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:

$201,000

This analysis is based on salary ranges collected from 450 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 $152,000 - $201,000

25% of job descriptions advertised a maximum salary above $245,880.
5% of job descriptions advertised a maximum salary above $337,200.

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 Leadership, Communication Skills 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.

Leadership
25% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $181,800 - $243,100
- 25% of job descriptions advertised a maximum salary above $276,875.
- 5% of job descriptions advertised a maximum salary above $360,830.
Communication Skills
28% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $163,920 - $211,800
- 25% of job descriptions advertised a maximum salary above $254,750.
- 5% of job descriptions advertised a maximum salary above $370,020.
AWS
52% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,133.33 - $210,000
- 25% of job descriptions advertised a maximum salary above $245,000.
- 5% of job descriptions advertised a maximum salary above $323,424.
Kubernetes
32% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $160,962.5 - $208,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $326,268.
CI/CD
37% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $159,100 - $205,000
- 25% of job descriptions advertised a maximum salary above $245,000.
- 5% of job descriptions advertised a maximum salary above $310,000.
Python
33% jobs mention Python 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 $242,325.
- 5% of job descriptions advertised a maximum salary above $311,800.
SQL
34% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $152,750 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,000.
- 5% of job descriptions advertised a maximum salary above $334,516.
REST API
26% jobs mention REST API as a required skill. The Median Salary Range for these jobs is $158,200 - $200,000
- 25% of job descriptions advertised a maximum salary above $243,750.
- 5% of job descriptions advertised a maximum salary above $322,979.
RESTful APIs
24% jobs mention RESTful APIs as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $243,100.
- 5% of job descriptions advertised a maximum salary above $350,000.

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 Sales, Software as a Service (SaaS) and Technology. 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.

Sales
1% jobs are in Sales industry. The Median Salary Range for these jobs is $209,950 - $278,600
- 25% of job descriptions advertised a maximum salary above $338,600.
- 5% of job descriptions advertised a maximum salary above $340,000.
Software as a Service (SaaS)
1% jobs are in Software as a Service (SaaS) industry. The Median Salary Range for these jobs is $200,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $329,950.
- 5% of job descriptions advertised a maximum salary above $419,800.
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 $304,000.
- 5% of job descriptions advertised a maximum salary above $325,000.
Fintech
2% jobs are in Fintech industry. The Median Salary Range for these jobs is $160,200 - $225,000
- 25% of job descriptions advertised a maximum salary above $243,150.
- 5% of job descriptions advertised a maximum salary above $335,815.
Healthcare
2% jobs are in Healthcare industry. The Median Salary Range for these jobs is $153,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $229,450.
- 5% of job descriptions advertised a maximum salary above $312,000.
Software Development
38% jobs are in Software Development industry. The Median Salary Range for these jobs is $160,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $365,000.
Cybersecurity
4% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $155,000 - $192,000
- 25% of job descriptions advertised a maximum salary above $231,500.
- 5% of job descriptions advertised a maximum salary above $284,710.
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.
Information Technology
1% jobs are in Information Technology industry. The Median Salary Range for these jobs is $163,920 - $186,680
- 25% of job descriptions advertised a maximum salary above $241,470.
- 5% of job descriptions advertised a maximum salary above $245,880.
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 $195,000.
- 5% of job descriptions advertised a maximum salary above $215,000.

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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🔥 Tech lead

Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 190000.0 - 210000.0 USD per year

🔍 Software Development

🏢 Company: Svix👥 1-10💰 $7,750,000 about 2 years agoDeveloper Tools Information Technology Enterprise Software

🔧 Requirements

Experience designing and building high-scale backend systems.
Strong technical, architectural, and troubleshooting skills.
Good “taste” for software and API design.
Proven ability to lead teams, organize projects, and drive execution.
Excellent communication and collaboration skills.
Prior experience as a Tech Lead, Engineering Manager, or similar leadership role.
Experience with Rust, Postgres, and Redis (or ability to ramp up quickly).

💡 Responsibilities

Design, build, and deploy high-quality backend code in a fast-paced environment.
Develop and scale new products and new product features while ensuring stability and performance.
Own technical challenges, making decisions that balance speed, reliability, and maintainability.
Lead the team through sprint planning, mentoring, and execution.
Optimize infrastructure, databases, and system architecture for high availability and efficiency.

