Python Job Salaries

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

Python

Median high-range salary for jobs requiring Python:

$198,848.15

This analysis is based on salary ranges collected from 1100 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 $148,385 - $198,848.15

  • 25% of job descriptions advertised a maximum salary above $231,850.
  • 5% of job descriptions advertised a maximum salary above $300,000.

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 Machine Learning, Communication Skills and Kubernetes. 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. Machine Learning

    32% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $160,000 - $219,487.67

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $325,500.
  2. Communication Skills

    23% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $150,000 - $204,690

    • 25% of job descriptions advertised a maximum salary above $240,000.
    • 5% of job descriptions advertised a maximum salary above $303,900.
  3. Kubernetes

    27% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $155,300 - $204,220.33

    • 25% of job descriptions advertised a maximum salary above $240,000.
    • 5% of job descriptions advertised a maximum salary above $306,600.
  4. Cloud Computing

    20% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $153,000 - $201,000

    • 25% of job descriptions advertised a maximum salary above $245,000.
    • 5% of job descriptions advertised a maximum salary above $310,000.
  5. AWS

    44% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $154,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $235,900.
    • 5% of job descriptions advertised a maximum salary above $300,000.
  6. CI/CD

    28% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $147,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $232,000.
    • 5% of job descriptions advertised a maximum salary above $294,062.5.
  7. Docker

    20% jobs mention Docker 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 $235,750.
    • 5% of job descriptions advertised a maximum salary above $300,000.
  8. Data Analysis

    24% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $144,000 - $199,000

    • 25% of job descriptions advertised a maximum salary above $235,000.
    • 5% of job descriptions advertised a maximum salary above $316,750.
  9. SQL

    49% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $143,377.4 - $190,000

    • 25% of job descriptions advertised a maximum salary above $225,375.
    • 5% of job descriptions advertised a maximum salary above $300,000.

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 Fintech, Software Development and Artificial Intelligence. 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. Fintech

    4% jobs are in Fintech industry. The Median Salary Range for these jobs is $169,000 - $211,000

    • 25% of job descriptions advertised a maximum salary above $240,000.
    • 5% of job descriptions advertised a maximum salary above $322,000.
  2. Software Development

    27% jobs are in Software Development industry. The Median Salary Range for these jobs is $151,333.33 - $200,000

    • 25% of job descriptions advertised a maximum salary above $243,050.
    • 5% of job descriptions advertised a maximum salary above $310,000.
  3. Artificial Intelligence

    2% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $150,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $435,250.
  4. Healthcare technology

    1% jobs are in Healthcare technology industry. The Median Salary Range for these jobs is $175,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $230,000.
    • 5% of job descriptions advertised a maximum salary above $258,500.
  5. Legal Services

    1% jobs are in Legal Services industry. The Median Salary Range for these jobs is $135,000 - $199,000

    • 25% of job descriptions advertised a maximum salary above $227,000.
    • 5% of job descriptions advertised a maximum salary above $229,550.
  6. Mental Health

    1% jobs are in Mental Health industry. The Median Salary Range for these jobs is $157,500 - $193,550

    • 25% of job descriptions advertised a maximum salary above $200,000.
    • 5% of job descriptions advertised a maximum salary above $291,500.
  7. Financial Services

    1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $124,500 - $190,000

    • 25% of job descriptions advertised a maximum salary above $227,700.
    • 5% of job descriptions advertised a maximum salary above $272,800.
  8. Healthcare

    4% jobs are in Healthcare industry. The Median Salary Range for these jobs is $150,000 - $187,500

    • 25% of job descriptions advertised a maximum salary above $214,000.
    • 5% of job descriptions advertised a maximum salary above $251,200.
  9. Cybersecurity

    4% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $135,000 - $180,000

    • 25% of job descriptions advertised a maximum salary above $213,750.
    • 5% of job descriptions advertised a maximum salary above $265,500.
  10. Healthcare Technology

    1% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $130,000 - $170,000

    • 25% of job descriptions advertised a maximum salary above $210,000.
    • 5% of job descriptions advertised a maximum salary above $229,200.

