AWS ENGINEER JOB DESCRIPTION

Get a clear picture of AWS Engineer expectations with job descriptions spanning cloud infrastructure, automation, enterprise SaaS, and federal security work.

AWS Engineer Job Description Template

1. About the Role

Five years of hands-on cloud-native development is the baseline for this seat. AWS Engineers in enterprise SaaS and data-platform environments own the infrastructure layer that keeps production systems online - managing compute, storage, and data services while also staying inside the release cycle alongside application teams. The scope runs from schema-level query optimization on columnar databases to CI/CD pipeline health, giving this role a footprint that spans the platform team and the product squad simultaneously. Getting either side wrong degrades the other.

2. Position Summary

As the AWS Engineer, you are accountable for the reliability, security, and performance of cloud infrastructure supporting enterprise-grade applications, owning everything from database provisioning on managed services to automated deployment pipelines. You operate within a cross-functional product team, collaborating daily with development and data analytics stakeholders and reporting into engineering leadership.

3. Why Join Us

Career Impact: Experience operating across columnar data warehouses and cloud-native compute in production SaaS environments builds the platform-engineering depth that commands senior cloud architect roles.

Business Impact: Enterprise clients depend directly on the uptime, query performance, and security posture you maintain - degraded infrastructure reaches paying customers within minutes.

Growth Opportunity: Hands-on exposure to infrastructure-as-code patterns, CI/CD automation, and multi-database optimization expands your market value toward staff or principal engineering tracks faster than most application-layer roles.

4. Key Responsibilities

  • Design and provision cloud databases and storage environments to meet capacity, availability, and security requirements.
  • Monitor production database performance across relational and columnar platforms, resolving bottlenecks before they affect end users.
  • Implement automated backup, recovery, and failover procedures for all managed data stores.
  • Configure and maintain CI/CD pipelines to support reliable, repeatable production deployments.
  • Collaborate with development and data analytics teams on query tuning to improve application response times.
  • Conduct security group reviews and enforce access controls across cloud storage and compute resources.
  • Establish alerting and notification workflows for database unavailability, job failures, and pipeline delays.
  • Evaluate emerging cloud services and integration patterns, performing code reviews to uphold platform standards.

5. Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
  • 5 or more years of AWS infrastructure and cloud-native services experience, with a focus on production environment ownership.
  • Demonstrated experience administering relational and columnar database platforms in a cloud environment.
  • Proficiency in at least one scripting or backend language used for automation and API development.
  • Working knowledge of infrastructure-as-code and configuration management methodologies.
  • Experience configuring and maintaining CI/CD pipelines in an Agile or DevOps delivery model.
  • Strong documentation and problem-resolution skills, including root cause analysis and trend reporting.

6. Preferred Qualifications

  • Prior experience supporting multi-tenant SaaS products in a production capacity.
  • Familiarity with NoSQL data stores alongside traditional RDBMS platforms in a hybrid architecture.
  • Experience working with enterprise clients on production incident troubleshooting and escalation.
  • Exposure to data interchange formats and integration patterns used in enterprise platform development.

7. Success Metrics & Environment

  • Database availability percentage, reflecting uptime of all managed production data stores.
  • Mean time to recovery for failed backup or restore operations against defined SLA windows.
  • Deployment success rate, measuring the proportion of production releases completed without rollback.
  • Query optimization outcomes, tracked as reduction in average execution time on flagged slow queries.
  • Alert response time, measuring how quickly acknowledged incidents are triaged and resolved.
  • Typical tools: cloud database services (commonly Redshift, Snowflake, RDS); pipeline orchestration (commonly Jenkins, Azure DevOps); IaC (commonly Terraform, CloudFormation).

8. Compensation & Benefits (US Market Benchmark)

  • Base Salary Range: $110,000 – $155,000 annually
  • Bonus: Performance-based, typically 5–10% of base salary
  • Equity: RSUs or options common at growth-stage and public SaaS companies
  • Health Benefits: Medical, dental, and vision coverage
  • PTO: 15–20 days annually, plus standard US public holidays
  • Common Perks: Remote or hybrid flexibility, cloud certification reimbursement, home office stipend


Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

9. EEO & Legal

Background checks are a standard condition of employment for this role; offers are contingent on successful completion. All qualified applicants will receive equal consideration regardless of race, color, religion, sex, national origin, disability status, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations are available to individuals with disabilities throughout the application and employment process. Candidates must be authorized to work in the United States.

AWS Engineer Job Description Examples

1. AWS Engineer (Cloud Database Administration)

The AWS Engineer owns the full lifecycle of cloud database environments - monitoring and maintaining MySQL, Redshift, and Snowflake instances, managing S3 backups, and overseeing production deployments across the organization. Working with development and Data Analytics teams, this role ensures database security, performance, and availability to support reliable, scalable data operations.


Key Responsibilities

  • Monitor and maintain MySQL, Redshift, and Snowflake databases.
  • Ensure proper database security measures are implemented.
  • Manage S3 dataset backups and recoveries.
  • Create, back up, and restore Redshift and Snowflake databases.
  • Oversee production deployments.
  • Work with development and Data Analytics teams on query tuning.
  • Implement database and S3 standards and processes.
  • Set up alerts and notifications for DB unavailability, failures, or delays.
  • Set up and maintain databases and buckets for new projects.
  • Consolidate security groups and develop an implementation plan based on dataset usage across departments.


