Top Remote Python Jobs in San Diego, CA

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.

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.

Lead design and delivery of scalable, secure full‑stack features and services. Build maintainable front-end and backend code, implement integrations and data models, enable cloud-native CI/CD workflows, use containers and IaC, and act as a technical leader influencing architecture and delivery across teams while leveraging AI-assisted tools.

Design and deliver end-to-end full stack healthcare applications across UI, API, and data layers. Build secure, testable, cloud-native services, implement integrations and IaC, support CI/CD and monitoring, leverage AI-assisted tools, and mentor engineers while partnering with cross-functional teams.

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.

The Senior Site Reliability Engineer is responsible for architecting reliability strategies, implementing SRE frameworks, mentoring engineers, and ensuring system resilience and performance in government systems.

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.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

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.

Designs and delivers secure, scalable AWS and Azure cloud solutions for application and data workloads. Translates customer requirements into architectures, develops Terraform infrastructure-as-code modules, and integrates CI/CD, automation, networking, identity, security, monitoring, and recovery capabilities. Owns solutions from discovery through implementation and operational transition while collaborating with Agile Cloud DevOps, security, infrastructure, and application teams. Supports specialized scientific and research platforms and provides trusted technical consulting to customers.

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.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.