About the role

  • Help drive the design, development, and operation of cloud deployment pipelines in AWS.
  • Partner with internal squads to accelerate delivery via automated pipelines and Generative AI
  • Deliver platform engineering initiatives aligned with enterprise cloud first strategy.
  • Collaborate with cross-functional teams to deliver scalable and secure solutions.
  • Provide technical leadership and mentorship to engineering teams.
  • Champion DevSecOps practices and Site Reliability Engineering (SRE) principles.

Requirements

  • Bachelor’s degree in Computer Science or related field, or equivalent experience
  • 8–10 years of software engineering experience with a focus on automation and SDLC
  • 3–5 years of hands-on experience in AWS cloud development and migration
  • Proficiency in languages such as Python, NodeJS, Angular, GoLang, and Java
  • Experience with Infrastructure as Code (Open Tofu, AWS CloudFormation)
  • Strong understanding of cloud architecture and platform resiliency
  • Proven ability to communicate effectively with senior leadership.
  • Certifications in AWS, Kubernetes, or AI technologies preferred
  • Experience mentoring junior engineers and fostering team growth preferred
  • Expertise in Kubernetes, AWS Native Services, and Serverless Technologies (Lambda, SQS, DynamoDB, S3, IAM) preferred
  • Familiarity with Generative AI and its integration into cloud platforms preferred
  • Strong DevSecOps background with secure CI/CD pipeline implementation preferred
  • Experience with observability tools (DataDog, Splunk, Prometheus, Grafana) preferred
  • Hands-on experience with Jenkins Core, Artifactory, and Runtime Monitoring preferred
  • Database experience with DynamoDB, PostgreSQL, and Oracle preferred
  • Solid foundation in Linux system administration, networking, and load balancing preferred
  • Strong problem-solving skills across systems, networks, and applications preferred
  • Excellent interpersonal and communication skills with a collaborative mindset preferred.

Benefits

  • Hybrid work model, requiring onsite presence every other week
  • Professional development opportunities

Job title

Director, Cloud Engineering

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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