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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Employment Type: Full-Time
Working Days: 6 Days (Alternate Saturdays Working)
Experience Required: 5+ Years
Team Role: Lead & Mentor a team of 3–4 engineers
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- Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
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- Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
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- Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.
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✅ 5+ years of proven DevOps engineering experience
✅ Strong expertise in Linux administration & shell scripting
✅ Hands-on experience with bare-metal server management & storage systems
✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible
✅ Experience with Kafka or RabbitMQ in production environments
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✅ Excellent problem-solving, troubleshooting, and leadership abilities
✅ Strong communication skills with the ability to mentor and lead teams
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- Experience in Telecom projects involving SMS, voice, or real-time data handling.
We are looking for a passionate DevOps Engineer who can support deployment and monitor our Production, QE, and Staging environments performance. Applicants should have a strong understanding of UNIX internals and should be able to clearly articulate how it works. Knowledge of shell scripting & security aspects is a must. Any experience with infrastructure as code is a big plus. The key responsibility of the role is to manage deployments, security, and support of business solutions. Having experience in database applications like Postgres, ELK, NodeJS, NextJS & Ruby on Rails is a huge plus. At VakilSearch. Experience doesn't matter, passion to produce change matters
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- As part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the infra components of VakilSearch’s product which are hosted in cloud services & on-prem facility
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- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restore of different Env
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- Linux, AWS, GCP, Azure, CompTIA+, and any other certification are a value-add
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- Experience in Cloud deployments, Linux administration[ Kernel Tuning is a value add ], Linux clustering, AWS, virtualization, and networking concepts [ Azure, GCP value add ]
- Experience in deployment solutions CI/CD like Jenkins, GitHub Actions [ Release Management is a value add ]
- Hands-on experience in any of the configuration management IaC tools like Chef, Terraform, and CloudFormation [ Ansible & Puppet is a value add ]
- Administration, Configuring and utilizing Monitoring and Alerting tools like Prometheus, Grafana, Loki, ELK, Zabbix, Datadog, etc
- Experience with Containerization and orchestration tools like Docker, and Kubernetes [ Docker swarm is a value add ]Good Scripting skills in at least one interpreted language - Shell/bash scripting or Ruby/Python/Perl
- Experience in Database applications like PostgreSQL, MongoDB & MySQL [DataOps]
- Good at Version Control & source code management systems like GitHub, GIT
- Experience in Serverless [ Lambda/GCP cloud function/Azure function ]
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- Knowledge in Puma, Unicorn, Gunicorn & Yarn
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- Experience in Implementing and troubleshooting TCP/IP networks, VPN, Load Balancing & Web application firewalls
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- Test Automation like Selenium, JMeter, and JUnit is a value-add
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- Experience in Identifying Inbound and Outbound Threats and resolving it
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_____________________________________________________
Strengthen the application and environment security by applying standards and best practices and providing tooling to make development workflows more secure
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Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3 and IAM with Terraform and Ansible.
Enable our product development team to deliver new code daily through Continuous Integration and Deployment Pipelines.
Create a secure production infrastructure and protect our customer data with continuous security practices and monitoring. Design, develop and scale infrastructure-as-code
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Qualifications and Background
_______________________________________________________
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About Witmer Health
_________________________________________________________
We exist to make mental healthcare more accessible, affordable, and effective. At Witmer, we are on a mission to build a research-driven, global mental healthcare company to work on developing novel solutions - by harnessing the power of AI/ML and data science - for a range of mental illnesses like depression, anxiety, OCD, and schizophrenia, among others. Our first foray will be in the space of workspace wellness, where we are building tools to help individual employees and companies improve their mental wellness and raise productivity levels.
JenkinsDockerKubernetesPosition: DevOps Engineer
Job Description
The candidate should have the following Skills:
- Hands-on experience with DevOps & CICD open source tools (Jenkins, ), including AWS DevOps services (CodePipeline, CloudFormation, etc).
- Experience in building and deploying using Java/Python/Node.js on Cloud infrastructure (Docker or Kubernetes containers or Lambda.)
- Exposure to Cloud operations, releases, and configuration management
- Experience in implementing Non-functional requirements for microservices, including performance, security, compliance, HA and Disaster Recovery.
- Good soft skills, great attitude, and passion for working in a product startup environment
Total Experience of 2-5 years post BE or BTech or MCA in Computer Science Engineering.
PythonKubernetes
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Full Stack Developer - Averlon