Responsibilities
Provisioning and de-provisioning AWS accounts for internal customers
Work alongside systems and development teams to support the transition and operation of client websites/applications in and out of AWS.
Deploying, managing, and operating AWS environments
Identifying appropriate use of AWS operational best practices
Estimating AWS costs and identifying operational cost control mechanisms
Keep technical documentation up to date
Proactively keep up to date on AWS services and developments
Create (where appropriate) automation, in order to streamline provisioning and de-provisioning processes
Lead certain data/service migration projects
Job Requirements
Experience provisioning, operating, and maintaining systems running on AWS
Experience with Azure/AWS.
Capabilities to provide AWS operations and deployment guidance and best practices throughout the lifecycle of a project
Experience with application/data migration to/from AWS
Experience with NGINX and the HTTP protocol.
Experience with configuration and management software such as GIT Strong analytical and problem-solving skills
Deployment experience using common AWS technologies like VPC, and regionally distributed EC2 instances, Docker, and more.
Ability to work in a collaborative environment
Detail-oriented, strong work ethic and high standard of excellence
A fast learner, the Achiever, sets high personal goals
Must be able to work on multiple projects and consistently meet project deadlines

About Devkraft Technologies Private Limited
About
Similar jobs
- Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
- Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
- Good experience in Javascript.
- Expertise in Linux / Windows environment.
- Good Experience in Scripting languages like PowerShell / Bash/ Python.
- Proficiency in revision control and DevOps best practices like Git
REVIEW CRITERIA:
MANDATORY:
- Strong Hands-On AWS Cloud Engineering / DevOps Profile
- Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
- Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
- Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
- Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
- Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
- Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills
ROLE & RESPONSIBILITIES:
We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.
KEY RESPONSIBILITIES:
- Operate and support AWS production environments across multiple accounts
- Manage infrastructure using Terraform and support CI/CD pipelines
- Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
- Build and manage Docker images and push to Amazon ECR
- Monitor systems using CloudWatch and third-party tools; respond to incidents
- Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
- Assist with cost optimization, tagging, and governance standards
- Automate operational tasks using Python, Lambda, and Systems Manager
IDEAL CANDIDATE:
- Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Experience with Terraform and Git-based workflows
- Hands-on experience with Kubernetes / EKS
- Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
- Scripting experience in Python or Bash
- Understanding of monitoring, incident management, and cloud security basics
NICE TO HAVE:
- AWS Associate-level certifications
- Experience with Karpenter, Prometheus, New Relic
- Exposure to FinOps and cost optimization practices
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.
DevOps & Automation:
- Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.
Cloud Services & Architecture:
- Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
- Good understanding of cloud design patterns, security best practices, and cost optimization strategies.
Scripting & Automation:
- Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
- Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.
Data Integration & ADF:
- Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
- Knowledge of data integration practices, including ETL/ELT processes and data transformations.
Application Management & Monitoring:
- Ability to provide comprehensive support for both new and legacy applications.
- Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
- Understanding of application security principles and best practices.
Database Skills:
- Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.
DESIRED SKILLS AND EXPERIENCE
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux
o Networking knowledge – Firewalls, VPNs, Load Balancers
o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana
o Git, Jenkins, Jira
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 :
- Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
- Extensive AWS/GCP Core Infrastructure skills
- Infrastructure/ IAC Automation, Integration - Terraform
- Kubernetes resources engineering and management
- Experience with DevOps tools, CICD pipelines and release management
- Good at creating documentation(runbooks, design documents, implementation plans )
Linux Experience :
- Namespace
- Virtualization
- Containers
Networking Experience
- Virtual networking
- Overlay networks
- Vxlans, GRE
Kubernetes Experience :
Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.
Observability
Experience in observability is a plus
Cloud automation :
Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.
- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
Requirements
You will make an ideal candidate if you have:
-
Experience of building a range of Services in a Cloud Service provider
-
Expert understanding of DevOps principles and Infrastructure as a Code concepts and techniques
-
Strong understanding of CI/CD tools (Jenkins, Ansible, GitHub)
-
Managed an infrastructure that involved 50+ hosts/network
-
3+ years of Kubernetes experience & 5+ years of experience in Native services such as Compute (virtual machines), Containers (AKS), Databases, DevOps, Identity, Storage & Security
-
Experience in engineering solutions on cloud foundation platform using Infrastructure As Code methods (eg. Terraform)
-
Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
-
Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams
-
Good leadership and teamwork skills - Works collaboratively in an agile environment
-
Operational effectiveness - delivers solutions that align to approved design patterns and security standards
-
Excellent skills in at least one of following: Python, Ruby, Java, JavaScript, Go, Node.JS
-
Experienced in full automation and configuration management
-
A track record of constantly looking for ways to do things better and an excellent understanding of the mechanism necessary to successfully implement change
-
Set and achieved challenging short, medium and long term goals which exceeded the standards in their field
-
Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
-
Built effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same
-
A successful track record of delivering complex projects and/or programmes, utilizing appropriate techniques and tools to ensure and measure success
-
A comprehensive understanding of risk management and proven experience of ensuring own/others' compliance with relevant regulatory processes
Essential Skills :
-
Demonstrable Cloud service provider experience - infrastructure build and configurations of a variety of services including compute, devops, databases, storage & security
-
Demonstrable experience of Linux administration and scripting preferably Red Hat
-
Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools
-
Experience working within an Agile environment
-
Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Node.JS
-
Server administration (either Linux or Windows)
-
Automation scripting (using scripting languages such as Terraform, Ansible etc.)
-
Ability to quickly acquire new skills and tools
Required Skills :
-
Linux & Windows Server Certification
DevOps Engineer
Notice Period: 45 days / Immediate Joining
Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.
We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. we offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.
Key Qualifications
· 4+ years of experience as a DevOps Engineer with monitoring, troubleshooting, and diagnosing infrastructure systems.
· Experience in implementation of continuous integration and deployment pipelines using Jenkins, JIRA, JFrog, etc
· Strong experience in Linux/Unix administration.
· Experience with automation/configuration management using Puppet, Chef, Ansible, Terraform, or other similar tools.
· Expertise in multiple coding and scripting languages including Shell, Python, and Perl
· Hands-on experience Exposure to modern IT infrastructure (eg. Docker swarm/Mesos/Kubernetes/Openstack)
· Exposure to any of relation database technologies MySQL/Postgres/Oracle or any No-SQL database
· Worked on open-source tools for logging, monitoring, search engine, caching, etc.
· Professional Certificates in AWS or any other cloud is preferable
· Excellent problem solving and troubleshooting skills
· Must have good written and verbal communication skills
Key Responsibilities
Ambitious individuals who can work under their own direction towards agreed targets/goals.
Must be flexible to work on the office timings to accommodate the multi-national client timings.
Will be involved in solution designing from the conceptual stages through development cycle and deployments.
Involve development operations & support internal teams
Improve infrastructure uptime, performance, resilience, reliability through automation
Willing to learn new technologies and work on research-orientated projects
Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.
Scope and deliver solutions with the ability to design solutions independently based on high-level architecture.
Independent thinking, ability to work in a fast-paced environment with creativity and brainstorming
http://www.banyandata.com" target="_blank">www.banyandata.com
1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.