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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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 175500.0 - 277500.0 USD per year

๐Ÿ” Software Development

  • Passion for ML Infrastructure: We value enthusiasm for advancing ML infrastructure.
  • Proven Impact: Show us your track record of delivering impactful solutions.
  • Innovative Thinker: Bring creativity and fresh ideas to the table.
  • Technical Proficiency: Solid foundation in software engineering and ML concepts.
  • Collaborative Mindset: Strong communication and teamwork skills are a must.
  • Continuous Learner: Stay updated with the latest advancements in the field.
  • Problem-Solving Skills: Ability to tackle complex problems effectively.
  • Adaptability: Thrive in a fast-paced, dynamic environment.
  • Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
  • Develop and maintain frameworks, libraries, and tools to streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
  • Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
  • Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
  • Stay current with the latest advancements in machine learning infrastructure, distributed computing, and cloud technologies, and integrate them into our platform to drive innovation.
  • Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWSDockerLeadershipPythonSoftware DevelopmentSQLCloud ComputingKubernetesMachine LearningAlgorithmsAPI testingData engineeringData scienceData StructuresCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsMentoringAdaptabilitySoftware Engineering

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๐Ÿ”ฅ Data Engineer
Posted about 2 hours ago

๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 135000.0 - 150000.0 USD per year

๐Ÿ” Fintech

  • 3+ years of experience as a Data Engineer
  • 3+ years of using Apache Airflow in a production setting.
  • Expert in Python and SQL
  • Hands-on experience with cloud platforms such as Google Cloud (GCP) or AWS.
  • Familiarity with our modern data stack: Snowflake, Airflow, Apache Beam, DBT, Looker, Secoda, Fivetran, hightouch
  • BS in Computer Science or equivalent program
  • Develop, maintain, and optimize data pipelines to support analytics, reporting, and business intelligence needs.
  • Design and implement data integrations across multiple backend business systems, ensuring efficient and reliable data flows.
  • Work on streaming data processing using frameworks like Apache Beam to handle real-time data ingestion and transformation.
  • Build and maintain APIs to enable seamless data access and sharing across internal teams and platforms.
  • Manage orchestration and automation of workflows using Airflow on Kubernetes.
  • Ensure data quality, security, and compliance by implementing best practices for monitoring, testing, and governance.
  • Collaborate with analytics and engineering teams to optimize data models and improve system performance.

AWSPythonSQLApache AirflowETLGCPKubernetesSnowflakeAPI testingData engineeringData modeling

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๐Ÿ”ฅ 800 - Process Lead
Posted about 18 hours ago

๐Ÿ“ Latin America

๐Ÿงญ Part-Time

๐Ÿ’ธ 700.0 - 1000.0 USD per month

๐Ÿข Company: GoFasti๐Ÿ‘ฅ 10-50

  • 5+ years of experience in process improvement or workflow analysis.
  • Strong expertise in business process mapping, automation readiness assessment, and operational risk analysis.
  • Proficiency in Python scripting.
  • Comfortable working with AI-related tasks.
  • Ability to identify AI and automation opportunities that align with business value and compliance requirements, including reading regulations, refining prompts, and categorizing outputs to develop AI policies.
  • Familiarity with financial services regulations and risk management.
  • Experience with analytics or data governance to enhance business analysis is essential.
  • Strong analytical skills with the ability to connect business actions to potential analytics improvements.
  • Excellent communication and documentation skills, particularly in presenting process optimization opportunities.
  • Develop process maps that highlight high-stakes operational workflows, identifying areas where AI and automation can enhance efficiency and compliance.
  • Support the AI Policy Lead in facilitating stakeholder discussions by asking insightful questions that connect business actions to AI-driven opportunities.
  • Identify key business capabilities and processes that will benefit most from AI adoption, ensuring that AI policy addresses both current operations and future innovation.
  • Ensure that AI policy recommendations align with regulatory requirements, mapping compliance considerations to existing and future AI-driven processes.
  • Provide structured recommendations on AI readiness, process automation, and governance structures, ensuring that policies remain practical and scalable.
  • Develop risk assessment templates, compliance checklists, and AI implementation guidelines to support policy adoption.
  • Reading and analyzing materials is a fundamental part of the role.
  • Aligned with customer requirements, the validation approach is a recognized method for AI testing, with opportunities for further refinement.

PythonArtificial IntelligenceBusiness AnalysisData AnalysisComplianceRisk ManagementProcess improvementData modelingScriptingData management

Posted about 18 hours ago
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๐Ÿ”ฅ Sr. MLOps Engineer
Posted about 18 hours ago

๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 160000.0 - 220000.0 USD per year

๐Ÿ” Healthcare

๐Ÿข Company: AKASA

  • 5+ years of work experience in software development, data engineering or machine learning.
  • Significant experience deploying a trained system to production (recommendation, classification or similar features).
  • Backend web/web services experience with schema design and API implementation focus in a distributed environment.
  • Strong concurrent/parallel/asynchronous programming skills in Python.
  • Familiarity with FastAPI, SQLAlchemy, Postgres.
  • Partner closely with our product, design, and machine learning teams
  • Design, build, and maintain shared APIs, tools, services, and applications
  • Lead and participate in design discussions, planning sessions, and code reviews.
  • Debug issues and support customers
  • Mentor junior engineers on the team
  • Work with team members to shape AKASAโ€™s platform architecture

AWSBackend DevelopmentDockerPostgreSQLPythonSoftware DevelopmentGitKubernetesMachine LearningAlgorithmsAPI testingData engineeringData StructuresFastAPIREST APICommunication SkillsAnalytical SkillsCI/CDProblem SolvingMentoringLinuxMicroservicesDebugging

Posted about 18 hours ago
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๐Ÿ“ United States

๐Ÿ’ธ 68356.34 - 109370.37 USD per year

๐Ÿ” Information Security

๐Ÿข Company: csgcareers

  • Experience with various functions within the entire incident response life cycle including security system engineering, alert monitoring, triage, incident analysis (host and network forensics, malware analysis, etc.) and incident management
  • Experience working with information security technologies, such as IDS/IPS, malware prevention, database activity monitoring, secure password repository, multi-factor authentication, SIEM, SPAM prevention, web content filtering, IdM/IAM, encryption and encryption key management, DLP, change detection, and vulnerability scanners
  • Knowledge of TCP/IP: must be able to demonstrate technical understanding of all layers of the TCP/IP stack, including familiarity with major application-layer protocols such as HTTP, HTTPS, FTP, SFTP, FTPS, SMTP, DNS, etc.; must be able to read and understand a packet trace; must be able to read and interpret network access control lists
  • A clear understanding of a variety of network and application attacks: examples include DoS/DDoS, buffer overflows, SQL injection, reconnaissance scanning, and evasive methods attackers use to avoid detection; must be able to demonstrate a minimum level of familiarity with well-known vulnerabilities and exploits
  • Working knowledge with IT security, compliance, and regulatory requirements, such as Payment Card Industry (PCI) Data Security Standard (DSS), Sarbanes-Oxley (SOX), Health Insurance Portability and Accountability Act (HIPAA), state and Federal privacy laws
  • Monitor, respond, and work to resolution alerts from security tools
  • Participate in the organization's incident response plan and perform incident reporting
  • Collaborate with team members and assist in developing and implementing SOC IR strategies, along with refining and testing incident response playbooks and procedures
  • Perform security engineering tasks as required to include alert tuning, system maintenance, determining and capturing key information feeds, etc.
  • Participate and fulfill requests from audit, compliance, and regulatory functions, including and not limited to Payment Card Industry (PCI) Data Security Standard (DSS), Sarbanes-Oxley (SOX), emerging state and Federal privacy laws, and general security auditing

PythonSQLCybersecurityLDAPMicrosoft ExchangeAlgorithmsData StructuresREST APICommunication SkillsAnalytical SkillsLinuxWritten communicationComplianceMS OfficeJSONScripting

Posted about 23 hours ago
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๐Ÿ“ United States

๐Ÿ’ธ 119400.0 - 267500.0 USD per year

๐Ÿ” Software Development

  • 5+ years of professional experience in software engineering, data engineering, machine learning, or related field
  • Experience in Python
  • Hands-on AWS experience
  • Experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR)
  • Experience with data structures, data modeling and software architecture
  • Experience with complex data sets, ETL pipelines, SQL, and general data engineering
  • Expertise with cloud architecture and technologies, in particular Amazon Web Services
  • Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, Terraform is also highly desirable
  • Expertise with agile development and test driven development
  • Develop robust advanced analytics and machine learning solutions that have a direct impact on the business
  • Design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact
  • Contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development
  • Provide technical vision and guidance to your teammates
  • Own projects end-to-end - from conception to operationalization

