Go Job Salaries

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

Go

Median high-range salary for jobs requiring Go:

$200,000

This analysis is based on salary ranges collected from 290 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 $149,000 - $200,000

  • 25% of job descriptions advertised a maximum salary above $240,000.
  • 5% of job descriptions advertised a maximum salary above $310,000.

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 Kubernetes, Python 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.

  1. Kubernetes

    29% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $155,000 - $215,000

    • 25% of job descriptions advertised a maximum salary above $250,500.
    • 5% of job descriptions advertised a maximum salary above $303,900.
  2. Python

    37% jobs mention Python as a required skill. The Median Salary Range for these jobs is $160,000 - $210,000

    • 25% of job descriptions advertised a maximum salary above $246,750.
    • 5% of job descriptions advertised a maximum salary above $310,000.
  3. AWS

    34% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $155,000 - $205,000

    • 25% of job descriptions advertised a maximum salary above $227,850.
    • 5% of job descriptions advertised a maximum salary above $309,100.
  4. Leadership

    27% jobs mention Leadership 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 $270,000.
    • 5% of job descriptions advertised a maximum salary above $319,300.
  5. Communication Skills

    38% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $125,000 - $175,000

    • 25% of job descriptions advertised a maximum salary above $219,862.5.
    • 5% of job descriptions advertised a maximum salary above $299,750.
  6. Collaboration

    34% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $125,000 - $170,000

    • 25% of job descriptions advertised a maximum salary above $214,375.
    • 5% of job descriptions advertised a maximum salary above $289,730.
  7. Problem Solving

    26% jobs mention Problem Solving as a required skill. The Median Salary Range for these jobs is $125,000 - $170,000

    • 25% of job descriptions advertised a maximum salary above $209,037.5.
    • 5% of job descriptions advertised a maximum salary above $297,500.
  8. Analytical Skills

    24% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $120,000 - $165,000

    • 25% of job descriptions advertised a maximum salary above $200,000.
    • 5% of job descriptions advertised a maximum salary above $285,000.
  9. Negotiation

    24% jobs mention Negotiation as a required skill. The Median Salary Range for these jobs is $120,000 - $154,000

    • 25% of job descriptions advertised a maximum salary above $198,033.75.
    • 5% of job descriptions advertised a maximum salary above $290,000.

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 Artificial Intelligence, Fintech and Cloud software development. 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.

  1. Artificial Intelligence

    1% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000

    • 25% of job descriptions advertised a maximum salary above $271,000.
    • 5% of job descriptions advertised a maximum salary above $278,000.
  2. Fintech

    1% jobs are in Fintech industry. The Median Salary Range for these jobs is $166,000 - $230,000

    • 25% of job descriptions advertised a maximum salary above $276,000.
    • 5% of job descriptions advertised a maximum salary above $282,000.
  3. Cloud software development

    2% jobs are in Cloud software development industry. The Median Salary Range for these jobs is $180,500 - $227,850

  4. Software Development

    25% jobs are in Software Development industry. The Median Salary Range for these jobs is $150,000 - $212,500

    • 25% of job descriptions advertised a maximum salary above $267,285.
    • 5% of job descriptions advertised a maximum salary above $329,325.
  5. Cybersecurity

    2% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $160,000 - $210,000

    • 25% of job descriptions advertised a maximum salary above $265,000.
    • 5% of job descriptions advertised a maximum salary above $295,000.
  6. Cloud Security

    1% jobs are in Cloud Security industry. The Median Salary Range for these jobs is $162,800 - $191,500

    • 25% of job descriptions advertised a maximum salary above $205,000.
  7. Biopharmaceutical

    1% jobs are in Biopharmaceutical industry. The Median Salary Range for these jobs is $133,000 - $190,000

    • 25% of job descriptions advertised a maximum salary above $261,250.
    • 5% of job descriptions advertised a maximum salary above $285,000.
  8. AI and machine learning

    1% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $150,000 - $175,000

    • 25% of job descriptions advertised a maximum salary above $193,750.
    • 5% of job descriptions advertised a maximum salary above $200,000.
  9. Construction management software

    1% jobs are in Construction management software industry. The Median Salary Range for these jobs is $125,700 - $172,837.5

    • 25% of job descriptions advertised a maximum salary above $219,450.
  10. B2B SaaS

    2% jobs are in B2B SaaS industry. The Median Salary Range for these jobs is $130,000 - $165,000

    • 25% of job descriptions advertised a maximum salary above $175,000.

