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As an Applied AI Engineer, you'll design AI systems, build conversational UIs, and work on agentic workflows using LLMs.
Top Skills:
APIsLangchainLlm ApisOpenaiPythonSQLTransformersVector Databases
Software
The Account Executive will focus on acquiring new clients, owning the closing process, and collaborating with technical leaders to understand product value.
Top Skills:
Postgres,Snowflake,Zendesk
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead the design and operation of Dropbox's metadata infrastructure, shaping technical strategy, solving high-impact challenges, and mentoring engineers.
Top Skills:
C++GoJavaPythonRust
We are seeking an experienced Cloud Architect to lead our cloud infrastructure design and implementation efforts. The ideal candidate will have a strong background in AWS services, DevOps practices, and agile methodologies, with the ability to bridge the gap between technical implementation and business strategy.
Key Responsibilities:
- Reduce Time-to-Market: Implement and optimize CI/CD pipelines to reduce the time it takes to develop, test, and deploy new software
Requirements:
- Bachelor’s degree in computer science, Engineering, or a related field; Master’s degree a plus.
- English level: C1 or higher (Advanced).
- Minimum 5 years of experience in cloud architecture, with at least 3 years focusing on AWS; additional experience is a plus
- Strong knowledge of AWS services, including EC2, S3, RDS, Lambda, API Gateway, CloudFormation, and CDK
- Extensive experience with DevOps practices and tools, including CI/CD pipelines, infrastructure as code, and containerization
- Proficiency in at least one programming language (e.g., Python, C#, JavaScript) • Deep understanding of agile methodologies, including experience in backlog grooming and sprint planning
- Experience in change management processes and release versioning strategies • Strong knowledge of security best practices in cloud environments
- Familiarity with .NET development (version 6 and above)
- Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes
- Understanding of data processing and analytics technologies, including big data and data warehousing concepts
- Excellent problem-solving skills and ability to architect complex, scalable systems
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Experience leading and mentoring technical teams
- Relevant certifications (e.g., AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional) are highly desirable
Tech Stack
- Cloud Platform: AWS
- Front-end: ReactJS, TypeScript
- Back-end: .NET 6 and above, C#
- Databases: Amazon RDS (PostgreSQL), Amazon Redshift
- Data Processing: AWS Glue, AWS EMR
- Storage: Amazon S3
- Messaging and Queuing: Amazon SNS, Amazon SQS
- Infrastructure as Code: AWS CDK, CloudFormation
- CI/CD: GitHub, and GitHub Actions
- Containerization: Docker, Amazon ECS/EKS
- Monitoring and Logging: Amazon CloudWatch, AWS X-Ray
- Version Control (i.e., Git)
Key Responsibilities:
- Design and oversee the implementation of scalable, secure, and cost-effective cloud architectures using AWS services
- Lead DevOps initiatives, implementing CI/CD pipelines and fostering a culture of automation and continuous improvement
- Conduct and facilitate backlog grooming sessions, ensuring that technical debt is addressed, and new features are properly scoped
- Participate in sprint planning, providing technical insights and helping to prioritize work items
- Act as a Change Manager, overseeing the change management process and ensuring smooth implementation of updates and new features
- Develop and maintain a release versioning strategy, coordinating with development teams to ensure consistent and meaningful version control
- Design and implement multi-region, high-availability architectures using services such as Route 53, CloudFront, and Global Accelerator
- Optimize existing cloud architectures for performance, scalability, and cost-efficiency
- Implement robust security measures and ensure compliance with relevant standards and regulations
- Collaborate with data engineering teams to design efficient data pipelines and storage solutions
- Provide technical leadership and mentorship to cloud engineers and developers
- Stay current with emerging cloud technologies and evaluate their potential impact on our architecture
- Develop and maintain cloud architecture documentation, including diagrams, runbooks, and disaster recovery plans
- Collaborate with cross-functional teams to align cloud architecture with business goals and requirements
- Conduct architecture reviews and provide recommendations for improvement
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
