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Job Title : ERP/OMS Integrations Engineer
Experience : 5+ Years
Location : Remote | Full-time
Role Overview :
We’re looking for a technical, client-facing ERP/OMS Integrations Engineer to lead end-to-end implementation of order management systems for e-commerce clients. You’ll handle requirements gathering, system configuration, data flow mapping, integration, testing, and client training.
Mandatory Skills :
OMS/ERP integration (e.g., NetSuite, Skubana), e-commerce platforms (Shopify, Amazon), REST APIs & JSON, data flow mapping, troubleshooting, project management, and client-facing software implementation experience (5+ years).
Key Responsibilities :
- Lead OMS/ERP implementation projects.
- Integrate systems across e-commerce, warehouse, and accounting platforms.
- Troubleshoot data/integration issues.
- Collaborate with internal and external technical teams.
- Train clients and ensure successful onboarding.
Must-Have Skills :
- 5+ years in software implementation (client-facing preferred).
- Experience with OMS/ERP tools (e.g. NetSuite, Skubana, Brightpearl).
- Hands-on with e-commerce platforms (e.g. Shopify, Amazon Seller Central).
- Strong knowledge of REST APIs, JSON.
- Excellent communication & project management skills.
Nice to Have :
- Scripting (Python/JavaScript/SQL)
- Experience with middleware (Celigo, Boomi, Mulesoft)
- Background in supply chain or logistics.
🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀
📍 Location: Pune (Hybrid)
💼 Experience: 5+ Years
🕒 Mode of Work: Hybrid
Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.
🔹 Key Skills Required:
✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)
✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines
✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes
✅ Incident Management: Quick issue resolution and RCA
✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging
✅ Programming: Proficiency in Python, Golang
✅ Performance Optimization: Identifying and resolving system bottlenecks
Job Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
- Experience working on billing and budgets for a GCP project - MUST
- Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
- Experience in implementing the recommendations on GCP
- Architect Certifications on GCP - MUST
- Excellent communication skills (both verbal & written) - MUST
- Excellent documentation skills on processes and steps and instructions- MUST
- At least 2 years of experience on GCP.
Basic Qualifications:
- Bachelor’s/Master’s Degree in Engineering OR Equivalent.
- Extensive scripting or programming experience (Shell Script, Python).
- Extensive experience working with CI/CD (e.g. Jenkins).
- Extensive experience working with GCP, Azure, or Cloud Foundry.
- Experience working with databases (PostgreSQL, elastic search).
- Must have 2 years of minimum experience with GCP certification.
Benefits :
- Competitive salary.
- Work from anywhere.
- Learning and gaining experience rapidly.
- Reimbursement for basic working set up at home.
- Insurance (including top-up insurance for COVID).
Location :
Remote - work from anywhere.
Ideal joining preferences:
Immediate or 15 days
Job Description:
Responsibilities
· Having E2E responsibility for Azure landscape of our customers
· Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction
· Make usage of CI/CD framework to rapidly support lifecycle management of the platform
· Acting as L2-L3 support for incidents, problems and service request
· Work with various Atos and 3rd party teams to resolve incidents and implement changes
· Implement and drive automation and self-healing solutions to reduce toil
· Enhance error budgets and hands on design and development of solutions to address reliability issues and/or risks
· Support ITSM processes and collaborate with service management representatives
Job Requirements
· Azure Associate certification or equivalent knowledge level
· 5+ years of professional experience
· Experience with Terraform and/or native Azure automation
· Knowledge of CI/CD concepts and toolset (i.e. Jenkins, Azure DevOps, Git)
· Must be adaptable to work in a varied, fast paced exciting, ever changing environment
· Good analytical and problem-solving skills to resolve technical issues
· Understanding of Agile development and SCRUM concepts a plus
· Experience with Kubernetes architecture and tools a plus
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)
Implementing various development, testing, automation tools, and IT infrastructure
Selecting and deploying appropriate CI/CD tools
Required Candidate profile
LinuxWorking knowledge of any webserver eg- NGINX or Apache

EXP:: 4 - 7 yrs
- Any scripting language:: Python, Scala, shell or bash
- Cloud:: AWS
- Database:: Relational (SQL) & non-relational (NoSQL)
- CI/CD tools and Version controlling










