
Senior DevOps Engineer
Experience: Minimum 5 years of relevant experience
Key Responsibilities:
• Hands-on experience with AWS tools and CI/CD pipelines, Redhat Linux
• Strong expertise in DevOps practices and principles
• Experience with infrastructure automation and configuration management
• Excellent problem-solving skills and attention to detail
Nice to Have:
• Redhat certification

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We are seeking a highly skilled and motivated MLOps Engineer with 3-5 years of experience to join our engineering team. The ideal candidate should possess a strong foundation in DevOps or software engineering principles with practical exposure to machine learning operational workflows. You will be instrumental in operationalizing ML systems, optimizing the deployment lifecycle, and strengthening the integration between data science and engineering teams.
Required Skills:
• Hands-on experience with MLOps platforms such as MLflow and Kubeflow.
• Proficiency in Infrastructure as Code (laC) tools like Terraform or Ansible.
• Strong familiarity with monitoring and alerting frameworks (Prometheus, Grafana, Datadog, AWS CloudWatch).
• Solid understanding of microservices architecture, service discovery, and load balancing.
• Excellent programming skills in Python, with experience in writing modular, testable, and maintainable code.
• Proficient in Docker and container-based application deployments.
• Experience with CI/CD tools such as Jenkins or GitLab Cl.
• Basic working knowledge of Kubernetes for container orchestration.
• Practical experience with cloud-based ML platforms such as AWS SageMaker, Databricks, or Google Vertex Al.
Good-to-Have Skills:
• Awareness of security practices specific to ML pipelines, including secure model endpoints and data protection.
• Experience with scripting languages like Bash or PowerShell for automation tasks.
• Exposure to database scripting and data integration pipelines.
Experience & Qualifications:
• 3-5+ years of experience in MLOps, Site Reliability Engineering (SRE), or
Software Engineering roles.
• At least 2+ years of hands-on experience working on ML/Al systems in production settings.
About the Role
We are looking for an experienced and driven DevOps Engineer to join our team and take ownership of building, maintaining, and optimizing cloud infrastructure. This role is ideal for professionals with strong experience in AWS, Kubernetes, CI/CD, Docker, and Terraform, who thrive in fast-paced, agile environments.
Key Responsibilities
- Cloud Infrastructure: Design, deploy, and manage scalable infrastructure on AWS
- Infrastructure as Code (IaC): Use Terraform for automating cloud resource provisioning
- Containerization: Manage and deploy Docker containers and Kubernetes clusters
- CI/CD Pipeline Management: Build and maintain pipelines using Jenkins, Bitbucket CI/CD, ArgoCD, etc.
- Automation: Automate deployment processes using tools like Ansible and Terraform
- Monitoring & Troubleshooting: Set up proactive monitoring and alerting systems
- Cross-Functional Collaboration: Partner with development teams to align infrastructure with application needs
- Security: Ensure security best practices across infrastructure and deployments
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 8+ years of hands-on experience in a DevOps or similar role
- Strong expertise in AWS services (EC2, S3, VPC, IAM, etc.)
- Proficiency with Kubernetes, Docker, and container orchestration
- Advanced experience with CI/CD tools (Jenkins, Bitbucket, ArgoCD)
- Working knowledge of Terraform, CloudFormation, and scripting languages (Python, Bash)
- Solid understanding of networking and cloud security principles
Please Apply - https://zrec.in/sEzbp?source=CareerSite
About Us
Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.
Job Description
Job Title: DevOps Engineer Azure
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 2-4 years
Education: B.Tech/MCA/BCA
Notice Period: Immediately
Infra360.io is searching for a DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As a DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure.
Below is a detailed description of the roles and responsibilities, expectations for the role.
Tech Stack :
- Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
- Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
- ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
- Helm: Expertise in Helm for managing Kubernetes applications.
- Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
- Debugging and Troubleshooting: The DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.
Key Responsibilities:
- CI/CD and configuration management
- Doing RCA of production issues and providing resolution
- Setting up failover, DR, backups, logging, monitoring, and alerting
- Containerizing different applications on the Kubernetes platform
- Capacity planning of different environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
- CI/CD and configuration management
- Doing RCA of production issues and providing resolution
- Setting up failover, DR, backups, logging, monitoring, and alerting
- Containerizing different applications on the Kubernetes platform
- Capacity planning of different environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
Ideal Candidate Profile:
- A graduation/post-graduation degree in Computer Science and related fields
- 2-4 years of strong DevOps experience with the Linux environment.
- Strong interest in working in our tech stack
- Excellent communication skills
- Worked with minimal supervision and love to work as a self-starter
- Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
- Experience with version control systems like Git
- Strong experience of Amazon Web Services (EC2, RDS, VPC, S3, Route53, IAM etc.)
