Technical Lead

```

Company Description

Prama specializes in Data, Cloud, and AI solutions, collaborating with businesses worldwide to develop platforms and products that offer valuable insights and drive business growth. Our comprehensive services include architectural assessment, strategy development, and execution to create secure, reliable, and scalable systems. We are experts in creating innovative platforms across various industries, helping clients to overcome complex business challenges. Headquartered in Phoenix, Prama has offices in the USA and India, dedicated to delivering cutting-edge solutions that elevate the digital experience for corporations.

Role Description

-

Key Responsibilities:

·       Lead, mentor, and manage a team of software engineers and developers

·       Oversee full software development lifecycle including planning, design, development, testing, and deployment

·       Participate in architectural decisions and ensure technical solutions meet performance, scalability, and security standards

·       Collaborate closely with cross-functional teams including DevOps, QA, Product, and Data Science

·       Drive engineering best practices such as code reviews, automated testing, CI/CD, and agile methodologies

·       Ensure timely delivery of high-quality features and solutions

·       Identify opportunities for process improvement, technical innovation, and team growth

·       Report on team performance, risks, and project progress to senior leadership

Required Skills & Experience:

·       Strong hands-on experience with Python and/or Java development

·       Good understanding of DevOps tools like Jenkins, Docker, Kubernetes, Git, CI/CD pipelines

·       Experience leading development teams (min. 3+ years in a managerial role)

·       Strong grasp of system design, architecture patterns, and software engineering best practices

·       Excellent problem-solving, decision-making, and stakeholder management skills

·       Comfortable working in agile/scrum environments

Good to Have:

·       Exposure to AI/ML concepts, tools, or platforms

·       Experience working with cloud platforms such as AWS, GCP, or Azure

·       Familiarity with containerization and infrastructure-as-code (Terraform, Ansible)