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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

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.

Responsibilities:

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
• Monitor and optimize Azure environments to ensure high availability, performance, and security.
• Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
• Troubleshoot and resolve issues related to build, deployment, and infrastructure.
• Implement and manage version control systems, primarily using Git.
• Manage containerization and orchestration using tools like Docker and Kubernetes.
• Ensure compliance with industry standards and best practices for security, scalability, and reliability.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for backend, frontend, and mobile applications.
• Manage cloud infrastructure using AWS (EC2, Lambda, S3, VPC, RDS, CloudWatch, ECS/EKS).
• Configure and maintain Docker containers and/or Kubernetes clusters.
• Implement and maintain Infrastructure as Code (IaC) using Terraform / CloudFormation.
• Automate build, deployment, and monitoring processes.
• Manage code repositories using Git/GitHub/GitLab, enforce branching strategies.
• Implement monitoring and alerting using tools like Prometheus, Grafana, CloudWatch, ELK, Splunk.
• Ensure system scalability, reliability, and security.
• Troubleshoot production issues and perform root-cause analysis.
• Collaborate with engineering teams to improve deployment and development workflows.
• Optimize infrastructure costs and improve performance.

Required Skills & Qualifications

• 3+ years of experience in DevOps, SRE, or Cloud Engineering.
• Strong hands-on knowledge of AWS cloud services.
• Experience with Docker, containers, and orchestrators (ECS, EKS, Kubernetes).
• Strong understanding of CI/CD tools: GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline.
• Experience with Linux administration and shell scripting.
• Strong understanding of Networking, VPC, DNS, Load Balancers, Security Groups.
• Experience with monitoring/logging tools: CloudWatch, ELK, Prometheus, Grafana.
• Experience with Terraform or CloudFormation (IaC).
• Good understanding of Node.js or similar application deployments.
• Knowledge of NGINX/Apache and load balancing concepts.
• Strong problem-solving and communication skills.

Preferred/Good to Have

• Experience with Kubernetes (EKS).
• Experience with Serverless architectures (Lambda).
• Experience with Redis, MongoDB, RDS.
• Certification in AWS Solutions Architect / DevOps Engineer.
• Experience with security best practices, IAM policies, and DevSecOps.
• Understanding of cost optimization and cloud cost management.

About GradRight

Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all. Our mission is to drive transparency and accountability in the global higher education sector and create significant impact using the power of technology, data science and collaboration.

GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions in an integrated manner. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner.

In the last three years, we have enabled students to get the best deals on a $ 2.8+ Billion of loan requests and facilitated disbursements of more than $ 350+ Million in loans. GradRight won the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India & was among the top 7 global finalists in The PIEoneer awards, UK.

GradRight’s team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions. It is led by alumni of IIT Delhi, BITS Pilani, IIT Roorkee, ISB Hyderabad and University of Pennsylvania. GradRight is a Delaware, USA registered company with a wholly owned subsidiary in India. 

About the Role

We are looking for a passionate DevOps Engineer with hands-on experience in AWS cloud infrastructure, containerization, and orchestration. The ideal candidate will be responsible for building, automating, and maintaining scalable cloud solutions, ensuring smooth CI/CD pipelines, and supporting development and operations teams.

Core Responsibilities

Design, implement, and manage scalable, secure, and highly available infrastructure on AWS.

Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions.

Containerize applications using Docker and manage deployments with Kubernetes (EKS, self-managed, or other distributions).

Monitor system performance, availability, and security using tools like CloudWatch, Prometheus, Grafana, ELK/EFK stack.

Collaborate with development teams to optimize application performance and deployment processes.

Required Skills & Experience

3–4 years of professional experience as a DevOps Engineer or similar role.

Strong expertise in AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, EKS, etc.).

Hands-on experience with Docker and Kubernetes (EKS or self-hosted clusters).

