Sr.DevOps Engineer at B2B2C tech Web3 startup · Bangalore · 5 - 10 years · ₹30L - ₹50L / yr · Posted 23 Nov 2022
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery solutions
Regards
Team Merito

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We are looking for an experienced L2 GCP Cloud Infrastructure & Operations Engineer with strong hands-on experience managing, monitoring, and troubleshooting Google Cloud Platform infrastructure in a production environment.
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- Manage and troubleshoot GCP infrastructure, including Compute Engine VMs, disks, snapshots, and cloud resources.
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- Monitor infrastructure using Google Cloud Monitoring and Cloud Logging; investigate alerts and resolve service issues.
- Administer IAM roles, service accounts, permissions, and infrastructure security controls.
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- Automate infrastructure provisioning and operational tasks using Terraform, Ansible, Bash, or Python.
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- 3–6 years of experience in cloud infrastructure, cloud operations, or production support.
- Hands-on production experience with Google Cloud Platform (GCP).
- Strong knowledge of Compute Engine, Linux administration, and infrastructure troubleshooting.
- Practical understanding of VPC networking, firewall rules, routing, NAT, VPN, and load balancing.
- Experience handling production incidents, troubleshooting, RCA, and SLA-driven support.
- Familiarity with Cloud Monitoring, Cloud Logging, IAM, backup, and recovery procedures.
- Working knowledge of Terraform, scripting, or configuration management tools.
Preferred Skills
- Google Associate Cloud Engineer or Professional Cloud certifications.
- Experience supporting enterprise production environments.
- Exposure to Kubernetes/GKE, CI/CD pipelines, and infrastructure automation.
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Ideal Candidate Profile
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Jr Platform Engineer
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AWS / Kubernetes / OpenShift / Linux – Job Description
Role: Cloud / DevOps Engineer
Experience: 4–8 Years
Location: Bangalore
Mandatory Skills: AWS, Kubernetes, OpenShift, Linux
Job Summary
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- Strong Linux administration and troubleshooting skills
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SecurITe’s mission is to build an Agentic-AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.
About the Role
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This role is ideal for Linux platform engineers and system specialists who excel at solving complex system challenges, automating wherever possible, and building resilient platforms that enable teams to move faster with confidence.
Why This Role Matters
Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Platform Engineer, you will architect and build the infrastructure, automation, deployment, and operational systems that make this transformation real.
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This is a chance to solve novel technical challenges involving distributed systems, hybrid infrastructure, observability, automation, and secure software delivery while shaping how defenders outpace modern attackers.
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● Design and implement observability: monitoring, logging, alerting, and on-call-worthy SLAs from scratch
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● Help establish enterprise-grade cloud and on-premise deployment capabilities
● Enhance product resiliency, observability, and operational excellence
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Required Experience
● 4+ years hands-on Linux administration (RHEL-family strongly preferred — AlmaLinux, CentOS, RHEL)
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● Real AWS architecture experience — not just operating existing infra, but designing it (VPC, EC2, IAM, security groups, networking)
● Demonstrated ability to scope and solve ambiguous problems independently, without a runbook or senior engineer to defer to
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Required Skills & Qualifications
● Strong Linux system administration and troubleshooting skills
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● Strong understanding of networking fundamentals, security, and distributed systems
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● Experience with Terraform, Ansible, or similar infrastructure automation tools
● Strong scripting or programming skills in Python, Bash, or Go
● Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry
● Understanding of platform security best practices and secure infrastructure design
● Familiarity with virtualization technologies and hybrid infrastructure environments
● Strong problem-solving and debugging abilities
● Excellent communication and collaboration skills
● Ability to thrive in fast-paced startup environments
Nice to Have
● Configuration management/automation at scale (Ansible, AWX, Terraform, or similar)
● Monitoring/observability stack experience (Prometheus, Grafana, Zabbix, ELK, Datadog)
● Container experience (Docker; Kubernetes a plus but not core to this VM-based stack)
● Experience in a startup or small-team environment where infra was built from scratch
● Security/compliance exposure (vulnerability remediation, hardening, SSO/access control)
The Mindset
Problem Solver
You thrive on complex, ambiguous challenges and engineer elegant solutions.
