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AWS Job Salaries

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

AWS

Median high-range salary for jobs requiring AWS:

$200,000

This analysis is based on salary ranges collected from 681 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $150,052.08 - $200,000

  • 25% of job descriptions advertised a maximum salary above $238,378.33.
  • 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 Communication Skills, Microservices 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. Communication Skills

    25% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $157,500 - $215,000

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $336,200.

  2. Microservices

    25% jobs mention Microservices as a required skill. The Median Salary Range for these jobs is $160,100 - $210,000

    • 25% of job descriptions advertised a maximum salary above $243,050.
    • 5% of job descriptions advertised a maximum salary above $288,690.

  3. Kubernetes

    41% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $160,000 - $205,000

    • 25% of job descriptions advertised a maximum salary above $240,000.
    • 5% of job descriptions advertised a maximum salary above $306,770.

  4. Cloud Computing

    33% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $160,000 - $205,000

    • 25% of job descriptions advertised a maximum salary above $245,000.
    • 5% of job descriptions advertised a maximum salary above $326,885.

  5. Python

    49% jobs mention Python as a required skill. The Median Salary Range for these jobs is $151,250 - $200,000

    • 25% of job descriptions advertised a maximum salary above $235,450.
    • 5% of job descriptions advertised a maximum salary above $303,047.5.

  6. CI/CD

    43% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $154,053.33 - $200,000

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

  7. SQL

    40% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $152,500 - $200,000

    • 25% of job descriptions advertised a maximum salary above $236,725.
    • 5% of job descriptions advertised a maximum salary above $310,000.

  8. Docker

    30% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $160,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $241,044.75.
    • 5% of job descriptions advertised a maximum salary above $322,623.

  9. REST API

    25% jobs mention REST API 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 $233,500.
    • 5% of job descriptions advertised a maximum salary above $300,024.5.

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 Health tech, Software Development and Healthcare. 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. Health tech

    1% jobs are in Health tech industry. The Median Salary Range for these jobs is $200,000 - $263,000

    • 25% of job descriptions advertised a maximum salary above $276,000.
    • 5% of job descriptions advertised a maximum salary above $350,000.

  2. Software Development

    37% jobs are in Software Development industry. The Median Salary Range for these jobs is $160,000 - $210,000

    • 25% of job descriptions advertised a maximum salary above $247,125.
    • 5% of job descriptions advertised a maximum salary above $322,089.

  3. Healthcare

    3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $154,000 - $203,500

    • 25% of job descriptions advertised a maximum salary above $222,500.
    • 5% of job descriptions advertised a maximum salary above $262,295.

  4. Fintech

    5% jobs are in Fintech industry. The Median Salary Range for these jobs is $160,600 - $197,000

    • 25% of job descriptions advertised a maximum salary above $233,500.
    • 5% of job descriptions advertised a maximum salary above $294,800.

  5. Artificial Intelligence

    1% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $163,000 - $195,000

    • 25% of job descriptions advertised a maximum salary above $201,250.
    • 5% of job descriptions advertised a maximum salary above $205,000.

  6. Software as a Service (SaaS)

    1% jobs are in Software as a Service (SaaS) industry. The Median Salary Range for these jobs is $139,425 - $188,500

    • 25% of job descriptions advertised a maximum salary above $229,040.
    • 5% of job descriptions advertised a maximum salary above $260,000.

  7. Cybersecurity

    3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $140,000 - $185,000

    • 25% of job descriptions advertised a maximum salary above $210,000.
    • 5% of job descriptions advertised a maximum salary above $261,960.

  8. Healthcare Technology

    1% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $150,000 - $180,000

    • 25% of job descriptions advertised a maximum salary above $225,250.
    • 5% of job descriptions advertised a maximum salary above $245,000.

  9. E-Commerce

    1% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $160,000 - $175,000

    • 25% of job descriptions advertised a maximum salary above $196,250.
    • 5% of job descriptions advertised a maximum salary above $245,000.

  10. EdTech

    1% jobs are in EdTech industry. The Median Salary Range for these jobs is $137,500 - $157,500

    • 25% of job descriptions advertised a maximum salary above $179,996.
    • 5% of job descriptions advertised a maximum salary above $200,000.