- Strong experience with managing the Production Systems day in and day out
- Experience in finding issues in different layers of architecture in production environment and fixing them
- Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
- Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
- Experience in automation tools like Ansible/SaltStack and Jenkins
- Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
- Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
- Experience with managing/mentoring small team of 2-3 people (desirable)
- Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
- Experience in logging tools Like ELK/Lo
Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building a restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
At Toast, our Site Reliability Engineers (SREs) are responsible for keeping all customer-facing services and other Toast production systems running smoothly. SREs are a blend of pragmatic operators and software craftspeople who apply sound software engineering principles, operational discipline, and mature automation to our environments and our codebase. Our decisions are based on instrumentation and continuous observability, as well as predictions and capacity planning.
About this roll* (Responsibilities)
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Partner with development teams to improve services through rigorous testing and release procedures
- Participate in system design consulting, platform management, and capacity planning
- Create sustainable systems and services through automation and uplift
- Balance feature development speed and reliability with well-defined service level objectives
Troubleshooting and Supporting Escalations:
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Diagnose performance bottlenecks and implement optimizations across infrastructure, databases, web, and mobile applications
- Implement strategies to increase system reliability and performance through on-call rotation and process optimization
- Perform and run blameless RCAs on incidents and outages aggressively, looking for answers that will prevent the incident from ever happening again
Do you have the right ingredients? (Requirements)
- Extensive industry experience with at least 7+ years in SRE and/or DevOps roles
- Polyglot technologist/generalist with a thirst for learning
- Deep understanding of cloud and microservice architecture and the JVM
- Experience with tools such as APM, Terraform, Ansible, GitHub, Jenkins, and Docker
- Experience developing software or software projects in at least four languages, ideally including two of Go, Python, and Java
- Experience with cloud computing technologies ( AWS cloud provider preferred)
Bread puns are encouraged but not required
Why LiftOff?
We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.
Many on the team are serial entrepreneurs with a history of successful exits.
As a Devops Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.
Must Have
*Work experience of at least 2 years with Kubernetes.
*Hands-on experience working with Kubernetes. Preferably on Azure Cloud.
*Well-versed with Kubectl
*Experience in using Azure Monitor, setting up analytics and reports for Azure containers and services.
*Monitoring and observability
*Setting Alerts and auto-scaling
Nice to have
*Scripting and automation
*Experience with Jenkins or any sort of CI/CD pipelines
*Past experience in setting up cloud infrastructure, configurations and database backups
*Experience with Azure App Service
*Experience of setting up web socket-based applications.
*Working knowledge of Azure APIM
We are a group of passionate people driven by core values. We strive to make every process transparent and have flexible work timings along with excellent startup culture and vibe.
As 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)
We are hiring for https://www.linkedin.com/feed/hashtag/?keywords=devops&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Devops Engineer for a reputed https://www.linkedin.com/feed/hashtag/?keywords=mnc&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#MNC
Job Description:
Total exp- 6+Years
Must have:
Minimum 3-4 years hands-on experience in https://www.linkedin.com/feed/hashtag/?keywords=kubernetes&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Kubernetes and https://www.linkedin.com/feed/hashtag/?keywords=docker&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Docker
Proficiency in https://www.linkedin.com/feed/hashtag/?keywords=aws&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#AWS Cloud
Good to have Kubernetes admin certification
Job Responsibilities:
Responsible for managing Kubernetes cluster
Deploying infrastructure for the project
Build https://www.linkedin.com/feed/hashtag/?keywords=cicd&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#CICD pipeline
Looking for https://www.linkedin.com/feed/hashtag/?keywords=immediate&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Immediate Joiners only
Location: Pune
Salary: As per market standards
Mode: https://www.linkedin.com/feed/hashtag/?keywords=work&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Work from office
Araali Networks is seeking a highly driven DevOps engineer to help streamline the release and deployment process, while assuring high quality.
Responsibilities:
Use best practices to streamline the release process
Use IaC methods to manage cloud infrastructure
Use test automation for release qualification
Skills and Qualifications:
Hands-on experience in managing release pipelines
Good understanding of public cloud infrastructure
Working knowledge of python test frameworks like pyunit, and automation tools like Selenium, Cucumber etc
Strong analytical and debugging skills
Bachelor’s degree in Computer Science
About Araali:
Araali Networks is a SaaS based cybersecurity startup that has raised a total of $10M from well known investors like A Capital, Firebolt Ventures and SV Angels, and and through a strategic investment by a publicly traded security company.
The company is disrupting the cloud firewall market by auto-creating nano-perimeters around every cloud app. The Araali solution enables developers to focus on features and improves the security posture through simplification and automation.
The security controls are embedded at the time of DevOps. The precision of Araali controls also helps with security operations where alerts are precise and intelligently routed to the right app team, making it actionable in real-time.
We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!
About You
You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.
You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.
You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.
You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.
You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result
An ideal candidate is/are:
This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.
- Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
- Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
- Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
- Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
- Manage deployments and rollbacks of applications
- Implement monitoring and metrics with Cloud watch, Newrelic
- Troubleshoot and optimize containerized workload deployments for clients
- Automate operational tasks, and assist in the transition to service ownership models.


DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery

