
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).

About GradRight
About
Gradright is an ed-fin start-up aiming to foster accountability and create a long-lasting impact in global higher education using the power of technology, data science and collaboration. Our mission is to aid a million students in making rational and informed decisions about their universities and finances by 2025 and help them in pursuing their passion without unnecessary financial burden.
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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
we’d love to speak with you. Skills and Qualifications:
Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.
Proficiency in scripting languages such as Python, Bash, or Ruby.
Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.
Experience with version control systems such as Git.
Familiarity with Agile methodologies and practices.
Understanding of networking concepts and principles.
Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.
Good understanding of security and data protection principles.
Roles and responsibilities:
● Building and setting up new development tools and infrastructure
● Working on ways to automate and improve development and release processes
● Deploy updates and fixes
● Helping to ensure information security best practices
● Provide Level 2 technical support
● Perform root cause analysis for production errors
● Investigate and resolve technical issues
Please Apply - https://zrec.in/L51Qf?source=CareerSite
About Us
Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.
Job Description
Job Title: Senior DevOps Engineer (Infrastructure/SRE)
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 4-6 years
Education: B.Tech/MCA
Notice Period: Immediately
About Us
At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for cloud, infrastructure, DevOps, and security. We partner with clients to transform and optimize their technology landscape, ensuring resilience, scalability, cost efficiency and innovation.
Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.
We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.
Role Summary
We are looking for a Senior DevOps Engineer (Infrastructure) to design, automate, and manage cloud-based and datacentre infrastructure for diverse projects. The ideal candidate will have deep expertise in a public cloud platform (AWS, GCP, or Azure), with a strong focus on cost optimization, security best practices, and infrastructure automation using tools like Terraform and CI/CD pipelines.
This role involves designing scalable architectures (containers, serverless, and VMs), managing databases, and ensuring system observability with tools like Prometheus and Grafana. Strong leadership, client communication, and team mentoring skills are essential. Experience with VPN technologies and configuration management tools (Ansible, Helm) is also critical. Multi-cloud experience and familiarity with APM tools are a plus.
Ideal Candidate Profile
- Solid 4-6 years of experience as a DevOps engineer with a proven track record of architecting and automating solutions on Cloud
- Experience in troubleshooting production incidents and handling high-pressure situations.
- Strong leadership skills and the ability to mentor team members and provide guidance on best practices.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Extensive experience with Kubernetes, Terraform, ArgoCD, and Helm.
- Strong with at least one public cloud AWS/GCP/Azure
- Strong with Cost Optimization and Security Best practices
- Strong with Infrastructure automation using Terraform and CI/CD automation
- Strong with Configuration Management using Ansible, Helm etc
- Good with designing architectures (Containers, Serverless, VMs etc)
- Hands-on Experience working on Multiple Projects
- Strong with Client communication and requirements gathering
- Databases management experience
- Good experience with Prometheus, Grafana & Alert Manager
- Able to manage multiple clients and take ownership of client issues.
- Experience with Git and coding best practices
- Proficiency in cloud networking, including VPCs, DNS, VPNs (OpenVPN, OpenSwan, Pritunl, Site-to-Site VPNs), load balancers, and firewalls, ensuring secure and efficient connectivity.
- Strong understanding of cloud security best practices, identity and access management (IAM), and compliance requirements for modern infrastructure.
Good to have
- Multi-cloud experience with AWS, GCP & Azure
- Experience with APM & Observability tools like - Newrelic, Datadog, and OpenTelemetry
- Proficiency in scripting languages (Python, Go) for automation and tooling to improve infrastructure and application reliability.
Key Responsibilities
- Design and Development:
- Architect, design, and develop high-quality, scalable, and secure cloud-based software solutions.
- Collaborate with product and engineering teams to translate business requirements into technical specifications.
- Write clean, maintainable, and efficient code, following best practices and coding standards.
- Cloud Infrastructure:
- Develop and optimise cloud-native applications, leveraging cloud services like AWS, Azure, or Google Cloud Platform (GCP).
- Implement and manage CI/CD pipelines for automated deployment and testing.
- Ensure the security, reliability, and performance of cloud infrastructure.
- Technical Leadership:
- Mentor and guide junior engineers, providing technical leadership and fostering a collaborative team environment.
- Participate in code reviews, ensuring adherence to best practices and high-quality code delivery.
- Lead technical discussions and contribute to architectural decisions.
- Problem Solving and Troubleshooting:
- Identify, diagnose, and resolve complex software and infrastructure issues.
- Perform root cause analysis for production incidents and implement preventative measures.
- Continuous Improvement:
- Stay up-to-date with the latest industry trends, tools, and technologies in cloud computing and software engineering.
- Contribute to the continuous improvement of development processes, tools, and methodologies.
- Drive innovation by experimenting with new technologies and solutions to enhance the platform.
