Top Senior Python Jobs in Atlanta, GA

Strengthen reliability and resilience across T-Mobile payment systems by automating deployment and operational processes, managing cloud infrastructure, responding to incidents, conducting root cause analysis, and improving distributed database scalability, system stability, and software delivery.

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.

Leads hands-on full-stack software design, development, testing, and delivery across web, mobile, and backend platforms. Owns AWS serverless architecture, technical decisions, API development, infrastructure as code, CI/CD, observability, and production issue resolution. Prototypes and evaluates AI-assisted solutions using Claude, Amazon Bedrock, and other GenAI tools. Serves as the technical anchor for a scrum team, mentoring engineers and partnering with product, architecture, and QA teams.

Designs, develops, tests, maintains, and supports secure production software and cloud infrastructure. Builds scalable, resilient microservices and APIs, works with databases and event-driven systems, and delivers through Agile, Git, automated testing, and CI/CD practices. Participates in architecture decisions, observability, incident response, code reviews, and rotating on-call support. Owns ambiguous work through release, decomposes tasks, mentors teammates, and communicates with technical and non-technical stakeholders.

Own the implementation of an enterprise AI integration platform, including its MCP gateway, Redis-backed identity and session layer, connector provisioning engine, enterprise data connectors, observability stack, security controls, automated testing, and CI/CD pipelines. Develop AWS-based container infrastructure, maintain Snowflake MCP services, implement RBAC and PII masking, support high-concurrency workloads, and create production troubleshooting tools, documentation, and operational runbooks.

Leads development, modernization, and production support for enterprise IBM iSeries applications using RPG and Python. Serves as the Level 3 escalation point for critical inventory and transaction systems, resolving complex incidents, driving root-cause improvements, and ensuring operational continuity. Provides technical leadership across engineering teams, defines standards and architecture, supports integrations, mentors engineers, and partners with business and product stakeholders on modernization, reliability, observability, and AI adoption initiatives.

Design, build, and govern enterprise observability and resilience patterns. Integrate and develop tooling (ServiceNow ITOM hub, CloudWatch, New Relic, Splunk, SolarWinds, PagerDuty), implement synthetic tests and automation, use AI/LLMs for detection and response, establish spec-driven standards, reduce toil via automation, own production monitoring and incident response, and partner with engineering teams to drive adoption and platform improvements.

Designs, develops, tests, maintains, and supports secure production software and cloud infrastructure. Builds scalable, resilient services using modern object-oriented languages, microservices, APIs, databases, messaging, containers, and public cloud platforms. Applies automated testing, CI/CD, observability, Agile practices, and secure software engineering principles. Owns ambiguous technical problems through delivery, decomposes work, mentors others, collaborates with technical and business stakeholders, and may participate in rotating on-call support.

Design, develop, test, deploy, and maintain scalable software across the technology stack. Translate requirements into technical specifications, deliver features using Agile practices, write automated tests, resolve production issues, and ensure security, reliability, and performance. Use AI-assisted development tools and spec-driven workflows, collaborate with Product, QA, and Architecture, contribute to technical decisions, and mentor junior engineers.

Own the design, development, operation, and refactoring of third-party integrations, public APIs, SDKs, and event-driven services. Build resilient systems using Node.js, TypeScript, PostgreSQL, Kafka, Redis, and Kubernetes; manage API versioning, partner reliability, performance, monitoring, and production incidents. Mentor engineers, lead technical designs, and collaborate across engineering, product, partnerships, and customer-facing teams.

Build and operate scalable, reliable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Responsibilities include managing EKS platforms, improving deployment pipelines, securing networking and IAM, enhancing observability, optimizing cloud costs, implementing disaster recovery, reducing operational toil, and modernizing legacy infrastructure. The role also leads incident response, reliability initiatives, platform adoption, and cross-team infrastructure projects.

Design, develop, and maintain highly available, concurrent, fault-tolerant software for BlackRock’s ETF platform. Provide technical leadership across architecture and strategic roadmaps, collaborate with global cross-functional teams, manage stakeholders, and deliver scalable solutions. Responsibilities include testing, code reviews, risk mitigation, level-two support, automation, and continuous improvement. The role requires Java or Python development, microservices, APIs, databases, DevOps, and CI/CD experience, with financial technology experience preferred.

