Remote Python Gui Developer Jobs in Pennsylvania

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Java/Python AWS Analyst you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery. 

The Team 

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.

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.

Work you'll do/Responsibilities

• Design, develop, and optimize scalable software for high-performance platforms and consumer devices. 

• Integrate and automate load, stress, and real-user scenario testing into the development and production lifecycle. 

• Analyze, monitor, 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), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

QualificationsRequired 

• 1+ years of experience delivering software solutions in an agile environment

• Experience with modern full stack programming languages and frameworks, including Java and Python

• Experience designing, developing, and maintaining scalable applications using AWS services such as EC2, S3, Lambda, API Gateway, and RDS/DynamoDB
• Experience with CI/CD tools and workflows, such as GitHub Actions and GitHub Workflows
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

Qualifications Preferred

• Familiarity with authentication and security best practices, including OAuth and Okta
• Exposure to AI-assisted development tools and AI platforms, including GitHub Copilot, Claude Code, AWS Bedrock, and Microsoft Copilot Studio
• Working knowledge of cloud monitoring, logging, and observability practices
• Experience with Front End development
• Experience with Angular and Golang

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Java/Python AWS Analyst you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery. 

The Team 

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.

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.

Work you'll do/Responsibilities

• Design, develop, and optimize scalable software for high-performance platforms and consumer devices. 

• Integrate and automate load, stress, and real-user scenario testing into the development and production lifecycle. 

• Analyze, monitor, 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), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

QualificationsRequired 

• 1+ years of experience delivering software solutions in an agile environment

• Experience with modern full stack programming languages and frameworks, including Java and Python

• Experience designing, developing, and maintaining scalable applications using AWS services such as EC2, S3, Lambda, API Gateway, and RDS/DynamoDB
• Experience with CI/CD tools and workflows, such as GitHub Actions and GitHub Workflows
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

Qualifications Preferred

• Familiarity with authentication and security best practices, including OAuth and Okta
• Exposure to AI-assisted development tools and AI platforms, including GitHub Copilot, Claude Code, AWS Bedrock, and Microsoft Copilot Studio
• Working knowledge of cloud monitoring, logging, and observability practices
• Experience with Front End development
• Experience with Angular and Golang