AWS Backend Development Docker Leadership PostgreSQL Project Management Software Development SQL Cloud Computing Design Patterns Git Kubernetes Software Architecture Cross-functional Team Leadership API testing Data Structures REST API Redis Rust Communication Skills CI/CD Problem Solving Agile methodologies Mentoring Linux DevOps Microservices Excellent communication skills Team management NodeJS

Posted about 3 hours ago

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🔥 Software Engineer III, Backend - Falcon (Remote, CAN)

Posted about 4 hours ago

📍 Canada

💸 110000.0 - 180000.0 CAD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems)
4+ years of backend development experience
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you
Deep understanding of distributed systems and scalability challenges
Deep understanding of multi-threading, concurrency, and parallel processing technologies
Team player skills – we embrace collaborating as a team as much as possible
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration

💡 Responsibilities

Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products
Leverage and build cloud based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale
Brainstorm, define, and build collaboratively with members across multiple teams
Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team
Be mentored and mentor other developers on web, backend and data storage technologies and our system
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability
Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables
Use and give back to the open source community

AWS Backend Development Docker PostgreSQL Python Cloud Computing ElasticSearch Git Javascript Kafka OAuth Algorithms Data Structures Go REST API Redis Microservices Software Engineering

Posted about 4 hours ago

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🔥 Senior Engineering Manager, Core Platforms

Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 175500.0 - 277500.0 USD per year

🔍 Software Development

🔧 Requirements

Proven expertise in full-stack development with deep specialization in frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
Experience leading engineering teams of 10+ people, with a focus on mentorship, collaboration, and technical leadership.
A track record of driving product innovation and successfully transforming complex ideas into scalable solutions.
Strong problem-solving, communication, and cross-functional collaboration skills in a fast-paced, iterative environment.
Hands-on experience applying AI/Gen AI concepts, integrating ML models into applications, and working with LLMs. Experience with agentic platforms is a plus!

💡 Responsibilities

Full-Stack Leadership: Leverage your frontend expertise (React, Angular, or Vue.js) and robust backend knowledge to build and maintain scalable, high-performance services.
Architectural Excellence: Design resilient, cloud-native architectures, including microservices and data pipelines, for high availability and scalability using AWS, GCP, or Azure.
Product Innovation & Rapid Prototyping: Drive product transformation by identifying opportunities for innovation, creating prototypes, and iterating quickly toward customer-ready solutions.
Software Lifecycle Management: Implement CI/CD pipelines for model training, deployment, monitoring, and versioning, ensuring seamless production rollouts and model observability.
AI & Machine Learning Integration: Collaborate with ML experts to embed AI/Gen AI capabilities, including LLMs, into our products to enhance intelligence and user value.
Tech Trend Awareness: Stay ahead of emerging AI/ML trends (e.g., prompt engineering, transformer architectures) and promote continuous learning within the team.
Team Leadership & Growth: Build and lead a high-performing technical team, fostering collaboration, mentorship, and engineering excellence.
Cross-functional collaboration: Work closely with product, data science, design, and ML teams to deliver features based on A/B testing, user feedback, and analytics.

AWS Backend Development Leadership Cloud Computing Design Patterns Frontend Development Full Stack Development GCP Machine Learning React.js Software Architecture Vue.Js Cross-functional Team Leadership API testing Azure Data engineering Angular Communication Skills Collaboration CI/CD Problem Solving RESTful APIs Mentoring Microservices Team management Prototyping Software Engineering

Posted about 11 hours ago

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🔥 Staff Technical Enablement Specialist

Posted about 11 hours ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🏢 Company: Databricks👥 1001-5000💰 $684,559,082 Series I over 1 year agoArtificial Intelligence (AI)Machine Learning Analytics Information Technology

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers (Preferred)
Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies (Preferred)

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Project Management Python SQL Cloud Computing Data Analysis ETL GCP Machine Learning MLFlow Apache Kafka Azure Data engineering REST API Communication Skills Collaboration CI/CD Problem Solving Mentoring Presentation skills Training Data visualization Stakeholder management Strategic thinking Data modeling Customer Success

Posted about 11 hours ago

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🔥 Data Engineer

Posted 1 day ago

📍 United States

💸 112800.0 - 126900.0 USD per year

🔍 Software Development

🏢 Company: Titan Cloud

🔧 Requirements

4+ years of work experience with ETL, Data Modeling, Data Analysis, and Data Architecture.
Experience operating very large data warehouses or data lakes.
Experience with building data pipelines and applications to stream and process datasets at low latencies.
MySQL, MSSQL Database, Postgres, Python

