Jobgether
Website:
jobgether.com
Company:
https://www.linkedin.com/company/jobgether
Industries: Internet Marketplace Platforms
Job details:
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Platform Automation Engineer based in India.
This is a full-time remote opportunity focused on designing, building, and evolving enterprise private cloud platforms. You will work hands-on with OpenShift and Kubernetes to create scalable, resilient, and automated platform capabilities across on-premises and hybrid environments. The role combines platform engineering with software development, emphasizing code-first automation rather than manual operational processes. You will build APIs, Kubernetes Operators, GitOps workflows, and self-service capabilities that improve the developer experience and accelerate platform adoption. Strong collaboration with architects, application teams, and platform stakeholders will be essential to shaping reliable and efficient cloud-native services. The position offers the opportunity to work across infrastructure automation, observability, CI/CD, distributed systems, and modern software engineering practices. This role is well suited to an experienced engineer who enjoys solving complex infrastructure challenges through automation and scalable engineering solutions.
Accountabilities
- Platform Engineering: Design, build, maintain, deploy, upgrade, and automate enterprise OpenShift and Kubernetes platforms across on-premises and hybrid environments.
- Infrastructure Automation: Develop code-driven infrastructure automation solutions using Go, Python, Ansible, and Infrastructure as Code (IaC) practices to improve platform efficiency and consistency.
- Platform Development: Build and maintain Kubernetes Operators, APIs, integrations, and self-service platform capabilities that enable application teams to consume infrastructure more efficiently.
- GitOps & CI/CD: Implement and manage GitOps deployment workflows using tools such as Argo CD and Tekton, while supporting broader CI/CD practices through platforms such as GitHub Actions, Jenkins, or equivalent technologies.
- System Integrations: Develop API-based integrations between OpenShift and enterprise platforms, using automation frameworks and software engineering principles to create reliable and maintainable solutions.
- Reliability & Resilience: Improve platform reliability, scalability, and resilience by implementing automated monitoring, alerting, recovery, and operational mechanisms.
- Observability: Build and maintain observability capabilities using technologies such as Dynatrace, Prometheus, Grafana, and centralized logging platforms to improve platform visibility and operational performance.
- Containerized & Virtualized Workloads: Support containerized and virtualized workloads running on OpenShift, including environments leveraging OpenShift Virtualization.
- Developer Experience: Collaborate with architects, application teams, and platform stakeholders to improve self-service capabilities, platform usability, adoption, and the overall developer experience.
- Engineering Standards: Contribute to engineering standards, code quality, automation best practices, technical documentation, and mentoring initiatives across the platform engineering function.
Requirements
- Professional Experience: 6–10 years of experience in Platform Engineering, Cloud Engineering, Site Reliability Engineering (SRE), Infrastructure Automation, or a closely related field.
- OpenShift & Kubernetes: Strong hands-on experience with OpenShift Container Platform (OCP) and Kubernetes, including designing, deploying, upgrading, and automating clusters.
- Software Development: Proficiency in Go or Python, with a strong understanding of object-oriented programming principles, software engineering practices, and code-first automation.
- GitOps: Practical experience implementing GitOps methodologies and tools such as Argo CD.
- CI/CD: Experience with CI/CD platforms including Tekton, GitHub Actions, Jenkins, or equivalent technologies.
- API Development: Hands-on experience developing APIs and integrating systems through automated, scalable interfaces.
- Infrastructure as Code: Strong knowledge of Infrastructure as Code principles, YAML, Ansible, and automated infrastructure management.
- Cloud-Native Architecture: Strong understanding of distributed systems, microservices, Kubernetes ecosystems, and cloud-native architecture patterns.
- Kubernetes Operators: Experience developing Kubernetes Operators is preferred and will be considered a strong advantage.
- OpenShift Virtualization: Experience supporting OpenShift Virtualization and virtualized workloads is an asset.
- Observability: Experience with observability and monitoring platforms such as Dynatrace, Prometheus, Grafana, or ELK is preferred.
- Private & Hybrid Cloud: Experience working in private cloud, hybrid cloud, or enterprise infrastructure environments is advantageous.
- Self-Service Platforms: Experience building self-service capabilities that enable application teams to provision and manage platform resources efficiently is a plus.
- Collaboration & Communication: Strong ability to collaborate with architects, developers, application teams, and technical stakeholders while communicating complex technical concepts effectively.
- Engineering Mindset: Strong focus on automation, scalability, reliability, code quality, continuous improvement, and reducing reliance on manual operational processes.
- Education: A Bachelor's degree or equivalent is required, with a Bachelor of Engineering or related technical qualification preferred.
Benefits
- Remote Work: Full-time remote position based in India, with the listed work location in Chennai.
- Flexible Environment: Opportunity to work remotely while contributing to enterprise-scale platform engineering initiatives.
- Technical Growth: Hands-on exposure to OpenShift, Kubernetes, GitOps, cloud-native architectures, infrastructure automation, APIs, and modern software engineering practices.
- Innovation: Opportunity to develop new automation capabilities, Kubernetes Operators, self-service platforms, and innovative approaches to infrastructure management.
- Cross-Functional Exposure: Collaborate with architects, application teams, and platform stakeholders on complex enterprise technology initiatives.
- Professional Development: Opportunities to strengthen expertise across cloud engineering, SRE, DevOps, platform automation, observability, and distributed systems.
- Career Growth: Opportunity to contribute to large-scale enterprise technology platforms while developing deeper technical leadership and mentoring capabilities.
- Additional Benefits: Salary, healthcare, paid leave, retirement benefits, and other employee perks may be provided according to the partner company's applicable policies.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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