Ownership-Driven
You take initiative, move fast, and deliver outcomes without hand-holding.
Continuous Learner
You stay ahead of the curve in AI, ML, cloud-native technologies, and emerging infrastructure trends.
Startup DNA
You excel in fast-moving environments where priorities evolve and impact is immediate.
Job Description
The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.
Responsibilities
- Support onboarding and technical discussions with development teams.
- Provide technical guidance and documentation.
- Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
- Improve platform code, processes and documentation.
- Provide production infrastructure/operations support, including on-call support.
- Research product requirements and new technology rollouts.
Core Mandatory Skills
Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management
Job Summary
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Key Responsibilities
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- Use Terraform for Infrastructure as Code (IaC) and automated infrastructure provisioning.
- Perform software product installation, configuration, and upgrades.
- Manage infrastructure environments and resolve installation and configuration issues.
- Monitor infrastructure performance, availability, and reliability.
- Collaborate with development and operations teams to support deployments.
- Follow security, backup, and infrastructure management best practices.
- Troubleshoot technical issues related to infrastructure and product installations.
Required Skills
- Hands-on experience with Terraform.
- Working knowledge of Google Cloud Platform (GCP).
- Experience in infrastructure setup and provisioning.
- Experience in software product/application installation and configuration.
- Knowledge of Linux/Unix operating systems.
- Understanding of networking, cloud security, and troubleshooting.
- Good problem-solving and communication skills.
Job Summary
We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps Engineering
- Production Support
- Linux Administration
- Cloud Infrastructure (AWS / Azure / GCP)
- Kubernetes and Docker
- CI/CD pipelines
- Monitoring and Observability
- Scripting using Python / Shell
- Incident Management and Root Cause Analysis
Key Responsibilities
- Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
- Handle production incidents, troubleshoot issues, and perform root cause analysis.
- Manage and automate infrastructure deployment and operational tasks.
- Work with CI/CD pipelines and container orchestration platforms.
- Implement monitoring, alerting, and observability solutions.
- Collaborate with development and operations teams to improve system reliability.
- Support cloud infrastructure, Linux environments, and production deployments.
- Identify recurring issues and implement preventive measures to reduce downtime.
Required Skills & Qualifications
- Experience: 10+ years in Cloud Engineering, Infrastructure, or DevOps, with strong hands-on GCP experience.
- GCP Expertise: GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Run, Cloud Functions, and Load Balancing.
- Kubernetes & Containers: GKE, Docker, Kubernetes networking, Helm, and troubleshooting.
- DevOps & IaC: Azure DevOps, Terraform, CI/CD pipelines, and infrastructure automation.
- Scripting: Python, Bash, or PowerShell.
- Security & Operations: Cloud security, IAM, monitoring, incident management, and cost optimization.
- Leadership & Ownership: Proven experience in team leadership, cross-functional collaboration, stakeholder management, managing multiple product-line deliverables, and handling competing priorities and ad hoc requests.
- Additional Advantage: Experience with Microsoft Azure.
Production Support SRE Engineer with AI/ML
Hybrid (3 days from Office)
Years of exp: 8+ yrs
Mandate skills: Production Support, Site Reliability Engineering (SRE), hands on AI Infra setup and maintenance exposure with both OnPrem (GPU) and Cloud.
Job Details:
Primary: Production Support Engineering, Site Reliability Engineering (SRE), GCP, AI/ML Platform
Secondary skills: Python, Linux/Unix, GPU Infrastructure, GenAI Support, Splunk, AppDynamics, Hadoop/Spark, Automation Engineering
Responsibilities:
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- Provides on-call production support of Mission Critical applications and resolve issues within RTO.
- Leverage diagnostic tools to maintain, troubleshoot and restore service or data to systems
- Bring in engineering, operational management in various domains like AI & Cloud
- Leverage AI-enabled applications, tools, Large Language Models (LLMs), Generative AI, Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures
- Champion continuous improvement to drive stability and operational excellence
- Work with SRE mindset. Building Automated solutions for daily redundant production support activities.
- Ability to understand and escalate issues efficiently and appropriately. Identify system bottlenecks and opportunities for process improvements
- Communicate, co-ordinate and collaborate with multiple support teams and stakeholders