Proficiency in CI/CD pipeline design and automation.

Experience with Infrastructure as Code (Terraform / AWS CloudFormation).

Solid understanding of Linux/Unix systems and shell scripting.

Knowledge of monitoring, logging, and alerting tools.

Familiarity with networking concepts (DNS, Load Balancing, Security Groups, Firewalls).

Basic programming/scripting experience in Python, Bash, or Go.

Nice to Have

Exposure to microservices architecture and service mesh (Istio/Linkerd).

Knowledge of serverless (AWS Lambda, API Gateway).

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. 

About Us -Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions.

Key Responsibilities

•        As a part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the CI/CD components.

•        Creating and managing build and release pipelines with Azure DevOps and Jenkins.

•        Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

•        Troubleshoot server performance issues & handle the continuous integration system.

•        Automate infrastructure provisioning using ARM Templates and Terraform.

•        Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

•        Diagnose and develop root cause solutions for failures and performance issues in the production environment.

•        Deploy and manage Infrastructure for production applications

•        Configure security best practices for application and infrastructure

Essential Requirements

•        Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

•        Strong knowledge of CI/CD principles.

•        Strong work experience with CI/CD implementation tools like Azure DevOps, Team city, Octopus Deploy, AWS Code Deploy, and Jenkins.

•        Experience of writing automation scripts with PowerShell, Bash, Python, etc.

•        GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

•        Understanding of secure DevOps practices

Good to Have -

•        Knowledge of scripting languages such as PowerShell, Bash

•        Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

•        Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

•        Strong communication skills and ability to explain protocol and processes with team and management.

•        Must be able to handle multiple tasks and adapt to a constantly changing environment.

•        Must have a good understanding of SDLC.

•        Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

•        Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

•        Organized, flexible, and analytical ability to solve problems creatively.

DevOps Engineer

The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.

Job Description

• Explore about the newest innovations in scalable and distributed systems.
• Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
• Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
• Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
• Playing around with large clusters on different clouds to tune your jobs or to learn.
• Researching about new technologies, proving the concepts and planning how to integrate or update.
• Be part of discussions of other projects to learn or to help.

Responsibilities

• 2+years of experience as DevOps Engineer.
• You understand actual networking to Software defined networking.
• You like containers and open source orchestration system like Kubernetes, Mesos.
• Should have experience to secure system by creating robust access policy and network restrictions enforcement.
• Should have  knowledge about how applications work are very important to design distributed systems.
• Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
• You understand that provisioning a Virtual Machine is not DevOps.
• You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
• Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
• You check logs before screaming about error.
• Multiple Screens makes you more efficient.
• You are a doer who don’t say the word impossible.
• You understand the value of documentation of your work.
• You understand the Big Data ecosystem and how can you leverage cloud for it.
• You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs

Rules & Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment
• Should be able to work on 24 X 7 shifts for support of infrastructure.
• Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
• Manage the production deployment and deployment automation
• Implement process and quality improvements through task automation
• Institute infrastructure as code, security automation and automation or routine maintenance tasks
• Experience with containerization and orchestration tools like docker, Kubernetes
• Build, Deploy and Manage Kubernetes clusters thru automation
• Create and deliver knowledge sharing presentations and documentation for support teams
• Learning on the job and explore new technologies with little supervision
• Work effectively with onsite/offshore teams

Qualifications:

• Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
• Experience in designing, implementing, and maintaining all AWS infrastructure and services
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
• Hands-on technical expertise in Security Architecture, automation, integration, and deployment
• Familiarity with compliance & security standards across the enterprise IT landscape
• Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
• Solid understanding of AWS IAM Roles and Policies
• Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
• Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
• Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
• Experience in managing and working with the offshore teams
• Familiarity with CI/CD systems such as Jenkins, GitLab CI
• Scripting experience (Python, Bash, etc.)
• AWS, Kubernetes Certification is preferred
• Ability to work with and influence Engineering teams