Explore 6 python aws developer jobs from 2 hiring companies in Palo Pinto, TX, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Aws Developer

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Python Aws Developer Jobs

Fidelity Investments

Semper Valens Solutions

Hybrid

Onsite

Remote

<h2></h2><h2>Job Description:</h2><h1>Note: Fidelity will not provide immigration sponsorship for this position.</h1><h1>Senior Software Engineer - Python APIs</h1>The Role As a Senior Software Engineer on the Enterprise AI/ML Platform team, you will design, build, and operate production-grade software systems that enable machine learning at scale across the organization. You will focus on developing robust web services, libraries, and automation that support model training, evaluation, deployment, and lifecycle management in highly regulated, high-availability environments. This role is ideal for engineers who enjoy working on distributed systems, developer platforms, and infrastructure-heavy codebases, and who have applied software engineering best practices to systems that support AI/ML workloads.The Expertise and Skills You Bring<ul><li>Bachelor’s or Master’s degree in a technology-focused discipline such as Computer Science, Software Engineering, or a closely related field.</li><li>Strong software engineering experience in Python, with a proven ability to design, implement, test, and maintain production-quality libraries, services, and internal platforms. Comfortable applying object-oriented and functional programming principles in Linux-based environments; scripting and automation experience required. </li><li>Possess 5 years of professional experience developing Python-based cloud applications or internal platforms, with demonstrated ownership of non-trivial systems in production.</li><li>Familiarity with Java or Groovy is a plus.</li><li>Familiarity with LiteLLM or GenAI Gateways is a plus.</li><li>Experience building and operating cloud-native systems on AWS, including services such as S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS. Experience supporting managed ML services (e.g., SageMaker or equivalent) as part of a broader platform. Exposure to Azure or GCP is beneficial but not required.</li><li>Strong DevOps and CI/CD experience, including automated build, test, and deployment pipelines using tools such as Jenkins and Git-based workflows. Hands-on experience with containerization (Docker) and deploying containerized workloads in scalable environments.</li><li>Infrastructure-as-Code expertise is a plus, using tools such as AWS CloudFormation and Terraform/OpenTofu to provision, manage, and evolve cloud infrastructure in a repeatable and auditable manner.</li><li>Hands-on experience supporting ML-enabled systems in production, including model packaging, deployment, inference workflows, monitoring, and operational measurement. Emphasis on system reliability, observability, and maintainability, rather than model experimentation or research.</li><li>Familiarity with applied machine learning concepts and data workflows, including feature pipelines and working with structured, semi-structured, and unstructured data, sufficient to design and support scalable ML platforms and integrations.</li><li>Strong understanding of scalable and distributed system design, with experience building or operating systems that handle high-throughput workloads, asynchronous processing, and fault tolerance using open-source technologies.</li><li>Proven experience supporting business-critical applications, including troubleshooting production issues, performing root cause analysis, and driving improvements to system stability and performance.</li><li>Excellent communication and collaboration skills, with the ability to clearly document systems, communicate technical tradeoffs, and work effectively across engineering, data, and business teams.</li><li>Ability to operate effectively in ambiguous, fast-paced environments, adapting to evolving business priorities and technology changes within a broader AI and data ecosystem.</li><li> Partner with Data Scientists to package, scale, and operationalize models, providing the platforms and tooling required to move from experimentation to reliable production use.</li><li>Collaborate with application and platform engineers to integrate ML capabilities with enterprise gateways and services, enabling secure and scalable access to both traditional and generative models.</li><li>Operationalize ML-enabled systems at enterprise scale, designing and supporting services capable of serving predictions to tens of millions of customers with high reliability and performance.</li><li>Build platform tooling for model and data observability, including detection of data and feature drift, monitoring prediction quality and uncertainty, and automating diagnostics and explainability workflows.</li><li>Continuously evaluate and adopt emerging technologies, applying sound engineering judgment to simplify the data and ML ecosystem while improving developer experience and operational stability.</li><li>Drive innovation through pragmatic, forward-looking solutions, balancing future capabilities with production readiness and long-term maintainability.</li><li>Improve team agility and productivity by introducing reusable frameworks, automation, and clear abstractions that reduce friction for downstream consumers.</li><li>Resolve technical roadblocks and mitigate platform risks, proactively addressing scalability, reliability, and integration challenges.</li><li>Increase delivery velocity and system reliability through automation, including the design and maintenance of robust CI/CD pipelines and operational workflows.</li></ul>The TeamThe Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale.In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement.The base salary range for this position is $97,000-185,000 USD per year.  Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   We offer a wide range of <a target="_blank" href="https://jobs.fidelity.com/benefits/">benefits</a> to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.<h2></h2><h2>Certifications:</h2><h2></h2><h2>Category:</h2><h2></h2>Information Technology

Senior Software Engineer - Python APIs

Senior Software Engineer

5+ years Python cloud app development; strong Python, AWS, CI/CD, Docker; distributed systems; ML platform experience; sponsorship not provided.

