
" Skills : Strong experience in Ansible, Cloud, Linux, Python or Shell or Bash scripting
" Experience : 3 - 6 Years
" Location : Bangalore
Good to have cloud skills - Docker / Kubernetes
Scripting skills - Any of Shell / Perl/ bash/Python
Good to have Terraform

Similar jobs
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
What we look for:
As a DevOps Developer, you will contribute to a thriving and growing AIGovernance Engineering team. You will work in a Kubernetes-based microservices environment to support our bleeding-edge cloud services. This will include custom solutions, as well as open source DevOps tools (build and deploy automation, monitoring and data gathering for our software delivery pipeline). You will also be contributing to our continuous improvement and continuous delivery while increasing maturity of DevOps and agile adoption practices.
Responsibilities:
- Ability to deploy software using orchestrators /scripts/Automation on Hybrid and Public clouds like AWS
- Ability to write shell/python/ or any unix scripts
- Working Knowledge on Docker & Kubernetes
- Ability to create pipelines using Jenkins or any CI/CD tool and GitOps tool like ArgoCD
- Working knowledge of Git as a source control system and defect tracking system
- Ability to debug and troubleshoot deployment issues
- Ability to use tools for faster resolution of issues
- Excellent communication and soft skills
- Passionate and ability work and deliver in a multi-team environment
- Good team player
- Flexible and quick learner
- Ability to write docker files, Kubernetes yaml files / Helm charts
- Experience with monitoring tools like Nagios, Prometheus and visualisation tools such as Grafana.
- Ability to write Ansible, terraform scripts
- Linux System experience and Administration
- Effective cross-functional leadership skills: working with engineering and operational teams to ensure systems are secure, scalable, and reliable.
- Ability to review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations.
Job Responsibilities:
Section 1 -
- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.
Section 2 -
- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.
Section 3 -
- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.
Section 4 -
- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.
Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification
Skills & Competencies
- Linux and Windows servers management and troubleshooting.
- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS
- Kubernetes and containers knowledge
- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)
- Understanding of serverless architecture. - High understanding of Networking concepts
- High understanding of Serverless architecture concept - Managing to monitor and alerting systems
- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs
- Good Project management skills
- Documentation skills
- Backup, and DR understanding
Soft Skills - Project management, Process Documentation
Ideal Candidate:
- AWS certification with between 2-4 years of experience with certification and project execution experience.
- Someone who is interested in building sustainable cloud architecture with automation on AWS.
- Someone who is interested in learning and being challenged on a day-to-day basis.
- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.
- Someone who is curious to analyze and solve complex problems.
- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.
Behavioral Traits
- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.
- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.
- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly
• Bachelor’s or master’s degree in Computer Engineering,
Computer Science, Computer Applications, Mathematics, Statistics or related technical field or
equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a
different stream of education.
• Well-versed in DevOps principals & practices and hands-on DevOps
tool-chain integration experience: Release Orchestration & Automation, Source Code & Build
Management, Code Quality & Security Management, Behavior Driven Development, Test Driven
Development, Continuous Integration, Continuous Delivery, Continuous Deployment, and
Operational Monitoring & Management; extra points if you can demonstrate your knowledge with
working examples.
• Hands-on experience with demonstrable working experience with DevOps tools
and platforms viz., Slack, Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory,
Terraform, Ansible/Chef/Puppet, Spinnaker, Tekton, StackStorm, Prometheus, Grafana, ELK,
PagerDuty, VictorOps, etc.
• Well-versed in Virtualization & Containerization; must demonstrate
experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox,
Vagrant, etc.
• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate
experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in
any categories: Compute or Storage, Database, Networking & Content Delivery, Management &
Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstratable Cloud
Platform experience.
• Well-versed with demonstrable working experience with API Management,
API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption, tools &
platforms.
• Hands-on programming experience in either core Java and/or Python and/or JavaScript
and/or Scala; freshers passing out of college or lateral movers into IT must be able to code in
languages they have studied.
• Well-versed with Storage, Networks and Storage Networking basics
which will enable you to work in a Cloud environment.
• Well-versed with Network, Data, and
Application Security basics which will enable you to work in a Cloud as well as Business
Applications / API services environment.
• Extra points if you are certified in AWS and/or Azure
and/or Google Cloud.
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
MLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

Total Experience: 6 – 12 Years
Required Skills and Experience
- 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
Responsibilities
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.
Goodera is looking for an experienced and motivated DevOps professional to be an integral part of its core infrastructure team. As a DevOps Engineer, you must be able to troubleshoot production issues, design, implement, and deploy monitoring tools, collaborate with team members to improve the existing and develop new engineering tools, optimize company's computing architecture, design and conduct security, performance, availability and availability tests.
Responsibilities:
This is a highly accountable role and the candidate must meet the following professional expectations:
• Owning and improving the scalability and reliability of our products.
• Working directly with product engineering and infrastructure teams.
• Designing and developing various monitoring system tools.
• Accountable for developing deployment strategies and build configuration management.
• Deploying and updating system and application software.
• Ensure regular, effective communication with team members and cross-functional resources.
• Maintaining a positive and supportive work culture.
• First point of contact for handling customer (may be internal stakeholders) issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Develop tooling and processes to drive and improve customer experience, create playbooks.
• Eliminate manual tasks via configuration management.
• Intelligently migrate services from one AWS region to other AWS regions.
• Create, implement and maintain security policies to ensure ISO/ GDPR / SOC / PCI compliance.
• Verify infrastructure Automation meets compliance goals and is current with disaster recovery plan.
• Evangelize configuration management and automation to other product developers.
• Keep himself updated with upcoming technologies to maintain the state of the art infrastructure.
Required Candidate profile :
• 3+ years of proven experience working in a DevOps environment.
• 3+ years of proven experience working in AWS Cloud environments.
• Solid understanding of networking and security best practices.
• Experience with infrastructure-as-code frameworks such as Ansible, Terraform, Chef, Puppet, CFEngine, etc.
• Experience in scripting or programming languages (Bash, Python, PHP, Node.js, Perl, etc.)
• Experience designing and building web application environments on AWS, including services such as ECS, ECR, Foregate, Lambda, SNS / SQS, CloudFront, Code Build, Code pipeline, Configuring CloudWatch, WAF, Active Directories, Kubernetes (EKS), EC2, S3, ELB, RDS, Redshift etc.
• Hands on Experience in Docker is a big plus.
• Experience working in an Agile, fast paced, DevOps environment.
• Strong Knowledge in DB such as MongoDB / MySQL / DynamoDB / Redis / Cassandra.
• Experience with Open Source and tools such as Haproxy, Apache, Nginx and Nagios etc.
• Fluency with version control systems with a preference for Git *
• Strong Linux-based infrastructures, Linux administration
• Experience with installing and configuring application servers such as WebLogic, JBoss and Tomcat.
• Hands-on in logging, monitoring and alerting tools like ELK, Grafana, Metabase, Monit, Zbbix etc.
• A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead.
d ability to rain others on technical and procedural topics.

