
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company. You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on the AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand-based
auto-scaling.
- Have on-call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high-level programming
languages.
- Extensive experience in any Javascript-based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.

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🚀 RECRUITING BOND HIRING
Role: CLOUD OPERATIONS & MONITORING ENGINEER - (THE GUARDIAN OF UPTIME)
⚡ THIS IS NOT A MONITORING ROLE
THIS IS A COMMAND ROLE
You don’t watch dashboards.
You control outcomes.
You don’t react to incidents.
You eliminate them before they escalate.
This role powers an AI-driven SaaS + IoT platform where:
---> Uptime is non-negotiable
---> Latency is hunted
---> Failures are never allowed to repeat
Incidents don’t grow.
Problems don’t hide.
Uptime is enforced.
🧠 WHAT YOU’LL OWN
(Real Work. Real Impact.)
🔍 Total Observability
---> Real-time visibility across cloud, application, database & infrastructure
---> High-signal dashboards (Grafana + cloud-native tools)
---> Performance trends tracked before growth breaks systems
🚨 Smart Alerting (No Noise)
---> Alerts that fire only when action is required
---> Zero false positives. Zero alert fatigue
Right signal → right person → right time
⚙ Automation as a Weapon
---> End-to-end automation of operational tasks
---> Standardized logging, metrics & alerting
---> Systems that scale without human friction
🧯 Incident Command & Reliability
---> First responder for critical incidents (on-call rotation)
---> Root cause analysis across network, app, DB & storage
Fix fast — then harden so it never breaks the same way again
📘 Operational Excellence
---> Battle-tested runbooks
---> Documentation that actually works under pressure
Every incident → a stronger platform
🛠️ TECHNOLOGIES YOU’LL MASTER
☁ Cloud: AWS | Azure | Google Cloud
📊 Monitoring: Grafana | Metrics | Traces | Logs
📡 Alerting: Production-grade alerting systems
🌐 Networking: DNS | Routing | Load Balancers | Security
🗄 Databases: Production systems under real pressure
⚙ DevOps: Automation | Reliability Engineering
🎯 WHO WE’RE LOOKING FOR
Engineers who take uptime personally.
You bring:
---> 3+ years in Cloud Ops / DevOps / SRE
---> Live production SaaS experience
---> Deep AWS / Azure / GCP expertise
---> Strong monitoring & alerting experience
---> Solid networking fundamentals
---> Calm, methodical incident response
---> Bonus (Highly Preferred):
---> B2B SaaS + IoT / hybrid platforms
---> Strong automation mindset
---> Engineers who think in systems, not tickets
💼 JOB DETAILS
📍 Bengaluru
🏢 Hybrid (WFH)
💰 (Final CTC depends on experience & interviews)
🌟 WHY THIS ROLE?
Most cloud teams manage uptime. We weaponize it.
Your work won’t just keep systems running — it will keep customers confident, operations flawless, and competitors wondering how it all works so smoothly.
📩 APPLY / REFER : 🔗 Know someone who lives for reliability, observability & cloud excellence?
Are you eager to kick-start your career in DevOps and learn the latest technologies to solve complex problems? Do you enjoy hands-on problem-solving, exploring cloud technologies, and supporting innovative solutions? At Aivar, we are looking for a DevOps Engineer to join our team.
In this role, you will assist in the implementation and support of DevOps practices, including containerization, orchestration, and CI/CD pipelines, while learning from industry experts.
This is an exciting opportunity to grow your skills and work on transformative projects in a collaborative environment.
Requirements
Preferred Technical Qualifications
- 2 – 5 years of experience in DevOps, system administration, or software development (internship experience is acceptable).
- Familiarity with container technologies such as Docker and Kubernetes.
- Understanding of Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
- Programming experience in Python, Java, or another language used in DevOps workflows.
- Understanding of cloud platforms such as AWS, Azure, or GCP
- Willingness to learn advanced Kubernetes concepts and troubleshooting techniques.Preferred Soft Skills
Collaboration Skills:
- Willingness to work in cross-functional teams and support the alignment of technical solutions with business goals.
- Eager to learn how to work effectively with customers, engineers, and architects to deliver DevOps solutions.
Effective Communication:
- Ability to communicate technical concepts clearly to team members and stakeholders.
- Desire to improve documentation and presentation skills to share ideas effectively.
Problem-Solving Mindset:
- Curiosity to explore and learn solutions for infrastructure challenges in DevOps environments.
- Interest in learning how to diagnose and resolve issues in containerized and
- distributed systems.
Adaptability and Continuous Learning:
- Strong desire to learn emerging DevOps tools and practices in a dynamic environment.
- Commitment to staying updated with trends in cloud computing, DevOps, and
Team-Oriented Approach:
- Enthusiastic about contributing to a collaborative team environment and supporting
- overall project goals.
- Open to feedback and actively sharing knowledge to help the team grow.
Certifications (Optional but Preferred)
- Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation
- certification
- Any beginner-level certifications in DevOps or cloud services are a plus.
- Any AWS Certification
Why Join Aivar?
At Aivar, we are re-imagining analytics consulting by integrating AI and machine learning to create repeatable solutions that deliver measurable business outcomes. With a culture centered on innovation, collaboration, and growth, we provide opportunities to work on transformative projects across industries.
About Diversity and Inclusion
We believe diversity drives innovation and growth. Our inclusive environment encourages individuals of all backgrounds to contribute their unique perspectives to shape the future and analytics.
