Amazon Looking for Senior SDE, AWS OpenSearch Observability at Austin, TX Full Time

Job summary
Are you interested in building out a next generation cloud-scale analytics and observability platform ? Do you want to revolutionize the way people manage and derive insights from vast volumes of data in the cloud? Do you want to have direct and immediate impact on a large number of AWS users? Do you want to be part of a fast-growing AWS service and work in a fast paced startup style environment?

Amazon OpenSearch Observability makes it easy to deploy, operate, and scale OpenSearch for log analytics, trace and metrics analytics, application monitoring and many other use cases of devops, netops, secops augmented by advanced ML algorithms. Amazon OpenSearch Observability is a fully managed service that leverages OpenSearch’s easy-to-use APIs and extensive real-time search capabilities to offer a predictable performant and scalable observability solution for production workloads.

At AWS, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world’s leading internet companies. The Amazon OpenSearch Observability team is part of the rapidly growing AWS Database and Analytics group. We are customer obsessed in a highly collaborative team-oriented environment.

The Amazon OpenSearch Observability team designs, develops and operates software that allows customers to index, search and analyze infrastructure and application insights data at scale in a secure, responsive, and reliable environment. The team is tackling tough data ingestion, de-noising, correlation, and analytics problems. As we expand at a tremendous rate, we are looking for innovative engineers with a passion for data, search, analytics and distributed systems to join the team:

• Design, develop and support a world-class Observability platform on OpenSearch Platform serving individuals and businesses of all sizes
• Produce bullet-proof code that is robust, efficient and maintainable; our primary languages are Java, Python, and C/C++
• Work on OpenSearch and Apache Lucene open source software to build large-scale ingestion pipelines, numerous plugins, cost-effective indexing on data lakes, AI-driven advanced correlations, anomaly detection, forecasting, alerting, remediation and more with opportunities to contribute to open source
• Develop end-to-end cloud-native solutions for application performance monitoring (APM), Security information and event management (SIEM), Network Monitoring and many more
• Work on challenging problems in areas such as data storage, query optimization, JVM performance optimization, security, machine learning and more
• Continually challenge what exists and explore what should be changed to best meet evolving customer needs
• Possess expert knowledge in large scale distributed system design and engineering best practices
• Participate in setting a vision and objectives for observability in alignment with customer needs and market opportunities
• Drive and work on algorithm and architecture design, execute and deliver results
• Join a great group of motivated, top-notch, people and work with them to solve challenging problems in a fun, collaborative environment

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 4+ years of professional software development experience
• 3+ years of programming experience with at least one software programming language
• 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Experience as a mentor, tech lead OR leading an engineering team

PREFERRED QUALIFICATIONS

• Master’s Degree in Computer Science or related engineering degree
• 6+ years of experience with public cloud infrastructure
• Experience with OpenSearch, Amazon OpenSearch Service, Apache Solr, or Apache Lucene
• Experience building customer centric enterprise products
• Code contributions to opensource projects

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.