Job Description
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Full Stack Developer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Work You'll Do/Responsibilities
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.
Qualifications
Required
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.
Work You'll Do/Responsibilities
- Design, develop, and maintain software solutions in an agile environment, applying deep experience delivering production-ready applications.
- Build and support cloud applications using AWS services such as EC2, S3, Lambda, API Gateway, and RDS or DynamoDB.
- Develop application components using modern languages and frameworks, including Python, Java, Angular, and Go.
- Apply authentication and security best practices, including OAuth and Okta integrations.
- Build and maintain CI/CD workflows using tools such as GitHub Actions, and use AI-assisted development tools such as GitHub Copilot and Claude Code.
- Explore AI development platforms such as AWS Bedrock and Microsoft Copilot Studio, and apply cloud monitoring practices to support application reliability.
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.
Qualifications
Required
- 6+ years of experience delivering software solutions in an Agile environment.
- Experience designing, developing, and maintaining applications using AWS services such as EC2, S3, Lambda, API Gateway, RDS, DynamoDB, ECS, Step Functions, IAM, Glue, Athena, or Redshift.
- Programming experience in Python and Java.
- Experience with authentication and security practices, as well as CI/CD workflows such as GitHub Actions.
- Experience with AI-assisted development tools, such as GitHub Copilot or Claude Code; AI development platforms, such as AWS Bedrock or Microsoft Copilot Studio; and cloud monitoring practices.
- 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.
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.
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