
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

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- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
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As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
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JOB DETAILS:
* Job Title: DevOps Engineer (Azure)
* Industry: Technology
* Salary: Best in Industry
* Experience: 2-5 years
* Location: Bengaluru, Koramangala
Review Criteria
- Strong Azure DevOps Engineer Profiles.
- Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).
- Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.
- Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell
- Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database
- Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis
Preferred
- Knowledge of containerisation and orchestration tools such as Docker and Kubernetes.
- Knowledge of Infrastructure as Code and configuration management tools such as Terraform and Ansible.
- Preferred (Education) – BE/BTech / ME/MTech in Computer Science or related discipline
Role & Responsibilities
- Build and maintain Azure DevOps YAML-based CI/CD pipelines for build, test, and deployments.
- Manage Azure DevOps Repos, Pipelines, Boards, and Artifacts.
- Implement Git branching strategies and automate release workflows.
- Develop scripts using Bash, Python, or PowerShell for DevOps automation.
- Monitor systems using Grafana, Prometheus, Datadog, or CloudWatch and handle incidents.
- Collaborate with dev and QA teams in an Agile/Scrum environment.
- Maintain documentation, runbooks, and participate in root cause analysis.
Ideal Candidate
- 2–5 years of experience as an Azure DevOps Engineer.
- Strong hands-on experience with Azure DevOps CI/CD (YAML) and Git.
- Experience with Microsoft Azure (OCI/AWS exposure is a plus).
- Working knowledge of SQL Server, PostgreSQL, or Oracle.
- Good scripting, troubleshooting, and communication skills.
- Bonus: Docker, Kubernetes, Terraform, Ansible experience.
- Comfortable with WFO (Koramangala, Bangalore).
Profile: Devops Lead
Location: Gurugram
Experience: 08+ Years
Notice Period: can join Immediate to 1 week
Company: Watsoo
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 5+ years of proven hands-on DevOps experience.
- Strong experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.).
- Expertise in containerization & orchestration (Docker, Kubernetes, Helm).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Proficiency in Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, or CloudFormation).
- Experience with monitoring and logging solutions (Prometheus, Grafana, ELK, CloudWatch, etc.).
- Proficiency in scripting languages (Python, Bash, or Shell).
- Knowledge of networking, security, and system administration.
- Strong problem-solving skills and ability to work in fast-paced environments.
- Troubleshoot production issues, perform root cause analysis, and implement preventive measures.
Advocate DevOps best practices, automation, and continuous improvement
Roles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
We are an on-demand E-commerce technology and Services Company and a tech-enabled 3PL (third party logistics). We unlocks ecommerce for companies by managing the entire operations lifecycle:
Sell, Fulfil & Reconcile.
Using us, companies can: -
• Store their inventory in our fulfilment centers (FCs)
• Sell their products on multiple sales channels (online marketplaces like Amazon, Flipkart, and their own website)
• Get their orders processed within a defined SLA
• Reconcile payments against the sales company combines infrastructure and dedicated experts to give brands: accountability, peace of mind, and control over the ecommerce journey.
The company is working on a remarkable concept for running an E-commerce business- starting from establishing an online presence for many enterprises. It offers a combination of products and services to create a comprehensive platform and manage all aspects of running a brand online, including the development of an exclusive web store, handling logistics, integrating all marketplaces and so on.
Who are we looking for?
We are looking for a skilled and passionate DevOps Engineer to join our Centre of Excellence to build and scale effective software solutions for our Ecommerce Domain.
Wondering what your Responsibilities would be?
• Building and setting up new development tools and infrastructure
• Provide full support to the software development teams to deploy, run and roll out new services and new capabilities in Cloud infrastructure
• Implement CI/CD and DevOps best practices for software application teams and assist in executing the integration and operation processes
• Build proactive monitoring and alerting infrastructure services to support operations and system health
• Be hands-on in developing prototypes and conducting Proof of Concepts
• Work in an agile, collaborative environment, partnering with other engineers to bring new solutions to the table
• Join the DevOps Chapter where you’ll have the opportunity to investigate and share information about technologies within the DevOps Engineering Community
What Makes you Eligible?
• Bachelor’s Degree or higher in Computer Science or Software Engineering with appropriate experience
• Minimum of 1 year of proven experience as DevOps Engineer
• Experience in working with a DevOps culture, following Agile Software Development methodologies of Scrum
• Proven experience in source code management tools like Bitbucket and Git
• Solid experience in CI/CD pipelines like Jenkins
• Shown ability with configuration management tools (e.g., Terraform, Ansible, Docker and Kubernetes) and repository tools like Artifactory
• Experience in Cloud architecture & provisioning
• Knowledge in Programming / Querying NoSQL databases
• Teamwork skills with a problem-solving attitude
What you will do
We are looking for an exceptional engineering lead to join our team. You will be responsible for building and owning the systems that would have critical impact for the business and the experience of our community from day one.
- Build and lead an agile engineering team
- Work closely with Founder on product development
- Collaborate with operations team to understand customer pain points and solve interesting problems
- Code, test, ship - manage the entire application cycle
- Build libraries and documentation for future references
- Research and develop best practices and tools to enable delivery of features
- Set up capabilities to track and report business and user metrics
- Design and improve architecture to ensure scalability
Requirements
- Proven experience at scaling tech companies, preferably in commerce or social network
- Keen to innovate, open-minded and collaborative
- Able to interpret product needs and suggest appropriate solutions
- Have led a team, also able to code hands-on
- Strong communication skills
- Strong work ethic: responsible, responsive, and detail-oriented.
Technologies we use
Go, Flutter, AWS, Google Cloud
Job Purpose and Impact
The DevOps Engineer is a key position to strengthen the security automation capabilities which have been identified as a critical area for growth and specialization within Global IT’s scope. As part of the Cyber Intelligence Operation’s DevOps Team, you will be helping shape our automation efforts by building, maintaining and supporting our security infrastructure.
Key Accountabilities
- Collaborate with internal and external partners to understand and evaluate business requirements.
- Implement modern engineering practices to ensure product quality.
- Provide designs, prototypes and implementations incorporating software engineering best practices, tools and monitoring according to industry standards.
- Write well-designed, testable and efficient code using full-stack engineering capability.
- Integrate software components into a fully functional software system.
- Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
- Proficiency in at least one configuration management or orchestration tool, such as Ansible.
- Experience with cloud monitoring and logging services.
Qualifications
Minimum Qualifications
- Bachelor's degree in a related field or equivalent exp
- Knowledge of public cloud services & application programming interfaces
- Working exp with continuous integration and delivery practices
Preferred Qualifications
- 3-5 years of relevant exp whether in IT, IS, or software development
- Exp in:
- Code repositories such as Git
- Scripting languages (Python & PowerShell)
- Using Windows, Linux, Unix, and mobile platforms within cloud services such as AWS
- Cloud infrastructure as a service (IaaS) / platform as a service (PaaS), microservices, Docker containers, Kubernetes, Terraform, Jenkins
- Databases such as Postgres, SQL, Elastic
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
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description :
- Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
- Extensive AWS/GCP Core Infrastructure skills
- Infrastructure/ IAC Automation, Integration - Terraform
- Kubernetes resources engineering and management
- Experience with DevOps tools, CICD pipelines and release management
- Good at creating documentation(runbooks, design documents, implementation plans )
Linux Experience :
- Namespace
- Virtualization
- Containers
Networking Experience
- Virtual networking
- Overlay networks
- Vxlans, GRE
Kubernetes Experience :
Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.
Observability
Experience in observability is a plus
Cloud automation :
Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.









