Django

Django Engineer Jobs

9 jobs found

4d ago

Senior AI Engineer

Klaviyo Boston, MA

Boston, MA

4d ago

$148k - $222k/yr Full time Backend Developer Artificial Intelligence Big Data

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Job Description

Klaviyo's Customer Agent team is hiring a Senior AI Engineer for an onsite role in Boston. This position centers on designing and building scalable backend systems and AI agent solutions, with collaboration across product managers, ML engineers, and data scientists to power production AI models and agent capabilities at scale. The role offers a compensation range of USD 148,000 to 222,000 per year, and the opportunity to contribute to high-impact, customer-focused technology.

Responsibilities

Architect and implement backend systems that scale our AI solutions for 167K+ customers.
Build robust data collection and processing pipelines to train and run machine learning models.
Develop reliable services that serve AI models in production environments.
Advance our agentic architecture to make AI agents more autonomous and performant.
Foster a culture of ownership, experimentation, and customer-centric product thinking.

Requirements

5–7 years of professional software engineering experience, with a strong emphasis on backend systems and distributed architectures.
Hands-on experience deploying generative and agentic AI applications in production, with expertise in prompt engineering, few-shot learning, fine-tuning, and evaluation.
Proven track record as a backend engineer building scalable, distributed systems that support AI agent capabilities.
Proficiency in Python and modern backend frameworks (FastAPI; Django preferred).
Experience creating human and automated evaluations to ensure high AI model quality.
Strong skills with big data tools such as Apache Spark and Hadoop.
Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).
Solid understanding of database technologies and ORMs (SQLAlchemy, Alembic).
Comfort with cloud-native architectures (AWS) and container orchestration (Kubernetes); ability to manage infrastructure and CI/CD pipelines.
Ability to design and build robust APIs with a high level of autonomy and problem-solving initiative in a fast-moving environment.
Curiosity-driven learner who stays current with rapid advances in the field.
Excellent collaboration with product managers and customers to shape solutions.

Technologies

Python
FastAPI
Django
Apache Spark
Hadoop
Celery
Kafka
SQS
RabbitMQ
Redis
SQLAlchemy
Alembic
AWS
Kubernetes

Nice to Have

Experience training ML models and deploying them in production to generate business impact.
Background in reinforcement learning.

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4d ago

Senior AI Engineer - Customer Agent

Klaviyo Boston, MA

Boston, MA

4d ago

$148k - $222k/yr Full time Backend Developer Agentic Ai Ai Agents

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Job Description

Senior AI Engineer on the Klaviyo Customer Agent team in Boston, MA (onsite) designs and builds scalable backend systems and AI agent solutions for an AI-native conversational platform, with a salary range of USD 148,000 - 222,000 per year.

Responsibilities

Architect and implement backend systems to scale AI capabilities for over 167,000 customers.
Build robust data collection and processing pipelines for machine learning models used in training and inference.
Create production-grade services to host and serve AI models with reliability and scalability.
Advance the agent-centric architecture to boost autonomy and performance of AI agents.
Foster a culture of ownership, experimentation, and customer-focused product thinking.

Requirements

5 to 7 years of professional software engineering experience, emphasizing backend systems and distributed architectures.
Hands-on experience shipping generative and agentic AI applications to production, with expertise in prompt engineering, few-shot learning, fine-tuning, and evaluation.
Proven backend engineer with a track record building scalable distributed systems supporting AI agent capabilities.
Proficient in Python and modern backend frameworks, with Django preferred.
Experience designing and implementing human and automated evaluations to ensure AI model quality.
Proficient with big data tools such as Apache Spark and Hadoop.
Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).
Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic).
Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); capable of managing infrastructure and CI/CD pipelines.
Skilled in designing and building robust APIs.
Ability to operate autonomously, handle ambiguity, and thrive in a fast-moving, startup-like environment.
Curious and committed to staying up to date with rapid advances in the field.
Comfortable collaborating directly with product managers and customers to shape solutions.

