11+ GCS Jobs in Chennai | GCS Job openings in Chennai
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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.
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)- Bachelor of Computer Science or Equivalent Education
- At least 5 years of experience in a relevant technical position.
- Azure and/or AWS experience
- Strong in CI/CD concepts and technologies like GitOps (Argo CD)
- Hands-on experience with DevOps Tools (Jenkins, GitHub, SonarQube, Checkmarx)
- Experience with Helm Charts for package management
- Strong in Kubernetes, OpenShift, and Container Network Interface (CNI)
- Experience with programming and scripting languages (Spring Boot, NodeJS, Python)
- Strong container image management experience using Docker and distroless concepts
- Familiarity with Shared Libraries for code reuse and modularity
- Excellent communication skills (verbal, written, and presentation)
Note: Looking for immediate joiners only.
DockerKubernetesAmazon Web Services (AWS)
JenkinsDevOps 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.
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
KubernetesDockerAmazon Web Services (AWS)The candidates should have:
· Strong knowledge on Windows and Linux OS
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
KubernetesDockerAmazon Web Services (AWS)About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
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).
KubernetesDockerJenkinsAs 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)
DockerKubernetesAmazon Web Services (AWS)The ideal person for the role will:
Possess a keen mind for solving tough problems by partnering effectively with various teams and stakeholders
Be comfortable working in a fast-paced, dynamic, and agile framework
Focus on implementing an end-to-end automated chain
Responsibilities
_____________________________________________________
Strengthen the application and environment security by applying standards and best practices and providing tooling to make development workflows more secure
Identify systems that can benefit from automation, monitoring and infrastructure-as-code and develop and scale products and services accordingly.
Implement sophisticated alerts and escalation mechanisms using automated processes
Help increase production system performance with a focus on high availability and scalability
Continue to keep the lights on (day-to-day administration)
Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3 and IAM with Terraform and Ansible.
Enable our product development team to deliver new code daily through Continuous Integration and Deployment Pipelines.
Create a secure production infrastructure and protect our customer data with continuous security practices and monitoring. Design, develop and scale infrastructure-as-code
Establish SLAs for service uptime, and build the necessary telemetry and alerting platforms to enforce them
Architect and build continuous data pipelines for data lakes, Business Intelligence and AI practices of the company
Remain up to date on industry trends, share knowledge among teams and abide by industry best practices for configuration management and automation.
Qualifications and Background
_______________________________________________________
Graduate degree in Computer Science and Engineering or related technologies
Work or research project experience of 5-7 years, with a minimum of 3 years of experience directly related to the job description
Prior experience working in HIPAA / Hi-Trust frameworks will be given preference
About Witmer Health
_________________________________________________________
We exist to make mental healthcare more accessible, affordable, and effective. At Witmer, we are on a mission to build a research-driven, global mental healthcare company to work on developing novel solutions - by harnessing the power of AI/ML and data science - for a range of mental illnesses like depression, anxiety, OCD, and schizophrenia, among others. Our first foray will be in the space of workspace wellness, where we are building tools to help individual employees and companies improve their mental wellness and raise productivity levels.
KubernetesDockerOne of our US based client is looking for a Devops professional who can handle Technical as well as Trainings for them in US.
If you are hired, you will be sent to US for the working from there. Training & Technical work ratio will be 70% & 30% respectively.
Company Will sponsor for US Visa.
If you are an Experienced Devops professional and also given professional trainings then feel free to connect with us for more.
Implement integrations requested by customers
Deploy updates and fixes
Provide Level 2 technical support
Build tools to reduce occurrences of errors and improve customer experience
Develop software to integrate with internal back-end systems
Perform root cause analysis for production errors
Investigate and resolve technical issues
Develop scripts to automate visualization
Design procedures for system troubleshooting and maintenance
Multiple Clouds [AWS/Azure/GCP] hands on experience
Good Experience on Docker implementation at scale.
Kubernets implementation and orchestration.
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