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- Recommend a migration and consolidation strategy for DevOps tools
- Design and implement an Agile work management approach
- Make a quality strategy
- Design a secure development process
- Create a tool integration strategy
Numerator is looking for an experienced, talented and quick-thinking DevOps Manager to join our team and work with the Global DevOps groups to keep infrastructure up to date and continuously advancing. This is a unique opportunity where you will get the chance to work on the infrastructure of both established and greenfield products. Our technology harnesses consumer-related data in many ways including gamified mobile apps, sophisticated web crawling and enhanced Deep Learning algorithms to deliver an unmatched view of the consumer shopping experience. As a member of the Numerator DevOps Engineering team, you will make an immediate impact as you help build out and expand our technology platforms from on-premise to the cloud across a wide range of software ecosystems. Many of your daily tasks and engagement with applications teams will help shape how new projects are delivered at scale to meet our clients demands. This role requires a balance between hands-on infrastructure-as-code deployments with application teams as well as working with Global DevOps Team to roll out new initiatives. What you will get to do
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Requirements |
Nice to have
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- Strong communication skills (written and verbal)
- Responsive, reliable and results oriented with the ability to execute on aggressive plans
- A background in software development, with experience of working in an agile product software development environment
- An understanding of modern deployment tools (Git, Bitbucket, Jenkins, etc.), workflow tools (Jira, Confluence) and practices (Agile (SCRUM), DevOps, etc.)
- Expert level experience with AWS tools, technologies and APIs associated with it - IAM, Cloud-Formation, Cloud Watch, AMIs, SNS, EC2, EBS, EFS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, Lambda, VPC etc.
- Hands on experience with Kubernetes (EKS preferred)
- Strong DevOps skills across CI/CD and configuration management using Jenkins, Ansible, Terraform, Docker.
- Experience provisioning and spinning up AWS Clusters using Terraform, Helm, Helm Charts
- Ability to work across multiple projects simultaneously
- Ability to manage and work with teams and customers across the globe
Role : SRE
Experience : 4 - 8 Years
- Experience in building, deploying and operating cloud solutions on Kubernetes
- Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
- Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
- Hands-on experience as a DevOps or Automation development
- Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
- Experience working with Helm Charts and building out Infrastructure As Code (IaC)
- Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
- Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
- Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
- Architected CNF Orchestration with Kubernetes
- Strong understanding of the principles of 12-factor apps and modern containerized microservices
- Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
- Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL
This role requires a balance between hands-on infrastructure-as-code deployments as well as involvement in operational architecture and technology advocacy initiatives across the Numerator portfolio.
Responsibilities
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Technical Skills
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MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
- Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
- Bring experience on Google Cloud Platform.
- Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
- Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
- Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
- Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
- Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
- Manage several streams of work concurrently
- Understand how various systems work
- Understand how IT operations are managed
What you will bring:
- 5 years of work experience as a DevOps Engineer.
- Must possess ample knowledge and experience in system automation, deployment, and implementation.
- Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
- Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git.
- Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
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- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
You will be responsible for
1. Setting up, maintaining cloud (AWS/GCP/Azure) and kubernetes cluster and automating
their operation
2. All operational aspects of devtron platform including maintenance, upgrades,
automation.
3. Providing kubernetes expertise to facilitate smooth and fast customer onboarding on
devtron platform
Responsibilities:
1. Manage devtron platform on multiple kubernetes clusters
2. Designing and embedding industry best practices for online services including disaster
recovery, business continuity, monitoring/alerting, and service health measurement
3. Providing operational support for day to day activities involving the deployment of
services
4. Identify opportunities for improving the security, reliability, and scalability of the platform
5. Facilitate smooth and fast customer onboarding on devtron platform
6. Drive customer engagement
Requirements:
● Bachelor's Degree in Computer Science or a related field.
● 2+ years working as a devops engineer
● Proficient in 1 or more programming languages (e.g. Python, Go, Ruby).
● Familiar with shell scripts, Linux commands, network fundamentals
● Understanding of large scale distributed systems
● Basic understanding of cloud computing (AWS/GCP/Azure)
Preferred Qualifications:
● Great analytical and interpersonal skills
● Passion for creating efficient, reliable, reusable programs/scripts.
● Excited about technology, have a strong interest in learning about and playing with the
latest technologies and doing POC.
● Strong customer focus, ownership, urgency and drive.
● Knowledge and experience with cloud native tools like prometheus, kubernetes, docker,
grafana.
● Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms
● Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset
● Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools
● Automate the development and test automation processes through CI/CD pipeline (Git, Jenkins, SonarQube, Artifactory, Docker containers)
● Build container hosting-platform using Kubernetes
● Introduce new cloud technologies, tools & processes to keep innovating in commerce area to drive greater business value.
Skills Required:
● Excellent written and verbal communication skills and a good listener.
● Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure – good hands-on experience in at least one of them)
● Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks.
● Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS, SQS) and automation (Eg. CFT/Terraform).
● Experience with relational SQL and NoSQL databases, including Postgres and
Cassandra.
● Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform)
● Strong Linux System Admin Experience with excellent troubleshooting and problem solving skills
● Hands-on experience with languages (Bash/Python/Core Java/Scala)
● Experience with CI/CD pipeline (Jenkins, Git, Maven etc)
● Experience integrating solutions in a multi-region environment
● Self-motivate, learn quickly and deliver results with minimal supervision
● Experience with Agile/Scrum/DevOps software development methodologies.
Nice to Have:
● Experience in setting-up Elastic Logstash Kibana (ELK) stack.
● Having worked with large scale data.
● Experience with Monitoring tools such as Splunk, Nagios, Grafana, DataDog etc.
● Previously experience on working with distributed architectures like Hadoop, Mapreduce etc.