Technologies

Python
FastAPI
Django
Apache Spark
Hadoop
Celery
Kafka
SQS
RabbitMQ
Redis
SQLAlchemy
Alembic
AWS
Kubernetes

Benefits

Annual cash bonus plan
Variable compensation (OTE) for sales and customer success roles
Equity
Sign-on payments
Health, welfare, and wellbeing benefits

Nice to Have

Experience training and deploying ML models in production to drive business impact
Background in reinforcement learning

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11d ago

Full Stack Python / AWS Lead Software Engineer

JPMorganChase Jersey City, NJ

Jersey City, NJ

11d ago

$152k - $215k/yr Full time Backend Developer Python Amazon Web Services

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Job Description

This onsite, Jersey City, NJ role offers a competitive annual salary of USD 152,000 to 215,000 and a benefits package designed to support health, growth, and financial security. You will join the Asset and Wealth Management Technology Team's Acceleration Lab to build cloud‑native, microservices‑based applications and advance AI assisted engineering practices to raise code quality, accelerate delivery, and strengthen operational resilience.

Benefits and culture

comprehensive health care coverage
on‑site health and wellness centers
retirement savings plan
backup childcare
tuition reimbursement
mental health support
financial coaching

What you will do

Invent and troubleshoot software solutions, applying non standard approaches to complex problems
Deliver end‑to‑end cloud native microservices based applications using modern technologies and industry best practices
Use domain modeling to create clear, testable, evolvable business products
Produce secure, high quality production code and review peers' work
Identify opportunities to automate recurring remediation to improve software stability
Lead communities of practice to promote new and leading edge technologies
Contribute to a culture of diversity, opportunity, inclusion, and respect
Investigate and resolve issues promptly and keep patterns and technologies up to date
Design architectures that avoid single points of failure and support scalable performance
Promote AI assisted engineering practices across teams to improve quality, speed, and operational outcomes, with measurable validation standards and pattern reuse
Leverage the software development lifecycle toolchain and approved AI capabilities to maximize automation value
Build scalable, secure, reliable solutions using modern patterns that enable zero downtime releases

What we require

Formal training or certification in software engineering plus 5+ years of applied experience
Back end proficiency with Python, Flask, Django and experience building microservices; front end skills including HTML, CSS, JavaScript, TypeScript, React or Angular
Ability to independently solve design and functionality challenges with minimal supervision
Experience with cloud platforms such as AWS, Azure, or GCP, distributed systems, RESTful APIs, WebSockets, and JSON
Hands-on experience designing and building scalable applications using SQL and NoSQL databases
Experience with agile methodologies (Scrum) and a solid understanding of the software development life cycle
Understanding of application resiliency
Proficiency in automation and continuous delivery; deep knowledge of SDLC, with advanced understanding of CI/CD, application resiliency, and security
Experience leading the effective use of enterprise authorized AI assisted development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, resiliency, and security; experience coaching senior engineers on compliant usage patterns
Demonstrated expertise in software applications and technical processes within a technical discipline (cloud, AI, ML, mobility, etc.)

Technologies you will work with

Python, Flask, Django
HTML, CSS, JavaScript, TypeScript, React, Angular
AWS, Azure, GCP
RESTful APIs, WebSockets, JSON
SQL, NoSQL
AI assisted software development tools

Preferred qualifications and capabilities

strong presentation, negotiation, mentoring, and stakeholder management
robust problem solving, analytical, and communications skills with a propensity to share best practices
experience in the banking domain
AWS certification

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1mo ago

Software Engineer III - Java Full Stack Developer

Deloitte Stamford, CT

Stamford, CT

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 4, 2026).

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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1mo ago

Senior Software Engineer

Leidos Gaithersburg, MD

Gaithersburg, MD

1mo ago Closed

$108k - $195k/yr Full time Backend Developer Python Senior

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Leidos offers a mission-driven environment with a solid benefits package, including health and wellness programs, income protection, paid leave, and retirement options. This onsite opportunity in Gaithersburg, MD sits on the Chinook GEOINT program, delivering end-to-end software solutions within an Agile team focused on geospatial intelligence. The role presents a competitive salary range of USD 107,900 to 195,050 per year.

Responsibilities

Address tasks prioritized by the team product owner as part of an Agile workflow.
Participate in the full software development lifecycle within clearly defined parameters.
Own the delivery of enhancements within a system or application.
Break down large tasks into manageable units and provide level of effort estimates.
Collaborate with fellow software engineers to design and document effective technical approaches.
Ensure the team follows Agile processes and best practices.
Build software solutions where requirements are not fully defined, always prioritizing customer needs.
Remove obstacles for the development team in coordination with the Product Owner, technical leadership, and other engineers.
Ensure all Scrum events are productive, positive, and timeboxed.

