Sayali Joshi

DevOps Engineer

Atlanta, Georgia, United States3 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in multicloud networking and automation.
Hands-on experience with big data ecosystems.
Proficient in Python tooling for infrastructure.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in multicloud environments and big data solutions.

Contact

Skills

Core Skills

CloudTechnical Support

Other Skills

Apache CassandraDataStax EnterpriseApache PulsarAWSAzureGCPPythonAnsiblePrometheusGrafanaSplunkAIDistributed ComputingCloud ArchitecturesLinux

About

I’m a Cloud & Distributed Systems Engineer with hands-on experience across AWS, GCP, and Azure, specializing in Linux systems engineering, OpenShift/Kubernetes orchestration, Ansible/Terraform automation, Python tooling, and multicloud networking. I work extensively with distributed data and big data ecosystems that include Apache Cassandra, DSE, Astra DB, Pulsar, Spark, and large-scale streaming/analytics pipelines by designing and supporting resilient, scalable, and automated infrastructure across mission-critical environments.

Experience

3 yrs 10 mos

Total Experience

1 yr 6 mos

Average Tenure

9 mos

Current Experience

Ibm

Cloud - Technical Support Professional

Aug 2025 – Present · 9 mos · Atlanta, Georgia, United States · Remote

Providing end-to-end technical support for Apache Cassandra, DataStax Enterprise (DSE), and Apache Pulsar clusters deployed across AWS, Azure, and GCP. Responsible for troubleshooting distributed database and networking issues, managing TLS encryption, API integrations, and multi-datacenter replication. Automating monitoring and remediation workflows using Python and Ansible to improve reliability and reduce incident resolution time. Utilizing Prometheus, Grafana, and Splunk for proactive alerting, performance tuning, and root-cause analysis. Collaborating with engineering and SRE teams to validate patches, optimize configurations, and enhance observability across hybrid cloud environments.
Working closely with SRE, product engineering, and platform teams to validate software patches, optimize configuration baselines, and maintain operational excellence. Contributing to runbooks, technical documentation, and CI/CD workflows using GitHub Actions and JIRA to improve internal support efficiency and product reliability.

Apache CassandraDataStax EnterpriseApache PulsarAWSAzureGCP+7

Datastax

Cloud Support Engineer

Jan 2025 – Jul 2025 · 6 mos · Atlanta, Georgia, United States

Georgia state university - j. mack robinson college of business

Graduate Research Assistant

Aug 2024 – Dec 2024 · 4 mos · Atlanta, Georgia, United States · On-site

Focused on AI systems, distributed computing, and scalable cloud architectures.
Studied production-grade system reliability, automation strategies, and applied machine learning for real-world decision systems.
Worked on projects involving:
API integrations and automation scripting in Python
Monitoring & observability design
Performance optimization in distributed environments
AI-enabled analytics for business problem solvin

Red hat

3 roles

Technical Support Engineer

Promoted

Oct 2023 – Jul 2024 · 9 mos

Leveraging Ansible, I excel in configuration management, application deployment, and infrastructure automation. Additionally, my networking knowledge optimizes Ansible deployments, while proficiency in PostgreSQL facilitates effective database administration. Familiarity with containerization technologies like Docker and Podman, combined with cloud computing proficiency, allows me to drive innovative solutions for scalable and resilient deployments. With knowing in DevOps methodologies, I streamline deployment pipelines and foster collaboration between teams.

AnsibleLinuxPostgreSQLDockerPodmanTechnical Support