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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📍 Canada

💸 110000.0 - 180000.0 CAD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

  • 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
  • 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

AWSBackend DevelopmentDockerPostgreSQLPythonCloud ComputingElasticSearchGitJavascriptKafkaOAuthAlgorithmsData StructuresGoREST APIRedisMicroservicesSoftware Engineering

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📍 Canada

🧭 Full-Time

💸 150000.0 - 225000.0 CAD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

  • Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems)
  • 8+ years of backend development experience
  • The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you
  • The desire to ship code and the love of seeing your bits run in production
  • 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
  • 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

AWSBackend DevelopmentGraphQLPostgreSQLPythonCybersecurityElasticSearchGitKafkaOAuthSoftware ArchitectureAlgorithmsAPI testingData StructuresGoREST APIRedisSoftware Engineering

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📍 United States

🧭 Full-Time

💸 155000.0 - 255000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

  • Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems)
  • 12+ 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
  • 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

AWSBackend DevelopmentGraphQLPostgreSQLPythonCybersecurityElasticSearchGitKafkaOAuthAlgorithmsData StructuresGoRedisRESTful APIsTeamworkSoftware Engineering

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📍 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 InsuranceProperty InsuranceInsuranceCommercial InsuranceAuto Insurance

  • 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.
  • 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.)

DockerPostgreSQLPythonSQLApache AirflowCloud ComputingETLGCPKafkaKubernetesData engineeringGoREST APICI/CDTerraformData modelingScriptingData management

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📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Software Development

  • 5+ years of experience as a software engineer in large-scale distributed systems.
  • 8+ years of hands-on, professional software development experience in one or more general purpose programming languages (Go, Python, Java, C++)
  • Experienced with GraphQL, REST, HTTP, gRPC, Thrift basics, and the ability to design and implement maintainable APIs
  • Experienced with distributed caching layers, and distributed large scale data storage systems like Redis.
  • Familiarity with image processing and delivery technologies such as image scaling, cropping, and image formats like progressive JPEG, WebP, etc.
  • Familiarity with HTTP Live Streaming (HLS), MPEG-DASH, MP4, and other streaming protocols, as well as video compression standards (H.264, H.265/HEVC, VP9, AV1)
  • Working knowledge of CDN technologies (Fastly, Cloudfare, Cloudfront) to optimize video delivery. Experienced with domain specific language like VCL.
  • Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
  • Architect and evolve Reddit media infrastructure to deliver scalable, high-performance solutions that set new benchmarks for the industry.
  • Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
  • Lead a team of thoughtful, fast-moving, and motivated engineers. Set and define standards that improve developer workflows, recommend best practices, and help coach and mentor engineers on the team to further their professional development.
  • Continuously learn and improve your technical and non-technical abilities.

AWSBackend DevelopmentDockerGraphQLLeadershipProject ManagementPythonSoftware DevelopmentSQLAgileData AnalysisDesign PatternsImage ProcessingJavaKubernetesC++Cross-functional Team LeadershipAlgorithmsAPI testingData StructuresGogRPCRedisCommunication SkillsCI/CDProblem SolvingRESTful APIsMentoringOrganizational skillsMicroservicesTechnical supportSoftware Engineering

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📍 United States

💸 175000.0 - 200000.0 USD per year

🔍 Commercial Real Estate Technology

🏢 Company: jlltcareers

  • 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
  • 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

AWSPythonBashCloud ComputingGitJenkinsKafkaKubernetesSoftware ArchitectureAzureGoCI/CDRESTful APIsDevOpsTerraformMicroservicesJSONSaaS

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📍 United States

🧭 Full-Time

💸 164200.0 - 229900.0 USD per year

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

  • 3+ years of experience designing and developing distributed backend systems
  • IAM backend experience in either authorization or authentication
  • Proficiency in one or more general purpose programming languages (preferably Go).
  • Capability with essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP).
  • Steer: Work with the team to select, scope, and execute on high leverage projects that align with Reddit’s goals.
  • Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around IAM.
  • XFN Collaboration: Work together with a variety of cross functional teams across Reddit Engineering.
  • Evolve: Learn and improve your own technical and non-technical abilities.

