DevOps Engineer

● Comfortable deploying applications on AWS, and have a strong working
knowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
● Bonus: AWS certification is a plus
● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
● Bonus: Demonstrated programming capability in a high-level programming
language such as Python, Go, or similar
● Develop, maintain and administer tools which will automate operational activities
and improve engineering productivity
● Automate continuous delivery and on-demand capacity management solutions
● Developing configuration and infrastructure solutions for internal deployments
● Troubleshooting, diagnosing and fixing software issues
● Updating, tracking and resolving technical issues
● Suggesting architecture improvements, recommending process improvements
● Evaluate new technology options and vendor products. Ensuring critical system
security through the use of best in class security solutions
● Technical experience or in a similar role supporting large scale production
distributed systems
● Must understand overall system architecture , improve design and implement new
processes.

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

 

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

 

To know more, Visit! - https://www.happyfox.com/

 

Responsibilities

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Implement consistent observability, deployment and IaC setups
• Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
• Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Lead infrastructure security audits

 

Requirements

• At least 7 years of experience in handling/building Production environments in AWS.
• At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Experience in security hardening of infrastructure, systems and services.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.

 

 

About us:

Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.

There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.

Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.

That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.

Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/

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

Requirements

● Bachelor Degree or 5+ years of professional or experience.
● 2+ years of hands-on experience of programming in languages such as Python, Ruby,
Go, Swift, Java, .Net, C++ or similar object-oriented language.
● Experience with automating cloud native technologies, deploying applications, and
provisioning infrastructure.
● Hands-on experience with Infrastructure as Code, using CloudFormation, Terraform, or
other tools.
● Experience developing cloud native CI/CD workflows and tools, such as Jenkins,
Bamboo, TeamCity, Code Deploy (AWS) and/or GitLab.
● Hands-on experience with microservices and distributed application architecture, such
as containers, Kubernetes, and/or serverless technology.
● Hands-on experience in building/managing data pipelines, reporting & analytics.
● Experience with the full software development lifecycle and delivery using Agile
practices.
● Preferable (bonus points if you know these):
○ AWS cloud management
○ Kafka
○ Databricks
○ Gitlab CI/CD hooks
○ Python notebooks

About the Company

• 💰 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
• 🇮🇩 🇮🇳 Teams in India and Indonesia

 

Skillset 🧗🏼‍♀️

• You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
• You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
• You have experience operating and maintaining production systems in a Linux based public cloud environment
• You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
• You’re in love with system metrics and strive to help deliver improvements to systems all the time
• You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
• You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
• You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
• You have high integrity, and you are reliable

 

What you can expect from us 👌🏼

 

☮️ Mentorship, growth, great work culture

• Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
• We are a people-first, high-trust, high-autonomy team
• We live in the TDD, Pair Programming, First Principles world

 

🌏 Remote done right

• Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
• Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
• A good balance between deep focussed work and collaborative work ⚖️

 

🖥️ Friendly, humane interview process

• 30-minute alignment check and screening call
• A short take-home coding assignment, no more than 2-3 hours. Time is precious
• Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
• In-depth engineering discussion around your skills and career so far
• System design and architecture interview for seniors

 

What we ask from you👇🏼

• Bring your software engineering — both individual brilliance and collaborative skills
• Bring your good nature — we're building a team that supports each other
• Be vested or interested in the company vision

Responsibilities

- Building and maintenance of resilient and scalable production infrastructure 

- Improvement of monitoring systems

- Creation and support of development automation processes (CI / CD)

- Participation in infrastructure development 

- Detection of problems in architecture and proposing of solutions for solving them 

- Creation of tasks for system improvements for system scalability, performance and monitoring

- Analysis of product requirements in the aspect of devops 

- Managing a team of DevOps, control of task deliveries 

- Incident analysis and fixing 

 