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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🔥 Site Reliability Engineer
Posted 33 minutes ago

📍 United States of America

💸 63000.0 - 108675.0 USD per year

🏢 Company: vspvisioncareers

  • Bachelor’s Degree in Computer Science or related field and/or equivalent experience
  • 4+ years of related functional experience
  • Experience with both Windows and Linux, as well as containerization software products
  • Functional with continuous integration and continuous delivery
  • Experience with automation and orchestration using Chef, Puppet, Ansible and containers
  • Coding skills beyond simple scripts and knowledge of application architecture
  • Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++/C#, Ruby, and JavaScript
  • Understanding of distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (OpenShift, Kubernetes, Yarn)
  • Skilled in spotting problems and identifying performance bottlenecks, leading to problem and root cause analysis and risk mitigation
  • Capacity monitoring and performance planning experience with cloud solutions like AWS using applications such as Dynatrace, New Relic, App Dynamic
  • Use engineering design concepts to recommend design or test methods for attaining or improving operational reliability in support of business objectives.
  • Develop and implement high-reliability tools, systems, and services using engineering methodologies and tools.
  • Determine reliability requirements and deliver insights from massive scale data in real time.
  • Propose changes in design or formulation to improve system and/or process reliability.
  • Utilize best practices and work with cross-functional teams to provide solutions and a positive user experience.
  • Improve reliability, quality, and time-to-market for suite of software solutions, through effective hosting, monitoring, operations, and automation
  • Develop proprietary tools to improve system reliability and mitigate weaknesses in incident management or software delivery
  • Collaborate with team members to troubleshoot and fix issues utilizing knowledge of  problems to route support escalation issues to the appropriate teams
  • Add automation for improved collaborative response in real-time, updates documentation, runbook tools, and modules to prepare teams for incidents
  • Support optimizing the software development life cycle to boost service reliability, based on post-incident reviews
  • Support system cost modeling for all hosted systems
  • Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
  • Deliver primary operational support and engineering for distributed software applications
  • Implement guidelines and plans for automated systems delivery maintaining system and data security
  • Assist with impact analysis regarding enterprise-wide technology
  • Perform capacity monitoring with various monitoring tools (Splunk, Dynatrace, etc.) and make recommendations
  • Gather and analyze metrics from both operating systems and applications to assist in performance tuning, fault finding, and corrective action planning
  • Support system integration, software, and hardware at enterprise level for optimum performance
  • Partner with development teams to improve services through rigorous automated testing and release procedures
  • Contribute to system architecture planning, and policies and procedures surrounding enterprise-wide technology
  • Participate in system design consulting, platform management, and capacity planning
  • Stay abreast of new technologies; introduce applicable technology in alignment with business goals and for creative solutions

AWSDockerPostgreSQLPythonSQLBashCloud ComputingData AnalysisDynamoDBElasticSearchGitJavaKafkaKubernetesMySQLOracleRabbitmqSoftware ArchitectureZabbixAlgorithmsCassandraData StructuresPrometheusRedisSparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsLinuxDevOpsTerraformMicroservicesTeamworkTroubleshootingJSONCross-functional collaborationAnsibleScriptingDebugging

Posted 33 minutes ago
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🔥 Senior Site Reliability Engineer
Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 128350.0 - 192100.0 USD per year

🔍 Software Development

🏢 Company: ClickHouse👥 101-250💰 Series B over 2 years agoDatabaseArtificial Intelligence (AI)Big DataAnalyticsSoftware

  • At least 8 years of experience in Site Reliability Engineering or a related field.
  • Previous experience using ClickHouse in production.
  • Coding experience with Go and/or Python.
  • Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
  • Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
  • Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.
  • Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
  • Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
  • Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
  • Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
  • Continuously improve the reliability and performance of our ClickHouse services.
  • Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
  • Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.

