Technical Manager
Java
Subodh Popalwar
Software Engineer, Memorres
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Kubernetes
Amazon Web Services (AWS)Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Kubernetes
DockerAmazon Web Services (AWS)
Srijan Technologies is hiring for the DevOps Lead position- Cloud Team with a permanent WFH option.
Immediate Joiners or candidates with 30 days notice period are preferred.
Requirements:-
- Minimum 4-6 Years experience in DevOps Release Engineering.
- Expert-level knowledge of Git.
- Must have great command over Kubernetes
- Certified Kubernetes Administrator
- Expert-level knowledge of Shell Scripting & Jenkins so as to maintain continuous integration/deployment infrastructure.
- Expert level of knowledge in Docker.
- Expert level of Knowledge in configuration management and provisioning toolchain; At least one of Ansible / Chef / Puppet.
- Basic level of web development experience and setup: Apache, Nginx, MySQL
- Basic level of familiarity with Agile/Scrum process and JIRA.
- Expert level of Knowledge in AWS Cloud Services.
Amazon Web Services (AWS)Docker
Jenkins- Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
- Perform infrastructure cost analysis and optimization
DockerKubernetes- Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
- Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
- Docker and Kubernetes (EKS)
- Linux/UNIX Administration (Amazon Linux and RedHat).
- Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
- Configuration Management tools (Chef or Puppet or ansible).
- Log aggregations tools such as Elastic and/or Splunk.
- Automate infrastructure and application deployment-related tasks using terraform.
- Automate repetitive tasks required to maintain a secure and up-to-date operational environment.
Responsibilities
- Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
- Build AWS or other public cloud infrastructure using Terraform.
- Deploy and manage Kubernetes (EKS) based docker applications in AWS.
- Create custom OS images using Packer.
- Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
- Liaison between application development, infrastructure support, and tools (IT Services) teams.
- Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
- Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
- Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
- Learn on the job and explore new technologies with little supervision.
- Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.
Who we have in mind:
- Solid experience in building a solution on AWS or other public cloud services using Terraform.
- Excellent problem-solving skills with a desire to take on responsibility.
- Extensive knowledge in containerized application and deployment in Kubernetes
- Extensive knowledge of the Linux operating system, RHEL preferred.
- Proficiency with shell scripting.
- Experience with Java application servers.
- Experience with GiT and Subversion.
- Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
- Experience working in a large-scale operational environment.
- Internet and operating system security fundamentals.
- Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
- Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
- Experience with Configuration Management Automation tools (chef or puppet).
- Experience with virtualization, preferably on multiple hypervisors.
- BS/MS in Computer Science or equivalent experience.
- Excellent written and verbal skills.
Education or Equivalent Experience:
- Bachelor's degree or equivalent education in related fields
- Certificates of training in associated fields/equipment’s
Amazon Web Services (AWS)- Develop and Maintain IAC using Terraform and Ansible
- Draft design documents that translate requirements into code.
- Deal with challenges associated with scale.
- Assume responsibilities from technical design through technical client support.
- Manage expectations with internal stakeholders and context-switch in a fast paced environment.
- Thrive in an environment that uses Elasticsearch extensively.
- Keep abreast of technology and contribute to the engineering strategy.
- Champion best development practices and provide mentorship
An AWS Certified Engineer with strong skills in
- Terraform o Ansible
- *nix and shell scripting
- Elasticsearch
- Circle CI
- CloudFormation
- Python
- Packer
- Docker
- Prometheus and Grafana
- Challenges of scale
- Production support
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
Docker
PythonResponsibilities
- 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
DockerKubernetesResponsibilities
- Building and maintenance of resilient and scalable production infrastructure
Improvement of monitoring systems
- 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
- Incident analysis and fixing
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 of working with git
Preferred experience
Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience administering Atlassian products
Amazon Web Services (AWS)Amazon Web Services (AWS)We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company. You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on the AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand-based
auto-scaling.
- Have on-call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high-level programming
languages.
- Extensive experience in any Javascript-based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.
Machine Learning (ML)KubernetesPythonDevOps 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
Follow CutshortSubodh Popalwar
Software Engineer, Memorres