7 Performance Tuning jobs in Hyderabad

1. Performance Tuning & Troubleshooting:

Must have expertise in Database performance tuning, SQL query tuning and performance optimization using AWR, ASH, and ADDM reports .

Troubleshoot GoldenGate replication lag, database connectivity, and execution plan issues .

Use Oracle Enterprise Manager (OEM) and OCI Monitoring tools for proactive monitoring.

2. Oracle GoldenGate (OGG) Implementation & Management:

Design and implement real-time data replication using Oracle GoldenGate for heterogeneous environments .

Configure Extract, Pump, and Replicate processes for both unidirectional and bidirectional replication .

Monitor, troubleshoot, and optimize GoldenGate replication performance .

Implement conflict detection and resolution in multi-master replication environments.

3. Oracle 23ai ATP & ADW Expertise:

Deploy, configure, and optimize Oracle Autonomous Transaction Processing (ATP) and Autonomous Data Warehouse (ADW) on OCI .

Implement automated performance tuning, auto-scaling, and security policies for ATP & ADW.

Utilize Oracle Machine Learning (OML) features in 23ai ADW for data analytics and AI-driven insights.

Ensure seamless data integration, migration, and replication between ATP, ADW, and on-prem databases .

4. Oracle Cloud Infrastructure (OCI) Database Management:

Deploy and manage OCI-based database services , including DBaaS, Exadata, and Oracle Autonomous Database .

Configure OCI networking, IAM roles, security groups, and database encryption .

Automate database provisioning and management using Terraform, Ansible, or OCI CLI .

Implement database migration strategies using OCI Data Transfer, Data Pump, or GoldenGate Cloud Service .

5. Oracle Database Engineering & Administration:

Install, configure, and manage Oracle databases (19c, 21c, and 23ai ATP/ADW) in OCI environments .

Perform database performance tuning, indexing, and optimization for high efficiency.

Implement backup and recovery strategies using RMAN and OCI Backup Service.

Ensure high availability (HA) and disaster recovery (DR) with Data Guard, Flashback, and OCI-based solutions .

6. Security & Compliance:

Implement data encryption, masking, and role-based access control (RBAC) in ATP, ADW, and OCI databases.

Ensure compliance with industry security standards (GDPR, HIPAA, PCI-DSS, and CIS benchmarks) .

Conduct database patching, security updates, and vulnerability assessments .

Career Level - IC4

Required Skills & Experience:

10+ years of experience in Oracle Database Administration and Engineering .
Expertise in Oracle GoldenGate (OGG) for real-time data replication .
Hands-on experience with Oracle 23ai ATP (Autonomous Transaction Processing) and ADW (Autonomous Data Warehouse) .
Strong knowledge of SQL, PL/SQL, query optimization, and database tuning .
Experience with RMAN, Data Guard, and Oracle Enterprise Manager (OEM) .
Hands-on experience with OCI-based database solutions and Terraform/Ansible for automation .
Familiarity with cloud networking, security policies, and IAM roles in OCI .

Preferred Qualifications:

Experience with Kafka, Oracle Stream Analytics, or other real-time data streaming technologies .
Knowledge of PostgreSQL, MySQL, or NoSQL databases like MongoDB, Cassandra .
Hands-on experience with DevOps tools (Jenkins, Docker, Kubernetes) for database automation .
Oracle Certifications (OCP, OCI Architect, or OGG Specialist) are highly desirable.

Educational Qualification:

Bachelor’s / Master’s degree in Computer Science, IT, or a related field .

Career Level - IC4

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer.

In this role, you will:

Be responsible for all stages of the technical project performance lifecycle and non-functional requirement testing/management. This includes and not limited to executing the projects professionally, managing risks, stakeholders, planning and completing all project reporting in line with standards and to high levels of quality. 

