Platform Engineering & DevOps Engineer – AWS/Azure/GCP, Kubernetes, Terraform, CI/CD & DevSecOps

Job Summary 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. Software 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. Preferred
• 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. Overall 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. Performance Outcomes
• Increased deployment frequency and reduced deployment lead time through effective automation.
• Improved infrastructure reliability, availability, scalability and recovery capability.
• Reduced manual provisioning and configuration effort through reusable IaC and self-service capabilities.
• Improved visibility into platform performance, utilization, incidents and service health.
• Stronger integration of security, compliance and quality controls into delivery workflows.
• Optimized cloud consumption and infrastructure costs without compromising business or operational requirements.
• Consistent adoption of documented platform, DevOps, reliability and security standards. Sustainability Considerations
• Optimize cloud resources, container utilization and infrastructure capacity to reduce unnecessary consumption.
• Promote reusable platform components and automated processes to reduce duplicated engineering effort.
• Consider the long-term maintainability, operational efficiency and lifecycle cost of platform designs.
• Use monitoring and utilization data to support responsible infrastructure scaling and resource management. Technical Skills (By Category) Programming Languages Essential
• Proficiency in at least one scripting language:Pyth