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As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Work you'll do

As a Senior Full Stack Engineer on the Product Engineering team, you will be responsible for

• Designing, developing, testing, and deploying full-stack applications that support Deloitte business and product priorities
• Leading technical analysis, solution design, code development, integration, and production support across multiple initiatives
• Building scalable, maintainable, and secure software using modern engineering practices, automation, and cloud-native patterns
• Partnering with product, experience, and delivery teams to translate business and user needs into technical solutions
• Driving engineering quality through code reviews, unit testing, continuous improvement, and hands-on problem solving

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 mentor and provide clear guidance to others

The team

US Deloitte Technology Product Engineering has modernized software and product delivery through a scalable, value-driven model focused on outcomes. As Deloitte's primary internal development organization, the team delivers digital solutions that support businesses, service lines, and internal operations. Product Engineering develops and deploys innovative solutions that help Deloitte operate effectively and lead in the market.

Qualifications

Required:

• Bachelor's degree in computer science, software engineering, or a related field
• 5+ years of full-stack software engineering experience building and deploying web applications
• 5+ years of experience with front-end and back-end technologies such as Angular, React, Node.js, Python, C#, .NET Core, Java, Golang, and SQL or NoSQL databases
• 5+ years of experience designing and delivering cloud-native applications using Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including microservices, platform as a service, or functions as a service
• 5+ years of experience using Agile, DevSecOps, continuous integration and continuous deployment tools, GitHub, Azure DevOps, or SonarQube in software delivery
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available

Preferred:

• Master's degree in computer science, software engineering, or a related field
• Experience with artificial intelligence, machine learning, or generative AI solutions
• Experience translating business requirements, architecture, or user experience designs into technical specifications
• Experience with automated testing, unit testing, and production deployment support
• Experience leading technical design, code reviews, or engineering workstreams

The Deloitte Encore Program is specifically designed to enable professionals who have left the workforce to return to work with confidence. This program offers an opportunity to improve your skills in a client service environment, coupled with mentorship to support professional growth. The Encore program is an excellent opportunity to reignite your professional career

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 $88,600 to $181,900.

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.

As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Work you'll do

As a Senior Full Stack Engineer on the Product Engineering team, you will be responsible for

• Designing, developing, testing, and deploying full-stack applications that support Deloitte business and product priorities
• Leading technical analysis, solution design, code development, integration, and production support across multiple initiatives
• Building scalable, maintainable, and secure software using modern engineering practices, automation, and cloud-native patterns
• Partnering with product, experience, and delivery teams to translate business and user needs into technical solutions
• Driving engineering quality through code reviews, unit testing, continuous improvement, and hands-on problem solving

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 mentor and provide clear guidance to others

The team

US Deloitte Technology Product Engineering has modernized software and product delivery through a scalable, value-driven model focused on outcomes. As Deloitte's primary internal development organization, the team delivers digital solutions that support businesses, service lines, and internal operations. Product Engineering develops and deploys innovative solutions that help Deloitte operate effectively and lead in the market.

Qualifications

Required:

• Bachelor's degree in computer science, software engineering, or a related field
• 5+ years of full-stack software engineering experience building and deploying web applications
• 5+ years of experience with front-end and back-end technologies such as Angular, React, Node.js, Python, C#, .NET Core, Java, Golang, and SQL or NoSQL databases
• 5+ years of experience designing and delivering cloud-native applications using Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including microservices, platform as a service, or functions as a service
• 5+ years of experience using Agile, DevSecOps, continuous integration and continuous deployment tools, GitHub, Azure DevOps, or SonarQube in software delivery
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available

Preferred:

• Master's degree in computer science, software engineering, or a related field
• Experience with artificial intelligence, machine learning, or generative AI solutions
• Experience translating business requirements, architecture, or user experience designs into technical specifications
• Experience with automated testing, unit testing, and production deployment support
• Experience leading technical design, code reviews, or engineering workstreams

The Deloitte Encore Program is specifically designed to enable professionals who have left the workforce to return to work with confidence. This program offers an opportunity to improve your skills in a client service environment, coupled with mentorship to support professional growth. The Encore program is an excellent opportunity to reignite your professional career

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 $88,600 to $181,900.

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.