
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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What We’re Looking For (Must-Have Skills)
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➕ AWS Certifications: Solutions Architect, DevOps Engineer, Security, Networking
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· Expert in Cloud Services like AWS.
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· Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.
· Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)
What you will do:
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- Logging, metrics and alerting management
- Creating Docker files
- Performing root cause analysis for production errors
What you need to have:
- 12+ years of experience in Software Development/ QA/ Software Deployment with 5+ years of experience in managing high performing teams
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- Good knowledge in Java, Node.js
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- Proficiency of Cloud Infrastructure like Dockers, Kubernetes
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- Sound understanding in areas of Computer Science such as algorithms, data structures, object oriented design, databases
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Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Our Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform.
Role Description
We are looking for a DevOps Engineer responsible for managing cloud technologies, deployment
automation and CI /CD
Key Responsibilities
Building and setting up new development tools and infrastructure
Understanding the needs of stakeholders and conveying this to developers
Working on ways to automate and improve development and release processes
Testing and examining code written by others and analyzing results
Ensuring that systems are safe and secure against cybersecurity threats
Identifying technical problems and developing software updates and ‘fixes’
Working with software developers and software engineers to ensure that development
follows established processes and works as intended
Planning out projects and being involved in project management decisions
Required Skills and Qualifications
BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
4+ years of overall development experience.
Strong understanding of cloud deployment and setup.
Hands-on experience with tools like Jenkins, Gradle etc.
Deploy updates and fixes.
Provide Level 2 technical support.
Build tools to reduce occurrences of errors and improve customer experience.
Perform root cause analysis for production errors.
Investigate and resolve technical issues.
Develop scripts to automate deployment.
Design procedures for system troubleshooting and maintenance.
Proficient with git and git workflows.
Working knowledge of databases and SQL.
Problem-solving attitude.
Collaborative team spirit
Regards
Team Merito
- As a DevOps Engineer, you need to have strong experience in CI/CD pipelines.
- Setup development, testing, automation tools, and IT infrastructure
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- Deploy and maintain CI/CD pipelines across multiple environments (Mobile, Web API’s & AIML)
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- 3+ years of experience as DevOps Engineer and strong working knowledge in CI/CD pipelines
- Experience administering and deploying development CI/CD using Git, BitBucket, CodeCommit, Jira, Jenkins, Maven, Gradle, etc
- Strong knowledge in Linux-based infrastructures and AWS/Azure/GCP environment
- Working knowledge on AWS (IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, etc)
- Experience with Docker containerization and clustering (Kubernetes/ECS)
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- Knowledge of scripting languages such as Python, Shell, Groovy, Bash, etc
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Required Qualifications:
- 2 - 3 years relevant work experience in Jenkins / Scripting / C / Linux
- Expertise in scripting languages like a shell, python, etc
- Work experience in handling Make/CMake build systems
- Expertise in GIT source revision control
- Experience with Yocto build systems and recipes
- Have 3+ years of experience in Python development
- Be familiar with common database access patterns
- Have experience with designing systems and monitoring metrics, looking at graphs.
- Have knowledge of AWS, Kubernetes and Docker.
- Be able to work well in a remote development environment.
- Be able to communicate in English at a native speaking and writing level.
- Be responsible to your fellow remote team members.
- Be highly communicative and go out of your way to contribute to the team and help others
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- Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
- Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
- Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
- Participating in on-call escalation to troubleshoot customer-facing issues
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- Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.
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- Organizing tech talks and participating in meetups and representing Box8 at industry events.
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- Ruby On Rails or Python and Bash/Shell skills.
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- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
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- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.








