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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

Role Overview:

As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.

Key Responsibilities:

• Design and manage scalable, secure, and highly available cloud infrastructure.
• Lead efforts in implementing and optimizing CI/CD pipelines.
• Automate repetitive tasks and develop robust monitoring solutions.
• Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
• Troubleshoot complex issues across development, staging, and production environments.
• Mentor and guide L1 engineers on best practices.
• Stay updated on emerging DevOps tools and technologies.
• Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
• Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
• Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
• Proficiency in scripting languages like Python, Bash, or PowerShell.
• Deep understanding of system security, networking, and load balancing.
• Strong analytical skills and problem-solving mindset.
• Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.

What We Offer:

• Opportunity to work with a cutting-edge tech stack in a product-first company.
• Collaborative and growth-oriented environment.
• Competitive salary and benefits.
• Freedom to innovate and contribute to impactful projects.

About the Role

We are looking for a DevOps Engineer to build and maintain scalable, secure, and high-

performance infrastructure for our next-generation healthcare platform. You will be

responsible for automation, CI/CD pipelines, cloud infrastructure, and system reliability,

ensuring seamless deployment and operations.

Responsibilities

1. Infrastructure & Cloud Management

• Design, deploy, and manage cloud-based infrastructure (AWS, Azure, GCP)

• Implement containerization (Docker, Kubernetes) and microservices orchestration

• Optimize infrastructure cost, scalability, and performance

2. CI/CD & Automation

• Build and maintain CI/CD pipelines for automated deployments

• Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation

• Implement GitOps practices for streamlined deployments

3. Security & Compliance

• Ensure adherence to ABDM, HIPAA, GDPR, and healthcare security standards

• Implement role-based access controls, encryption, and network security best

practices

• Conduct Vulnerability Assessment & Penetration Testing (VAPT) and compliance

audits

4. Monitoring & Incident Management

• Set up monitoring, logging, and alerting systems (Prometheus, Grafana, ELK,

Datadog, etc.)

• Optimize system reliability and automate incident response mechanisms

• Improve MTTR (Mean Time to Recovery) and system uptime KPIs

5. Collaboration & Process Improvement

• Work closely with development and QA teams to streamline deployments

• Improve DevSecOps practices and cloud security policies

• Participate in architecture discussions and performance tuning

Required Skills & Qualifications

• 2+ years of experience in DevOps, cloud infrastructure, and automation

• Hands-on experience with AWS and Kubernetes

• Proficiency in Docker and CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.)

• Experience with Terraform, Ansible, or CloudFormation

• Strong knowledge of Linux, shell scripting, and networking

• Experience with cloud security, monitoring, and logging solutions

Nice to Have

• Experience in healthcare or other regulated industries

• Familiarity with serverless architectures and AI-driven infrastructure automation

• Knowledge of big data pipelines and analytics workflows

What You'll Gain

• Opportunity to build and scale a mission-critical healthcare infrastructure

• Work in a fast-paced startup environment with cutting-edge technologies

• Growth potential into Lead DevOps Engineer or Cloud Architect roles

Role : Senior Engineer Infrastructure

Key Responsibilities:

● Infrastructure Development and Management: Design, implement, and manage robust and scalable infrastructure solutions, ensuring optimal performance,security, and availability. Lead transition and migration projects, moving legacy systemsto cloud-based solutions.

● Develop and maintain applications and services using Golang.

● Automation and Optimization: Implement automation tools and frameworksto optimize operational processes. Monitorsystem performance, optimizing and modifying systems as necessary.

● Security and Compliance: Ensure infrastructure security by implementing industry best practices and compliance requirements. Respond to and mitigate security incidents and vulnerabilities.

Qualifications:

● Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

● Good understanding of prominent backend languageslike Golang, Python, Node.js, or others.

● In-depth knowledge of network architecture,system security, infrastructure scalability.

● Proficiency with development tools,server management, and database systems.

● Strong experience with cloud services(AWS.), deployment,scaling, and management.

● Knowledge of Azure is a plus

● Familiarity with containers and orchestration services,such as Docker, Kubernetes, etc.

● Strong problem-solving skills and analytical thinking.

● Excellent verbal and written communication skills.

● Ability to thrive in a collaborative team environment.

● Genuine passion for backend development and keen interest in scalable systems. 

Description

Do you dream about code every night? If so, we’d love to talk to you about a new product that we’re making to enable delightful testing experiences at scale for development teams who build modern software solutions.

What You'll Do

 Troubleshooting and analyzing technical issues raised by internal and external users.

 Working with Monitoring tools like Prometheus / Nagios / Zabbix.

 Developing automation in one or more technologies such as Terraform, Ansible, Cloud Formation, Puppet, Chef will be preferred.

 Monitor infrastructure alerts and take proactive action to avoid downtime and customer impacts.

 Working closely with the cross-functional teams to resolve issues.

 Test, build, design, deployment, and ability to maintain continuous integration and continuous delivery process using tools like Jenkins, maven Git, etc.

 Work in close coordination with the development and operations team such that the application is in line with performance according to the customer's expectations.

What you should have

 Bachelor’s or Master’s degree in computer science or any related field.

 3 - 6 years of experience in Linux / Unix, cloud computing techniques.

 Familiar with working on cloud and datacenter for enterprise customers.

 Hands-on experience on Linux / Windows / Mac OS’s and Batch/Apple/Bash scripting.

 Experience with various databases such as MongoDB, PostgreSQL, MySQL, MSSQL.

 Familiar with AWS technologies like EC2, S3, Lambda, IAM, etc.

 Must know how to choose the best tools and technologies which best fit the business needs.

 Experience in developing and maintaining CI/CD processes using tools like Git, GitHub, Jenkins etc.

 Excellent organizational skills to adapt to a constantly changing technical environment

The candidate must have 2-3 years of experience in the domain. The responsibilities include:

● Deploying system on Linux-based environment using Docker

● Manage & maintain the production environment

● Deploy updates and fixes

● Provide Level 1 technical support

● Build tools to reduce occurrences of errors and improve customer experience

● Develop software to integrate with internal back-end systems

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

● Develop scripts to automate visualization

● Design procedures for system troubleshooting and maintenance

● Experience working on Linux-based infrastructure

● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)

● Configuration and managing databases such as Mongo

● Excellent troubleshooting

● Experience of working with AWS/Azure/GCP

● Working knowledge of various tools, open-source technologies, and cloud services

● Awareness of critical concepts in DevOps and Agile principles

● Experience of CI/CD Pipeline

What you need to have:

• Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
• Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
• Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
• Experience with microservices and/or event-driven architecture.
• Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
• Strong practical Windows and Linux system administration skills in the cloud.
• Understanding of DNS, NFS, TCP/IP and other protocols.
• Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
• Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
• Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
• Exposure to programming languages like JAVA, PHP, SQL is a plus.
• AWS Developer or AWS SysOps Administrator certification is a plus.
• AWS Solutions Architect Certification experience is a plus.
• Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.