<h2></h2><h2>Job Description:</h2>Note: Fidelity will not provide immigration sponsorship for this position. The RoleWe are seeking a Senior Data Engineer to join our Enterprise Data and AI Organization, where you will play a pivotal role in advancing next-generation data and AI capabilities through the design and delivery of innovative solutions. You will collaborate with a global network of engineers as part of a diverse, cross-functional team of highly motivated technologists who value innovation, transparency, and teamwork. The team brings together deep technology and business expertise with a passion for exploring emerging technologies, grounded in the belief that small, empowered, and self-directed teams can deliver exceptional outcomes. In this role, you will lead the engineering and development of high-quality software components and applications supporting enterprise-standard data contract services. Beyond hands-on development, you will help define and implement forward-looking solutions that enable effective management and governance of Fidelity’s enterprise data assets.The Expertise and Skills You Bring <ul><li>Proven experience designing and delivering cloud-native data and software engineering solutions</li><li>Hands-on expertise building data pipelines using multiple integration patterns, including batch processing, event-driven architectures, and REST-based APIs</li><li>Strong proficiency in AWS services, Java, Python, REST APIs, and Kafka</li><li>Solid understanding of data management concepts, data quality best practices, and experience implementing governance and validation frameworks</li><li>Demonstrated experience building and supporting CI/CD pipelines using tools such as GitHub, Artifactory, and Jenkins</li><li>Extensive hands-on experience across all phases of the software development lifecycle (SDLC), including design, development, testing, deployment, and production support</li><li>Deep technical expertise in data engineering with a strong interest in learning emerging technologies and evolving cloud platforms</li><li>Ability to work effectively both independently and collaboratively within cross-functional teams</li><li>Strong problem-solving, analytical, and troubleshooting skills</li><li>Detail-oriented mindset with a focus on quality, reliability, and performance</li><li>Ability to thrive in fast-paced, dynamic environments with changing priorities</li><li>Collaborative team player with a willingness to share knowledge and mentor junior engineers</li><li>Public cloud certification (AWS or Azure) strongly preferred</li></ul>  The Team This is an opportunity for a highly motivated Data Engineer to join Enterprise Data and AI Organization where you will contribute to powering the next generation of Fidelity’s digital services through innovative solutions using the latest cloud native technologies and innovative engineering practices. <h2></h2><h2>Certifications:</h2><h2></h2><h2>Category:</h2><h2></h2>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Senior Data Engineer

Design and deliver cloud-native data and software solutions; build data pipelines; AWS, Java, Python, REST APIs, Kafka; CI/CD; SDLC; cloud certifications preferred.

<h2></h2><h2>Job Description:</h2>Note: Fidelity will not provide immigration sponsorship for this positionThe RoleSeeking a hardworking, curious person who thrives in an exciting, fast-paced team. The Cybersecurity Insider Threat team engages in high-profile security projects to improve Fidelity’s security posture and prevent data leakage. The candidate will be immersed in a setting that spans various operating systems, addressing a constantly evolving threat landscape, working with numerous security teams to help solve real-life problems and providing support and maintenance of production environments.The ideal candidate should have a Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, with 2-3 years of industry experience in software development, automation, design, and analytics. You should have an understanding of Data, Cyber, and Cloud security, with experience following security standards, controls, and architecture. We are looking for a curious mind with a solid foundation developing back and front-end technologies in large scale multi-cloud environments, who is a quick learner and can easily adapt to new tools and technology.The Expertise and Skills You Bring <ul><li>Solid understanding of security standards, controls, and architecture, along with application, server, database, and network infrastructure knowledge, in large-scale, enterprise-class contexts </li><li>Some experience with rapid prototyping of new concepts, technologies, and development methods and familiarity with DevOps concepts and principles</li><li>Proven understanding of fundamental design principles for building a scalable application.</li><li>Strong interpersonal and communication skills including written, verbal, and technology illustrations.</li><li>Strong knowledge and hands on experience in several of the following languages and frameworks: Python, Angular, Spring boot, C#, ASP.NET, Bootstrap, CSS/HTML, PowerShell, and shell scripting</li><li>Experience with Cloud development, specifically within AWS and Azure, and familiarity with tools such as Docker, Ansible, and Kubernetes</li><li>Experience building and maintaining CI/CD pipelines and supporting infrastructure, system, and security configurations and policies.</li></ul>The TeamThe Software Engineer – Data Loss Prevention will be working on a team of systems and software engineers focusing on Insider Risk and Data Loss Prevention (DLP). This role will involve working closely with Data Analytics, Insider Operations, Security Operations Center, and Security Architecture teams to help mitigate risk across Fidelity’s computing environment.<h2></h2><h2>Certifications:</h2><h2></h2><h2>Category:</h2><h2></h2>Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Software Engineer - Data Loss Prevention

