Platform Engineering & DevOps Engineer – AWS/Azure/GCP, Kubernetes, Terraform, CI/CD & DevSecOps at Synechron in Bengaluru - Bellandur (GTP)

Job description

• Synechron is seeking a Platform Engineering & DevOps Engineer to design, build and maintain scalable, secure and reliable platform infrastructure. The role will focus on platform engineering, cloud adoption, Infrastructure as Code, CI/CD automation, container orchestration, observability, DevSecOps and Site Reliability Engineering practices.The position will enable development teams through self-service capabilities, reusable platform components, standardized environments and efficient deployment practices. The role will also provide technical guidance, support platform modernization and improve the reliability, security, performance and cost efficiency of Synechron’s technology platforms.

Responsibilities

• Platform Engineering
• Design, build and maintain robust, scalable and secure platform infrastructure.
• Develop self-service capabilities and reusable platform components for development teams.
• Implement Infrastructure as Code using Terraform, CloudFormation or similar frameworks.
• Standardize development, testing, staging and production environments across projects.
• Establish repeatable provisioning, configuration and deployment practices.
• Drive platform modernization initiatives and cloud adoption strategies.
• Define platform standards, engineering practices, documentation and operating procedures.
• Improve developer productivity by reducing manual infrastructure and deployment activities.
• DevOps and Automation
• Design and implement CI/CD pipelines for automated build, test and deployment processes.
• Automate infrastructure provisioning, application deployment and operational tasks.
• Improve software delivery efficiency through DevOps practices and continuous improvement.
• Integrate security, compliance, quality and policy checks into deployment pipelines.
• Implement reliable release processes with appropriate validation, approvals, rollback and recovery mechanisms.
• Support automated testing, deployment verification and environment consistency.
• Identify and eliminate delivery bottlenecks, repetitive manual work and avoidable deployment risks.
• Cloud and Infrastructure Management
• Manage and optimize cloud environments on AWS, Azure or GCP.
• Implement high-availability, disaster-recovery and scalability solutions.
• Monitor cloud infrastructure performance, utilization and cost.
• Ensure infrastructure security and compliance with organizational standards.
• Assess resource utilization and recommend improvements to capacity, resilience and cost efficiency.
• Support cloud migration, platform modernization and infrastructure transformation initiatives.
• Containerization and Orchestration
• Deploy and manage containerized applications using Docker and Kubernetes.
• Support Kubernetes cluster administration, upgrades, configuration and troubleshooting.
• Implement service mesh and ingress-controller capabilities where required.
• Apply container security practices across image creation, scanning, deployment and runtime operations.
• Define standards for container configuration, resource limits, secrets management and workload reliability.
• Support scalable and resilient deployment patterns for microservices and cloud-native applications.
• Monitoring and Reliability Engineering
• Implement monitoring, logging, alerting and observability solutions using Prometheus, Grafana, ELK, Splunk, Datadog or equivalent tools.
• Establish meaningful metrics, dashboards, alerts and service-level indicators.
• Proactively identify and resolve performance bottlenecks.
• Support incident management, root-cause analysis and post-incident reviews.
• Improve platform reliability, availability, recoverability and operational excellence.
• Identify recurring failure patterns and implement preventive engineering improvements.
• Support service-level objectives and reliability targets through measurable operational practices.
• Collaboration and Technical Leadership
• Work closely with Development, Architecture, Security and Operations teams.
• Provide guidance on cloud-native architecture, platform engineering and DevOps practices.
• Mentor junior engineers and contribute to engineering standards and technical documentation.
• Participate in Agile ceremonies, planning sessions, technical reviews and continuous improvement initiatives.
• Communicate technical risks, dependencies, operational impacts and recommendations to relevant stakeholders.
• Support consistent adoption of platform standards across engineering teams.
• Design, develop and maintain Infrastructure as Code, self-service capabilities, reusable platform components and standardized cloud environments.
• Build and maintain CI/CD pipelines, automate deployments and provisioning, and integrate security, compliance and quality checks.
• Collaborate with Development, Architecture, Security and Operations teams through Agile ceremonies, technical reviews and continuous improvement sessions.
• Monitor platform health, troubleshoot incidents and performance issues, guide technical decisions within the agreed framework and support reliable, secure and cost-effective delivery.

