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 TeamJoin 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