Learngram is a Singapore based EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content. At Learngram, we are building an AI powered E-Learning platform. Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers. Founders:Vikas Goel - CEO - https://www.linkedin.com/in/vikas-goel-77 58 79 10/Raman Kishore - CTO - https://www.linkedin.com/in/kramankishore/ We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be an early member of a startup. Someone who is a passionate devops engineer, taking end to end ownership of deployment and automation, cost optimisation, release management, auto scaling, monitoring and logging, security, etc., writes good code, is highly productive and is passionate about building world class products. An ideal candidate is skilled in: Deployment of all backend services Deployment automation CI/CD Load balancing Horizontal scaling Auto scaling scripts Monitoring, logging and alerts Load testing Api testing Infrastructure cost optimisation Maintaining dev, staging and prod environments Application release and rollback Containerisation of services Infrastructure Orchestration Security Product & Customer focused Proficient with Python, Shell, Selenium, Locust, Jenkins / Bamboo, Octopus, Docker, Kubernetes, SonarCube, Logstash, Grafana / Kibana, AWS / GCP Has continuous learning attitude, high ownership, startup mindset and is optimistic. Website: https://www.learngram.ai/ Product demonstration and further details to be discussed in the call. Note: This job posting is for a full time effort for a 3-6 month contract period. There is an opportunity to get an employment offer depending on the performance in this contract period.
Roles & Responsibilities Proven experience with deploying and tuning Open Source components into enterprise ready production tooling Experience with datacentre (Metal as a Service – MAAS) and cloud deployment technologies (AWS or GCP Architect certificates required) Deep understanding of Linux from kernel mechanisms through user space management Experience on CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins). Using Monitoring tools (local and on public cloud platforms) Nagios, Prometheus, Sensu, ELK, Cloud Watch, Splunk, New Relic etc. to trigger instant alerts, reports and dashboards. Work closely with the development and infrastructure teams to analyze and design solutions with four nines (99.99%) up-time, globally distributed, clustered, production and non-production virtualized infrastructure. Wide understanding of IP networking as well as data centre infrastructure Skills Expert with software development tools and sourcecode management, understanding, managing issues, code changes and grouping them into deployment releases in a stable and measurable way to maximize production Must be expert at developing and using ansible roles and configuring deployment templates with jinja2. Solid understanding of data collection tools like Flume, Filebeat, Metricbeat, JMX Exporter agents. Extensive experience operating and tuning the kafka streaming data platform, specifically as a message queue for big data processing Strong understanding and must have experience: Apache spark framework, specifically spark core and spark streaming, Orchestration platforms, mesos and kubernetes, Data storage platforms, elasticstack, carbon, clickhouse, cassandra, ceph, hdfs Core presentation technologies kibana, and grafana. Excellent scripting and programming skills (bash, python, java, go, rust). Must have previous experience with “rust” in order to support, improve in house developed products Certification Red Hat Certified Architect certificate or equivalent required CCNA certificate required 3-5 years of experience running open source big data platforms
Job Description : ✔ Defining the over all architecture and choose the best stack, components, and subsystems for search & storage infrastructure ✔ Design & build user-friendly APIs for accessing the backend infrastructure✔ Active mentoring on engineering best practices, reducing technical debt and designing scale ready solutions.✔ Proactively identify architectural gaps and enhancements and recommending appropriate solutions.✔ Work closely with the product and customer teams to effectively drive innovative solutions and drive adoption of features.Requirements✔ Experience level 4+ years.✔ A bachelor's or master’s degree in Computer Science/Software Engineering✔ Production experience with a scalable search engine or building storageinfrastructure for scaled out consumer companies.
Essential functions of this profile include: Mean stack development AWS deployments and monitoring MongoDB database skills with suitable SQL query development NodeJS technical skills for middleware development Agile development and practices. Angular, Node, MongoDB & AWS Perform related duties as assigned by the supervisor Maintain compliance with all company policies and procedures Permanent Remote roleFull timeCustomer Success & Feature development roleFast track growthCompany : www.deliverysolutions.co