DevOps - Automation, Python

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

Job Title: AWS Devops Engineer – Manager Business solutions

Location: Gurgaon, India

Experience Required: 8-12 years

Industry: IT

We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.

Key Deliverables (Essential functions & Responsibilities of the Job):

·         Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.

·         Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.

·         Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.

·         Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.

·         Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.

·         Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.

·         Work closely with development teams to improve application reliability, scalability, and performance.

·         Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.

·         Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.

·         Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.

Knowledge Skills and Abilities:

·         7+ years of hands-on AWS DevOps experience, especially with middleware services.

·         Strong expertise in MongoDB Atlas or other cloud MongoDB services.

·         Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.

·         Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.

·         Excellent scripting skills in Python, Bash, or PowerShell.

·         Experience in containerization and orchestration: Docker, EKS, ECS.

·         Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.

·         Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.

·         Ability to solve complex problems and thrive in a fast-paced environment.

Preferred Qualifications

·         AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.

·         MongoDB Certified DBA or Developer.

·         Experience with serverless services like AWS Lambda, Step Functions.

·         Exposure to multi-cloud or hybrid cloud environments.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish; 88O 27 49 743

Google search: Glan management consultancy

Key Responsibilities:

• Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
• Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
• Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
• Manage and monitor production deployments to ensure high availability and performance
• Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
• Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
• Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
• Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
• Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
• Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
• Collaborate with development and QA teams to align infrastructure with application needs
• Troubleshoot infrastructure and deployment issues efficiently and proactively
• Ensure cloud cost optimization and usage tracking

Required Skills & Experience:

• 3-4 years of hands-on experience in a DevOps
• Strong expertise with both AWS and Azure cloud platforms
• Proficient in Git, branching strategies, and pull request workflows
• Deep understanding of CI/CD concepts and experience with pipeline tools
• Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
• Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
• Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
• Experience with Infrastructure as Code tools (Terraform preferred)
• Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
• Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
• Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
• Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
• Working knowledge of monitoring and logging tools
• Strong troubleshooting and problem-solving skills

Good to Have (Bonus Points):

• Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
• Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
• Experience with compliance/security best practices (SOC2, ISO, etc.)
• Familiarity with Service Mesh (Istio, Linkerd) and API gateways
• Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)

We’re hiring a DevOps Engineer who’s passionate about automation, reliability, and scaling infrastructure for modern cloud-native applications. If you thrive in dynamic environments and love problem-solving at scale, we’d love to meet you!

🔧 Key Responsibilities

• Manage and support production systems with on-call rotations
• Deploy and maintain scalable infrastructure on AWS (ECS, EC2, EKS, S3, RDS, ELB, IAM, Lambda)
• Build infrastructure using Terraform
• Manage and monitor Kubernetes clusters and Docker containers
• Automate deployment and configuration using Ansible or similar tools
• Ensure systems reliability using robust monitoring and alerting tools
• Work with Linux OS, and network protocols like HTTP, DNS, SMTP, LDAP
• Manage services like Nginx, HAProxy, MySQL, SSH
• Collaborate with development, QA, and product teams
• Document systems and infrastructure best practices

✅ Required Skills

• 4+ years in DevOps, SRE, or Systems Administration
• Hands-on experience with AWS, Kubernetes, Docker
• Proficient with Terraform, Ansible, and Linux systems
• Strong understanding of networking, system logs, and debugging
• Excellent communication and documentation skills

Job Description

We are looking for an experienced software engineer with a strong background in DevOps and handling

traffic & infrastructure at scale.

Responsibilities :

Work closely with product engineers to implement scalable and highly reliable systems.

Scale existing backend systems to handle ever-increasing amounts of traffic and new product

requirements.

Collaborate with other developers to understand & setup tooling needed for - Continuous

Integration/Delivery/Deployment practices.

Build & operate infrastructure to support website, backend cluster, ML projects in the organization.

Monitor and track performance and reliability of our services and software to meet promised SLA

You are the right fit if you have:

1+ years of experience working on distributed systems and shipping high-quality product features on

schedule

Experience with Python including Object Oriented programming

Container administration and development utilizing Kubernetes, Docker, Mesos, or similar

Infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar

Knowledge of cloud compute technologies, network monitoring

Experience with Cloud Orchestration frameworks, development and SRE support of these systems

Experience with CI/CD pipelines including VCS (git, svn, etc), Gitlab Runners, Jenkins

Working with or supporting production, test, and development environments for medium to large user

environments

Installing and configuring application servers and database servers

Experience in developing scripts to automate software deployments and installations

Experience in a 247 high-availability production environmentAbility to come with best solution by capturing big picture instead of focusing on minor details. Root

cause analysis

Mandatory skills: Shell/Bash Scripting, Unix, Linux, Dockers, Kubernetes, AWS, Jenkins, GIT

Company Introduction :

My Next Developer is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand.

We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.

Job Responsibilities

- Ensure security in the development activities.

- Implement risk management techniques and threat modeling.

- Implement infrastructure automation, monitoring and alerts as part of ISO 27001 and SOC 2 certifications.

- Collaborate with internal teams to produce the best security solutions

Minimum requirements :

- Bachelor's/Master's degree in degree in computer science, cybersecurity, engineering, or equivalent degree.