AWSDockerPythonSQLCloud ComputingKubernetesCross-functional Team LeadershipClickhouseGoREST APICommunication SkillsCI/CDProblem SolvingLinuxDevOpsTerraformExcellent communication skillsTeamworkStrong communication skillsAnsibleDebugging

Posted about 3 hours ago
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🔥 Senior Software Developer, Data Technology
Posted about 4 hours ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

  • A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
  • Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
  • Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
  • Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
  • Experience working with message queues such as Kafka and Kinesis
  • Experience developing data pipelines and integrations for high volume, velocity and variety of data
  • Experience with data warehousing and data modeling best practices
  • Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
  • Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
  • Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
  • Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
  • Implement our technical roadmap as we scale our services and build new data products
  • Participate in code reviews, attend regular team meetings, and apply software development best practices
  • Take ownership of your work, and work autonomously when necessary
  • Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
  • Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
  • Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWSPostgreSQLPythonSoftware DevelopmentSQLAgileApache AirflowCloud ComputingData AnalysisData MiningETLJavaKafkaMySQLSoftware ArchitectureAlgorithmsAPI testingData engineeringData StructuresGoServerlessSparkCI/CDRESTful APIsMicroservicesScalaData visualizationData modelingData management

Posted about 4 hours ago
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🔥 Staff Software Engineer - Bidding Intelligence
Posted about 5 hours ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, WA

🧭 Full-Time

💸 165000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising PlatformsBig DataMobile AdvertisingApp MarketingAd RetargetingMobileAd Network

  • 8+ years of industry experience in Software Engineering and/or Infrastructure
  • B.S. or higher in Computer Science
  • Very strong coding ability
  • Deep understanding of computer architectures, data structures, and algorithms
  • Experience building low-latency, high-throughput, distributed backend services
  • Experience building data-intensive applications
  • Good team communication and collaboration skills
  • Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
  • Work with an experienced team of ML, Software, and Infrastructure Engineers
  • Design, engineer & implement reliable, scalable, and cost-efficient systems
  • Achieve core business objectives by enabling next generation ML models and technologies
  • Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWSBackend DevelopmentPythonSoftware DevelopmentData AnalysisMachine LearningPyTorchAlgorithmsData StructuresREST APIMicroservicesSoftware Engineering

Posted about 5 hours ago
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🔥 Senior Data Scientist (NLP)
Posted about 5 hours ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducationEdTechCommunitiesE-LearningAppsSocial NetworkPeer to PeerSoftware

  • Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
  • 5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
  • Experience with cloud platforms such as AWS and/or Google Cloud Platform.
  • Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
  • Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
  • Strong mathematical foundation and analytical skills.
  • Excellent research and experimentation skills, including design, execution, and analysis.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
  • Fluency in English.
  • Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
  • Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
  • Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
  • Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
  • Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
  • Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
  • Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
  • Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWSPythonCloud ComputingData AnalysisMachine LearningNumpyPyTorchAlgorithmsData scienceTensorflowCommunication SkillsAnalytical SkillsProblem-solving skillsResearchFluency in English

Posted about 5 hours ago
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🔥 ML Manager, Software Engineering (Decisions and Pricing Engineering EU)
Posted about 5 hours ago

📍 Spain

🧭 Full-Time

💸 101000.0 - 131000.0 EUR per year

🔍 Fintech

  • Extensive experience (8+ years) in machine learning engineering, with at least 2 years in a management role.
  • Expertise in developing machine learning models and systems at scale, from concept through to business impact.
  • Proficiency in machine learning techniques, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
  • Strong engineering skills in Python and SQL, with experience in large-scale distributed systems such as Spark or Ray.
  • Passion for working with cross-functional teams including Product, Design, Analytics and Business teams.
  • Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software.
  • Track record of hiring, mentoring, coaching, and developing diverse engineering talent.
  • Comfortability with ambiguity and self-awareness to understand and navigate the unknown
  • Demonstrated experience in building and scaling platforms and distributed systems that require high availability, resilience and meeting stringent SLO objectives is required.
  • Excellent written and verbal English communication skills.
  • Collaborate with Product managers, cross functional engineering teams, designers and analysts to define product roadmap and execute on plan to build practical technology capabilities needed to realize the vision.
  • Drive planning, resource allocations, trade-offs and prioritization conversations with business and technical stakeholders to define epics in Jira and manage the quality of deliverables all the way to production
  • Collaborate with product and platform teams to set strategic priorities and roadmaps for machine learning projects that enhance our credit assessment capabilities.
  • Participate in quarterly planning and work closely with peers and teams to remove impediments, articulate tradeoffs and garner resources
  • Grow globally minded teams by attracting and hiring diverse talent and build a strong leadership bench. Provide tailored coaching, feedback and mentoring for Engineers and inspire a team of full stack engineers
  • Hire, coach, and mentor employees to increase their impact through regular performance development and feedback conversations.
  • Foster a respectful and supportive environment for all team members that effectively leverages the diversity of the team.
  • There would be an on-call rotation for this role as a requirement.

