— 2+ YOE as DevOps/SRE/Cloud Engineer;
— Strong sense of architecture, Designed and built for fault tolerance, scale, stability and enclosed within CI/CD processes;
— 2+ YOE with managing and troubleshooting production environments in the cloud;
— 2+ YOE with scripting Bash/Groovy/Python/Go;
— Vast experience managing cloud environment — AWS preferred, GCP/Azure are nice to have as well;
— 2+ YOE with metrics collection and alerting experience;
— Extensive experience with Linux systems (shell/tools/kernel/networking/Security);
— Broad experience working with containers — Kubernetes, Docker preferred.
— Experience with SaaS operations
— Experience with modern distributed databases technologies;
— Build tools for yourself and others to increase efficiency and to make hard or repetitive tasks easy and quick;
— Organized, focused on building, improving, resolving and delivering results in an Agile mindset and sense of ownership.
With us You:
— can professionally grow — we help you to see your progress with smart Professional Development Plan;
— can build your individual Training & Development strategy — we have a significant budget for your educational programs;
— can clearly see your work results — we have clear Goals List for your probation period (3 months) and quarterly performance appraisal based on your OKR;
— can maintain your financial stability — we guarantee timely and competitive payments that are reviewing based on your performance results; PE registration, handled by the Company’s accountant;
— can keep life-work balance — we provide 20 vacation days, 5 paid sick days, days for remote work, and we avoid overtime due to smart planning and time estimation;
— can be a part of the team that connected by main values (results, continuous improvement, collaboration, care and have fun) — we value open and productive communication, have team-buildings and corporate events; we care about each other and celebrate work anniversaries and personal events.
— Work closely with Dev and QA on building pipelines for delivering and deploying applications to dev and production environments;
— Design and enhance software architecture to improve scalability, service reliability, capacity, and performance;
— Write code for automating cloud infrastructure, Provisioning at massive scale;
— Work with development teams to make sure the applications fit nicely within the infrastructure and scalability/reliability is designed and implemented from the grounds up;
— Build, maintain, and scale production services across multiple clouds for complex and data-intensive cloud services;
— Tackle incidents to find the root cause;
— Write postmortem reviews and remediation recommendations.
Product is a machine learning platform for data scientists.
Our Data Science Platform tackles the toughest challenges in the predictive model building process — data integration, data enrichment and feature engineering — enabling data specialists to build machine learning models based on the best data possible.
Stack on the project: React, Redux/Mobx, HTML/CSS, Python, AWS.