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AWS Cloud Engineer at Delhi Academy of Medical Science P Ltd · Noida · 3 - 6 years · ₹4.2L - ₹8.5L / yr · Profitable · Posted 1 Apr 2022

Delhi Academy of Medical Science P Ltd's logo

AWS Cloud Engineer

Sandeep Sharma's profile picture
Posted by Sandeep Sharma
3 - 6 yrs
₹4.2L - ₹8.5L / yr
Noida
Skills
skill iconAmazon Web Services (AWS)
skill iconPython
skill iconJenkins

- Ensure reliability and efficiency of both large-scale cloud systems and business-operations

- Build and manage systems, infrastructure and applications through automation

- Develop and maintain CI/CD pipeline

- Build/Maintain alerting and monitoring service

- Automate all manual operations work

 

- Strong experience of AWS ecosystem


- Good working experience in python

- Experience in CI/CD tools like Jenkins

- Experience with Infrastructure automation tools like salt stack or chef is a plus

 

- Minimum 4 Years of work experience in Site Reliability.

- Extensive experience in supporting production Internet services

- Systematic problem-solving approach, coupled with effective communication skills and a sense of drive

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About Delhi Academy of Medical Science P Ltd

Founded :
1999
Type :
Product
Size :
100-500
Stage :
Profitable

About

DAMS is leading PG Medical Entrance,NEET PG Coaching Centre, download eMedicoz app to connect
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Connect with the team

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Sandeep Sharma

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It is an Product Based Company(Domain- EV Charging)
It is an Product Based Company(Domain- EV Charging)
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via by Mantasha Naaz
Bengaluru (Bangalore)
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SRE
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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.
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  • Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.


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SRE / Success Engineering role focused on production operations, reliability, AWS infrastructure, monitoring, incident management, and platform support for the ZT platform.


Core responsibilities include:

  • Production monitoring and debugging of live systems.
  • Incident investigation, troubleshooting, and problem resolution.
  • AWS cloud infrastructure support and maintenance.
  • Deployment and operational support activities.
  • Supporting a 24x7 production environment.
  • Working with GitHub-based development workflows.
  • Technical debt remediation and platform improvements.
  • Customer issue investigation and support.
  • Security and compliance-related work, including FedRAMP initiatives.


Preferred Skills:

AWS (especially S3 and EC2)

Strong debugging and troubleshooting skills

Site Reliability Engineering (SRE) experience

GitHub experience

Basic software development skills

TypeScript/JavaScript knowledge

C# preferred

AI experience is a plus.


Candidate should be a hands-on engineer with strong AWS, SRE, operational ownership, production support, and debugging capabilities, rather than a pure application or full-stack developer.

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3 - 9 yrs
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Site Reliability Engineer (SRE) / DevOps Engineer (Walk-In Drive)

Location: Gurgaon Experience: 3–6 Years


About the Role

We are looking for a hands-on Site Reliability Engineer (SRE) / DevOps Engineer with strong programming and automation skills.

The role will initially involve development and automation work, helping the engineer build a strong understanding of the applications and platform. Over time, the role will expand into broader DevOps and SRE responsibilities, including CI/CD, cloud infrastructure, observability, production reliability, incident management, and operational automation.

The ideal candidate should be comfortable working with both application code and production systems and should use engineering and automation to improve reliability and reduce manual effort.

Key Responsibilities

· Develop and enhance internal applications, automation tools, APIs, utilities, and platform capabilities using Python.

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· Build, maintain, and improve CI/CD pipelines and automated deployment processes.

· Work with Docker and Kubernetes for application deployment and operations.

· Support on prem and cloud-based application and infrastructure deployments.

· Maintain reliable, scalable, secure, and highly available production environments.

· Implement and manage monitoring, logging, alerting, and observability solutions.

· Contribute to defining and tracking SLIs, SLOs, and error budgets.

· Troubleshoot application and production issues and perform Root Cause Analysis (RCA).

· Identify recurring operational problems and address them through automation and engineering improvements.

· Support incident response, change management, deployment governance, and disaster recovery practices.

· Maintain runbooks, SOPs, incident documentation, and technical documentation.

· Collaborate with Engineering, Product, Platform, Security, Operations, and external teams.

Technical Skills

· Strong hands-on experience with Python for development and automation.

· Experience developing scripts, APIs, integrations, utilities, or backend services.

· Good understanding of software engineering principles, debugging, logging, testing, and exception handling.

· Experience with REST APIs, JSON, Git, pull requests, and code reviews.

· Strong knowledge of Linux/Unix environments and basic Windows administration.

· Good understanding of networking concepts including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.

· Experience with at least one cloud platform: AWS, Azure, or GCP.

· Hands-on experience with Docker and Kubernetes.

· Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or equivalent.

· Familiarity with Infrastructure-as-Code tools such as Terraform is preferred.

· Experience with monitoring and observability tools such as Grafana, Prometheus, Power BI, or equivalent.

· Ability to analyze logs, metrics, alerts, and traces for troubleshooting.

· Understanding of SRE concepts including SLIs, SLOs, availability, reliability, error budgets, and RCA.

· Experience with JIRA, ServiceNow, and Confluence is desirable.

Preferred Experience

· 3–6 years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or related roles.

· Strong Python development or automation experience.

· Experience supporting applications across development, deployment, and production environments.

· Exposure to cloud-native, distributed, or production-grade systems.

· Understanding of security and compliance best practices.

· Familiarity with AI-assisted engineering tools such as GitHub Copilot, Claude Code, or similar tools.

