11+ Load balancing Jobs in Chennai | Load balancing Job openings in Chennai
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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
Global digital transformation solutions provider.
GitHubJob Details
- Job Title: DevOps and SRE -Technical Project Manager
- Industry: Global digital transformation solutions provider
- Domain - Information technology (IT)
- Experience Required: 12-15 years
- Employment Type: Full Time
- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad
- CTC Range: Best in Industry
Job Description
Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.
Key Responsibilities
- Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
- Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
- Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
- Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
- Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
- Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
- Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
- Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
- Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
- Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
- 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
- Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
- Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
- Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
- Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
- Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
- Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
- Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
- Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
- Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.
Skills: Devops Tools, Cloud Infrastructure, Team Management
Must-Haves
DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)
Notice period - 0 to 15days only
Kubernetes
DockerAmazon Web Services (AWS)Wissen Technology is hiring for Devops engineer
Required:
-4 to 10 years of relevant experience in Devops
-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline
-Good to have exposure on Github or Gitlab
-Open to work from hashtag Chennai
-Work mode will be Hybrid
Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Chennai
Website : www.wissen.com
Wissen Thought leadership : https://lnkd.in/gvH6VBaU
LinkedIn: https://lnkd.in/gnK-vXjF
Amazon Web Services (AWS)DockerKubernetesRoles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
DockerKubernetes· Strong knowledge on Windows and Linux
· 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
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
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).
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)
DockerKubernetes
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.
Java
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