Full-Time

Java Full Stack Developer Software Engineer 2

AI and Systems Co-Design

Posted on 8/21/2026

Deloitte

Deloitte

10,001+ employees

Global professional services and auditing

No salary listed

H1B Sponsorship Available

Tampa, FL, USA

In Person

Long-term on-site client service delivery; travel averages 10%.

Bachelor's

Category
Software Engineering (1)
Required Skills
Agile
High Performance Computing (HPC)
Git
SQL
Apache Kafka
Java
MongoDB
SCRUM
REST APIs
DevOps
Spring

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Requirements
  • The candidate must have at least 3 years of experience in software, systems, or embedded engineering.
  • The candidate must have at least 3 years of experience working with Java/J2EE, Core Java, and multithreading.
  • The candidate must have at least 3 years of experience developing or deploying artificial intelligence solutions, custom hardware, or high-performance platforms.
  • The candidate must have at least 3 years of experience with Spring Boot.
  • The candidate must have strong expertise in Microsoft SQL Server, including complex queries and stored procedures.
  • The candidate must have intermediate experience with Kafka or other event-driven messaging platforms.
  • The candidate must have experience building backend services in a scalable enterprise environment.
  • The candidate must have experience with Git, continuous integration and continuous delivery pipelines, and modern DevOps practices.
  • The candidate must have experience working within Agile/Scrum development teams, including sprint planning, code reviews, and collaborative solutioning.
  • The candidate must have a bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related information technology discipline, or equivalent experience.
  • The candidate must be able to work independently and collaborate as part of a team.
  • The candidate must have effective written and verbal communication skills.
  • The candidate must demonstrate meticulous attention to detail and quality of work product.
  • The candidate must be able to build and sustain professional relationships.
  • The candidate must be able to lead projects or workstreams.
  • The candidate must be able to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • The candidate must have strong interpersonal skills and a professional demeanor.
  • The candidate must be able to meet deadlines.
  • The candidate must be able to provide clear guidance to others.
  • The candidate must be able to travel 10% on average, depending on the work and clients served.
Responsibilities
  • Design, build, and maintain backend services using Java, Spring Boot, Kafka, MongoDB, and Microsoft SQL Server.
  • Develop scalable, high-performance APIs and event-driven components for market technology applications.
  • Write efficient multithreaded Java code and troubleshoot performance, concurrency, and reliability issues.
  • Create and optimize database queries, stored procedures, and data access patterns in Microsoft SQL Server and MongoDB.
  • Support integration and message-driven workflows using Kafka and related event-processing patterns.
  • Collaborate with product, architecture, quality assurance, and DevOps teams to deliver secure, stable, and production-ready solutions.
  • Participate in code reviews, technical design discussions, sprint ceremonies, and production support as needed.
  • Identify root causes of defects, implement fixes, and improve application stability and maintainability.
  • Follow engineering best practices for coding standards, testing, deployment, and documentation.
  • Communicate regularly with Engagement Managers, project team members, and representatives from various functional and technical teams, escalating matters requiring additional attention from engagement management.
  • Independently and collaboratively lead client engagement workstreams focused on process improvement, optimization, and transformation, including implementing leading-practice workflows, addressing quality deficits, and driving operational outcomes.
Desired Qualifications
  • Experience developing or deploying artificial intelligence solutions, custom hardware, or high-performance platforms.
  • Proven ability to communicate complex technical concepts clearly and effectively.
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
  • Ability to operate independently or with minimal supervision.
  • Ability to deliver technical demonstrations.

What Deloitte does: Deloitte provides professional services to organizations, offering a range of services including consulting, auditing, tax, and advisory work to help clients improve performance and manage risk. How its products work: It blends practical advice with hands-on implementation through a global network of member firms and specialists. Teams assess clients’ needs, develop strategies, and help execute processes, controls, and transformations while upholding professional standards and integrity. How it differs from competitors: It operates at a large scale with a global network of diverse professionals, bringing cross‑disciplinary expertise and a wide range of services to many industries, which allows it to address complex challenges from multiple angles. What its goal is: To help clients and society become stronger by enabling sustainable progress and responsible growth through trusted services and collaboration.

Company Size

10,001+

Company Stage

Late Stage VC

Total Funding

$17.1M

Headquarters

Madrid, Spain

Founded

1845

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Simplify Jobs

Simplify's Take

What believers are saying

  • The London AI Studio targets production deployments in four weeks, speeding client conversion.
  • Deloitte plans 1,000 UK AI certifications on Google Cloud, strengthening delivery capacity.
  • ControlCatalyst.AI automates SOX and controls work, improving margins across audit engagements.

What critics are saying

  • Deloitte UK planned voluntary audit cuts June 16, 2026, signaling stagnant revenue.
  • SCANA settlement reached January 30, 2026, keeps audit-liability scrutiny intense.
  • Agentic AI from Google and Microsoft commoditizes Deloitte advice, eroding partner fees.

What makes Deloitte unique

  • Deloitte Omnia's agentic intelligence launched June 26, 2026 across 85,000 auditors.
  • ControlCatalyst.AI launched August 5, 2026, bundling GenAI and agentic AI for controls.
  • Deloitte AI Studio London opened June 17, 2026 with Google Cloud and Gemini.

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Benefits

Professional Development Budget

Hybrid Work Options

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