DevOps Engineer – Cloud Infrastructure & Kafka

Experience: 8+ years (including 5+ years hands-on with Apache Kafka platform engineering)

Key Responsibilities

• Manage Kafka cluster lifecycle: provisioning, configuration tuning, upgrades, and decommissioning

• Deploy, operate, and maintain Kafka on Kubernetes using Confluent for Kubernetes (CFK)

• Monitor cluster health and set up alerting across consumer lag, broker health, and topic throughput

• Design and operate disaster recovery and multi-region replication strategies

• Enforce Kafka security policies including access reviews and ACL management

• Troubleshoot performance bottlenecks, consumer lag issues, and broker failures

Must Have

• 8+ years in messaging/streaming platform engineering, with 5+ years on Apache Kafka platform engineering

• Hands-on administration of self-managed on-premises Kafka clusters in KRaft mode

• Confluent for Kubernetes (CFK): operator management and custom resource configuration

• Kafka Connect: connector lifecycle, SMTs, and error handling

• Confluent Schema Registry; schema evolution and compatibility modes

• Kafka security: TLS/mTLS, SASL, and ACL configuration and troubleshooting

• Proficiency in Java or Scala; Python for scripting and tooling

• Observability: Prometheus, Grafana, and OpenTelemetry

Good to Have

• Apache Flink for complex event processing beyond Kafka Streams

• CDC pipelines into Kafka

• Operational experience with MirrorMaker 2 or Confluent Replicator in multi-DC setups

• Knowledge of event-driven architecture or data mesh principles

• Build and maintain infrastructure-as-code for Kafka resources

• Integrate Kafka platform changes with CI/CD pipelines for topic and schema deployments

AWS / Kubernetes / OpenShift / Linux –

Location: Bangalore

Experience: 7–10 Years

Mandatory Skills:

• Strong hands-on experience with AWS
• Experience in Kubernetes & OpenShift
• Strong knowledge of Linux administration
• Experience with Docker & containerization
• Knowledge of CI/CD pipelines and DevOps practices
• Troubleshooting, monitoring, and deployment experience

Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift

We're seeking an experienced Engineer to join our engineering team, handling massive-scale data processing and analytics infrastructure that supports over 1B daily events, 3M+ DAU, and 50k+ hours of content. The ideal candidate will bridge the gap between raw data collection and actionable insights, while supporting our ML initiatives.

Key Responsibilities

• Lead and scale the Infrastructure Pod, setting technical direction for data, platform, and DevOps initiatives.
• Architect and evolve our cloud infrastructure to support 1B+ daily events — ensuring reliability, scalability, and cost efficiency.
• Collaborate with Data Engineering and ML pods to build high-performance pipelines and real-time analytics systems.
• Define and implement SLOs, observability standards, and best practices for uptime, latency, and data reliability.
• Mentor and grow engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Partner with leadership on long-term architecture and scaling strategy — from infrastructure cost optimization to multi-region availability.
• Lead initiatives on infrastructure automation, deployment pipelines, and platform abstractions to improve developer velocity.
• Own security, compliance, and governance across infrastructure and data systems.

Who You Are

• Previously a Tech Co-founder / Founding Engineer / First Infra Hire who scaled a product from early MVP to significant user or data scale.
• 5–12 years of total experience, with at least 2+ years in leadership or team-building roles.
• Deep experience with cloud infrastructure (AWS/GCP), 
• Experience with containers (Docker, Kubernetes), and IaC tools (Terraform, Pulumi, or CDK).
• Hands-on expertise in data-intensive systems, streaming (Kafka, RabbitMQ, Spark Streaming), and distributed architecture design.
• Proven experience building scalable CI/CD pipelines, observability stacks (Prometheus, Grafana, ELK), and infrastructure for data and ML workloads.
• Comfortable being hands-on when needed — reviewing design docs, debugging issues, or optimizing infrastructure.
• Strong system design and problem-solving skills; understands trade-offs between speed, cost, and scalability.
• Passionate about building teams, not just systems — can recruit, mentor, and inspire engineers.

Preferred Skills

• Experience managing infra-heavy or data-focused teams.
• Familiarity with real-time streaming architectures.
• Exposure to ML infrastructure, data governance, or feature stores.
• Prior experience in the OTT / streaming / consumer platform domain is a plus.
• Contributions to open-source infra/data tools or strong engineering community presence.

