Sr. Devops Engineer

Immediate Hiring: GCP DevOps Engineer | Mumbai & Bengaluru (On-site)

OpsTree Global is urgently hiring a GCP DevOps Engineer with 4–9 years of experience for immediate requirements in Mumbai and Bengaluru.

Key Skills

• Google Cloud Platform (GCP)
• Terraform / Infrastructure as Code (IaC)
• Kubernetes & Helm Charts
• CI/CD – Jenkins, GitLab CI, GitHub Actions
• Linux Administration
• Scripting – Python / Go / Java
• 
  

Role Responsibilities

• Build and manage scalable cloud infrastructure on GCP
• Automate deployments and infrastructure provisioning
• Ensure system reliability, monitoring, and performance optimization
• Collaborate with development and operations teams for seamless delivery

📍 Locations: Mumbai & Bengaluru (On-site)

⚡ Immediate Joiners Preferred

💼 Experience: 4–9 Years

Strong Lead DevOps / Infrastructure Engineer Profiles.

Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.

Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization

Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.

Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.

Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.

Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.

Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.

Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.

Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.

Mandatory (Education) –B.E/ B.Tech

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Job Title: AWS DevOps Engineer

Experience Level: 5+ Years

Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon

Summary:

We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.

Key Responsibilities:

• Provision AWS infrastructure using Terraform (IaC).
• Manage and troubleshoot Kubernetes clusters (EKS/ECS).
• Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
• Support CI/CD pipelines using Jenkins and GitHub.
• Collaborate with teams to resolve infrastructure and deployment issues.
• Maintain documentation of infrastructure and operational procedures.

Required Skills:

• 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
• Strong Linux administration and troubleshooting skills.
• Experience managing Kubernetes clusters.
• Basic experience with CI/CD tools like Jenkins and GitHub.
• Good communication skills and a positive, team-oriented attitude.

Preferred:

• AWS Certification (e.g., Solutions Architect, DevOps Engineer).
• Exposure to Agile and DevOps practices.
• Experience with monitoring and logging tools.

Role & Responsiblities

• DevOps Engineer will be working with implementation and management of DevOps tools and technologies.
• Create and support advanced pipelines using Gitlab.
• Create and support advanced container and serverless environments.
• Deploy Cloud infrastructure using Terraform and cloud formation templates.
• Implement deployments to OpenShift Container Platform, Amazon ECS and EKS
• Troubleshoot containerized builds and deployments
• Implement processes and automations for migrating between OpenShift, AKS and EKS
• Implement CI/CD automations.
• 
  

Required Skillsets

• 3-5 years of cloud-based architecture software engineering experience.
• Deep understanding of Kubernetes and its architecture.
• Mastery of cloud security engineering tools, techniques, and procedures.
• Experience with AWS services such as Amazon S3, EKS, ECS, DynamoDB, AWS Lambda, API Gateway, etc.
• Experience with designing and supporting infrastructure via Infrastructure-as-Code in AWS, via CDK, CloudFormation Templates, Terraform or other toolset.
• Experienced with tools like Jenkins, Github, Puppet or other similar toolset.
• Experienced with monitoring functions like cloudwatch, newrelic, graphana, splunk, etc,
• Excellence in verbal and written communication, and in working collaboratively with a variety of colleagues and clients in a remote development environment.
• Proven track record in cloud computing systems and enterprise architecture and security

Job Overview:

You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.

Experience:

• Experience working on billing and budgets for a GCP project - MUST
• Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
• Experience in implementing the recommendations on GCP
• Architect Certifications on GCP - MUST
• Excellent communication skills (both verbal & written) - MUST
• Excellent documentation skills on processes and steps and instructions- MUST
• At least 2 years of experience on GCP.

Basic Qualifications:

• Bachelor’s/Master’s Degree in Engineering OR Equivalent.
• Extensive scripting or programming experience (Shell Script, Python).
• Extensive experience working with CI/CD (e.g. Jenkins).
• Extensive experience working with GCP, Azure, or Cloud Foundry.
• Experience working with databases (PostgreSQL, elastic search).
• Must have 2 years of minimum experience with GCP certification.

Benefits :

• Competitive salary.
• Work from anywhere.
• Learning and gaining experience rapidly.
• Reimbursement for basic working set up at home.
• Insurance (including top-up insurance for COVID).

Location :

Remote - work from anywhere.

Ideal joining preferences:
Immediate or 15 days

About the role:

We are seeking a highly skilled Azure DevOps Engineer with a strong background in backend development to join our rapidly growing team. The ideal candidate will have a minimum of 4 years of experience and has have extensive experience in building and maintaining CI/CD pipelines, automating deployment processes, and optimizing infrastructure on Azure. Additionally, expertise in backend technologies and development frameworks is required to collaborate effectively with the development team in delivering scalable and efficient solutions.

