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Python S Jobs in Atlanta, GA (NOW HIRING)

Build and modernize Python-based services, tools, and automation for data records archiving platforms. * Re-engineer legacy Perl/Shell/Java tooling used for: * Archive ingestion and reconciliation

Software Engineer, Python - OIT

Atlanta, GA · On-site +1

$49 - $67.50/hr

You'll leverage your expertise in Python and MuleSoft (version 4) to build robust, scalable APIs and middleware services. Working closely with product teams, architects, and operations, you'll ensure ...

Software Developer, Python & CFML

Atlanta, GA · Hybrid

$49.25 - $68/hr

Design, develop, andmaintainweb applications using Python and React technologies. * Interpret written business requirements and technical specification documents; perform coding to written technical ...

Software Developer, Python & CFML

Atlanta, GA · On-site

$49.25 - $68/hr

Design, develop, and maintain web applications using Python and React technologies. * Interpret written business requirements and technical specification documents; perform coding to written ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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Python S information

See Atlanta, GA salary details

$12

$56

$82

How much do python s jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python s in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

Are Python still in demand in 2026?

Python developers are expected to remain in high demand in 2026 due to Python's widespread use in data science, machine learning, web development, and automation. Proficiency in frameworks like Django or Flask and knowledge of related tools will continue to enhance job prospects for Python specialists.

What jobs is Python useful for?

Python is useful for a variety of jobs including software development, data analysis, machine learning, automation, and web development. It is widely used by data scientists, backend developers, and automation engineers due to its simplicity and extensive libraries like Pandas, NumPy, and Django.

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

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding requires problem-solving, creativity, and understanding of complex systems that AI currently cannot fully replicate. AI tools can assist programmers by automating repetitive tasks and improving efficiency, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new technologies and enhancing skills in areas like machine learning and automation can help Python coders remain valuable in the evolving tech landscape.

What are some common challenges Python Software Engineers face when working on large-scale projects?

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What are Python Software Engineers?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.
What job categories do people searching Python S jobs in Atlanta, GA look for? The top searched job categories for Python S jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Python S jobs? Cities near Atlanta, GA with the most Python S job openings:
Sr. Python Engineer - VP

Sr. Python Engineer - VP

Morgan Stanley

Alpharetta, GA • On-site

Full-time

Posted 18 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

40th of 146 rated financial services


Job description

About Us
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Technology at Morgan Stanley
Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have many award-winning technology platforms that help to propel our Firm's businesses to be the top in the market. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.
Department Profile
Morgan Stanley is seeking an experienced and ambitious candidate to join their Record Archive Service (RAS) group. The group is responsible for managing and supporting multiple Archives platform (Archive 360, CMOD and ERA) to meet Firms Regulatory obligations.
Role Summary
This role is a VP Software Architect responsible for building, modernizing, and operating enterprise-scale data records archiving solutions that support Morgan Stanley's regulatory, legal, and data lifecycle obligations.
The VP will actively engineer and modernize platforms spanning Archive360 (A360), IBM CMOD and other internal tools (ERA, etc.), evolving legacy Perl/Java/Shell-based ingestion, monitoring, entitlement, and disposition tooling into Python-first, cloud-ready, AI-enabled solutions.
A core expectation of this role is to continuously improve efficiency-reducing cost, latency, manual effort, and operational friction while increasing throughput, reliability, and auditability.
Key Responsibilities
1) Hands-On Engineering & Delivery
  • Build and modernize Python-based services, tools, and automation for data records archiving platforms.
  • Re-engineer legacy Perl/Shell/Java tooling used for:
    • Archive ingestion and reconciliation
    • Drop-zone hygiene and monitoring
    • Entitlements and access controls
    • Disposition, retention validation, and reporting
  • Personally lead complex refactors, performance tuning, and production issue resolution.
  • Implement CI/CD pipelines, test automation, and secure SDLC practices for archive-related systems.
  • Participate in incident response, RCA, and remediation for archive ingestion, retrieval, or compliance issues.

2) Electronic Records Archiving Modernization & Migration
  • Modernize archival workflows across Archive360, ERA, and IBM CMOD platforms.
  • Drive migrations such as:
    • ERA → Archive360 ingestion and metadata remediation
    • Legacy batch/script pipelines → Python-based orchestration
    • File-based/manual processes → resilient, observable services
  • Ensure compliance with WORM, SEC 17a-4, retention schedules, legal/tax holds, and disposition controls.
  • Own migration execution artifacts: cutover plans, rollback strategies, reconciliation evidence, and audit support.

3) Architecture & Design
  • Define Python-first, performance-aware architectures for archiving platforms.
  • Make design decisions that balance:
    • Cost efficiency
    • Processing speed and scalability
    • Regulatory risk and auditability
  • Produce concise architecture artifacts (C4, ADRs, ingestion/disposition flows) that directly support efficient delivery.
  • Review designs and implementations to ensure efficiency considerations are embedded early-not added later.

4) Cloud & Platform Enablement
  • Design and implement cloud-ready archive tooling (public/private/hybrid), including:
    • Secure ingestion pipelines
    • Metadata processing and enrichment
    • Monitoring, alerting, and reporting
  • Implement infrastructure-as-code and environment parity for archive platforms.
  • Embed security controls: IAM, encryption, key management, entitlement enforcement, and audit logging.

5) AI-Assisted Engineering & Innovation
  • Apply AI tools to accelerate:
    • Code refactoring and modernization of legacy archive tooling
    • Automated test generation for ingestion and disposition workflows
    • Documentation and runbook creation
  • Explore AI-assisted automation for archive operations (triage, anomaly detection, reconciliation support).
  • Ensure responsible AI usage with human oversight and compliance alignment.

6) Collaboration, Governance & Influence
  • Partner closely with Records Management, Legal, Compliance, Data Governance, and Platform teams.
  • Mentor engineers on Python best practices, archive domain patterns, and regulatory-aware design.
  • Influence technical direction through execution quality and subject-matter expertise.
  • Communicate risks, tradeoffs, and progress clearly to senior technology leadership.

Required Qualifications
  • 12+ years of enterprise software engineering experience with strong modernization ownership.
  • Advanced, hands-on expertise in Python for building production services and automation.
  • Proven experience modernizing records archiving or data lifecycle platforms.
  • Strong working knowledge of Perl, Shell, and Java for legacy assessment and migration.
  • Deep understanding of Unix/Linux, batch processing, and high-volume file ingestion systems.
  • Experience operating in regulated, audit-heavy environments.

Technical Skills
Core (Python-First)
  • Python (advanced): services, tooling, concurrency, packaging, dependency management
  • Testing: unit/integration/contract testing for ingestion and disposition flows
  • APIs, messaging, batch orchestration, idempotency and error handling

Archiving Domain
  • Archive ingestion, reconciliation, and retrieval patterns
  • Retention schedules, legal/tax holds, WORM compliance
  • Disposition workflows and evidence generation
  • Platforms: Archive360, ERA, IBM CMOD (or equivalent)

Cloud & Operations
  • Containers, orchestration platforms
  • Infrastructure as Code
  • Observability, performance tuning, RCA participation

AI & Automation
  • AI coding assistants and refactoring tools
  • Workflow automation and agent-based tooling (nice to have)

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $120,000 and $170,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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