What We Offer

• Opportunity to build and scale infrastructure from the ground up, with full ownership and autonomy.
• High-impact leadership role shaping our data and platform backbone.
• Competitive compensation + ESOPs.
• Continuous learning budget and certification support.
• A team that values velocity, clarity, and craftsmanship.

Success Metrics

• Reduction in infra cost per active user and event processed.
• Increase in developer velocity (faster pipeline deployments, reduced MTTR).
• High system availability and data reliability SLAs met.
• Successful rollout of infra automation and observability frameworks.
• Team growth, retention, and technical quality.

Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.

What you'll do:

• Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
• Containerize apps with Docker, deploy on Kubernetes clusters
• Manage infrastructure as code (Terraform, CloudFormation)
• Set up monitoring (Prometheus, Grafana, ELK Stack)
• Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
• Optimize costs and performance for live production systems

What we need:

• Basic Python/Bash scripting
• Docker basics, Git workflows
• Cloud exposure (AWS/GCP/Azure free tier projects)
• Problem-solving mindset, eagerness to learn

Real impact:

• Deploy apps used by 1000+ daily users
• Work with senior DevOps engineers on client deliverables
• Build portfolio for FAANG-level interviews

Job Summary

We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.

Mandatory Skills

• Strong experience in Linux administration and troubleshooting.
• Hands-on experience with Git and version control systems.
• Strong knowledge of CI/CD pipelines and automation.
• Experience with Docker and containerization.
• Hands-on experience with Kubernetes and/or OpenShift.
• Cloud experience with AWS and/or Microsoft Azure.
• Infrastructure as Code (IaC) using Terraform.
• Scripting experience using Python and Shell scripting.
• Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.

Additional Skills

• Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
• Understanding of networking concepts and troubleshooting.
• Exposure to AIOps and intelligent monitoring solutions.
• Experience with certificate management and secrets management.
• Knowledge of infrastructure automation, deployment, and performance monitoring.
• Strong troubleshooting, problem-solving, and collaboration skills.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
• Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage cloud infrastructure across AWS and/or Azure.
• Develop automation scripts using Python and Shell.
• Implement monitoring, logging, and observability solutions.
• Integrate security practices into DevOps workflows and CI/CD pipelines.
• Manage certificates, secrets, and secure access to infrastructure and applications.
• Troubleshoot infrastructure, application, networking, and deployment issues.
• Improve system reliability, scalability, security, and operational efficiency.

Job Description: DevOps Engineer – Terraform + GCP

Experience: 5+ Years

Locations: Bangalore / Hyderabad

Key Responsibilities:

• Set up, configure, and manage cloud infrastructure on Google Cloud Platform (GCP).
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Handle infrastructure provisioning, deployment, and configuration management.
• Perform product installation, setup, configuration, and environment readiness.
• Manage GCP services, compute instances, networking, storage, and access permissions.
• Troubleshoot infrastructure, installation, and deployment-related issues.
• Automate infrastructure provisioning and repetitive operational tasks using scripts.
• Monitor infrastructure performance, availability, and reliability.
• Collaborate with development and operations teams to support deployments and production environments.

Mandatory Skills:

• Hands-on experience with Terraform.
• Strong experience with Google Cloud Platform (GCP).
• Infrastructure setup and provisioning.
• Product installation and configuration.
• Cloud infrastructure troubleshooting.

Preferred Skills:

• Linux administration and shell scripting.
• CI/CD tools and deployment automation.
• Cloud monitoring and logging.
• Infrastructure maintenance and operational support.

Required Experience: 5+ years in DevOps / Cloud Infrastructure.

We’re seeking a highly skilled, execution-focused Senior Backend Engineer with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities—

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews. 

Requirements—

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits—

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

We are seeking a highly skilled and experienced DevOps Engineer to join our development team.

Years of experience needed: 8+ Yrs

Required Skills

Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker

Proficiency in various deployment strategies and CI/CD pipeline setups

Solid understanding of Linux administration and Windows IIS.

Advanced scripting skills in bash and PowerShell

Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers

Familiarity with Autosys for job scheduling and automation

Excellent problem-solving and troubleshooting skills

Ability to work independently and collaboratively in a fast-paced environment

• • Strong communication and interpersonal skills.

Role Overview

We are looking for a Senior and Lead Java Backend Engineer with strong experience in Apache Kafka and Kafka Streams, along with Java, Spring Boot, and Microservices. The candidate will build and support scalable, event-driven backend applications and work with containerization and cloud technologies.