Requirements

• Required
• AWS, Azure or Google Cloud Platform (GCP): Strong hands-on experience managing and optimizing cloud environments using at least one major cloud platform.
• Docker: Practical experience building, securing, managing and deploying containerized applications.
• Kubernetes: Hands-on experience deploying and managing containerized applications, administering clusters, performing upgrades and troubleshooting workloads.
• Terraform, CloudFormation or Similar IaC Frameworks: Experience creating reusable Infrastructure as Code for infrastructure provisioning, configuration and environment standardization.
• CI/CD Tools: Strong experience with one or more of the following:JenkinsGitHub ActionsGitLab CI/CDAzure DevOpsCircleCI
• Scripting: Proficiency in Python, Shell Script or PowerShell for automation, infrastructure management and operational tasks.
• Linux: Experience with Linux administration, system configuration, troubleshooting and performance analysis.
• Monitoring and Observability Tools: Experience with one or more of the following:PrometheusGrafanaELKSplunkDatadog
• Version Control: Experience using Git for source control, branching, merging, code review and collaborative development.
• Networking: Working knowledge of networking fundamentals, including DNS, TCP/IP, HTTP/HTTPS, routing, load balancing, firewalls and connectivity troubleshooting.
• DevSecOps Tools and Practices: Experience integrating security, compliance and quality checks into infrastructure and deployment pipelines.
• Programming Languages
• Essential
• Proficiency in at least one scripting language:PythonShell ScriptPowerShell
• Ability to write maintainable automation scripts for infrastructure provisioning, deployment, monitoring and operational support.
• Ability to troubleshoot script failures and integrate automation into CI/CD pipelines.
• Experience using more than one of Python, Shell Script or PowerShell.
• Familiarity with programming or configuration languages used in platform engineering and infrastructure automation.
• Databases and Data Management
• Essential
• Understanding of data storage, configuration data, logs, metrics and deployment metadata.
• Ability to support monitoring, logging and operational data collection.
• Understanding of backup, recovery, retention and access requirements for platform-related data.
• Ability to assess the operational impact of infrastructure or deployment changes on application data.
• Experience supporting SQL or NoSQL databases in cloud-native environments.
• Familiarity with log analytics, metrics storage and distributed tracing platforms.
• Experience with database backup automation, replication and disaster-recovery practices.
• Cloud Technologies
• Essential
• Strong experience with AWS, Azure or GCP.
• Experience designing, managing and optimizing cloud infrastructure.
• Understanding of cloud networking, identity and access management, scalability, availability and resilience.
• Experience supporting cloud adoption and platform modernization.
• Ability to monitor cloud utilization, performance, availability and cost.
• Experience with multiple cloud platforms.
• Experience with hybrid or multi-cloud environments.
• Familiarity with cloud-native managed services and multi-region deployments.
• Experience with cloud cost optimization and capacity planning.
• Frameworks and Libraries
• Essential
• Terraform, CloudFormation or a similar Infrastructure as Code framework.
• Docker and Kubernetes.
• CI/CD frameworks and pipeline automation.
• Monitoring and observability frameworks using Prometheus, Grafana, ELK, Splunk or Datadog.
• DevSecOps practices and automated quality, security and compliance controls.
• Site Reliability Engineering principles, including reliability measurement, incident response and continuous improvement.
• Service mesh technologies.
• Ingress controllers and API gateway technologies.
• Infrastructure and deployment policy frameworks.
• Platform engineering frameworks supporting self-service capabilities and developer portals.
• Development Tools and Methodologies
• Essential
• Git-based source control and collaborative development.
• CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps or CircleCI.
• Infrastructure as Code and configuration management.
• Agile delivery practices and participation in Agile ceremonies.
• Automated infrastructure provisioning and application deployment.
• Incident management, root-cause analysis and post-incident reviews.
• Performance optimization, troubleshooting and operational support.
• Environment standardization and release automation.
• Microservices architecture and cloud-native application delivery.
• Deployment strategies such as rolling, blue-green and canary releases.
• Infrastructure-as-code testing and policy-as-code practices.
• Platform product management and developer experience improvement.
• Security Protocols
• Essential
• Experience implementing DevSecOps and security best practices.
• Understanding of identity and access management, least-privilege access and secrets management.
• Knowledge of secure network configuration, encryption, vulnerability management and container security.
• Ability to integrate security, compliance and quality checks into CI/CD pipelines.
• Understanding of secure image management, dependency scanning and runtime protection.
• Ability to identify and address infrastructure and deployment risks.
• Experience with security policy automation and compliance-as-code.
• Familiarity with cloud security frameworks and security posture management.
• Experience supporting audits, security reviews, disaster-recovery testing and regulatory controls.
• At least 6 years of experience in Platform Engineering, DevOps, Cloud Engineering, Site Reliability Engineering or a related field.
• Strong hands-on experience with AWS, Azure or GCP.
• Hands-on experience with Docker and Kubernetes, including deployment, administration, upgrades and troubleshooting.
• Experience with Terraform, CloudFormation or similar Infrastructure as Code frameworks.
• Strong experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps or CircleCI.
• Proficiency in Python, Shell Script or PowerShell.
• Experience with Linux administration and networking fundamentals.
• Experience implementing monitoring and observability using Prometheus, Grafana, ELK, Splunk, Datadog or equivalent tools.
• Experience implementing DevSecOps and security practices.
• Demonstrated troubleshooting and performance-optimization capability.
• Preferred Experience with microservices architecture and cloud-native applications.
• Preferred Experience implementing high availability, disaster recovery, scalability and cost optimization.
• Preferred Experience mentoring engineers and contributing to engineering standards and documentation.
• Candidates may qualify through equivalent experience in cloud infrastructure, release engineering, systems engineering, automation engineering or SRE roles that demonstrate the required platform and DevOps capabilities.
• A bachelor’s degree in Computer Science, Information Technology, Engineering or a related field is preferred; equivalent relevant experience may be considered.
• Certifications such as AWS Certified DevOps Engineer, Microsoft Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), HashiCorp Terraform Associate or Google Professional Cloud DevOps Engineer are preferred.
• Practical training or demonstrated experience in cloud platforms, Kubernetes, Docker, Infrastructure as Code, CI/CD and DevSecOps is required.
• Training in Site Reliability Engineering, incident management, observability, cloud security and disaster recovery is preferred.
• Commitment to continuous professional development in platform engineering, cloud-native technologies, automation, reliability, security and cost optimization is expected.
• Experience with service mesh technologies, ingress controllers and container security tools.
• Experience with microservices architecture and cloud-native applications.
• Experience with disaster recovery, high-availability and multi-region architectures.
• Experience with incident-management, service-management and post-incident review tools.
• Experience with cloud cost-management and infrastructure-utilization tools.
• Experience with platform portals, self-service developer platforms and reusable engineering components.
• Experience with deployment strategies such as blue-green, canary and rolling deployments.

Skills

Required

• Docker
• Kubernetes
• Linux administration
• Version Control: Git
• DevSecOps Tools and Practices
• Infrastructure as Code
• Site Reliability Engineering principles
• Agile delivery practices

Preferred

• Service mesh technologies
• Multiple cloud platforms
• Hybrid or multi-cloud environments