Top Senior Python Jobs in Atlanta, GA

Leads reliability engineering for critical platforms by improving scalability, performance, observability, automation, and incident response. Designs SLOs, error budgets, monitoring, recovery mechanisms, and infrastructure solutions; conducts root cause analyses and postmortems; supports distributed systems, Kubernetes, cloud platforms, IaC, and CI/CD pipelines. Provides technical leadership across engineering teams, mentors engineers, and applies AI tools to automate workflows and improve operational efficiency.

Builds and maintains secure, scalable cloud and data-center infrastructure supporting business applications. Responsibilities include software development, infrastructure automation, CI/CD pipelines, testing, debugging, documentation, technical support, and process improvement. The role uses infrastructure as code and AWS technologies, manages Windows workloads and containers, and mentors junior engineers.

Designs, develops, tests, maintains, and supports secure, scalable software and cloud infrastructure. Responsibilities include microservices, APIs, databases, asynchronous processing, automated testing, CI/CD, observability, production incident response, Agile delivery, and senior-level technical ownership. The role collaborates cross-functionally, decomposes work, improves engineering standards, and may participate in rotating on-call support.

Leads software and data engineering for secure, scalable AWS platforms. Designs, develops, tests, troubleshoots, and reviews production code; builds and operates ETL/ELT pipelines, data platforms, and streaming solutions. Establishes reliability, security, governance, monitoring, and cost-optimization practices. Drives responsible adoption of AI-assisted engineering tools and LLMs, evaluates architectural solutions, mentors teams, and promotes modern engineering practices.

Build and operate reliable, scalable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Own cloud networking, IAM, secrets, observability, disaster recovery, cost optimization, and platform resilience. Improve deployment practices, eliminate manual toil, lead incident response and postmortems, modernize legacy infrastructure, and partner with engineering teams to deliver secure, reproducible systems. The role is remote with travel to Orlando at least twice annually.

Leads reliability, scalability, performance, and security for large-scale cloud systems. Designs AWS infrastructure with Terraform, automates CI/CD and operational workflows, establishes SLOs, manages incident response and disaster recovery, develops monitoring and observability solutions, and builds internal tools. Partners with engineering teams on architecture and reliability practices, conducts code reviews, mentors SREs, and supports compliance, vulnerability management, and security integration.

Leads software engineering for cloud financial management products, providing technical direction and developing secure, scalable production code. Modernizes front-end applications with React, improves CI/CD and automated testing, and integrates AI-assisted engineering practices responsibly. Influences architecture, product design, and operational processes; resolves recurring issues through automation; contributes to SDLC governance; and evaluates vendor and startup solutions. Requires strong Java or Python skills, cloud-native experience, financial services knowledge, and expertise in application resiliency and security.

Leads platform engineering initiatives supporting cloud-native application teams. Designs and operates highly available systems, CI/CD pipelines, infrastructure automation, Kubernetes platforms, observability, security tooling, and developer enablement workflows. Provides architectural guidance, technical leadership, escalations, and mentorship while improving reliability, delivery velocity, and engineering standards across teams.

Designs, analyzes, integrates, and tests RF, radar, sensor, and electromagnetic systems for defense and research prototypes. Responsibilities include RF architecture, component selection, prototype fabrication, laboratory measurements, troubleshooting, test automation, signal processing, and performance characterization. The engineer uses C++, Python, and RF instrumentation, collaborates across engineering disciplines, supports customer programs and proposals, and independently owns complex RF work packages from requirements through validation.

Owns end-to-end embedded engineering for rapid defense prototypes, including system architecture, FPGA design, PCB design, firmware, hardware bring-up, sensor and high-speed interface integration, and verification. Develops C/C++ software, VHDL/Verilog logic, and Python test automation; debugs systems in the lab; documents results; briefs customers; mentors engineers; and contributes to proposals and research. The role is in-person in Huntsville, Alabama and requires U.S. citizenship and an active or obtainable Secret clearance.

Leads multidisciplinary teams developing, modeling, testing, integrating, and demonstrating signal processing, optimization, machine learning, radar, and electronic warfare algorithms. Responsibilities include developing RF and sensing system concepts, directing simulations, supporting laboratory and field test evaluations, assessing performance, translating customer requirements into research priorities, and presenting technical findings to customers and senior stakeholders.

Develop, integrate, and test safety- and mission-critical embedded software for military aircraft avionics. The role involves C++ development across real-time operating systems, Linux, Windows, and bare-metal environments; software integration and hardware testing; and collaboration across multi-site engineering teams. Candidates must work onsite, travel 10%, and qualify for access to classified information. Preferred experience includes flight software, Python, MBSE, simulation, DO-178C, navigation and guidance systems, signal processing, and hardware/software troubleshooting.

