Lead Azure-based application development and DevOps initiatives, building internal .NET and Python applications, APIs, CI/CD pipelines, and IAM solutions. Evaluate and pilot Azure AI and Copilot integrations, design agent-based workflows, support operational reliability, and participate in a 24x7 on-call rotation while collaborating with cross-functional teams.
The Seattle Times, a family-owned, Pulitzer Prize-winning news organization, is looking for an experienced Sr. Application Engineer to lead Azure DevOps projects with AI integrations. In this role, you will support The Seattle Times’ digital and AI transformation by strengthening internal application development and DevOps capabilities. On this team, you can expect to take charge of expanding in-house engineering capacity, improving delivery reliability, and enabling secure adoption of modern and AI driven technologies across newsroom and enterprise operations.
Work Location: this remote position requires occasional in-office work as needed. Finalists must be current or future residents of the Puget Sound region to be considered.
Schedule: while this role works normal business hours (Monday through Friday from 8:00 a.m. to 5:00 p.m.), on-call hours are required for 24x7 support on a scheduled rotation.
Responsibilities
Qualifications
Compensation: The full salary range for this position is $99,200 to $140,000. We typically pay between $99,200 to $126,400, depending on experience and qualifications.
Benefits
Please note: This position requires the successful completion of a pre-employment criminal background check once an offer has been made.
Work Location: this remote position requires occasional in-office work as needed. Finalists must be current or future residents of the Puget Sound region to be considered.
Schedule: while this role works normal business hours (Monday through Friday from 8:00 a.m. to 5:00 p.m.), on-call hours are required for 24x7 support on a scheduled rotation.
Responsibilities
- Design, develop, and maintain internal applications using the Microsoft development stack (.NET, C#, SQL) and Python.
- Proficiency in Python for backend development, automation, and integration with Azure AI and data services
- Design, develop, and integrate APIs to enable scalable system integrations and data exchange.
- Collaborate with cross-functional partners to deliver reliable internal tools while supporting ongoing operational needs.
- Evaluate and pilot AI and automation capabilities using Azure AI Services and Microsoft Copilot.
- Build, enhance, and operate CI/CD pipelines and development workflows using Azure DevOps or GitHub Actions.
- Apply DevOps best practices, including source control, automated testing, and deployment automation.
- Implement and support secure Identity and Access Management (IAM) solutions, including MFA and role-based access control (RBAC).
- Participate in a 24x7 on call rotation to support mission critical systems.
- Other projects and duties as assigned.
Qualifications
- Experience: Five or more years of experience with Microsoft development stack (.NET, C#, SQL) and Python. Successful applicants will also possess strong DevOps skills with Azure Pipelines or GitHub Actions, Git, and Agile workflows, as well as demonstrated API development experience.
- Prior experience as a Systems Analyst working with systems integration preferred.
- Education: Bachelor’s degree in computer science or information management or equivalent demonstrated work experience.
- Skilled in Identity and Access Management (IAM), including MFA and RBAC Familiarity with DevOps best practices.
- Working knowledge using ANSI SQL and vendor specific dialects, such as T-SQL.
- Experience designing, developing, or operating intelligent agents or agent based workflows that combine code, tools, APIs, and AI models to accomplish multi step tasks.
- Hands-on experience using command-line interfaces (CLI) for development, automation, deployment, and operational troubleshooting.
- Strong analytical troubleshooting and problem-solving skills.
- Strong facilitation, interpersonal, collaboration, and communication skills.
- Ability to effectively prioritize work, completing daily support responsibilities and project driven tasks in a timely manner.
Compensation: The full salary range for this position is $99,200 to $140,000. We typically pay between $99,200 to $126,400, depending on experience and qualifications.
Benefits
- Medical and dental insurance
- Employee assistance program
- Long-term disability insurance, with optional life/AD&D insurance and long-term care insurance
- 401(k) plan with employer match
- 10 days of annual vacation accrual, increasing with tenure up to 20 days
- 10 days of annual sick accrual; unused sick pay accrues to an extended illness bank
- 9 paid holidays
- Monthly internet stipend for predominately remote employees
- Subsidized transit cards and parking costs
- Complimentary Seattle Times subscription
- Wellness program
- Fertility coverage (with lifetime limits) for eligible employees
- Parental leave options
Please note: This position requires the successful completion of a pre-employment criminal background check once an offer has been made.
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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