AWSDockerLeadershipPostgreSQLPythonSQLAgileETLKubernetesMachine LearningAlgorithmsAPI testingData engineeringData StructuresRedisSparkCommunication SkillsCI/CDTerraformData modelingSoftware Engineering

Posted 1 day ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 150000.0 - 170000.0 USD per year

๐Ÿ” Software Development

๐Ÿข Company: Ibotta

  • 10-15+ years in Decision Science roles of increasing responsibility & impact
  • Bachelorโ€™s degree in computer science/mathematics/statistics/data science required
  • Extensive analytics domain experience in the CPG space
  • Robust familiarity with industry-standard attribution and measurement models such as MMM and incrementality
  • Expert-level decision science knowledge, skills, capabilities, etc.
  • Significant experience creating a compelling client-facing story using data and insights
  • Expert visual and verbal communicator; an experienced presenter to senior executive levels
  • Independent, self-starter who can successfully manage one's own time and multitask
  • Client-facing experience a requirement; consulting background a strong plus
  • Experience using modern data analysis, pipeline tools and BI Tools ( (e.g., SQL, Python, Git/GitHub, Looker, Tableau etc.)
  • Expert knowledge of A/B testing best practices
  • Willingness to travel up to 25% of the time for client meetings and engagements
  • Provide proactive, high-impact analytics insights to help Ibotta's most important clients
  • Work in partnership with high-value client account teams to optimize client success on Ibotta platforms
  • Own Ibottaโ€™s promotions and media measurement solutions by conceptualizing, designing, and providing external clients industry-leading and market-defensible methodologies that power Ibottaโ€™s measurement solutions; partner cross-functionally to build scalable solutions
  • Regularly communicate with external clients to understand their business and program goals (especially around incremental revenue), present analytical results, insights and recommendations, and help them determine how Ibotta can be best leveraged to achieve their goals
  • Research industry trends and standards to stay abreast of new developments; position Ibotta as a thought leader by combining your expertise with our incredible data asset to strategically deliver favorable marketing outcomes for advertisers
  • Drive internal projects forward through planning, executing, and completing projects within an agreed upon timeline
  • Uncover inefficiencies and bring forward analytics solutions to scale the business and better leverage our high-potential data asset
  • Mentor junior colleagues of the Client Analytics team

PythonSQLData AnalysisGitMachine LearningTableauData scienceREST APICommunication SkillsAnalytical SkillsMentoringPresentation skillsClient relationship managementData visualizationData modelingData analyticsA/B testing

Posted 1 day ago
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๐Ÿ“ Americas

๐Ÿงญ Full-Time

๐Ÿ’ธ 180000.0 - 230000.0 USD per year

๐Ÿ” Software Development

๐Ÿข Company: Monte Carlo

  • 5+ years of experience delivering production-grade backend code, performing code reviews, and working on cloud, data, and web applications
  • You have strong Python skills (we use Django) or mastery of similar backend technologies in a large, complex codebase
  • You test your work (with automation) and follow traffic as customers use your features
  • You tech-lead critical projects or initiatives within your team and organization
  • Serverless applications, especially with AWS and Lambda
  • Data-driven applications, with tools such as PySpark
  • The needs of data engineers and analytics teams, such as with Snowflake, Databricks, Airflow, dbt, or many similar tools (our customers)
  • Observability - a love of software APMs, debugging tools, and uptime metrics
  • You collaborate with your team in a remote-first environment
  • You get your urgency from user feedback and product vision
  • You're pragmatic and biased towards action; you're able to see the bigger picture and reason about prioritization and scope
  • Building production-grade backend services and APIs to delight customers
  • Owning major projects from inception to deployment, shipping at a rapid pace
  • Architecting simple yet flexible solutions, and then scaling them as we grow
  • Testing, releasing, and operating your code in production
  • Navigating with some ambiguity while solving problems and pursuing solutions to difficult challenges

AWSBackend DevelopmentPythonSQLCloud ComputingData AnalysisDjangoAPI testingData engineeringREST APIServerlessCI/CDSoftware EngineeringDebugging

Posted 1 day ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 142800.0 - 178500.0 USD per year