Required Qualifications

  • Prior experience setting up databases on AWS and administering cloud storage is required.
  • Experience monitoring DB jobs and ensuring database availability and performance is required.
  • Knowledge of concurrently optimizing platforms for reliability, scalability, normalization, and referential integrity.
  • Ability to provide trend analysis to service management teams for informed resource decisions.
  • Knowledge of RDBMS platforms including MySQL, Redshift, and Snowflake.
  • Experience with NoSQL, MongoDB, Hadoop, and Teradata alongside relational platforms.
  • Strong problem-finding, resolution, and documentation skills with a detail-oriented approach.
  • Self-starter with demonstrated leadership skills.

2. AWS Engineer (DevOps & Cloud Automation)

Embedded within a cross-discipline engineering team, the AWS Engineer delivers cloud infrastructure solutions by automating provisioning, configuring CI/CD pipelines, and designing web APIs on time and within budget. Working closely with stakeholders across technical and non-technical functions, this role sustains live service reliability and accelerates product delivery for a remote-first team based in Edinburgh.


Core Functions

  • Leverage the latest cloud technologies to deliver solutions on time and within budget.
  • Automate infrastructure provisioning and configuration management.
  • Configure CI and CD pipelines.
  • Manage cloud infrastructure.
  • Monitor and remediate live services.
  • Design and implement web APIs.


Qualifications & Experience

  • Experience with AWS infrastructure, services, and the full software development lifecycle.
  • Knowledge of AWS CloudFormation, CDK, or Terraform.
  • Proficiency in scripting languages, including TypeScript, JavaScript, and Python.
  • Experience with continuous integration and deployment methodologies using Jenkins.
  • Familiarity with Git, Jira, and Agile methodologies.
  • Mentorship and leadership skills are required.

3. AWS Engineer (SaaS Product Development)

Reporting to internal product and engineering leadership, the AWS Engineer shapes the full software development life cycle from conception to deployment, assisting cross-functional teams building features with .Net, React JS, and AWS cloud-native services. Partnering with customers and enterprise clients during production troubleshooting, this role ensures platform stability and drives continuous improvement of SaaS product capabilities.


Primary Duties

  • Assist development teams working on product features using .NET, React JS, and AWS services.
  • Manage product deployment processes.
  • Resolve production-related issues and errors.
  • Communicate with customers and enterprise clients during production troubleshooting.
  • Maintain and enhance internal applications along with security features.
  • Evaluate new technologies and trends and perform code reviews.


Education & Experience

  • Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.
  • At least 5 years of experience as an AWS Engineer and 6 or more years of .NET development experience.
  • Prior experience working on SaaS products is required.
  • Minimum 5 years of hands-on experience building on AWS cloud-native services, including EC2, S3, ECS, SQS, RDS, CloudWatch, Lambda, and API Gateway.
  • Proficiency in SQL, stored procedures, transactions, and data interchange formats such as XML, JSON, and Protocol Buffers.
  • Knowledge of front-end technologies, including React JS, HTML, and CSS, along with MS SQL Server.
  • Strong understanding of design patterns, including MVC, MVP, and MVVM, and various integration types.
  • Experience with CI/CD tools such as Azure DevOps.

4. AWS Engineer (Federal Information Assurance)

Sitting at the intersection of cloud security and federal compliance, the AWS Engineer leads information assurance efforts for a critical Federal program by analyzing security requirements, conducting risk and vulnerability assessments, and developing system accreditation documentation. Operating across an integrated project team and client security organizations, this role translates complex security needs into technical requirements that protect mission-critical systems in AWS GovCloud environments.


Duties

  • Work within an integrated project team providing information assurance for a critical Federal program.
  • Analyze and define security requirements for Multilevel Security issues.
  • Provide direct technical guidance and client support as needed.
  • Support projects by identifying security controls and constraints affecting application performance within client infrastructure.
  • Conduct risk and vulnerability assessments of planned and installed information systems.
  • Develop, maintain, and enhance system and accreditation documentation in collaboration with the Security Team.
  • Identify, analyze, and translate accreditation and security needs into technical requirements.
  • Prepare System Security Plans and ensure compliance with client security teams.
  • Review security controls against STIG checklists and recommend resolutions to security problems.
  • Gather technical information about mission goals, existing security products, and ongoing programs to design and implement MLS solutions.


Skills & Qualifications

  • Bachelor's degree in Information Assurance, Computer Science, Engineering, or a related discipline.
  • CompTIA Security+ certification and CISSP or CISSM certification are required.
  • Experience as an Information Assurance analyst supporting an Agile or DevOps environment.
  • DISA domain knowledge.
  • Experience with Federal PKIs and AWS GovCloud environments.
  • Knowledge of security products, including PKI, VPN, firewalls, and intrusion detection systems.
  • Strong understanding of cyber and IT security risks.
  • Comprehensive understanding of CMMI, ITIL, ISO, Enterprise Architecture, and Information Assurance frameworks.
  • Strong risk assessment, security analysis, technical writing, and presentation skills.
  • Strategic thinking, self-discipline, and a positive attitude.

Editorial Process and Content Quality

This content is developed by the Lamwork Editorial Team using structured analysis of real-world job data, skill requirements, and hiring patterns.

Research framework by Lam Nguyen, Founder & Editorial Lead.

Reviewed by Thanh Huyen, Managing Editor.

Learn more about our editorial standards.