Opportunity at
SallaCloud Native Data Ops
Salla is seeking a Cloud Native Data Ops professional to design, scale, and secure its growing platform infrastructure. In this role, you will work across customer-facing…
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About This Role
Salla is seeking a Cloud Native Data Ops professional to design, scale, and secure its growing platform infrastructure. In this role, you will work across customer-facing applications, APIs, internal platforms, and data services to guarantee system availability, performance, and cost efficiency. You will be hands-on with Kubernetes, observability tools, GitOps, automation, and cloud infrastructure while collaborating with application, platform, and data teams to deliver self-healing environments. This position suits an…
Job Description
Salla is seeking a Cloud Native Data Ops professional to design, scale, and secure its growing platform infrastructure. In this role, you will work across customer-facing applications, APIs, internal platforms, and data services to guarantee system availability, performance, and cost efficiency. You will be hands-on with Kubernetes, observability tools, GitOps, automation, and cloud infrastructure while collaborating with application, platform, and data teams to deliver self-healing environments. This position suits an engineer who enjoys complex distributed systems, automates operational tasks, and balances speed, stability, and production costs.
Core duties involve deploying and maintaining workloads across Kubernetes clusters, building auto-scaling systems, managing database and storage platforms, and enforcing disaster recovery protocols. You will also oversee backup strategies, storage performance, block and object storage platforms, and secure networking integration. Additional responsibilities include championing GitOps and CI/CD pipelines, administering monitoring and alerting stacks, leading incident responses, enforcing security and compliance measures, and optimizing system performance and cloud costs.
Responsibilities
- Deploy, monitor, and maintain production workloads across Kubernetes clusters
- Build auto-scaling and self-healing systems to reduce manual intervention
- Operate reliable database and storage platforms within Kubernetes environments
- Execute backup, disaster recovery, replication, and failover strategies
- Troubleshoot Kubernetes Persistent Volumes including StorageClasses and CSI drivers
- Optimize storage performance using multi-tier strategies and lifecycle policies
- Scale object storage platforms for high-throughput data pipelines
- Manage block storage and shared file systems for resilience and cost control
- Collaborate on optimizing networking, ingress traffic, and service mesh tools
- Implement GitOps and CI/CD workflows using ArgoCD, Flux, and GitHub Actions
- Automate infrastructure provisioning and upgrades with Terraform and Helm
- Manage monitoring and alerting stacks via Prometheus, Grafana, Loki, and OpenSearch
- Lead incident management and postmortems
- Enforce least-privilege IAM policies, RBAC, secret management, and network firewalls
- Analyze and tune system performance under scale and introduce cost visibility dashboards
Requirements
- Minimum of eight years of experience in SRE, DevOps, or Infrastructure Engineering roles
- Extensive expertise in multi-cluster Kubernetes, Helm chart development, and advanced networking
- Proficiency in GitOps workflows utilizing ArgoCD or Flux
- Experience with AWS, Azure, or GCP cloud platforms
- Knowledge of Infrastructure-as-Code tools such as Terraform, Pulumi, or CloudFormation
- Advanced background in SQL and NoSQL databases including MySQL, Aurora, PostgreSQL, MongoDB, and Redis
- Scripting and automation capabilities in Python, Bash, or Go
- Familiarity with monitoring and observability stacks like Prometheus, Grafana, Loki, and ELK
- Experience managing production incidents and operating large-scale CI/CD pipelines
- Background working with streaming and messaging systems like Kafka or RabbitMQ
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical work experience
- Demonstrated history of managing mission-critical systems at scale across multiple regions
- Proven track record of cloud and Kubernetes cost optimization
- Familiarity with service mesh solutions such as Istio or Linkerd
- Previous exposure to data platform tools like Airflow, Debezium, or ClickHouse
Core Skills
Benefits
- Comprehensive training and development programs
- Performance-based bonus incentives
- Flexible work from home options
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this role?
The posting indicates that this is a full-time position.
Are there remote work options available?
Yes, the employer offers flexible work from home options.
What salary is offered for the Cloud Native Data Ops position?
The specific salary is not stated in the job posting.
Where is the job located?
The job location is not specified in the posting.
What educational background is required?
Candidates must hold a Bachelor’s degree in Computer Science, Engineering, or a related field, or possess equivalent work experience.
Sample Interview Questions
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