Cloud Computing Job Salaries

Find salary information for remote positions requiring Cloud Computing skills. Make data-driven decisions about your career path.

Cloud Computing

Median high-range salary for jobs requiring Cloud Computing:

$200,000

This analysis is based on salary ranges collected from 426 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $150,000 - $200,000

25% of job descriptions advertised a maximum salary above $245,000.
5% of job descriptions advertised a maximum salary above $336,400.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Communication Skills, DevOps and AWS. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Communication Skills
32% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $150,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $252,875.
- 5% of job descriptions advertised a maximum salary above $386,752.5.
DevOps
25% jobs mention DevOps as a required skill. The Median Salary Range for these jobs is $165,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $325,643.
AWS
53% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,000 - $205,100
- 25% of job descriptions advertised a maximum salary above $245,000.
- 5% of job descriptions advertised a maximum salary above $325,643.
CI/CD
37% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $160,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $247,125.
- 5% of job descriptions advertised a maximum salary above $318,957.
Kubernetes
33% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $160,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $239,220.
- 5% of job descriptions advertised a maximum salary above $315,000.
RESTful APIs
25% jobs mention RESTful APIs as a required skill. The Median Salary Range for these jobs is $155,000 - $203,000
- 25% of job descriptions advertised a maximum salary above $245,500.
- 5% of job descriptions advertised a maximum salary above $353,750.
SQL
38% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $150,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $342,410.
Python
34% jobs mention Python as a required skill. The Median Salary Range for these jobs is $150,500 - $200,000
- 25% of job descriptions advertised a maximum salary above $245,000.
- 5% of job descriptions advertised a maximum salary above $312,400.
REST API
30% jobs mention REST API as a required skill. The Median Salary Range for these jobs is $150,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $242,500.
- 5% of job descriptions advertised a maximum salary above $325,402.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Technology, Software Development and Cybersecurity. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Technology
1% jobs are in Technology industry. The Median Salary Range for these jobs is $155,100 - $239,000
- 25% of job descriptions advertised a maximum salary above $310,000.
- 5% of job descriptions advertised a maximum salary above $325,000.
Software Development
40% jobs are in Software Development industry. The Median Salary Range for these jobs is $160,000 - $207,965.23
- 25% of job descriptions advertised a maximum salary above $256,875.
- 5% of job descriptions advertised a maximum salary above $365,950.
Cybersecurity
3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $155,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $223,000.
- 5% of job descriptions advertised a maximum salary above $264,480.
Healthcare
2% jobs are in Healthcare industry. The Median Salary Range for these jobs is $150,000 - $203,940
- 25% of job descriptions advertised a maximum salary above $219,700.
- 5% of job descriptions advertised a maximum salary above $253,000.
Insurance
1% jobs are in Insurance industry. The Median Salary Range for these jobs is $132,500 - $191,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $350,000.
Fintech
2% jobs are in Fintech industry. The Median Salary Range for these jobs is $147,300 - $186,400
- 25% of job descriptions advertised a maximum salary above $234,600.
- 5% of job descriptions advertised a maximum salary above $256,300.
Artificial Intelligence
1% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $125,000 - $175,000
- 25% of job descriptions advertised a maximum salary above $205,000.
- 5% of job descriptions advertised a maximum salary above $215,000.
Cloud Computing
1% jobs are in Cloud Computing industry. The Median Salary Range for these jobs is $120,000 - $175,000
- 25% of job descriptions advertised a maximum salary above $231,250.
- 5% of job descriptions advertised a maximum salary above $250,000.
Data Engineering
1% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $126,100 - $168,150
- 25% of job descriptions advertised a maximum salary above $169,537.5.
- 5% of job descriptions advertised a maximum salary above $170,000.
Information Technology
1% jobs are in Information Technology industry. The Median Salary Range for these jobs is $137,500 - $153,340
- 25% of job descriptions advertised a maximum salary above $213,340.
- 5% of job descriptions advertised a maximum salary above $240,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Data Scientist II

