Lead the implementation of cloud and AI solutions, build RESTful APIs and microservices, collaborate with teams, and optimize Python code.
We're a premier AI consultancy that transforms how organizations leverage artificial intelligence. Our team combines deep technical expertise with a consultative approach to deliver innovative AI solutions that create lasting business impact.
Join Provectus as a Senior Full-stack Python Engineer/ Consultant and lead the implementation of cutting-edge cloud and AI solutions. In this role, you'll combine deep technical expertise with strategic consulting skills to deliver transformative results for our clients.
Responsibilities:
- Build and manage RESTful APIs, and microservices using frameworks such as FastAPI, Django REST, or Flask.
- Work with the client to proactively identify other use cases.
- Collaborate with cross-functional teams, including Data, and ML engineers to deliver high-quality products.
- Build a UI for the API with React/ Vue so that non-technical consumers can use it (for instance, a search bar, filters, etc.).
- Profile and optimize Python code to enhance performance.
- Write clean, maintainable, and well-documented code.
- Stay updated with the latest Python and AI technology developments and propose innovative solutions.
Requirements:
- Strong proficiency in Python or TypeScript programming.
- Solid understanding of object-oriented programming (OOP) and software design patterns.
- Experience in building RESTful APIs and servers with frameworks like FastAPI, Django REST, or Flask.
- Proven experience in optimizing and profiling Python code for performance.
- Understanding of microservices architecture and related patterns.
- Proficiency in AWS Lambda, Step Functions, and API Gateway.
- Strong experience in AWS RDS like SQL or NoSQL databases, etc.
- Familiar with React or Vue and ability to handle UI tasks and support basic frontend applications.
- Experience developing AI solutions and automation workflows using AWS Bedrock, SageMaker, and ML frameworks.
- Solid software engineering skills, with the ability to produce well-structured, maintainable code.
- Experience with unit testing and test-driven development.
- Excellent communication and problem-solving skills.
- Upper-intermediate or Advanced English skills.
- Knowledge of generative AI and experience with Retrieval Augmented Generation (RAG) architectures.
- Experience with CI/CD pipelines and automation.
- Experience with Docker for containerization and Kubernetes for orchestration.
Nice to Have:
Top Skills
Aws Api Gateway
Aws Lambda
Aws Rds
Aws Step Functions
Django Rest
Docker
Fastapi
Flask
Kubernetes
NoSQL
Python
React
SQL
Typescript
Vue
Similar Jobs
Automotive • Big Data • Insurance • Software • Transportation
Designs and maintains enterprise application systems, aligns application design with strategic direction, creates architectural designs, and supports business systems applications.
Top Skills:
Apache AirflowAsync PythonAWSCloudDatadogDockerGitGithub ActionsGraphQLHTMLMongoDBNoSQLOpensearchPostgres SqlPythonReactRestapisSQL
Information Technology • Consulting
Design and build a web platform using Python and Vue.js, collaborating in an Agile team while ensuring high-quality output and client confidentiality.
Top Skills:
Python,Django,Vue.Js,Rds Postgres,Aws,Opensearch,Lambda,Batch,S3,Jenkins,Docker,Terrraform
Information Technology • Consulting
The role involves developing a portals platform using Python, Django, and AWS technologies, collaborating with teams, and contributing to Agile practices.
Top Skills:
Python,Django,Vue.Js,Aws,Jenkins,Docker,Terrraform,Postgres
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
