| Technical Skills:
Years of Exp on Terraform (IaC)
Years of Exp on AWS Direct Connect
Years of Exp on Argo CD/Flux CD
Any of exp on Puppet, Chef, Kustomize, or Ansible
Job Description:
We are currently seeking a Senior DevOps Engineer. We are looking for someone to build an extremely fast-growing infrastructure and handling TBs data per hour. We need an exceptional DevOps engineer with good knowledge of data streaming and processing to a develop and manage a reliable operation. In this role you get to do what you love with lots of room to grow, innovate and lead, Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.
The Role
• Automate infrastructure deployments with CloudFormation/ Terraform (IaC)
• Develop automation code to deploy and maintain applications that run and monitor services in the public cloud.
• Develop deployment pipelines for services running in Kubernetes.
• Continuous delivery (CI/CD) using Jenkins/Gitlabs CI, Argo CD/Flux CD, Maven, Artifactory, Docker.
• Programmatically make secrets management painless and easy across distributed services, secret handling technology such as Vault, AWS AMI
• You will design and develop new automation solutions to infrastructure engineering problems
• Work closely with application developers and participating in the architectural discussions.
• Build self-service Continuous Delivery tooling to support deployment and lifecycle management of a wide range of compute workloads and services
• Advocate a DevOps culture of automation, self-service, and engineering best practices to enable development teams.
• Provide leadership to the team in mastering technologies, identifying, and implementing worthwhile new technologies and improving our process.
Qualifications
• Bachelor’s degree in Computer Science (related field) or equivalent work experience
• Minimum 5+ years of experience in DevOps engineering or software development.
• Strong coding and scripting experience with Bash, Python, Go or similar languages.
• Comprehensive experience with AWS including a solid understanding of CI/CD, Amazon S3, EC2, IAM, CloudFormation and Route 53
• Experience with user access, authentication, user permission management and security, LDAP, AD, OIDC, Kerberos
• Experience with AWS Direct Connect or setting up and maintaining a hybrid cloud
• Experience with secure infrastructure networking with AWS using different types of Load Balancers, setting up VPCs, subnets, and routing tables
• Experience with containerization and scheduling, with Docker and Kubernetes.
• Experience with working on real-time data streaming solutions: Spark, Kafka, MQTT
• Strong distributed systems implementation experience
• Experience with auto scaling, performance testing and capacity planning.
• Experience with tools such as Jenkins, Artifactory, etc. to build automation, CI/CD, Self-Service pipelines.
• Experience with configuration management tools: Puppet, Chef, Kustomize, or Ansible
• Experience owning infrastructure in production, as well as designing and creating build/deploy & monitoring/reporting systems using CloudFormation/Terraform
• Experience with restful services, pub/sub communication model, service-oriented architecture, distributed systems, cloud system (AWS) and micro-services architecture pattern. |
| Job Title: Sr. Site Reliability Engineer
Location: Newark, CA
Duration: FULL-TIME with End Client (Electric Car)
Job Description:
We are looking for a Senior SRE Engineer – Connectivity & Cyber Security, who enjoys thinking big and looking to make their mark on an incredibly fast-growing company. In this role you will maintain, monitor recover a highly scalable infrastructure for connectivity & cybersecurity using AWS Cloud and Kubernetes. If managing large, secure, fast infrastructure,
The Role
Maintain, Enhance and Monitor a highly scalable infrastructure for data processing platform using Kubernetes
Using AWS Cloud and open-source services to address critical business needs
Ensure the 24/7 availability of the system, with proper alerting and monitoring
Identify and fix bugs and performance issues in the platform
Work with agile teams on setting error budgets, root cause analysis exercises, and blameless post-mortems
Utilize continuous delivery (CI/CD) with Gitlab CI, Jenkins, ArgoCD, Artifactory, Docker
Data pipeline and application monitoring and failure recovery
Setup and monitor application access and connectivity
Advocate for a DevOps culture of automation, self-service, and engineering best practices to enable development teams
Autoscaling and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools
Performing all SRE activities such as availability and reliability monitoring and reports
Tune, Monitor and configure tools such as Kafka, Spark, Presto, Airflow, MQTT
Use infrastructure as a service with Terraform
operate and maintain code repository with GitLab.
Qualifications
Bachelor’s degree in Computer Science (related field) or equivalent work experience
Minimum 5+ years of experience in DevOps engineering or software development.
Strong coding and scripting experience with Bash, Python, Go or similar languages.
Comprehensive experience with AWS including a solid understanding of CI/CD, Amazon S3, EC2, IAM, CloudFormation and Route 53
Experience with optimizing storage classes, lifecycle rules, instance classes, and throughput tuning to optimize for cost without sacrificing performance
Experience with user access, authentication, user permission management and security, LDAP, AD, OIDC, Kerberos
Experience with AWS Direct Connect or setting up and maintaining a hybrid cloud
Experience with secure infrastructure networking with AWS using different types of Load Balancers, working with VPCs, subnets, and routing tables
Experience with secure infrastructure networking with AWS using different types of Load Balancers, setting up VPCs, subnets, and routing tables
Experience with containerization and scheduling, with Docker and Kubernetes.
Strong distributed systems implementation experience
Experience with auto scaling, performance testing and capacity planning.
Experience with tools such as Jenkins, Artifactory, etc. to build automation, CI/CD, Self-Service pipelines.
Experience with configuration management tools: Puppet, Chef, Kustomize, or Ansible
Experience owning infrastructure in production, as well as designing and creating build/deploy & monitoring systems using CloudFormation/Terraform
Experience with restful services, pub/sub communication model, service-oriented architecture, distributed systems, cloud system (AWS) and micro-services architecture pattern. |