AWSLeadershipPythonSQLData AnalysisFull Stack DevelopmentMachine LearningAlgorithmsData StructuresSparkData modeling

Posted about 5 hours ago
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🔥 Senior Security Engineer
Posted about 5 hours ago

📍 Canada

🧭 Full-Time

💸 150000.0 - 172000.0 USD per year

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud ComputingSaaSSupply Chain ManagementEnterprise SoftwareFinTechSoftwareProcurement

  • 4+ years of experience working as a SecOps Engineer
  • Experience mitigating and maintaining compliance controls (e.g. , ISO27001, SOC2, PCI DSS)
  • Experience with containerized applications running in AWS
  • A strong understanding of cloud infrastructure networking and security policies
  • Familiarity with infrastructure as code tools such as Terraform
  • A history of effective collaboration with development teams to uphold security best practices (OWASP, etc.)
  • Adept at working with a high degree of autonomy and initiative.
  • Strong problem-solving, technical design, and analytical skills.
  • Able to balance multiple competing priorities while solving challenging problems.
  • Excellent teamwork and communication with other software engineers, your leadership, and others with less technical backgrounds.
  • Act with compassion and empathy for others. Believe that your team’s success is your success.
  • Work with your team and across the Product Engineering teams to design and deploy processes and tools that help our teams raise the security standard at Procurify and deliver a secure product for our customers
  • Follow DevSecOps principles to shift security left
  • Work with engineering teams to ensure that security is a major driver of our engineering designs
  • Complete STRIDE assessments for each significant security engineering feature
  • Develop best-in-class security policies for our application development and cloud infrastructure
  • Maintain a high degree of compliance across the organization
  • Implement and monitor a SIEM tool to detect and remediate security events
  • Detect, triage and respond to security incidents within SLOs
  • Collaborate with product development teams to mitigate and prevent security vulnerabilities
  • Detect, triage, and mitigate vulnerabilities in collaboration with the engineering teams

AWSPythonCloud ComputingCybersecurityKubernetesAnalytical SkillsCI/CDProblem SolvingRESTful APIsDevOpsTerraformMicroservicesComplianceExcellent communication skillsTeamwork

Posted about 5 hours ago
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🔥 Principal Software Engineer - Ops Cloud Platform
Posted about 9 hours ago

📍 Canada

🧭 Full-Time

💸 177000.0 - 263000.0 CAD per year

🔍 Software Development

🏢 Company: PagerDuty👥 1001-5000💰 $350,000,000 Post-IPO Debt over 1 year ago🫂 Last layoff about 2 years agoIT ManagementCloud ComputingSaaSAnalyticsInformation TechnologySoftware

  • At least 12 years of demonstrated hands-on experience in software engineering, architecture, and design at leading SaaS companies.
  • Proven record of delivering enterprise-scale platforms and driving significant technical change across multiple teams or domains.
  • Deep expertise in backend architectures, including microservices, APIs, and cloud-native technologies.
  • Proficiency in modern programming languages (e.g., Java, Go, Python, Elixir, Ruby, or similar), strong foundations in distributed systems, security practices, and cost-effective scaling strategies.
  • Proven ability to define and communicate a long-term technical roadmap that impacts business strategy.
  • Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse engineering teams.
  • Define and articulate the long-range technical roadmaps and architecture for our core SaaS platform.
  • Develop, prototype, and implement complex, scalable solutions in collaboration with cross-team leaders across our Authentication and Authorization, Monetization and Entitlements, the Developer Ecosystem and Public APIs, and Account and Admin Experience teams.
  • Evaluate new technologies and design innovative solutions that drive platform evolution over a 3–5 year horizon.
  • Act as a technical leader and consultant across multiple teams, breaking down ambiguous problems and translating them into effective engineering solutions.
  • Foster a culture of collaboration by mentoring engineers, facilitating technical discussions, and ensuring that design decisions are clearly articulated across the teams.
  • Oversee and contribute to the technical design and evolving architecture of critical systems.
  • Ensure that designs meet rigorous standards in coding, reliability, scalability, security, and cost efficiency.
  • Provide guidance on technical decisions that align with short-term project needs and long-term strategic goals.
  • Serve as a technical resource for high-impact projects and complex problem-solving.
  • Coach and mentor Senior and Staff engineers, establishing development standards and fostering a learning environment.
  • Work closely with Product Managers, Engineering Managers, and other stakeholders to prioritize engineering initiatives that align with overall business objectives, including customer experience, cost optimization, and operational excellence.
  • Ensure that each team’s roadmap is harmonized with the overarching technical vision.
  • Lead efforts to evaluate emerging technologies and create prototypes that address complex challenges within our platform.
  • Use data-driven approaches to validate architectural ideas and measure their impact on system performance and customer success.

