
Review Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.

Similar jobs
Key Qualifications :
- At least 2 years of hands-on experience with cloud infrastructure on AWS or GCP
- Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
- Knowledge in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
- Familiarity with monitoring and alerting tools(e.g. CloudWatch, ELK stack, Prometheus)
- Proven ability to work independently or as an integral member of a team
Preferable Skills :
- Familiarity with standard IT security practices such as encryption, credentials and key management
- Proven ability to acquire various coding languages (Java, Python- ) to support DevOps operation and cloud transformation
- Familiarity in web standards (e.g. REST APIs, web security mechanisms)
- Multi-cloud management experience with GCP / Azure
- Experience in performance tuning, services outage management and troubleshooting
Lightning Job By Cutshort ⚡
As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)
Job Overview:
We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
Responsibilities:
• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.
• Deploy and manage Kubernetes clusters using AWS.
• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.
• Monitor system performance using Datadog, ELK, and Cloudflare tools.
• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.
• Collaborate with development teams to design, implement and test infrastructure changes.
• Troubleshoot and resolve infrastructure issues as they arise.
• Participate in on-call rotation and provide support for production issues.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 4+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
• Strong understanding of Linux administration and shell scripting.
• Experience with automation tools such as Terraform, Ansible, or similar.
• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.
• Experience with container orchestration platforms such as Kubernetes.
• Familiarity with container technologies such as Docker.
• Experience with cloud providers such as AWS.
• Experience with monitoring tools such as Datadog and ELK.
Skills:
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently or in a team environment.
• Strong attention to detail.
• Ability to learn and apply new technologies quickly.
• Ability to work in a fast-paced and dynamic environment.
• Strong understanding of DevOps principles and methodologies.
Kindly apply at https://www.wohlig.com/careers
Key Skills Required:
· You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services.
· You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers.
· You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.
· You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application
To be the right fit, you'll need:
· Expert in Cloud Services like AWS.
· Experience in Terraform Scripting.
· Experience in container technology like Docker and orchestration like Kubernetes.
· Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.
· Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)
Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)
Location: Pune – Onsite
About Us:
We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!
Role Overview:
We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.
Key Responsibilities:
- Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
- Collaborate with data scientists and engineers to build scalable AI-driven solutions.
- Analyze large volumes of data to extract meaningful insights and improve ad performance.
- Develop and deploy machine learning pipelines for automated decision-making.
- Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
- Optimize existing models for speed, scalability, and accuracy.
- Work closely with product managers to align AI solutions with business goals.
Requirements:
- Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
- Strong programming skills in Python, R, or similar languages.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Expertise in data processing and real-time analytics.
- Strong understanding of digital advertising, programmatic platforms, and ad server technology.
- Excellent problem-solving and analytical skills.
- Immediate joiners preferred.
Preferred Skills:
- Knowledge of big data technologies like Spark, Hadoop, or Kafka.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with MLOps practices and tools.
How to Apply:
If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.
Join us in building the future of AI-driven digital advertising!
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
Responsibilities:
- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.
- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.
- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.
- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.
- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.
- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.
- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.
- Ensure high availability, performance, and security of cloud infrastructure and applications.
- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.
- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.
- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.
- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.
- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.
- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.
- Design, Develop, deploy, and run operations of infrastructure services in the Acqueon AWS cloud environment
- Manage uptime of Infra & SaaS Application
- Implement application performance monitoring to ensure platform uptime and performance
- Building scripts for operational automation and incident response
- Handle schedule and processes surrounding cloud application deployment
- Define, measure, and meet key operational metrics including performance, incidents and chronic problems, capacity, and availability
- Lead the deployment, monitoring, maintenance, and support of operating systems (Windows, Linux)
- Build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies
- Run incident resolution within the environment, facilitating teamwork with other departments as required
- Automate the deployment of new software to cloud environment in coordination with DevOps engineers
- Work closely with Presales, understand customer requirement to deploy in Production
- Lead and mentor a team of operations engineers
- Drive the strategy to evolve and modernize existing tools and processes to enable highly secure and scalable operations
- AWS infrastructure management, provisioning, cost management and planning
- Prepare RCA incident reports for internal and external customers
- Participate in product engineering meetings to ensure product features and patches comply with cloud deployment standards
- Troubleshoot and analyse performance issues and customer reported incidents working to restore services within the SLA
- Monthly SLA Performance reports
As a Cloud Operations Manager in Acqueon you will need….
- 8 years’ progressive experience managing IT infrastructure and global cloud environments such as AWS, GCP (must)
- 3-5 years management experience leading a Cloud Operations / Site Reliability / Production Engineering team working with globally distributed teams in a fast-paced environment
- 3-5 years’ experience in IAC (Terraform, K8)
- 3+ years end-to-end incident management experience
- Experience with communicating and presenting to all stakeholders
- Experience with Cloud Security compliance and audits
- Detail-oriented. The ideal candidate is one who naturally digs as deep as they need to understand the why
- Knowledge on GCP will be added advantage
- Manage and monitor customer instances for uptime and reliability
- Staff scheduling and planning to ensure 24x7x365 coverage for cloud operations
- Customer facing, excellent communication skills, team management, troubleshooting
Responsibilities
- Building and maintenance of resilient and scalable production infrastructure
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Managing a team of DevOps, control of task deliveries
- Incident analysis and fixing
Technology stack
Linux, Bash, Salt/Ansible, LXC, libvirt, IPsec, VXLAN, Open vSwitch, OpenVPN, OSPF, BIRD, Cisco NX-OS, Multicast, PIM, LVM, software RAID, LUKS, PostgreSQL, nginx, haproxy, Prometheus, Grafana, Zabbix, GitLab, Capistrano
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with git
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
Preferred experience
- Experience of working with highload zero-downtown environments
- Experience of coding on Python
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience of working with Solarflare Onload
- Experience administering Atlassian products