- 3+ years of experience as a DevSecOps engineer.

- Proficiency in back-end technologies such as NodeJs or Python.

- Expertise in using DevOps tools like GitHub, dependency management, and CI/CD.

- Profound knowledge of AWS cloud, DevOps culture and automation tools.

- Fluent in both spoken and written English communication.

- Ability to work full-time (40 hours/week) with a 2-3 hour overlap with European time zone.

- Stay up-to-date on cybersecurity threats and follow the best practices.

- Previous project experience related to ISO 27001 and SOC 2 certifications.

• Pixuate is a deep-tech AI start-up enabling businesses make smarter decisions with our edge-based video analytics platform and offer innovative solutions across traffic management, industrial digital transformation, and smart surveillance. We aim to serve enterprises globally as a preferred partner for digitization of visual information.

  Job Description

  We at Pixuate are looking for highly motivated and talented Senior DevOps Engineers to support building the next generation, innovative, deep-tech AI based products. If you are someone who has a passion for building a great software, has analytical mindset and enjoys solving complex problems, thrives in a challenging environment, self-driven, constantly exploring & learning new technologies, have ability to succeed on one’s own merits and fast-track your career growth we would love to talk!

  What do we expect from this role?

  • This role’s key area of focus is to co-ordinate and manage the product from development through deployment, working with rest of the engineering team to ensure smooth functioning.
  • Work closely with the Head of Engineering in building out the infrastructure required to deploy, monitor and scale the services and systems.
  • Act as the technical expert, innovator, and strategic thought leader within the Cloud Native Development, DevOps and CI/CD pipeline technology engineering discipline.
  • Should be able to understand how technology works and how various structures fall in place, with a high-level understanding of working with various operating systems and their implications.
  • Troubleshoots basic software or DevOps stack issues

  You would be great at this job, if you have below mentioned competencies

  • Tech /M.Tech/MCA/ BSc / MSc/ BCA preferably in Computer Science
  • 5+ years of relevant work experience
  • https://www.edureka.co/blog/devops-skills#knowledge">Knowledge on Various DevOps Tools and Technologies
  • Should have worked on tools like Docker, Kubernetes, Ansible in a production environment for data intensive systems.
  • Experience in developing https://www.edureka.co/blog/continuous-delivery/">Continuous Integration/ Continuous Delivery pipelines (CI/ CD) preferably using Jenkins, scripting (Shell / Python) and https://www.edureka.co/blog/what-is-git/">Git and Git workflows
  • Experience implementing role based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment.
  • Experience with the design and implementation of big data backup/recovery solutions.
  • Strong Linux fundamentals and scripting; experience as Linux Admin is good to have.
  • Working knowledge in Python is a plus
  • Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB, HAProxy) and high availability architecture is a plus
  • Strong interpersonal and communication skills
  • Proven ability to complete projects according to outlined scope and timeline
  • Willingness to travel within India and internationally whenever required
  • Demonstrated leadership qualities in past roles

  More about Pixuate:

  Pixuate, owned by Cocoslabs Innovative Solutions Pvt. Ltd., is a leading AI startup building the most advanced Edge-based video analytics products. We are recognized for our cutting-edge R&D in deep learning, computer vision and AI and we are solving some of the most challenging problems faced by enterprises. Pixuate’s plug-and-play platform revolutionizes monitoring, compliance to safety, and efficiency improvement for Industries, Banks & Enterprises by providing actionable real-time insights leveraging CCTV cameras.

  We have enabled our customers such as Hindustan Unilever, Godrej, Secuira, L&T, Bigbasket, Microlabs, Karnataka Bank etc and rapidly expanding our business to cater to the needs of Manufacturing & Logistics, Oil and Gas sector.

  Rewards & Recognitions:

  • Winner of Elevate by Startup Karnataka (https://pixuate.ai/thermal-analytics/">https://pixuate.ai/thermal-analytics/).
  • Winner of Manufacturing Innovation Challenge in the 2nd edition of Fusion 4.0’s MIC2020 organized by the NASSCOM Centre of Excellence in IoT & AI in 2021
  • Winner of SASACT program organized by MEITY in 2021

  Why join us?

  You will get an opportunity to work with the founders and be part of 0 to 1 journey& get coached and guided. You will also get an opportunity to excel your skills by being innovative and contributing to the area of your personal interest. Our culture encourages innovation, freedom and rewards high performers with faster growth and recognition.   

  Where to find us?

  Website: http://pixuate.com/">http://pixuate.com/                            

  Linked in: https://www.linkedin.com/company/pixuate-ai     

   

  Place of Work:

  Work from Office – Bengaluru

• Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
• Administer a hybrid datacenter, including AWS and EC2 cloud assets
• Administer, automate and troubleshoot container based solutions deployed on AWS ECS
• Be able to troubleshoot problems and provide feedback to engineering on issues
• Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
• Learn and administer technologies such as ELK, Hadoop etc.
• A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.

Need to have

• Hands-on Experience in Cloud based DevOps
• Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
• Experience with any programming language.
• Experience using Ansible, Docker, Jenkins, Kubernetes
• Experience in Python.
• Should be very comfortable working in Linux/Unix environment.
• Exposure to Shell Scripting.
• Solid troubleshooting skills

• 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