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Technical Consultant
Saas Based Tech Company
Technical Consultant
Saas Based Tech Company's logo

Technical Consultant

at Saas Based Tech Company

Agency job
via Merito
5 - 7 yrs
₹7L - ₹12L / yr
Delhi, Gurugram, Noida, Ghaziabad, Faridabad
Skills
Linux/Unix
Linux administration
skill iconAmazon Web Services (AWS)
Firewall
MySQL

What will you do?

  • Act as senior level escalation point for technical remediation of incidents and service requests.
  • Work as L2 resource in AWS Cloud infrastructure and system administration team providing technical support and resolving issues
  • Troubleshoot technical issues faced which could be related to external interfaces, networking, application and Ubuntu configuration, IIS Configuration, Linux Servers etc.
  • Resolving urgent and immediate requests by support team in a vibrant and demanding environment.
  • Test upgrades and patches from development team prior to client rollout
  • Document the Interface testing and other details, update and complete all handovers.
  • Coordinate directly with on-site IT, vendors, off-site helpdesks over email or phone calls to complete technical assignments.
  • Do audit of new implemented properties for initial few weeks and identify the repeated issues reported by property.

 

Technical Competencies you’ll possess:

 

  • Strong Linux and Windows Administration skills
  • In depth knowledge of the windows servers & Linux servers.
  • Good understanding of AWS Cloud Infrastructure, Networking, Firewall, Infrastructure, SQL and IIS Configuration, Ubuntu Configurations and MySQL.
  • Working knowledge of interfaces and integrations of systems.
  • Enhanced troubleshooting skills.
  • Possess a good understanding of Internet based technologies including DNS, Security, IP Routing,- SSH, FTP, HTTP/HTTPS, Email Routing, etc.

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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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
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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