Fastapi

Fastapi Engineer Jobs

3 jobs found

2d ago

Software Engineer III - Java Full Stack Developer

Deloitte Stamford, CT

Stamford, CT

2d ago

$113k - $189k/yr Full time Backend Developer Python API

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Job Description

Deloitte is seeking a Software Engineer III - Java Full Stack Developer to shape Java/Spring back-end and React front-end solutions, with Python components powering healthcare AI-driven initiatives and client engagements. This onsite role in Stamford, CT emphasizes scalable architectures, performance optimization, and collaboration across engineering, product, and client teams.

Responsibilities

Provide technical leadership across the stack by shaping architecture and delivering implementations for both the React front end and the Python back end, ensuring maintainability and scalability.
Design data schemas, develop and optimize SQL queries, manage migrations, and drive performance improvements.
Establish and maintain standards for code quality, testing, CI/CD pipelines, documentation, and observability including logging, metrics, and tracing.
Design, build, and optimize scalable software for AI platforms and consumer devices.
Incorporate load, stress, and real-user scenario testing into the development and production lifecycles, with automation where applicable.
Analyze and address performance, reliability, and scalability challenges in complex systems.
Collaborate with engineers working on custom hardware, embedded systems, and cloud infrastructure.
Apply advanced profiling, benchmarking, and system optimization techniques.
Contribute to solution architecture, API design, security, and system integration.
Communicate regularly with engagement managers (Directors) and project teams, escalating issues that require management attention.
Independently and collaboratively lead client engagement workstreams focused on process improvement, optimization, and transformation, implementing leading-practice workflows and driving operational outcomes.

Requirements

More than seven years of experience in software, systems, or embedded engineering.
Seven-plus years of experience with Java/J2EE.
Seven-plus years building Python APIs/services using frameworks such as FastAPI, Django, or Flask.
At least two years in a tech lead or team lead role guiding engineering decisions and delivery.
SQL expertise including data modeling, query optimization, indexing, and performance tuning.
React experience focusing on component design, state management, and performance considerations.
Experience with microservices, event-driven architectures, or distributed systems patterns.
Familiarity with Docker containerization and Kubernetes orchestration.
Understanding of network protocols, security best practices, and scalable API design.
Experience with Git, CI/CD pipelines, and modern DevOps practices.
Experience in Agile/Scrum environments, including sprint planning, code reviews, and collaborative problem-solving.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10% depending on duties and client engagements.

Technologies

Java/J2EE
Spring
Python
FastAPI
Django
Flask
React
SQL
Docker
Kubernetes
Git
CI/CD

Benefits

Discretionary annual incentive program

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5d ago

Senior Developer/Tech Lead – Python AI Native Engineers

InApp Indianapolis, IN

Indianapolis, IN

5d ago

Full time Backend Developer Python Senior

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Job Description

InApp seeks a Senior Developer and Tech Lead focused on Python AI native engineering. This hybrid, Indiana-based role supports remote collaboration and targets individuals with 8 to 10 years of experience. The position leads AI native development, Spec-Driven Development initiatives, and engineering standards across multiple teams.

Summary

Senior Developer and Tech Lead for Python AI native engineers, operating in a remote or hybrid setup, with 8 to 10 years of experience. You will steer AI native development, Spec-Driven Development, and the establishment of engineering standards across teams to drive consistency and quality.

Responsibilities

Oversee end-to-end product delivery using AI-native approaches and SDD based development models
Convert product requirements into well defined specifications that guide automated and AI assisted implementation
Establish and promote engineering best practices, including spec driven workflows, automation first design, and AI assisted coding
Increase team productivity by introducing scalable development patterns and tooling
Lead rapid iteration cycles while preserving quality and system reliability
Mentor engineers in adopting AI assisted development workflows and modern engineering practices
Collaborate closely with product, design, and business stakeholders in high ambiguity environments

Requirements

8+ years of robust software engineering experience, with recent exposure to Tech Lead or equivalent leadership responsibilities
Hands-on experience in AI native development environments, including AI copilots, code generation, or LLM powered workflows
Proven capability working with Spec Driven Development or similar structured execution models
Strong understanding of system design, architecture, and scalable engineering practices
Experience with automation first engineering, covering CI/CD, testing, and workflow automation
Ability to operate effectively in fast paced, startup-like environments with high ownership
Excellent problem solving skills with the ability to balance speed and quality
Deep expertise in Python, backend development, APIs, automation, and scalable architectures, with hands on experience in FastAPI, Django, and Flask

Technologies

Python
FastAPI
Django
Flask

Job Summary

We seek experienced engineers at Tech Lead level who operate where solid software engineering fundamentals meet AI native development practices. This role suits individuals who thrive in fast paced, high ownership settings and are comfortable leveraging AI to accelerate the software development lifecycle. You will anchor early stage delivery, define engineering standards, and scale AI native capabilities across teams using a Spec Driven Development approach.

Preferred Background

Experience in AI native startups or innovation driven teams
Exposure to AI assisted coding tools and frameworks
Prompt engineering and LLM integration within development workflows
Rapid prototyping and iteration models
Track record of building or scaling engineering practices from the ground up

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15d ago

Senior Data Engineer - Analytics

CyberCoders Bristol, PA 🇺🇸 Remote

Bristol, PA

15d ago

$165k - $190k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

Senior Data Engineer, Analytics designs and builds data models, transformation pipelines, and APIs to power dashboards, ML features, and downstream systems in a 100% remote role.

Responsibilities

Design, develop, and sustain robust ELT/ETL data pipelines using dbt Core and SQL for BigQuery targets.
Create modular, well tested SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and meet SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; utilize LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, using Cloud Run and other serverless options when suitable.
Optimize BigQuery performance and cost through partitioning, clustering, and query tuning.
Document data models, transformation logic, and operational runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

3+ years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Advanced SQL proficiency and strong Python experience for data transformation, orchestration, or testing.
Proven dbt Core experience to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
Authorization to work in the United States without sponsorship for a non-immigrant visa.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform (GCP)
Cloud Run
Vertex AI
FastAPI
LLM APIs
RESTful APIs

Position Overview

Salary: USD 165,000 - 190,000 per year. The Analytics Engineer role focuses on designing and implementing data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. You will work with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.

Location

Location: Bristol, PA (remote) • 100% Remote

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Fastapi Engineer Jobs

Software Engineer III - Java Full Stack Developer

Senior Developer/Tech Lead – Python AI Native Engineers

Senior Data Engineer - Analytics

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