Responsible for end to end performance testing and engineering life cycle - technical scoping, performance scripting, testing and tuning

Experienced in performance program management

Able to analyse the performance assessment results and provide recommendations to improve performance or save infrastructure costs

Able to provide support in product/application design from performance point of view

Able to communicate plans, statuses and results as per target audience

Willing to adapt, learn new technologies/trades and be flexible to work on projects as demanded by business

Requirements

To be successful in this role, you should meet the following requirements:

Strong technical understanding of performance testing and engineering methodology

Jmeter/HP VUGen automation development and proficiency in scripting protocol - Web/HTTP, Java. Knowledge of other protocols is a plus.

JVM and DB performance analysis and ability to spot issues or improvement areas

Knowledge of JIRA and Confluence 

Good hands-on knowledge of Java and C. Python and Shell scripting knowledge is a plus

Operating systems - Linux and Windows

The successful candidate will also meet the following requirements:

Other programming languages/scripting language ( bash, shell, python etc)

JVM/Garbage Collection working, Heapdump/Javacore analysis, and Database/SQL

Performance and network monitoring tools AppDynamics, vmstat, sar, permon

Basic understanding of technical infrastructure and application working on it VMs, MQ, WAS, DB, WMB etc

Code profiling tools like Yourkit profiler or any other industry tools

Application development background

Knowledge of AppDynamics configuration is a plus

Cloud knowledge GCP/AWS/Azure is added advantage. Any relevant certification is a plus

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer.

In this role, you will:

Be responsible for all stages of the technical project performance lifecycle and non-functional requirement testing/management. This includes and not limited to executing the projects professionally, managing risks, stakeholders, planning and completing all project reporting in line with standards and to high levels of quality. 

Responsible for end to end performance testing and engineering life cycle - technical scoping, performance scripting, testing and tuning

Experienced in performance program management

Able to analyse the performance assessment results and provide recommendations to improve performance or save infrastructure costs

Able to provide support in product/application design from performance point of view

Able to communicate plans, statuses and results as per target audience

Willing to adapt, learn new technologies/trades and be flexible to work on projects as demanded by business

Requirements

To be successful in this role, you should meet the following requirements:

Strong technical understanding of performance testing and engineering methodology

Jmeter/HP VUGen automation development and proficiency in scripting protocol - Web/HTTP, Java. Knowledge of other protocols is a plus.

JVM and DB performance analysis and ability to spot issues or improvement areas

Knowledge of JIRA and Confluence 

Good hands-on knowledge of Java and C. Python and Shell scripting knowledge is a plus

Operating systems - Linux and Windows

The successful candidate will also meet the following requirements:

Other programming languages/scripting language ( bash, shell, python etc)

JVM/Garbage Collection working, Heapdump/Javacore analysis, and Database/SQL

Performance and network monitoring tools AppDynamics, vmstat, sar, permon

Basic understanding of technical infrastructure and application working on it VMs, MQ, WAS, DB, WMB etc

Code profiling tools like Yourkit profiler or any other industry tools

Application development background

Knowledge of AppDynamics configuration is a plus

Cloud knowledge GCP/AWS/Azure is added advantage. Any relevant certification is a plus

**Job Description**
**Customer Success Database Performance Engineer (Customer Success Services)**
The Customer Success Database Performance Engineer position focuses on reactive engagements for Oracle OMCS applications customers utilizing Oracle's Cloud Infrastructure. The responsibilities require the candidate to work directly with customers and have a solid understanding of the Oracle Applications and Database support processes. The CSM achieves this success by collaborating across Oracle lines of business and keeping executive management up to date on customer activity.
In this role, you will be responsible for providing solutions to CSS customers where database performance is an underlying causation of our customers dissatisfaction with contracted CSS services.
**Additional Responsibilities:**
+ Main contact for Oracle customers during Hyper Care engagements.
+ Manages the accountability for both Global Application Delivery Services and customers.
+ Develop and maintain relationships with senior management across lines of business and third parties.
+ Plan and deploy support activities to ensure effective delivery of a partnership with the customer.
+ Advise our customers regarding database performance topics and provide solutions
**Qualifications**
+ 10+ years of database administrator, support of databases or database development
+ Cloud Technical knowledge
+ Experience within a Service Delivery environment
+ Must be a Self Starter who can demonstrate the ability to work autonomously and independently
+ Previous experience with Oracle Solutions is preferred.
Career Level - IC5
Career Level - IC5
**Responsibilities**
Main escalation contact for Oracle customers customers with OMCS provided services where database performance is perceived to negatively affect these services.
Career Level - IC5
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Customer Success Database Performance Engineer (Customer Success Services)
The Customer Success Database Performance Engineer position focuses on reactive engagements for Oracle OMCS applications customers utilizing Oracle's Cloud Infrastructure. The responsibilities require the candidate to work directly with customers and have a solid understanding of the Oracle Applications and Database support processes. The CSM achieves this success by collaborating across Oracle lines of business and keeping executive management up to date on customer activity.
In this role, you will be responsible for providing solutions to CSS customers where database performance is an underlying causation of our customers dissatisfaction with contracted CSS services.
Additional Responsibilities:

