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Seasonal Backend Developer Python Jobs in Carlsbad, CA

Collaborate with backend engineers on synthesis, floorplanning, timing closure, and place-and-route ... Proficiency in UNIX/Linux and strong Python scripting skills are desirable * Experience with FPGA ...

Strong proficiency in programming, preferably with Python and JavaScript, and experience building backend services. * Strong analytical, problem-solving, and communication skills, with the ability to ...

Develop backend services, frontend interfaces, APIs, and data layers supporting AI and data ... Build and maintain applications using Python, Django, React, and related technologies. * Design and ...

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Full stack development using Python, Java, or JavaScript for front-end and back-end apps (node.js, ...

Software Engineer Principal

San Diego, CA · On-site

$160K - $200K/yr

Full stack development using Python, Java, or JavaScript for front-end and back-end apps (node.js, ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

Showing results 41-60

Seasonal Backend Developer Python information

See Carlsbad, CA salary details

$16.6K

$153.8K

$198.1K

How much do seasonal backend developer python jobs pay per year?

As of Sep 9, 2026, the average yearly pay for seasonal backend developer python in Carlsbad, CA is $153,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,900.00 and $173,800.00 per year, depending on experience, location, and employer.

What is a seasonal backend developer python?

Seasonal Backend Developer Python jobs are temporary positions where developers use the Python programming language to build and maintain server-side applications for a specific period, often aligned with a company’s peak business season. These roles typically involve working on APIs, databases, and backend logic to support web or mobile applications. Employers seek individuals who can quickly adapt, contribute to ongoing projects, and help handle increased workloads during busy times, such as holidays or special events. Candidates should have strong Python skills, familiarity with backend frameworks like Django or Flask, and experience working with databases and cloud platforms.

What are the key skills and qualifications needed to thrive as a seasonal backend developer python?

To excel as a Seasonal Backend Developer Python, you need strong proficiency in Python programming, backend frameworks (such as Django or Flask), and experience with databases, usually supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and containerization tools like Docker is often required. Problem-solving, effective time management, and teamwork are vital soft skills for handling project deadlines and collaborating remotely or with cross-functional teams. These skills ensure efficient, scalable backend solutions that meet seasonal business demands and integrate seamlessly with broader systems.

What are some typical challenges faced by a seasonal backend developer python, and how can applicants prepare for them?

Seasonal Backend Developers working with Python often face tight project timelines and the need to quickly adapt to existing codebases. Since the role is temporary, ramping up effectively and collaborating with permanent team members are essential. Applicants can prepare by familiarizing themselves with common Python frameworks (such as Django or Flask), practicing reading and debugging unfamiliar code, and honing their communication skills to integrate smoothly with established workflows. Being proactive in asking questions and seeking documentation can make the transition faster and more effective.

What is the difference between Seasonal Backend Developer Python vs Backend Developer?

AspectSeasonal Backend Developer PythonBackend Developer
Required SkillsPython, Django/Flask, REST APIs, SQLPython, Django/Flask, REST APIs, SQL
Work EnvironmentTemporary, project-based, often remote or on-siteFull-time, permanent, on-site or remote
Industry UsageSeasonal projects in e-commerce, retail, or event-driven industriesContinuous development in tech, finance, healthcare

Seasonal Backend Developer Python roles focus on short-term projects requiring Python expertise, often in retail or e-commerce during peak seasons. In contrast, Backend Developers typically hold ongoing roles with broader responsibilities. Both roles require similar technical skills, but their employment duration and project scope differ.

What cities near Carlsbad, CA are hiring for Seasonal Backend Developer Python jobs?

Cities near Carlsbad, CA with the most Seasonal Backend Developer Python job openings:

Software Engineer II - Full-stack Developer with Anthropic Experience

San Diego, CA • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Posted 4 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Software Engineer II with Anthropic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Consultant, Software Engineer II, on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Design, build, test, and maintain scalable full-stack features across front-end and back-end systems.
  • Develop and support microservices, application programming interfaces, continuous integration/continuous deployment pipelines, containerized workloads, and infrastructure as code.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 4+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 3+ years of experience designing, developing and delivering AI/ML solutions
  • At least 6 months of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integration
  • At least 6 months of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 6 months of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 3+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 2+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Docker and Kubernetes.
  • Experience with continuous integration/continuous deployment pipelines and DevOps practices.
  • Experience working in an Agile/Scrum environment using tools such as Jira or Linear.
  • Contributions to open-source projects or a portfolio demonstrating software development work.
  • Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer.
  • Experience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work cases
  • Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,600 to $188,400.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Software Engineer II with Anthropic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Consultant, Software Engineer II, on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Design, build, test, and maintain scalable full-stack features across front-end and back-end systems.
  • Develop and support microservices, application programming interfaces, continuous integration/continuous deployment pipelines, containerized workloads, and infrastructure as code.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 4+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 3+ years of experience designing, developing and delivering AI/ML solutions
  • At least 6 months of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integration
  • At least 6 months of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 6 months of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 3+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 2+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Docker and Kubernetes.
  • Experience with continuous integration/continuous deployment pipelines and DevOps practices.
  • Experience working in an Agile/Scrum environment using tools such as Jira or Linear.
  • Contributions to open-source projects or a portfolio demonstrating software development work.
  • Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer.
  • Experience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work cases
  • Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

The wage rang...


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