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 a software engineering team while contributing hands-on to architecture, design, and implementation of Java and Spring Boot microservices. Develops cloud-native APIs on AWS, establishes engineering standards, implements CI/CD and observability practices, and guides scalable distributed-system solutions. Mentors engineers through reviews and pair programming while collaborating with product and architecture teams. The role also supports API governance, event-driven architectures, generative AI integrations, performance optimization, and agile delivery.

Lead DevOps engineering for cloud platforms, Kubernetes, CI/CD, infrastructure automation, observability, production readiness, and disaster recovery. Improve deployment reliability, scalability, performance, and cloud cost efficiency through Infrastructure as Code and configuration management. Provide technical direction, troubleshoot complex cloud issues, and collaborate with project managers, business sponsors, senior leaders, and engineering teams to deliver secure, resilient technology.

Build and automate cloud infrastructure using Infrastructure as Code, optimize CI/CD pipelines, maintain secure and reliable platforms, monitor cloud services, and troubleshoot infrastructure issues with application teams. Senior responsibilities include setting architectural strategy, developing roadmaps, capacity planning, and leading cross-functional engineering projects. The role requires on-call participation, occasional weekend support, and light travel.

Design, build, deploy, and maintain production-ready backend software using Python and Django. Develop APIs, data models, performance optimizations, and secure systems while occasionally contributing to React, TypeScript, infrastructure, and CI/CD work. Collaborate cross-functionally to deliver reliable product experiences and continuously improve technical capabilities.

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.

Design, build, and operate backend services and infrastructure for AI development, evaluation, and deployment. Develop APIs, integrations, and large-scale ETL pipelines while applying distributed systems principles for scalability, reliability, and performance. Own services through deployment, monitoring, debugging, and operational improvement. Collaborate with machine learning, product, research, and infrastructure teams; contribute to architecture, conduct code reviews, mentor engineers, and support production health and on-call responsibilities.

Develop and maintain a C#/.NET medical-device application, improve architecture, testing, code quality, and documentation, and integrate software with GUI, firmware, operating systems, and hardware. The role clarifies requirements, supports regulated design controls and traceability, conducts code reviews, mentors developers, coordinates distributed and vendor teams, and contributes to Agile planning and technical leadership. This is an onsite position in Atlanta, Georgia.

Design, build, and support AWS and Azure cloud infrastructure. Develop Terraform infrastructure-as-code, Python automation, policy-as-code with Checkov, and CI/CD pipelines using GitHub, GitLab, or Bitbucket. Troubleshoot complex platform and production issues, improve reliability and operational excellence, enforce governance and compliance, and collaborate with engineering, security, and platform teams on scalable, secure, highly available solutions.

Develop and maintain TaxConnex’s proprietary web-based sales tax compliance platform. Responsibilities include full SDLC execution, requirements gathering, cloud architecture, backend development in PHP and Python, AWS serverless services, API and data processing, React frontend development, testing, production support, and troubleshooting. Senior engineers also provide technical direction, lead code reviews, mentor developers, and manage software development initiatives.

Researches, develops, and optimizes silica glass materials, characterization methods, manufacturing processes, and optical fiber innovations. Conducts laboratory measurements, simulations, statistical analysis, and process automation using Python, MATLAB, LabVIEW, R/JMP, and related tools. Collaborates with manufacturing, quality, product development, and global engineering teams to improve product quality, yield, and efficiency. Mentors junior engineers and supports scalable, cost-effective production technologies.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground support vehicles in airport environments. Responsibilities include selecting planning algorithms, defining software architecture, optimizing trajectories, handling uncertainty, collaborating with perception and controls teams, promoting functional safety practices, and mentoring engineers. The role requires strong C++ or Python skills, Linux experience, autonomous systems planning expertise, and the ability to independently solve complex technical problems.

The Sr Systems Compute & Storage Engineer VP is responsible for managing Linux servers, enterprise storage, and VMware systems, ensuring operational efficiency and security compliance while driving automation and collaboration across teams.