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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

We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.

This is a high-ownership role with real impact on uptime, performance, and developer velocity.

Key Responsibilities

Infrastructure & Cloud Management

• Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
• Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
• Ensure high availability, fault tolerance, and scalability

CI/CD & Deployment

• Build and maintain CI/CD pipelines for backend and AI services
• Automate deployments, rollbacks, and environment management (dev, staging, prod)
• Improve release reliability and deployment speed

Monitoring, Reliability & Security

• Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
• Proactively identify and resolve performance bottlenecks and incidents
• Implement security best practices: IAM, secrets management, backups, and access controls

Cost Optimisation & Performance

• Monitor and optimise cloud costs (compute, databases, storage)
• Implement autoscaling, right-sizing, and resource optimisation
• Work with engineering teams to balance performance with cost efficiency

Required Qualifications & Skills

• 3–6 years of hands-on DevOps / Cloud Engineering experience
• Strong experience with GCP (or AWS with willingness to transition)
• Experience with Docker, Kubernetes, and containerised workloads
• Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
• Ability to troubleshoot production issues under pressure
• Experience with AI/ML workloads and GPU-based deployments

We are looking for a skilled DevOps Engineer with hands-on experience in cloud platforms, CI/CD pipelines, container orchestration, and infrastructure automation. The ideal candidate is someone who loves solving reliability challenges, automating everything, and ensuring seamless delivery across environments.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using GitHub Actions, Jenkins, and GitHub.
• Manage and optimize infrastructure on AWS/GCP, ensuring scalability, security, and high availability.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Build, automate, and manage infrastructure as code using Terraform.
• Configure and manage automation tools and workflows using Ansible.
• Monitor system performance, troubleshoot production issues, and ensure smooth operations.
• Implement best practices for code management, release processes, and DevOps standards.
• Collaborate closely with development teams to improve build pipelines and deployment workflows.
• Write scripts in Python/Bash to automate operational tasks.

Required Skills & Experience

• 2+ years of hands-on experience as a DevOps Engineer or in a similar role.
• Strong expertise in AWS or GCP cloud services.
• Solid understanding of Kubernetes (deployment, scaling, service mesh, packaging).
• Proficiency with Terraform for infrastructure automation.
• Experience with Git, GitHub, and GitHub Actions for source control and CI/CD.
• Good knowledge of Jenkins pipelines and automation.
• Hands-on experience with Ansible for configuration management.
• Strong scripting skills using Python or Bash.
• Understanding of monitoring, logging, and security best practices.

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).

DevOps Engineer

Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.

Responsibilities

• 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
• Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
• Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
• Experience with middle-layer technologies including web servers (httpd, ningx),

application servers (Jboss, Tomcat) and database systems (postgres, mysql)

• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
• Experience supporting on-premise solutions as well as on AWS cloud
• Experience working with and supporting Spark-based applications on YARN
• Experience with one or more automation tools such as Ansible, Terraform, etc
• Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Experience supporting clients remotely and on-site
• Experience working with and supporting Java- and Python-based tech stacks would be a Plus

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. 

Position Summary

DevOps is a Department of Horizontal Digital, within which we have 3 different practices.

1. Cloud Engineering
2. Build and Release
3. Managed Services

This opportunity is for Cloud Engineering role who also have some experience with Infrastructure migrations, this will be a complete hands-on job, with focus on migrating clients workloads to the cloud, reporting to the Solution Architect/Team Lead and along with that you are also expected to work on different projects for building out the Sitecore Infrastructure from scratch.

We are Sitecore Platinum Partner and majority of the Infrastructure work that we are doing is for Sitecore.

Sitecore is a .Net Based Enterprise level Web CMS, which can be deployed on On-Prem, IaaS, PaaS and Containers.

So, most of our DevOps work is currently planning, architecting and deploying infrastructure for Sitecore.
 