Required Skills

Java

Spring Boot

Microservices architecture

Apache Kafka — topics, partitions, producers, consumers, and message-processing guarantees

Kafka Streams — stream processing, joins, windowing, and stateful aggregations

Docker

Kubernetes

AWS

Key Responsibilities

Develop and maintain backend services using Java, Spring Boot, and Microservices.

Build and support event-driven applications using Apache Kafka and Kafka Streams.

Design and maintain Kafka topics, partitions, producers, and consumers based on application needs.

Implement stream-processing logic, including joins, windowing, and aggregations.

Troubleshoot performance, reliability, and message-processing issues in distributed applications.

Package and deploy applications using Docker and Kubernetes, and support deployments on AWS.

Collaborate with engineering teams to deliver reliable, scalable backend solutions.

This job is Remote India only

Experience: 4+ Years 

Job Title: DevOps Engineer / Cloud Engineer 

Job Summary 

We are looking for an experienced DevOps & Cloud Engineer with 4+ years of experience in cloud infrastructure management, Kubernetes administration, CI/CD pipeline automation, and containerization. The ideal candidate should have hands-on experience with Azure cloud services, Azure Kubernetes Service (AKS), Azure DevOps, Jenkins, Docker, Terraform, and infrastructure automation. 

The candidate will be responsible for managing cloud environments, automating application deployments, maintaining Kubernetes clusters, monitoring system performance, and ensuring the reliability, scalability, security, and availability of applications across development, testing, and production environments. 

Key Responsibilities 

• Design, deploy, and manage cloud infrastructure using Microsoft Azure services, including Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults, and Resource Groups. 
• Manage and administer Azure Kubernetes Service (AKS), Azure Arc-enabled Kubernetes, and Kubernetes clusters. 
• Develop, configure, and maintain CI/CD pipelines using Azure DevOps and Jenkins for automated application builds, testing, and deployments. 
• Containerize applications using Docker and deploy microservices-based applications on Kubernetes. 
• Manage Kubernetes resources, including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, and Namespaces. 
• Automate infrastructure provisioning and configuration management using Terraform, Ansible, and Infrastructure as Code (IaC) practices. 
• Implement Kubernetes networking, load balancing, Role-Based Access Control (RBAC), autoscaling, and resource optimization. 
• Monitor infrastructure and application performance using Prometheus and Grafana. 
• Troubleshoot application, deployment, networking, container, and infrastructure-related issues and perform root cause analysis. 
• Implement disaster recovery procedures, backup validation, failover testing, patch management, and environment upgrades. 
• Manage source code repositories, branching strategies, pull requests, code merges, and version control using Git, GitHub, and Azure Repos. 
• Maintain cloud infrastructure security, compliance, governance, high availability, and operational reliability. 
• Collaborate with development, infrastructure, and security teams to implement DevOps best practices and improve deployment efficiency. 

Mandatory Technical Skills 

1. Cloud Platforms: Microsoft Azure, Azure Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults. 
2. Containerization & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS). 
3. CI/CD & Automation: Azure DevOps, Jenkins, CI/CD pipeline development and maintenance. 
4. Infrastructure as Code: Terraform; exposure to Ansible and automated configuration management. 
5. Monitoring & Version Control: Prometheus, Grafana, Git, GitHub, Azure Repos. 

Preferred Skills 

• Azure Arc-enabled Kubernetes. 
• VMware Tanzu Kubernetes Grid (TKG). 
• Kubernetes Service Mesh, Ingress Controllers, and Horizontal Pod Autoscaling (HPA). 
• RHEL Linux administration and Shell Scripting. 
• Groovy scripting and SQL fundamentals. 
• Disaster recovery, incident management, and production support. 
• Experience supporting microservices architectures and application migration activities. 

Qualifications 

• Bachelor’s degree in Engineering (B.E.) or an equivalent qualification. 
• 4+ years of experience in DevOps engineering, cloud infrastructure, Kubernetes administration, and deployment automation. 
• Strong troubleshooting, analytical, and problem-solving skills. 
• Ability to work collaboratively with cross-functional teams and manage infrastructure-related incidents. 

Key Deliverables 

• Reliable, scalable, and secure cloud infrastructure. 
• Automated and efficient CI/CD pipelines. 
• Stable Kubernetes clusters and containerized application deployments. 
• Reduced infrastructure provisioning and deployment time through automation. 
• Effective monitoring, incident resolution, and disaster recovery readiness.