Soft Skills

· Strong analytical and troubleshooting skills.

· Engineering and automation mindset.

· Good written and verbal communication skills.

· Effective cross-functional collaboration.

· Ownership-driven approach to problem solving.

· Ability to remain structured during production incidents.

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● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.


Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

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🚀 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.
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1 - 3 yrs
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Location : Mumbai


Big Picture (The Opportunity) :

Are you looking for an opportunity to advance your Career? & If you are able to maintain a positive attitude even when everything goes wrong, if you are detail oriented and self motivated with a passion to learn and improve your skills and knowledge, we have a perfect job for you !

What do we want from you ? (Our Expectations) :

  • Zero to 2 years experience in Linux Operating System.
  • Flexible working hours - able to support occasional nights, weekends, and call-ins, able to quickly adapt to a constantly changing faced paced environment. Open to travel to sites.
  • An ideal person who is excited and motivated about running and supporting a production - grade critical infrastructure and looks for opportunities to improve processes with automation.


What are you required to do ? (Your Responsibilities) :

  • Proactively maintain and develop all linux infrastructure technology to maintain a 24*7*365 uptime service.
  • Engineering of systems administration-related various solutions for our various SAAS products and projects as well as operational needs.
  • Proactively monitoring system performance and capacity planning.
  • Providing technical support to customers for Applications, Operating systems, and networking.
  • Will also be the first point of contact for our clients, where installations are placed on a permanent basis, for basic troubleshooting and problem solving.
  • Fault finding, analysis and logging information for reporting of performance exceptions.
  • Maintain best practices on managing systems and services across all environments.

 

 

Skills & Qualification Required (Add Value) :

  • Graduate - Preferred to have Bachelor‘s Degree in Engineering, Computer Science or related field.
  • He / She should be familiar with the installation and configuration of Linux operating systems and setup and operation of TCP/IP networking on Linux systems also familiar with Internet concepts including SMTP, IMAP, POP, HTTP, DNS, LDAP and related protocols.
  • You should possess excellent communication skills .
  • Knowledge of Email concepts, Helpdesk Concept , VoIP Concept , Cloud computing will be an added advantage.
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Pradeep Chandkiran
Posted by Pradeep Chandkiran
Bengaluru (Bangalore)
3 - 5 yrs
₹8L - ₹14L / yr
skill iconKubernetes
Terraform
skill iconAmazon Web Services (AWS)

Location: Bangalore preferred / Hybrid as applicable

Experience: 3+ years

Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline

Salary: Above market standards, flexible for the right candidate

Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations


About FrontM

FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.

The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.


Role Summary

As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.

This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.


Key Responsibilities

Cloud Infrastructure & DevOps Architecture (≈45%)

· Own, maintain and improve AWS cloud infrastructure for FrontM platforms

· Create and maintain Terraform scripts for infrastructure deployment and management

· Manage Kubernetes workloads deployed within AWS EKS

· Support multi-zone AWS infrastructure design for availability, resilience and scale

· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap

CI/CD, Operations & Platform Reliability (≈35%)

· Build, maintain and improve CI/CD pipelines for backend and platform services

· Oversee technical operations with hands-on administration, monitoring and release support

· Ensure continuous server uptime, stability, performance and maintainability

· Debug, respond to and restore system outages in production and staging environments

· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io

· Support backend stability, scale and performance across Node.js, Java and related services

Security, Networking & Production Support (≈20%)

· Maintain AWS security configurations, access controls and monitoring practices

· Support complex networking requirements across multi-domain SaaS implementations

· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users

· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements

· Document operational procedures, incident findings and technical support steps clearly


Required Technical Skills

Cloud Infrastructure & AWS

· Strong hands-on experience with AWS infrastructure and cloud operations

· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Experience with AWS security setup, monitoring and multi-zone infrastructure

· Ability to manage infrastructure using Terraform

Kubernetes, CI/CD & Observability

· Strong experience with Kubernetes, preferably AWS EKS

· Extensive CI/CD and DevOps experience

· Experience with infrastructure observability and application monitoring tools

· Ability to diagnose production bottlenecks, server failures and performance issues

Backend, Networking & SaaS Operations

· Experience supporting Node.js, Java and backend system procedures for stability and scale

· Good understanding of APIs, integrations and backend service dependencies

· Experience with complex networking and multi-domain SaaS implementations

· Ability to troubleshoot technical issues with non-technical end users

Nice to Have

· Experience with MongoDB clusters in MongoDB Atlas

Personal Attributes

· Strong ownership mindset for uptime, reliability and production stability

· Practical problem-solving approach with the ability to act quickly during incidents

· Clear written and spoken communication in English

· Ability to work independently and coordinate with senior management when required

· Comfortable working in fast-moving engineering teams

· Attention to detail in security, monitoring, documentation and operational processes


Why join FrontM?

Long-Term Career Growth

Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.

Engineering Challenges That Matter

Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.

Broad Technical Ownership

Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.


Apply now

Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.

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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.

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company logo
Pune, Mumbai
4 - 8 yrs
₹6L - ₹22L / yr
Reliability engineering
DevOps
Google Cloud Platform (GCP)
Alerting and Monitoring
skill iconKubernetes
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Lead Cloud Reliability Engineer


Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.


Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

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Gurugram
5 - 10 yrs
₹12L - ₹18L / yr
DevOps
Reliability engineering
skill iconAmazon Web Services (AWS)
Terraform
Ansible
+18 more

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.
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