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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

We are looking for a highly skilled Linux-focused DevOps Engineer with strong troubleshooting capabilities. The ideal candidate must have hands-on experience in Linux systems, OpenStack, Kubernetes, and Ansible automation. This role requires deep debugging skills and structured root cause analysis.

Key Responsibilities

• Troubleshoot complex infrastructure and application issues through deep log analysis.

• Manage and optimize Linux-based production environments.

• Deploy and manage workloads in Kubernetes clusters.

• Provision and manage infrastructure using OpenStack.

• Automate configuration management using Ansible. • Diagnose networking issues including DNS, routing, and firewall configurations.

• Develop automation scripts using Bash or Python.

• Participate in production incident handling and RCA documentation. Required Skills & Experience

• Strong Linux internals knowledge (systemd, processes, memory, I/O). • Experience analyzing system logs (/var/log, journalctl, dmesg).

• Hands-on Kubernetes production troubleshooting.

• OpenStack VM provisioning and networking knowledge.

• Ansible playbook and role development experience.

• Strong scripting skills (Bash or Python).

Good to Have

• Terraform exposure. • Monitoring tools such as Prometheus, Grafana, ELK. • Experience in multi-tenant environments. • On-call production support experience.

  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

• Minimum 3+ yrs of Experience in DevOps with AWS Platform
•     • Strong AWS knowledge and experience
•     • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
•     • Experience with IAC tools  Terraform
•     • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
•     • Significant experience with Linux operating system environments
•     • Experience with infrastructure scripting solutions such as Python/Shell scripting
•     • Must have experience in designing Infrastructure automation framework.
•     • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
•     • Excellent problem-solving, Log Analysis and troubleshooting skills
•     • Experience in setting up centralized logging for system (EKS, EC2) and application
•     • Process-oriented with great documentation skills
•     • Ability to work effectively within a team and with minimal supervision

Role Overview:

As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.

Key Responsibilities:

• Design and manage scalable, secure, and highly available cloud infrastructure.
• Lead efforts in implementing and optimizing CI/CD pipelines.
• Automate repetitive tasks and develop robust monitoring solutions.
• Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
• Troubleshoot complex issues across development, staging, and production environments.
• Mentor and guide L1 engineers on best practices.
• Stay updated on emerging DevOps tools and technologies.
• Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
• Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
• Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
• Proficiency in scripting languages like Python, Bash, or PowerShell.
• Deep understanding of system security, networking, and load balancing.
• Strong analytical skills and problem-solving mindset.
• Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.

What We Offer:

• Opportunity to work with a cutting-edge tech stack in a product-first company.
• Collaborative and growth-oriented environment.
• Competitive salary and benefits.
• Freedom to innovate and contribute to impactful projects.

Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. 

They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.

• Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
• Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
• Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
• Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
• Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
• Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
• Ensuring security and compliance/DevSecOps: Managing code quality and security policies
• Troubleshooting issues: Investigating issues and responding to customer queries
• Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
• Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.

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

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