DevOps Engineer/ Site Reliability Engineer

Job Title: Senior Site Reliability Engineer 

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 6+ years

About Compnay

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally, It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

We value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

We are seeking a skilled and proactive Site Reliability Engineer (SRE) to join our growing team. In this role, you will be responsible for maintaining system reliability, scalability, and performance across our EV charging platforms. You will collaborate closely with development and operations teams to build resilient, automated, and observable systems.

Key Responsibilities

• Ensure high availability, performance, and reliability of production systems
• Design, implement, and manage scalable infrastructure solutions
• Build and maintain CI/CD pipelines for efficient software delivery
• Monitor system health using observability tools and respond to incidents proactively
• Automate operational processes using scripting and Infrastructure as Code (IaC)
• Manage containerized environments using Docker and Kubernetes
• Collaborate with cross-functional teams to improve system architecture and resilience
• Participate in on-call rotations and incident management processes
• Continuously optimize cloud infrastructure for cost, performance, and scalability

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, IT, or related field
• 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure roles
• Strong experience with containerization (Docker) and orchestration (Kubernetes)
• Proficiency in Linux administration, networking, and system security
• Hands-on experience with cloud platforms, especially AWS (EKS, EC2, S3, RDS, Lambda)
• Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or similar
• Knowledge of Infrastructure as Code tools (Terraform, AWS CloudFormation, Ansible)
• Proficiency in scripting languages (Python, Bash, or PowerShell)
• Experience with monitoring tools like Dynatrace, Prometheus, Grafana, or Zabbix
• Solid understanding of system architecture, microservices, and SaaS/PaaS models
• Strong analytical and problem-solving skills   

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.

If you are Interested DM me on LinkedIn - Saquib Mundagnur

 What You'll Own

CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.

Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.

Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.

Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.

Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.

Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend. 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.

- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).

- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.

- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.

- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

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.

Job Description:

Pre-requisite skills required for a DevOps Engineer role include:

• 6+yrs exp in DevOps
• Experience working on Linux based infrastructure
• knowledge in AWS, docker, CI/CD tools
• Hands on exp in Python/shell scripting language
• hands on exp in AWS and Azure
• Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
• Excellent understanding of Ruby, Python, Perl, and Java
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 5+ Years

Location : Gurugram, Haryana

Work Mode : On-site (Full-time)

About the Role :

We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.

Mandatory Skills :

AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux

Key Responsibilities :

• Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
• Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
• Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
• Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
• Automate operational tasks using Python, Bash, and Groovy scripting.
• Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.

Required Skills & Qualifications :

• Bachelor's degree in Computer Science, IT, Electronics, or a related field.
• 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
• Strong expertise in AWS, with exposure to Azure/GCP.
• Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
• Strong scripting skills in Python and Bash.
• Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Good understanding of Linux, networking, SQL, and cloud security best practices.

Preferred Skills :

• Experience with multi-cloud environments and DevSecOps practices.
• Knowledge of disaster recovery, automation, and microservices architecture.
• Strong troubleshooting, communication, and problem-solving skills.

Job Summary

We are looking for an experienced Site Reliability Engineer (SRE) with strong expertise in networking, DNS, load balancing, and hybrid cloud environments. The candidate will be responsible for maintaining the reliability, availability, performance, and scalability of production infrastructure and services.

The ideal candidate should have strong troubleshooting skills and experience working across network, cloud, infrastructure, and application environments.

Key Responsibilities

• Monitor and maintain the availability and reliability of production systems and services.
• Troubleshoot complex network, infrastructure, and application connectivity issues.
• Manage and troubleshoot DNS services, DNS resolution, records, and configuration issues.
• Configure, manage, and troubleshoot Load Balancers and traffic routing.
• Work with Layer 4 and Layer 7 networking and understand TCP/IP, HTTP/HTTPS, routing, and network connectivity.
• Support hybrid cloud environments involving on-premises infrastructure and public cloud platforms.
• Troubleshoot connectivity between on-premises data centers and cloud environments.
• Participate in production incidents, troubleshooting, root cause analysis (RCA), and problem management.
• Develop automation scripts and tools to reduce manual operational activities.
• Configure and maintain monitoring, alerting, and observability solutions.
• Work closely with Network, Cloud, DevOps, Security, and Application teams.
• Participate in on-call support and resolve production issues within defined SLAs.
• Document infrastructure, troubleshooting procedures, incident reports, and operational processes.
• Identify opportunities to improve system reliability, performance, and scalability.

Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
• Define, build, and enforce platform standards across portfolio products
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
• Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
• Design and maintain batch processing infrastructure alongside live event flows
• Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

• Own the full observability stack: Grafana, Prometheus, and Loki across all products
• SLOs and error budgets defined per product; reliability tracked consistently
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
• Incident response: on-call design, escalation playbooks, post-mortem facilitation
• Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
• Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
• Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
• Strong Terraform depth across multi-environment, multi-account setups
• CI/CD ownership across a multi-product environment with GitHub Actions
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
• Hands-on Grafana, Prometheus, and Loki in production
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
• Acquisition or greenfield platform integration experience strongly preferred

How You Work

• Comfortable operating across multiple products simultaneously — context-switching without dropping standards
• Cost-efficiency instinct — you optimise spend as a habit, not as a project
• You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
• You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity

About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).

Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux

Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

• Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
• Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
• Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

• Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
• Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

• Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
• Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

• Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
• Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
• Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
• Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).

Required Qualifications & Skills :

• Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
• Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
• Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
• CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
• Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
• Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
• Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
• Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
• Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.