
we’d love to speak with you. Skills and Qualifications:
Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.
Proficiency in scripting languages such as Python, Bash, or Ruby.
Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.
Experience with version control systems such as Git.
Familiarity with Agile methodologies and practices.
Understanding of networking concepts and principles.
Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.
Good understanding of security and data protection principles.
Roles and responsibilities:
● Building and setting up new development tools and infrastructure
● Working on ways to automate and improve development and release processes
● Deploy updates and fixes
● Helping to ensure information security best practices
● Provide Level 2 technical support
● Perform root cause analysis for production errors
● Investigate and resolve technical issues

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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.
Job Title: DevOps Engineer
Job Description: We are seeking an experienced DevOps Engineer to support our Laravel, JavaScript (Node.js, React, Next.js), and Python development teams. The role involves building and maintaining scalable CI/CD pipelines, automating deployments, and managing cloud infrastructure to ensure seamless delivery across multiple environments.
Responsibilities:
Design, implement, and maintain CI/CD pipelines for Laravel, Node.js, and Python projects.
Automate application deployment and environment provisioning using AWS and containerization tools.
Manage and optimize AWS infrastructure (EC2, ECS, RDS, S3, CloudWatch, IAM, Lambda).
Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Manage configuration automation using Ansible.
Build and manage containerized environments using Docker (Kubernetes is a plus).
Monitor infrastructure and application performance using CloudWatch, Prometheus, or Grafana.
Ensure system security, data integrity, and high availability across environments.
Collaborate with development teams to streamline builds, testing, and deployments.
Troubleshoot and resolve infrastructure and deployment-related issues.
Required Skills:
AWS (EC2, ECS, RDS, S3, IAM, Lambda)
CI/CD Tools: Jenkins, GitLab CI/CD, AWS CodePipeline, CodeBuild, CodeDeploy
Infrastructure as Code: Terraform or AWS CloudFormation Configuration Management: Ansible
Containers: Docker (Kubernetes preferred)
Scripting: Bash, Python
Version Control: Git, GitHub, GitLab
Web Servers: Apache, Nginx (preferred)
Databases: MySQL, MongoDB (preferred)
Qualifications:
3+ years of experience as a DevOps Engineer in a production environment.
Proven experience supporting Laravel, Node.js, and Python-based applications.
Strong understanding of CI/CD, containerization, and automation practices.
Experience with infrastructure monitoring, logging, and performance optimization.
Familiarity with agile and collaborative development processes.
ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Key Responsibilities:
- ☁️ Manage cloud infrastructure and automation on AWS, Google Cloud (GCP), and Azure.
- 🖥️ Deploy and maintain Windows Server environments, including Internet Information Services (IIS).
- 🐧 Administer Linux servers and ensure their security and performance.
- 🚀 Deploy .NET applications (ASP.Net, MVC, Web API, WCF, etc.) using Jenkins CI/CD pipelines.
- 🔗 Manage source code repositories using GitLab or GitHub.
- 📊 Monitor and troubleshoot cloud and on-premises server performance and availability.
- 🤝 Collaborate with development teams to support application deployments and maintenance.
- 🔒 Implement security best practices across cloud and server environments.
Required Skills:
- ☁️ Hands-on experience with AWS, Google Cloud (GCP), and Azure cloud services.
- 🖥️ Strong understanding of Windows Server administration and IIS.
- 🐧 Proficiency in Linux server management.
- 🚀 Experience in deploying .NET applications and working with Jenkins for CI/CD automation.
- 🔗 Knowledge of version control systems such as GitLab or GitHub.
- 🛠️ Good troubleshooting skills and ability to resolve system issues efficiently.
- 📝 Strong documentation and communication skills.
Preferred Skills:
- 🖥️ Experience with scripting languages (PowerShell, Bash, or Python) for automation.
- 📦 Knowledge of containerization technologies (Docker, Kubernetes) is a plus.
- 🔒 Understanding of networking concepts, firewalls, and security best practices.
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.
- Recommend a migration and consolidation strategy for DevOps tools
- Design and implement an Agile work management approach
- Make a quality strategy
- Design a secure development process
- Create a tool integration strategy

- Provides free and subscription-based website and email services hosted and operated at data centres in Mumbai and Hyderabad.
- Serve global audience and customers through sophisticated content delivery networks.
- Operate a service infrastructure using the latest technologies for web services and a very large storage infrastructure.
- Provides virtualized infrastructure, allows seamless migration and the addition of services for scalability.
- Pioneers and earliest adopters of public cloud and NoSQL big data store - since more than a decade.
- Provide innovative internet services with work on multiple technologies like php, java, nodejs, python and c++ to scale our services as per need.
- Has Internet infrastructure peering arrangements with all the major and minor ISPs and telecom service providers.
- Have mail traffic exchange agreements with major Internet services.
Job Details :
- This job position provides competitive professional opportunity both to experienced and aspiring engineers. The company's technology and operations groups are managed by senior professionals with deep subject matter expertise.
- The company believes having an open work environment offering mentoring and learning opportunities with an informal and flexible work culture, which allows professionals to actively participate and contribute to the success of our services and business.
- You will be part of a team that keeps the business running for cloud products and services that are used 24- 7 by the company's consumers and enterprise customers around the world. You will be asked to contribute to operate, maintain and provide escalation support for the company's cloud infrastructure that powers all of cloud offerings.
Job Role :
- As a senior engineer, your role grows as you gain experience in our operations. We facilitate a hands-on learning experience after an induction program, to get you into the role as quickly as possible.
- The systems engineer role also requires candidates to research and recommend innovative and automated approaches for system administration tasks.
