Top Python Jobs in Atlanta, GA

Lead hands-on development and architecture for edge computing solutions, including Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. Drive cloud and hybrid architecture, architecture reviews, observability, security, reliability, and operational excellence while mentoring engineers and influencing cross-functional teams.

Leads the design and delivery of edge computing solutions, including distributed architectures, Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. The role also guides architecture reviews, cloud and hybrid scalability, security, observability, reliability, and engineering best practices while mentoring engineers and influencing cross-functional teams.

Lead hands-on development and architecture for edge computing solutions, including Kubernetes deployments across distributed cloud environments, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and platform enablement. Own architecture patterns for disconnected environments, participate in architecture reviews, improve security and observability, establish engineering best practices, mentor engineers, and collaborate with product, infrastructure, and platform teams.

Lead the design and delivery of edge computing solutions using Python, Kubernetes, Ansible, distributed cloud platforms, and IoT technologies. Define architecture patterns for disconnected environments, build scalable cloud and hybrid deployments, automate distributed edge operations, and improve platform engineering through reusable workflows and deployment guardrails. Participate in architecture reviews, establish engineering best practices, mentor engineers, and ensure solutions are secure, observable, resilient, and production-ready.

Owns AeroVect’s on-prem garage infrastructure supporting autonomous vehicle operations. Responsibilities include configuring servers and networking equipment, deploying software to autonomous tractors and edge devices, building C++ and Python data-processing pipelines, managing vehicle telemetry and image ingestion, maintaining operator-facing tools, monitoring infrastructure reliability, and automating deployment and operational workflows. The role collaborates with cloud infrastructure teams and supports active airport deployments.

Lead software engineering teams in designing, developing, testing, and delivering enterprise applications. Responsibilities include consulting with Fortune 500 clients, managing projects, gathering requirements, architecting solutions, coding, presenting findings, mentoring junior developers, and using cloud, AI, machine learning, IoT, and modern software technologies. The role follows an agile, collaborative approach and operates in a hybrid model.

Design and maintain automated test frameworks for APIs, web applications, databases, integrations, and distributed systems. Develop production-quality test code, validate data with SQL, integrate automation into CI/CD pipelines, analyze failures, and support exploratory and release testing. Partner with engineering and product teams on quality strategy, improve testability and coverage, mentor quality engineers, and reduce repetitive manual regression through maintainable automation.

The SDN Automation Engineer designs, deploys, and manages software-defined networking solutions, focusing on automation, scalability, and operational efficiency in enterprise and cloud environments.

Lead enterprise architecture for Salesforce and related technologies, translate business requirements into scalable technical solutions, design physical and logical architectures, validate vendor designs, oversee integration, ensure alignment with enterprise roadmap, mentor teams, and partner across technology, operations, digital, and data to manage risk, compliance, and security.

Enhance production-system stability, performance, scalability, and reliability through observability, automation, Kubernetes operations, and AWS infrastructure management. Define and monitor SLIs, SLOs, and SLAs; manage incidents, on-call response, troubleshooting, root-cause analysis, and post-incident remediation. Improve CI/CD production readiness, secrets management, and application resilience while documenting runbooks and operational procedures.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.

Lead the design and evolution of Invesco’s enterprise Azure cloud platform, including architecture, landing zones, automation, governance, security, observability, and developer self-service. Drive Infrastructure as Code, CI/CD, GitOps, Kubernetes, cloud modernization, and Generative AI adoption. Advise application and infrastructure teams, improve operational reliability and engineering productivity, lead strategic initiatives, establish technical standards, and mentor engineers across the organization.

Develop and lead full-stack applications delivering analytics and machine learning insights. Build responsive React interfaces, Python or Node.js backend services, APIs, data integrations, dashboards, and visualization components. Ensure secure, scalable, performant cloud deployments, preferably on Azure. Use AI-assisted coding tools, contribute to architecture, review code, and mentor or coordinate contractors and interns while collaborating with product managers, data scientists, and business stakeholders.

