Company Name: Domino Data Lab

Job Details: $200-240kJavaGoC++C#ScalaKotlinCSenior,and,Expert,levelRemote,from,US

Job Url: https://app.welcometothejungle.com/jobs/LrR5X6Tv?theme=favourite-technologies

Job Description: RoleWho you are8+ years previously in a software engineering individual contributor roleStrong knowledge of one or more programming languages, such as Scala, Java, Kotlin, Go, C/C++, C#Experience in design and development of large scale distributed systemsStrong understanding of data structures, algorithms, and software design principlesExcellent problem-solving and communication skillsWe value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for successWe believe in individuals who seek truth and speak the truth and can be their whole selves at workWe value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everythingWe emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the companyWe strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to applyWhat the job involvesThe Compute team at Domino is enabling customers to perform data-science activities across a range of hybrid/on-prem/cloud architecturesThe team drives Domino’s Nexus offering and continues to establish standards within Domino’s Platform Engineering organization for improved workload execution, security and scalabilityIn your first year, you will:Contribute to current Nexus architecture initiatives and milestonesWork with the engineering teams to review, prioritize and plan for architectural improvements outside of NexusDrive standards for the “operator pattern” and service architecture to ensure other engineering teams are considering and implementing maintainable patternsWork with Scale team to analyze and provide recommendations based on scale requirements of the Domino platformShare this jobReport a problem with this jobHide companyView 5 more jobs at Domino Data LabInsightsTop investors-16% employee growth in 12 monthsGlassdoor (3.7)CompanyCompany benefitsHealth & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your familyCommuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or trainLove for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kidsFlexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the worldAnnual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speedOwn your outcome: Feel supported to get your work done how and when you need to, regardless of your locationFunding (last 2 of 8 rounds)Oct 2021$100mSERIES FJun 2020$43mLATE VCTotal funding: $226.6mOur takeDomino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.FreddieCompany Specialist at Welcome to the Jungle