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 842 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 $151,800 - $200,000

25% of job descriptions advertised a maximum salary above $237,846.67.
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.

Communication Skills
25% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $160,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $339,430.
Microservices
26% jobs mention Microservices as a required skill. The Median Salary Range for these jobs is $160,000 - $206,750
- 25% of job descriptions advertised a maximum salary above $241,500.
- 5% of job descriptions advertised a maximum salary above $308,200.
Kubernetes
40% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $160,000 - $205,100
- 25% of job descriptions advertised a maximum salary above $241,404.06.
- 5% of job descriptions advertised a maximum salary above $310,000.
Cloud Computing
35% 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 $240,000.
- 5% of job descriptions advertised a maximum salary above $323,691.
Python
49% jobs mention Python as a required skill. The Median Salary Range for these jobs is $153,500 - $200,000
- 25% of job descriptions advertised a maximum salary above $236,450.
- 5% of job descriptions advertised a maximum salary above $302,877.
CI/CD
43% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $154,328 - $200,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $310,000.
SQL
41% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $150,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,675.
- 5% of job descriptions advertised a maximum salary above $310,381.25.
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 $240,000.
- 5% of job descriptions advertised a maximum salary above $322,000.
REST API
25% jobs mention REST API as a required skill. The Median Salary Range for these jobs is $158,400 - $200,000
- 25% of job descriptions advertised a maximum salary above $231,576.5.
- 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 Insurance, Healthcare Technology and Fintech. 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.

Insurance
1% jobs are in Insurance industry. The Median Salary Range for these jobs is $140,000 - $235,000
- 25% of job descriptions advertised a maximum salary above $280,000.
- 5% of job descriptions advertised a maximum salary above $350,000.
Healthcare Technology
1% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $160,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $254,200.
- 5% of job descriptions advertised a maximum salary above $400,000.
Fintech
5% jobs are in Fintech industry. The Median Salary Range for these jobs is $168,300 - $213,000
- 25% of job descriptions advertised a maximum salary above $241,050.
- 5% of job descriptions advertised a maximum salary above $340,775.
Healthcare
3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $152,800 - $205,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $261,101.5.
Software Development
36% jobs are in Software Development industry. The Median Salary Range for these jobs is $158,900 - $204,233.67
- 25% of job descriptions advertised a maximum salary above $242,500.
- 5% of job descriptions advertised a maximum salary above $310,000.
Software as a Service (SaaS)
1% jobs are in Software as a Service (SaaS) industry. The Median Salary Range for these jobs is $140,000 - $192,000
- 25% of job descriptions advertised a maximum salary above $223,030.
- 5% of job descriptions advertised a maximum salary above $260,000.
Financial Services
1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $113,250 - $190,232.16
- 25% of job descriptions advertised a maximum salary above $215,000.
- 5% of job descriptions advertised a maximum salary above $275,000.
Cybersecurity
3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $142,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $260,840.
E-Commerce
1% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $160,000 - $177,500
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $285,000.
EdTech
1% jobs are in EdTech industry. The Median Salary Range for these jobs is $145,000 - $160,000
- 25% of job descriptions advertised a maximum salary above $194,999.
- 5% of job descriptions advertised a maximum salary above $220,000.

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.

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🔥 Senior Machine Learning Engineer

Posted 21 minutes ago

📍 United States

🧭 Full-Time

💸 133000.0 - 151000.0 USD per year

🔍 Software Development

🏢 Company: Infinite Reality👥 101-250💰 $350,000,000 8 months agoMedia and Entertainment Web3 Metaverse