Posted 11 minutes ago

📍 Canada

🧭 Full-Time

💸 100000.0 - 132000.0 CAD per year

🔍 Software Development

🏢 Company: Palmstreet👥 51-100💰 Pre-seed over 3 years agoInternet Communities Marketplace E-Commerce Consumer Goods Social Shopping

🔧 Requirements

2+ years of analytics experience in growth market, campaigns, user behaviors or economics.
2+ years of hands-on ML experience in supervised and unsupervised learning techniques.
Proficiency in Python and SQL with big data fundamentals on a cloud platform.
Ability to identify and propose growth opportunities actively.
Passion for working in a fast-paced startup environment, making difference and driving meaningful impact.
Proven ability to collaborate effectively in a fully remote work setting.

💡 Responsibilities

Develop scalable ETL pipelines to process and analyze terabytes of user interaction data.
Define, visualize and monitor key business and product metrics to inform decision-making.
Build, deploy, A/B test and iterate on ML products using appropriate algorithms and infrastructures.
Partner with PMs, designers and engineers to develop scalable AI/ML-driven products.
Successfully completes projects at large scope while maintaining a consistent high level of productivity and standard.

AWS Python SQL Cloud Computing Data Analysis ETL Machine Learning Algorithms API testing Data science Data visualization A/B testing

Posted 11 minutes ago

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🔥 Site Reliability Engineer

Posted about 1 hour 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 about 1 hour ago

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🔥 Senior Site Reliability Engineer

Posted about 4 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 4 hours ago

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🔥 Senior Software Developer, Data Technology

Posted about 5 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 5 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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🔥 Senior Security Engineer

Posted about 6 hours ago

📍 Canada

🧭 Full-Time

💸 150000.0 - 172000.0 USD per year

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

4+ years of experience working as a SecOps Engineer
Experience mitigating and maintaining compliance controls (e.g. , ISO27001, SOC2, PCI DSS)
Experience with containerized applications running in AWS
A strong understanding of cloud infrastructure networking and security policies
Familiarity with infrastructure as code tools such as Terraform
A history of effective collaboration with development teams to uphold security best practices (OWASP, etc.)
Adept at working with a high degree of autonomy and initiative.
Strong problem-solving, technical design, and analytical skills.
Able to balance multiple competing priorities while solving challenging problems.
Excellent teamwork and communication with other software engineers, your leadership, and others with less technical backgrounds.
Act with compassion and empathy for others. Believe that your team’s success is your success.

💡 Responsibilities

Work with your team and across the Product Engineering teams to design and deploy processes and tools that help our teams raise the security standard at Procurify and deliver a secure product for our customers
Follow DevSecOps principles to shift security left
Work with engineering teams to ensure that security is a major driver of our engineering designs
Complete STRIDE assessments for each significant security engineering feature
Develop best-in-class security policies for our application development and cloud infrastructure
Maintain a high degree of compliance across the organization
Implement and monitor a SIEM tool to detect and remediate security events
Detect, triage and respond to security incidents within SLOs
Collaborate with product development teams to mitigate and prevent security vulnerabilities
Detect, triage, and mitigate vulnerabilities in collaboration with the engineering teams

AWS Python Cloud Computing Cybersecurity Kubernetes Analytical Skills CI/CD Problem Solving RESTful APIs DevOps Terraform Microservices Compliance Excellent communication skills Teamwork

Posted about 6 hours ago

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🔥 Lead Partner Sales Engineer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 166372.19 - 207965.24 USD per year

