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The responsibilities of the Desktop Support Engineer include building, maintaining, and resolving issues within the continually evolving IT infrastructure. This engineer plays a crucial role in providing computer support, which is essential for maintaining the seamless and efficient operation of the IT infrastructure.
1. Technical Support
2. Problem Diagnosis and Resolution
3. Maintenance and Repair
4. Documentation and Record Keeping
5 Security Compliance
6. Network Support:


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.
Lead DevSecOps Engineer
Location: Pune, India (In-office) | Experience: 3–5 years | Type: Full-time
Apply here → https://lnk.ink/CLqe2
About FlytBase:
FlytBase is a Physical AI platform powering autonomous drones and robots across industrial sites. Our software enables 24/7 operations in critical infrastructure like solar farms, ports, oil refineries, and more.
We're building intelligent autonomy — not just automation — and security is core to that vision.
What You’ll Own
You’ll be leading and building the backbone of our AI-native drone orchestration platform — used by global industrial giants for autonomous operations.
Expect to:
- Design and manage multi-region, multi-cloud infrastructure (AWS, Kubernetes, Terraform, Docker)
- Own infrastructure provisioning through GitOps, Ansible, Helm, and IaC
- Set up observability stacks (Prometheus, Grafana) and write custom alerting rules
- Build for Zero Trust security — logs, secrets, audits, access policies
- Lead incident response, postmortems, and playbooks to reduce MTTR
- Automate and secure CI/CD pipelines with SAST, DAST, image hardening
- Script your way out of toil using Python, Bash, or LLM-based agents
- Work alongside dev, platform, and product teams to ship secure, scalable systems
What We’re Looking For:
You’ve probably done a lot of this already:
- 3–5+ years in DevOps / DevSecOps for high-availability SaaS or product infra
- Hands-on with Kubernetes, Terraform, Docker, and cloud-native tooling
- Strong in Linux internals, OS hardening, and network security
- Built and owned CI/CD pipelines, IaC, and automated releases
- Written scripts (Python/Bash) that saved your team hours
- Familiar with SOC 2, ISO 27001, threat detection, and compliance work
Bonus if you’ve:
- Played with LLMs or AI agents to streamline ops and Built bots that monitor, patch, or auto-deploy.
What It Means to Be a Flyter
- AI-native instincts: You don’t just use AI — you think in it. Your terminal window has a co-pilot.
- Ownership without oversight: You own outcomes, not tasks. No one micromanages you here.
- Joy in complexity: Security + infra + scale = your happy place.
- Radical candor: You give and receive sharp feedback early — and grow faster because of it.
- Loops over lines: we prioritize continuous feedback, iteration, and learning over one-way execution or rigid, linear planning.
- H3: Happy. Healthy. High-Performing. We believe long-term performance stems from an environment where you feel emotionally fulfilled, physically well, and deeply motivated.
- Systems > Heroics: We value well-designed, repeatable systems over last-minute firefighting or one-off effort.
Perks:
▪ Unlimited leave & flexible hours
▪ Top-tier health coverage
▪ Budget for AI tools, courses
▪ International deployments
▪ ESOPs and high-agency team culture
Apply Here- https://lnk.ink/CLqe2
DevOps Engineer
1. Should have at least 5+ years of experience
2. Should have working experience in Docker, Microservices Architecture Application Deployment, GitHub Container Registry, GitHub Actions, Load Balancer, Nginx Web server,
3. Should have working expertise in CI/CD tool
4. Should have working experience with the bash script
5. Good to have at least one cloud platform services knowledge
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description :
- Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
- Extensive AWS/GCP Core Infrastructure skills
- Infrastructure/ IAC Automation, Integration - Terraform
- Kubernetes resources engineering and management
- Experience with DevOps tools, CICD pipelines and release management
- Good at creating documentation(runbooks, design documents, implementation plans )
Linux Experience :
- Namespace
- Virtualization
- Containers
Networking Experience
- Virtual networking
- Overlay networks
- Vxlans, GRE
Kubernetes Experience :
Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.
Observability
Experience in observability is a plus
Cloud automation :
Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.
Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.
Qualifications BE/ B.Tech/ MCA in computer science
Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon
We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.
You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge.
We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.
Minimum 4 years exp
Skillsets:
- Build automation/CI: Jenkins
- Secure repositories: Artifactory, Nexus
- Build technologies: Maven, Gradle
- Development Languages: Python, Java, C#, Node, Angular, React/Redux
- SCM systems: Git, Github, Bitbucket
- Code Quality: Fisheye, Crucible, SonarQube
- Configuration Management: Packer, Ansible, Puppet, Chef
- Deployment: uDeploy, XLDeploy
- Containerization: Kubernetes, Docker, PCF, OpenShift
- Automation frameworks: Selenium, TestNG, Robot
- Work Management: JAMA, Jira
- Strong problem solving skills, Good verbal and written communication skills
- Good knowledge of Linux environment: RedHat etc.
- Good in shell scripting
- Good to have Cloud Technology : AWS, GCP and Azure
- JD: • 10+ years of overall industry experience
• 5+ years of cloud experience
• 2+ years of architect experience
• Varied background preferred between systems and development
o Experience working with applications, not pure infra experience
• Azure experience – strong background using Azure for application migrations
• Terraform experience – should mention automation technologies in job experience
• Hands on experience delivering in the cloud
• Must have job experience designing solutions for customers
• IaaS Cloud architect
workload migrations to AWS and/or Azure
• Security architecture considerations experience
• CI/CD experience
• Proven applications migration track of record.

- Hands on experience in following is a must: Unix, Python and Shell Scripting.
- Hands on experience in creating infrastructure on cloud platform AWS is a must.
- Must have experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef.
- Must be good at these DevOps tools:
Version Control Tools: Git, CVS
Build Tools: Maven and Gradle
CI Tools: Jenkins
- Hands-on experience with Analytics tools, ELK stack.
- Knowledge of Java will be an advantage.
- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort.
- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on