Platform Engineer Lead, AWS Cloud

Hiring, Platform Engineer with below skills and experiences.

As a Cloud Engineer, you will work with senior business leaders, product owners, and technology teams to develop or enhance the record-keeping platform. Collaborating with the business and technology architects, you will leverage your cloud engineering experience for design, definition, exploration, and delivery of solutions.

Key qualifications include:

• Agile environment experience using tools like Jira and Confluence

• Knowledge of cloud architecture, networking, DevOps toolchains

• Proficiency in Python and Unix scripting.

You should be passionate about delivering high-quality, scalable solutions while focusing on customer needs and being open to challenges. You'll influence stakeholders, support team formation, and deliver a greenfield solution, collaborating and sharing knowledge with the global team.

About you

This role requires a proactive engineer with strong technical background and influence, who can work with development teams on technology architecture, cloud practices, troubleshooting, and implementation.

Responsibilities:

• Provide technical expertise in design and coding.

• Collaborate with product owners to identify improvements and customer requirements.

• Ensure timely, efficient, and cost-effective delivery.

• Manage stakeholders across Technology and Business teams.

• Ensure technical solutions meet functional and non-functional requirements and align with Global Technology Strategies.

• Serve as a trusted advisor to the business.

• Partner with Architecture, business, and central groups within a global team. The ideal candidate will possess over six years of experience as a software engineer, with expertise in the following areas:

• Extensive experience with Kubernetes (K8s) for deploying, managing, and maintaining containerized applications.

• In-depth knowledge of AWS services, including EC2, VPC, IAM, Serverless offerings, RDS, Route 53, and CloudFront.

• Proficiency in leveraging generative AI for daily tasks, utilizing agents and co-pilots to build, test, and manage applications and code.

• Comprehensive understanding of agentic, A2A, MCP, RAG, and AI concepts.

• Experience with monitoring and logging tools for Kubernetes clusters.

• Strong working knowledge of containerization technologies such as Docker.

• Proven experience in managing monolithic record-keeping platforms within DevOps and deployment pipelines.

• Understanding of UNIX system architecture.

• Solid grasp of networking core concepts.

• Advanced knowledge and expertise in serverless architecture and related AWS offerings.

• Proficiency in Terraform, including core concepts and hands-on implementation.

• Hands-on experience with Unix scripting and Python programming.

• Practical experience with CI/CD tools such as Jenkins and Ansible.

• Familiarity with container technologies which will be advantageous.

• Working knowledge of APIs, caching mechanisms, and messaging systems.

• Mastery of at least one programming language or framework, such as Java, NodeJS, or Python.

• Expertise in test-driven development (TDD) and pair programming best practices alongside CI/CD pipelines.

• Excellent communication skills and a keen interest in a collaborative pair-programming environment.

• A strong passion for professional growth and addressing challenging problems. This position demands candidates who are committed to continuous learning and capable of tackling complex issues with innovative solutions.