
Roles and Responsibilities:
▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure
Data Factory, Data Factory & Azure Synapse Analytics.
▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client
facing exp.
· Finance/Insurance experience is also a must.
▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for
structured/unstructured data.
▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage
databases. · Python Automation: Develop scripts for data processing, automation, and
integration using Python (Pandas, NumPy).
Technical Skills:
▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to
have)
▪ Knowledge of Python, Pyspark, SQL, ETL concepts
▪ Good understanding of Insurance Operations and KPI reporting is an advantage.

Similar jobs
- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
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.
Responsibilities
● Work with application development teams to identify and understand their operational pain points.
● Document these challenges and define goals to be achieved by the infrastructure team.
● Prototype and evaluate multiple solutions, often by experimenting with various vendors and tools available, to achieve the goals undertaken.
● Rollout tools and processes with heavy focus on automation.
● Evangelize and help onboard application development teams on the platforms provided by the infrastructure team.
● Co-own the responsibility with application development teams to ensure the reliability of services.
● Design and implement solutions around observability to ensure ease of maintenance and quick debugging of services
● Establish and implement administrative and operational best practices in the application development teams.
● Find avenues to reduce infrastructure costs and drive optimization in all services.
Qualifications
● 5+ years of experience as a DevOps / Infrastructure engineer with cloud platforms (preferably AWS)
● Experience with git, CI / CD, Docker, etc
● Experience in working with infrastructure as code (Terraform, etc).
● Strong Linux Shell scripting experience
● Experience with one of the programming languages like Python, Java, Kotlin, etc.
The candidates should have:
· Strong knowledge on Windows and Linux OS
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
We're Hiring: DevOps Tech Lead with 7-9 Years of Experience! 🚀
Are you a seasoned DevOps professional with a passion for cloud technologies and automation? We have an exciting opportunity for a DevOps Tech Lead to join our dynamic team at our Gurgaon office.
🏢 ZoomOps Technolgy Solutions Private Limited
📍 Location: Gurgaon
💼 Full-time position
🔧 Key Skills & Requirements:
✔ 7-9 years of hands-on experience in DevOps roles
✔ Proficiency in Cloud Platforms like AWS, GCP, and Azure
✔ Strong background in Solution Architecture
✔ Expertise in writing Automation Scripts using Python and Bash
✔ Ability to manage IAC tools and CM tools like Terraform, Ansible, pulumi etc..
Responsibilities:
🔹 Lead and mentor the DevOps team, driving innovation and best practices
🔹 Design and implement robust CI/CD pipelines for seamless software delivery
🔹 Architect and optimize cloud infrastructure for scalability and efficiency
🔹 Automate manual processes to enhance system reliability and performance
🔹 Collaborate with cross-functional teams to drive continuous improvement
Join us to work on exciting projects and make a significant impact in the tech space!
Apply now and take the next step in your DevOps career!
Company Introduction :
My Next Developer is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand.
We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.
Job Responsibilities
- Ensure security in the development activities.
- Implement risk management techniques and threat modeling.
- Implement infrastructure automation, monitoring and alerts as part of ISO 27001 and SOC 2 certifications.
- Collaborate with internal teams to produce the best security solutions
Minimum requirements :
- Bachelor's/Master's degree in degree in computer science, cybersecurity, engineering, or equivalent degree.
- 3+ years of experience as a DevSecOps engineer.
- Proficiency in back-end technologies such as NodeJs or Python.
- Expertise in using DevOps tools like GitHub, dependency management, and CI/CD.
- Profound knowledge of AWS cloud, DevOps culture and automation tools.
- Fluent in both spoken and written English communication.
- Ability to work full-time (40 hours/week) with a 2-3 hour overlap with European time zone.
- Stay up-to-date on cybersecurity threats and follow the best practices.
- Previous project experience related to ISO 27001 and SOC 2 certifications.
- Provision Dev Test Prod Infrastructure as code using IaC (Infrastructure as Code)
- Good knowledge on Terraform
- In-depth knowledge of security and IAM / Role Based Access Controls in Azure, management of Azure Application/Network Security Groups, Azure Policy, and Azure Management Groups and Subscriptions.
- Experience with Azure and GCP compute, storage and networking (we can also look for GCP )
- Experience in working with ADLS Gen2, Databricks and Synapse Workspace
- Experience supporting cloud development pipelines using Git, CI/CD tooling, Terraform and other Infrastructure as Code tooling as appropriate
- Configuration Management (e.g. Jenkins, Ansible, Git, etc...)
- General automation including Azure CLI, or Python, PowerShell and Bash scripting
- Experience with Continuous Integration/Continuous Delivery models
- Knowledge of and experience in resolving configuration issues
- Understanding of software and infrastructure architecture
- Experience in Paas, Terraform and AKS
- Monitoring, alerting and logging tools, and build/release processes Understanding of computing technologies across Windows and Linux
- 3 - 6 years of software development, and operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Experience managing any distributed NoSQL system (Kafka/Cassandra/etc.)
- Experience with Containers, Microservices, deployment and service orchestration using Kubernetes, EKS (preferred), AKS or GKE.
- Strong scripting language knowledge, such as Python, Shell
- Experience and a deep understanding of Kubernetes.
- Experience in Continuous Integration and Delivery.
- Work collaboratively with software engineers to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux-based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
- AWS
- Docker
- Kubernetes
- Envoy
- Istio
- Jenkins
- Cloud Security & SIEM stacks
- Terraform
- Demonstrated experience with AWS
- Knowledge of servers, networks, storage, client-server systems, and firewalls
- Strong expertise in Windows and/or Linux operating systems, including system architecture and design, as well as experience supporting and troubleshooting stability and performance issues
- Thorough understanding of and experience with virtualization technologies (e.g., VMWare/Hyper-V)
- Knowledge of core network services such as DHCP, DNS, IP routing, VLANs, layer 2/3 routing, and load balancing is required
- Experience in reading, writing or modifying PowerShell, Bash scripts & Python code.Experience using git
- Working know-how of software-defined lifecycles, product packaging, and deployments
- POSTGRESSQL or Oracle database administration (Backup, Restore, Tuning, Monitoring, Management)
- At least 2 from AWS Associate Solutions Architect, DevOps, or SysOps
- At least 1 from AWS Professional Solutions Architect, DevOps
- AWS: S3, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
- Bigdata: Databricks, Cloudera, Glue and Athena
- DevOps: Jenkins, Bitbucket
- Automation: Terraform, Cloud Formation, Python, Shell scripting Experience in automating AWS infrastructure with Terraform.
- Experience in database technologies is a plus.
- Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
- Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
- Experience working in the SCRUM Environment











