Job type full-time
Full job description
Programming experience with at least one modern language such as c++, c#, java, python, golang, powershell, ruby
2+ years of non-internship professional software development experience
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
Bachelor`s degree in computer science or engineering
Computer science fundamentals in object-oriented design, data structures and algorithms.
Working knowledge of linux system administration
Experience of systems automation using bash, python, perl, etc
Solid understanding of linux performance tuning and problem diagnosis
Ability to take a project from scoping requirements through actual launch of the project
Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
Interested in making an impact on the machine learning and ai ecosystem? as a sysde on the amazon sagemaker notebooks team, you’ll own the core platform (control plane and data plane) for various interactive applications (e.gJupyterlab)Our team`s mission is to enable any interactive application to scale reliably and securely so any data scientist, developer, or student can launch a wholly configured and collaborative workspace in the cloudYou will work in the company of world experts and there are immense learning opportunities.
Engineers on this team get to:
Develop in multiple layers of the stack including distributed workflows, high throughput data planes, linux networking, and system security.
Build fundamental primitives in the cloud for enabling data scientists/data engineers workflows.
Develop/maintain operational rigor for a fast-growing aws service.
A successful engineer joining the team will do much more than write code and triage problemsThey will work with amazon`s largest and most demanding customers to address specific needs across a full suite of servicesThey will dive deeply into technical issues and work diligently to improve the customer experienceThe ideal candidate will:
Be great fun to work withOur company credo is `work hardHave funMake history`The right candidate will love what they do and instinctively know how to make work fun.
Have strong linux & networking fundamentalsThe ideal candidate will have deep experience working with linux, preferably in a large scale, distributed environmentYou understand networking technology and how servers and networks inter-relateYou regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues.
Love to codeWhether its building tools in java or solving complex system problems in python, the ideal candidate will love using technology to solve problemsYou have a solid understanding of software development methodology and know how to use the right tool for the right job.
Think bigThe ideal candidate will build and deploy solutions across thousands of devicesYou will strive to improve and streamline processes to allow for work on a massive scale.
Note that this is a backend engineering position.
Assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture.
Engage with customers and other aws partners
Serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers
You`ll be well supported with by a group with deep technical chops, including multiple senior and principal engineers.
What is sagemaker?
Amazon sagemaker (https://aws.amazon.com/sagemaker/) is a fully-managed machine learning platform that makes it easy to build ml models, manage them, and integrate them with custom applications for batch or online predictionsSagemaker takes away the “heavy-lifting” normally associated with large-scale machine learning implementations so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand.
What is sagemaker notebooks?
An amazon sagemaker notebook instance is a machine learning (ml) compute instance running the jupyter notebook appSagemaker manages creating the instance and related resourcesUse jupyter notebooks in your notebook instance to prepare and process data, write code to train models, deploy models to sagemaker hosting, and test or validate your modelsRead more at https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html
Fundamentally, the team aims to get the customer from `i need ml` to `i am using ml successfully`, with minimal effort / maximum velocity.
We aim to become the gold standard for managed ml notebooks, by providing customers managed platforms with the latest ml-capable hardware, running the latest ml-specific software and working towards a provisioning / connectivity experience which is amortized to the experience of running notebooks locally, coupled with the flexibility / scalability /customizibility afforded by the cloud.
Inclusive team culture
Here at aws, we embrace our differencesWe are committed to furthering our culture of inclusionWe have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globallyWe have innovative benefit offerings, and host annual and ongoing learning experiences, including our conversations on race and ethnicity (core) and amazecon (gender diversity) conferencesAmazon’s culture of inclusion is reinforced within our 14 leadership principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balanceIt 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 lifeWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillmentWe 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 membersWe have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorshipOur senior members enjoy one-on-one mentoring and thorough, but kind, code reviewsWe 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.
Experience of network fundamentals (dns, dhcp, tcp/ip, routing, switching, http)
Experience building complex software systems that have been successfully delivered to customers
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience of monitoring frameworks (such as cloudwatch, datadog, grafana, elastic or similar)
Amazon is committed to a diverse and inclusive workplaceAmazon 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 statusFor individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the los angeles fair chance ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the san francisco fair chance ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in new york city who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against covid or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
Posted 3 days ago