The company is looking to solve the problem of effectively capturing and synthesizing client requirements and delivering high-quality technology implementation projects.
Requirements
- Experience with one or more programming languages: Java, Scala, .NET, Rust, Client and Server-side JavaScript (React, Angular, NodeJS), Python, Ruby
- Experience with one or more 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 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)
- Incorporating AI tooling efficiencies and code assistance tooling in everyday workflows
- Deep understanding of multiple technology development stacks across UX, middle tier, and database platforms
- Experience with different software development methodologies and understanding of their benefits and challenges
- Experience leading teams that develop complex, high-volume, mission-critical enterprise solutions
Responsibilities
- Designing, estimating, and executing technology implementation projects for clients
- Recommending suitable technological approaches, team structures, and skill sets
- Mentoring and developing team members
- Leading research and development initiatives
- Creating reusable software development accelerators
- Informing, refining, and executing a client's vision
- Ensuring the quality and efficiency of technology implementation projects
Other
- Thrive in a fast-paced, dynamic, client-facing role
- Contribute in a team-oriented environment
- Prioritize multiple tasks to consistently meet deadlines
- Creatively solve problems in an analytical environment
- Adapt to new environments, people, technologies, and processes
- Excel in leadership, communication, and interpersonal skills
- Establish strong work relationships with clients and team members
- Generate ideas and understand different points of view
- Travel: up to 80% for a period of time, but average travel percentage over a year is typically between 10-30%
- Hybrid work model: 2 days remote, 3 days in-person
