Top Tech Jobs & Startup Jobs in Seattle, WA

Design and operate query infrastructure for Salesforce’s globally distributed, multi-tenant platform. Develop algorithms for query generation, optimization, indexing, statistics, and execution; analyze production telemetry; build diagnostics and automation; and deliver safe, incremental rollouts. Own reliability, SLAs, SLOs, monitoring, and on-call support while troubleshooting issues across application, database, and infrastructure layers. Collaborate with database, runtime, platform, and application teams to improve performance and scalability.

Designs architecture for mission-critical enterprise products and services, establishing standards for scalability and reliability. Partners with business and technology leaders on technical roadmaps and product strategy, integrates AI components, develops architectural proofs of concept, mentors engineers, improves platform reliability, and participates in on-call support. The role requires extensive software development experience with distributed systems, cloud-native platforms, executive communication, and Agile product delivery.

Own and operate Salesforce’s Monitoring Cloud infrastructure at scale. Design Terraform and Kubernetes automation across AWS and GCP, productize monitoring components such as Grafana, support air-gapped deployments, manage upgrades and performance, participate in on-call operations, conduct root-cause analysis, and deliver resilient platform features. Use AI-assisted development tools for infrastructure coding, testing, documentation, incident response, and automation while retaining accountability for architecture, security, reliability, and customer outcomes.

Manage enterprise Salesforce Commerce Cloud customers as a trusted advisor and single point of accountability. Orchestrate Signature Success deliverables, renewals, expansions, feature adoption, platform optimization, and incident resolution. Build executive stakeholder relationships, translate technical concepts into business outcomes, coordinate cross-functional teams, and guide customers through Salesforce releases. Occasional customer-site travel and after-hours or weekend coverage may be required.

The Architect, Data Platform role involves designing and owning the data architecture for AgentExchange, overseeing data pipelines, analytics, migration, and ensuring data security while leading technical strategy and mentorship within the team.

Build and maintain tier-0 authentication services supporting Kerberos, TOTP, and FIDO2/WebAuthn. Develop tested backend code, implement identity protocols, debug distributed production systems, contribute to designs, and support CI/CD, telemetry, documentation, incident response, and on-call operations. The role requires secure coding, least-privilege practices, cloud and Kubernetes experience, and collaboration with senior engineers and internal platform stakeholders.

Serve as first point of contact for customers using Agentforce and Data 360, troubleshoot technical issues, provide feature guidance and best practices, manage customer expectations, create and maintain knowledge content, participate in training, and escalate complex issues to internal teams to ensure customer success.

Build and scale production-grade Java and Python backend services and APIs for a highly available distributed cloud platform. Own services end to end, automate CI/CD pipelines, apply DevOps practices including containers, infrastructure as code, and observability, and integrate AI/ML capabilities. Participate in code reviews, mentoring, and on-call rotations while supporting high-availability production environments.

Staff and Principal Product Data Scientists will use advanced analytics, experimentation, causal inference, machine learning, and large-scale data technologies to guide Slack product strategy. They will define success metrics, build self-service reporting and data models, evaluate product adoption drivers, identify growth opportunities, and help develop Slack’s agentic data delivery platform. The role partners closely with Product, Design, Engineering, Product Research, and go-to-market teams while communicating insights to executives and cross-functional stakeholders.

Partner with enterprise business units to manage security risk registers, conduct architecture reviews and threat modeling, provide security expertise, prioritize remediation, and drive bug closure. The role requires translating security frameworks into business-relevant risk, communicating with senior stakeholders, and applying sound judgment to AI-assisted security analysis. Responsibilities and autonomy vary across Senior Analyst, Lead, and Senior Lead levels.