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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 - IT Cloud Engineer/ Devops

• Proficient in Linux.
• Hands on experience with AWS cloud or Google Cloud.
• Knowledge of container technology like Docker.
• Expertise in scripting languages. (Shell scripting or Python scripting)
• Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.

Job Description:

The incumbent would be responsible for:

• Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
• Server monitoring, analysis and troubleshooting.
• Deploying multi-tier architectures using microservices.
• Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
• Automating workflow with python or shell scripting.
• CI and CD integration for application lifecycle management.
• Hosting and managing websites on Linux machines.
• Frontend, backend and database optimization.
• Protecting operations by keeping information confidential.
• Providing information by collecting, analyzing, summarizing development & service issues.
• Prepares & installs solutions by determining and designing system specifications, standards & programming.

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.

• Minimum 3+ yrs of Experience in DevOps with AWS Platform
•     • Strong AWS knowledge and experience
•     • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
•     • Experience with IAC tools  Terraform
•     • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
•     • Significant experience with Linux operating system environments
•     • Experience with infrastructure scripting solutions such as Python/Shell scripting
•     • Must have experience in designing Infrastructure automation framework.
•     • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
•     • Excellent problem-solving, Log Analysis and troubleshooting skills
•     • Experience in setting up centralized logging for system (EKS, EC2) and application
•     • Process-oriented with great documentation skills
•     • Ability to work effectively within a team and with minimal supervision

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

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

A.P.T Portfolio, a high frequency trading firm that specialises in Quantitative Trading & Investment Strategies.Founded in November 2009, it has been a major liquidity provider in global Stock markets. 

As a manager, you would be incharge of managing the devops team and your remit shall include the following

• Private Cloud - Design & maintain a high performance and reliable network architecture to support  HPC applications
• Scheduling Tool - Implement and maintain a HPC scheduling technology like Kubernetes, Hadoop YARN  Mesos, HTCondor or Nomad for processing & scheduling analytical jobs. Implement controls which allow analytical jobs to seamlessly utilize ideal capacity on the private cloud. 
• Security - Implementing best security practices and implementing data isolation policy between different divisions internally. 
• Capacity Sizing - Monitor private cloud usage and share details with different teams. Plan capacity enhancements on a quarterly basis. 
• Storage solution - Optimize storage solutions like NetApp, EMC, Quobyte for analytical jobs. Monitor their performance on a daily basis to identify issues early.
• NFS - Implement and optimize latest version of NFS for our use case. 
• Public Cloud - Drive AWS/Google-Cloud utilization in the firm for increasing efficiency, improving collaboration and for reducing cost. Maintain the environment for our existing use cases. Further explore potential areas of using public cloud within the firm. 
• BackUps  - Identify and automate  back up of all crucial data/binary/code etc in a secured manner at such duration warranted by the use case. Ensure that recovery from back-up is tested and seamless. 
•  Access Control  - Maintain password less access control and improve security over time. Minimize failures for automated job due to unsuccessful logins. 
•  Operating System  -Plan, test and roll out new operating system for all production, simulation and desktop environments. Work closely with developers to highlight new performance enhancements capabilities of new versions. 
•  Configuration management  -Work closely with DevOps/ development team to freeze configurations/playbook for various teams & internal applications. Deploy and maintain standard tools such as Ansible, Puppet, chef etc for the same. 
•  Data Storage & Security Planning  - Maintain a tight control of root access on various devices. Ensure root access is rolled back as soon the desired objective is achieved.
• Audit access logs on devices. Use third party tools to put in a monitoring mechanism for early detection of any suspicious activity. 
• Maintaining all third party tools used for development and collaboration - This shall include maintaining a fault tolerant   environment for GIT/Perforce, productivity tools such as Slack/Microsoft team, build tools like Jenkins/Bamboo etc

Qualifications 

• Bachelors or Masters Level Degree, preferably in CSE/IT
• 10+ years of relevant experience in sys-admin function
• Must have strong knowledge of IT Infrastructure, Linux, Networking and grid.
• Must have strong grasp of automation & Data management tools.
• Efficient in scripting languages and python

Desirables

• Professional attitude, co-operative and mature approach to work, must be focused, structured and well considered, troubleshooting skills.
•  Exhibit a high level of individual initiative and ownership, effectively collaborate with other team members.

APT Portfolio is an equal opportunity employer

At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time. 

SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations. 

Day to day responsibilities include:

1. Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
2. Work on Linux/Unix OS and Multi tech application patching
3. Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
4. Create and modify scripts or applications to perform tasks
5. Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
6. Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it. 
7. Managing release of the sprint. 
8. Educating team of the best practices.
9. Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
10. Implementing cost effective measure on cloud and minimizing existing costs.

Skills and prerequisites

1. OOPS knowledge
2. Problem solving nature
3. Willing to do the R&D
4. Works with the team and support their queries patiently 
5. Bringing new things on the table - staying updated 
6. Pushing solution above a problem. 
7. Willing to learn and experiment
8. Techie at heart
9. Git basics
10. Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
11. Basic Linux handling 
12. Docker and orchestration (Great to have)
13. Scripting – python (preferably)/bash

• 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

Job Description

We are looking to add DevOps Engineer to the Infra team. 

Roles & Responsibilities

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.

Eligibility

B.Tech/M.Tech/B.E

Company Introduction

Established in May 2015, Indus OS is a homebred system apps company, building India’s only content and commerce platform for users to discover and consume digital content & services in the language of their choice. With a vision of digitally connecting 1 Billion Indians, Indus OS is constantly striving to adapt its existing portfolio (App Store, Minus One Screen, Keyboard, Messenger, etc) by introducing new features to enrich the user experience in their native language.
Currently, Indus OS has a user base of over 12+ Million on the back of 10+ smartphone brand partnerships with leading OEMs such as Samsung, Gionee, iTel, Micromax, Intex, Karbonn, and others. The Indus platform is available in English & 23 Indian regional languages and is intended to digitally connect the next 1 billion people in the emerging markets.