workday
Software Engineer
Flexera
Bengaluru, IND
Full-time
Junior · 2–4 years experience
Hybrid
Discovered 2 weeks ago
awsazuredockereksgcpgit
Key Skills for This Role
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Full Job Posting
Key Responsibilities
- Product Development
- Design and develop backend services supporting Kubernetes workload optimization and rightsizing.
- Build scalable micro services and APIs that interact with Kubernetes clusters.
- Develop recommendation engines for CPU, memory, storage, and workload optimization.
- Implement support for vertical and horizontal workload rightsizing.
- Enhance integrations with Kubernetes auto scaling frameworks including HPA, KEDA, and cloud-native scaling services.
- Develop features related to replica optimization, workload savings analysis, and resource allocation.
- Kubernetes Engineering
- Work with Kubernetes APIs, controllers, operators, and CRDs.
- Develop and maintain integrations with EKS, AKS, and GKE.
- Build telemetry and observability capabilities to collect workload utilization metrics.
- Investigate cluster behavior and optimize resource allocation algorithms.
- Cloud Optimization
- Develop solutions that improve workload efficiency and reduce cloud spend.
- Build capacity planning, forecasting, and recommendation capabilities.
- Support GPU optimization, workload scheduling, bin-packing, and resource allocation initiatives.
- Contribute to rightsizing features across AWS, Azure, and Kubernetes environments.
- Engineering Excellence
- Participate in design reviews and architecture discussions.
- Write clean, maintainable, well-tested code.
- Create automated unit, integration, and performance tests.
- Contribute to CI/CD pipelines and deployment automation.
- Troubleshoot production issues and participate in operational support rotations.
- Required Technical Skills
- Kubernetes (Must Have)
- Strong understanding of Kubernetes Architecture, Pods, Deployments, StatefulSets, Services and Ingress, ConfigMaps and Secrets, Namespaces, RBAC, HPA and Cluster Autoscaling
- Hands-on experience using Kubernetes APIs.
- Experience troubleshooting Kubernetes applications and workloads.
- Understanding of workload scheduling and resource allocation.
- Development Skills (Must Have)
- Strong coding experience in one or more: Java, Python
- Experience building APIs and distributed systems.
- Experience with Microservices architecture.
- Strong knowledge of data structures and algorithms.
- Cloud Platforms
- Experience: AWS(Must Have), Azure, GCP
- Knowledge of: EKS, AKS, GKE
- Containers & DevOps
- Docker, Helm, Git, GitHub Actions / Jenkins, Terraform
- Databases
- PostgreSQL, MySQL, MongoDB, Redis (Nice to have)
- Observability
- Experience with: Prometheus, SumoLogic, Grafana, OpenTelemetry, ELK
Preferred Qualifications
- Experience developing Kubernetes Operators or Controllers.
- Experience with workload autoscaling technologies (HPA, KEDA, VPA).
- Knowledge of FinOps and cloud cost optimization.
- Understanding of workload recommendation engines.
- Experience with AI/ML-driven optimization or recommendation systems.
- Exposure to GPU scheduling and optimization.
- Experience building highly scalable SaaS products.
- Flexera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.
- Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.
- We encourage candidates requiring accommodations to please let us know by emailing [email protected].
- PostgreSQL, MySQL, MongoDB, Redis (Nice to have)
Qualifications
- Software Engineer
- 2 - 4 years of software development experience.
- 2+ years of hands-on Kubernetes development experience.
- Strong coding and debugging skills.
- Key Responsibilities
- Product Development
- Design and develop backend services supporting Kubernetes workload optimization and rightsizing.
- Build scalable micro services and APIs that interact with Kubernetes clusters.
- Develop recommendation engines for CPU, memory, storage, and workload optimization.
- Implement support for vertical and horizontal workload rightsizing.
- Enhance integrations with Kubernetes auto scaling frameworks including HPA, KEDA, and cloud-native scaling services.
- Develop features related to replica optimization, workload savings analysis, and resource allocation.
- Kubernetes Engineering
- Work with Kubernetes APIs, controllers, operators, and CRDs.
- Develop and maintain integrations with EKS, AKS, and GKE.
- Build telemetry and observability capabilities to collect workload utilization metrics.
- Investigate cluster behavior and optimize resource allocation algorithms.
- Cloud Optimization
- Develop solutions that improve workload efficiency and reduce cloud spend.
- Build capacity planning, forecasting, and recommendation capabilities.
- Support GPU optimization, workload scheduling, bin-packing, and resource allocation initiatives.
- Contribute to rightsizing features across AWS, Azure, and Kubernetes environments.
- Engineering Excellence
- Participate in design reviews and architecture discussions.
- Write clean, maintainable, well-tested code.
- Create automated unit, integration, and performance tests.
- Contribute to CI/CD pipelines and deployment automation.
- Troubleshoot production issues and participate in operational support rotations.
- Required Technical Skills
- Kubernetes (Must Have)
- Strong understanding of Kubernetes Architecture, Pods, Deployments, StatefulSets, Services and Ingress, ConfigMaps and Secrets, Namespaces, RBAC, HPA and Cluster Autoscaling
- Hands-on experience using Kubernetes APIs.
- Experience troubleshooting Kubernetes applications and workloads.
- Understanding of workload scheduling and resource allocation.
- Development Skills (Must Have)
- Strong coding experience in one or more: Java, Python
- Experience building APIs and distributed systems.
- Experience with Microservices architecture.
- Strong knowledge of data structures and algorithms.
- Cloud Platforms
- AWS(Must Have), Azure, GCP
- Knowledge of: EKS, AKS, GKE
- Containers & DevOps
- Docker, Helm, Git, GitHub Actions / Jenkins, Terraform
- Databases
- Observability
- Experience with: Prometheus, SumoLogic, Grafana, OpenTelemetry, ELK
About Flexera
Software & SaaS2500 employeesFounded 1987
Private enterprise software company helping organizations manage technology spend, IT assets, SaaS, cloud costs, and technology risk.
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