Amazon Web Services (AWS)
Kubernetes
Docker
Jenkins
Machine Learning (ML)
grafanaROLE & 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
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise
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- Security and Risk Compliance
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Job Role:
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- Work with other teams in continuous integration and continuous deployment pipeline in delivering solutions
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DockerKubernetesAmazon Web Services (AWS)About Quantela
We are a technology company that offers outcomes business models. We empower our customers with the right digital infrastructure to deliver greater economic, social, and environmental outcomes for their constituents.
When the company was founded in 2015, we specialized in smart cities technology alone. Today, working with cities and towns; utilities, and public venues, our team of 280+ experts offer a vast array of outcomes business models through technologies like digital advertising, smart lighting, smart traffic, and digitized citizen services.
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For latest news and updates please visit us at www.quantela.com
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Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
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Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
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We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
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DockerKubernetesAmazon Web Services (AWS)Location: Amravati, Maharashtra 444605 , INDIA
We are looking for a Kubernetes Cloud Engineer with experience in deployment and administration of Hyperledger Fabric blockchain applications. While you will work on Truscholar blockchain based platform (both Hyperledger Fabric and INDY versions), if you combine rich Kubernetes experience with strong DevOps skills, we will still be keen on talking to you.
Responsibilities
● Deploy Hyperledger Fabric (BEVEL SETUP) applications on Kubernetes
● Monitoring Kubernetes system
● Implement and improve monitoring and alerting
● Build and maintain highly available blockchain systems on Kubernetes
● Implement an auto-scaling system for our Kubernetes nodes
● Detail Design & Develop SSI & ZKP Solution
● - Act as a liaison between the Infra, Security, business & QA Teams for end to end integration and DevOps - Pipeline adoption.
Technical Skills
● Experience with AWS EKS Kubernetes Service, Container Instances, Container Registry and microservices (or similar experience on AZURE)
● Hands on with automation tools like Terraform, Ansible
● Ability to deploy Hyperledger Fabric in Kubernetes environment is highly desirable
● Hyperledger Fabric/INDY (or other blockchain) development, architecture, integration, application experience
● Distributed consensus systems such as Raft
● Continuous Integration and automation skills including GitLab Actions ● Microservices architectures, Cloud-Native architectures, Event-driven architectures, APIs, Domain Driven Design
● Being a Certified Hyperledger Fabric Administrator would be an added advantage
Sills Set
● Understanding of Blockchain NEtworks
● Docker Products
● Amazon Web Services (AWS)
● Go (Programming Language)
● Hyperledger Fabric/INDY
● Gitlab
● Kubernetes
● Smart Contracts
Who We are:
Truscholar is a state-of- art Digital Credential Issuance and Verification Platform running as blockchain Infrastructure as an Instance of Hyperledger Indy Framework. Our Solution helps all universities, Institutes, Edtech, E-learning Platforms, Professional Training Academics, Corporate Employee Training and Certifications and Event Management Organisations managing exhibitions, Trade Fairs, Sporting Events, seminars and webinars to their learners, employees or participants. The digital certificates, Badges, or transcripts generated are immutable, shareable and verifiable thereby building an individual's Knowledge Passport. Our Platform has been architected to function as a single Self Sovereign Identity Wallet for the next decade, keeping personal data privacy guidelines in min.
Why Now?
The Startup venture, which was conceived as an idea while two founders were pursuing a Blockchain Technology Management Course, has received tremendous applause and appreciation from mentors and investors, and has been able to roll out the product within a year and comfortably complete the product market fit stage. Truscholar has entered a growth stage, and is searching for young, creative, and bright individuals to join the team and make Truscholar a preferred global product within the next 36 months.
Our Work Culture:
With our innovation, open communication, agile thought process, and will to achieve, we are a very passionate group of individuals driving the company's growth. As a result of their commitment to the company's development narrative, we believe in offering a work environment with clear metrics to support workers' individual progress and networking within the fraternity.
Our Vision:
To become the intel inside the education world by powering all academic credentials across the globe and assisting students in charting their digital academic passports.
Advantage Location Amravati, Maharashtra, INDIA
Amid businesses in India realising the advantages of the work-from-home (WFH) concept in the backdrop of the Coronavirus pandemic, there has been a major shift of the workforce towards tier-2 cities.
Amravati, also called Ambanagri, is a city of immense cultural and religious importance and a beautiful Tier 2 City of Maharastra. It is also called the cultural capital of the Vidarbha region. The cost of living is less, the work-life balance is better, much breathable air, fewer traffic bottlenecks and housing remains affordable, as compared to congested and eccentric metro cities of India. We firmly believe that they (tier-2) are the future talent hubs and job-creation centres. Our conviction has been borne out by the fact that tier-2 cities have made great strides in salary levels due to a lot of investments in building excellent physical and social infrastructure.
DockerJenkinsAmazon Web Services (AWS)• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as code
• Ensure configuration and compliance with configuration management tools
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization
Qualifications:
• At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Expertise on configuration management
• Hands-on experience deploying and managing infrastructure with Terraform
• Solid foundation of networking and Linux administration
• Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Strong bias for action and ownership
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon