Develop cloud-native software using Python, APIs, microservices, Docker, and Kubernetes. Design system architectures, deliver through Agile practices, and build AI agents and agentic workflows. Preferred work includes AI applications, LLM integrations, front-end development with React or Angular, data engineering, and MCP server development and integration.
Software Engineer
Must Have
Must Have
- API and microservices development
- Cloud-native application development
- System design and architecture
- Agile delivery experience
- Advanced Python Expertise
- Containerization and Kubernetes (Docker/Kubernetes)
- AI agent and agentic workflow development
- AI application development
- LLM integrations
- Front-end development (React/Angular)
- Data engineering experience
- MCP server development and integration
Zealogics LLC San Jose, California, USA Office
2880 Zanker Rd, San Jose, CA, United States, 95134
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain scalable full-stack software for ServiceNow’s AI Control Tower. Responsibilities include designing and implementing product features, writing Java and JavaScript code, developing automated tests, conducting code reviews, partnering with product teams, and delivering reusable, high-quality applications. The role spans JVM/Maven backend development, Node.js/TypeScript server-side rendering, REST APIs, databases, cloud technologies, and integrating AI capabilities.
Top Skills:
Ai ApisAi/MlCloud PlatformsJavaJavaScriptLlmsMavenNode.jsRelational DatabasesRestful ApisServicenow GlideSQLTypescriptUnix
Events • Food • Travel • Hospitality • Hotels & Resorts
Build and deploy generative AI solutions, including APIs, MCP servers, AI agents, LLM integrations, and full-stack applications. Develop scalable AWS cloud services, observability systems, evaluation pipelines, and production agent workflows. Collaborate with Product, UX, Security, Legal, and engineering teams to design interfaces, adapt AI tools to company codebases, and support customer experience and developer productivity use cases.
Top Skills:
AgentcoreAmazon BedrockAmazon EksAmazon ElasticacheAmazon S3AWSDatadogFastapiGitlabGuardrailsJenkinsLangchainMcpOpensearchPythonReactSplunkStrandsTailwind CssTesting LibraryTypescriptVitest
Artificial Intelligence • Cloud • Information Technology • Consulting
Designs, develops, tests, troubleshoots, and debugs systems software for packet forwarding, operating systems, networking, and related tools. Responsibilities include implementing enhancements, analyzing designs, writing code and test plans, debugging issues, documenting results, and collaborating with internal and outsourced engineering teams. The role requires C and C++ programming, Python-based testing, software systems design, multi-platform development, and strong communication skills.
Top Skills:
CC++DatabasesNetworkingOperating SystemsPythonRoutersSoftware Systems Testing
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