๐Ÿ” Software Development

๐Ÿข Company: Planet๐Ÿ‘ฅ 501-1000๐Ÿ’ฐ $200,000,000 Post-IPO Equity over 3 years ago๐Ÿซ‚ Last layoff 9 months agoGeospatialRemote SensingBig DataAerospaceAnalyticsSoftware

  • 6+ years of relevant experience of which 5+ years of experience is in machine learning
  • Deep familiarity with time series methods, computer vision, and embeddings; able to implement, train, and optimize neural networks
  • Experience wrangling large datasets, ideally with geospatial libraries, combined with frameworks like PyTorch/TF for model development and training
  • Comfortable writing clean, modular Python code and applying software development best practices (Git, testing, CI/CD)
  • Youโ€™ve deployed models (via Docker, Kubernetes, or similar) and understand best practices for monitoring and maintaining them at scale
  • AWS or GCP experience
  • Excellent communication skills, capable of explaining technical topics to diverse audiences
  • Masterโ€™s degree in a STEM or analytics-focused field or equivalent work experience
  • End-to-end model development & maintenance: Develop new algorithms or methods, implement and test them rigorously, and integrate them into production pipelines.ย  Contribute to their ongoing maintenance and iteratively improve them.
  • Advancing geospatial analytics: Innovate on computer vision, time series, and other ML techniques to uncover new insights from satellite and aerial data
  • Cross-functional collaboration: Partner with product managers, data scientists, and engineers to define requirements, validate model outputs, and refine algorithms in iterative cycles
  • Collaborating with adjacent ML and software engineering teamsย  to ensure seamless integration of ML pre-processing and inference steps, defining best practices for efficient deployment and maintenance of geospatial models

AWSDockerPythonSoftware DevelopmentData AnalysisGCPGitImage ProcessingKubernetesMachine LearningNumpyPyTorchAlgorithmsData StructuresREST APIPandasTensorflowCommunication SkillsAnalytical SkillsCI/CDProblem SolvingExcellent communication skillsJSONCross-functional collaborationData modelingSoftware Engineering

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๐Ÿ“ Poland

๐Ÿงญ Full-Time

๐Ÿ’ธ 24000.0 - 28000.0 PLN per month

๐Ÿ” Software Development

๐Ÿข Company: Appfire Technologies, LLC.

  • 5+ years of experience working in cyber security engineering and/or architecture at a software company.
  • Experience performing security work in a multi-cloud environment is preferred.
  • Experience with at least one vulnerability scanning tool (e.g. Qualys, Rapid7, Wiz, etc.).
  • Experience as a pen tester for web-based applications and familiarity with the OWASP top ten vulnerability categories.
  • Working knowledge of at least one scripting language, Python preferred, and Linux concepts/command-line familiarity.
  • Experience with basic SQL and manipulating large data files preferred.
  • Understanding of key cryptography concepts such as symmetric/asymmetric keys, algorithms, and protocols (PKI, GPG, RSA, x509 certificates, and TLS/SSL).
  • Knowledge of common information security frameworks such as CIS, NIST, ISO 27001 & SOC 2 a plus.
  • Ability to work effectively within a fast-paced, changing environment with high growth.
  • A self-starter with a demonstrated ability to take initiative, who can proactively identify issues/opportunities and recommend actions.
  • Strategic analysis, creative problem-solving, and business judgment are required.
  • Excellent interpersonal and communication skills, including writing skills.
  • Collaborate with Engineering, IT Operations, and DevOps to design, engineer, and support security within our cloud environments, products, and vendor solutions, while promoting DevSecOps.
  • Perform security assessments and penetration testing (manage and perform) on web applications, mobile clients, etc.
  • Enforce continuous security compliance for our Cloud apps and cloud infrastructure.
  • Review and approve controls needed to protect data and technology assets in compliance with policies, regulations, and legal requirements.
  • Support incident response and security operations.
  • Ensure compliance with and support our vulnerability management program, including SCA, SAST, DAST, penetration testing, and bug bounty programs.
  • Provide expertise in the integration efforts of Appfire acquisitions and alignment to information security standards and policies.
  • Implement and maintain information security systems and services to support the Information Security team.

AWSPythonSQLCloud ComputingCybersecurityREST APICI/CDLinuxDevOpsComplianceJSONRisk ManagementScriptingSoftware Engineering

Posted 1 day ago
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