DevOps
Engineers : Min 3 to 5 Years
Tech Leads : Min 6 to 10 Years
- Implementing & supporting CI/CD/CT pipelines at scale.
- Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.
- Extensive experience with Shell scripts (bash).
- Knowledge and practical experience of Jenkins for CI.
- Experienced in build & release management.
- Experience of deploying JVM based applications.
- Enterprise AWS deployment with sound knowledge on AWS & AWS security.
- Knowledge of encryption technologies: IPSec, SSL, SSH.
- Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments.
- DNS providing and maintenance.
- Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.
- Knowledge of app and server monitoring tools such as ELK/AppEngine.
- Excellent written, oral communication and interpersonal skills.

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We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.
The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.
Required Experience
- 6 – 10 Years of overall IT experience
- Strong experience in AIOps / MLOps / DevOps engineering
- Hands-on enterprise experience in Azure Cloud platform engineering
Key Responsibilities
AIOps / MLOps
- Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
- Ensure AI platform reliability, governance, security, and model performance optimization.
- Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
- Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
- Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
- Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
- Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
- Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts
Preferred Skills
- Python, MLflow, Model Registry, Experiment Tracking
- Azure DevOps & Azure Cloud
- Azure Machine Learning
- LLMOps / Generative AI operationalization
- AI model deployment and lifecycle management
- AI Gateway and Model Serving architectures
- Azure OpenAI & Azure AI Foundry
- MCP Server implementation and configuration
- CI/CD Automation & AKS
Soft Skills
- Strong communication and stakeholder management
- Good troubleshooting and problem-solving skills
- Ability to work independently and drive ownership
- Strong collaboration and documentation skills
Required Skills: Advanced AWS Infrastructure Expertise, CI/CD Pipeline Automation, Monitoring, Observability & Incident Management, Security, Networking & Risk Management, Infrastructure as Code & Scripting
Criteria:
- 5+ years of DevOps/SRE experience in cloud-native, product-based companies (B2C scale preferred)
- Strong hands-on AWS expertise across core and advanced services (EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, VPC, IAM, ELB/ALB, Route53)
- Proven experience designing high-availability, fault-tolerant cloud architectures for large-scale traffic
- Strong experience building & maintaining CI/CD pipelines (Jenkins mandatory; GitHub Actions/GitLab CI a plus)
- Prior experience running production-grade microservices deployments and automated rollout strategies (Blue/Green, Canary)
- Hands-on experience with monitoring & observability tools (Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.)
- Solid hands-on experience with MongoDB in production, including performance tuning, indexing & replication
- Strong scripting skills (Bash, Shell, Python) for automation
- Hands-on experience with IaC (Terraform, CloudFormation, or Ansible)
- Deep understanding of networking fundamentals (VPC, subnets, routing, NAT, security groups)
- Strong experience in incident management, root cause analysis & production firefighting
Description
Role Overview
Company is seeking an experienced Senior DevOps Engineer to design, build, and optimize cloud infrastructure on AWS, automate CI/CD pipelines, implement monitoring and security frameworks, and proactively identify scalability challenges. This role requires someone who has hands-on experience running infrastructure at B2C product scale, ideally in media/OTT or high-traffic applications.
Key Responsibilities
1. Cloud Infrastructure — AWS (Primary Focus)
- Architect, deploy, and manage scalable infrastructure using AWS services such as EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, ELB/ALB, VPC, IAM, Route53, etc.
- Optimize cloud cost, resource utilization, and performance across environments.
- Design high-availability, fault-tolerant systems for streaming workloads.
2. CI/CD Automation
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
- Automate deployments for microservices, mobile apps, and backend APIs.
- Implement blue/green and canary deployments for seamless production rollouts.
3. Observability & Monitoring
- Implement logging, metrics, and alerting using tools like Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.
- Perform proactive performance analysis to minimize downtime and bottlenecks.
- Set up dashboards for real-time visibility into system health and user traffic spikes.
4. Security, Compliance & Risk Highlighting
• Conduct frequent risk assessments and identify vulnerabilities in:
o Cloud architecture
o Access policies (IAM)
o Secrets & key management
o Data flows & network exposure
• Implement security best practices including VPC isolation, WAF rules, firewall policies, and SSL/TLS management.
5. Scalability & Reliability Engineering
- Analyze traffic patterns for OTT-specific load variations (weekends, new releases, peak hours).
- Identify scalability gaps and propose solutions across:
- o Microservices
- o Caching layers
- o CDN distribution (CloudFront)
- o Database workloads
- Perform capacity planning and load testing to ensure readiness for 10x traffic growth.
6. Database & Storage Support
- Administer and optimize MongoDB for high-read/low-latency use cases.
- Design backup, recovery, and data replication strategies.
- Work closely with backend teams to tune query performance and indexing.
7. Automation & Infrastructure as Code
- Implement IaC using Terraform, CloudFormation, or Ansible.
- Automate repetitive infrastructure tasks to ensure consistency across environments.
Required Skills & Experience
Technical Must-Haves
- 5+ years of DevOps/SRE experience in cloud-native, product-based companies.
- Strong hands-on experience with AWS (core and advanced services).
