Test Engineer

At Egnyte we build and maintain our flagship software: a secure content platform used by companies like Red Bull and Yamaha.

We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.  

We have 300+ engineers spread across the US, Poland, and India.

You will be part of the Site Reliability Engineering Team. This role involves the design, scale, performance tuning, monitoring, and administration activities on the various databases (majority on MySQL).

Your day-to-day at Egnyte:

• Build, scale, and administer a large fleet of MySQL servers spread over multiple data centers with a focus on performance, scale, and high availability.
• Monitor and troubleshoot critical performance bottlenecks for MySQL databases before it causes downtime.
• Review and assess the impact of database schema design, topology changes prior to their implementation
• Ensure that databases are secured, maintained, backed up, and highly available.
• Review stress testing results and provide recommendations to development teams
• Automate anomaly detection to surface databases with failures, IOPS, deadlocks, and other failure reasons.
• Automate management tasks, streamline processes, and perform standard administrative functions

About you:

• Understanding of MySQL’s (5.7+) underlying storage engines
• Knowledge of Performance and scalability issues with MySQL
• Strong experience with MySQL HA using Orchestrator/ProxySQL/Consul/Pacemaker
• Experience with configuration management like Puppet/Ansible
• Knowledge of limitations in MySQL and their workarounds in contrast to other popular relational databases
• Automation experience with ‘Python/Ruby/Perl’ and ‘SQL’ scripting
• Analytical skills necessary to perform troubleshooting of errors and performance issues on a large array of Mysql cluster spread over multiple data centers.

Due to the nature of the role, it would be nice if you have also:

• Experience in other distributed systems like Redis, Elasticsearch, Memcached.
• Experience in managing a large fleet of database servers.
• Knowledge of HA and scalability issues with PostgreSQL

Roles and Responsibilities 

Build database systems of high availability and quality depending on each end user’s specialised role

Design and implement database in accordance to end users information needs and views

Define users and enable data distribution to the right user, in appropriate format and in a timely manner

Use high-speed transaction recovery techniques and backup data

Minimise database downtime and manage parameters to provide fast query responses

Provide proactive and reactive data management support and training to users

Determine, enforce and document database policies, procedures and standards

Perform tests and evaluations regularly to ensure data security, privacy and integrity

Skills

Proven working experience as a Database Administrator

Hands-on experience with database standards and end user applications

Excellent knowledge of data backup, recovery, security, integrity and SQL

Familiarity with database design, documentation and coding

Previous experience with DBA case tools (frontend/backend) and third party tools

Problem solving skills and ability to think algorithmically

Degree in a computer discipline or relevant certification

E-commerce solution sales is preferred

Identify new business opportunities through research and analysis of market trends and customer 

Source new sales opportunities through outbound reach, cold emails, skype chats or phone calls or anything to reach out to prospective customers

Execute planned sales activities and develop a target list of high potential new customers

Attend industry events and conferences to network and generate new business opportunities

Achieve monthly & quarterly quotas

Perform effective online demos to prospects and Create and deliver sales presentations to prospective clients

Title: Cloud DevOps Engineer 

Role: Individual Contributor (4-8 yrs)  

Requirements: 

• Energetic self-starter, a fast learner, with a desire to work in a startup environment  
• Experience working with Public Clouds like AWS 

• Operating and Monitoring cloud infrastructure on AWS. 
• Primary focus on building, implementing and managing operational support 
• Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure. 
• Expert at one of the scripting languages – Python, shell, etc  
• Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc 

• Handling load monitoring, capacity planning, and services monitoring. 
• Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues. 
• Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc

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Job Description - Full Stack Architect 

• Building interactive consumer data from multiple systems and RESTfully abstract to the UI through a Node.js backend
• Define code architecture decisions to support a high-performance and scalable product with a minimal footprint
• Address and improve any technical issues
• Collaborate well with Engineers, Architects, Managers to design and create advanced, elegant and efficient systems

• Proven 2+ years of relevant experience
• Hands-on experience in Javascript
• Expertise knowledge in React JS, Node JS & SQL

• 💰  Early-stage, ed-tech, funded, growing, growing fast.
• 🎯  Mission Driven: Make Indonesia competitive on a global scale.
• 🥅  Build the best educational content and technology to advance STEM education 
• 🥇  Students-First approach

• ❤️  Love what we do
• 🎮  Committed to making learning fun, accessible, and safe 
• 🤝  Teams are better. We value ownership, responsibility, transparency
• 🌏  Global, diverse backgrounds. Been there, done that.

• CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
• You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
• You’re exploring what Data Science can do for the students, parents, teachers, educators.
• You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
• The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
• You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

• Highly-skilled and experienced Data Scientist and leader
• You are interested in creating next-gen data-powered education tech products. 
• You’ve worked in a Data Science role before where you took a data product to market
• You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
• You’ve built platforms and systems from scratch
• You have a track record of developing and deploying data-science models to production

• End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
• Deep Learning and Computer Vision models, ideally in a production environment
• Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
• Experience in Scala/Java/Go/C/C++ is a plus plus
• Airflow/Luigi/Oozie and the likes
• Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

• B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
• 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
• Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
• Experience developing a data science strategy, building the roadmap, and leading the execution
• Track record of recruiting talent in analytics and data science

• You’ve won algorithm and machine learning competitions such as ACM and Kaggle
• You have research publications and citations in top tier journals 
• You have a portfolio of side projects and can show it to us