🔍 Software Development

🔧 Requirements

Deep understanding of GSI and Reseller pre-sales motions, including how solution architects, pre-sales technical specialists and technical teams participate in discovery workshops, opportunity qualification, proof-of-concepts, and technical validation sessions. This includes understanding how technology choices impact project economics and delivery timelines.
Experience with GSI and Reseller sales methodologies, particularly how they identify and qualify opportunities through both client-direct and vendor-partner channels and how they manage complex, multi-stakeholder, multi-vendor, multi-tech option sales cycles.
Knowledge of how GSIs and Resellers approach technical enablement and skills development, including their internal training programs and certification paths, and how they maintain technical excellence across delivery teams while managing utilization targets.
Cloud data platforms and data lakes: Snowflake, Databricks, Redshift, BigQuery, Synapse, S3, ADLS, OneLake, Hadoop - Hands-on experience with modern cloud data platforms and data lake architectures
Data workloads including data warehousing, data lakes, AI, ML, Gen AI, data applications, data engineering
Open table formats: Iceberg, Delta Lake, Hudi
Data movement technologies: Fivetran, HVR, Matillion, Airbyte, Informatica, Talend, Datastage, ADF, AWS Glue. Hands-on experience with traditional (or more modern) ETL/ELT solutions
Databases: Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, CosmosDB, SAP HANA.
Applications: Salesforce, Google Analytics, ServiceNow, Hubspot, etc.
ERP solutions: SAP, Oracle, Workday, etc.
Data transformation solutions: dbt Core, dbt Cloud, Coalesce, Informatica
Gen AI: approaches, concepts, and the Gen AI technology ecosystem for hyperscalers, cloud data platforms, and solution-specific ISVs
REST APIs: Experience programmatically interacting with REST APIs
Data Infrastructure, Data Security, Data Governance and Application Development: strong understanding of technical architectures and approaches
Programming languages: Python, SQL

💡 Responsibilities

Create, develop, build, and take ownership of ongoing relationships with GSI and Reseller pre-sales technical team members, lead architects, and other technical recommenders to create multiple Fivetran technical evangelists and champions within each GSI and Reseller partner.
Interact daily with Fivetran’s top GSI and Reseller partners while tracking, measuring, and driving 3 primary KPIs - partners enabled, gtm activities supported, and technical content created.
Represent Fivetran as the partner technical liaison plus product, data and solution expert. Collaborate with the strategic GSI and Reseller Partner Sales Managers to enable new and existing GSI and Reseller partners to understand Fivetran's value, differentiation, messaging, and technical/business value.
Assist Fivetran Partner Sales Managers in communicating and demonstrating Fivetran’s value prop to existing and prospective partners to get them excited about partnering with Fivetran
Get hands-on with all aspects of Fivetran and the broader data ecosystem technologies listed above in building out live demos, hands-on labs, solution prototypes, and Fivetran/GSI/Reseller joint solutions.
Communicate customer requirements and competitor solutions. Provide a strong technical response to partner requests. Engage the customer SE team and communicate client requirements for individual client opportunities.

PostgreSQL Python SQL Business Intelligence Cloud Computing ETL Hadoop MongoDB MySQL Oracle Salesforce SAP Snowflake Google Analytics Data engineering Analytical Skills Mentoring Presentation skills Excellent communication skills Relationship building Strong communication skills

Posted about 7 hours ago

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🔥 Software Engineer, Fullstack

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Fullstory

🔧 Requirements

Understanding of data structures and API design to enable functionality across services.
Experience collaborating with others to reach technical decisions through clear communication and documentation.
Proficiency in writing production code in one or more languages such as Go, Java, Python, JavaScript, or TypeScript — with a willingness to learn new languages.
Experience building web applications using React, TypeScript, or similar front end technologies.
Exposure to cloud-based services and an eagerness to learn technologies like Kubernetes, gRPC, document search databases, or distributed data storage systems.
Bachelor's degree in Computer Science or a related field.

💡 Responsibilities

Collaborate with teammates to craft the strategy and execution for scaling Fullstory’s flagship application.
Ideate with our core team on how to best leverage AI capabilities to further customer delight.
Engineer systems that operate at hundreds of thousands of requests per second.
Maintain and troubleshoot parts of Fullstory’s production environment.
Work closely with design and product counterparts to propose new solutions for customer pain points.
Work closely with customers through our co-creation process, collaborating to craft purpose-built solutions that meet their unique needs and drive exceptional value.

