Cloud Software Engineer Jobs at Deloitte with Visa Sponsorship
Deloitte hires Cloud Software Engineers across its cloud transformation, modernization, and managed services practices, working with clients spanning every major industry. The firm has a well-established infrastructure for sponsoring work visas, making it a realistic target for international candidates pursuing cloud roles in consulting.
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INTRODUCTION
As a Lead ServiceNow 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 craftsmanship 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. Recruiting for this role ends on 12/13/2025.
KEY RESPONSIBILITIES:
- Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
- Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.
- Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
- Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
- Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
- Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
- Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.
- Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
- Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
- Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
THE TEAM:
US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
THE SUCCESSFUL CANDIDATE WILL POSSESS:
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
REQUIRED QUALIFICATIONS:
- A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
- Minimum 5 years of hands-on experience with ServiceNow development, including JavaScript, Business Rules, Script Includes, UI Actions, Client Scripts, Flow Designer, ServiceNow APIs, and GlideRecord queries.
- Minimum 5 years of experience with ServiceNow cloud-native platform capabilities such as ITSM, ITOM, CMDB, ITBM, HRSD, CSM, and ServiceNow integration.
- Minimum 1 year of experience with ServiceNow AI/ML and GenAI features such as Predictive Intelligence, Virtual Agent, and Now Intelligence.
- Prior experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers such as Azure, AWS, or GCP.
- Prior software engineering experience with an understanding of Business Context Diagrams (BCDs), sequence, activity, state, entity relationship, and data flow diagrams, as well as OOP/OOD, data structures, algorithms, and code instrumentation.
- Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, and SonarQube to rapidly deliver high-quality solutions, as well as familiarity with ServiceNow-specific tools like ServiceNow Studio, Automated Test Framework (ATF), and ServiceNow CI/CD practices.
OTHER:
- Ability to travel 10%, on average, based on the work you do and products you build.
- Limited immigration sponsorship may be available.
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 $97,600-$200,600. 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.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
PXE_JOBS
EA_ExpHire
RITM9581685

INTRODUCTION
As a Lead ServiceNow 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 craftsmanship 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. Recruiting for this role ends on 12/13/2025.
KEY RESPONSIBILITIES:
- Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
- Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.
- Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
- Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
- Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
- Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
- Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.
- Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
- Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
- Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
THE TEAM:
US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
THE SUCCESSFUL CANDIDATE WILL POSSESS:
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
REQUIRED QUALIFICATIONS:
- A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
- Minimum 5 years of hands-on experience with ServiceNow development, including JavaScript, Business Rules, Script Includes, UI Actions, Client Scripts, Flow Designer, ServiceNow APIs, and GlideRecord queries.
- Minimum 5 years of experience with ServiceNow cloud-native platform capabilities such as ITSM, ITOM, CMDB, ITBM, HRSD, CSM, and ServiceNow integration.
- Minimum 1 year of experience with ServiceNow AI/ML and GenAI features such as Predictive Intelligence, Virtual Agent, and Now Intelligence.
- Prior experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers such as Azure, AWS, or GCP.
- Prior software engineering experience with an understanding of Business Context Diagrams (BCDs), sequence, activity, state, entity relationship, and data flow diagrams, as well as OOP/OOD, data structures, algorithms, and code instrumentation.
- Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, and SonarQube to rapidly deliver high-quality solutions, as well as familiarity with ServiceNow-specific tools like ServiceNow Studio, Automated Test Framework (ATF), and ServiceNow CI/CD practices.
OTHER:
- Ability to travel 10%, on average, based on the work you do and products you build.
- Limited immigration sponsorship may be available.
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 $97,600-$200,600. 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.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
PXE_JOBS
EA_ExpHire
RITM9581685
See all 435+ Cloud Software Engineer at Deloitte jobs
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Get Access To All JobsTips for Finding Cloud Software Engineer Jobs at Deloitte Jobs
Align your cloud certifications to client delivery
Deloitte's cloud engineering roles are built around client-facing delivery, not internal IT. AWS Solutions Architect, Azure DevOps Engineer, or GCP Professional certifications signal you can contribute to billable engagements from day one, which strengthens your case at offer stage.
Target practice areas with active cloud programs
Deloitte structures hiring through industry practices like Government and Public Services, Financial Services, and Technology. Cloud transformation mandates are concentrated in these verticals, so applications tied to a specific practice land with more relevance than open-ended submissions.
Clarify your visa category before the offer conversation
Deloitte sponsors H-1B, E-3, and H-1B1 visas, and each follows a different filing path. If you're Australian or a Chilean or Singaporean national, flag your eligibility early so the recruiting team routes your offer through the correct process from the start.
Understand how project staffing affects your H-1B petition
Consulting H-1B petitions require a certified Labor Condition Application filed with DOL before USCIS can adjudicate your petition. Because Deloitte staff engineers across multiple client sites, your LCA may need to cover multiple work locations, which can extend the preparation timeline by several weeks.
Use Migrate Mate to filter Cloud Software Engineer roles at Deloitte
Deloitte posts cloud engineering openings across dozens of practice areas simultaneously, making it hard to identify which roles explicitly support visa sponsorship. Use Migrate Mate to filter Deloitte's active Cloud Software Engineer listings by visa type so you're applying to positions that match your authorization pathway.
Prepare for a technical screen grounded in cloud architecture
Deloitte's cloud engineering interviews typically include a scenario-based architecture round alongside a behavioral component. Practicing cloud design problems specific to enterprise migration or hybrid infrastructure gives you a concrete edge over candidates with only product-company backgrounds.
Cloud Software Engineer at Deloitte jobs are hiring across the US. Find yours.
Find Cloud Software Engineer at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Cloud Software Engineers?
Yes, Deloitte sponsors H-1B visas for Cloud Software Engineers and has a dedicated immigration team that manages the process. Because H-1B sponsorship in consulting requires a certified Labor Condition Application from DOL before the USCIS petition is filed, it's worth confirming sponsorship intent with your recruiter early in the offer process so the timeline stays on track.
How do I apply for Cloud Software Engineer jobs at Deloitte?
Applications go through Deloitte's careers portal, where Cloud Software Engineer roles are posted under specific practice areas and service lines. Because openings are distributed across multiple business units, you can use Migrate Mate to browse Deloitte's current Cloud Software Engineer listings filtered by visa type, which saves time identifying the roles most relevant to your sponsorship situation.
Which visa types does Deloitte sponsor for Cloud Software Engineer roles?
Deloitte sponsors H-1B, H-1B1, and E-3 visas for Cloud Software Engineers, as well as employment-based Green Card pathways including EB-2 and EB-3. H-1B is the most common route for most international candidates. E-3 applies exclusively to Australian citizens, and H-1B1 is available to nationals of Chile and Singapore. Each visa type has a different filing process and timeline.
What qualifications does Deloitte expect for Cloud Software Engineer roles?
Most Cloud Software Engineer positions at Deloitte require a bachelor's degree in computer science, information systems, or a related engineering field. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) is expected, and professional certifications carry real weight in the evaluation. Client-facing consulting experience or the ability to communicate technical concepts to business stakeholders is a differentiator at more senior levels.
How long does the visa sponsorship process take at Deloitte for a Cloud Software Engineer?
For H-1B sponsorship, the full timeline from offer acceptance to work authorization typically runs several months, covering LCA certification with DOL (usually two to four weeks) and USCIS adjudication. Premium processing is available and can reduce the USCIS decision window to 15 business days. E-3 and H-1B1 petitions generally move faster since they aren't subject to the annual H-1B cap or lottery.
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