💡 Responsibilities

Design, implement, and maintain standardized data models that align with business needs and analytical use cases.
Optimize data structures and schemas for efficient querying, scalability, and performance across various storage and compute platforms.
Provide guidance and best practices for data storage, partitioning, indexing, and query optimization.
Developing and maintaining a data pipeline design.
Build robust and scalable ETL/ELT data pipelines to transform raw data into structured datasets optimized for analysis.
Collaborate with data scientists to streamline feature engineering and improve the accessibility of high-value data assets.
Designing, building, and maintaining the data architecture needed to support business decisions and data-driven applications. This includes collecting, storing, processing, and analyzing large amounts of data using AWS, Azure, and local tools and services.
Develop and enforce data governance standards to ensure consistency, accuracy, and reliability of data across the organization.
Ensure data quality, integrity, and completeness in all pipelines by implementing automated validation and monitoring mechanisms.
Implement data cataloging, metadata management, and lineage tracking to enhance data discoverability and usability.
Work with Engineering to manage and optimize data warehouse and data lake architectures, ensuring efficient storage and retrieval of structured and semi-structured data.
Evaluate and integrate emerging cloud-based data technologies to improve performance, scalability, and cost efficiency.
Assist with designing and implementing automated tools for collecting and transferring data from multiple source systems to the AWS and Azure cloud platform.
Work with DevOps Engineers to integrate any new code into existing pipelines
Collaborate with teams in trouble shooting functional and performance issues.
Must be a team player to be able to work in an agile environment

AWS PostgreSQL Python SQL Agile Apache Airflow Cloud Computing Data Analysis ETL Hadoop MySQL Data engineering Data science REST API Spark Communication Skills Analytical Skills CI/CD Problem Solving Terraform Attention to detail Organizational skills Microservices Teamwork Data visualization Data modeling Scripting

Posted 1 day ago

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🔥 Field CTO, Insurance

Posted 1 day ago

📍 United States

🧭 Employee

💸 150000.0 - 220000.0 USD per year

🔍 Insurance

🏢 Company: Ensono

🔧 Requirements

Client Executive Communications: The ability to gain access and demonstrate Ensono’s value with our Client’s CIO, COO, CFO, and VP level executives. “Real world” knowledge of IT technologies including platform, business applications, digital services, and integrations.
Experience combining these areas of expertise to address the client’s key IT and business challenges, focus areas and business objectives, and can specify business value from the client’s perspective.
Candidates should have proven and demonstratable experiences of consultative selling by fostering executive relationships, demonstrating thought leadership, and communications with CIO, COO, CFO, and Vice Presidents.
Insurance Industry experience
Extensive industry experience aligned with client industry, preferably in a senior leader role
Broad knowledge of IT technologies including mainframe, cloud, networking, storage, application development, security, and industry relevant SaaS applications
Experience as technical lead for a major technology implementation or technical project / program
Bachelor's degree in a technology related field or equivalent experience

💡 Responsibilities

Establish working relationships with client executives and thereby understand client business priorities and IT needs
Participate in the development of both standard and custom technology solutions to meet specific client requirements including pricing and commercial modeling.
Work with Ensono product management to improve the performance of Ensono services, generate and demonstrate greater value and consistently contribute to improving client satisfaction.
Actively promote the company's technology solutions to clients and the broader industry.
Oversee the implementation of technological solutions to ensure they meet client expectations.

AWS Leadership Project Management SQL Cloud Computing Data Analysis GCP Software Architecture Cross-functional Team Leadership Azure Strategic Management Communication Skills Analytical Skills RESTful APIs DevOps Networking Excellent communication skills Relationship building Problem-solving skills Negotiation skills Client relationship management Cross-functional collaboration Strategic thinking Change Management SaaS

Posted 1 day ago

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🔥 Data Engineer II (Remote, US)

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 108000.0 - 162000.0 USD per year

🔍 Insurance

🏢 Company: Openly👥 251-500💰 $100,000,000 Series D over 1 year agoLife Insurance Property Insurance Insurance Commercial Insurance Auto Insurance

🔧 Requirements

1 to 2 years of data engineering and data management experience.
Scripting skills in one or more of the following: Python.
Basic understanding and usage of a development and deployment lifecycle, automated code deployments (CI/CD), code repositories, and code management.
Experience with Google Cloud data store and data orchestration technologies and concepts.
Hands-on experience and understanding of the entire data pipeline architecture: Data replication tools, staging data, data transformation, data movement, and cloud based data platforms.
Understanding of a modern next generation data warehouse platform, such as the Lakehouse and multi-data layered warehouse.
Proficiency with SQL optimization and development.
Ability to understand data architecture and modeling as it relates to business goals and objectives.
Ability to gain an understanding of data requirements, translate them into source to target data mappings, and build a working solution.
Experience with terraform preferred but not required.

