Position Summary
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
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Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.