Top Tech Jobs & Startup Jobs in Sacramento, CA

Designs and manages training initiatives for behavioral health providers. Responsibilities include conducting needs analyses, applying instructional design models, translating clinical protocols into scenario-based learning, developing Articulate 360 courses and multimedia, using generative AI responsibly, creating assessments, performing quality assurance, analyzing feedback, and managing project timelines.

Lead the technical vision and development of Placer.ai’s AI-powered location intelligence platform. Build full-stack conversational AI features, including LLM integrations, retrieval, agents, tool-calling, streaming interfaces, evaluations, monitoring, and security controls. Translate ambiguous requirements into scalable production systems, make architecture decisions, collaborate with product, design, and customers, and improve engineering practices through code reviews, testing, and AI-assisted development.

Leads SOX compliance and controls transformation across business, finance, accounting, and application technology functions. Responsibilities include risk assessments, control documentation, control design and remediation, audit coordination, walkthroughs, testing, fraud risk controls, process improvement, and stakeholder training. The role serves as a subject matter expert with independent judgment and supports controls for ERP, billing, CRM, revenue recognition, and customer contract systems.

Designs and delivers production-grade enterprise AI solutions using LLMs, RAG, agentic AI, MCP, and Azure. Translates business needs into secure, scalable architectures; establishes AI engineering standards, evaluation, observability, and guardrails; leads architecture and code reviews; mentors AI, software, and data engineers; evaluates emerging technologies; and supports client workshops, demonstrations, solutioning, and presales.

Build and deploy production-grade generative and agentic AI applications using Python or JavaScript/TypeScript, LangChain, LangGraph, RAG, vector databases, Docker, Kubernetes, and cloud platforms. Develop workflows, integrations, evaluation pipelines, observability, security controls, and CI/CD processes. Optimize quality, performance, reliability, and cost while supporting production operations. Collaborate with architects, engineers, security teams, customers, and stakeholders; create documentation, participate in reviews, mentor engineers, and communicate technical tradeoffs.

Own and scale application security across Redpanda’s C++ engine, Go control plane, Console, and Rust/Go SDKs. Responsibilities include threat modeling, secure design reviews, SAST/SCA/DAST, fuzzing, secure code review, PSIRT and vulnerability disclosure, software supply-chain security, security release gates, and security champions. The role partners closely with engineering to improve secure development practices, address vulnerabilities, and protect authentication, authorization, encryption, audit logging, and multi-tenant isolation.

Architect and build production-grade multi-agent AI systems, agentic workflows, RAG solutions, tool libraries, memory systems, and evaluation frameworks. Deploy scalable, low-latency solutions across AWS, GCP, or Azure using MLOps, CI/CD, observability, and infrastructure automation. Integrate and optimize LLMs, implement monitoring and safety controls, establish performance metrics, and lead technical delivery while mentoring team members and communicating complex AI concepts to stakeholders.

Provides phone, chat, email, and portal support for EverHealth SaaS healthcare applications. Diagnoses application, workflow, and configuration issues; guides customers on best practices; documents interactions; escalates complex problems; collaborates with internal teams; contributes product feedback and knowledge-base content; and meets customer satisfaction, quality, productivity, and SLA goals.

Leads the strategy, architecture, and operation of Demandbase’s internal developer platform and cloud infrastructure. Responsibilities include Kubernetes platform management across AWS and GCP, CI/CD and GitOps, infrastructure as code, service mesh, observability, FinOps, security, incident response, and AI-assisted development workflows. The role sets organization-wide technical standards, authors architecture guidance, leads major incidents and postmortems, and mentors senior engineers across teams.

Implement and operate multi-region AWS database infrastructure for a Tier-1 payments platform. Responsibilities include DynamoDB Global Tables replication, failover and failback automation, Terraform or CDK infrastructure, observability, disaster recovery testing, KMS and IAM configuration, CDC pipelines, data migration cutovers, and application resilience patterns. The role also requires runbook and design documentation, collaboration with data, SRE, and application teams, and support for regulated financial-services workloads.