Software Engineer

Bachelor’s degree in CS/Engineering/IT with 2-3 years in software development; knowledge of data, cyber, and cloud security; experience with front-end and back-end; multi-cloud, DevOps, and CI/CD.

<h2></h2><h2>Job Description:</h2>We are looking for a new team member who can make an immediate impact and who demonstrates curiosity to learn, is willing to step up and take ownership of their projects and thrive by sharing knowledge. The Digital Asset Security Operations team within Fidelity Enterprise Cybersecurity (ECS) group provides cybersecurity security engineering and operational support for mission critical systems that provide cryptocurrency and blockchain related products and services. This role will interact with other members of the cybersecurity team as well as the Risk and Development team of our business partners. This role offers tremendous exposure to industry leading Cryptographic processes &amp; practices, hands-on exposure to Hardware Security Modules, exposure to Blockchain/Digital Currencies, and leading systems monitoring tools &amp; technologies. The Expertise You Have and The Skills You Bring  <ul><li>Bachelor&#39;s degree in computer science or equivalent technology discipline</li><li>6&#43; years of experience in a distributed IT Engineering and/or support function</li><li>2&#43; years of experience with implementing and supporting APIs, Key management &amp; Encryption products, and solutions.</li><li>1-2 years of experience with cloud computing (AWS/Kubernetes/Containerization)</li><li>Understanding of Cryptography/encryption concepts, methods, and processes.</li><li>Strong working knowledge of OS (Linux and Windows) from security point of view (configuration, hardening etc.).</li><li>Knowledge of deploying and managing APIs, and automation/scripting (Python/Bash, PowerShell, etc.).</li><li>Hands-on experience in CI/CD and configuration management systems such as Github, Jenkins and Artifactory</li><li>Hands on experience with Hardware Security Modules (HSM) for key management is highly desired.</li><li>Good system analysis and problem-solving skills.</li><li>Understanding of Agile methodology and ability to work in a fast-paced Enterprise environment is desired.</li></ul>The Value You Deliver <ul><li>You will be part of a highly talented Cybersecurity Dev/Ops team that designs, builds, and supports critical solutions for Fidelity cryptocurrency infrastructure.</li><li>Performing routine tasks of Incident, change and release management work in on-going operations support including source code control, build and deployment automation, configuration and change management, performing monitoring and log integration, server and network security access control for cryptocurrency projects.</li><li>Performing systems security engineering work including designing/recommending new controls implementations, executing proof of concepts, researching new solutions for emerging threats and developing process improvements to improve cybersecurity controls</li><li>Defining, implementing, and supporting authentication, authorization, monitoring, policy enforcement, access control and other security controls at server, system, network, and process levels for the production systems in cryptocurrency environment</li></ul><h2></h2><h2>Certifications:</h2><h2></h2><h2>Category:</h2><h2></h2>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Senior Systems Engineer (Cybersecurity)

Senior Systems Engineer

6+ years distributed IT engineering/support; 2+ years API, key management, encryption; 1-2 years cloud (AWS/Kubernetes); strong OS security knowledge; scripting (Python/Bash/PowerShell); CI/CD and tools (GitHub, Jenkins, Artifactory); HSM experience preferred.

