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Docker
Kubernetes
Go Programming (Golang)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.
KubernetesDockerWhat does a successful Senior DevOps Engineer do at Fiserv?
This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.
What will you do:
• Build, manage, and deploy CI/CD pipelines.
• DevOps Engineer - Helm Chart, Rundesk, Openshift
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.
• Implementing various development, testing, automation tools, and IT infrastructure
• Optimize and automate release/development cycles and processes.
• Be part of and help promote our DevOps culture.
• Identify and implement continuous improvements to the development practice
What you must have:
• 3+ years of experience in devops with hands-on experience in the following:
- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks
- Building docker images and running/managing docker instances
- Building Jenkins pipelines using groovy scripts
- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes
• Has good understanding on infrastructure as code
• Ability to write and update documentation
• Demonstrate a logical, process orientated approach to problems and troubleshooting
• Ability to collaborate with multi development teams
What you are preferred to have:
• 8+ years of development experience
• Jenkins administration experience
• Hands-on experience in building and deploying helm charts
Process Skills:
• Should have worked in Agile Project
KubernetesDocker
Amazon Web Services (AWS)- Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
- Design and build tools and frameworks that support deployment and management and platforms
- Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
- Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
- Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
- Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
- Work independently across multiple platforms and applications to understand dependencies
- Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
- Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
- Competencies
- Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
- Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
- Working knowledge of Amazon Web Services and related APIs
- Ability to deliver and manage web or cloud-based services
- General familiarity with monitoring tools
- General familiarity with configuration/provisioning tools such as Terraform
- Experience
- Experience working within an Agile type environment
- 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
- 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes
DockerKubernetesAmazon Web Services (AWS)DESIRED SKILLS AND EXPERIENCE
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux
o Networking knowledge – Firewalls, VPNs, Load Balancers
o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana
o Git, Jenkins, Jira
technology based supply chain management
PythonDockerKubernetes A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
Laravel
PHP
JavascriptLaravel Developer Responsibilities:
- Discussing project aims with the client and development team.
- Designing and building web applications using Laravel.
- Troubleshooting issues in the implementation and debug builds.
- Working with front-end and back-end developers on projects.
- Testing functionality for users and the backend.
- Ensuring that integrations run smoothly.
- Scaling projects based on client feedback.
- Recording and reporting on work done in Laravel.
- Maintaining web-based applications.
- Presenting work in meetings with clients and management.
Laravel Developer Requirements:
- A degree in programming, computer science, or a related field.
- Experience working with PHP, performing unit testing, and managing APIs such as REST.
- A solid understanding of application design using Laravel.
- Knowledge of database design and querying using SQL.
- Proficiency in HTML and JavaScript.
- Practical experience using the MVC architecture.
- A portfolio of applications and programs to your name.
- Problem-solving skills and critical mindset.
- Great communication skills.
- The desire and ability to learn.
Note: We are hiring Tamil Nadu candidates only..
KubernetesDocker
JenkinsAs a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
at Altimetrik
Jenkins
GitHubDevOps Architect
Experience: 10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.
Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired
Technical Skillset: Skills Proficiency level
- Build tools (Ant or Maven) - Expert
- CI/CD tool (Jenkins or Github CI/CD) - Expert
- Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
- Infrastructure As Code (Terraform, Helm charts etc.) - Expert
- Containerization (Docker, Docker Registry) - Expert
- Scripting (linux) - Expert
- Cluster deployment (Kubernetes) & maintenance - Expert
- Programming (Java) - Intermediate
- Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
- Artifactory (JFrog) - Expert
- Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
- Ansible, MySQL, PostgreSQL - Intermediate
• Source Control (like Git, Bitbucket, Svn, VSTS etc)
• Continuous Integration (like Jenkins, Bamboo, VSTS )
• Infrastructure Automation (like Puppet, Chef, Ansible)
• Deployment Automation & Orchestration (like Jenkins, VSTS, Octopus Deploy)
• Container Concepts (Docker)
• Orchestration (Kubernetes, Mesos, Swarm)
• Cloud (like AWS, Azure, GoogleCloud, Openstack)
Roles and Responsibilities
• DevOps architect should automate the process with proper tools.
• Developing appropriate DevOps channels throughout the organization.
• Evaluating, implementing and streamlining DevOps practices.
• Establishing a continuous build environment to accelerate software deployment and development processes.
• Engineering general and effective processes.
• Helping operation and developers teams to solve their problems.
• Supervising, Examining and Handling technical operations.
• Providing a DevOps Process and Operations.
• Capacity to handle teams with leadership attitude.
• Must possess excellent automation skills and the ability to drive initiatives to automate processes.
• Building strong cross-functional leadership skills and working together with the operations and engineering teams to make sure that systems are scalable and secure.
• Excellent knowledge of software development and software testing methodologies along with configuration management practices in Unix and Linux-based environment.
• Possess sound knowledge of cloud-based environments.
• Experience in handling automated deployment CI/CD tools.
• Must possess excellent knowledge of infrastructure automation tools (Ansible, Chef, and Puppet).
• Hand on experience in working with Amazon Web Services (AWS).
• Must have strong expertise in operating Linux/Unix environments and scripting languages like Python, Perl, and Shell.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.
• Previous experience in implementing continuous delivery and DevOps solutions.
• Experience in designing and building solutions to move data and process it.
• Must possess expertise in any of the coding languages depending on the nature of the job.
• Experience with containers and container orchestration tools (AKS, EKS, OpenShift, Kubernetes, etc)
• Experience with version control systems a must (GIT an advantage)
• Belief in "Infrastructure as a Code"(IaaC), including experience with open-source tools such as terraform
• Treats best practices for security as a requirement, not an afterthought
• Extensive experience with version control systems like GitLab and their use in release management, branching, merging, and integration strategies
• Experience working with Agile software development methodologies
• Proven ability to work on cross-functional Agile teams
• Mentor other engineers in best practices to improve their skills
• Creating suitable DevOps channels across the organization.
• Designing efficient practices.
• Delivering comprehensive best practices.
• Managing and reviewing technical operations.
• Ability to work independently and as part of a team.
• Exceptional communication skills, be knowledgeable about the latest industry trends, and highly innovative
DockerKubernetesAmazon Web Services (AWS)DevOps Engineer
Job Description:
The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.
Skills:
- Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
- Strong hands-on over Ansible is preferred
- Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
- Should have core knowledge in Linux and System operations.
- Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
- Conduct and automate audits for network and systems infrastructure.
- Do software deployments, per documented processes, with no impact to customers.
- Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
- Troubleshoot connectivity problems across network, systems or applications.
- Follow security guidelines, both policy and technical to protect our customers.
- Ability to automate recurring tasks to increase velocity and quality.
- Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
- Should have knowledge and hands-on experience in managing ELK clusters.
- Scripting Knowledge in Shell/Python is added advantage.
- Hands-on Experience over K8s based Microservice Architecture is added advantage.
Kubernetes
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max
Java
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