- Collaboration:
- Work closely with DevOps, QA, and other teams to ensure smooth integration and delivery of software releases.
- Communicate effectively with stakeholders, including technical and non-technical team members.
- Client Interaction & Management:
- Will serve as a direct point of contact for multiple clients.
- Able to handle the unique technical needs and challenges of two or more clients concurrently.
- Involve both direct interaction with clients and internal team coordination.
- Production Systems Management:
- Must have extensive experience in managing, monitoring, and debugging production environments.
- Will work on troubleshooting complex issues and ensure that production systems are running smoothly with minimal downtime.
- At least 5 year of experience in Cloud technologies-AWS and Azure and developing.
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=
LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.
Responsibilities:
- Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud
- Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems
- Automate the deployment and configuration of the virtualized infrastructure and the entire software stack
- Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO
- Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud
- Define and build processes to identify performance bottlenecks and scaling pitfalls
- Manage robust monitoring and alerting infrastructure
- Explore new tools to improve development operations to automate daily tasks
- Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
- Bachelor’s degree in Computer Science, Information Technology or a related field
- 11 to 14 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
- Strong background in Linux/Unix Administration and Python/Shell Scripting
- Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
- Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
- Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
- Experience in query analysis, peformance tuning, database redesigning,
- Experience in enterprise application development, maintenance and operations
- Knowledge of best practices and IT operations in an always-up, always-available service
- Excellent written and oral communication skills, judgment and decision-making skills.
- Excellent leadership skill.
Intuitive is now hiring for DevOps Consultant for full-time employment
DevOps Consultant
Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)
Key Skills / Requirements:
- Mandatory
- Integrating Jenkins pipelines with Terraform and Kubernetes
- Writing Jenkins JobDSL and Jenkinsfiles using Groovy
- Automation and integration with AWS using Python and AWS CLI
- Writing ad-hoc automation scripts using Bash and Python
- Configuring container-based application deployment to Kubernetes
- Git and branching strategies
- Integration of tests in pipelines
- Build and release management
- Deployment strategies (eg. canary, blue/green)
- TLS/SSL certificate management
- Beneficial
- Service Mesh
- Deployment of Java Spring Boot based applications
- Automated credential rotation using AWS Secrets Manager
- Log management and dashboard creation using Splunk
- Application monitoring using AppDynamics
If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud
Regards,
Anitha. K
TAG Specialist
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description:- Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.
- Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)
- Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS
- Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector.
- Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
- Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).
- Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
- Kubernetes CKA or CKAD certification nice to have
Excellent communication skills
Open to work on EST time zone
- Good knowledge of at least one language (C#, Java, Python, Go, PHP, Node.js)
- Have enough experience on application and infrastructure architectures
- Design and plan cloud solution architecture
- Design for security, network, and compliances
- Analyze and optimize technical and business processes
- Ensure solution and operational reliability
- Manage and provision cloud infrastructure
- Manage IaaS, PaaS, and SaaS solutions
- Design strategies around cloud governance, migration, Cloud operations and DevOps
- Design highly scalable, available, and reliable cloud applications
- Build and test applications
- Deploy applications on cloud
- Integration with cloud services
Certification:
- Architect level certificate of any cloud (AWS, GCP, Azure)
A network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth. We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud. We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices. We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.
This person MUST have:
- B.E Computer Science or equivalent
- 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
- 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
- 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
- 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
- Experience configuring/maintaining one monitoring tool.
- Excellent verbal & written communication skills.
- Candidates with certifications - AWS, GCP, CKA, etc will be preferred
- Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
- Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2 or Build & Deploy..
Location:
- Remotely, anywhere in India
Timings:
- The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
- Responsible for the entire infrastructure including Production (both bare metal and AWS).
- Manage and maintain the production systems and operations including SysAdmin, DB activities.
- Improve tools and processes, automate manual efforts, and maintain the health of the system.
- Champion best practices, CI-CD, Metrics Driven Development
- Optimise the company's computing architecture
- Conduct systems tests for security, performance, and availability
- Maintain security of the system
- Develop and maintain design and troubleshooting documentation
- 7+ years of experience into DevOps/Technical Operations
- Extensive experience in operating scripting language like shell, python, etc
- Experience in developing and maintaining CI/CD process for SaaS applications using tools such as Jenkins
- Hands on experience in using configuration management tools such as Puppet, SaltStack, Ansible, etc
- Hands-on experience to build and handle VMs, Containers utilizing tools such as Kubernetes, Docker, etc
- Hands on experience in building, designing and maintaining cloud-based applications with AWS, Azure,GCP, etc
- Knowledge of Databases (MySQL, NoSQL)
- Knowledge of security/ethical hacking
- Have experience with ElasticSearch, Kibana, LogStash
- Have experience with Cassandra, Hadoop, or Spark
- Have experience with Mongo, Hive