Key Responsibilities:

• This role includes ownership of technical, commercial and service elements related to cloud migration and Infrastructure deployments.
• Person who will be selected for this position will ensure high customer satisfaction delivering Infra and migration projects.
• Candidate must expect to work in parallel across multiple projects, along with that candidate must also have a fully flexible approach to working hours.
• Candidate should keep him/herself updated with the rapid technological advancements and developments that are taking place in the industry.
• Along with that candidate should also have a know-how on Infrastructure as a code, Kubernetes, AKS/EKS, Terraform, Azure DevOps, CI/CD Pipelines.

Requirements:

• Bachelor’s degree in computer science or equivalent qualification.
• Total work experience of 6 to 8 Years.
• Total migration experience of 4 to 6 Years.
• Multiple Cloud Background (Azure/AWS/GCP)
• Implementation knowledge of VMs, Vnet,
• Know-how of Cloud Readiness and Assessment
• Good Understanding of 6 R's of Migration.
• Detailed understanding of the cloud offerings
• Ability to Assess and perform discovery independently for any cloud migration.
• Working Exp. on Containers and Kubernetes.
• Good Knowledge of Azure Site Recovery/Azure Migrate/Cloud Endure
• Understanding on vSphere and Hyper-V Virtualization.
• Working experience with Active Directory.
• Working experience with AWS Cloud formation/Terraform templates.
• Working Experience of VPN/Express route/peering/Network Security Groups/Route Table/NAT Gateway, etc.
• Experience of working with CI/CD tools like Octopus, Teamcity, Code Build, Code Deploy, Azure DevOps, GitHub action.
• High Availability and Disaster Recovery Implementations, taking into the consideration of RTO and RPO aspects.
• Candidates with AWS/Azure/GCP Certifications will be preferred.

What you do :

• Developing automation for the various deployments core to our business
• Documenting run books for various processes / improving knowledge bases
• Identifying technical issues, communicating and recommending solutions
• Miscellaneous support (user account, VPN, network, etc)
• Develop continuous integration / deployment strategies
• Production systems deployment/monitoring/optimization

• Management of staging/development environments

What you know :

• Ability to work with a wide variety of open source technologies and tools
• Ability to code/script (Python, Ruby, Bash)
• Experience with systems and IT operations
• Comfortable with frequent incremental code testing and deployment
• Strong grasp of automation tools (Chef, Packer, Ansible, or others)
• Experience with cloud infrastructure and bare-metal systems
• Experience optimizing infrastructure for high availability and low latencies
• Experience with instrumenting systems for monitoring and reporting purposes
• Well versed in software configuration management systems (git, others)
• Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment

• Data management skills

Education :

• Degree in Computer Engineering or Computer Science
• 1-3 years of equivalent experience in DevOps roles.
• Work conducted is focused on business outcomes
• Can work in an environment with a high level of autonomy (at the individual and team level)

• Comfortable working in an open, collaborative environment, reaching across functional.

Our Offering :

• True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.

• The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.

Perks :

• Awesome benefits, social gatherings, etc.
• Work with intelligent, fun and interesting people in a dynamic start-up environment.

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Ensure limited system failure and increase up-time and availability of the various company apps.
• Understand the current application infrastructure and strive for making it better.
• Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
• Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
• Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
• Set up a monitoring stack.
• Implement the application’s CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
• Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
• Manage a continuous integration/continuous deployment methodology for the server-based technologies.
• Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
• Support internal and external customers on multiple platforms.
• First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Learn on the job and explore new technologies with little supervision.
• In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.

Skills:

• Experience with the core AWS services, plus the specifics mentioned in this job description.
• Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
• Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
• Ability to troubleshoot distributed systems.
• Experience with. AWS EKS Kubernetes infrastructure setup.
• Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
• Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
• Security aware and ensures that all systems are security standards-compliant.
• Good background in Linux/Unix administration.
• Experience with building or maintaining cloud-native applications.
• Minimum 3-5 years of cloud development experience, preferably AWS
• Experience with CI/CD tools like Jenkins preferred.
• Good analytical and communication skills
• Bachelor’s Degree in Computer Science, Engineering or a related technical discipline