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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

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.

1. Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
2. Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
3. Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
4. 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.

Role - IT Cloud Engineer/ Devops

• Proficient in Linux.
• Hands on experience with AWS cloud or Google Cloud.
• Knowledge of container technology like Docker.
• Expertise in scripting languages. (Shell scripting or Python scripting)
• Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.

Job Description:

The incumbent would be responsible for:

• Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
• Server monitoring, analysis and troubleshooting.
• Deploying multi-tier architectures using microservices.
• Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
• Automating workflow with python or shell scripting.
• CI and CD integration for application lifecycle management.
• Hosting and managing websites on Linux machines.
• Frontend, backend and database optimization.
• Protecting operations by keeping information confidential.
• Providing information by collecting, analyzing, summarizing development & service issues.
• Prepares & installs solutions by determining and designing system specifications, standards & programming.

Required Skills: Advanced AWS Infrastructure Expertise, CI/CD Pipeline Automation, Monitoring, Observability & Incident Management, Security, Networking & Risk Management, Infrastructure as Code & Scripting

Criteria:

• 5+ years of DevOps/SRE experience in cloud-native, product-based companies (B2C scale preferred)
• Strong hands-on AWS expertise across core and advanced services (EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, VPC, IAM, ELB/ALB, Route53)
• Proven experience designing high-availability, fault-tolerant cloud architectures for large-scale traffic
• Strong experience building & maintaining CI/CD pipelines (Jenkins mandatory; GitHub Actions/GitLab CI a plus)
• Prior experience running production-grade microservices deployments and automated rollout strategies (Blue/Green, Canary)
• Hands-on experience with monitoring & observability tools (Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.)
• Solid hands-on experience with MongoDB in production, including performance tuning, indexing & replication
• Strong scripting skills (Bash, Shell, Python) for automation
• Hands-on experience with IaC (Terraform, CloudFormation, or Ansible)
• Deep understanding of networking fundamentals (VPC, subnets, routing, NAT, security groups)
• Strong experience in incident management, root cause analysis & production firefighting

Description

Role Overview

Company is seeking an experienced Senior DevOps Engineer to design, build, and optimize cloud infrastructure on AWS, automate CI/CD pipelines, implement monitoring and security frameworks, and proactively identify scalability challenges. This role requires someone who has hands-on experience running infrastructure at B2C product scale, ideally in media/OTT or high-traffic applications.

 Key Responsibilities

1. Cloud Infrastructure — AWS (Primary Focus)

• Architect, deploy, and manage scalable infrastructure using AWS services such as EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, ELB/ALB, VPC, IAM, Route53, etc.
• Optimize cloud cost, resource utilization, and performance across environments.
• Design high-availability, fault-tolerant systems for streaming workloads.

2. CI/CD Automation

• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Automate deployments for microservices, mobile apps, and backend APIs.
• Implement blue/green and canary deployments for seamless production rollouts.

3. Observability & Monitoring

• Implement logging, metrics, and alerting using tools like Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.
• Perform proactive performance analysis to minimize downtime and bottlenecks.
• Set up dashboards for real-time visibility into system health and user traffic spikes.

4. Security, Compliance & Risk Highlighting

• Conduct frequent risk assessments and identify vulnerabilities in:

  o Cloud architecture

  o Access policies (IAM)

  o Secrets & key management

  o Data flows & network exposure

• Implement security best practices including VPC isolation, WAF rules, firewall policies, and SSL/TLS management.

5. Scalability & Reliability Engineering

• Analyze traffic patterns for OTT-specific load variations (weekends, new releases, peak hours).
• Identify scalability gaps and propose solutions across:
•   o Microservices
•   o Caching layers
•   o CDN distribution (CloudFront)
•   o Database workloads
• Perform capacity planning and load testing to ensure readiness for 10x traffic growth.

6. Database & Storage Support

• Administer and optimize MongoDB for high-read/low-latency use cases.
• Design backup, recovery, and data replication strategies.
• Work closely with backend teams to tune query performance and indexing.

7. Automation & Infrastructure as Code

• Implement IaC using Terraform, CloudFormation, or Ansible.
• Automate repetitive infrastructure tasks to ensure consistency across environments.

Required Skills & Experience

Technical Must-Haves

• 5+ years of DevOps/SRE experience in cloud-native, product-based companies.
• Strong hands-on experience with AWS (core and advanced services).
• Expertise in Jenkins CI/CD pipelines.
• Solid background working with MongoDB in production environments.
• Good understanding of networking: VPCs, subnets, security groups, NAT, routing.
• Strong scripting experience (Bash, Python, Shell).
• Experience handling risk identification, root cause analysis, and incident management.

Nice to Have

• Experience with OTT, video streaming, media, or any content-heavy product environments.
• Familiarity with containers (Docker), orchestration (Kubernetes/EKS), and service mesh.
• Understanding of CDN, caching, and streaming pipelines.

Personality & Mindset

• Strong sense of ownership and urgency—DevOps is mission critical at OTT scale.
• Proactive problem solver with ability to think about long-term scalability.
• Comfortable working with cross-functional engineering teams.

Why Join company?

• Build and operate infrastructure powering millions of monthly users.

• Opportunity to shape DevOps culture and cloud architecture from the ground up.

• High-impact role in a fast-scaling Indian OTT product.

  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

As a DevOps Engineer, you’ll play a key role in managing our cloud infrastructure, automating deployments, and ensuring high availability across our global server network. You’ll work closely with our technical team to optimize performance and scalability.

Responsibilities

✅ Design, implement, and manage cloud infrastructure (primarily Azure)

✅ Automate deployments using CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)

✅ Monitor and optimize server performance & uptime (100% uptime goal)

✅ Work with cPanel-based hosting environments and ensure seamless operation

✅ Implement security best practices & compliance measures

✅ Troubleshoot system issues, scale infrastructure, and enhance reliability

Requirements

🔹 3-7 years of DevOps experience in cloud environments (Azure preferred)

🔹 Hands-on expertise in CI/CD tools (GitHub Actions, Jenkins, etc.)

🔹 Proficiency in Terraform, Ansible, Docker, Kubernetes

🔹 Strong knowledge of Linux system administration & networking

🔹 Experience with monitoring tools (Prometheus, Grafana, ELK, etc.)

🔹 Security-first mindset & automation-driven approach

Why Join Us?

🚀 Work at a fast-growing startup backed by Microsoft

💡 Lead high-impact DevOps projects in a cloud-native environment

🌍 Hybrid work model with flexibility in Bangalore, Delhi, or Mumbai

💰 Competitive salary ₹12-30 LPA based on experience

How to Apply?

📩 Apply now & follow us for future updates:

🔗 X (Twitter): https://x.com/CygenHost

🔗 LinkedIn: https://www.linkedin.com/company/cygen-host/

🔗 Instagram: https://www.instagram.com/cygenhost

Would you like any modifications before posting this? Or should I move on to the next role? 🚀

Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.

Qualifications BE/ B.Tech/ MCA in computer science

Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon