Devops Engineer

We are looking for a DevOps / Site Reliability Engineer (L5) to own and scale the production reliability of a large-scale, AI-first platform. You will be responsible for running mission-critical workloads on cloud infrastructure, hardening Kubernetes-based systems, and ensuring high availability, performance, and cost efficiency across platform and AI services.

This role is deeply hands-on and ownership-driven. You will be trusted to run day-2 production systems end-to-end, lead incident response, and continuously raise the reliability bar for AI and data-intensive workloads.

At Proximity, you won’t just keep systems running — you’ll shape how reliability, observability, and operational excellence are built into the platform from the ground up.

Responsibilities

• Own day-2 production operations of a large-scale, AI-first platform running on cloud infrastructure
• Run, scale, and harden Kubernetes-based workloads integrated with a broad set of managed cloud services across data, messaging, AI, networking, and security
• Define, implement, and operate SLIs, SLOs, and error budgets across core platform and AI services
• Build and own observability end-to-end, including:
• APM
• Infrastructure monitoring
• Logs, alerts, and operational dashboards
• Improve and maintain CI/CD pipelines and Terraform-driven infrastructure automation
• Operate and integrate AI platform services for LLM deployments and model lifecycle management
• Lead incident response, conduct blameless postmortems, and drive systemic reliability improvements
• Optimize cost, performance, and autoscaling for AI, ML, and data-intensive workloads
• Partner closely with backend, data, and ML engineers to ensure production readiness and operational best practices

What Matters (Non-Negotiable Alignment)

Infra owners, not operators.

This role is for engineers who design, build, and own infrastructure, not those limited to ticket-based operations.

• Built and operated production-grade cloud infrastructure end-to-end
• Strong Kubernetes experience in real, high-traffic production environments
• AWS experience is mandatory, with GCP as a strong plus
• Experience operating AI / ML workloads in production
• Including GPU-based systems
• Strong ownership of CI/CD systems and Infrastructure as Code
• End-to-end observability ownership
• Monitoring, logging, alerting, dashboards
• Comfortable making infrastructure decisions under ambiguity
• Proven ability to collaborate deeply with ML and backend teams to take systems from design → production → scale

Requirements

• 6+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles.
• Strong, production-grade experience with cloud platforms
• AWS required
• GCP strongly preferred, especially Kubernetes and managed services
• Proven expertise running Kubernetes at scale in live production environments.
• Deep hands-on experience with New Relic in complex, distributed systems.
• Experience operating AI/ML or LLM-driven platforms in production environments.
• Solid background in Terraform, CI/CD systems, cloud networking, and security fundamentals.
• Strong understanding of reliability engineering principles, including capacity planning, failure modes, and resilience patterns.
• Comfortable owning production systems end-to-end with minimal supervision.
• Strong communication skills and the ability to operate calmly and effectively during incidents.
• Experience building internal platform tooling for developer productivity.

Desired Skills

• Experience managing multi-cloud environments or cross-cloud integrations.
• Familiarity with cost optimization strategies for large-scale Kubernetes and AI workloads.
• Exposure to service meshes, advanced traffic management, or zero-trust security models.

Benefits

• Best in class compensation: We hire only the best, and we pay accordingly.
• Proximity Talks: Learn from senior engineers, platform leaders, and industry experts.
• Work on real-world AI systems: Operate and scale production AI platforms used at meaningful scale.
• Continuous learning: Grow alongside a high-caliber team that values operational excellence and engineering rigor.

About us

We are Proximity — a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge technology at scale.

Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be significant. You’ll work with experienced leaders who have built and led high-performing tech and platform teams.

Sr.DevOps Engineer (5 to 8 yrs. Exp.)

Location: Ahmedabad

• Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
• Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
• Strong Experience in Jenkins & AWS Native CI/CD implementation using code
• Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
• Day to Day AWS Cloud administration tasks
• Strong Experience in Configuration management using Ansible and PowerShell.
• Strong Experience in Linux and any scripting language must required.
• Knowledge of Monitoring tool will be added advantage.
• Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
• Hands on with application deployment process

Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes

Role: Software Developer

Industry Type: IT-Software, Software Services

FunctionalArea:ITSoftware- Application Programming, Maintenance

Employment Type: Full Time, Permanent

Education: Any computer graduate.

