Are you interested in building out a cloud-scale log analytics and search 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 makes it easy to deploy, operate, and scale Opensearch for log analytics, application monitoring, full-text search, and more.
Amazon Opensearch is a fully managed service that delivers Opensearch's easy-to-use APIs and real-time capabilities along with offering predictable performance and seamless scalability 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 team is part of the rapidly growing AWS Database and Analytics group.
We are customer obsessed in a highly collaborative team-oriented environment.
Amazon Opensearch team designs, develops and operates software that allows customers to index, search and analyze documents at scale in a secure, responsive, and reliable environment.
The team is tackling data, search 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: As a Software Development Engineer on the Amazon Open search Service team, you will: .
Design, develop and support a world-class search 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 at the core of Opensearch and Apache Lucene open source software with opportunities to contribute to open source .
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 Search Services in alignment with customer needs and market opportunities · Drive and work on algorithm and architecture design, execute and deliver results · Invent the future of search and log analytics in the cloud · Join a great group of motivated, top-notch, people and work with them to solve challenging problems in a fun, collaborative environment About the team
AWS values diverse experiences.
Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.
If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services(AWS) is the world’s most comprehensive and broadly adopted cloud platform.
We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious.
Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.
That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony.
Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.
When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.