DevOps Engineer

🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀

📍 Location: Pune (Hybrid)

💼 Experience: 5+ Years

🕒 Mode of Work: Hybrid

Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.

🔹 Key Skills Required:

✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)

✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines

✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes

✅ Incident Management: Quick issue resolution and RCA

✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging

✅ Programming: Proficiency in Python, Golang

✅ Performance Optimization: Identifying and resolving system bottlenecks

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.

Job Summary:

We are looking for a highly skilled and experienced DevOps Engineer who will be responsible for the deployment, configuration, and troubleshooting of various infrastructure and application environments. The candidate must have a proficient understanding of CI/CD pipelines, container orchestration, and cloud services, with experience in AWS services like EKS, EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment. The DevOps Engineer will be responsible for monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration, among other tasks. They will also work with application teams on infrastructure design and issues, and architect solutions to optimally meet business needs.

Responsibilities:

• Deploy, configure, and troubleshoot various infrastructure and application environments
• Work with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment
• Monitor, automate, troubleshoot, secure, maintain users, and report on infrastructure and applications
• Collaborate with application teams on infrastructure design and issues
• Architect solutions that optimally meet business needs
• Implement CI/CD pipelines and automate deployment processes
• Disaster recovery and infrastructure restoration
• Restore/Recovery operations from backups
• Automate routine tasks
• Execute company initiatives in the infrastructure space
• Expertise with observability tools like ELK, Prometheus, Grafana , Loki

Qualifications:

• Proficient understanding of CI/CD pipelines, container orchestration, and various cloud services
• Experience with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc.
• Experience in monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration
• Experience in architecting solutions that optimally meet business needs
• Experience with scripting languages (e.g., Shell, Python) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
• Strong understanding of system concepts like high availability, scalability, and redundancy
• Ability to work with application teams on infrastructure design and issues
• Excellent problem-solving and troubleshooting skills
• Experience with automation of routine tasks
• Good communication and interpersonal skills

Education and Experience:

• Bachelor's degree in Computer Science or a related field
• 5 to 10 years of experience as a DevOps Engineer or in a related role
• Experience with observability tools like ELK, Prometheus, Grafana

Working Conditions:

The DevOps Engineer will work in a fast-paced environment, collaborating with various application teams, stakeholders, and management. They will work both independently and in teams, and they may need to work extended hours or be on call to handle infrastructure emergencies.

Note: This is a remote role. The team member is expected to be in the Bangalore office for one week each quarter.

We are seeking a skilled DevOps Engineer with 3+ years of experience to join our team on a permanent work-from-home basis.

Responsibilities:

• Develop and maintain infrastructure using Ansible.
• Write Ansible playbooks.
• Implement CI/CD pipelines.
• Manage GitLab repositories.
• Monitor and troubleshoot infrastructure issues.
• Ensure security and compliance.
• Document best practices.

Qualifications:

• Proven DevOps experience.
• Expertise with Ansible and CI/CD pipelines.
• Proficient with GitLab.
• Strong scripting skills.
• Excellent problem-solving and communication skills.

Regards,

Aishwarya M

Associate HR

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