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Search Solutions
Staff Software Engineer - Cloud / Data
Search Solutions · Los Angeles, CA, United States · via ZipRecruiter
5 hours ago
$1.4L–$1.6L a year
Full–time
No Degree Mentioned
Apply directly on ZipRecruiter
Apply on Talents By Vaia
Job highlights
Identified by Google from the original job post
Qualifications
10+ years of Software/Data Engineering experience, with a proven history of leading technical teams
Proven track record of designing and building production-grade AI data systems
Technical Stack: Advanced Python (FastAPI, Pydantic, SQLAlchemy) and SQL mastery for building scalable microservices
3 more items(s)
Responsibilities
Acting as a hands-on leader, you are responsible for the team’s overall delivery, translating complex product requirements into actionable technical tasks for a small engineering squad
You will design the multi-modal data stores (Vector and Graph) that serve as the "Active Memory" for autonomous agents while remaining deeply embedded in the codebase to drive execution
Technical Execution: Lead the technical delivery by translating high-level product roadmaps into actionable development cycles
7 more items(s)
Job description
The Sr. Staff Software Engineer - Cloud Data will be the primary architect and technical lead for the data infrastructure powering our next-generation Agentic AI products. Acting as a hands-on leader, you are responsible for the team’s overall delivery, translating complex product requirements into actionable technical tasks for a small engineering squad. You will design the multi-modal data stores (Vector and Graph) that serve as the "Active Memory" for autonomous agents while remaining deeply embedded in the codebase to drive execution.
Key Responsibilities
● Technical Execution: Lead the technical delivery by translating high-level product roadmaps into actionable development cycles. You will own the task breakdown and manage the workflow to ensure high-quality output from the team
● Strategic Data Architecture: Architect and directly implement multi-modal data pipelines that process structured parts catalogs and unstructured sources (PDFs, Word, PNG/SVG diagrams) into specialized Vector and Graph data stores.
● Knowledge Layer Development: Design and optimize the storage of embeddings in Vector Databases (e.g., Pinecone, ChromaDB, Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic reasoning across disparate data sources.
● Agent-Driven Development: Deeply integrate autonomous coding agents into your daily workflow to plan, generate, and refactor data infrastructure and microservices.
● Evaluation Pipelines: Collaborate with AI Engineers to build "Gold Dataset" pipelines used for the automated verification, retrieval quality measurement, and "confidence scoring" of AI outputs.
● Microservices: Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to provide structured, validated data.
● Cloud Operations: Deploy and monitor high-scale data workloads on GCP (Vertex AI, BigQuery), ensuring system reliability, security, and cost-effectiveness
Skills and Experience
10+ years of Software/Data Engineering experience, with a proven history of leading technical teams.
Proven track record of designing and building production-grade AI data systems.
Technical Stack: Advanced Python (FastAPI, Pydantic, SQLAlchemy) and SQL mastery for building scalable microservices.
AI: Hands-on experience with Vector Databases (Pinecone, ChromaDB), RAG pipelines, and GraphRAG patterns.
Data Tooling: Deep experience with Prefect (preferred) or Apache Airflow or Cloud Composer, BigQuery, and DataProc.
Cloud Infrastructure: Experienced in working with cloud platforms (GCP, AWS) and deploying data workloads and pipelines at scale.
Coding Agent: Demonstrated proficiency in using coding agents to accelerate the SDLC and plan and code complex engineering tasks.
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EY
Managed Services - AI-Native Software Engineer - Senior Consultant
EY · Los Angeles, CA, United States · via LinkedIn
9 hours ago
Full–time
Apply on LinkedIn
Job highlights
Identified by Google from the original job post
Qualifications
Non‑functional architecture & reliability
Architect solutions that transition cleanly into long‑term managed operations
Skills And Attributes For Success
12 more items(s)
Benefits
Hands‑on ownership of complex, AI‑forward digital products and platforms
Flexible work arrangements within a collaborative, inclusive culture
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences
7 more items(s)
Responsibilities
This role is for a hands‑on Solution Architect who designs, prototypes and builds modern, AI‑enabled applications and digital products
You will spend the majority of your time designing architectures, writing and reviewing code, building proofs‑of‑concept, and guiding engineering teams through complex technical decisions
This position emphasizes technical depth, engineering judgment, and architecture ownership across build‑and‑run engagements in Digital Engineering Managed Services
23 more items(s)
Job description
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
This role is for a hands‑on Solution Architect who designs, prototypes and builds modern, AI‑enabled applications and digital products. You will spend the majority of your time designing architectures, writing and reviewing code, building proofs‑of‑concept, and guiding engineering teams through complex technical decisions. This position emphasizes technical depth, engineering judgment, and architecture ownership across build‑and‑run engagements in Digital Engineering Managed Services.
Your key responsibilities
Hands‑on solution architecture & design
• Design end‑to‑end application architectures across UI, APIs, services, data, AI components, integrations and runtime platforms.
• Actively prototype and spike solutions (code, configs, pipelines, prompts) to validate architectural decisions early.
• Define and evolve reference architectures for AI‑enabled products, including RAG patterns, vector search, prompt orchestration, evaluation and guardrails.
💡 Quick Summary
Seeking a career-building opportunity? The Managed Services position is now open for candidates interested in the Software Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