🔧 Requirements

MS or PhD in Computer Science, Machine Learning, or a related field.
6+ years in machine learning, focusing on systems for procedural content generation and working with LLMs to create scalable virtual environments.
Proficient in 3D graphics programming and procedural content generation, handling assets like models, textures, shaders, and particle systems.
Experience in both frontend (React, Three.js, WebGL) and backend (Node.js, MySQL) development, enabling seamless integration of AI-driven procedural generation into interactive 3D worlds.
Ability to optimize complex systems for performance and scalability, ensuring AI-powered world-building systems perform seamlessly with large datasets.
Skilled in scripting languages such as Python, Bash, or JavaScript, enabling automation of key tasks and workflows in the world-building process.
Experience working in cross-disciplinary teams, mentoring, and leading by example to promote best practices in world-building, procedural generation, and AI integration.
Strong analytical skills to tackle complex technical challenges in 3D graphics, procedural content generation, or system performance.
Commitment to continuous learning and integrating the latest developments in AI, machine learning, 3D graphics, and procedural generation into the team's work.

💡 Responsibilities

Develop systems utilizing LLMs to autonomously create 3D environments, handling assets like models, shaders, and particle systems.
Collaborate with technical artists and engineers to build pipelines ensuring seamless integration of diverse 3D assets into the procedural generation process.
Ensure world-building systems are scalable and performant, capable of handling large datasets and multiple interactions while maintaining high-quality environments.
Work with engineers, data scientists, technical artists, and designers to implement innovative solutions for dynamic virtual worlds, ensuring technical integration across teams.
Lead the adoption of emerging technologies in generative AI and procedural content creation, integrating the latest advancements into our platform.
Address complex technical challenges related to performance, AI systems, asset rendering, and procedural generation pipelines to ensure efficient world-building processes.

AWS Backend Development Node.js Python Cloud Computing Frontend Development GCP Machine Learning MySQL React.js Unity3D Algorithms Azure Blender Data science Unreal engine Problem Solving Scripting

Posted 21 minutes ago

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🔥 Principal Software Engineer, Backend - Platform

Posted about 3 hours ago

📍 Canada

💸 308000.0 CAD per year

🔍 Fintech

🏢 Company: Coinbase Careers Page👥 1000-5000

🔧 Requirements

Minimum of 10+ years of experience
Proven background in payment systems, including experience with scaling data stores and building ledgering systems
Experience in the fintech sector, with crypto experience being a plus
Demonstrated experience in working with large-scale systems and solving complex engineering problems
Ability to lead through influence and drive change across multiple teams and domains
Excellent collaboration skills, with the ability to work effectively with cross-functional leaders and mentor other team members.

💡 Responsibilities

Influence and oversee engineering efforts across various domains such as identity, payments, ledgering, risk, and AI
Collaborate with other product leaders to establish and execute on vision & architecture strategies
Help drive the unified vision for product platform services and API surface
Lead the development and scaling of data stores and ledger systems within payment frameworks
Implement best practices for building and maintaining large-scale systems

AWS Backend Development Leadership Software Development SQL Blockchain Java Software Architecture Cross-functional Team Leadership API testing Collaboration RESTful APIs Mentoring Microservices Data modeling

Posted about 3 hours ago

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🔥 AI Strategist - Digital Velocity

Posted about 5 hours ago

📍 United States

💸 148000.0 - 205600.0 USD per year

🔍 Information Technology

🔧 Requirements

Bachelor's degree and 7+ years of experience in deployment of private/public cloud solutions. Or, 11+ years of experience in deployment of private/public cloud solutions
Previous direct customer consulting experience or equivalent understanding of role responsibilities
Demonstrated high level understanding of M365 Copilot, Azure AI, Google AI platforms, AWS AI platforms, WatonsX, Github Copilot
Demonstrated high level understanding of the AI open source trends and emerging development paradigms including but not limited to Huggingface, OpenAI, Anthropic, Bard, Bing Chat, Meta, NVIDIA, Microsoft and IBM’s contribution to open source
Demonstrated knowledge of public cloud platforms, aware of multi-platform solutions and capabilities
High level understanding of AI application development, Large Language Modes (LLMs), Small Language Models, Data Governance, System Security
Understanding of prompt engineering best practices
High level understanding of AI offerings provide by platform providers such as Salesforce, ServiceNow, Adobe and other platforms is beneficial
Comprehensive understanding of agile development paradigms
Demonstrated ability to speak to business value of AI solutions
Excellent written and verbal communication skills, must be able to lead client facing conversations to drive success in consulting engagements
Demonstrate solid interpersonal skills, able to mentor and guide internal project teams and personnel technical development teams
Ability to understand, remember, and apply oral and/or written instructions or other information.
Ability to organize thoughts and ideas into understandable terminology.
Ability to multitask, organize and prioritize.
Ability to apply common sense while engaging with customers and providing solutions.
Ability to understand and follow complex instructions and guidelines.
Previous consulting experience a plus

