Top Senior Software Engineer Jobs in Sacramento, CA

Lead the design, development, and architecture of scalable Salesforce solutions using Apex, Lightning Web Components, Flows, integrations, Agentforce, and Salesforce Data Cloud. Responsibilities include AI agent architecture, data ingestion and activation, security and governance, performance optimization, CI/CD support, code reviews, mentoring, troubleshooting, and translating business requirements into technical designs.

Provides technical leadership across multiple agile engineering teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include translating product requirements into scalable designs, writing and reviewing code, leading sprint teams, removing delivery impediments, mentoring engineers, collaborating with product managers, and guiding technical strategy. The role emphasizes microservices, cloud platforms, containerization, APIs, messaging, workflow orchestration, DevSecOps, observability, performance, security, and operational excellence.

Build and operate end-to-end, consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place vertical. Use AI-native and agentic workflows with LLMs, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and establish AI engineering practices adopted across the organization. Collaborate with product and design while ensuring performance, reliability, accessibility, and member-focused outcomes.

Develop and maintain high-scale JavaScript and TypeScript monetization solutions for publisher websites. Own Freestar’s Prebid.js and Prebid Server header-bidding wrapper, including architecture, adapters, modules, releases, and performance. Integrate with Google Ad Manager, GPT, IMA SDK, and programmatic advertising systems. Monitor Core Web Vitals, reliability, and network performance while reviewing code, resolving critical issues, and guiding technical decisions.

Own and evolve cybersecurity platform integrations, parser frameworks, data normalization, and microservice-based solutions. Design secure APIs, process security logs from diverse sources, and ensure ingested data supports detection and analytics. Drive architecture decisions, improve framework reliability, mentor engineers, and use AI tools to accelerate development, testing, parsing, automation, and operational workflows.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Build and scale infrastructure supporting an AI-driven healthcare platform. Responsibilities include CI/CD pipelines, Terraform-based infrastructure as code, Kubernetes and cloud infrastructure management, autoscaling, observability, capacity planning, cost optimization, developer tooling, automation, incident response, and security and compliance integration.

Build and scale Airbnb’s AirChatUI AI prototyping harness and native macOS/iOS applications. Lead architecture and implementation across web prototyping, iOS deployment, AI agent integrations, AirChat tooling, and Kyber platform integration. Develop declarative UI features, collaborate with infrastructure, product, security, and design teams, and establish scalable iOS patterns. Enable designers and product managers to create production-oriented prototypes while maintaining quality, accessibility, performance, availability, and release standards.

Develop and maintain semiconductor equipment automation and MES integrations using SECS/GEM, SEMI standards, Ignition, Python, REST APIs, and databases. Design equipment-to-host interfaces, station controllers, finite-state workflows, data collection, tags, and web or desktop applications. Validate MES processes, support SPC software, debug and host applications, and work with hardware and semiconductor manufacturing systems. The role also requires strong analytical, communication, leadership, project management, and application ownership skills.

Develop and operate reliable AI-powered backend systems for regulatory workflows. Translate customer problems into simple solutions, collaborate with Product and Design, write performant Python and Django code, and manage technical complexity across product projects. The role requires production Django experience, hands-on LLM integration without abstraction libraries, and the ability to move from experimentation through testing and production delivery.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Lead a small software engineering team supporting intelligence workflows. Build and maintain full-stack web applications, automate workflows, develop agentic AI tools, integrate data across agency elements, and support highside services. Engage directly with customers, leadership, analysts, and developers to understand mission needs, gather feedback, implement solutions, and deliver analytic and workflow support. Responsibilities also include relational database work, pipeline data processing, and cross-domain solution development.

Design and operate Go backend services for listing and settling prediction-market contracts. Lead migration from Python and Airflow, build provider data pipelines, reconcile events idempotently, and develop resilient settlement logic for failures and corrections. Establish engineering standards, make architecture decisions, mentor engineers, participate in on-call and incident response, and collaborate with trading, compliance, operations, and product teams.

Build and operate high-volume AWS data pipelines and bidirectional CRM integrations for educational fundraising systems. Design idempotent consumers, incremental synchronization, rate limiting, replay, migrations, monitoring, and partner-facing APIs. Collaborate with product, partner, data science, and CRM teams while improving AI-assisted engineering practices. Own major system components or end-to-end architecture, depending on level, and mentor teammates at the higher level.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Lead a portfolio company’s engineering function by writing production code, modernizing the software development lifecycle, coaching engineers, setting the product roadmap, and implementing AI-powered development and product capabilities. The role requires rapidly learning unfamiliar technology stacks, improving legacy codebases without rewrites, operating independently, and partnering closely with general managers, operators, and customers.

Lead development of full-stack, mission-critical products using Angular, React, Node.js, and AWS serverless technologies. Own projects from product definition through deployment, integrate GraphQL APIs and machine learning systems, improve developer experience and CI/CD, collaborate with clinicians and researchers, participate in customer discovery, and mentor engineers while shaping technical architecture and engineering culture.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Build and scale developer platform capabilities, AI-powered coding and review tools, CI/CD systems, Kubernetes infrastructure, and self-service developer workflows. Improve reliability, security, observability, and delivery speed through automation, reusable templates, guardrails, documentation, and incident-response practices. Collaborate closely with platform teammates, contribute to roadmap decisions, and communicate clearly about progress, blockers, and technical tradeoffs.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Build and operate Node.js and TypeScript backend services using durable workflows and AI-assisted development. Define service patterns, orchestrate migrations, maintain MCP and AI workflow tooling, and improve observability through metrics, alerts, dashboards, and tracing. Handle production incidents, contribute targeted frontend changes in React and Angular, and collaborate on architecture and code reviews in a fully remote environment.

Design, develop, and maintain provider-facing web portal microservices and highly available business applications. Collaborate with product managers and designers from ideation through deployment and maintenance, make technical decisions, conduct code reviews, mentor engineers, support QA, and contribute to compliance initiatives. The role involves modern and legacy technologies, AWS services, microservice and event-driven architectures, APIs, databases, front-end development, infrastructure as code, and secure handling of PHI.

Design and develop scalable, cloud-native APIs and a greenfield system replacing a legacy platform. Build production software using TypeScript, JavaScript, Node.js, React, GraphQL, REST, SQL, and automated testing. Contribute to architecture, performance tuning, reliability, Azure DevOps pipelines, and agile delivery while applying AI development tools and maintaining strong engineering standards.