

About Artivatic
About
Company video


Photos
Connect with the team
Similar jobs

Requirements:
• Previously help a DevOps Engineer or System Engineer role
• 4+ years of production Linux system admin experience in high traffic environment
• 1+ years of experience with Amazon AWS and related services (instances, ELB,
EBS, S3, etc.) and abstractions on top of AWS.
• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and
security concerns.
• Experience in running Docker and Kubernetes clusters in production.
• Love automating mundane tasks and make developers life easy
• Must be able to code in, at a minimum, Python (or Ruby) and Bash.
• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT
• Agile software development best practices - continuous integration, releases,branches, etc.
• Experience with modern monitoring tools; capacity planning.
• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.
• Self-motivated, fast learner, detail-oriented, team player with a sense of humor
Experience in managing CI/CD using Jenkins.
Job Description:
Responsibilities
· Having E2E responsibility for Azure landscape of our customers
· Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction
· Make usage of CI/CD framework to rapidly support lifecycle management of the platform
· Acting as L2-L3 support for incidents, problems and service request
· Work with various Atos and 3rd party teams to resolve incidents and implement changes
· Implement and drive automation and self-healing solutions to reduce toil
· Enhance error budgets and hands on design and development of solutions to address reliability issues and/or risks
· Support ITSM processes and collaborate with service management representatives
Job Requirements
· Azure Associate certification or equivalent knowledge level
· 5+ years of professional experience
· Experience with Terraform and/or native Azure automation
· Knowledge of CI/CD concepts and toolset (i.e. Jenkins, Azure DevOps, Git)
· Must be adaptable to work in a varied, fast paced exciting, ever changing environment
· Good analytical and problem-solving skills to resolve technical issues
· Understanding of Agile development and SCRUM concepts a plus
· Experience with Kubernetes architecture and tools a plus
Responsibilities:
- Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
- Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
- Creating the Architecture Diagrams and documentation for various pieces
- Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response
Requirements:
- 3 - 5 years of professional experience as a DevOps / System Engineer.
- Strong knowledge in Systems Administration & troubleshooting skills with Linux.
- Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
- Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
- Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
- Experience in Infrastructure as code development using Terraform.
- Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
- Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
- Experience with GIT Version Control Software.
- Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
- Strong interpersonal and communication skills; ability to work in a team environment.
- AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
- Setup and management of a Kubernetes cluster, including writing Docker files.
- Experience working in and advocating for agile environments.
- Knowledge in Microservice architecture.
- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills
- Building and setting up new development tools and infrastructure
- Understanding the needs of stakeholders and conveying this to developers
- Working on ways to automate and improve development and release
processes - Testing and examining code written by others and analyzing results
- Ensuring that systems are safe and secure against cybersecurity
threats - Identifying technical problems and developing software updates and ‘fixes’
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
- Planning out projects and being involved in project management decisions
- BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
- 4+ years of overall development experience.
- Strong understanding of cloud deployment and setup
- Hands-on experience with tools like Jenkins, Gradle etc.
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate deployment
- Design procedures for system troubleshooting and maintenance
- Skills and Qualifications
- Proficient with git and git workflows
- Working knowledge of databases and SQL
- Problem-solving attitude
- Collaborative team spirit

Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.
Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics
2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.
- Responsible for the entire infrastructure including Production (both bare metal and AWS).
- Manage and maintain the production systems and operations including SysAdmin, DB activities.
- Improve tools and processes, automate manual efforts, and maintain the health of the system.
- Champion best practices, CI-CD, Metrics Driven Development
- Optimise the company's computing architecture
- Conduct systems tests for security, performance, and availability
- Maintain security of the system
- Develop and maintain design and troubleshooting documentation
- 7+ years of experience into DevOps/Technical Operations
- Extensive experience in operating scripting language like shell, python, etc
- Experience in developing and maintaining CI/CD process for SaaS applications using tools such as Jenkins
- Hands on experience in using configuration management tools such as Puppet, SaltStack, Ansible, etc
- Hands-on experience to build and handle VMs, Containers utilizing tools such as Kubernetes, Docker, etc
- Hands on experience in building, designing and maintaining cloud-based applications with AWS, Azure,GCP, etc
- Knowledge of Databases (MySQL, NoSQL)
- Knowledge of security/ethical hacking
- Have experience with ElasticSearch, Kibana, LogStash
- Have experience with Cassandra, Hadoop, or Spark
- Have experience with Mongo, Hive
As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.

