11+ GCS Jobs in Chennai | GCS Job openings in Chennai
Apply to 11+ GCS Jobs in Chennai on CutShort.io. Explore the latest GCS Job opportunities across top companies like Google, Amazon & Adobe.
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.
PythonAI & ML (45 Days – Live Hands‑On)
Program Fee: ₹25,000
Duration: 45 Days
Mode: Hybrid (Online Sessions + Live Lab Access)
Eligibility: Freshers, Final‑Year Students, and Career Switchers
About the Internship
This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.
Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:
- Cloud/Infra Engineer
- DevOps Engineer
- Security Analyst
- AI/ML Engineer
- Site Reliability Engineer (SRE)
Key Highlights
- 45 days of practical, mentor-led training
- Live production-style projects and deployments
- Hands‑on experience with:
- AWS / Azure Cloud
- Terraform, CI/CD, Docker, Kubernetes
- Security Hardening & IAM
- Python ML pipelines & model deployment
- Architect & deploy real systems using best practices
- Build portfolio-ready projects
- Receive an industry-recognized Internship Certificate
What You Will Learn
1️⃣ Cloud Infrastructure & DevOps
- Cloud fundamentals (AWS/Azure/GCP)
- Linux administration & scripting
- VPC, Subnets, Routing, NAT, Firewalls
- EC2 provisioning & autoscaling
- Load balancing & High Availability
- Terraform for Infrastructure as Code
- CI/CD pipelines using Jenkins / GitHub Actions
- Docker containerization & Kubernetes basics
2️⃣ Cybersecurity & Cloud Security
- IAM roles, policies, access control
- Server security & hardening
- SSL/TLS, encryption, key management
- Secure VPC & subnet design
- Threat detection & logging
- Secrets management
- Network segmentation & firewall best practices
3️⃣ AI & Machine Learning
- Python for ML
- Supervised and unsupervised algorithms
- Data preprocessing & model training
- Model evaluation & optimization
- Build ML inference APIs using FastAPI/Flask
- Containerize and deploy ML models to cloud
- Integrate monitoring for ML workflows
✅ Live Hands‑On Projects
Interns will work on real-world, production-grade projects such as:
- Deploy a secure 3‑tier web application on cloud
- Automate infra provisioning using Terraform
- Build CI/CD pipelines for automated deployments
- Harden servers & configure security groups, IAM
- Develop and deploy an ML model as a cloud API
- Create monitoring dashboards with Prometheus/Grafana
- End-to-end system deployment with logging and alerting
Each intern will complete a Capstone Project and present it during the final evaluation.
✅ Internship Deliverables
- Internship Completion Certificate
- 3+ Production‑level projects
- GitHub portfolio with all code and deployments
- Cloud & ML documentation
- Resume enhancement and guidance
- Career mentoring + interview preparation
✅ Who Should Apply
This internship is ideal for:
- Fresh graduates
- Final‑year engineering or IT students
- BSc, BCA, MCA, B.Tech learners
- Professionals switching careers to Cloud/DevOps/AI
- Anyone seeking hands‑on, real‑time industry experience
✅ Program Fee
₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)
✅ Certificate Provided
All participants will receive a verified Internship Certificate, including:
- Candidate Name
- Internship Duration & Dates
- Skills Covered
- Project Evaluation Score
- Authorized Signatory & Company Seal
Amazon Web Services (AWS)Job Title: AWS DevOps Engineer
Experience Level: 5+ Years
Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon
Summary:
We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.
Key Responsibilities:
- Provision AWS infrastructure using Terraform (IaC).
- Manage and troubleshoot Kubernetes clusters (EKS/ECS).
- Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
- Support CI/CD pipelines using Jenkins and GitHub.
- Collaborate with teams to resolve infrastructure and deployment issues.
- Maintain documentation of infrastructure and operational procedures.
Required Skills:
- 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
- Strong Linux administration and troubleshooting skills.
- Experience managing Kubernetes clusters.
- Basic experience with CI/CD tools like Jenkins and GitHub.
- Good communication skills and a positive, team-oriented attitude.
Preferred:
- AWS Certification (e.g., Solutions Architect, DevOps Engineer).
- Exposure to Agile and DevOps practices.
- Experience with monitoring and logging tools.