Backend Development Python Software Development Agile Cloud Computing Frontend Development Full Stack Development Java Javascript Kubernetes React.js TypeScript API testing Data Structures Go gRPC REST API Communication Skills Analytical Skills CI/CD Problem Solving Customer service DevOps Software Engineering

Posted about 7 hours ago

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🔥 Director of Data Engineering (Remote USA)

Posted about 7 hours ago

📍 United States

💸 92000.0 - 180000.0 USD per year

🔍 Software Development

🔧 Requirements

Strong experience leading/managing a team of software engineers to develop applications
Ability to work closely with other leaders to scale our technology and the Engineering organization
Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
Ability to drive technical projects and planning
Strong communication skills; able to disseminate information across the organization and have strategic influence
A minimum of 7 years’ experience developing production-grade systems
A minimum of 5 years’ experience managing developers and DevOps teams

💡 Responsibilities

Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
Provide strategic support and challenge decisions through thought-provoking questions.
Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
Simplify complex problems to make them manageable for the organization
Drive organizational change effectively
Foster strong cross-functional communication and collaboration
Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
Drive the adoption of cloud best practices, microservices, and scalable architecture
Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
Effectively manage remote engineers
Provide technical and organizational leadership across the engineering team
Coach/mentor team members to encourage professional and career growth

Leadership Software Development SQL Cloud Computing ETL Machine Learning Microsoft Azure People Management Cross-functional Team Leadership Algorithms Azure Data engineering Data science Communication Skills Analytical Skills CI/CD DevOps Microservices Data visualization Stakeholder management Data modeling Data management

Posted about 7 hours ago

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🔥 Senior DevOps Engineer, US

Posted about 8 hours ago

📍 United States

🧭 Full-Time

💸 180000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: DriveWealth👥 251-500💰 $450,000,000 Series D over 3 years agoCryptocurrency Artificial Intelligence (AI)Developer APIs Financial Services Personal Finance Wealth Management FinTech Software Trading Platform Cloud Infrastructure

🔧 Requirements

Expert in the system build configuration automation – Jenkins or equivalent
5+ years of experience in Linux
Experience building and maintaining a SaaS platform
Experience with AWS: VPC, EC2, RDS, Terraform or CloudFormation, Docker and Kubernetes
Experience with project management tools (Jira, Confluence)
Solid understanding of network and connectivity protocols – TCP/IP, DNS, VPNs, TGWs, and firewall appliances

💡 Responsibilities

Architect, build, and run production environments in AWS using Infrastructure as code methods
Managed and responsible for Linux system uptime and performance.
Manage and maintain Jenkins, Kubernetes, Docker, Chef, Ansible, and JFrog Artifactory.
Orchestrate environment development using Kubernetes, Terraform, and/or CloudFormation.
Build and deploy CI pipeline automation to a combination of Kubernetes/Docker and VM-based systems in AWS.
Work closely with System Architects, Engineers, Product Managers, and System Administrators to meet their environment setup and service automation needs.
Develop a process to integrate DevOps into the engineering development, service deployment, and operations lifecycle, including patch and image management.
System monitoring and analytics.

AWS Docker Project Management AWS EKS Bash Cloud Computing Jenkins Kubernetes REST API CI/CD Linux DevOps Terraform Microservices Networking Ansible Scripting SaaS

Posted about 8 hours ago

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Shown 10 out of 495

Cloud Computing Job Salaries

Median high-range salary for jobs requiring Cloud Computing:

Skills and Salary

Communication Skills

DevOps

AWS

CI/CD

Kubernetes

RESTful APIs

SQL

Python

REST API

Industries and Salary

Technology

Software Development

Cybersecurity

Healthcare

Insurance

Fintech

Artificial Intelligence

Cloud Computing

Data Engineering

Information Technology

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