Top Remote Python Jobs in San Diego, CA

A 10-week remote summer internship program offering team placements across software engineering, data science, support, and services. Interns complete daily responsibilities and a capstone project, collaborate with experienced professionals, attend workshops and networking events, and contribute to meaningful business priorities. Candidates must be enrolled undergraduates with strong analytical and technical skills, familiarity with programming or databases, knowledge of AI tools, and effective communication and teamwork abilities.

Designs, operates, secures, and improves enterprise OpenShift and Kubernetes platforms across hybrid-cloud environments. Responsibilities include cluster lifecycle management, automation, troubleshooting, observability, resiliency, security controls, disaster recovery, developer self-service, incident response, documentation, and technical leadership. The engineer independently leads complex platform initiatives, collaborates across infrastructure and security teams, mentors engineers, and participates in on-call support.

Ensure reliability, scalability, and usability of network infrastructure for Akamai Connected Cloud. Define requirements and SLOs, build automation and CI/CD pipelines, collaborate with dev/QA to improve code and stability, troubleshoot complex network issues (on-call), and mentor teammates while driving architectural standards.

Lead end-to-end deployment and operation of cloud infrastructure and Symmetri environments for US customers. Provision, configure, monitor, maintain, upgrade, and troubleshoot cloud, single-tenant, on-premises, and air-gapped environments. Manage Kubernetes, networking, IAM, infrastructure as code, resource planning, incident response, runbooks, and root-cause analysis. Represent the company in customer security reviews and help establish US deployment and operations standards and teams.

Leads the architecture, delivery, and operational excellence of healthcare data integrations across systems and vendors. Designs APIs, integration patterns, and interoperability solutions using HL7, FHIR, and X12; manages end-to-end delivery, testing, migrations, monitoring, and troubleshooting. Advises clients and stakeholders, establishes technical standards, drives governance and alignment, and communicates risks and recommendations to leadership. The role also develops runbooks, supports regulated environments, and improves integration reliability and scalability.

Supports autonomous robot deployments in hospital environments through site readiness, configuration, mapping, testing, troubleshooting, and go-live support. Investigates issues across robots, Linux systems, networks, cloud services, databases, and integrations using logs and telemetry. Works with customers and cross-functional teams, contributes to documentation and playbooks, supports escalations, and improves deployment and support processes. The role requires 20–40% travel and offers broad early-career exposure to robotics, healthcare technology, and field operations.

Develop and optimize payment platforms for performance, reliability, security, fraud prevention, and seamless recurring transactions. Build payment APIs and gateway integrations, improve processing latency and throughput, monitor platform health, troubleshoot incidents, and ensure compliance with payment industry standards. Collaborate with security, payment providers, and cross-functional teams while maintaining high-quality documentation and resilient payment workflows.

Own customer data integrations for hospital systems and suppliers. Lead technical discovery, design and operate production data pipelines, troubleshoot live integration issues, build reusable connectors, and document support processes. Partner with product and engineering teams to improve the platform while communicating risks and timelines to technical and non-technical stakeholders. The role requires strong Python and SQL skills, production integration experience, customer-facing communication, and comfort working in ambiguous environments.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Design, implement, and optimize 5G NR gNB PHY layer algorithms and real-time signal processing on DSP/FPGA/GPU. Integrate PHY with RF front-end, maintain 3GPP compliance, perform unit/integration testing, debug and tune performance, and mentor junior engineers.

Build and own production entity-resolution capabilities, including blocking, candidate generation, pairwise scoring, clustering, threshold policies, deduplication, and known-entity checks. Develop provenance systems for traceable, explainable graph relationships and matching decisions. Evaluate matching performance, document implementation logic, and balance false merges against false splits. Work remotely with occasional travel while supporting government mission applications.

Own database performance, reliability, observability, migrations, capacity planning, backups, and recovery for a distributed CockroachDB environment. Diagnose query, indexing, schema, contention, and transaction issues; guide database design and changes; support incident response; improve operational practices; and mentor engineers across infrastructure, platform, and application teams.

Build and modernize Carrum Health’s data platform by developing Python and SQL pipelines, AWS services, Terraform infrastructure, dbt transformations, observability, testing, and CI/CD. Automate carrier integrations, reduce operational toil, improve reliability, and support Databricks adoption. Extend AI-assisted ingestion and classification using Bedrock and collaborate across engineering, analytics, data science, and client-facing teams. The role includes production ownership, incident response, technical documentation, and healthcare data platform development.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Develop and support enterprise full-stack applications using Java, Spring Boot, Python, React, and cloud technologies. Build secure APIs, microservices, integrations, chatbot interfaces, and conversational UI features. Deploy cloud-native applications with Azure or AWS, Docker, and Kubernetes while contributing to CI/CD, testing, monitoring, security, and architecture. Collaborate with product, engineering, architecture, and business teams in an agile environment.

Build and operate Python backend services, REST APIs, clinical data models, and batch or event-driven pipelines. Work with FHIR and HL7 healthcare data to support reliable integrations, reporting, analytics, and AI workflows. Establish data quality, validation, governance, lineage, monitoring, and auditability practices. Lead architectural discussions, review implementations, mentor engineers, and collaborate with clinical, product, analytics, and AI teams.

The Senior Solutions Engineer supports technical implementation and advisory for complex customer integrations, ensuring successful onboarding and troubleshooting while collaborating with cross-functional teams.

Serve as Vida’s first dedicated Site Reliability Engineer, modernizing Terraform, standardizing environments, improving CI/CD, scaling GCP and Kubernetes infrastructure, upgrading databases and runtimes, and strengthening monitoring, observability, security, and operational processes. The role includes building runbooks, on-call and escalation procedures, supporting enterprise launches, managing infrastructure costs, and evaluating multi-cluster Kubernetes architecture in a fully remote environment.

Develop and verify firmware for battery safety, fuel gauging, charging, thermal management, power management, USB-C, and embedded Linux systems. Build automated battery test fixtures, analyze fleet-wide metrics, diagnose returned products, profile battery runtime, and collaborate with electrical engineers and vendors. Create test plans, design documentation, and failure analyses while reviewing AI-assisted code and mentoring teammates.

You will architect and build cloud infrastructure, optimize systems, evolve CI/CD pipelines, manage infrastructure, and mentor engineers, focusing on AI-driven solutions.

Develops wafer-level photonic integrated circuit burn-in and test solutions for R&D and high-throughput production. Responsibilities include designing validation test plans and algorithms, developing hardware and software with vendors, qualifying test stations, applying Gage R&R and SPC, troubleshooting complex systems, automating instrumentation and data acquisition, analyzing results, and documenting solutions for cross-functional teams.

Leads design verification and performance validation testing for high-speed coherent and direct-detect optical components and subsystems. Develops test plans, algorithms, hardware, and software for optoelectronic characterization and instrument automation. Collaborates with PIC, ASIC, module design, and systems engineering teams to release new products. Troubleshoots complex test environments and produces detailed technical documentation.

Designs and automates electrical and optical performance validation tests for photonic integrated circuits and subassemblies. Develops test hardware, software, motion and vision control systems, and production-level test stations. Performs station qualification, Gage R&R, SPC, documentation, troubleshooting, data analysis, and cross-functional communication while tracking test development schedules and milestones.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.