💡 Responsibilities

Accurately design and scope AI professional services engagements.
Maintain deep expertise in their role; Is the "Go To" person for multi-disciplinary and multi-practice AI opportunities.
Communicates and trains the team on changes in technologies, procedures, solution implementations and approaches based on customer engagements.
Promotes a culture of knowledge sharing and collaboration by organizing knowledge bases, contributing regularly, and encouraging team members to contribute.
Coaches and mentors team members to improve their technical, consulting, and sales skills.
Acts as a resource to FSAs for advice and recommendations on technical design issues and product choices.
Serves in the customer escalation path for technical problem resolution.
Assist managers with AI aligned new hires, leads shadow assignments; proactively provides assistance and guidance to new hires to accelerate productivity.
Follows up on implemented solutions and identifies new opportunities that complement the work that was completed.
Advises team members and sales prior to customer calls and/or sales strategy sessions.
Articulates to customers the DV Practice (Digital Velocity) value proposition to customers, account managers, and partners and uses it to generate additional revenue opportunities to CDW.
Initiates new event ideas; collaborates with Partners and Sales to design events that can be replicated within the practice; secures funding to support CDW customer events.
Delivers presentations and conducts sales conversations with confidence and credibility to C-level clients, both in small meeting and large group formats.
Develops presentation content for the team.
Develops assessments, improvements, and demos for presales to use as sales tools, identifies new ideas for cross-sell opportunities, teaches presales and Sales on how to use these tools.
Collaborates with Partners, Inside Solution Architects (ISA), and Account Executives (AE) to drive mapped opportunities; fine tunes strategies and approaches to achieve greater sales results.
Operates in a regular cadence with multiple partners to educate, plan, and execute on joint strategies in collaboration with multiple stakeholders (ISA, AE, Sales Manager, Field Sales); understands partner alignment in geography and leads customer opportunity mapping exercises; coordinates on-site partner visits.
Shares best practices and effective territory planning approaches with peers to leverage successful approaches across the team.
Shares best practices and tactics for enhancing profitability and closing deals.
Acts as subject matter expert for marketing activities (e.g., marketing blog, content, references, videos, etc.); produces marketing-type documents and materials (e.g., data sheet, presentation, demo video) to use throughout the Practice.
Manages competing priorities and sets expectations with sales and other stakeholders through proactive communication, planning, and potential for return on investment.
Leads the development of Statements of Work, RFPs, RFIs, and proposal content for cross-technology solutions with high levels of accuracy and quality.
Maintains pre-sales pipeline data, develops plans, and takes actions to move opportunities to closure.
Reviews and monitors efforts and cadence to ensure compliance to scope / budget and communication of progress.

AWS Project Management Python SQL Agile Artificial Intelligence Cloud Computing Data Analysis GCP Kubernetes Machine Learning Salesforce API testing Azure Data engineering Prometheus REST API Communication Skills CI/CD Mentoring DevOps Terraform Presentation skills Microservices JSON Data visualization Strategic thinking Data modeling Data management

Posted about 5 hours ago

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🔥 Staff Software Engineer, Backend (Consumer Payments)

Posted about 6 hours ago

📍 United Kingdom

🧭 Full-Time

💸 140000.0 - 180000.0 GBP per year

🔍 Financial Technology

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff about 2 years agoLending Financial Services Payments FinTech

🔧 Requirements

You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
Knowledge of Payment systems and experience working in the financial technology industry
You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

💡 Responsibilities

You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.

