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We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.
Responsibilities:
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
- Monitor and optimize Azure environments to ensure high availability, performance, and security.
- Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
- Troubleshoot and resolve issues related to build, deployment, and infrastructure.
- Implement and manage version control systems, primarily using Git.
- Manage containerization and orchestration using tools like Docker and Kubernetes.
- Ensure compliance with industry standards and best practices for security, scalability, and reliability.
GCP Cloud Engineer:
- Proficiency in infrastructure as code (Terraform).
- Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
- Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
- Design Disaster Recovery and backup strategies to meet application objectives.
- Working knowledge of Google Cloud
- Working knowledge of various tools, open-source technologies, and cloud services
- Experience working on Linux based infrastructure.
- Excellent problem-solving and troubleshooting skills
2. Kubernetes Engineer
DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.
At Least 4 Years of experience in DevOps with knowledge of:
- Docker
- Docker Cloud / Containerization
- DevOps Best Practices
- Distributed Applications
- Deployment Architecture
- Atleast AWS Experience
- Exposure to Kubernetes / Serverless Architecture
Skills:
- 3-7+ years of experience in DevOps Engineering
- Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
- Experience with Docker Swarm, Docker Compose, Docker Engine
- Experience with Provisioning and managing VM's - Virtual Machines
- Experience / strong knowledge with Network Topologies, Network Research,
- Jenkins, BitBucket, Jira
- Ansible or other Automation Configuration Management System tools
- Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
- Linux Systems Administration -: Redhat
Additional Preference:
Security, SSL configuration, Best Practices
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)
- 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
- Lead, inspire, and influence to make sure your team is successful
- Partner with the recruiting team to attract and retain high-quality and diverse talent
- Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
- Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp
You'll need:
- BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
- Strong fundamentals in distributed systems design and development
- Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
- Experience running production services in Public Clouds such as AWS, GCP, and Azure
- Experience with running large stateful data systems in the Cloud
- Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
- A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
- Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team
Job Description
- Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
- Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
- Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
- Expert Knowledge in - Git, Jenkins
- Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
- Good working knowledge with scripting languages such as Python, php
- Good communications and Presentation Skills
Preferred Education:
Bachelor's Degree or global equivalent in Computer Science or related field









