
Role Description:
● Own, deploy, configure, and manage infrastructure environment and/or applications in
both private and public cloud through cross-technology administration (OS, databases,
virtual networks), scripting, and monitoring automation execution.
● Manage incidents with a focus on service restoration.
● Act as the primary point of contact for all compute, network, storage, security, or
automation incidents/requests.
● Manage rollout of patches and release management schedule and implementation.
Technical experience:
● Strong knowledge of scripting languages such as Bash, Python, and Golang.
● Expertise in using command line tools and shells
● Strong working knowledge of Linux/UNIX and related applications
● Knowledge in implementing DevOps and having an inclination towards automation.
● Sound knowledge in infrastructure-as-a-code approaches with Puppet, Chef, Ansible, or
Terraform, and Helm. (preference towards Terraform, Ansible, and Helm)
● Must have strong experience in technologies such as Docker, Kubernetes, OpenShift,
etc.
● Working with REST/gRPC/GraphQL APIs
● Knowledge in networking, firewalls, network automation
● Experience with Continuous Delivery pipelines - Jenkins/JenkinsX/ArgoCD/Tekton.
● Experience with Git, GitHub, and related tools
● Experience in at least one public cloud provider
Skills/Competencies
● Foundation: OS (Linux/Unix) & N/w concepts and troubleshooting
● Automation: Bash or Python or Golang
● CI/CD & Config Management: Jenkin, Ansible, ArgoCD, Helm, Chef/Puppet, Git/GitHub
● Infra as a Code: Terraform
● Platform: Docker, K8s, VMs
● Databases: MySQL, PostgreSql, DataStore (Mongo, Redis, AeroSpike) good to have
● Security: Vulnerability Management and Golden Image
● Cloud: Deep working knowledge on any public cloud (GCP preferable)
● Monitoring Tools: Prometheus, Grafana, NewRelic

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
Photos
Connect with the team
Company social profiles
Similar jobs
REVIEW CRITERIA:
MANDATORY:
- Strong Senior/Lead DevOps Engineer Profile
- Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
- Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
- Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
- Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
- Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
- Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
- Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
- Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
- Its an IC role
PREFERRED:
- Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
- Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
- Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Candidates from NCR region only (No outstation candidates).
ROLES AND RESPONSIBILITIES:
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.
KEY RESPONSIBILITIES:
Cloud & Infrastructure as Code (IaC)-
- Architect and manage AWS environments ensuring scalability, security, and high availability.
- Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
- Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.
CI/CD & Automation:
- Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
- Automate deployments, provisioning, and monitoring across environments.
Containers & Orchestration:
- Deploy and operate workloads on Docker and Kubernetes (EKS).
- Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
- Optimize performance of containerized and microservices applications.
Monitoring & Reliability:
- Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Establish logging, alerting, and proactive monitoring for high availability.
Security & Compliance:
- Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
- Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
- Configure VPNs, firewalls, and secure access policies and AWS organizations.
Databases & Analytics:
- Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Manage data reliability, performance tuning, and cloud-native integrations.
- Experience with Apache Airflow and Spark.
IDEAL CANDIDATE:
- 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
- Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
- Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
- Proven ability with CI/CD pipeline automation and DevSecOps practices.
- Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
- Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Strong scripting skills (Shell/bash, Python, or similar) for automation.
- Bachelor / Master’s degree
- Effective communication skills
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Role & Responsibilities
- Develop and deliver automation software to build and improve platform functionality
- Ensure reliability, availability, and manageability of applications and cloud platforms
- Champion adoption of Infrastructure as Code (IaC) practices
- Design and build self-service, self-healing, monitoring, and alerting platforms
- Automate development and testing workflows through CI/CD pipelines (Git, Jenkins, SonarQube, Artifactory, Docker containers)
- Build and manage container hosting platforms using Kubernetes
Requirements
- Strong experience deploying and maintaining GCP cloud infrastructure
- Well-versed in service-oriented and cloud-based architecture design patterns
- Knowledge of cloud services including compute, storage, networking, messaging, and automation tools (e.g., CloudFormation/Terraform equivalents)
- Experience with relational and NoSQL databases (Postgres, Cassandra)
- Hands-on experience with automation/configuration tools (Puppet, Chef, Ansible, Terraform)
Additional Skills
- Strong Linux system administration and troubleshooting skills
- Programming/scripting exposure (Bash, Python, Core Java, or Scala)
- CI/CD pipeline experience (Jenkins, Git, Maven, etc.)
- Experience integrating solutions in multi-region environments
- Familiarity with Agile/Scrum/DevOps methodologies
About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
- Write scripts to optimize and maintain workflows.
Monitoring & Logging:
- Implement and maintain monitoring solutions to ensure system health and performance.
- Analyze logs and metrics to troubleshoot and resolve issues.
Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with serverless architectures and microservices.
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
●Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking
● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.
● Ensuring scaled database setup/monitoring with near zero downtime
Hands on experience in:
- Deploying, managing, securing and patching enterprise applications on large scale in Cloud preferably AWS.
- Experience leading End-to-end DevOps projects with modern tools encompassing both Applications and Infrastructure
- AWS Code deploy, Code build, Jenkins, Sonarqube.
- Incident management and root cause analysis.
- Strong understanding of immutable infrastructure and infrastructure as code concepts. Participate in capacity planning and provisioning of new resources. Importing already deployed infra into IaaC.
- Utilizing AWS cloud services such as EC2, S3, IAM, Route53, RDS, VPC, NAT/IG Gateway, LAMBDA, Load Balancers, CloudWatch, API Gateway are some of them.
- AWS ECS managing multi cluster container environments (ECS with EC2 and Fargate with service discovery using Route53)
- Monitoring/analytics tools like Nagios/DataDog and logging tools like LogStash/SumoLogic
- Simple Notification Service (SNS)
- Version Control System: Git, Gitlab, Bitbucket
- Participate in Security Audit of Cloud Infrastructure.
- Exceptional documentation and communication skills.
- Ready to work in Shift
- Knowledge of Akamai is Plus.
- Microsoft Azure is Plus
- Adobe AEM is plus.
- AWS Certified DevOps Professional is plus
DevOps Engineer, Plum & Empuls
As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.
Key Responsibilities
- Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Working on Docker images and maintaining Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Working on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
- Required Technical and Professional Expertise.
- Minimum 4-6 years of experience in IT industry.
- Expertise in implementing and managing Devops CI/CD pipeline.
- Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
- Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
- Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience with working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience and well versed with Jira tool is a plus.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, San Francisco, and Dublin. Empuls works with over 100 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status
At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time.
SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations.
Day to day responsibilities include:
- Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
- Work on Linux/Unix OS and Multi tech application patching
- Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
- Create and modify scripts or applications to perform tasks
- Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
- Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it.
- Managing release of the sprint.
- Educating team of the best practices.
- Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
- Implementing cost effective measure on cloud and minimizing existing costs.
Skills and prerequisites
- OOPS knowledge
- Problem solving nature
- Willing to do the R&D
- Works with the team and support their queries patiently
- Bringing new things on the table - staying updated
- Pushing solution above a problem.
- Willing to learn and experiment
- Techie at heart
- Git basics
- Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
- Basic Linux handling
- Docker and orchestration (Great to have)
- Scripting – python (preferably)/bash
We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.
You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge.
We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.










