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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The role involves collaborating with development and operations teams, mentoring junior engineers, monitoring software performance, managing cloud services, and deploying AI solutions.
Top Skills:
AnsibleAWSAzureBashDatadogDockerGCPGrafanaJavaKubernetesPerlPowershellPrometheusPythonTerraform
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
As a Jr. DevOps Engineer, you will build infrastructure components using Terraform and AWS, maintain CI/CD workflows, troubleshoot containerized environments, and contribute to system reliability while actively engaging in team activities.
Top Skills:
ArgocdAWSBashDatadogDockerGithub ActionsGoKubernetesObservePythonTerraform
Edtech
The role involves mentoring learners in cloud computing, conducting 1:1 and group sessions, and providing technical deep-dives on AWS technologies.
Top Skills:
Amazon CloudwatchAWSAws CloudformationDockerGithub ActionsKubernetes
The DevOps Engineer will play a crucial role in enabling reproducible builds, integrating static analysis tools, and ensuring traceable software delivery for embedded, real-time, and general-purpose systems. They will work closely with cross-domain engineering teams to improve developer productivity and streamline cross-platform development workflows.
Responsibilities
- Design and maintain CI/CD pipelines for multi-target builds, focusing on DSP, ARM, and x86 architectures.
- Automate build, test, and packaging processes across heterogeneous toolchains, ensuring parallel execution and quality gates.
- Support cross-compilation and native compilation workflows for DSP, ARM, and x86, maintaining consistent build reproducibility.
- Manage and maintain toolchains, including DSP SDKs, ARM cross-compilers, and x86 GCC/Clang toolchains.
- Integrate static analysis tools into CI pipelines, enforcing pre-merge and pre-build validation across all architectures.
- Maintain Jira workflows, linking requirements, tasks, and defects to multi-architecture builds, and integrating CI/CD systems with Jira.
- Develop scripts to orchestrate multi-architecture builds, standardizing CI pipelines and reducing manual intervention.
- Improve developer iteration speed across heterogeneous environments, providing unified CI/CD templates and simplifying cross-compilation flows.
- Ensure deterministic builds across architectures and toolchains, supporting hardware-in-the-loop (HIL) validation where applicable.
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- 3-10 years of experience in software engineering, DevTools, or build engineering.
- Strong background in software development, with expertise in C, C++, Python, or similar languages.
- Experience with cross-compilation and multi-architecture builds, including DSP, ARM, and x86 platforms.
- Proficiency in CI/CD systems (Jenkins, GitLab CI, GitHub Actions) and build systems (Make, CMake, Bazel).
- Knowledge of Linux and embedded development environments, with experience in static analysis and code quality integration.
- Familiarity with Jira workflow and CI integration, and scripting skills (Python, Bash).
- Understanding of system-level software and toolchains, with a focus on reproducibility and traceability.
- Preferred skills include DSP programming, embedded RTOS experience, and knowledge of heterogeneous compute architectures.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