Job Responsibilities:
- Managing and maintaining the efficient functioning of containerized applications and systems within an organization
- Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
- Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
- Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
- Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
- Ensure high availability, security, and scalability of infrastructure through automation and best practices
- Establish and enforce cloud security standards, policies, and procedures Work agile technologies
Primary Requirements:
- Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
- Linux/Unix: Proficiency in administering complex Linux infrastructures and services
- Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the
- knowledge of resource provisioning with Terraform or other Cloud-based utilities
- CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to
- manage the build, test, packaging, containerization and release processes of software
- Scripting & Automation: Strong scripting and process automation skills in Bash, Python
- Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
- Version Control: Proficient with Git and familiar with GitOps workflows.
- Security: Strong understanding of security best practices in cloud and containerized
- environments.
Skills/Traits that would be an advantage:
- Kubernetes administration experience, including installation, configuration, and troubleshooting
- Kubernetes development experience
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production 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, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 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 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
Key Responsibilities:
- Work with the development team to plan, execute and monitor deployments
- Capacity planning for product deployments
- Adopt best practices for deployment and monitoring systems
- Ensure the SLAs for performance, up time are met
- Constantly monitor systems, suggest changes to improve performance and decrease costs.
- Ensure the highest standards of security
Key Competencies (Functional):
- Proficiency in coding in atleast one scripting language - bash, Python, etc
- Has personally managed a fleet of servers (> 15)
- Understand different environments production, deployment and staging
- Worked in micro service / Service oriented architecture systems
- Has worked with automated deployment systems – Ansible / Chef / Puppet.
- Can write MySQL queries
Description
DevOps Engineer / SRE
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform etc
DevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
Excellent understanding of SDLC patching, releases and software development at scale.
Excellent knowledge of Git.
Excellent knowledge of Docker.
Good understanding of enterprise standards ond enterprise building principles,
In-depth knowledge in Windows OS
Knowledge of Linux os
Theoretical and practical skills in Web-environments based on .Net technologies, e.g. Ils,
Kestrel, .Net Core, C#.
Strong scripting skills in one or any combination of CMD Shell,Bash, PowerShell. Python.
Good understanding of the mechanisms of Web-environment architectures approaches.
Strong knowledge of cloud providers offering, Azure or AWS.
Good knowledge of a configuration management tools, Ansible, Chef, Salt stack, Puppet.
(Good to have)
Good knowledge of cloud infrastructure orchestration tools like kubemetes or cloud based orchestration.
Good knowledge in one or any combination of cloud infrastructure provisioning tools like
ARM Templates, Terraform, Pulumi.
In-depth knowledge in one or any combination of software delivery orchestration tools like Azure Pipelines, Jenkins Pipelines, Octopus Deploy, etc.
Strong practical knowledge of CI Tools, ie, Azure Devops, Jenkins Excellent knowledge of Continuous Integration and Delivery approaches
Good knowledge on integration of Code Quality tools like SonarQube, Application or Container Security tool like Vera Code, Checksum, Chekov, Trivy.
In-depth knowledge on Azure DevOps Build infrastructure setup, Azure DevOps
Administration and Access management
Skills:
- Strong working knowledge of AWS.
- Implements AWS cloud platform.
- Infrastructure as Code, GitLab CI/CD, and DevOps standard methodologies
- scripting in Shell, Python, Ruby or any preferred scripting language
Terraform expertise is a MUST for this role.
a short exercise on terraform to all shortlisted candidates to demonstrate their hands-on skills on terraform before rolling out the offer
Desired Profile
Providing expertise on all matters related to CI, CD and DevOps.
Building and maintaining highly available production systems.
Developing and maintaining release related documents, such as release plan, release notes etc.
Ensuring quality releases and managing release and configuration change conflicts to resolution.
Tracking release and publishing release notes. Investigating and resolving technical issues by deploying updates/ fixes.
Onboard applications to DevOps process.
Setup and configure build jobs.
Create automated deployment scripts.
Configure JIRA workflow, and integrate with Jenkins / Micro-services.
Qualification
Degree/Diploma in Computer Science, Engineering or related field and have previous experience as a DevOps Engineer.
AWS Certification will be a plus.
Experience of automation and provisioning approaches, using tools such as Terraform & Cloud Formation
Skillset Required
Solid experience within release management, infra architecture, CI&CD.
Highly goal driven and work well in fast paced environments.
Proven experience of using Jenkins, Unix Shell Commands, Container technology (Docker, Kubernetes),
Java Programming, Groovy Script, Git, Code Branching Strategy, Maven, Gradle, JIRA, ECS, OpenShift.
Job Description :
- The engineer should be highly motivated, able to work independently, work and guide other engineers within and outside the team.
- The engineer should possess varied software skills in Shell scripting, Linux, Oracle database, WebLogic, GIT, ANT, Hudson, Jenkins, Docker and Maven
- Work is super fun, non-routine, and, challenging, involving the application of advanced skills in area of specialization.
Key responsibilities :
- Design, develop, troubleshoot and debug software programs for Hudson monitoring, installing Cloud Software, Infra and cloud application usage monitoring.
Required Knowledge :
- Source Configuration management, Docker, Puppet, Ansible, Application and Server Monitoring, AWS, Database Administration, Kubernetes, Log monitoring, CI/CD, Design and implement build, deployment, and configuration management, Improve infrastructure development, Scripting language.
- Good written and verbal communication skills
Qualification :
Education and Experience : Bachelors/Masters in Computer Science
Open for 24- 7 shifts










