Mindstix Software Labs - Site Reliability Engineer - Docker/Kubernetes

About Mindstix Software Labs : Mindstix accelerates digital transformation for the world's leading brands. We are a team of passionate innovators specialized in Cloud Engineering, Enterprise Mobility, Digital Experiences, and Data Science. Our SRE experts deliver cloud strategy and massive-scale cloud infrastructure for Fortune 500 customers and silicon valley ventures. We work across a diverse set of industries such as eCommerce, Luxury Retail, SaaS, Consumer Tech, Health Tech, and Hospitality. A fast-moving open culture powered by curiosity and craftsmanship. A team committed to bold thinking and innovation at the very intersection of business, technology, and design. That's our DNA. Roles and Responsibilities : - Mindstix is looking for DevOps and Site Reliability Engineers. - As a member of our Cloud Engineering team, you have an opportunity to work on modern cloud-native infrastructure using our bleeding-edge DevOps toolchain. - Design and architect large-scale systems on leading cloud platforms : AWS, Azure, and Google Cloud. - Automate IT operations and the "software supply chain" with continuous integration, continuous delivery, infrastructure-as-code, and modern release engineering. - Design for high availability, scalability, elasticity, and enterprise-grade security. - Plan release strategies and steer production launches for mission-critical cloud applications. - Manage production environments for high availability, performance, and latency. - Deliver committed SLAs. - Scale systems sustainably. - Continually refine systems for reliability and security. - Incident response, root cause analysis, remediation and fixes, and regression testing on live production systems. - Lead cloud transformation strategy, cloud platform assessments, cloud migration initiatives, and cloud cost optimization for global brands. Qualifications and Skills : - Bachelor's or Master's degree in Computer Science, Information Technology, or allied streams. - 3 years of hands-on experience in building virtualized cloud infrastructure and deploying applications to cloud environments: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). - Cloud Foundations : Strong foundations in virtualization, infrastructure-as-code, containers, private, hybrid, and public cloud computing concepts. - Programming Foundations : Strong hands-on experience with at least one programming or scripting language such as Python, GoLang, Java, JavaScript, Groovy, Bash, Powershell. - OS Proficiency : Proficiency in system administration on Linux and Windows. Toolchain Expertise : - Docker, Kubernetes, EKS, AKS. - Helm, Spinnaker. - Terraform, CDK, AWS CloudFormation. - Jenkins, GitHub Actions. - AWS CLI, Azure CLI. - ELK Stack, Grafana, Prometheus, Dynatrace. - Chef, Puppet, Ansible. - JIRA, Confluence, Slack. CI/CD Pipelines : - Hands-on experience in building Continuous Integration and Continuous Deployment pipelines at enterprise scale. - Experience deploying microservices and application workloads. Networking Competency : - TCP/IP stack and protocols, software-defined networking (SDN), DNS, DHCP, Tunneling and VPN, Proxies and NAT, Load Balancers, Firewalls, Gateways, TLS. Security Competency : - Strong foundations in identity management, authentication, authorization, key management, certificate management, SAML, and OAuth. Release management : - Experience with release strategies such as Canary, Blue-Green, Rolling Updates. Scalability engineering : - Experience in designing, deploying, and testing distributed applications in multi-cloud environments. HA and DR : - Experience with high-availability architecture, disaster recovery strategies, multi-AZ and multi-region deployment models. Integration Experience : - Experience with REST APIs, GraphQL, Enterprise Integration Patterns, API Management, Service Bus and Async-Messaging. Monitoring Experience : - Experience in protocols and tools for observability log aggregation, telemetry monitoring, application performance monitoring (APM), analytics, distributed tracing and alerting. Data-tier Expertise : - Operationalizing storage services and managed databases: SQL, No SQL, Data Lake, Data Warehouse, Cloud Data Platforms, Object Storage Services. - Experience with capacity planning, cost estimation, and cloud cost optimization. Excellent written and verbal communication skills : - Ability to engage with technical and non-technical team members. - Strong problem-solving and debugging skills with an ability to rapidly learn new technologies and tools. (ref:hirist.tech)

Location: pune, IN

Posted Date: 5/11/2025