- The work culture allows a seamless integration with different product engineering teams. The teams work together and share responsibility to triage in complex operational situations. The candidate is expected to stay updated on best practices and help evolve processes both for resilience of services and compliance.
- You will be required to provide support for both, production and non-production environments to ensure system updates and expected service levels. You will be required to specifically handle 24/7 L2 and L3 oversight for incident responses and have an excellent understanding of the end-to-end support process from client to different support escalation levels.
- The role also requires a discipline to create, update and maintain process documents, based on operation incidents, technologies and tools used in the processes to resolve issues.
QUALIFICATION AND EXPERIENCE :
- A graduate degree or senior diploma in engineering or technology with some or all of the following:
- Knowledge and work experience with KVM, AWS (Glacier, S3, EC2), RabbitMQ, Fluentd, Syslog, Nginx is preferred
- Installation and tuning of Web Servers, PHP, Java servlets, memory-based databases for scalability and performance
- Knowledge of email related protocols such as SMTP, POP3, IMAP along with experience in maintenance and administration of MTAs such as postfix, qmail, etc will be an added advantage
- Must have knowledge on monitoring tools, trend analysis, networking technologies, security tools and troubleshooting aspects.
- Knowledge of analyzing and mitigating security related issues and threats is certainly desirable.
- Knowledge of agile development/SDLC processes and hands-on participation in planning sprints and managing daily scrum is desirable.
- Preferably, programming experience in Shell, Python, Perl or C.
We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.
What we are looking for
- Must have strong knowledge of Kubernetes and Helm3
- Should have previous experience in Dockerizing the applications.
- Should be able to automate manual tasks using Shell or Python
- Should have good working knowledge on AWS and GCP clouds
- Should have previous experience working on Bitbucket, Github, or any other VCS.
- Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
- Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
- Should have a good understanding of ELK Stack.
- Exposure on Jira, confluence, and Sprints.
What you will do:
- Mentor junior Devops engineers and improve the team’s bar
- Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
- Oversight of all server environments, from Dev through Production.
- Responsible for the automation and configuration management
- Provides stable environments for quality delivery
- Assist with day-to-day issue management.
- Take lead in containerising microservices
- Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
- Enables the automation of CI/CD
- Implement dashboard to monitors various
- 1-3 years of experience in DevOps
- Experience in setting up front end best practices
- Working in high growth startups
- Ownership and Be Proactive.
- Mentorship & upskilling mindset.
- systems and applications
what you’ll get- Health Benefits
- Innovation-driven culture
- Smart and fun team to work with
- Friends for life
- 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
Specific responsibilities commensurate with experience and include:
- Ability to react quickly and effectively to identify and resolve issues that heavily impact CI/CD system (immediate mitigation of impact, long-term resolution including strategies for risk mitigation/monitoring/alert for proactive resolution of potential future occurrences)
- Design, develop, unit test, and implement build automation scripts including environment configuration validation processes
- Automate and improve development process by evaluation and introduction of new tools and scripts, and manage their life cycle and validation
- Determine branching strategy and maintain branches for various components, products, and product lines
- Come up with solutions to open-ended problems that focus on workflow improvements for the Software department
- Address issues with well-defined requirements efficiently; come up with short-term and long-term solutions and staged deployment strategies
- Self-driven-- takes action to move tickets from start to completion with minimal oversight
- Ability to communicate with and consider perspectives of stakeholders including but not limited to: IT, software development, verification
- Ability to break down a problem into smaller components and solve them in a logical, controlled, clearly explainable approach
- Lead the creation and maintenance of a pre-production environment as a testbed for build process improvements and changes before deployment to the production environment
- Gather metrics via direct input, data based on analysis of developer working habits analysis and pain points to assess current state and areas requiring further improvement
- Define chain of communication and immediate paths of action in the case of a build fault state
- Ability to work within constraints of the internal network without access to commercial cloud solutions
- Create metrics that define ‘efficiency’ and ‘reliability’ in measurable terms, and track them
- Perform static code and security analysis
- Design and execute unit tests and perform code coverage analysis
- Able to work in Agile development team environment
Key Requirement & Qualifications:
- Bachelor’s degree (or higher) in Electrical Engineering, Computer Engineering, Computer Science or equivalent
- 6+ years (minimum) experience handling Build, Release, and Deployment of software on Windows and/or Linux environments (on-premise)
- Experience with the development and deployment of CM processes and tools
- Build automation for .NET using TeamCity (Jenkins is an asset)
- Scripting languages: Windows batch scripting, Powershell, Ant/NAnt
- Source control systems usage, branching strategies, and workflow (Git preferred, Subversion)
- 6+ years of hands-on programming experience with C# and .NET (both Framework and Core)
- Troubleshooting and debugging-- what information to gather when there are issues with CI/CD system, and how to gather it (i.e., analyzing network communication? Windows crash dumps, java logs, etc.)
- 6+ years (minimum) in web/desktop application software development experience
- Excellent problem solving, critical and analytical thinking
- Strong team player who understands SDLC and QA methodologies
- A professional, results-oriented individual with a high degree of self-motivation
- Excellent written and verbal communication skills and the ability to coordinate work/activities with multiple software/IT teams
- Working with virtual machines and build management on virtual machines (VMware preferred).
- Managing configurations for multiple build environments
- OS administration and scripting experience (Windows is a must, Linux desired)
- Experience with test automation tools (NUnit, customer inhouse frameworks) and strategies is an asset
- Creation and maintenance of monitoring and alert systems (Zabbix)
- Familiarity with databases (SQL-based) - create, modify, optimize (via script)
- Data and metrics gathering, aggregation, and reporting
- Experience with work management and documentation tools: JIRA and Confluence









