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Night Shift Python Django Backend Developer Jobs in Arizona

... Java Backend with proficiency in Java, springboot and microservices. • Proficiency in Python ... Preferred : • Experience with CI/CD pipelines, DevOps practices, and test automation frameworks ...

... join our engineering team. The ideal candidate will have experience building scalable backend ... Proficiency in TypeScript; additional experience in Python or Java is a plus * Strong knowledge of ...

Senior Engineer I, Product Intelligence

Phoenix, AZ · On-site

$103K - $142K/yr

... a backend developer * Strong proficiency in Go (required) * Working proficiency across our core ... Python, PostgreSQL, gRPC, HTTPS, Kafka, Redis, and Linux; familiarity with React/TypeScript ...

UI Developer

Phoenix, AZ · On-site

$48.75 - $63.25/hr

Collaborate with backend developers to ensure smooth data flow and API integration. continuously ... Proficiency in Python programming, including object-oriented programming and common Python ...

ETL developer

Chandler, AZ · On-site

$52 - $68.25/hr

They are looking for a specialized ETL backend developer to help with additional work they've taken ... on Python or other scripting languages Hands-on experience with Google Cloud Platform or other ...

Software Engineer

Tucson, AZ · On-site

$108K/yr

Python developer familiar with open-source technologies, responsible for building software ... Develop back-end/front-end (80%/20%) applications including development against 3rd party APIs ...

Software Engineer

Phoenix, AZ · On-site

$108K/yr

Python developer familiar with open-source technologies, responsible for building software ... Develop back-end/front-end (80%/20%) applications including development against 3rd party APIs ...

Technical Architect

Tempe, AZ · On-site

$64.50 - $77.75/hr

Architect scalable, cloud-native, and event-driven backend ecosystems using Python (FastAPI) and AWS-native services. Establish architecture standards, governance models, engineering principles, and ...

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Night Shift Python Django Backend Developer information

What are some common challenges faced by Night Shift Python Django Backend Developers, and how can I prepare for them?

Night shift Python Django Backend Developers often encounter challenges related to working with limited real-time collaboration, as most teammates and stakeholders may be offline. This can require independent problem-solving and strong written communication skills to document progress and raise issues for the next shift. Additionally, maintaining a healthy work-life balance and managing fatigue are important, so it's helpful to establish a consistent routine and leverage asynchronous communication tools. Preparing by familiarizing yourself with the team's handover processes and project management platforms can make the transition into night shift work smoother and more productive.

What are Night Shift Python Django Backend Developers?

Night Shift Python Django Backend Developers are software engineers who specialize in building and maintaining server-side applications using the Python programming language and the Django web framework, specifically working during nighttime hours. Their main responsibilities include developing backend logic, integrating databases, creating APIs, and ensuring the performance and security of web applications. Working the night shift may involve collaborating with teams in different time zones, providing overnight technical support, or maintaining critical systems outside regular business hours. These developers are essential for organizations that require 24/7 operations or support global clients.

What is the difference between Night Shift Python Django Backend Developer vs Night Shift Java Spring Backend Developer?

AspectNight Shift Python Django Backend DeveloperNight Shift Java Spring Backend Developer
Required SkillsPython, Django, REST APIs, databasesJava, Spring Framework, REST APIs, databases
Work EnvironmentWeb development, startups, tech companiesEnterprise applications, financial services, tech firms
CertificationsPython certifications, Django coursesJava certifications, Spring certifications
Industry UsagePopular in startups and tech companiesCommon in large enterprises and financial institutions

Both roles involve backend development with a focus on server-side logic, APIs, and databases. The main difference lies in the programming language and framework used: Python with Django versus Java with Spring. Your choice depends on your preferred language, industry focus, and the specific tech stack of the employer.

What are the key skills and qualifications needed to thrive as a Night Shift Python Django Backend Developer, and why are they important?

To thrive as a Night Shift Python Django Backend Developer, you need strong proficiency in Python, Django framework, RESTful API development, and a solid understanding of databases, often supported by a degree in computer science or a related field. Familiarity with version control tools like Git, containerization platforms such as Docker, and cloud services (AWS, Azure) is typically required, and certifications in these areas can be advantageous. Excellent problem-solving abilities, effective communication, and the capacity to work independently during night hours help you excel in this role. These skills and qualities are crucial to ensure consistent, reliable backend performance and timely project delivery while collaborating across different time zones.
What are popular job titles related to Night Shift Python Django Backend Developer jobs in Arizona? For Night Shift Python Django Backend Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Night Shift Python Django Backend Developer jobs in Arizona look for? The top searched job categories for Night Shift Python Django Backend Developer jobs in Arizona are:
What cities in Arizona are hiring for Night Shift Python Django Backend Developer jobs? Cities in Arizona with the most Night Shift Python Django Backend Developer job openings:
Cyber Forward Deployed Engineer - Manager

Cyber Forward Deployed Engineer - Manager

Deloitte

Gilbert, AZ

Other

Re-posted 24 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 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

Qualifications:

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

Education:Bachelor's DegreeEmployment Type:

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