Back-End Developer, Senior/Mid
Full Time Remote
Secret clearance with Top Secret/SCI eligibility
 
**This position is contingent upon contract award**
&nbsp;
Job Description:
Job Responsibilities:
<ul>
<li>Provides subject matter proficiency for work described in the task. </li>
<li>Responsible for providing analytical skills to support process improvement, specialized studies, and definition of requirements. </li>
<li>Typical duties include analysis, planning, developing requirements documents, building functional models, developing procedures, developing functional architectures, and other related management and technical duties. </li>
<li>Requires expertise in specialty areas.</li>
<li>Shall perform engineering tasks for back-end design and development efforts including, but not limited to, developing back-end architectures to support current and new system capabilities and integrations, RESTful API development and modification, database management, and data model development and optimization.</li>
</ul>
&nbsp;
Required Qualifications:
<ul>
<li>Bachelor's degree in related field required.</li>
<li>10 years (Senior)/7 years (Mid) of experience in the functional area. A Master's degree may substitute for 2 years of experience.</li>
<li>10 years (Senior)/7 years (Mid) of software development experience in object-oriented and scripted languages with the ability to apply several tool suites related to DevSecOps, microservices and containers.</li>
<li>5 years (Senior)/3 years (Mid) of experience performing back-end web design and development.</li>
<li>Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.</li>
<li>Demonstrated experience in relational databases, RESTful API development and communication, and system integrations for Mid-level or 10 years for Senior-level.</li>
<li>5 years of experience in Python and PostgreSQL for Senior-level.</li>
<li>5 years (Senior)/3 years (Mid) of experience with bug tracking software (e.g., Jira).</li>
<li>5 years (Senior)/3 years (Mid) of experience testing web-based applications.</li>
<li>5 years of experience leading (Senior) or 3 years participating (Mid) in software development programs or projects.</li>
<li>Practical experience developing in a cloud environment.</li>
<li>3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.</li>
<li>5 years of experience with at least five (5) of the following: Postgress,&nbsp;RDS,&nbsp;Exodus,&nbsp;Python,&nbsp;Luna,&nbsp;Java,&nbsp;Docker,&nbsp;OpenJDK,&nbsp;Ansible,&nbsp;Packer,&nbsp;Maven,&nbsp;Kubernetes,&nbsp;Red Hat</li>
<li>Experience with integrating data from unclassified to classified application deployments for Mid-level.</li>
</ul>
Desired Qualifications: 
<ul>
<li>5 years of experience with DoW software development.</li>
<li>Experience using Agile Test-Driven development.</li>
<li>Experience integrating into DoW DevSecOps environments.</li>
<li>5 years of experience with CI/CD software development.</li>
<li>Demonstrated experience in utilizing UX design tool suites (e.g., Sketch, InVision).</li>
<li>Experience structuring data so it can be integrated into machine learning technologies or AI capabilities</li>
</ul>
&nbsp;
About Semper Valens Solutions:
Semper Valens Solutions, Inc. (SVS) is a Service-Disabled Veteran Owned Small Business (SDVOSB) providing Cost Effective Software and Systems Engineering, Field Support, Training and Full Life cycle Support Management to the DOD and VA community.
At Semper Valens, our vision is to remain a creative, cutting edge and cost-effective solutions provider where our shared intellect, industry experience, and technology excellence, make a positive difference in our customer's success. Our solutions help bridge the gap between IT and business prioritizations to optimize budgets, risks and operational processes.
We search for outstanding technical professionals, hiring at all levels of the experience spectrum; intermediate, journeyman and senior. Consider us for your career plan.
Semper Valens Solutions is an Equal Opportunity Employer
Semper Valens Solutions proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital/parental status, pregnancy/childbirth, or related conditions, physical or mental disability, genetic information, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.
If you require a reasonable accommodation to apply for a position with Semper Valens Solutions through its online applicant system, please contact Semper Valens Solutions Human Resources Department at (830) 899-6870.
Semper Valens Solutions is an affirmative action/equal opportunity employer - minorities, females, disabled, and protected veterans are urged to apply. Applicants have rights under Federal Employment Laws.
All Jobs at Semper Valens Solutions: https://sempervalens.com/careers
&nbsp;

Back-End Developer, Senior/Mid- JCC2-JCO

Back-End Developer

Bachelor's degree; 7-10 years software development; experience in Python, PostgreSQL, RESTful APIs; DevSecOps, microservices, containers; back-end web development; cloud experience; DoD/DoW context preferred.

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