💡 Responsibilities

Design, create, and maintain data solutions. This includes data pipelines and data structures.
Work with data users, data science, and business intelligence personnel, to create data solutions to be used in various projects.
Translating concepts to code to enhance our data management frameworks and services to strive towards providing a high quality data product to our data users.
Collaborate with our product, operations, and technology teams to develop and deploy new solutions related to data architecture and data pipelines to enable a best-in-class product for our data users.
Collaborating with teammates to derive design and solution decisions related to architecture, operations, deployment techniques, technologies, policies, processes, etc.
Participate in domain, stand ups, weekly 1:1's, team collaborations, and biweekly retros
Assist in educating others on different aspects of data (e.g. data management best practices, data pipelining best practices, SQL tuning)
Build and share your knowledge within the data engineer team and with others in the company (e.g. tech all-hands, tech learning hour, domain meetings, code sync meetings, etc.)

Docker PostgreSQL Python SQL Apache Airflow Cloud Computing ETL GCP Kafka Kubernetes Data engineering Go REST API CI/CD Terraform Data modeling Scripting Data management

Posted 1 day ago

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🔥 Security Operations Engineer

Posted 1 day ago

📍 United States, internationally

💸 155000.0 - 175000.0 USD per year

🔍 Cybersecurity

🔧 Requirements

Minimum of 3 years of hands-on experience in a security operations or security engineering function within a modern, cloud and SaaS-heavy environment.
Proven experience with a broad range of security technologies.
Strong networking and systems knowledge, including a strong understanding of macOS, Windows, and Linux.
Advanced proficiency in SIEM platforms for incident detection, investigation, and response.
Proficiency in Python scripting and development for security automation is highly preferred.
Familiarity with cloud infrastructure engineering principles, particularly Infrastructure as Code, (Terraform experience is a big plus).
Experience with Cloud Native Application Protection Platforms (CNAPP) is a big plus.

💡 Responsibilities

Investigate alerts and events that may have security implications.
Respond to and coordinate cross-team efforts during potential security incidents.
Design and implement threat detection, response, and hunting activities.
Develop automation to reduce the likelihood of future incidents.
Evaluate, implement, and maintain modern cloud-native security tooling related to corporate and product infrastructure.
Implement, improve, and maintain code-driven detection and response capabilities of our SIEM platform.
Follow industry security trends, advisories, news, and general research, and advise stakeholders across the company on how to stay ahead of relevant security risks.
Conduct security reviews and provide approval for pull requests related to significant infrastructure changes.

AWS Python Cloud Computing Cybersecurity RESTful APIs Linux DevOps Terraform Scripting

Posted 1 day ago

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🔥 Cloud Platform Architecture & Enablement Lead

Posted 1 day ago

📍 United States

💸 175000.0 - 200000.0 USD per year

🔍 Commercial Real Estate Technology

🏢 Company: jlltcareers

🔧 Requirements

8+ years of experience in 24x7 production operations for a SaaS or cloud service provider
Deep expertise in cloud technologies, particularly AWS or Azure IaaS and PaaS offerings
Extensive experience with cloud-native architectures, including container orchestration platforms like Kubernetes
Deployed and managed Infrastructure as Code (Terraform) for various cloud resources, including container platforms
System programming skills in Go, Python, PowerShell, Bash etc.
Familiar with CI/CD practices and tools (Git, Jenkins, Azure DevOps) and have implemented pipelines for cloud-native applications
Can diagnose and troubleshoot applications running in diverse cloud environments
Strong understanding of cloud networking concepts and implementation
Understand distributed, event-based messaging architectures (Azure Event Hub, Azure Service Bus, Kafka, etc.) and how they integrate with various cloud services
Experience with leading infrastructure and application monitoring tools (DataDog, Splunk) and their integration with cloud services, including but not limited to Kubernetes
Strong interpersonal and team skills - ability to implement processes and influence engineers who are not direct reports
Can operate in an agile, collaborative, entrepreneurial start-up environment

