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Software Engineer (Full Stack, Backend Focus) (Remote)

External
imply logoImply · Burlingame, CA
$135K–$175K/yrFull-timeOn-site1mo ago
AgileAngularApacheCI/CDJavaLess
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About the role

Imply is looking for a Software Engineer to build the industry's first Observability Warehouse. The focus of this role is to build user-facing systems and services that support and enable Imply's solution to unlock the power of open-source Apache Druid to be the go to solution for a high-performance, cost-efficient data layer for existing observability tools.

Responsibilities

  • Working as part of a cross-functional team to ensure that the enterprise-grade services and interfaces we build support the needs of our product in areas of Identity, APIs, and Billing
  • Collaborating closely with our product, user experience, and quality teams to quickly and iteratively deliver high value features that are scalable, accurate, and secure
  • Participating in the ongoing effort of improving how we work with each iteration, as part of a collaborative team of application engineer professionals
  • Writing resilient tests to cover all functional requirements and conducting security audits

Requirements

  • 3+ years of API or backend development using Java or NodeJS
  • Solid understanding of modern software engineering practices such as agile methodologies and CI/CD, with a deep focus on testability and quality
  • Proficiency with Java is preferable, or a deep understanding of another statically-typed language for API or micro-services development
  • Bachelor's degree in computer science, engineering, or a related field, or equivalent professional experience
  • Bonus Points
  • Experience with authentication, authorization and security from APIs to single-page applications
  • Experience with building production-grade single-page applications using Typescript and React or similar libraries (Vue, Angular, Svelte, etc)
  • Experience working as part of an engineering team at a software-as-a-service based company

Benefits

100% Paid Medical, Dental and Vision Benefits401(k) ProgramFertility CoverageDependent Care FSAMental Health SupportLife and AD&D InsuranceUnlimited Paid Time Off - USA OnlyWellness StipendHome Office Equipment ReimbursementPre-Tax Commuter BenefitsPet InsuranceCompensation: $135,000 - $175,000Health insuranceDental insuranceVision insurance401(k)Equity / stock optionsPerformance bonus

Additional Information

At Imply, our mission is to empower people and organizations to achieve more with their data. We believe that better insights lead to better decisions, and that the right technology can remove barriers, spark innovation and create lasting impact. In addition to our successful database business, we're building the industry's first observability warehouse, Imply Lumi. Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing observability tools with zero disruption. In this role, you will help redefine what is possible with observability and security data. As part of the Engineering Team you will play an important role in bringing Imply Lumi to life. Lumi delivers lightning fast queries, significant cost savings and seamless integration with leading observability technologies while giving customers the freedom to innovate without vendor lock-in. You will be a part of the team innovating and building this first-in-class technology that allows our customers to unlock new levels of speed, scale and value from their data. Backed by leading investors including a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory, transforming how organizations manage and gain insights from their observability and security data. Our customers, including Pepsi, Reddit, Roblox, Salesforce, and others, rely on our technology to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of innovators and problem-solvers who are reshaping the future of data!


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