Kubernetes
JenkinsJob Description
What 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
Behavioral Skills :
• Good Communication skills
Skills
PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100
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
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)
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
DockerKubernetesRequirements
You will make an ideal candidate if you have:
-
Experience of building a range of Services in a Cloud Service provider
-
Expert understanding of DevOps principles and Infrastructure as a Code concepts and techniques
-
Strong understanding of CI/CD tools (Jenkins, Ansible, GitHub)
-
Managed an infrastructure that involved 50+ hosts/network
-
3+ years of Kubernetes experience & 5+ years of experience in Native services such as Compute (virtual machines), Containers (AKS), Databases, DevOps, Identity, Storage & Security
-
Experience in engineering solutions on cloud foundation platform using Infrastructure As Code methods (eg. Terraform)
-
Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
-
Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams
-
Good leadership and teamwork skills - Works collaboratively in an agile environment
-
Operational effectiveness - delivers solutions that align to approved design patterns and security standards
-
Excellent skills in at least one of following: Python, Ruby, Java, JavaScript, Go, Node.JS
-
Experienced in full automation and configuration management
-
A track record of constantly looking for ways to do things better and an excellent understanding of the mechanism necessary to successfully implement change
-
Set and achieved challenging short, medium and long term goals which exceeded the standards in their field
-
Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
-
Built effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same
-
A successful track record of delivering complex projects and/or programmes, utilizing appropriate techniques and tools to ensure and measure success
-
A comprehensive understanding of risk management and proven experience of ensuring own/others' compliance with relevant regulatory processes
Essential Skills :
-
Demonstrable Cloud service provider experience - infrastructure build and configurations of a variety of services including compute, devops, databases, storage & security
-
Demonstrable experience of Linux administration and scripting preferably Red Hat
-
Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools
-
Experience working within an Agile environment
-
Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Node.JS
-
Server administration (either Linux or Windows)
-
Automation scripting (using scripting languages such as Terraform, Ansible etc.)
-
Ability to quickly acquire new skills and tools
Required Skills :
-
Linux & Windows Server Certification
Hi ,
Greetings from ToppersEdge.com India Pvt Ltd
We have job openings for our Client. Kindly find the details below:
Work Location : Bengaluru(remote axis presently)later on they should relocate to Bangalore.
Shift Timings – general shift
Job Type – Permanent Position
Experience – 3-7 years
Candidate should be from Product Based Company only
Job Description
We are looking to expand our DevOps team. This team is responsible for writing scripts to set up infrastructure to support 24*7 availability of the Netradyne services. The team is also responsible for setting up monitoring and alerting, to troubleshoot any issues reported in multiple environments. The team is responsible for triaging of production issues and providing appropriate and timely response to customers.
Requirements
- B Tech/M Tech/MS in Computer Science or a related field from a reputed university.
- Total industry experience of around 3-7 years.
- Programming experience in Python, Ruby, Perl or equivalent is a must.
- Good knowledge and experience of configuration management tool (like Ansible, etc.)
- Good knowledge and experience of provisioning tools (like Terraform, etc.)
- Good knowledge and experience with AWS.
- Experience with setting up CI/CD pipelines.
- Experience, in individual capacity, managing multiple live SaaS applications with high volume, high load, low-latency and high availability (24x7).
- Experience setting up web servers like apache, application servers like Tomcat/Websphere and databases (RDBMS and NoSQL).
- Good knowledge of UNIX (Linux) administration tools.
- Good knowledge of security best practices and knowledge of relevant tools (Firewalls, VPN) etc.
- Good knowledge of networking concepts and UNIX administration tools.
- Ability to troubleshoot issues quickly is required.
Amazon Web Services (AWS)What we are looking for
Work closely with product & engineering groups to identify and document
infrastructure requirements.
Design infrastructure solutions balancing requirements, operational
constraints and architecture guidelines.
Implement infrastructure including network connectivity, virtual machines
and monitoring.
Implement and follow security guidelines, both policy and technical to
protect our customers.
Resolve incidents as escalated from monitoring solutions and lower tiers.
Identify root cause for issues and develop long term solutions to fix recurring
issues.
Ability to automate recurring tasks to increase velocity and quality.
Partner with the engineering team to build software tolerance for
infrastructure failure or issues.
Research emerging technologies, trends and methodologies and enhance
existing systems and processes.
Qualifications
Master’s/Bachelors degree in Computer Science, Computer Engineering,
Electrical Engineering, or related technical field, and two years of experience
in software/systems or related.
5+ years overall experience.
Work experience must have included:
Proven track record in deploying, configuring and maintaining Ubuntu server
systems on premise and in the cloud.
Minimum of 4 years’ experience designing, implementing and troubleshooting
TCP/IP networks, VPN, Load Balancers & Firewalls.
Minimum 3 years of experience working in public clouds like AWS & Azure.
Hands on experience in any of the configuration management tools like Anisble,
Chef & Puppet.
Strong in performing production operation activities.
Experience with Container & Container Orchestrator tools like Kubernetes, Docker
Swarm is plus.
Good at source code management tools like Bitbucket, GIT.
Configuring and utilizing monitoring and alerting tools.
Scripting to automate infrastructure and operational processes.
Hands on work to secure networks and systems.
Sound problem resolution, judgment, negotiating and decision making skills
Ability to manage and deliver multiple project phases at the same time
Strong analytical and organizational skills
Excellent written and verbal communication skills
Interview focus areas
Networks, systems, monitoring
AWS (EC2, S3, VPC)
Problem solving, scripting, network design, systems administration and
troubleshooting scenarios
Culture fit, agility, bias for action, ownership, communication
Amazon Web Services (AWS)Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database
Follow Cutshort