What you will do:

• Lead the design, development, and implementation of complex software solutions using AWS cloud technologies, Python (Django, Flask, FastAPI), Java, and DevOps practices.
• Collaborate with cross-functional teams to gather requirements, define technical specifications, and ensure successful project delivery.
• Conduct code reviews, identify areas for improvement, and ensure adherence to coding standards and software development methodologies.
• Drive continuous integration and deployment processes, leveraging DevOps tools and practices to streamline software delivery.
• Stay up to date with the latest trends and advancements in AWS, Python, Java/Kotlin, and DevOps, and proactively recommend innovative solutions to enhance our software development capabilities.
• Troubleshoot and resolve complex technical issues, ensuring the stability and performance of software applications.
• Conduct performance analysis and optimization to improve the efficiency and scalability of software systems.
• Contribute to the development and maintenance of technical documentation, including system architecture, design specifications, and user manuals.

What makes you a great fit:

• Proven experience as a Senior Software Engineer or similar role, with a focus on AWS, Python, Java/Kotlin and DevOps.
• Strong expertise in AWS cloud technologies, including AWS Managed Services, EKS, ECS, Cloudformation, Terraform.
• Extensive experience in Java/Kotlin and Python.
• Solid understanding of software development methodologies, such as Agile or Scrum.
• Proficiency in DevOps practices, including continuous integration, continuous deployment, and infrastructure as code.
• Excellent problem-solving skills and the ability to analyze complex technical issues.
• Excellent communication skills, both verbal and written, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• AWS certifications are highly desirable.
• Domain: Email, MX Records, driven through SMTP, POP, IMAP
• Identity and Directory Management like LDAP, MS AD, Okta, Auth0.
• Public cloud expertise like AWS, Azure
• Automation Frameworks like Mabl, Selenium, Robot
• CI/CD like GitHub/GitHub Actions, bitbucket, Jenkins, Terraform, CloudFormation
• Product Technology like AWS/Azure (Server and Sever-less), Docker, ECS, Kubernetes (Azure, AWS managed Kubernetes like AKS, EKS)
• Monitoring like CloudWatch, NewRelic, Kibana, Prometheus, Grafana
  
• Data Storage like AWS S3, ElasticSearch, AWS Dynamo, PostgreSQL
• Data Pipelines like DataBricks, Kafka, SQS, SNS