Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). * Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). * Experience building ...
Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). * Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). * Experience building ...
Software Engineer
Atlanta, GA · Hybrid
Python (Django, Flask, FastAPI, or similar) Why you'll love working here * Competitive compensation and comprehensive benefits * Medical, dental, vision, and life insurance for you and your family ...
Software Engineer
Atlanta, GA · Hybrid
Python (Django, Flask, FastAPI, or similar) Why you'll love working here * Competitive compensation and comprehensive benefits * Medical, dental, vision, and life insurance for you and your family ...
... Python with Django or Flask, or Java with Spring Boot * 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with ...
... Python with Django or Flask, or Java with Spring Boot * 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with ...
Senior Software Development Engineer, Agentic AI
Atlanta, GA · On-site +1
$117K - $155K/yr
... framework (Python preferred: Flask, Django, or FastAPI) * 5+ years with a Relational DB (PostgreSQL preferred) Other Qualifications: * Experience building and operating SaaS products in cloud ...
New
Senior Software Development Engineer, Agentic AI
Atlanta, GA · On-site +1
$117K - $155K/yr
... framework (Python preferred: Flask, Django, or FastAPI) * 5+ years with a Relational DB (PostgreSQL preferred) Other Qualifications: * Experience building and operating SaaS products in cloud ...
New
Django Python information
See Georgia salary details
$19.4K - $48.3K
7% of jobs
$56.4K is the 25th percentile. Wages below this are outliers.
$48.3K - $77.2K
64% of jobs
$95.3K is the 75th percentile. Wages above this are outliers.
$77.2K - $106.1K
6% of jobs
$106.1K - $135K
4% of jobs
$135K - $163.9K
18% of jobs
$163.9K - $192.8K
1% of jobs
$192.8K - $221.7K
0% of jobs
$221.7K - $250.6K
0% of jobs
$250.6K - $279.5K
0% of jobs
$279.5K - $308.4K
0% of jobs
$308.4K - $337.3K
0% of jobs
$19.4K
$97.2K
$337.3K
How much do django python jobs pay per year?
Does NASA use Django?
Is Django still used in 2026?
Can I get a job with Python and Django?
What are some typical challenges faced by Django Python developers in their daily work?
Django Python developers often encounter challenges such as optimizing database performance, ensuring code scalability, and integrating third-party APIs or legacy systems into Django-based applications. Keeping up with regular security updates and best coding practices is also essential, as web applications must be robust and secure. Additionally, developers may need to collaborate closely with front-end teams, designers, and product managers, requiring flexibility and strong communication skills. These challenges provide ongoing opportunities to problem-solve, innovate, and develop expertise in web development and team collaboration.
What are the key skills and qualifications needed to thrive in the Django Python position, and why are they important?
To thrive as a Django Python developer, you need strong proficiency in Python programming, experience with the Django web framework, and a solid understanding of databases and web technologies. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and knowledge of front-end technologies is often required, with additional value placed on Django or Python certifications. Effective problem-solving, teamwork, and clear communication are essential soft skills for collaborating within development teams. These skills are crucial to building, maintaining, and scaling reliable web applications in a dynamic tech environment.
What is a Django Python job?
A Django Python job typically involves developing web applications using Django, a high-level Python web framework. Professionals in this role are responsible for building, maintaining, and optimizing web applications, working with databases, and implementing secure authentication systems. They often collaborate with front-end developers, project managers, and other team members to create scalable and efficient web solutions.
Is Python Django in demand?

Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.
Recruiting for this role ends on 12/31/2026.
Work you will do:
As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.
Solution Delivery & Engineering (Primary Focus)
- Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
- Identify, troubleshoot, and resolve technical issues within scope
Pre-Sales & Deal Shaping
- Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
- Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
- Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.
Customer Delivery Leadership
- Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
- Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
- Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
- Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements
Product Feedback & Continuous Improvement
- Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
- Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.
The Team
Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Limited immigration sponsorship may be available.
- Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
We require 8+ years of experience for all areas below:
- Hands-on experience in full stack development across frontend and backend technologies.
- Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
- Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
- Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
- Experience building and integrating REST APIs, microservices, and serverless architectures.
- Experience conducting code reviews and guiding teams on best practices.
- Experience delivering and scaling applications on AWS, Azure, or GCP.
- Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
We require 1+ years of experience for all areas below:
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents
- Experience guiding teams on AI architecture, platform selection and integration into production systems.
- Experience with scalability, governance, and performance considerations for AI-enabled solutions.
Client-Facing & Delivery Ownership
- 8+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
- 8+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
- 8+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
- 8+ Years experience articulating technical concepts, risks, and trade-offs.
- 8+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.
Preferred Qualifications
- Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
- Experience with DevSecOps practices and secure software development lifecycle.
- Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
- Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
- Cloud certifications (AWS, Azure, GCP).
- Basic familiarity with ML frameworks (TensorFlow, PyTorch).
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $148,200 - $292,300.
#CyberCtBEngg
Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.
Recruiting for this role ends on 12/31/2026.
Work you will do:
As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.
Solution Delivery & Engineering (Primary Focus)
- Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
- Identify, troubleshoot, and resolve technical issues within scope
Pre-Sales & Deal Shaping
- Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
- Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
- Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.
Customer Delivery Leadership
- Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
- Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
- Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
- Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements
Product Feedback & Continuous Improvement
- Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
- Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.
The Team
Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Limited immigration sponsorship may be available.
- Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
We require 8+ years of experience for all areas below:
- Hands-on experience in full stack development across frontend and backend technologies.
- Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
- Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
- Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
- Experience building and integrating REST APIs, microservices, and serverless architectures.
- Experience conducting code reviews and guiding teams on best practices.
- Experience delivering and scaling applications on AWS, Azure, or GCP.
- Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
We require 1+ years of experience for all areas below:
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents
- Experience guiding teams on AI architecture, platform selection and integration into production systems.
- Experience with scalability, governance, and performance considerations for AI-enabled solutions.
Client-Facing & Delivery Ownership
- 8+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
- 8+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
- 8+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
- 8+ Years experience articulating technical concepts, risks, and trade-offs.
- 8+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.
Preferred Qualifications
- Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
- Experience with DevSecOps practices and secure software development lifecycle.
- Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
- Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
- Cloud certifications (AWS, Azure, GCP).
- Basic familiarity with ML frameworks (TensorFlow, PyTorch).
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $148,200 - $292,300.
#CyberCtBEngg