DevOps Consultant 

Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)

Key Skills / Requirements:

• Mandatory
• Integrating Jenkins pipelines with Terraform and Kubernetes
• Writing Jenkins JobDSL and Jenkinsfiles using Groovy
• Automation and integration with AWS using Python and AWS CLI
• Writing ad-hoc automation scripts using Bash and Python
• Configuring container-based application deployment to Kubernetes
• Git and branching strategies
• Integration of tests in pipelines
• Build and release management
• Deployment strategies (eg. canary, blue/green)
• TLS/SSL certificate management
• Beneficial
• Service Mesh
• Deployment of Java Spring Boot based applications
• Automated credential rotation using AWS Secrets Manager
• Log management and dashboard creation using Splunk
• Application monitoring using AppDynamics

If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud

Regards,
Anitha. K
TAG Specialist

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

• 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code. 
• Advanced Linux system administration abilities. 
• Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus. 
• Experience with managing production environments on AWS or GCP. 
• Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus. 
• Experience on any configuration management tools like Ansible, Puppet or Chef is a must. 
• Experience in any one of the scripting languages: Shell, Python, etc. 
• Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must. 
• Solid understanding of SSL and DNS. 
• Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc. 
• Basic understanding of networking concepts.
• Always adhere to security best practices.
• Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.  
• Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage. 

What you get to do 

• Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments 
• Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues 
• Continuously improve Conviva SaaS services and infrastructure for availability, performance and security 
• Implement security best practices – primarily patching of operating systems and applications 
• Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
• Participate in 12x7 on-call rotations 
• Work with third party service/support providers for installations, support related calls, problem resolutions etc. 

• Defining and documenting best practices and strategies regarding application deployment and infrastructure maintenance
• Providing guidance, thought leadership and mentorship to development teams to build cloud competencies
• Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Managing cloud environments in accordance with company security guidelines
• Developing and implementing technical efforts to design, build and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
• Participating in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
• Troubleshooting incidents, identifying root cause, fixing and documenting problems and implementing preventive measures
• Educating teams on the implementation of new cloud-based initiatives, providing associated training as required

Desired Candidate Profile

• Bachelor’s degree in computer science, information technology
• 2+ years of experience as architect, designing, developing, and implementing cloud solutions on AWS platforms
• Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytic
• Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists and subject matter experts
• Self-motivation with the ability to drive features to delivery
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly
• AWS certifications are a plus
• Knowledge of web services, API, REST, and RPC    

Role 

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.

This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.

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 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)

• Extensive experience with web servers such as Nginx/Apache

• 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.

1. GCP Cloud experience mandatory
2. CICD - Azure DevOps
3. IaC tools – Terraform
4. Experience with IAM / Access Management within cloud
5. Networking / Firewalls
6. Kubernetes / Helm / Istio

What you do :

• Developing automation for the various deployments core to our business
• Documenting run books for various processes / improving knowledge bases
• Identifying technical issues, communicating and recommending solutions
• Miscellaneous support (user account, VPN, network, etc)
• Develop continuous integration / deployment strategies
• Production systems deployment/monitoring/optimization

• Management of staging/development environments

What you know :

• Ability to work with a wide variety of open source technologies and tools
• Ability to code/script (Python, Ruby, Bash)
• Experience with systems and IT operations
• Comfortable with frequent incremental code testing and deployment
• Strong grasp of automation tools (Chef, Packer, Ansible, or others)
• Experience with cloud infrastructure and bare-metal systems
• Experience optimizing infrastructure for high availability and low latencies
• Experience with instrumenting systems for monitoring and reporting purposes
• Well versed in software configuration management systems (git, others)
• Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment

• Data management skills

Education :

• Degree in Computer Engineering or Computer Science
• 1-3 years of equivalent experience in DevOps roles.
• Work conducted is focused on business outcomes
• Can work in an environment with a high level of autonomy (at the individual and team level)

• Comfortable working in an open, collaborative environment, reaching across functional.

Our Offering :

• True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.

• The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.

Perks :

• Awesome benefits, social gatherings, etc.
• Work with intelligent, fun and interesting people in a dynamic start-up environment.