Responsibilities
Design, implement, and maintain our AWS serverless infrastructure using AWS CDK, ensuring high availability, scalability, and security.
Own and evolve our Jenkins-based CI/CD pipelines from code commit to production deployment, continuously improving speed and reliability.
Champion the use of AI-powered tools across the engineering lifecycle to reduce manual effort and improve quality.
Build and maintain comprehensive observability solutions using DataDog, including dashboards, monitors, and AI-assisted anomaly detection.
Continuously look for opportunities to improve and modernize developer workflows and incident response through smart tooling and automation.
Work hand-in-hand with fellow software engineers to design infrastructure that supports modern serverless patterns and event-driven architectures on AWS.
Drive a culture of automation and continuous improvement – if it can be automated or made smarter, do it.
Continuously evaluate and adopt emerging tools and technologies to improve the overall development, release, and operations process.
Design, implement, and maintain our AWS serverless infrastructure using AWS CDK, ensuring high availability, scalability, and security.
Own and evolve our Jenkins-based CI/CD pipelines from code commit to production deployment, continuously improving speed and reliability.
Champion the use of AI-powered tools across the engineering lifecycle to reduce manual effort and improve quality.
Build and maintain comprehensive observability solutions using DataDog, including dashboards, monitors, and AI-assisted anomaly detection.
Continuously look for opportunities to improve and modernize developer workflows and incident response through smart tooling and automation.
Work hand-in-hand with fellow software engineers to design infrastructure that supports modern serverless patterns and event-driven architectures on AWS.
Drive a culture of automation and continuous improvement – if it can be automated or made smarter, do it.
Continuously evaluate and adopt emerging tools and technologies to improve the overall development, release, and operations process.
Requirements:
4+ years of experience as a DevOps or Cloud Infrastructure Engineer.
Hands-on experience with AWS serverless services (Lambda, API Gateway, EventBridge, Step Functions, SQS/SNS, DynamoDB, etc.).
Proficiency with AWS CDK for infrastructure as code.
Experience building and maintaining Jenkins pipelines (declarative pipelines, shared libraries, plugins).
Experience with DataDog – metrics, logs, traces, monitors, and dashboards.
Demonstrated use of AI tools in an engineering context – whether LLM-based coding assistants, AI-driven observability, intelligent CI/CD, or similar.
Good scripting skills in Python and/or Bash.
Strong understanding of cloud networking, security principles, and AWS IAM best practices.
Ability to lead DevOps practices within a cross-functional team – defining standards, driving adoption, and acting as a technical anchor for infrastructure decisions.
Proactive and self-driven, with a strong internal drive for quality and improvement.
Strong written and verbal communication skills – able to explain complex infrastructure concepts clearly to developers, stakeholders, and product managers.
4+ years of experience as a DevOps or Cloud Infrastructure Engineer.
Hands-on experience with AWS serverless services (Lambda, API Gateway, EventBridge, Step Functions, SQS/SNS, DynamoDB, etc.).
Proficiency with AWS CDK for infrastructure as code.
Experience building and maintaining Jenkins pipelines (declarative pipelines, shared libraries, plugins).
Experience with DataDog – metrics, logs, traces, monitors, and dashboards.
Demonstrated use of AI tools in an engineering context – whether LLM-based coding assistants, AI-driven observability, intelligent CI/CD, or similar.
Good scripting skills in Python and/or Bash.
Strong understanding of cloud networking, security principles, and AWS IAM best practices.
Ability to lead DevOps practices within a cross-functional team – defining standards, driving adoption, and acting as a technical anchor for infrastructure decisions.
Proactive and self-driven, with a strong internal drive for quality and improvement.
Strong written and verbal communication skills – able to explain complex infrastructure concepts clearly to developers, stakeholders, and product managers.
This position is open to all candidates.