Main contact for Oracle customers during Hyper Care engagements.

Manages the accountability for both Global Application Delivery Services and customers.

Develop and maintain relationships with senior management across lines of business and third parties.

Plan and deploy support activities to ensure effective delivery of a partnership with the customer.

Advise our customers regarding database performance topics and provide solutions

Qualifications

10+ years of database administrator, support of databases or database development

Cloud Technical knowledge

Experience within a Service Delivery environment

Must be a Self Starter who can demonstrate the ability to work autonomously and independently

Previous experience with Oracle Solutions is preferred.

Career Level - IC5

Career Level - IC5

Main escalation contact for Oracle customers customers with OMCS provided services where database performance is perceived to negatively affect these services.

Career Level - IC5

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Senior Software Architect – GPU Kernel Optimization & Distributed AI Systems THE TEAM: Join AMD’s high-impact team at the heart of innovation in AI, ML, and high-performance computing (HPC). We’re a collaborative group of software architects and GPU engineers focused on pushing the boundaries of AI model performance across distributed, GPU-accelerated platforms. Our work drives the next generation of AMD’s AI software stack, enabling large-scale machine learning training and inference workloads in data centers and enterprise environments. THE ROLE: As a Senior Software Developer, you will develop both GPU kernel-level optimization and distributed software efforts for large-scale AI workloads. This is a technical leadership role with direct influence over critical software components in AMD’s AI stack. You’ll architect and implement optimized compute kernels, guide software teams through the full product lifecycle, and work closely with internal and external partners to deploy scalable, high-performance solutions. THE PERSON: We’re looking for a highly skilled, deep systems thinker who thrives in complex problem domains involving parallel computing, GPU architecture, and AI model execution. You are confident leading software architecture decisions and know how to translate business goals into robust, optimized software solutions. You’re just as comfortable writing performance-critical code as you are guiding agile development teams across product lifecycles. Ideal candidates have a strong balance of low-level programming, distributed systems knowledge, and leadership experience—paired with a passion for AI performance at scale. KEY RESPONSIBILITIES: GPU Kernel Optimization: Develop and optimize GPU kernels to accelerate inference and training of large machine learning models while ensuring numerical accuracy and runtime efficiency. Multi-GPU and Multi-Node Scaling: Architect and implement strategies for distributed training/inference across multi-GPU/multi-node environments using model/data parallelism techniques. Performance Profiling: Identify bottlenecks and performance limitations using profiling tools; propose and implement optimizations to improve hardware utilization. Parallel Computing: Design and implement multi-threaded and synchronized compute techniques for scalable execution on modern GPU architectures. Benchmarking & Testing: Build robust benchmarking and validation infrastructure to assess performance, reliability, and scalability of deployed software. Documentation & Best Practices: Produce technical documentation and share architectural patterns, code optimization tips, and reusable components. PREFERRED EXPERIENCE: Software Team Leadership Collaboration with customers and business units to define deliverables and roadmaps. Interfacing with executive leadership on program progress and strategic planning. Experience in production-level software deployment (e.g., upstreaming to open source, commercial rollouts). Software Architecture Deep experience with GPU kernel optimization in C++12/17/20. Working knowledge of frameworks such as PyTorch, vLLM, Cutlass, Kokkos. Practical expertise in CPU/GPU architecture and system-level performance tuning. Proficiency in Python scripting and infrastructure automation. Application of software design patterns and industry-standard engineering practices. GPU & Low-Level Optimization Hands-on experience with CUDA and low-level GPU programming. Kernel optimization in assembly and tight loops for latency-sensitive code. Proficiency with performance profiling tools (Nsight, VTune, Perf, etc.). Experience with distributed computing strategies in AI environments (multi-GPU, NCCL, MPI). Strong debugging, problem-solving, and performance tuning skills in complex systems. ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field. Advanced degrees or published work in HPC, GPU computing, or AI systems is a plus. #LI-NR1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.Senior Software Architect – GPU Kernel Optimization & Distributed AI Systems THE TEAM: Join AMD’s high-impact team at the heart of innovation in AI, ML, and high-performance computing (HPC). We’re a collaborative group of software architects and GPU engineers focused on pushing the boundaries of AI model performance across distributed, GPU-accelerated platforms. Our work drives the next generation of AMD’s AI software stack, enabling large-scale machine learning training and inference workloads in data centers and enterprise environments. THE ROLE: As a Senior Software Developer, you will develop both GPU kernel-level optimization and distributed software efforts for large-scale AI workloads. This is a technical leadership role with direct influence over critical software components in AMD’s AI stack. You’ll architect and implement optimized compute kernels, guide software teams through the full product lifecycle, and work closely with internal and external partners to deploy scalable, high-performance solutions. THE PERSON: We’re looking for a highly skilled, deep systems thinker who thrives in complex problem domains involving parallel computing, GPU architecture, and AI model execution. You are confident leading software architecture decisions and know how to translate business goals into robust, optimized software solutions. You’re just as comfortable writing performance-critical code as you are guiding agile development teams across product lifecycles. Ideal candidates have a strong balance of low-level programming, distributed systems knowledge, and leadership experience—paired with a passion for AI performance at scale. KEY RESPONSIBILITIES: GPU Kernel Optimization: Develop and optimize GPU kernels to accelerate inference and training of large machine learning models while ensuring numerical accuracy and runtime efficiency. Multi-GPU and Multi-Node Scaling: Architect and implement strategies for distributed training/inference across multi-GPU/multi-node environments using model/data parallelism techniques. Performance Profiling: Identify bottlenecks and performance limitations using profiling tools; propose and implement optimizations to improve hardware utilization. Parallel Computing: Design and implement multi-threaded and synchronized compute techniques for scalable execution on modern GPU architectures. Benchmarking & Testing: Build robust benchmarking and validation infrastructure to assess performance, reliability, and scalability of deployed software. Documentation & Best Practices: Produce technical documentation and share architectural patterns, code optimization tips, and reusable components. PREFERRED EXPERIENCE: Software Team Leadership Collaboration with customers and business units to define deliverables and roadmaps. Interfacing with executive leadership on program progress and strategic planning. Experience in production-level software deployment (e.g., upstreaming to open source, commercial rollouts). Software Architecture Deep experience with GPU kernel optimization in C++12/17/20. Working knowledge of frameworks such as PyTorch, vLLM, Cutlass, Kokkos. Practical expertise in CPU/GPU architecture and system-level performance tuning. Proficiency in Python scripting and infrastructure automation. Application of software design patterns and industry-standard engineering practices. GPU & Low-Level Optimization Hands-on experience with CUDA and low-level GPU programming. Kernel optimization in assembly and tight loops for latency-sensitive code. Proficiency with performance profiling tools (Nsight, VTune, Perf, etc.). Experience with distributed computing strategies in AI environments (multi-GPU, NCCL, MPI). Strong debugging, problem-solving, and performance tuning skills in complex systems. ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field. Advanced degrees or published work in HPC, GPU computing, or AI systems is a plus. #LI-NR1
Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.