Build and deploy production Data 360 implementations in enterprise customer environments. Develop ingestion pipelines, data models, identity resolution, retrieval systems, vector search, and AI-agent integrations. Write SQL and application code, test at scale, troubleshoot data and API issues, enforce security, and support production handoffs. Partner directly with customers, architects, developers, and implementation teams while documenting reusable scripts, tests, metadata, and runbooks.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Build and operate a multi-tenant, cloud-native SaaS platform supporting Kubernetes microservices. Develop production-grade platform tooling, CI/CD automation, GitHub governance, GitOps deployments, infrastructure as code, observability, and reliability practices. Debug issues across Kubernetes and Spring Boot application layers, implement secure progressive delivery, define SLOs, support incident response, and mentor engineers on platform and DevOps practices.

Own and administer the Snowflake platform supporting data, dashboards, and AI workloads. Manage security, RBAC, governance, data protection, environments, resilience, performance, reliability, FinOps, automation, and CI/CD. Operate AWS integrations, sharing, replication, backup, and recovery capabilities; troubleshoot platform and pipeline issues; maintain documentation and runbooks; establish standards; enable engineering teams; and oversee distributed Snowflake administration resources.

Performs software and system safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, freedom-from-interference, and code-level hazard evaluations. Derives and traces safety requirements, defines fail-safe mechanisms, reviews safety-critical C++ and Python code, supports safety-case development, and collaborates with robotics, hardware, systems, software, and test teams to verify compliance and enable airport deployment.

Stand up and lead an AI-forward software engineering practice delivering Flexi’s next-generation web platform. Hire and develop engineers, define architecture, contribute hands-on to coding and reviews, establish engineering standards, and oversee delivery, cloud infrastructure, performance, security, reliability, CI/CD, observability, and cost optimization. Partner with the CTO and Product to integrate with existing C++ and C# systems and ship customer-facing enterprise software for regulated financial services environments.

Manage CI/CD pipelines, automate deployments, administer and troubleshoot WebLogic servers, and support Azure cloud deployments, resource management, and scaling. Implement infrastructure monitoring and troubleshooting protocols while collaborating with development teams to integrate DevOps practices. The role requires scripting and familiarity with Docker, Kubernetes, and monitoring solutions, with at least one day per week working in the office.

Leads board hardware design projects from requirements through schematic creation, simulation, layout coordination, validation, bring-up, debugging, and engineering changes. Collaborates with architects, product managers, mechanical and physical design engineers, signal integrity teams, firmware, validation, customers, and contractors. Designs high-speed PCBs and DC/DC regulator circuits, manages components and bills of materials, writes functional specifications and test plans, and supports multiple concurrent assignments.

Develops analytical tools, models, and testing scripts to assess operational processes, controls, compliance, and risk. Partners with process owners, data owners, risk managers, compliance teams, and technology groups to design tests, analyze results, identify issues, improve processes, and automate repetitive tasks. Reviews test builds and quality assessments, communicates findings to stakeholders, auditors, and regulators, and supports timely issue resolution and reporting.

Design, deliver, and maintain a highly available application platform. Build observability, define SLIs/SLOs, manage error budgets, reduce alert noise, automate operations and incident response, embed with product teams to catch reliability risks, and develop/integrate AI/LLM tools for operational intelligence and faster incident resolution.

Design, develop, and maintain end-to-end Azure integration solutions using API Management, Function Apps, Logic Apps, Service Bus, and related services. Build REST APIs, messaging workflows, data integrations, and automation using C#, Python, T-SQL, and Azure data services. Ensure scalability, security, compliance, testing, monitoring, and performance. Troubleshoot production issues, document solutions, collaborate with cross-functional stakeholders, and drive continuous improvement.

The role involves designing, coding, troubleshooting, and implementing complex software applications, particularly in Java and AWS environments. Candidates must have strong expertise in AWS and significant programming experience.