Top Senior Python Jobs in Atlanta, GA

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

Build and maintain Bazel-based build, test, and packaging tools for a large monorepo. Improve CI performance and cost efficiency, run complex migrations, keep pipelines reliable, and contribute upstream to the Bazel ecosystem. Own projects end-to-end and collaborate with developers to improve tool usability and developer productivity.

Designs and maintains Azure, Microsoft 365, and hybrid cloud platforms, including landing zones, governance, monitoring, identity, networking, security, backup, resiliency, and cost controls. The role establishes engineering standards, automates configuration and onboarding, improves operational readiness, documents procedures, collaborates across infrastructure and security teams, and mentors engineers. Requires extensive Microsoft cloud administration and platform engineering experience.

Leads enterprise architecture and implementation of financial crime, risk, compliance, and regulatory data platforms. Modernizes legacy ecosystems using cloud-native and Databricks-based lakehouse architectures, develops data models, establishes governance and security standards, and partners with business, engineering, analytics, and risk teams. Evaluates emerging technologies, ensures scalable and resilient data services, and mentors technical teams.

Designs and automates software testing for business intelligence, data warehouse, reporting, and ETL projects. Develops SQL and Python validation routines, tests Snowflake and Microsoft SQL Server data, verifies SSRS, Tableau, and Sigma reports, and enhances Talend ETL test frameworks. Documents results, resolves data discrepancies with stakeholders, participates in Agile ceremonies, and mentors junior engineers.

Leads the development and analysis of manufacturing simulation, emulation, and digital-twin models. Optimizes throughput, capacity, line balancing, labor, equipment utilization, and production workflows using industrial engineering, Lean, and Six Sigma methods. Partners with engineering, automation, supply chain, and operations teams; supports new product introductions; evaluates capital investments; and presents recommendations to technical and executive stakeholders. The role is hybrid in Alpharetta, Georgia, with 30–50% travel.

Leads architecture, full-stack development, technical planning, code reviews, production issue resolution, and delivery for high-velocity engineering teams. Builds React, Flutter, Python, and Node.js applications using AWS serverless services, APIs, CI/CD, and infrastructure as code. Drives AI-assisted prototyping with Claude and Amazon Bedrock, establishes AI engineering practices, mentors engineers, and partners with product, architecture, and QA teams. Rotational on-call participation may be required.

Design, automate, operate, and improve Cargill's global SD‑WAN and WAN infrastructure (initially Versa). Lead network design, troubleshooting, security, maintenance, disaster recovery, performance monitoring, and develop automation tools and IaC for scalable, resilient networks.

Manage and automate AWS infrastructure across multiple accounts, build GitHub Actions CI/CD pipelines, deploy containerized services on ECS and Vercel, and maintain monitoring, security, networking, backups, and disaster recovery. The role also requires troubleshooting availability and performance issues, optimizing cloud costs, managing IAM and secrets, supporting compliance, coordinating vendors, and collaborating with distributed engineering teams.

Leads production incident response, root cause analysis, corrective actions, monitoring, observability, automation, and reliability improvements. Serves as Incident Commander during major incidents and partners with engineering, infrastructure, and product teams to resolve recurring issues. Provides leadership, coaching, and workload management for SRE, DevOps, and production support engineers while using operational metrics to drive continuous improvement.

Develops, deploys, and maintains complex responsive web applications, databases, APIs, and geospatial solutions for public health and federal government clients. Responsibilities include feature development, requirements analysis, database administration, scripting and automation, performance tuning, security configuration, user management, troubleshooting, documentation, and creation of interactive mapping products. The role follows Agile DevOps practices and requires collaboration with analysts, epidemiologists, business owners, and technical teams.

Lead enterprise solution architecture for complex distributed data systems. Analyze application and data landscapes, design scalable cloud solutions, define integration patterns and pipelines, optimize relational databases, and guide implementation across engineering teams. Provide technical leadership, architecture reviews, risk assessments, documentation, mentoring, and stakeholder collaboration while enforcing secure-by-design standards and leveraging Azure capabilities.

Build, integrate, test, and deploy healthcare technology prototypes and product extensions for strategic customers. Translate clinical and operational problems into measurable use cases, working software, and scalable product capabilities. Apply healthcare interoperability standards, AI-enabled workflows, secure SDLC practices, observability, automated testing, and responsible AI principles. Collaborate with customers, Product, Engineering, clinical, security, privacy, legal, and compliance teams to validate outcomes and convert field learnings into reusable APIs, connectors, architectures, and roadmap priorities.

Design, build, and maintain highly available application platforms with strong observability and reliability practices. Responsibilities include defining SLIs and SLOs, managing error budgets, improving alert quality, automating operational processes, reviewing architectures, and supporting incident response. The role also develops AI-assisted reliability tools using LLMs and machine learning for anomaly detection, root-cause analysis, and alert triage. It requires collaboration across engineering, operations, and product teams, along with technical knowledge sharing and leadership communication.

Lead architecture and implementation of Spring Boot microservices and cloud/serverless solutions. Own CI/CD and DevOps, design event-driven systems (SNS/SQS, EventBridge, Kafka), mentor engineers, drive cross-team technical direction, reliability, performance, and hiring/architecture standards across products.

Develop and maintain OpenBMC firmware features, support platform bring-up, porting, migration, integration, debugging, and upstream changeset adoption. Implement and validate management protocols and hardware interfaces, troubleshoot firmware-hardware issues, and collaborate with platform, hardware, and validation teams through testing and release activities.

Develop scalable, secure, high-performance software for a global telematics platform processing real-time vehicle and device data. Responsibilities include writing C# code, designing systems and APIs, reviewing code, troubleshooting performance and bugs, documenting technical solutions, mentoring junior developers, researching technologies, supporting technical issues, and participating in a 24/7 on-call rotation.

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, build, secure, and operate Microsoft's AdTech clean room infrastructure and privacy-safe data collaboration platform. Develop secure data ingestion, identity resolution, audience matching, measurement, activation, access controls, encryption, monitoring, and operational automation. Establish scalable architecture and reliability standards while partnering with Engineering, Privacy, Security, Data Engineering, Marketing, and external partners. Support regulated environments, compliance audits, incident investigations, and long-term platform strategy.

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.

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.

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.