Top Remote Python Jobs in Atlanta, GA

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Lead QA for backend and distributed systems: design test strategies, automate API and backend tests, validate databases and message-driven workflows, test high-concurrency and fault-tolerant scenarios, integrate CI/CD, monitor production, debug incidents, and drive QA best practices and AI-assisted testing improvements.

Leads enterprise cloud infrastructure architecture and strategy across Azure, AWS, GCP, and hybrid environments. Establishes standards for security, reliability, observability, disaster recovery, identity governance, automation, and cost optimization. Drives cloud modernization, migrations, SaaS and AI integrations, and Infrastructure as Code practices. Acts as a principal technical authority, conducting design reviews, resolving complex cross-platform challenges, mentoring engineers, evaluating technologies, and aligning business and security requirements with scalable solutions.

Designs and manages scalable GCP platforms for enterprise applications including Netcracker, Alepo, and Axiros. Responsibilities include developing Terraform infrastructure, CI/CD pipelines, upgrade automation, internal developer platforms, incident management, root cause analysis, performance optimization, rightsizing, and security guardrails. The role supports cross-functional engineering teams and participates in on-call rotations to maintain high service availability.

Leads DevOps and application operations for critical enterprise applications. Responsibilities include production reliability, SLO and SLA management, incident response, release and deployment operations, observability, automation, capacity planning, disaster recovery, security compliance, performance optimization, stakeholder service reviews, and mentoring AppOps engineers. The role supports 24x7 reliability through on-call participation and cross-functional collaboration with engineering, cloud, security, and compliance teams.

Own operational excellence for cloud infrastructure: run incident management, improve reliability through automation, own a platform domain (e.g., Kubernetes, Temporal, observability), manage vendor and cost relationships, and deliver measurable reductions in incidents and costs within 12 months.

Leads and develops a 5–10-person software engineering team, sets technical strategy, guides architecture and API design, and partners with product, design, data science, and business stakeholders. Owns product delivery, reliability, observability, incident response, security, automation, testing, continuous delivery, and operational health while hiring talent and fostering an inclusive, high-performing team culture.

Design, implement, and secure scalable cloud infrastructure across AWS and OCI; manage CI/CD (GitHub Actions), Kubernetes and ECS clusters (including GPU workloads); integrate observability (Datadog, Grafana, OpenTelemetry, Sentry); enforce security and compliance (SOC2, ISO 27001); handle DevOps/SRE intake, vulnerability response, and migrations from EKS to OKE.

Leads end-to-end healthcare integrations between the company’s platform and hospital EHRs, including architecture, interface development, data mapping, validation, testing, go-live, monitoring, and production support. Advises senior health system stakeholders, troubleshoots HL7 and FHIR interoperability issues, improves integration automation, manages incidents, and influences platform strategy. Requires deep HL7v2, interface engine, database extraction, FHIR, SQL, security, and healthcare interoperability expertise, plus strong client communication.

Develop and optimize path planning, trajectory generation, and motion controllers for heavy-payload autonomous mobile robots. Integrate localization and perception, validate sim-to-real behavior, implement obstacle avoidance and safety behaviors, analyze field telemetry, and collaborate across hardware, perception, and cloud teams to deploy reliable navigation in production.

Own the hardware-software interface for production robotic platforms: develop sensor and actuator drivers, manage communication buses and Linux configurations, integrate new hardware, monitor system health, build edge/cloud device management, and support field-deployed robots through diagnostics and validation.

Own and ship the perception stack for autonomous mobile robots, integrating LiDAR, cameras, IMUs and other sensors. Design detection, segmentation, localization, mapping, and sensor-fusion pipelines; build datasets and CI/CD for perception models; debug deployed systems on-site; collaborate with navigation, controls, and hardware teams to deliver reliable production performance in real freight facilities.

Define architecture and technical direction for Catalyst’s distributed data platform, including messaging, state management, reconciliation, streaming, storage, CI/CD, and Kubernetes operations. Build Go and Python frameworks, improve reliability and SLOs, lead incident response, maintain secure dependency and artifact delivery, and develop infrastructure automation. Collaborate across teams and with customers, review designs and code, establish engineering standards, and travel internationally up to 25% to support mission-critical deployments.

Leads and mentors Field Engineers responsible for secure software integrations and deployments into customer-owned, hybrid, tactical-edge, and disconnected environments. Provides technical direction on deployment architecture, automation, tooling, networking, infrastructure, monitoring, and operational reliability. Oversees readiness, documentation, compliance alignment, customer deployments, demonstrations, mission events, and post-deployment improvements while partnering across Engineering, Product, Security, and Mission Operations.

Design, develop, and operate monitoring and observability solutions for flagship supercomputers. Build data pipelines to process large telemetry and logs, respond to incidents, implement mitigations, write postmortems, and improve reliability, performance, and operational runbooks at scale.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

As a Senior Engineer, you will develop and maintain backend applications using Go, Python, and Java, influence team culture, mentor colleagues, enforce processes, and work on innovative technology solutions in civic healthcare.

Design, develop, and maintain scalable web and backend applications, public REST APIs, automated testing frameworks, and cloud-native services. Improve scalability, stability, monitoring, auto-scaling, CI/CD, security, and reliability. Conduct code reviews, troubleshoot production issues, document root causes and operational procedures, and collaborate with distributed engineering teams to deliver fleet-management platforms.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, GPUs, PCIe, firmware, drivers, and software. Develop automation, telemetry, diagnostics, playbooks, and escalation frameworks to improve observability, operational readiness, and mean time to mitigation for large-scale AI and HPC workloads.

Design, build, and operate core platform infrastructure on AWS using Terraform and Kubernetes. Own end-to-end projects, CI/CD pipelines, observability, security best practices, and production reliability while contributing to architecture decisions, documentation, runbooks, and mentoring. Participate in on-call rotation and automate recurring work.

Lead a software engineering pod while contributing hands-on code to build and scale SaaS platform features. Responsibilities include architecture and technical design, production development, code reviews, troubleshooting, planning, mentoring, cross-team collaboration, AI-assisted development, and ensuring maintainable, secure, scalable, high-quality delivery.

Deploys, hardens, troubleshoots, and modernizes Windows and .NET applications across on-premises environments and AWS. Responsibilities include Terraform infrastructure, CI/CD pipelines, SQL Server and Amazon RDS administration, load balancing, WAF configuration, observability, certificate management, automation, migrations, incident response, documentation, and collaboration with application owners. The role is remote but requires weekly onsite availability in Rockville, Maryland, and may involve occasional after-hours maintenance or outage troubleshooting.

Designs and delivers secure, scalable cloud solutions across AWS and Azure for application, data, scientific, and research workloads. Partners with customers to translate requirements into architectures, develops Terraform infrastructure and automation, integrates DevOps and CI/CD capabilities, and manages solutions through implementation and transition to operations. Responsibilities include cloud networking, identity, security, monitoring, backup and recovery, troubleshooting, documentation, technical reviews, and collaboration within an Agile Cloud DevOps team.