DevOps

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Mumbai

Employment Type : Full-time

Job Overview :

We’re looking for an experienced DevOps Engineer to design, build, and manage Kubernetes-based deployments for a microservices data discovery platform.

The ideal candidate has strong hands-on expertise with Helm, Docker, CI/CD pipelines, and cloud networking — and can handle complex deployments across on-prem, cloud, and air-gapped environments.

Mandatory Skills :

✅ Helm, Kubernetes, Docker

✅ Jenkins, ArgoCD, GitOps

✅ Cloud Networking (VPCs, bare metal vs. VMs)

✅ Storage (MinIO, Ceph, NFS, S3/EBS)

✅ Air-gapped & multi-tenant deployments

Key Responsibilities :

• Build and customize Helm charts from scratch.
• Implement CI/CD pipelines using Jenkins, ArgoCD, GitOps.
• Manage containerized deployments across on-prem/cloud setups.
• Work on air-gapped and restricted environments.
• Optimize for scalability, monitoring, and security (Prometheus, Grafana, RBAC, HPA).

Job Summary :

We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

- Containerization & Orchestration using Kubernetes.

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

- Monitoring & Incident Management

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 6+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

About the company

The client is a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. They are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.

Founded by ex-Microsoft, 21 years & ex-Uber, Microsoft, Plaid founders, they are a 16-person team working on hard problems at the intersection of security, AI, and open source. 

Why this role is exciting 

They are at the forefront of supply chain security research and product development. They were the first to detect several major supply chain attacks in 2025 and 2026, including the axios npm compromise and tj-actions. Their research is regularly cited by Bloomberg, TechCrunch, Hacker News, and Dark Reading. The US Cybersecurity and Infrastructure Security Agency (CISA) has published advisories citing the company. 

Beyond their enterprise customers, the company has been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, and Datadog. 

This is a zero-to-one platform role. Today the AWS cost, service health visibility, and their release process are owned in pieces by engineers who are also shipping product. You will own all three end to end, as the first dedicated platform hire, with meaningful early-stage equity upside. 

Their stack 

GitHub.com for code repositories. GitHub Actions for CI/CD pipelines. AWS serverless for hosting our services: Lambda, API Gateway, DynamoDB, and S3. Backend services are written in Golang. 

What you'll do 

• Own AWS cost. Build real visibility into where our cloud spend goes, then drive it down. Put guardrails and anomaly alerting in place so cost regressions get caught in days, not at the end of the month. 
• Build service health visibility. Define and instrument the metrics that tell us whether the platform is healthy. Build the dashboards, set the SLOs, and wire up alerting that pages on real problems and stays quiet otherwise. 
• Own the release process. Design and implement how code gets from a pull request to production, including staged rollouts, rollback, release approvals, and change management that satisfies our enterprise customers and our ISO 27001 obligations without slowing engineers down. 
• Improve stability. Run infrastructure as code, tighten our incident response and on-call practices, and drive postmortems to actual fixes. 
• Secure our own pipelines. We sell CI/CD and cloud security, so our own build and deploy path should be the best reference implementation we have. You will run it that way. 

What we're looking for 

• 2 to 5 years of experience with strong engineering fundamentals. 
• Demonstrated AWS cost reduction. We want to hear what the spend was, what you did, and what it became. 
• Hands-on depth with AWS serverless in production, not just in theory. 
• Experience implementing metrics, dashboards, and alerting for service health, and evidence that it changed how the team operated. 
• Experience building or significantly improving CI/CD and release processes, ideally with GitHub Actions. 
• Comfortable writing code. Golang or Python, plus infrastructure as code. 
• An AI-native mindset, with prior hands-on experience building with or operating AI agents. 
• Early-stage startup experience. You are extremely hands-on and can drive a problem end to end without a team behind you. 
• A security background is a plus but not required. 

Applicants must read the JD and understand the JD throughly

Job Title: Database & DevOps Engineer

Location: Chennai, Tamil Nadu (On-site/Hybrid)

Experience: 2+ years -

Job Summary

We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.

Key Responsibilities

Database Management

• Install, configure, monitor, and maintain SQL and NoSQL databases.

• Manage database backup, recovery, replication, and disaster recovery.

• Optimise performance through indexing, query tuning, and monitoring.

• Ensure database security, integrity, and availability.

• Troubleshoot database issues and provide timely resolutions.

DevOps, Infrastructure & AI Operations

• Design, implement, and maintain CI/CD pipelines.

• Automate infrastructure provisioning using Infrastructure as Code tools.

• Deploy and manage applications across cloud and on-premises environments.