- Expertise in Jenkins CI/CD pipelines.
- Solid background working with MongoDB in production environments.
- Good understanding of networking: VPCs, subnets, security groups, NAT, routing.
- Strong scripting experience (Bash, Python, Shell).
- Experience handling risk identification, root cause analysis, and incident management.
Nice to Have
- Experience with OTT, video streaming, media, or any content-heavy product environments.
- Familiarity with containers (Docker), orchestration (Kubernetes/EKS), and service mesh.
- Understanding of CDN, caching, and streaming pipelines.
Personality & Mindset
- Strong sense of ownership and urgency—DevOps is mission critical at OTT scale.
- Proactive problem solver with ability to think about long-term scalability.
- Comfortable working with cross-functional engineering teams.
Why Join company?
• Build and operate infrastructure powering millions of monthly users.
• Opportunity to shape DevOps culture and cloud architecture from the ground up.
• High-impact role in a fast-scaling Indian OTT product.
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
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description:- Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.
- Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)
- Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS
- Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector.
- Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
- Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).
- Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
- Kubernetes CKA or CKAD certification nice to have
Excellent communication skills
Open to work on EST time zone
- Understanding customer requirements and project KPIs
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Managing stakeholders and external interfaces
- Setting up tools and required infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Have the technical skill to review, verify, and validate the software code developed in the project.
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Incidence management and root cause analysis
- Coordination and communication within the team and with customers
- Selecting and deploying appropriate CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
- Managing periodic reporting on the progress to the management and the customer
- 3 - 6 years of software development, and operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Experience managing any distributed NoSQL system (Kafka/Cassandra/etc.)
- Experience with Containers, Microservices, deployment and service orchestration using Kubernetes, EKS (preferred), AKS or GKE.
- Strong scripting language knowledge, such as Python, Shell
- Experience and a deep understanding of Kubernetes.
- Experience in Continuous Integration and Delivery.
- Work collaboratively with software engineers to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux-based systems
- 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
- AWS
- Docker
- Kubernetes
- Envoy
- Istio
- Jenkins
- Cloud Security & SIEM stacks
- Terraform
Job Description
Please connect me on Linkedin or share your Resume on shrashti jain
• 8+ years of overall experience and relevant of at least 4+ years. (Devops experience has be more when compared to the overall experience)
• Experience with Kubernetes and other container management solutions
• Should have hands on and good understanding on DevOps tools and automation framework
• Demonstrated hands-on experience with DevOps techniques building continuous integration solutions using Jenkins, Docker, Git, Maven
• Experience with n-tier web application development and experience in J2EE / .Net based frameworks
• Look for ways to improve: Security, Reliability, Diagnostics, and costs
• Knowledge of security, networking, DNS, firewalls, WAF etc
• Familiarity with Helm, Terraform for provisioning GKE,Bash/shell scripting
• Must be proficient in one or more scripting languages: Unix Shell, Perl, Python
• Knowledge and experience with Linux OS
• Should have working experience with monitoring tools like DataDog, Elk, and/or SPLUNK, or any other monitoring tools/processes
• Experience working in Agile environments
• Ability to handle multiple competing priorities in a fast-paced environment
• Strong Automation and Problem-solving skills and ability
• Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache).
•Very strong hands with Automation tools such Terraform
• Good experience with provisioning tools such as Ansible, Chef
• Experience with CI CD tools such as Jenkins.
•Experience managing production.
• Good understanding of security in IT and the cloud
• Good knowledge of TCP/IP
• Good Experience with Linux, networking and generic system operations tools
• Experience with Clojure and/or the JVM
• Understanding of security concepts
• Familiarity with blockchain technology, in particular Tendermint
We are a growth-oriented, dynamic, multi-national startup, so those that are looking for that startup excitement, dynamics, and buzz are here at the right place. Read on -
FrontM (http://www.frontm.com/" target="_blank">www.frontm.com) is an edge AI company with a platform that is redefining how businesses and people in remote and isolated environments (maritime, aviation, mining....) collaborate and drive smart decisions.
Successful candidate will lead the back end architecture working alongside VP of delivery, CTO and CEO
The problem you will be working on:
- Take ownership of AWS cloud infrastructure
- Overlook tech ops with hands-on CI/CD and administration
- Develop Node.js Java and backend system procedures for stability, scale and performance
- Understand FrontM platform roadmap and contribute to planning strategic and tactical capabilities
- Integrate APIs and abstractions for complex requirements
Who you are:
- You are an experienced Cloud Architect and back end developer
- You have experience creating AWS Serverless Lambdas EC2 MongoDB backends
- You have extensive CI/CD and DevOps experience
- You can take ownership of continuous server uptime, maintenance, stability and performance
- You can lead a team of backend developers and architects
- You are a die-hard problem solver and never-say-no person
- You have 10+ years experience
- You are very sound in English language
- You have the ability to initiate and lead teams working with senior management
Additional benefits
- Generous pay package, flexible for the right candidate
- Career development and growth planning
- Entrepreneurial environment that nurtures and promotes innovation
- Multi-national team with an enjoyable culture
We'd love to talk to you if you find this interesting and like to join in on our exciting journey