AWSBackend DevelopmentLeadershipPythonSoftware DevelopmentSQLCloud ComputingDesign PatternsJavaKubernetesRubySoftware ArchitectureCross-functional Team LeadershipData StructuresGoCommunication SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsMentoringDevOpsTerraformMicroservicesJSONSaaS

Posted about 9 hours ago
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🔥 Engineering Manager (Claims Platform)
Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 198050.0 - 233000.0 USD per year

🔍 Health Tech

  • 3+ years of experience as an Engineering Manager
  • 3-5+ years of experience as a Software Engineer
  • Track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
  • Strong technical foundation
  • Strong product mindset
  • Track record of working well across teams and functions
  • Prior experience with Python and React (Nice to have)
  • Experience working with AWS infrastructure (Nice to have)
  • Experience in health tech, building user-facing products (Nice to have)
  • BS, MS in Computer Science or related field
  • Lead and manage a team (or teams) of 8+ engineers
  • Ensure there is process and product alignment across your team
  • Develop and grow your team through weekly 1-1s, mentorship, and feedback
  • Work with and help develop aspiring engineering leaders within the engineering team
  • Contribute to the broader company strategy and product roadmap
  • Help build out our engineering team as the headcount grows from 80 to 120+ through the remainder of the year

AWSBackend DevelopmentDockerLeadershipPostgreSQLProject ManagementPythonCloud ComputingData AnalysisKafkaPeople ManagementProduct ManagementReact.jsTypeScriptCross-functional Team LeadershipAlgorithmsData StructuresFastAPIREST APIRedisStrategic ManagementReactSparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesMentoringRelationship buildingTeam managementSoftware EngineeringDebugging

Posted about 20 hours ago
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🔥 Digital Production Coordinator
Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 41600.0 - 65000.0 USD per year

🏢 Company: Movement Strategy

  • 0-2 years of experience in a digital production coordination, media asset management, project coordination, or similar role
  • Basic understanding of Digital Asset Management (DAM) systems, preferably MediaValet or similar.
  • Serve as the day-to-day administrator for the MediaValet DAM platform, ensuring assets are uploaded, tagged, and organized properly.
  • Enforce metadata standards, taxonomy structures, and governance policies as set by leadership.
  • Train users on how to navigate and utilize the DAM effectively.
  • Conduct regular audits of the DAM to maintain organization and identify any gaps.
  • Assist with tracking the status of creative projects and deliverables to ensure deadlines are met.
  • Communicate updates and changes to stakeholders and team members as needed.
  • Provide general support to the creative/production teams, helping resolve minor issues as they arise.
  • Assist in coordinating digital production workflows to ensure tasks are completed efficiently and on schedule.
  • Collaborate with the team leads to track and document digital production processes, identifying areas for improvement.
  • Maintain and update process documentation and standard operating procedures (SOPs).
  • Monitor task progress and follow up with team members to ensure timely completion.
  • Support the Production team in vendor management, such as billing and onboarding/offboarding.
  • Support the onboarding of team members to digital production tools and systems, providing guidance and troubleshooting assistance.
  • Act as a liaison between the creative/production team and IT to ensure tools are functioning correctly and integrated into workflows.
  • Help develop and maintain training materials and quick-reference guides for digital production tools.
  • Track user access and permissions for tools and platforms, ensuring proper management.
  • Assists in ingesting footage and organizing.

AWSUI DesignUser Experience DesignProject CoordinationJiraCommunication SkillsCI/CDAgile methodologiesRESTful APIsAttention to detailOrganizational skillsTime ManagementDocumentationMicroservicesMicrosoft Office SuiteAdaptabilityProblem-solving skillsTeamworkTrainingTroubleshootingJSONComputer skillsConfluence

Posted about 20 hours ago
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