Content Editor

Primary Skills: 

Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL

Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka

Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.

Cross-team coordination, incident triage and resolution, leadership and stakeholder management.

Secondary Skills:

Lang-chain, Langraph, RAG, MCP

Experience with working on LLM's and integrating with the existing applications

Python - FastAPI

Cache - Redis

Program Details:

Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.

Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.

Work on integrating the existing AI tools and should know major AI frameworks and libraries. 

Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.

Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.

Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.

Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.

Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.

Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.

If you are interested for this role, kindly acknowledge this email with your interest.

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: etalenthire[at]gmail[dot]com

Satish; 88O 27 49 743

Key Responsibilities:

• Build and Automation: Utilize Gradle for building and automating software projects. Ensure efficient and reliable build processes.
• Scripting: Develop and maintain scripts using Python and Shell scripting to automate tasks and improve workflow efficiency.
• CI/CD Tools: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Harness, Github Actions, Jenkins, and other relevant technologies. Ensure seamless integration and delivery of code changes.
• Cloud Platforms: Demonstrate proficiency in working with cloud platforms including OpenShift, Azure, and Google Cloud Platform (GCP). Deploy, manage, and monitor applications in cloud environments.

Share Cv to

Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Role Overview:

As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.

Key Responsibilities:

• Design and manage scalable, secure, and highly available cloud infrastructure.
• Lead efforts in implementing and optimizing CI/CD pipelines.
• Automate repetitive tasks and develop robust monitoring solutions.
• Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
• Troubleshoot complex issues across development, staging, and production environments.
• Mentor and guide L1 engineers on best practices.
• Stay updated on emerging DevOps tools and technologies.
• Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
• Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
• Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
• Proficiency in scripting languages like Python, Bash, or PowerShell.
• Deep understanding of system security, networking, and load balancing.
• Strong analytical skills and problem-solving mindset.
• Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.

What We Offer:

• Opportunity to work with a cutting-edge tech stack in a product-first company.
• Collaborative and growth-oriented environment.
• Competitive salary and benefits.
• Freedom to innovate and contribute to impactful projects.

• Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
• and/or Codefresh
• Excellent knowledge of AWS offerings around Cloud and DevOps
• Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
• Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
• Strong experience in Python, Shell Scripting, Ansible, and Terraform
• Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
• Experience with Linux/Unix systems administration.

• Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
• Good experience on Build and release process and extensively involved in the CICD using

Jenkins

• Experienced on configuration management tools like Ansible.
• Designing, implementing and supporting fully automated Jenkins CI/CD
• Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
• Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
• Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
• Good knowledge in version control system in Git and GitHub.
• Good experience in build tools
• Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest