Location : Chicago, IL (onsite)

10+ yrs and above

Job Description :

 

 

• Bachelors degree in Computer Science or a related discipline and experience in information system architecture methodologies, or an equivalent combination of education and work experience.
• 10+ years of strong hands-on software engineering experience building large-scale systems and platforms.
• Expert understanding of public cloud services, experience with Azure required or AWS.
• Good programming experience in Python, Java, .Net etc. and familiarity with Microservices, DDD and Enterprise API architecture patterns.
• Architecting AI/ML solutions and understanding the lifecycle of ML Apps and ML Ops a plus
• Experience in containers/Kubernetes ecosystem, Pivotal Cloud Foundry or similar technologies.
• Experience in designing, building and deploying large scale, stream transaction systems that are highly scalable, have high through-put, resilient, reliable and cloud-native features
• Experience and understanding of Agile and DevOps methodologies and familiar with tools like JIRA, Confluence, Jenkins, Git and Azure DevOps.
• Excellent consultative and communication skills, and the ability to work effectively with client, partner, and IT management and staff
• Well versed with Well Architected frameworks driving Operation excellence, Security, Reliability, Resilience, Performance efficiency, Cost Optimization, and Sustainability solution and Application building.
• Awareness of security frameworks and tools such as SSO, SAML, OAuth, JWT, Okta and Ping required.? Knowledge of IaC and automation tools such as Terraform.
• Financial Services experience required.Nice to Have:? Custody/Outsourcing Accounting domain experience is a plus
• Azure certification is a plus.Daily Tasks & Responsibilities:A successful candidate will be passionate about leveraging modern cloud architectures and AI/ML technologies to make significant business impact and bring operational efficiencies:
• Evaluates, prototypes, builds POCs and recommends emerging Cloud technologies and platforms that best fit project/business needs.
• Promotes sharing of expertise through consulting, presentations, and documentations, etc.? Translates business needs into technical capabilities within a comprehensive overall solution.
• Operates independently with minimal guidance, handling numerous analysis and design priorities without losing sight of strategic context.
• Displays a balanced, cross-functional perspective, liaising with the business to help improve efficiency, effectiveness and productivity
• Provides leadership and guidance to agile engineering teams, fostering an environment that encourages employee participation, teamwork, and communication.

 

Key Skills:
AI/ML, Azure/AWS, Java/Python/.net
.NET, Architect, AWS, Data Architect, Python