• Configure and maintain containerised applications using Docker and Kubernetes.

• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.

• Configure and manage GPU-enabled infrastructure for AI workloads.

• Support model serving, vector databases, and AI application APIs.

• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.

• Maintain Linux servers and automate routine operational tasks.

• Implement secure management of credentials, secrets, model endpoints, and data access.

• Collaborate with development and AI teams to streamline deployment and release processes.

Mandatory Skills

• 2+ years of hands-on experience in Database Administration and DevOps.

• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.

• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.

• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Experience with AWS, Azure, or GCP.

• Knowledge of Terraform and Ansible.

• Strong Linux administration and shell-scripting skills.

• Experience with Prometheus, Grafana, ELK Stack, or Nagios.

• Working knowledge of networking, security, SSL/TLS, and load balancing.

• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.

• Experience deploying Python-based AI/ML services and APIs.

• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.

• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.

• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.

• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.

Technical Stack

• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases

• Cloud: AWS, Azure, GCP.

• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps

• Containers and IaC: Docker, Kubernetes, Terraform, Ansible

• Monitoring: Prometheus, Grafana, ELK Stack, Nagios

• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA

• Operating Systems: Linux—Ubuntu, CentOS, Red Hat

Soft Skills

• Excellent communication and collaboration skills.

• Strong ownership and accountability.

• Ability to work effectively in a fast-paced Agile environment.

• Proactive approach to troubleshooting and continuous improvement.

• Ability to manage multiple priorities and deliver on time.

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

What You’ll Do:

We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.

Responsibilities:

● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)

● Build CI/CD pipelines using Jenkins and integrate them with Git workflows

● Design and manage Kubernetes clusters and helm-based deployments

● Manage infrastructure as code using Terraform

● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)

● Ensure security best practices across cloud resources, networks, and secrets

● Automate repetitive operations and improve system reliability

● Collaborate with developers to troubleshoot and resolve issues in staging/production environments

What We’re Looking For:

Required Skills:

● 1–3 years of hands-on experience in a DevOps or SRE role

● Strong knowledge of GCP services (IAM, GKE, Cloud Run, VPC, Cloud Build, etc.)

● Proficiency in Kubernetes (deployment, scaling, troubleshooting)

● Experience with Terraform for infrastructure provisioning

● CI/CD pipeline setup using Jenkins, GitHub Actions, or similar tools

● Understanding of DevSecOps principles and cloud security practices

● Good command over Linux, shell scripting, and basic networking concepts

Nice to have:

● Experience with Docker, Helm, ArgoCD

● Exposure to other cloud platforms (AWS, Azure)

● Familiarity with incident response and disaster recovery planning

● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana

We are looking for two Senior DevOps Engineer to join our Mumbai-based infrastructure team for a critical on-premises deployment project. This role is focused on transforming manual, legacy deployment practices into structured, secure, and compliant processes within a Windows-first, latency-sensitive environment.

The successful candidate will drive the creation of SOPs, deployment pipelines (without containerization), and a staging environment to support a hybrid stack of ASP.NET MVC (.NET), MS SQL Server (replication mode), and Java microservices with MySQL. This position requires on-site presence in Mumbai due to regulatory and infrastructure constraints and will play a key role in ensuring compliance with SEBI, RBI, PFMI, and IOSCO standards.

Key responsibility would be to lead deployment modernization efforts in a secure, on-premises environment based in Mumbai. The role involves working with legacy Windows infrastructure, ASP.NET MVC apps, MS SQL replication, and manual deployment processes. No containerization or CI/CD tools are in place, so we’re looking for someone who can establish automation and structure from the ground up.

Mandatory: On-site availability in Mumbai, strong experience with manual Windows-based deployments, regulatory compliance awareness (SEBI/RBI/PFMI).

Duration: 3-6 months | Immediate start

We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.

We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.

Responsibilities:

• Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
• Manage and maintain Kubernetes clusters on EKS and EC2 instances
• Implement and maintain automated CI/CD pipelines for microservices
• Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
• Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
• Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
• Implement backup and disaster recovery solutions for our microservices and databases
• Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
• Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
• Experience with large scale system design and scaling services is highly desirable

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• At least 5 years of experience in AWS DevOps and infrastructure engineering
• Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
• Experience with SOC2 compliance and vulnerability assessment best practices for microservices
• Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
• Strong scripting skills in languages like Python, Bash, and Go
• Excellent communication skills and the ability to work in a collaborative team environment
• Experience with agile development methodologies and DevOps practices
• AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.

Notice period : Can join within a month

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!