Senior Architect, Software Engineering

Credera Experienced Hiring•Chicago, IL

About The Position

As a Senior Architect at Credera, you will play a pivotal role in designing, estimating, and executing technology implementation projects for our clients. You will recommend the most suitable technological approaches, team structures, and skill sets to effectively capture and synthesize client requirements. Additionally, you will mentor and develop team members, fostering their growth and ensuring high performance. Your responsibilities will include supporting practice and company development through leading research and development initiatives, peer training, and creating reusable software development accelerators. Your work will be outcome-focused, as you will inform, refine, and execute a client’s vision. You will also ensure the quality and efficiency of technology implementation projects by applying Credera’s best practices and industry standards. Leading one or more teams of skilled technologists, you will provide the necessary leadership, mentoring, and development to drive success. On certain projects, you will lead the design and build of advanced solutions involving agentic AI workflows, ML-powered decision engines, and custom chatbots. You will tackle data challenges to drive business value, whether through traditional analytics or by preparing data for advanced AI/ML models.

Requirements

Experienced, hands-on software architect with at least 8 years in the industry or technology consulting
Spend at least 40% of your time actively developing code
Passion for technology and staying up to date on the latest application development technologies and trends
Deep understanding of multiple technology development stacks across UX, middle tier, and database platforms
Well-versed in different software development methodologies
Experience with one or more of the following programming languages: Java, Scala, .NET, Rust, Client and Server-side JavaScript (React, Angular, NodeJS), Python, Ruby
Experience with one or more of the following cloud platforms and container technologies: AWS, Azure, Google Cloud Platform (GCP), Docker, Kubernetes, and serverless architectures such as AWS Lambda
Experience with one or more of the following DevOps and automation tools: CI/CD platforms (e.g., GitHub Actions, Azure DevOps), infrastructure as code tools (e.g., Terraform), cloud-native APIs, testing automation tools (e.g., Selenium, Cypress), and data automation tools (e.g., Liquibase)
Incorporate the usage of AI tooling efficiencies and code assistance tooling in your everyday workflows
Accomplished at mentoring, leading, and developing others
Currently lead teams that develop complex, high-volume, mission-critical enterprise solutions that are built from the ground up, using a variety of different technical components, and are deployed in a highly available environment
Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
Ability to handle complex organizational dynamics to deliver a solution to a client’s satisfaction
Drive business development and are comfortable with developing business cases and justifications that grow the customer relationship and satisfaction

Responsibilities

Designing, estimating, and executing technology implementation projects
Recommending suitable technological approaches, team structures, and skill sets
Mentoring and developing team members
Supporting practice and company development through research and development initiatives, peer training, and creating reusable software development accelerators
Informing, refining, and executing a client’s vision
Ensuring the quality and efficiency of technology implementation projects
Leading one or more teams of skilled technologists
Leading the design and build of advanced solutions involving agentic AI workflows, ML-powered decision engines, and custom chatbots
Tackling data challenges to drive business value

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