Top Python Jobs in Atlanta, GA

Lead and grow a software engineering team while remaining hands-on technically. Drive technical roadmap, architecture, engineering quality, system performance, scalability, reliability, and security. Hire and mentor engineers, establish team objectives, coordinate with product and stakeholders, lead Agile ceremonies, manage performance, and participate in incident on-call rotations. The role requires full-stack development experience, cloud and SaaS familiarity, and expertise in backend systems, databases, integrations, and engineering best practices.

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.

Provides hands-on technical leadership for software design, development, testing, deployment, architecture, and production operations. Leads architectural decisions, code reviews, root-cause analysis, cloud-native and serverless implementation, CI/CD improvements, and system reliability. Applies AI-assisted engineering practices, evaluates AI outputs, integrates AI services, and promotes responsible AI adoption. Mentors engineers, drives technical initiatives, and owns end-to-end system outcomes across teams.

Develop and evaluate advanced signal processing, optimization, and machine learning algorithms for radar, electronic warfare, and remote sensing applications. Responsibilities include algorithm research, implementation, modeling and simulation, system integration, laboratory and field testing, technical presentations, customer collaboration, and transitioning research into operational prototypes.

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.

Drives performance engineering and DevOps for a financial services platform. Designs load-testing strategies, Kubernetes-based testing infrastructure, CI/CD pipelines, cloud environments, resiliency solutions, and microservices deployments. Leads release certification, compliance automation, observability, database change management, and performance engineering standards across multiple applications. Mentors global engineers and supports Agile, TDD, and BDD practices.

Leads and grows software development teams building next-generation data products. Responsibilities include recruiting, training, career development, mentoring engineers, improving development processes, promoting software quality, and evaluating technologies for scalability. The role requires leadership in Agile/Scrum environments, strong software engineering expertise, and experience with automation, testing, modern architectures, and potentially large-scale data engineering.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

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.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Develop and test embedded software and firmware for Bose audio products, prototypes, and engineering tools. Responsibilities include writing C/C++ and Python code, integrating software with embedded hardware, creating automation tools, debugging and benchmarking embedded systems, validating performance, documenting work, and collaborating with software, DSP, acoustics, systems, and hardware engineers.

Develop and enhance full-stack applications supporting BlackRock’s Alternatives Investments business. Responsibilities include contributing to Java, SQL Server, React, and TypeScript codebases; designing scalable microservices; participating in architecture and code reviews; building reliable components; improving application resiliency; testing software; and collaborating with cross-functional engineering teams using Agile 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.

Develops and maintains backend services, internal tools, and agentic workflows for Microsoft 365 air-gapped government clouds. Responsibilities include writing maintainable code, supporting scalable distributed systems, monitoring live services, participating in on-call incident response, improving reliability and automation, collaborating across teams, and incorporating customer requirements. The role requires an active U.S. Government TS/SCI clearance with polygraph and U.S. citizenship verification.

Design, build, and operate reliable, scalable services across the C+E stack. Automate operations with scripts and CI/CD, use telemetry to detect trends, perform root cause analysis, support dedicated cloud environments, and collaborate across teams to ensure security, compliance, and operational excellence.

Designs, operates, and secures enterprise LAN, WAN, Wi-Fi, VPN, SD-WAN, firewall, and collaboration environments. Supports Zoom, Microsoft Teams, Poly conference rooms, voice services, and global connectivity. Owns conference room readiness, acceptance testing, incident resolution, documentation, standards, and runbooks. Automates repeatable infrastructure work using Python, CLI, APIs, and AI tools while partnering with business leaders, workplace teams, technical staff, and vendors.

Leads enterprise workflow modernization and architecture while designing scalable AI solutions, distributed systems, integrations, and digital products. Establishes technical standards, governance, responsible AI practices, and AI-enabled SDLC improvements. Partners with product, design, architecture, security, operations, and business teams to deliver secure, resilient workflow experiences. Provides hands-on technical leadership, mentorship, modernization strategy, and guidance on enterprise AI investments.

Administers and maintains AT&T’s 24/7 Linux-based network cloud infrastructure. Responsibilities include deploying software, firmware, and OS updates; managing OpenStack and Kubernetes environments; monitoring and troubleshooting server infrastructure; restoring services during outages; implementing changes; supporting CI/CD pipelines; coordinating with vendors and technical teams; and performing hardware break/fix operations.

Designs, implements, and manages enterprise observability platforms for metrics, logs, traces, and alerting across large-scale cloud environments. Responsibilities include applying SRE practices, supporting distributed tracing and structured logging, managing monitoring tools, defining SLOs, participating in incident management, optimizing observability costs, and supporting regulated environments.

Develop high-performance algorithmic trading, pricing, risk management, and market data systems. Responsibilities include building low-latency platforms, backtesting frameworks, analytics and P&L solutions, optimizing performance and concurrency, collaborating with quants and traders, and supporting production reliability.

Designs, builds, and maintains Terraform infrastructure-as-code foundations for cloud and hybrid environments. Responsibilities include creating reusable modules, managing Terraform state and workspaces, hardening CI/CD pipelines, enforcing policy-as-code, and standardizing infrastructure delivery across cloud providers. The role requires strong scripting, cloud networking, identity and security knowledge, Git workflows, and experience managing infrastructure at scale.

Designs, automates, and operates large-scale distributed systems to improve availability, performance, and reliability. Responsibilities include Linux systems administration, Kubernetes and container operations, observability, CI/CD pipeline development, production troubleshooting, automation tooling, SLO and error-budget implementation, capacity planning, chaos engineering, cloud infrastructure, and service mesh operations.

Provides principal-level leadership across FinOps, cloud optimization, reliability engineering, and AI-driven automation. Designs secure, scalable solutions across Azure, AWS, Kubernetes, and hybrid clouds; develops cost optimization and governance workflows; automates operations with scripting, infrastructure as code, CI/CD, and event-driven services; advances observability, incident prevention, and operational readiness; builds executive dashboards; leads technical initiatives, proofs of concept, production adoption, and engineer mentoring.