SDE 3 Devops Engineer

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

Requirements

Core skills:

● Strong background in Linux / Unix Administration and

troubleshooting

● Experience with AWS (ideally including some of the following:

VPC, Lambda, EC2, Elastic Cache, Route53, SNS, Cloudwatch,

Cloudfront, Redshift, Open search, ELK etc.)

● Experience with Infra Automation and Orchestration tools

including Terraform, Packer, Helm, Ansible.

● Hands on Experience on container technologies like Docker,

Kubernetes/EKS, Gitlab and Jenkins as Pipeline.

● Experience in one or more of Groovy, Perl, Python, Go or

scripting experience in Shell.

● Good understanding of with Continuous Integration(CI) and

Continuous Deployment(CD) pipelines using tools like Jenkins,

FlexCD, ArgoCD, Spinnaker etc

● Working knowledge of key value stores, database technologies

(SQL and NoSQL), Mongo, mySQL

● Experience with application monitoring tools like Prometheus,

Grafana, APM tools like NewRelic, Datadog, Pinpoint

● Good exposure on middleware components like ELK, Redis, Kafka

and IOT based systems including Redis, NewRelic, Akamai,

Apache / Nginx, ELK, Grafana, Prometheus etc

Good to have:

● Prior experience in Logistics, Payment and IOT based applications

● Experience in unmanaged mongoDB cluster, automations &

operations, analytics

● Write procedures for backup and disaster recovery

Core Experience

● 3-5 years of hands-on DevOps experience

● 2+ years of hands-on Kubernetes experience

● 3+ years of Cloud Platform experience with special focus on

Lambda, R53, SNS, Cloudfront, Cloudwatch, Elastic Beanstalk,

RDS, Open Search, EC2, Security tools

● 2+ years of scripting experience in Python/Go, shell

● 2+ years of familiarity with CI/CD, Git, IaC, Monitoring, and

Logging tools

This person MUST have:

• Min of 3-5 prior experience as a DevOps Engineer.
• Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
• Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
• Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
• Experience managing AWS infrastructure
• Hands on experience of Linux administration.
• Basic understanding of Kubernetes/Docker orchestration
• Works closely with engineering team for day to day activities
• Manges existing infrastructure/Pipelines/Engineering tools (On Prem or  AWS) for engineering team (Build servers/Jenkin nodes etc.)
• Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
• Works closely with engineering team for improving existing pipelines for build .
• Troubleshoots problems across infrastructure/services

Experience:

• Min 5-7  year experience

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week (11 AM to 7 PM).

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

• Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
• Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
• Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
• Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
• Design and implement DevOps processes for new projects following the department's objectives of automation.
• Collaborate on projects with development teams to provide recommendations, support and guidance.
• Work towards full automation, monitoring, virtualization and containerization.
• Create and maintain tools for deployment, monitoring and operations.
• Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
• Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
• Maintain 24/7 availability for responsible systems and be open to on-call rotation.

• Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
• Familiarity with Python-related technologies and frameworks like Django or Pyramid.
• Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
• Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Source code management and Implementation of security best practices.
• Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
• Good understanding & implementation experience using 12-factor App principles
• Awareness of Cloud Security concepts
• Awareness of Information Security concepts and Best Practices

• Proficient in Java, Node or Python
• Experience with NewRelic, Splunk, SignalFx, DataDog etc.
• Monitoring and alerting experience
• Full stack development experience
• Hands-on with building and deploying micro services in Cloud (AWS/Azure)
• Experience with terraform w.r.t Infrastructure As Code
• Should have experience troubleshooting live production systems using monitoring/log analytics tools
• Should have experience leading a team (2 or more engineers)
• Experienced using Jenkins or similar deployment pipeline tools
• Understanding of distributed architectures