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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

Global Digital Transformation Solutions Provider
JOB DETAILS:
* Job Title: Specialist I - DevOps Engineering
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 7-10 years
* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram
Job Description
Job Summary:
As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.
The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.
Key Responsibilities:
- Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
- Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
- Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
- Define migration scope — determine how much history to migrate and plan the repository structure.
- Manage branch renaming and repository organization for optimized post-migration workflows.
- Collaborate with development teams to determine migration points and finalize migration strategies.
- Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.
Required Qualifications:
- Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
- Hands-on experience with P4-Fusion.
- Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
- Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
- Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
- Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
- Familiarity with CI/CD pipeline integration to validate workflows post-migration.
- Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
- Excellent communication and collaboration skills for cross-team coordination and migration planning.
- Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.
Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools
Must-Haves
Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)
DevOps Engineer (Cloud & Infrastructure)
📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
- Full-Stack AI Agents: Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage: Supports web, mobile, and enterprise applications.
- Real-World Testing: Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
- Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
- Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.
Job Description:
We are looking to recruit engineers with zeal to learn cloud solutions using Amazon Web Services (AWS). We\'ll prefer an engineer who is passionate about AWS Cloud technology, passionate about helping customers succeed, passionate about quality and truly enjoys what they do. The qualified candidate for AWS Cloud Engineer position is someone who has a can-do attitude and is an innovative thinker.
- Be a hands on with responsibilities for the installation, configuration, and ongoing management of Linux based solutions on AWS for our clients.
- Responsible for creating and managing Autoscaling EC2 instances using VPCs, Elastic Load Balancers, and other services across multiple availability zones to build resilient, scalable and failsafe cloud solutions.
- Familiarity with other AWS services such as CloudFront, ALB, EC2, RDS, Route 53 etc. desirable.
- Working Knowledge of RDS, Dynamo DB, Guard Duty, WAF, Multi tier architecture.
- Proficient in working on Git, CI CD Pipelined, AWS Devops, Git, Bit Bucket, Ansible.
- Proficient in working on Docker Engine, Containers, Kubernetes .
- Expertise in Migration workload to AWS from different cloud providers
- Should be versatile in problem solving and resolve complex issues ranging from OS and application faults to creatively improving solution design
- Should be ready to work in rotation on a 24x7 schedule, and be available on call at other times due to the critical nature of the role
- Fault finding, analysis and of logging information for reporting of performance exceptions
- Deployment, automation, management, and maintenance of AWS cloud-based production system.
- Ensuring availability, performance, security, and scalability of AWS production systems.
- Management of creation, release, and configuration of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Pre-production acceptance testing for quality assurance.
- Provision of critical system security by leveraging best practices and prolific cloud security solutions.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
- Designing, maintenance and management of tools for automation of different operational processes.
Desired Candidate Profile
o Customer oriented personality with good communication skills, who is able to articulate and communicate very effectively verbally as well as in written communications.
o Be a team player that collaborates and shares experience and expertise with the rest of the team.
o Understands database system such as MSSQL, Mongo DB, MySQL, MariaDB, Dynamo DB, RDS.
o Understands Web Servers such as Apache, Ningx.
o Must be RHEL certified.
o In depth knowledge of Linux Commands and Services.
o Efficiency enough to manage all internet applications inclusive FTP, SFTP, Ningx Apache, MySQL, PHP.
o Good communication skill.
o Atleast 3-7 Years of experience in AWS and Devops.
Company Profile:
i2k2 Networks is a trusted name in the IT cloud hosting services industry. We help enterprises with cloud migration, cost optimization, support, and fully managed services which helps them to move faster and scale with lower IT costs. i2k2 Networks offers a complete range of cutting-edge solution that drives the Internet-powered business modules. We excel in:
- Managed IT Services
- Dedicated Web Servers Hosting
- Cloud Solutions
- Email Solutions
- Enterprise Services
- Round the clock Technical Support
https://www.i2k2.com/">https://www.i2k2.com/
Regards
Nidhi Kohli
i2k2 Networks Pvt Ltd.