Responsibilities

• Collaborate with development and operations teams to implement continuous integration and deployment processes.
• Automate infrastructure provisioning, configuration management, and application deployment using tools such as Ansible, and Jenkins.
• Design, implement, and maintain Azure DevOps pipelines for continuous integration and continuous delivery (CI/CD)
• Develop and maintain build and deployment pipelines, ensuring that they are scalable, secure, and reliable.
• Monitor and maintain the health of the production infrastructure, including load balancers, databases, and application servers.
• Automate the software development and delivery lifecycle, including code building, testing, deployment, and release.
• Familiarity with Azure CLI, Azure REST APIs, Azure Resource Manager template, Azure billing/cost management and the Azure Management Console
• Must have experience of any one of the programming language (Java, .Net, Python )
• Ensure high availability of the production environment by implementing disaster recovery and business continuity plans.
• Build and maintain monitoring, alerting, and trending operational tools (CloudWatch, New Relic, Splunk, ELK, Grafana, Nagios).
• Stay up to date with new technologies and trends in DevOps and make recommendations for improvements to existing processes and infrastructure.
• ontribute to backend development projects, ensuring robust and scalable solutions.
• Work closely with the development team to understand application requirements and provide technical expertise in backend architecture.
• Design and implement database schemas.
• Identify and implement opportunities for performance optimization and scalability of backend systems.
• Participate in code reviews, architectural discussions, and sprint planning sessions.
• Stay updated with the latest Azure technologies, tools, and best practices to continuously improve our development and deployment processes.
•  
• Mentor junior team members and provide guidance and training on best practices in DevOps.

Required Qualifications

• BS/MS in Computer Science, Engineering, or a related field
• 4+ years of experience as an Azure DevOps Engineer (or similar role) with experience in backed development.
• Strong understanding of CI/CD principles and practices.
• Expertise in Azure DevOps services, including Azure Pipelines, Azure Repos, and Azure Boards.
• Experience with infrastructure automation tools like Terraform or Ansible.
• Proficient in scripting languages like PowerShell or Python.
• Experience with Linux and Windows server administration.
• Strong understanding of backend development principles and technologies.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Problem-solving and analytical skills.
• Experience with industry frameworks and methodologies: ITIL/Agile/Scrum/DevOps
• Excellent problem-solving, critical thinking, and communication skills.
• Have worked in a product based company.

What we offer:

• Competitive salary and benefits package
• Opportunity for growth and advancement within the company
• Collaborative, dynamic, and fun work environment
• Possibility to work with cutting-edge technologies and innovative projects

Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.

Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics

2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.

Job Location: Jaipur

Experience Required: Minimum 3 years

About the role:

As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here. 

Responsibilities:

• Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
• Ensuring availability, performance, security, and scalability of AWS production systems
• Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment. 
• Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
• Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
• 24x7 in shifts on call for Level 2 and higher escalations
• Respond to incidents and write blameless RCA’s/postmortems
• Implement and practice proper security controls and processes
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on platform.

Must have:  

• Minimum 3 Years of Experience in DevOps.  
• BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Strong inter-personal skills.
• Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
• Must have experience in Docker, Kubernetes, Amazon ECS or  Mesos
• Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
• Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
• Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.  
• In-depth knowledge of the Linux operating system and administration. 
• Production experience with a major cloud provider such Amazon AWS.
• Knowledge of web server technologies such as Nginx or Apache. 
• Knowledge of Redis, Memcache, or one of the many in-memory data stores.
• Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5. 
• Comfortable with large-scale, highly-available distributed systems.

Good to have:  

• Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
• Production experience with Hashicorp products such as Vault or Consul
• Expertise in designing, analyzing troubleshooting large-scale distributed systems.
• Experience in an PCI environment
• Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
• Experience maintaining and scaling database applications
• Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc. 
• Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
• Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs. 
• Experience in Kafka, RabbitMQ or any messaging bus.

Requirements

• Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.

• Communicate, collaborate and work effectively across distributed teams in a global environment

• Optimize performance and solve issues across the entire stack: hardware, software, application, and network.

• Experienced in building infrastructure with terraform / cloudformation or equivalent.
• Experience with ansible or equivalent is beneficial
• Ability to use a wide variety of Open Source Tools
• Experience  with AWS is a must.
• Minimum 5 years of running services in a large scale environment.
• Expert level understanding of Linux servers, specifically RHEL/CentOS.
• Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
• Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
• Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.

Look forward to

- Working with a world-class team.

- Fun & work at the same place with an amazing work culture and flexible timings.

- Get ready to transform yourself into a health junkie

Join HealthifyMe and make history!