💡 Responsibilities

Build and maintain resilient, secure, and efficient cloud-based SaaS application platforms to meet established service levels
Architect and implement cloud solutions tailored to specific business vertical needs
Automate build, test, and deployment for distributed, fault-tolerant cloud infrastructure
Implement monitoring and incident response for distributed applications across various cloud services
Collaborate with developers to bring new features and services into production using cloud-native best practices
Utilize a combination of open-source and custom software to solve product challenges in cloud environments
Drive improvement to operational practices and procedures for cloud and container-based systems
Proactively meet standards for information security and compliance in cloud environments, such as ISO, SOX, SSAE 16, etc.
Exert considerable influence on the overall objectives and long-term goals of your team regarding cloud strategy
Shepherd the definition, documentation, and improvement of our internal standards for style, maintainability, and best practices for high-scale cloud environments
Represent JLLT Engineering and its values in public communication around broad cloud initiatives, specific projects, and community contributions
Drive innovation on the team with a willingness to experiment and to boldly confront complex cloud architecture problems
Actively seek out and address technical debt in our cloud infrastructure, proposing and implementing solutions to enhance team efficiency

AWS Python Bash Cloud Computing Git Jenkins Kafka Kubernetes Software Architecture Azure Go CI/CD RESTful APIs DevOps Terraform Microservices JSON SaaS

Posted 1 day ago

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🔥 Sr. Systems Engineer, Salesforce

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 129818.0 - 267272.0 USD per year

🔍 Software Development

🏢 Company: Pinterest👥 5001-10000💰 Post-IPO Equity over 2 years ago🫂 Last layoff about 2 years agoInternet Social Network Software Social Media Social Bookmarking

🔧 Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
A minimum of 10 years of software engineering experience, including familiarity with developing solutions on the Salesforce platform.
Strong proficiency in JavaScript and experience with one or more of the following programming languages: Java, Node.js, and/or Python.
Familiarity with one or more cloud platforms, such as Salesforce, AWS, or Azure, with an understanding of their services and deployment models.
Familiarity with Salesforce architecture and functionality, including Sales Cloud, Service Cloud, and Salesforce integrations
Demonstrated experience in designing and implementing distributed systems and robust, fault-tolerant integrations.
Strong understanding of core sales and marketing processes such as lead generation and management, account management, pipeline management, quoting, order management, sales support. Experience in the ads industry is preferred.
Excellent communication, collaboration and leadership skills, with the ability to lead and work effectively in cross-functional, diverse teams.
Exceptional problem-solving skills, capable of translating complex business requirements into effective engineering solutions.
Solid understanding of Agile principles and methodologies to drive and deliver software development projects.
Outcome oriented: You focus on delivering outcomes compared to outputs by leveraging technology to positively impact key business performance metrics

💡 Responsibilities

Lead the design and development of custom Salesforce applications and features that support strategic initiatives for our Sales and Marketing teams.
Oversee the entire software development lifecycle for Salesforce projects, including technical requirements gathering, solution architecture, coding, testing, and deployment.
Collaborate closely with product managers and other engineers to integrate Salesforce solutions seamlessly with existing systems, ensuring robust performance and scalability.
Implement best practices for Salesforce development, including version control, code reviews, and continuous integration, to maintain high-quality standards.
Provide technical mentorship to junior engineers and contribute to technical decision-making processes.
Engage in troubleshooting and performance optimization to enhance system reliability and efficiency.

Leadership Node.js Project Management Python Software Development SQL Agile Cloud Computing Java Javascript Salesforce REST API Communication Skills CI/CD Problem Solving Agile methodologies Mentoring Teamwork Software Engineering

Posted 1 day ago

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Shown 10 out of 512

Cloud Computing Job Salaries

Median high-range salary for jobs requiring Cloud Computing:

Skills and Salary

Leadership

Communication Skills

AWS

Kubernetes

CI/CD

Python

SQL

REST API

RESTful APIs

Industries and Salary

Sales

Software as a Service (SaaS)

Technology

Fintech

Healthcare

Software Development

Cybersecurity

Insurance

Information Technology

Artificial Intelligence

Jobs