
● Manage AWS services and day to day cloud operations.
● Work closely with the development and QA team to make the deployment process
smooth and devise new tools and technologies in order to achieve automation of most
of the components.
● Strengthen the infrastructure in terms of Reliability (configuring HA etc.), Security (cloud
network management, VPC, etc.) and Scalability (configuring clusters, load balancers,
etc.)
● Expert level understanding of DB replication, Sharding (mySQL DB Systems), HA
clusters, Failovers and recovery mechanisms.
● Build and maintain CI-CD (continuous integration/deployment) workflows.
● Having an expert knowledge on AWS EC2, S3, RDS, Cloudfront and other AWS offered
services and products.
● Installation and management of software systems in order to support the development
team e.g. DB installation and administration, web servers, caching and other such
systems.
Requirements:
● B. Tech or Bachelor's in a related field.
● 2-5 years of hands-on experience with AWS cloud services such as EC2, ECS,
Cloudwatch, SQS, S3, CloudFront, route53.
● Experience with setting up CI-CD pipelines and successfully running large scale
systems.
● Experience with source control systems (SVN, GIT etc), Deployment and build
automation tools like Jenkins, Bamboo, Ansible etc.
● Good experience and understanding of Linux/Unix based systems and hands-on
experience working with them with respect to networking, security, administration.
● Atleast 1-2 years of experience with shell/python/perl scripting; having experience with
Bash scripting is an added advantage.
● Experience with automation tasks like, automated backups, configuring fail overs,
automating deployment related process is a must have.
● Good to have knowledge of setting up the ELK stack; Infrastructure as a code services
like Terraform; working and automating processes with AWS SDK/CLI tools with scripts

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🎓 Qualification: B.Tech (IT) / M.Tech (IT) only
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⏳ Shift: Willingness to work in night/rotational shifts
🗣 Communication: Excellent English
𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:
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- Support user account management activities using #Azure Entra ID (Azure AD), Active Directory, and Microsoft 365.
- Assist the IT team in configuring, monitoring, and supporting #AWS cloud services (EC2, S3, IAM, WorkSpaces).
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- Assist with backups, basic disaster recovery tasks, and security procedures as per company policies.
- Help create and update technical documentation and knowledge base articles.
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💻 Technical Requirements:
- Laptop with i5 or higher processor
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Role: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
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)
LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in query analysis, peformance tuning, database redesigning, Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
We're Hiring: DevOps Tech Lead with 7-9 Years of Experience! 🚀
Are you a seasoned DevOps professional with a passion for cloud technologies and automation? We have an exciting opportunity for a DevOps Tech Lead to join our dynamic team at our Gurgaon office.
🏢 ZoomOps Technolgy Solutions Private Limited
📍 Location: Gurgaon
💼 Full-time position
🔧 Key Skills & Requirements:
✔ 7-9 years of hands-on experience in DevOps roles
✔ Proficiency in Cloud Platforms like AWS, GCP, and Azure
✔ Strong background in Solution Architecture
✔ Expertise in writing Automation Scripts using Python and Bash
✔ Ability to manage IAC tools and CM tools like Terraform, Ansible, pulumi etc..
Responsibilities:
🔹 Lead and mentor the DevOps team, driving innovation and best practices
🔹 Design and implement robust CI/CD pipelines for seamless software delivery
🔹 Architect and optimize cloud infrastructure for scalability and efficiency
🔹 Automate manual processes to enhance system reliability and performance
🔹 Collaborate with cross-functional teams to drive continuous improvement
Join us to work on exciting projects and make a significant impact in the tech space!
Apply now and take the next step in your DevOps career!
Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.
YOU WILL:
- Plan for future infrastructure as well as maintain & optimize the existing infrastructure.
- Conceptualize, architect, and build:
- 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
- 2. Infrastructure using Docker, Kubernetes, and other serverless platforms;
- 3. Secured network utilizing VPCs with inputs from the security team.
- Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
- Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments.
- Triage release of applications/ Hotfixes to the production environment on a daily basis.
- Interface with developers and triage SQL queries that need to be executed in production environments.
- Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
- Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
- Scale Electum platform to handle millions of requests concurrently.
- Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery
PREREQUISITES:
- Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
- Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
- At least 2 years of experience in building and owning serverless infrastructure.
- At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
- Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
- Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
- Must have prior experience automating deployments to production and lower environments.
- Worked on providing solutions for major automation with scripts or infrastructure.
- Experience with APM tools such as DataDog and log management tools.
- Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
- Experience establishing and enforcing:
- 1. System monitoring tools and standards
- 2. Risk Assessment policies and standards
- 3. Escalation policies and standards
- Excellent DevOps engineering, team management, and collaboration skills.
- Advanced knowledge of programming languages such as Python and writing code and scripts.
- Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.
Experience: 8-10yrs
Notice Period: max 15days
Must-haves*
1. Knowledge about Database/NoSQL DB hosting fundamentals (RDS multi-AZ, DynamoDB, MongoDB, and such)
2. Knowledge of different storage platforms on AWS (EBS, EFS, FSx) - mounting persistent volumes with Docker Containers
3. In-depth knowledge of Security principles on AWS (WAF, DDoS, Security Groups, NACL's, IAM groups, and SSO)
4. Knowledge on CI/CD platforms is required (Jenkins, GitHub actions, etc.) - Migration of AWS Code pipelines to GitHub actions
5. Knowledge of vast variety of AWS services (SNS, SES, SQS, Athena, Kinesis, S3, ECS, EKS, etc.) is required
6. Knowledge on Infrastructure as Code tool is required We use Cloudformation. (Terraform is a plus), ideally, we would like to migrate to Terraform from CloudFormation
7. Setting CloudWatch Alarms and SMS/Email Slack alerts.
8. Some Knowledge on configuring any kind of monitoring tool such as Prometheus, Dynatrace, etc. (We currently use Datadog, CloudWatch)
9. Experience with any CDN provider configurations (Cloudflare, Fastly, or CloudFront)
10. Experience with either Python or Go scripting language.
11. Experience with Git branching strategy
12. Containers hosting knowledge on both Windows and Linux
The below list is *Nice to Have*
1. Integration experience with Code Quality tools (SonarQube, NetSparker, etc) with CI/CD
2. Kubernetes
3. CDN's other than CloudFront (Cloudflare, Fastly, etc)
4. Collaboration with multiple teams
5. GitOps
About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

Must Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems
Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database








