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# Sr. Support Engineer

- **Company:** NESS INC
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Confluence, JIRA, Automation of Tests, Bash Shell, Cloud Computing, Databases, Continuous Delivery, Continuous Integration, Software Debugging, DevOps, Disaster Recovery, Distributed Systems, Github, Groovy, Monitoring of Systems, Identity and Access Management, Python (Programming Language), PostgreSQL, MongoDB, OpenShift, Redis, Cloud Services, Prometheus, Data Streaming, Software Vulnerability Management, YAML, Scripting, Delivery Pipeline, Grafana, Kubernetes Helm Charts, HybridCloud, Gitlab, Git, Cloudformation, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Rancher, Atlassian Tools, Apache Kafka, Bitbucket, Cloud Migration, Functional Programming, Cloud Optimization, Cloudwatch, Api Gateway, Terraform, Splunk, Data Pipelines, Devsecops, Serverless Computing, Docker, Jenkins, Confluent, Artifactory
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-support-engineer-san-jose-ca--7f251070-548e-45fe-9647-8cceaccc94bb

## About the Role

Technical Support, DevOps, Cloud Computing, Jenkins, GitHub, Continuous Integration, Continuous Deployment/Delivery, Amazon Web Services (AWS), Performance Analysis, Identify Issues, · Strong ability to work independently or lead smaller DevOps initiatives

· Experience supporting fast-paced Agile teams with automation and tooling

· Excellent debugging and root cause analysis skills in distributed environments

· Strong communication skills, ability to interact with cross-functional teams and clients

Core Skills

· AWS (including services like EC2, Lambda, S3, API Gateway, CloudWatch, Transfer Family)

· Infrastructure as Code: Terraform, CloudFormation

· Containerization: Docker, Kubernetes (Rancher/Openshift a plus)

· CI/CD tools: Jenkins, GitHub Actions, GitLab CI

· Monitoring: Splunk, Prometheus, Grafana, CloudWatch

· Scripting: Python, Bash, Groovy, YAML

· SCM and artifact management: Git, Bitbucket, Artifactory

· Database familiarity: Postgres, Redis, MongoDB, Aurora

· Security: AWS IAM policies, DevSecOps practices, vulnerability management

Nice to Have

· Exposure to FinOps or cloud cost optimization practices

· Kafka/Confluent experience for data streaming pipelines

· Apache Airflow or MWAA

· Familiarity with Atlassian suite (JIRA, Confluence)

· Familiarity with serverless architecture patterns

· Experience with large-scale cloud migrations or hybrid architecture

What Makes You a Great Fit

· 6-10 years of experience in DevOps and infrastructure automation

· Expertise in AWS services and hybrid cloud environments

· Strong skills in CI/CD tools (Jenkins, GitHub Actions, GitLab)

· Hands-on with Infrastructure as Code (Terraform, CloudFormation)

· Proficient in containerization and orchestration (Docker, Kubernetes)

· Skilled in scripting (Python, Bash, Groovy, YAML)

· Experience with monitoring tools (Splunk, Prometheus, Grafana, CloudWatch)

· Knowledge of DevSecOps practices and security management

· Familiarity with databases like Postgres, Redis, MongoDB

· Ability to lead initiatives and troubleshoot complex distributed systems

## Description

We are seeking a highly skilled and self-driven Senior DevOps Engineer to join our engineering team and help build, optimize, and secure modern cloud infrastructure. This role is ideal for professionals who thrive in dynamic, high-impact environments and have deep hands-on experience across CI/CD pipelines, container orchestration, cloud services (especially AWS), and Infrastructure as Code. You'll lead DevOps practices across critical projects that impact millions of users and data points., · Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab

· Build and manage secure, scalable infrastructure on AWS and hybrid on-prem environments

· Create and manage Terraform-based IaC environments and Helm charts for Kubernetes deployments

· Automate infrastructure provisioning, configuration, and monitoring for performance and availability

· Lead infrastructure troubleshooting and RCA for incidents in production and staging

· Implement disaster recovery, backup, and failover strategies

· Integrate QA automation within DevOps pipelines for continuous testing

· Work closely with developers and QA teams to align DevOps pipelines with delivery needs

· Support API deployment infrastructure and data pipeline performance across services

· Monitor infrastructure and applications using tools like Splunk, CloudWatch, Prometheus, or Grafana