Technology stack

Linux, Bash, Salt/Ansible, LXC, libvirt, IPsec, VXLAN, Open vSwitch, OpenVPN, OSPF, BIRD, Cisco NX-OS, Multicast, PIM, LVM, software RAID, LUKS, PostgreSQL, nginx, haproxy, Prometheus, Grafana, Zabbix, GitLab, Capistrano

 

Skills and Experience

- Understanding of the distributed systems principles 

- Understanding of principles for building a resistant network infrastructure 

- Experience of Ubuntu Linux administration (Debian-like will be a plus)

- Strong knowledge of Bash

- Experience of working with LXC-containers 

- Understanding and experience with infrastructure as a code approach 

- Experience of development idempotent Ansible roles

- Experience with relational databases (PostgeSQL), ability to create simple SQL queries 

- Experience with git

- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)

- Understanding of dynamic routing (OSPF)  

 

Preferred experience

- Experience of working with highload zero-downtown environments 

- Experience of coding on Python

- Experience of working with IPsec, VXLAN, Open vSwitch

- Knowledge and experience of working with network equipment Cisco

- Experience of working with Cisco NX-OS

- Knowledge of principles of multicast protocols IGMP, PIM

- Experience of setting multicast on Cisco equipment

- Experience of working with Solarflare Onload

- Experience administering Atlassian products

 

 

We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.

 

Job Requirements

 

• Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
• Experience with AWS Cloud Formation and AWS CLI is essential
• The ability to work to project deadlines efficiently and with minimum guidance
• A positive attitude and enjoys working within a global distributed team

 

Skills

 

• Highly proficient working with CI/CD and automating infrastructure provisioning
• Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
• Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
• Hands on experience with Docker and container orchestration
• Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
• An interest in healthcare and medical sectors
• Technical degree with 4 plus years’ infrastructure and automation experience

 

Machine Learning
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery

Job Description : Minimum of 6 years of hands on experience in software development and DevOps, specifically managing AWS Infrastructure such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail and other services provided by AWS. Experience Building a multi-region highly available auto-scaling infrastructure that optimises performance and cost. plan for future infrastructure as well as Maintain & optimise existing infrastructure. Conceptualise, architect and build automated deployment pipelines in a CI/CD environment like Jenkins. Conceptualise, architect and build a containerised infrastructure using Docker, Mesosphere or similar SaaS platforms. Conceptualise, architect and build a secured network utilising VPCs with inputs from the security team. Work with developers & QA to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional and performance status. Work with developers to institute systems, policies and workflows which allow for rollback of deployments Triage release of applications to production environment on a daily basis. Interface with developers and triage SQL queries that need to be executed in production environments. Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production. Assist the developers and on calls for other teams with post mortem, follow up and review of issues affecting production availability. Minimum 2 years’ experience in Ansible. Must have written playbook to automate provisioning of AWS infrastructure as well as automation of routine maintenance tasks. Must have had prior experience automating deployments to production and lower environments. Experience with APM tools like New Relic and log management tools. Our entire platform is hosted on AWS, comprising of web applications, webservices, RDS, Redis and Elastic Search clusters and several other AWS resources like EC2, S3, Cloud front, Route53 and SNS. Essential Functions System Architecture Process Design and Implementation Minimum of 2 years scripting experience in Ruby/Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible)Establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs. Establishing and enforcing systems monitoring tools and standards Establishing and enforcing Risk Assessment policies and standards Establishing and enforcing Escalation policies and standards.

Engineer need to work in capacity of a DevOps, responsible of maintaining cloud deployment up and running. Should have hands on experience on various Devops Tools and Monitoring Framework. He should be able to put together open source tools and framework to solve Operational Issues. Should be able to test and debug live issues on various components/services deployed on cloud. Engineer should be able to automate scripts, write tools in python to monitor & test various services and their communication. Should be able to manually test functionality for various components & automate functional, load and performance scenarios and relay feedback to engineering. He should be able to identify functionality gaps and should relay them to engineering as enhancements Candidate should be able to support customer deployment during late hours.