AWS Backend Development Python Software Development SQL Kotlin Kubernetes MySQL Spark RESTful APIs Microservices

Posted about 6 hours ago

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🔥 Sr. Machine Learning Researcher

Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 175000.0 - 230000.0 USD per year

🔍 Healthcare

🏢 Company: AKASA

🔧 Requirements

Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation.
Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.
Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience.
Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments.
A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code.

💡 Responsibilities

Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding.
Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance.
Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results.
Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI.
Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.

AWS Python Cloud Computing GCP Kubeflow Kubernetes Machine Learning Numpy PyTorch Algorithms Data science Data Structures REST API Tensorflow

Posted about 6 hours ago

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🔥 Early Career Product Analyst, Supply Chain & Logistics

Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 84800.0 - 106000.0 USD per year

🔍 Supply Chain & Logistics

🔧 Requirements

BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.
Experience in data engineering or a technical role with a heavy focus on SQL for data analysis, ETL design, and providing actionable insights, particularly in operational and supply chain contexts.
Expertise in SQL-based data manipulation, with extensive experience in scripting, extracting large datasets, and designing complex ETL workflows.
Demonstrated ability to closely collaborate with business, product, engineering, research, and design teams to influence and inform decision-making throughout the product lifecycle.
Proficiency in creating and managing dashboards using Looker, Tableau, or similar BI tools.
Deep passion for addressing real user problems through data-driven solutions.

💡 Responsibilities

Perform in-depth analyses using a variety of analytical and statistical measurement techniques to drive key product and business decisions
Partner with our Product and Engineering teams to automate operational processes
Optimize driver planning by building operation models
Provide insights on driver hiring strategy, performance, and retention
Perform growth and expansion analyses through demand forecasting and inventory planning
Identify opportunities and quantify impact of product launches through experimentation and measurement
Architect and build production data models that elevate data-driven decisioning
Provide clean, transformed data ready for analysis
Maintain data documentation and definitions
Define and apply best practices for data modeling and DWH architecture design
Act as a critical thought partner and collaborate closely with Product, Research, Engineering, Growth, and Operations
Recommend solutions that drive meaningful impact for our patients and partners
Measure impact of the initiatives launched using various analytical and statistical techniques to drive further improvements
Influence product strategy and drive roadmaps through insights and recommendations
Contribute to defining our team and company data culture through peer collaboration, coaching, and input into the team processes we adopt as we grow the Analytics team together

AWS SQL Business Intelligence Data Analysis ETL Tableau Product Analytics Algorithms Data engineering Data Structures Communication Skills Analytical Skills Collaboration Problem Solving Data visualization Data modeling

Posted about 6 hours ago

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🔥 Chief Technology Officer

Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 280000.0 - 400000.0 USD per year

🔍 Healthcare Technology

🔧 Requirements

15+ years of progressive leadership experience across product, engineering, and data science functions, with at least seven years in executive roles at a high-growth startup or a large, complex technology organization.
Demonstrated ability to build and scale high-performing, cross-functional teams of 50+ across engineering and data science, including experience managing remote or distributed teams.
Proven track record of scaling customer-facing digital products or platforms from early stages to significant user base, with quantifiable impact on key business metrics (e.g., revenue, market share, customer acquisition cost, retention).
Deep understanding of modern software development methodologies, data analytics, and AI/ML frameworks and their application in a business context.
Hands-on experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), modern front-end frameworks (React and React Native), and API-first design principles.
Demonstrated ability to drive product and technology innovation that has resulted in significant improvements in business outcomes (e.g., increased customer satisfaction, market share, revenue, or operational efficiency).
Exceptional communication and presentation skills, with the ability to articulate complex technical concepts clearly and 1 persuasively to both technical and non-technical 2 audiences, including board members and investors.
Proven experience leading Agile teams and driving cross-functional collaboration to deliver on complex product and technology roadmaps.
Experience with OKRs or other performance management frameworks is a plus.

