DevOps Engineer

we are currently hiring for Junior DevOps Developer 

Can you pls check below Job Description for the post 

Job Description: Junior DevOps Developer (0.6 – 1.5 Years Experience)

Job Title: Junior DevOps Developer

Experience: 6 months to 1.5 years

Employment Type: Full-time

About the Role:

We are looking for a motivated Junior DevOps Developer to support our development and operations teams. You will assist in managing cloud infrastructure, improving deployment processes, and maintaining system reliability.

Key Responsibilities:

• Assist in managing and maintaining cloud infrastructure (AWS/GCP/Azure)
• Support CI/CD pipeline setup and maintenance
• Help automate deployment processes and routine tasks
• Monitor system performance and troubleshoot issues
• Assist in containerization using Docker and Kubernetes
• Perform root cause analysis for production issues
• Collaborate with developers to improve system performance and scalability
• Maintain documentation for infrastructure and processes
• cloud platform and infrastructure include hetzener

Required Skills:

• Basic understanding of DevOps concepts and workflows
• Knowledge of cloud platforms like AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Basic understanding of Infrastructure as Code tools (Terraform is a plus)
• Knowledge of Git and version control systems
• Basic scripting knowledge (Bash/Python preferred)

Good to Have:

• Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Understanding of monitoring tools (Grafana, Prometheus) 
• Understanding of monitoring tools (Grafana, Prometheus) 

You can contact me on this WhatsApp number: Nine three one six one two zero one three two

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

  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 Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

• Strong Systems Experience- Linux, networking, cloud, APIs
• Scripting language Programming - Shell, Python
• Strong Debugging Capability
• AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
• Knowledge on Terraform, Packer, Ansible, Jenkins
• Observability - Prometheus, InfluxDB, Dynatrace,
• Grafana, Splunk • DevSecOps-CI/CD - Jenkins
• Microservices
• Security & Access Management
• Container Orchestration a plus - Kubernetes, Docker etc.
• Big Data Platforms knowledge EMR, Databricks. Cloudera a plus

• Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
• Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
• Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
• Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
• Design and implement DevOps processes for new projects following the department's objectives of automation.
• Collaborate on projects with development teams to provide recommendations, support and guidance.
• Work towards full automation, monitoring, virtualization and containerization.
• Create and maintain tools for deployment, monitoring and operations.
• Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
• Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
• Maintain 24/7 availability for responsible systems and be open to on-call rotation.

Roles and Responsibilities

• 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus