About the Role :

We are seeking a Lead Software Engineer (LSE) to drive the design and evolution of our cloud-native platform. This role is responsible for owning end-to-end platform capabilities, shaping architectural direction, and ensuring high standards of scalability, reliability, and developer experience. As a Lead Engineer, you will operate at the intersection of architecture, execution, and team leadership, working across squads to build cohesive and future-ready platform solutions.

Responsibilities :

- Develop platform features to the highest engineering standards with an AI-first mindset.

- Spike robust solutions to clear architectural runway ahead of platform feature development.

- Take personal responsibility for the overall technical performance of the team, including capabilities, quality, stability, and velocity.

- Perform code reviews focusing on code quality, design, and implementation.

- Regularly identify opportunities for code refactoring and performance optimizations, and champion these efforts within the team.

- Mentor junior software engineers by sharing best practices and providing guidance on proficiency.

- Identify technical constraints to engineering effectiveness and lead initiatives to address them.

- Advise product management on technical opportunities and constraints.

- Identify, understand, and implement technology trends and innovations relevant to the Appian Platform.

- Effectively communicate technical designs verbally, visually, and in writing for technical audiences of all sizes.

- Contribute to Appian's long-term documentation by publishing relevant, high-quality content to the Engineering's technical documentation site.

Tech Stack & Requirements :

- 11+ years of proven experience as a Lead Engineer with a strong focus on AWS.

- Deep hands-on experience with AWS services including EC2, Auto Scaling, EKS, ECS, Lambda, VPC, ALB/NLB, Route 53, PrivateLink, EBS, EFS, S3, IAM, KMS, and Secrets Manager.

- Experience with programming languages such as Java, Python, or GoLang.

- Strong proficiency in Infrastructure as Code using Terraform or any equivalent.

- Strong proficiency in Kubernetes.

- Experience with implementing and managing logging and monitoring solutions such as CloudWatch and CloudTrail.

- Demonstrated ability to track, analyze, and optimize AWS cloud costs.

- Excellent problem-solving and communication skills.

- Ability to work independently and as part of a team in a fast-paced environment.