💡 Responsibilities

Define and champion Alto's technology vision, directly shaping the future of healthcare.
Ensure the scalability, reliability, and security of Alto's technology infrastructure, enabling seamless operations and future expansion.
Partner with executive leadership to define company strategy and drive key performance metrics.
Own the entire tech development lifecycle, delivering exceptional products that exceed customer expectations.
Lead and inspire a world-class technology organization.
Establish priorities and execute product roadmaps that fuel exponential growth and transform the patient experience.
Champion user-centric design, solving critical problems for patients and healthcare professionals.
Establish and evangelize best practices across the technology organization, driving continuous improvement and innovation.
Evolve Alto's platform architecture to anticipate market needs and maintain a competitive edge.
Identify and integrate cutting-edge technologies to enhance Alto's offerings.
Cultivate a high-performing, inclusive engineering culture that empowers teams to innovate and thrive.
Collaborate cross-functionally to align product, science, and technology initiatives with overall business objectives.
Develop and mentor high-potential leaders, product managers, engineers, and technical staff, building the next generation of technology leaders.
Drive seamless communication and collaboration across the organization to ensure flawless execution of strategic priorities.

AWS Backend Development Docker Leadership SQL Agile Artificial Intelligence Cloud Computing Data Analysis Frontend Development Javascript Kubernetes Machine Learning People Management Product Management React Native Software Architecture Cross-functional Team Leadership API testing Data science REST API Communication Skills Problem Solving Mentoring Strategic thinking Software Engineering Data analytics Data management SaaS

Posted about 6 hours ago

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🔥 Sr Manager - Software Development (Remote US Based)

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 158300.0 - 261100.0 USD per year

🔍 Software Development

🏢 Company: external_career_site_usa

🔧 Requirements

10+ years of software development experience, with at least 4+ years in a leadership or management role.
Strong communication and leadership skills, with experience leading and mentoring engineering teams.
Proven, hands-on experience with running production workloads in AWS cloud services in production including serverless computing (e.g., Lambda, API Gateway, DynamoDB, S3, etc.).
Expertise in programming languages (Go, Java, .Net).
Deep understanding of API-first development and Domain-Driven Design (DDD).
Familiarity with microservices architectures and event streaming technologies (e.g., Kinesis, Kafka).
Experience with CI/CD practices, shift left automated testing, and monitoring for cloud-native applications.
Excellent problem-solving and analytical skills with a focus on delivering scalable, maintainable, and high-performing solutions.

💡 Responsibilities

Build, lead and manage a team of high performing software engineers to design, build, and scale software platform services, ensuring it meets business needs and technical requirements.
Cultivate a culture of continuous improvement, technical excellence, and modern software development practices.
Identify, attract, and develop a team of talented software engineers
Apply API-first design principles to build modular, reusable, and well-documented services.
Champion Domain-Driven Design (DDD) in the architecture and implementation of services, ensuring strong domain models and boundary context.
Leverage serverless architecture (e.g., AWS Lambda, Fargate) for cost-effective, scalable services that minimize infrastructure overhead.
Ensure the best practices in Software engineering, CI/CD pipelines, testing, and monitoring to maintain high-quality releases.
Collaborate closely with product management, architecture, and other cross-functional teams to ensure seamless delivery of features.
Monitor and optimize AWS resource usage to ensure a cost-effective platform.
Work in a collaborative environment to ensure a shared understanding of complex topics.
Contribute to and lead process improvement initiatives across the entire department.