AM - Talent Acquisition
DevOps Engineer
Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.
Responsibilities
- 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
- Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
- Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
- Experience with middle-layer technologies including web servers (httpd, ningx),
application servers (Jboss, Tomcat) and database systems (postgres, mysql)
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
- Experience supporting on-premise solutions as well as on AWS cloud
- Experience working with and supporting Spark-based applications on YARN
- Experience with one or more automation tools such as Ansible, Terraform, etc
- Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
- Experience defining and automating the build, versioning and release processes for complex enterprise products
- Experience supporting clients remotely and on-site
- Experience working with and supporting Java- and Python-based tech stacks would be a Plus
DevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
- Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
- Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
- Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
- Experience with microservices and/or event-driven architecture.
- Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
- Strong practical Windows and Linux system administration skills in the cloud.
- Understanding of DNS, NFS, TCP/IP and other protocols.
- Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
- Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
- Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
- Exposure to programming languages like JAVA, PHP, SQL is a plus.
- AWS Developer or AWS SysOps Administrator certification is a plus.
- AWS Solutions Architect Certification experience is a plus.
- Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.

Hiring for one of the product based org for PAN India
Skills required:
Strong knowledge and experience of cloud infrastructure (AWS, Azure or GCP), systems, network design, and cloud migration projects.
Strong knowledge and understanding of CI/CD processes tools (Jenkins/Azure DevOps) is a must.
Strong knowledge and understanding of Docker & Kubernetes is a must.
Strong knowledge of Python, along with one more language (Shell, Groovy, or Java).
Strong prior experience using automation tools like Ansible, Terraform.
Architect systems, infrastructure & platforms using Cloud Services.
Strong communication skills. Should have demonstrated the ability to collaborate across teams and organizations.
Benefits of working with OpsTree Solutions:
Opportunity to work on the latest cutting edge tools/technologies in DevOps
Knowledge focused work culture
Collaboration with very enthusiastic DevOps experts
High growth trajectory
Opportunity to work with big shots in the IT industry
Exposure to development and implementation practices in a modern systems environment together with exposure to working in a project team particularly with reference to industry methodologies, e.g. Agile, continuous delivery, etc
- At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Experience using DevOps methodology and Infrastructure as Code
- Automation / CI/CD tools – Bitbucket Pipelines, Jenkins
- Infrastructure as code – Terraform, Cloudformation, etc
- Strong experience deploying and managing infrastructure with Terraform
- Automated provisioning and configuration management – Ansible, Chef, Puppet
- Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS
- Improve CI/CD processes, support software builds and CI/CD of the development departments
- Develop, maintain, and optimize automated deployment code for development, test, staging and production environments
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
- Ensure limited system failure and increase up-time and availability of the various company apps.
- Understand the current application infrastructure and strive for making it better.
- Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
- Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
- Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
- Set up a monitoring stack.
- Implement the application’s CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
- Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
- Manage a continuous integration/continuous deployment methodology for the server-based technologies.
- Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
- Support internal and external customers on multiple platforms.
- First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
- Learn on the job and explore new technologies with little supervision.
- In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.
Skills:
- Experience with the core AWS services, plus the specifics mentioned in this job description.
- Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
- Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
- Ability to troubleshoot distributed systems.
- Experience with. AWS EKS Kubernetes infrastructure setup.
- Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
- Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
- Security aware and ensures that all systems are security standards-compliant.
- Good background in Linux/Unix administration.
- Experience with building or maintaining cloud-native applications.
- Minimum 3-5 years of cloud development experience, preferably AWS
- Experience with CI/CD tools like Jenkins preferred.
- Good analytical and communication skills
- Bachelor’s Degree in Computer Science, Engineering or a related technical discipline


