Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design, deploy, secure, and maintain scalable AWS infrastructure using Terraform and GitLab CI/CD. Provide application and cloud support, monitor systems, troubleshoot incidents, manage IAM, perform maintenance and backups, improve observability and reliability, and guide cloud architecture and deployment decisions. Collaborate with engineering, security, data, and infrastructure teams while supporting audits, documentation, disaster recovery, and on-call operations.

Develop and maintain enterprise automation solutions using Ansible, Python, Bash, and PowerShell. Build RESTful APIs, Infrastructure as Code, CI/CD pipelines, and automated testing frameworks across Linux, Windows, and cloud platforms. Manage the full automation software lifecycle, integrate enterprise systems, support production environments, document solutions, and collaborate with infrastructure, security, and service teams in Agile environments.

Leads systems architecture and solution development for complex federal programs, translating requirements into executable cloud-native solutions. Advises executives and government customers while guiding integrated product teams developing AI/ML capabilities on AWS. Responsibilities include software architecture, distributed systems, REST APIs, microservices, automation, testing, security compliance, and technical documentation. The role requires extensive software engineering experience, active Secret clearance, Agile expertise, and familiarity with Navy weapon systems and NAVAIR.

Develops, enhances, tests, debugs, deploys, and supports enterprise mainframe applications using COBOL, IDMS, DB2, and related technologies. Troubleshoots production issues, collaborates with end users to define requirements, ensures performance and security, applies Agile practices, and mentors junior developers. The role supports remote personnel serving a Kansas City, Kansas customer and requires the ability to obtain and maintain Public Trust clearance.

Develop and maintain mission-critical full-stack web and database applications, ETL pipelines, reporting solutions, and system integrations. Responsibilities include writing and testing code, creating advanced T-SQL and SSRS solutions, improving existing programs, documenting data lineage, troubleshooting applications and databases, and collaborating with business and technical teams in an Agile environment.

Lead federal marine and anadromous species range-map production using GIS, Python, SQL, spatial data normalization, CRS transformations, and intersect validation. Ensure compliance with FWS mapping standards, coordinate iterative reviews with FWS and NOAA subject-matter experts, prepare QA documentation, and obtain government sign-off. Support post-production map updates and operational handoff documentation.

Manages and grows a software engineering team while remaining hands-on in architecture, development, integration, and troubleshooting. Leads cloud-native AWS services, microservices, APIs, Python backend systems, frontend components, secure access controls, CI/CD, and production support for satellite communications ground systems. Collaborates with systems engineering, MBSE, cybersecurity, testing, DevSecOps, and government stakeholders to deliver secure, scalable, traceable, and reliable mission software.

Owns the integration of Rapid FI into the CMS Fraud Prevention System and builds, operates, and secures data pipelines supporting fraud-detection workflows. Responsibilities include AWS application integration, data ingestion and transformation, Kubernetes/EKS operations, identity and RBAC integration, audit logging, compliance documentation, regulated-environment operations, and coordination with product teams for releases and handoff.

Designs integration architecture for third-party agentic AI tools within secure, vendor-isolated government enclaves. Defines data packages, identity federation, tenant isolation, audit logging, and PHI/PII governance. Provides hands-on expertise in LLMs, RAG, fine-tuning, tool use, multi-agent orchestration, and LLMOps. Guides AWS and Databricks-based AI/ML deployments, evaluation, monitoring, and automation while presenting architectures to technical and non-technical stakeholders.

Design, develop, customize, and support ServiceNow applications, modules, data models, workflows, integrations, scripts, and Service Portal components. Gather requirements, troubleshoot unfamiliar systems, trace code and data relationships, configure instances and MID Servers, implement access controls, and ensure security compliance. Own work from investigation through delivery while collaborating in an Agile/DevSecOps environment and mentoring junior developers.