Top Remote Python Jobs in San Diego, CA

Design, develop, and secure blockchain solutions including smart contracts and DApps. Collaborate with teams to integrate, optimize performance, audit security, document projects, and provide technical support and training.

Design, develop, and maintain scalable full-stack applications for intermediary clearing and custody platforms. Collaborate with product, architecture, and engineering teams to modernize applications, implement cloud migrations, build APIs, automate workflows, and improve CI/CD, observability, security, and deployment practices in an Agile environment.

Define, design, and implement scalable, secure mobile and web application architectures. Lead technology decisions, mentor engineering teams, conduct architecture and code reviews, drive integrations, CI/CD, and cloud strategies, and enforce security, performance, and best practices across platforms.

Build and maintain polyglot full-stack applications, architect scalable microservices, implement agentic AI/LLM workflows, develop modern frontends, manage AWS cloud infrastructure, and own the full software lifecycle including deployment and production monitoring.

Lead systems analysis for complex integration initiatives in the brokerage/finance domain. Gather and document requirements, create user stories and process flows, evaluate system designs, provide middleware/API/backend technical analysis, mentor junior analysts, and drive resolutions across concurrent initiatives within an Agile environment.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

Design, develop, deploy, and maintain backend components and large-scale cloud-based systems. Write tests, perform code reviews, debug, and collaborate with cross-functional teams to build scalable APIs, microservices, and reliable production software in an agile environment.

Lead technical vision and architecture for Dockers Developer Tools: build a self-service internal platform, CI/CD and build systems, integrate AI/LLM agents, set SDLC tenets, establish standards for observability, security, reliability, and productize internal tooling into customer offerings.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Design, develop, and maintain scalable, secure backend services and APIs for a healthcare caregiver platform. Drive cloud-native modernization (microservices, serverless), ensure compliance (HIPAA, OWASP), troubleshoot production issues, optimize performance, mentor junior engineers, and collaborate with product and architecture teams to deliver reliable, high-performing solutions.

The GTM Engineer will enhance and manage enrichment infrastructure, scoring pipelines, and event tooling while writing production code and ensuring data accuracy within GTM operations.

As a Full-Stack Software Engineer, you'll build user-facing features, optimize GraphQL backend, and develop scalable systems, contributing significantly to the company's growth.

The Staff Integrations Engineer will lead the development and delivery of healthcare data integrations across various systems, ensuring performance and reliability while acting as a technical advisor for customers.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

As a Founding Software Engineer, you'll design, develop, and maintain robust backend systems, create user-facing AI features, and collaborate with teams to enhance healthcare tools.

The Founding Product Engineer will build and scale product features, enhance engineering productivity, and collaborate with a diverse team to improve healthcare using AI.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

The Senior Software Engineer II at Freenome will design and develop reliable backend services, mentor junior engineers, and collaborate with cross-disciplinary teams in a remote setting.

Lead 24x7 application support for external web applications: manage incidents, perform RCA, implement preventative fixes, build monitoring/alerts, expand Splunk functionality, create dashboards, collaborate with development and platform teams, and participate in on-call rotation.

Build and maintain the core backend product: design and implement features, take ownership of end-to-end outcomes, iterate and fix bugs without a QA team, collaborate with product on scoping, and contribute to company culture and hiring.

The Energy Engineer will integrate building automation systems data into Ameresco's platform, support on-site gateways, and ensure data quality while collaborating with stakeholders and customers.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.

Design, implement, and maintain AWS cloud infrastructure; modernize platform tooling and EKS footprint; optimize managed datastores; build self-service CI/CD, developer templates, and automation; enforce IAM/security controls and compliance; monitor performance and collaborate with engineering and ML teams.