AWS Backend Development Docker Leadership Project Management Software Development SQL Amazon RDS AWS EKS Cloud Computing DynamoDB Java Jenkins Kafka Kubernetes People Management API testing Go .NET Serverless CI/CD RESTful APIs Mentoring Terraform Microservices Technical support Software Engineering Debugging

Posted about 7 hours ago

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🔥 Technical Product Manager-Custom Software Development

Posted about 15 hours ago

📍 United States

🧭 Full-Time

💸 127900.0 - 213200.0 USD per year

🔍 Software Development

🏢 Company: ge_externalsite

🔧 Requirements

5 years of Custom Software Development and experience in Digital Workplace Technology
Experience in working with different product frameworks and methodologies
Demonstrated experience with release engineering, software quality assurance and feature management
Experience managing software delivery for a custom home-grown software hosted in a public cloud is a strong plus
Ability to design and scope features for an event driven microservices based software environment
Exposure to leading simultaneous, complex workstreams
Experience in working across different SDLC methodologies
Experience with Digital Workplace services is a huge plus
Experience in Product Management and Product Lifecycle Management
Demonstrated strong technical and analytical skills
Demonstrated solid communication skills at all levels of the organization
Proactively identifies and removes project obstacles or barriers on behalf of the team
Ability to evaluate technology to drive features and roadmaps, mapping technology trends to internal vision and strategy
Able to balance value propositions for competing stakeholders and develop recommendations that meet all needs
Understands when change is needed and actively participates in technical strategy planning
Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices

💡 Responsibilities

Execute and manage multiple, simultaneous workstreams within the custom application portfolio to advance the capability delivered to GE Aerospace employees
Quickly become a product advocate, championing the adoption and usage of the platforms across GE Aerospace
Oversee all areas of the product lifecycle – from discovery through to deployment and product consumption
Coordinate technical design and architecture discussions across cross-functional teams
Partner closely with engineering teams to validate technical design decisions meet the businesses needs
Partner closely with the Digital Workplace Software & Architecture organization to map capability and functionality to the broader product portfolio roadmap
Build, own, and maintain product documentation that will be utilized to train internal support teams and end users on core product operational capability
Manage and own customer product team relationships, working closely to ensure the success of product rollouts while maintaining strong ties to customer needs
Manage the TTO (transition to operations) process when launching new capability
Develop a robust communication pack to be leveraged by customers when rollout out the product within their organizations
Communicate effectively both within immediate team, horizontal partners, and GE Aerospace leadership

AWS Project Management Software Development Cloud Computing Data Analysis Product Management Cross-functional Team Leadership Product Analytics REST API Communication Skills Analytical Skills Microservices Technical support

Posted about 15 hours ago

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🔥 Senior Enterprise Account Executive (Remote, Canada)

Posted about 16 hours ago

📍 Canada

💸 140000.0 - 215000.0 CAD per year

🔍 Software Development

🏢 Company: Collective[i]

🔧 Requirements

The candidate should be an early adopter embracing AI to improve outcomes, a thought leader, thrive on competition, be intrinsically motivated to win, has a proven track record of closing large, complex deals.

💡 Responsibilities

Instrumental in helping leading revenue organizations operate more productively and profitably using AI delivered via Collective[i]'s award winning applications.

AWS Leadership Artificial Intelligence Cloud Computing Data Analysis Machine Learning Salesforce Cross-functional Team Leadership API testing REST API Communication Skills CI/CD Problem Solving Agile methodologies Mentoring Negotiation Coaching Account Management Client relationship management Sales experience Data visualization Team management Strategic thinking CRM Data modeling SaaS

Posted about 16 hours ago

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Shown 10 out of 1003

AWS Job Salaries

Median high-range salary for jobs requiring AWS:

Skills and Salary

Communication Skills

Microservices

Kubernetes

Cloud Computing

Python

CI/CD

SQL

Docker

REST API

Industries and Salary

Insurance

Healthcare Technology

Fintech

Healthcare

Software Development

Software as a Service (SaaS)

Financial Services

Cybersecurity

E-Commerce

EdTech

Jobs