AWSBackend DevelopmentSoftware DevelopmentGCPKubernetesGoCI/CDRESTful APIs

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📍 United States, Canada

🧭 Full-Time

💸 153000.0 - 184000.0 CAD per year

🔍 Software Development

🏢 Company: Grafana Labs👥 501-1000💰 $240,000,000 Series D almost 3 years agoSoftware Development

  • Backend technologies: Strong expertise in Go and familiarity with other backend languages is valued.
  • Containerization and orchestration: Docker, Kubernetes.
  • CI/CD and DevOps: Knowledge of building pipelines, automated testing, and deployment strategies.
  • Monitoring and observability: Familiarity with tools like Grafana, Prometheus, or other observability platforms.
  • Front-end technologies (nice to have): TypeScript, React, Redux, and RxJS.
  • Building enterprise Grafana plugins to integrate third party services or databases into Grafana
  • Innovating our plugin system to allow for enhanced capabilities
  • Supporting the operations and reliability of our plugins in Grafana Cloud
  • Coming up with suggestions for process improvements
  • Providing technical support in customer escalations
  • Working closely with the rest of the Grafana Division

Backend DevelopmentDockerSoftware DevelopmentSQLAgileKubernetesRxJSSCRUMTypeScriptGoGrafanaREST APIReduxReactCommunication SkillsCI/CDProblem SolvingDevOpsJSON

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📍 United States

🧭 Full-Time

💸 137000.0 - 270000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabaseOpen SourceCloud ComputingSaaSSoftware

  • 10+ years software engineering, primarily focused on backend systems
  • Strong systems programming background; Go and Java experience a plus (but not required)
  • Extensive experience designing and operating distributed systems at scale; Kubernetes experience is a plus (but not required)
  • Experience with large-scale data processing or storage systems (e.g. data lake technologies, distributed databases, disaggregated storage, etc.)
  • Knowledge of modern observability practices and tools
  • Proven ability to lead technical initiatives as an individual contributor
  • Experience mentoring senior engineers and driving technical excellence within a team
  • Lead initiatives to improve system observability, stability, and resource management
  • Design and implement advanced autoscaling solutions for query execution and data processing
  • Reduce incident rates through holistic improvements to system resilience
  • Identify opportunities to improve operating costs in storage and query systems
  • Guide architectural decisions and conduct design reviews across two engineering teams
  • Mentor senior engineers in distributed systems design and operational excellence
  • Collaborate with Product Management on technical roadmap development
  • Drive cross-team technical initiatives and standards
  • Participate in on-call rotation and provide senior oversight for incident response and postmortem retrospectives
  • Design and implement improvements to our distributed query execution engine
  • Optimize data archival pipelines for increased throughput, durability and reliability
  • Design and implement solutions for single-tenant isolation requirements

Backend DevelopmentLeadershipSQLCloud ComputingJavaKubernetesMongoDBData engineeringGoREST APINosqlMentoringLinuxMicroservicesScriptingSoftware EngineeringData management

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📍 United States, Canada

🧭 Full-Time

💸 153000.0 - 184000.0 USD per year

🔍 Software Development

🏢 Company: Grafana Labs👥 501-1000💰 $240,000,000 Series D almost 3 years agoSoftware Development

  • Strong expertise in Go and familiarity with other backend languages is valued.
  • Docker, Kubernetes.
  • Knowledge of building pipelines, automated testing, and deployment strategies.
  • Familiarity with tools like Grafana, Prometheus, or other observability platforms.
  • Building enterprise Grafana plugins to integrate third party services or databases into Grafana
  • Innovating our plugin system to allow for enhanced capabilities
  • Supporting the operations and reliability of our plugins in Grafana Cloud

Backend DevelopmentDockerSoftware DevelopmentFrontend DevelopmentKubernetesRxJSTypeScriptGoGrafanaPrometheusREST APIReduxReactCommunication SkillsAnalytical SkillsCI/CDProblem SolvingDevOpsWritten communicationMicroservicesActive listeningJSONSoftware EngineeringDebuggingEnglish communication

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