience in Site Reliability Engineering or a related field.
Previous experience using ClickHouse in production.
Coding experience with Go and/or Python.
Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.

💡 Responsibilities

Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
Continuously improve the reliability and performance of our ClickHouse services.
Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.

AWS Docker Python SQL Cloud Computing Kubernetes Cross-functional Team Leadership Clickhouse Go REST API Communication Skills CI/CD Problem Solving Linux DevOps Terraform Excellent communication skills Teamwork Strong communication skills Ansible Debugging

Posted about 3 hours ago

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🔥 Enterprise Sales Executive

Posted about 3 hours ago

📍 Worldwide

🔍 Cyber Security

🏢 Company: Tenchi Security👥 51-100💰 $7,000,000 Series A about 1 year agoSecurity SaaS Risk Management Cloud Security

🔧 Requirements

Proven experience as a Sales Executive or similar role, preferably in the tech or cybersecurity industry
Solid experience in B2B sales and a deep understanding of sales strategies
Excellent communication, negotiation, and interpersonal skills
Ability to build and maintain lasting relationships with clients
Detail-oriented with a strong ability to prioritize and manage multiple tasks
Familiarity with CRM software and sales tracking tools
Strong network of contacts in the cybersecurity space
Fluent in English and Portuguese, both spoken and written

💡 Responsibilities

Develop and implement sales strategies to acquire new clients
Identify, qualify, and pursue new business opportunities, while managing the entire sales cycle
Build and maintain strong relationships with prospective and existing clients
Conduct market research to identify potential clients and prepare tailored value propositions
Collaborate with marketing and product teams to align efforts and drive sales initiatives
Deliver engaging presentations and product demos to prospective clients
Keep abreast of industry trends and market developments to inform sales strategies
Meet and exceed sales targets and objectives in a timely manner

Cloud Computing Cybersecurity Salesforce RESTful APIs Account Management Negotiation skills Client relationship management Sales experience Market Research Lead Generation CRM English communication

Posted about 3 hours ago

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🔥 Senior Software Developer, Data Technology

Posted about 4 hours ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

Posted about 4 hours ago

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🔥 Senior Data Scientist (NLP)

Posted about 5 hours ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
Experience with cloud platforms such as AWS and/or Google Cloud Platform.
Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
Strong mathematical foundation and analytical skills.
Excellent research and experimentation skills, including design, execution, and analysis.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Fluency in English.

💡 Responsibilities

Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWS Python Cloud Computing Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Communication Skills Analytical Skills Problem-solving skills Research Fluency in English

Posted about 5 hours ago

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🔥 AWS Technical Architect

Posted about 5 hours ago

📍 United States, Canada, India, Colombia

🔍 Software Development

🔧 Requirements

Customer-facing contact center experience
Experience building integrations across WFM, CRM, and contact center solutions
Experience with communications protocols and APIs such as WebRTC and SIP
Experience with hands-on Scripting/coding (e.g., python, java, c#, .NET, Node.js)
Communication and presentation skills with a high degree of comfort speaking with executives, IT Management, and customers
API integration experience
Strong troubleshooting and debugging skills
Experience with Cloudformation, Contact Flow Design, Lambda Integration, Lex Integration, and Call Center Routing
Proficient in understanding and documenting the infrastructure requirements and specifications, including resource types, networking, security, and compliance needs.
Knowledge of automation tools and frameworks for building, testing, and deploying software, such as Jenkins, GitLab CI/CD, CodeDeploy
Contact Center architecture knowledge
Experienced in implementing infrastructure as code using AWS Cloud Development Kit (CDK) and Terraform, ensuring consistent and efficient infrastructure deployment.
Capable of setting up monitoring and logging for infrastructure components and performing ongoing maintenance to ensure optimal performance and availability.
Experience in technology/software sales, pre-sales, or consulting
Advanced knowledge of AWS services and cloud architecture
Salesforce knowledge and familiarity with Salesforce Service Cloud
Contact center product knowledge of other platforms (Genesys, Cisco, Avaya, Twilio, etc.)
Experience with WorkForce Management solutions
Experience working with outbound dialers and campaign management
Knowledge of software development methodologies such as Agile and Scrum
AWS Cloud Practitioner Certification
AWS Developer Associate Certification or Professional
AWS Solution Architect Certification or Professional
Salesforce Certified Administrator

💡 Responsibilities

Ensure customer success in building and launching Amazon Connect solutions for NeuraFlash customers
Conduct technology assessment and audits to identify the need (from an ROI and Outcomes perspective) to move to CCaaS AWS Connect Platform, improving agent experience and productivity
Facilitate business process reviews to identify customer requirements and processes
Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
Lead discovery for customers, help customers build ROIs for projects, and deliver presentations and estimate for delivering that ROI
Translate customer requirements into contact center design, leveraging best practices, and other AWS Services
Oversee and mentor technical teams, providing guidance and support to ensure that proposed solution (on Salesforce and AWS Cloud) is delivered on time, on budget, and to the required quality standards
Act as a liaison between technical teams and business stakeholders, communicating technical concepts in a clear and understandable manner, and managing expectations and priorities
Drive best practice contact center design into each and every aspect of solution delivery
Effectively manage all aspects of project and customer communications
Deliver customer end user training and documentation
Exercise independent judgment, and take the lead role on enterprise level projects with minimal direction from senior management
Lead vision and strategy discussions with contact center and customer service leadership and management

AWS Backend Development Leadership Node.js PostgreSQL Project Management Python SQL Agile Business Intelligence Cloud Computing Data Analysis DynamoDB Full Stack Development Java Salesforce C#Amazon Web Services API testing .NET REST API WebRTC Communication Skills CI/CD Customer service Agile methodologies RESTful APIs Mentoring Linux Terraform Troubleshooting Ansible Data modeling Scripting Debugging Customer Success

Posted about 5 hours ago

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