DevOps Engineer at A modern configuration management platform based on advanced · Bengaluru (Bangalore) · 3 - 5 years · ₹25L - ₹100L / yr (ESOP available) · Posted 8 Sep 2025

DevOps Engineer
at A modern configuration management platform based on advanced
Key Responsibilities:
Kubernetes Management:
Deploy, configure, and maintain Kubernetes clusters on AKS, EKS, GKE, and OKE.
Troubleshoot and resolve issues related to cluster performance and availability.
Database Migration:
Plan and execute database migration strategies across multicloud environments, ensuring data integrity and minimal downtime.
Collaborate with database teams to optimize data flow and management.
Coding and Development:
Develop, test, and optimize code with a focus on enhancing algorithms and data structures for system performance.
Implement best coding practices and contribute to code reviews.
Cross-Platform Integration:
Facilitate seamless integration of services across different cloud providers to enhance interoperability.
Collaborate with development teams to ensure consistent application performance across environments.
Performance Optimization:
Monitor system performance metrics, identify bottlenecks, and implement effective solutions to optimize resource utilization.
Conduct regular performance assessments and provide recommendations for improvements.
Experience:
Minimum of 2+ years of experience in cloud computing, with a strong focus on Kubernetes management across multiple platforms.
Technical Skills:
Proficient in cloud services and infrastructure, including networking and security considerations.
Strong programming skills in languages such as Python, Go, or Java, with a solid understanding of algorithms and data structures.
Problem-Solving:
Excellent analytical and troubleshooting skills with a proactive approach to identifying and resolving issues.
Communication:
Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
Preferred Skills:
- Familiarity with CI/CD tools and practices.
- Experience with container orchestration and management tools.
- Knowledge of microservices architecture and design patterns.

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Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.
What you'll do:
- Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
- Containerize apps with Docker, deploy on Kubernetes clusters
- Manage infrastructure as code (Terraform, CloudFormation)
- Set up monitoring (Prometheus, Grafana, ELK Stack)
- Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
- Optimize costs and performance for live production systems
What we need:
- Basic Python/Bash scripting
- Docker basics, Git workflows
- Cloud exposure (AWS/GCP/Azure free tier projects)
- Problem-solving mindset, eagerness to learn
Real impact:
- Deploy apps used by 1000+ daily users
- Work with senior DevOps engineers on client deliverables
- Build portfolio for FAANG-level interviews
AWS / Kubernetes / OpenShift / Linux –
Location: Bangalore
Experience: 7–10 Years
Mandatory Skills:
- Strong hands-on experience with AWS
- Experience in Kubernetes & OpenShift
- Strong knowledge of Linux administration
- Experience with Docker & containerization
- Knowledge of CI/CD pipelines and DevOps practices
- Troubleshooting, monitoring, and deployment experience
Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift
About Shopalyst:
Shopalyst offers a Discovery Commerce platform for digital marketers. Combining data, AI and deep integrations with digital media and e-commerce platforms, Shopalyst connects people with products they love. More than 500 marquee brands leverage our SaaS platform for data driven marketing and sales in 30 countries across Asia, Europe and Americas. We have offices in Fremont CA, Bangalore, and Trivandrum. Our company is backed by Kalaari Capital.
About the Role:
- This position is responsible for end to end management of Shopalyst's cloud infrastructure platform (AWS and Google Cloud).
- Candidate should have a bachelor's degree in Computer Science and Engineering (or equivalent) plus minimum 3+ years of experience in managing AWS cloud infrastructure.
Core responsibilities:
Infra management
- Review infrastructure change requests, suggest & implement optimal solution in terms of performance, maintainability & cost
- Keep the infrastructure updated/upgraded. This includes servers, operating system, packages and application software
- Maintain all infrastructure configuration as IaC (Infrastructure as Code)
Infra monitoring and site reliability
- Continuous monitoring of infrastructure and ensuring 24x7 availability
- Implement/maintain automated alerting mechanisms for handling infra outages
- Document and maintain infra recovery procedures, ensure successful backup of critical data
- Continuously monitor infra utilization and alert on when to scale up/scale down instances
Infra Security, Compliance & Certifications
- Infrastructure access management - ensure least privilege as the default policy. Review infra access periodically. Manage access to critical systems like AWS/Open VPN
- Adherence to CIS/AWS security benchmarks on AWS Security Hub
- Implement controls required for different attestations/certifications like SOC 2 Type 2,ISO 27xxx, PCI DSS etc
DevOps
- Enable CI/CD process for application deployment
Infra cost monitoring and optimisation
- Services-wise infrastructure cost monitoring analysis and optimisation
Infra trends and new services
- Evaluate new cloud services, analyse feasibility of adoption
Required Skills and Experience:
- AWS: 3+ years experience with using a broad range of AWS technologies (e.g. EC2,S3, ELB, VPC,Route 53, IAM, CloudWatch, CloudFront, RDS, Lambda, Glacier) to develop and maintain an Amazon AWS based cloud solution
- DevOps: Solid experience as a DevOps Engineer in a 24x7 uptime Amazon AWS environment, including automation experience with configuration management tools.
- Infra automation: Experience in Terraform/Ansible
- Scripting Skills: Strong scripting (e.g. Python) and automation skills.
- Operating Systems: Linux system administration and strong shell scripting skills
- Monitoring Tools: Experience with web servers (e.g. Nginx).
- Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues.
Desired Skills (Not essential but beneficial to have):
- DB Skills: Basic DB administration experience - Cassandra, RDS, MySQL
- Search engines: Experience with search engines such as Apache Solr/Elastic Search
- Version Control: Experience administrating version control systems such as Git
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 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
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.
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
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
Devops + Python
Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
4-8 years /16 LPA
10+ years /26 LPA
Bangalore/Hyderabad
immediate to 15 days.
AWS / Kubernetes / OpenShift / Linux – Job Description
Role: Cloud / DevOps Engineer
Experience: 4–8 Years
Location: Bangalore
Mandatory Skills: AWS, Kubernetes, OpenShift, Linux
Job Summary
Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.
Key Responsibilities
- Manage and support AWS cloud infrastructure and services.
- Deploy and manage applications using Kubernetes and OpenShift.
- Perform Linux administration, troubleshooting, and issue resolution.
- Monitor application and infrastructure health and resolve production issues.
- Work on containerized applications and deployments.
- Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
- Troubleshoot cloud, container, and Linux-related issues.
- Collaborate with development and operations teams for deployments and releases.
- Follow security, availability, and operational best practices.
Mandatory Skills
- Strong hands-on experience in AWS
- Good experience with Kubernetes
- Hands-on experience in OpenShift
- Strong Linux administration and troubleshooting skills
- Experience in cloud/container environment support
- Good production troubleshooting and incident management skills












