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DevOps Engineer
Relevance Lab's logo

DevOps Engineer

Mohith Yadukumar's profile picture
Posted by Mohith Yadukumar
5 - 16 yrs
₹10L - ₹45L / yr
Remote only
Skills
DevOps
skill iconKubernetes
Terraform
skill iconDocker
skill iconAmazon Web Services (AWS)
Ansible
Bash
skill iconPython
skill iconRuby
CI/CD
  • 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
  • Proficiency in scripting using Bash, Python, Ruby, Groovy, or similar languages 
  • Experience in source control management, specifically with Git
  • Hands-on experience in Unix/Linux and bash scripting
  • Experience building, managing Helm-based build and release CI-CD pipelines for Kubernetes platforms (EKS, Openshift, GKE) 
  • Strong experience with orchestration and config management tools such as Terraform, Ansible or Cloudformation  
  • Ability to debug, analyze issues leveraging tools like App Dynamics, New Relic and Sumologic 
  • Knowledge of Agile Methodologies and principles 
  • Good writing and documentation skills
  • Strong collaborator with the ability to work well with core teammates and our colleagues across STS
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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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About Relevance Lab

Founded :
2011
Type :
Services
Size :
100-1000
Stage :
Profitable

About

Relevance Lab is a specialist IT services company with re-usable technology assets in the area of DevOps, Cloud, Automation, Digital, Service Delivery and Supply Chain Analytics that help global organizations achieve frictionless business by transforming their traditional Infrastructure, Applications and Data. In the changing technology landscape and consumer preferences, Relevance Lab enables global organizations to adopt “asset lite” growth model by leveraging Cloud (IAAS, PAAS, SAAS) to shift Capex to Opex; Automation to improve efficiency and reduce costs; Build an end-to-end ecosystem connecting Digital Products to backend ERP platforms; Agile Analytics to provide real time business insights and improve customer experience. Relevance Lab has invested in a unique IP based DevOps product “RL Catalyst”. Incorporated in 2011 and headquartered in Singapore, Relevance Lab has specialized IT professionals across its offices spread across India, US and Canada.
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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.
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  • Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
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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.
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  • 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.
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4.     Network & Endpoint Security-

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5.     Threat Detection, Incident Response & Compliance-

  • Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
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  • 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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Experience: 5-7 years


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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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