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Amazon VPC Jobs in Delhi, NCR and Gurgaon

4+ Amazon VPC Jobs in Delhi, NCR and Gurgaon | Amazon VPC Job openings in Delhi, NCR and Gurgaon

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Media and Entertainment Industry

Media and Entertainment Industry

Agency job
via Peak Hire Solutions by Dhara Thakkar
Noida
5 - 7 yrs
₹15L - ₹25L / yr
DevOps
skill iconAmazon Web Services (AWS)
CI/CD
Infrastructure
Scripting
+28 more

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.

Read more
AdTech Industry

AdTech Industry

Agency job
via Peak Hire Solutions by Dhara Thakkar
Noida
8 - 12 yrs
₹50L - ₹75L / yr
Ansible
Terraform
skill iconAmazon Web Services (AWS)
Platform as a Service (PaaS)
CI/CD
+30 more

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
Read more
AdTech Industry

AdTech Industry

Agency job
via Peak Hire Solutions by Dhara Thakkar
Noida
8 - 12 yrs
₹30L - ₹40L / yr
DevOps
skill iconDocker
CI/CD
skill iconAmazon Web Services (AWS)
AWS CloudFormation
+22 more

ROLES AND RESPONSIBILITIES:

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.


KEY RESPONSIBILITIES:

Cloud & Infrastructure as Code (IaC)-

  • Architect and manage AWS environments ensuring scalability, security, and high availability.
  • Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
  • Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.


CI/CD & Automation:

  • Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
  • Automate deployments, provisioning, and monitoring across environments.


Containers & Orchestration:

  • Deploy and operate workloads on Docker and Kubernetes (EKS).
  • Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
  • Optimize performance of containerized and microservices applications.


Monitoring & Reliability:

  • Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
  • Establish logging, alerting, and proactive monitoring for high availability.


Security & Compliance:

  • Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
  • Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
  • Configure VPNs, firewalls, and secure access policies and AWS organizations.


Databases & Analytics:

  • Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
  • Manage data reliability, performance tuning, and cloud-native integrations.
  • Experience with Apache Airflow and Spark.


IDEAL CANDIDATE:

  • 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
  • Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
  • Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
  • Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
  • Proven ability with CI/CD pipeline automation and DevSecOps practices.
  • Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
  • Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
  • Strong scripting skills (Shell/bash, Python, or similar) for automation.
  • Bachelor / Master’s degree
  • Effective communication skills


PERKS, BENEFITS AND WORK CULTURE:

  • Competitive Salary Package
  • Generous Leave Policy
  • Flexible Working Hours
  • Performance-Based Bonuses
  • Health Care Benefits
Read more
Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Pune, Hyderabad, Ahmedabad, Chennai
3 - 7 yrs
₹8L - ₹15L / yr
AWS Lambda
Amazon S3
Amazon VPC
Amazon EC2
Amazon Redshift
+3 more

Technical Skills:


  • Ability to understand and translate business requirements into design.
  • Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
  • Experience in creating ETL jobs using Python/PySpark.
  • Proficiency in creating AWS Lambda functions for event-based jobs.
  • Knowledge of automating ETL processes using AWS Step Functions.
  • Competence in building data warehouses and loading data into them.


Responsibilities:


  • Understand business requirements and translate them into design.
  • Assess AWS infrastructure needs for development work.
  • Develop ETL jobs using Python/PySpark to meet requirements.
  • Implement AWS Lambda for event-based tasks.
  • Automate ETL processes using AWS Step Functions.
  • Build data warehouses and manage data loading.
  • Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
Read more
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