Senior SDET responsible for owning software quality through test strategy, automated and manual testing, defect analysis, and Python/Pytest automation. The role leads quality engineering practices, automation frameworks, code reviews, static analysis remediation, technical proofs of concept, Agile collaboration, mentoring, and continuous improvement across software products and platforms.

Leads end-to-end development and maintenance of enterprise technology platforms. Responsibilities include gathering requirements, reviewing designs and code, improving system stability and scalability, managing change requests, coordinating testing and releases, overseeing monitoring and on-call support, leading large projects, facilitating requirements sessions, and evaluating vendors. The role also mentors others and works with Kubernetes, programming languages, databases, and machine learning or generative AI workflows in regulated environments.

Design, build, and maintain Terraform-based multi-account cloud infrastructure; create CI/CD pipelines; develop automation workflows and AI-assisted engineering tools; monitor observability and security posture with Datadog; eliminate operational toil via scripting, IaC, and AI tooling while ensuring compliance.

Develop and support software applications, web services, data stores, and user interfaces for wealth management clients. Analyze requirements, assist with alert onboarding, test and debug applications, and manage software releases. Coordinate release activities, create runbooks, release notes, and deployment manifests, and work with DeployOps and Support to safely deploy changes to production. The role also involves database analysis, ETL, job scheduling, reporting, CI/CD, data modeling, and application configuration within a global agile team.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Designs, optimizes, and operates large-scale MongoDB platforms, including sharded clusters, data models, query performance, replication, high availability, disaster recovery, and cross-region failover. Automates database operations and monitoring with Python or shell scripting, partners with application teams on database practices, and provides 24x7 rotational on-call support. The role is onsite Monday through Friday with occasional travel and may require overtime, weekends, and holidays.

Lead maintenance and enhancements for the Varicent ICM platform, including compensation plan configuration, solution design, defect triage, root cause analysis, migrations, testing, and stakeholder collaboration. Develop complex compensation and analytics solutions using Varicent, Python, SQL, and JavaScript. Serve as a subject matter expert on incentive compensation, agent and employee compensation, and end-to-end analytics processes.

Own the architectural direction of a scalable, multi-tenant SaaS platform for government agencies. Lead system design, technology selection, cloud architecture, integrations, security and compliance, performance optimization, and technical roadmaps. Provide technical leadership and mentorship to engineering teams while guiding decisions across product and engineering stakeholders. The role requires expertise in cloud platforms, microservices, containerization, CI/CD, scripting languages, API development, and secure data exchange.

Develop and maintain complex full-stack web applications, databases, APIs, and geospatial solutions for public health and emergency response programs. Responsibilities include feature development, requirements analysis, Agile DevOps delivery, SQL database administration, automation with Python and JavaScript, performance tuning, security configuration, troubleshooting, user support, and production of interactive cartographic products. The role also requires project documentation, schedule management, and collaboration with public health analysts, epidemiologists, and technical teams.

Leads enterprise test automation strategy and framework architecture across web, desktop, and mobile applications. Establishes automation standards, quality gates, and best practices; mentors engineers; integrates automated testing into CI/CD pipelines; supports distributed execution; evaluates emerging technologies including GenAI; and serves as the technical authority for automated testing. Collaborates cross-functionally to improve software quality, efficiency, compliance, and delivery reliability.

Design, develop, and ship scalable cloud-native platform features using C#/.NET, React or Angular, Azure services, APIs, and microservices. Use AI coding assistants responsibly throughout development, testing, reviews, and documentation. Translate requirements into technical designs, troubleshoot production issues, improve reliability and security, and collaborate with product, QA, and scrum teams. Contribute to AI/LLM prototypes, automated testing, CI/CD, code reviews, and continuous improvement.

Leads reliability engineering and probabilistic risk modeling for fielded and new gas turbine products. Develops component, system, and fleet-level lifing, outage risk, damage accumulation, RAM, and predictive models using statistical methods. Prioritizes and reviews technical projects, supports contractual RAM guarantees and customer engagements, identifies fleet issues, and advances modeling capabilities. Provides technical leadership, mentoring, cross-functional collaboration, and engineering expertise across MYA Services, Systems Engineering, Product Service, Design Engineering, and Product Line Management.

Lead the design and development of foundational Wealth Management APIs, microservices, and business components. Build secure, cloud-ready SOAP and REST interfaces supporting CI/CD and multiple channels. Develop high-concurrency, low-latency, highly available applications using .NET, C#, Azure, Docker, Kubernetes, messaging platforms, and SQL Server. Apply API security and industry-standard microservices practices across Morgan Stanley’s technology environment.