Backend Sotware Developer

ORAchk Job description:
In this era of cloud and big data computing, systems supporting complex IT environments become larger, more complex, and numerous, often with many hosts clustered into a single system or distributed among different data centers, it’s challenging to keep systems healthy and respond to problems quickly. With hundreds of interconnected components, misconfiguration can cause problems while running the system and has a serious business impact. When problems occur it can be difficult and time-consuming for those managing these systems to isolate the issue and know which diagnostics to collect.

Our team designed and develop the Autonomous Health Framework(AHF) product to monitor and keep Oracle database infrastructure healthy and running. AHF has many components like Trace File Analyzer, ORAChk, EXAchk, CHM, hang manager, etc. EXAchk proactively checks the health of the database infrastructure to avoid any issues before it causes an outage. It is designed to do periodic runs and these runs produce lots of data about Database systems like versions, platforms, patches, parameters, network configurations, disk configuration, etc. We also build analytics and machine learning models based on the history of data gathered by the EXAchk component and which helps in providing predictions for resource usage and workload etc.

**Desired Skill Set**:
**Should have development experience of 7 months - 2 years.**

**Should be very good at Python**

**Should be very good at SQL, PL/SQL**

**Solid foundation in data structures, algorithms**

**Write clean code, test-driven development**

**Good understanding of the Unix operating system
**TFA Collector Job description**:
Oracle Autonomous Health Framework combines a set of tools built upon applied machine learning that that are created to assist Oracle Administrators to maintain a 24x7 database Service. Oracle Trace File Analyzer Collector (TFAC) runs on thousands of database systems across the world monitoring for issues and generating diagnostic collections for both on site analysis and upload to Oracle support and development organizations for analysis and resolution recommendation generation. TFAC works on single node implementations or across cluster nodes to generate cluster aware collections in all the Oracle Database Cloud services, providing metrics for alerting operations as well as providing the required evidence for analysis.

Important features are:

- Multi Node Capability to resolve issues from multiple nodes in to one Collection.
- Targeted diagnostic collections for specific problem types.
- Monitoring of Oracle Database and Clusterware resources with auto collection of evidence for issues seen.
- Monitoring of Oracle Database and Clusterware resources, with generation of telemetry data for consumption by 3rd parties to generate alarms/Notificiations.
- Auto upload to various Endpoints, such as Support Gateways or Object Store

In TFA Collector team responsibilities include:

- Development of new collection drivers.
- Development of REST APIs
- Improvements to existing features
- Working with SMEs to enhance current collections, or generate new ones.
- Devops for TFAC deployments in OCI cloud

**Requirements**:

- **Knowledge of Linux Operating System.**:

- **Ability to Code in Java and Python is a must.**:

- **Highly adaptable, strong desire to learn.**:

- **Excellent written and verbal communications skills.**:

- **Must be able to work efficiently with global teams across multiple time zones.**:

- **Software engineering, design and development experience with strong focus on quality.**:

- **Excellent debugging and troubleshooting skills.**:

- **Experience with Test Driven Development.**

**Preferred**:

- **Knowledge of SQL is a big plus**:

- **Knowledge of Oracle database, cluster ware**:

- **Proficiency in Perl**:

- **Knowledge of Windows Operation System**

ORAchk Job description:
In this era of cloud and big data computing, systems supporting complex IT environments become larger, more complex, and numerous, often with many hosts clustered into a single system or distributed among different data centers, it’s challenging to keep systems healthy and respond to problems quickly. With hundreds of interconnected components, misconfiguration can cause problems while running the system and has a serious business impact. When problems occur it can be difficult and time-consuming for those managing these systems to isolate the issue and know which diagnostics to collect.

Our team designed and develop the Autonomous Health Framework(AHF) product to monitor and keep Oracle database infrastructure healthy and running. AHF has many components like Trace File Analyzer, ORAChk, EXAchk, CHM, hang manager, etc. EXAchk proactively checks the health of the database infrastructure to avoid any issues before it causes an outage. It is designed to do periodic runs and these runs produce lots of data about Database systems like versions, p