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Python Cloud Aws Software Engineer Jobs (NOW HIRING)

Cloud AWS Engineer

Richmond, VA ยท On-site

$145K - $166K/yr

Train staff on new software/hardware tools and enforce high-level standards for programming and ... Python, Bash). โ€ข Infrastructure Design: Full understanding of industry practices in cloud ...

Cloud AWS Engineer

Richmond, VA ยท On-site

$145K - $166K/yr

Train staff on new software/hardware tools and enforce high-level standards for programming and ... Python, Bash). โ€ข Infrastructure Design: Full understanding of industry practices in cloud ...

Cloud Software Engineer

Westlake, TX ยท On-site

$57.50 - $75/hr

Cloud Software Engineer DURATION OF CONTRACT: 12 months - 1 week onsite and 1 week remote is there ... Java and Python coding AWS EKS Terraform Oracle, DB2, write SQL queries against oracle DB Kafka ...

About the Role: We're looking for a Software Engineer experienced in building backend cloud-native applications using Python and AWS services. In this role, you'll play a critical part in designing ...

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Python Cloud Aws Software Engineer information

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$23K

$140K

$202.5K

How much do python cloud aws software engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for python cloud aws software engineer in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What does a Python Cloud AWS Software Engineer do?

A Python Cloud AWS Software Engineer designs, develops, and maintains cloud-based applications using the Python programming language on Amazon Web Services (AWS) infrastructure. They are responsible for building scalable, secure, and efficient software solutions that leverage AWS services such as Lambda, EC2, S3, and more. Their work often involves automating cloud deployments, integrating third-party APIs, and ensuring the reliability and performance of cloud-native applications.

How does a Python Cloud AWS Software Engineer typically collaborate with DevOps and other engineering teams?

A Python Cloud AWS Software Engineer frequently works alongside DevOps teams to streamline cloud deployments, automate infrastructure, and ensure code runs reliably in production environments. Collaboration often involves participating in code reviews, sharing knowledge on AWS best practices, and jointly troubleshooting issues related to CI/CD pipelines or cloud services. Regular communication with other software engineers, solution architects, and security specialists is also common to integrate features, maintain code quality, and uphold security standards. This collaborative environment fosters continuous learning and helps deliver robust, scalable cloud solutions efficiently.

What are the key skills and qualifications needed to thrive as a Python Cloud AWS Software Engineer, and why are they important?

To thrive as a Python Cloud AWS Software Engineer, you need strong programming skills in Python, a solid understanding of cloud computing concepts, and hands-on experience with AWS services, often supported by a degree in computer science or a related field. Familiarity with tools like AWS Lambda, EC2, S3, CloudFormation, and relevant certifications such as AWS Certified Developer are highly valuable. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating across teams and navigating evolving technologies. These skills ensure efficient cloud solution development, secure and scalable deployments, and successful project delivery in rapidly changing environments.

What are popular job titles related to Python Cloud Aws Software Engineer jobs?

For Python Cloud Aws Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Python Cloud Aws Software Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Lead Software Engineer - Cloud AWS Resiliency

Plano, TX โ€ข On-site

J.P. Morgan
Banking and Credit Intermediationย โ€ขย 10K+ employees

Full-time

Medical, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking technology - Deposits Platform, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Lead and coordinate end-to-end DR tests and real-time failover events across all applications within the product portfolio, ensuring smooth cross-team collaboration.
  • Develop and maintain overarching resiliency frameworks that development and infrastructure teams can consume via automated product offerings and repeatable patterns. 
  • Define and monitor Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for all product components, tracking metrics to identify architectural or procedural gaps.
  • Partner with application teams to automate disaster recovery provisioning, scaling, configuration, and monitoring using Infrastructure as Code (IaC) tools like Terraform.
  • Drive resiliency testing scenarios and chaos engineering using native tools like AWS Fault Injection Service (FIS) and AWS Resilience Hub to identify vulnerabilities before they impact production
  • Partner with SREs to build advanced detection capabilities, leveraging ex-AWS Resilience Hub to assess application resilience and set up proactive CloudWatch alerts.
  • Establish, maintain, and execute technical DR playbooks and recovery runbooks, ensuring sequence mapping and dependencies are meticulously documented.
  • Mentor and lead software engineers across the organization, promoting continuous learning and operational best practices.
  • Collect, govern, and report on DR test artifacts, audit trails, and resilience maturity scores to demonstrate compliance with internal and regulatory standards.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Hands-on experience with AWS cloud architectures, specifically DR-enabling services like AWS Elastic Disaster Recovery, AWS Backup, and multi-AZ/multi-region deployments.
  •  Proficiency in at least one modern language (Python, Go, or Bash) and familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  • 5+ years in Site Reliability Engineering (SRE), Disaster Recovery Planning, or Distributed Systems Engineering.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills 

  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.