Requirements

US citizenship required per contract.
Master’s degree in Computer Science, Software Engineering, or a related field with 6-10 years of relevant experience, or Bachelor’s degree with 8-12 years of relevant experience.
TS/SCI clearance and ability to obtain a Polygraph.
Experience serving as a Scrum Master for a software development or similar technical team.
Web technologies: Django, JQuery, Ajax, REST APIs.
Object oriented programming: Python, Java, JavaScript.
Relational databases: SQL, Postgres.
Operating systems: Windows, Linux.
Version control: Git, GitLab.
Experience applying GEOINT domain understanding when troubleshooting, optimizing, and validating system behavior and data outputs.
Strong understanding of modern software design patterns and coding standards.
Experience architecting, developing, and delivering complex software systems into production.
Working knowledge of Agile development and CI/CD methodologies and tools.
Self-motivated to learn new programming languages, tools, frameworks, and techniques.

Technologies

Django, JQuery, Ajax, REST APIs
Python, Java, JavaScript
SQL, Postgres
Windows, Linux
Git, GitLab
React
AWS, IBM, Google, Azure, Oracle
S3, SQS, SNS, EC2, CloudFormation, RDS
AWS DevOps Engineer certification (preferred)

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

Preferred qualifications

Experience with scripting languages such as REACT
Software architectures: Client-Server, Model-View-Controller
Cloud exposure to multi-cloud architectures: AWS, IBM, Google, Azure, and Oracle
Cloud exposure to AWS services: S3, SQS, SNS, EC2, CloudFormation, and RDS
AWS DevOps Engineer or similar certification

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1mo ago

Senior Developer/Tech Lead – Python AI Native Engineers

InApp Indianapolis, IN

Indianapolis, IN

1mo ago Closed

Full time Backend Developer Python Senior

This position is no longer accepting applications (closed Jun 30, 2026).

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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1mo ago

Backend Software Engineer

Leidos Aurora, CO

Aurora, CO

1mo ago Closed

$108k - $195k/yr Full time Backend Developer Python Apache Airflow

This position is no longer accepting applications (closed Jun 25, 2026).

Job Description

This Backend Software Engineer role in Aurora, CO onsite at Leidos focuses on designing, building, and maintaining scalable backend services using Java or Python, developing RESTful APIs, and integrating data sources in a Linux environment.

Responsibilities

Design, implement, test, and maintain backend services in Java or Python.
Build RESTful APIs to support core functionality and integrations.
Apply rigorous object oriented design to create scalable, maintainable systems.
Develop and optimize SQL queries to support features and performance.
Collaborate with external teams to understand data sources, interfaces, and access patterns, translating requirements into backend integrations.
Contribute to technical design discussions and backend architecture decisions.
Develop, deploy, and troubleshoot applications within Linux environments.
Diagnose and resolve issues across application and database layers.
Participate in code reviews and uphold engineering standards.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field with 8–12 years of experience; or a Master’s degree with 6–10 years of experience.
U.S. Citizenship.
Active TS/SCI clearance with the ability to pass a Polygraph.
Strong professional experience developing backend applications in Java or Python.
Proven ability to design and develop RESTful APIs that support scalable functionality.
Solid SQL experience, including writing and optimizing queries across relational databases.
Comfortable working in Linux-based environments.
Ability to work independently and drive solutions to moderately complex and complex technical challenges.

Technologies

Java
Python
Linux
SQL
PostGIS
Spring Boot
Django
Apache Airflow
GitLab
Jenkins
Docker
OpenShift
Kubernetes
AWS
Azure

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

Preferred Qualifications

Experience with Apache Airflow or similar workflow orchestration technologies
Experience with geospatial data and querying (PostGIS)
Experience with Spring Boot, Django, or similar backend frameworks
Experience with CI/CD pipelines (GitLab, Jenkins, etc.)
Familiarity with containerization (Docker, OpenShift, Kubernetes)
Exposure to cloud environments (AWS or Azure)
Experience working in Agile development environments

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1mo ago

Backend Software Engineer

Leidos Alexandria, VA

Alexandria, VA

1mo ago Closed

$108k - $195k/yr Full time Backend Developer Python Apache Airflow

1mo ago

Backend Software Engineer

Leidos St. Louis, MO

St. Louis, MO

1mo ago Closed

$108k - $195k/yr Full time Backend Developer Python Apache Airflow

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