performance engineer

Buro Happold

<div>Want to shape the future of sustainable buildings while working with some of the most sought-after minds? Your expertise in energy efficiency and building performance could make you the perfect addition to our Middle East Buildings Environment team as a Building Performance Graduate Engineer. 
Here at Buro Happold, expect the exceptional.
From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world. From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary. 
Your next role
Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive.
You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy. 
Your key duties
We are seeking an enthusiastic and energetic graduate who is passionate about building performance engineering and committed to net-zero carbon design. You&rsquo;ll play a key role in shaping the design and operation of buildings for energy efficiency, human comfort, and well-being. 
You will work alongside senior team members to design low-carbon building service solutions, using cutting-edge energy modeling and building simulation techniques. Your responsibilities will include:<ul><li>
Conducting energy and carbon modeling using tools like IES-VE.</li><li>
Performing thermal comfort and fa&ccedil;ade optimization studies.</li><li>
Analyzing daylight, natural ventilation, passive cooling, and mixed-mode strategies.</li><li>
Assessing sustainability and environmental impact through LEED, WELL, Mostadam, Estidama, and Passivhaus frameworks.</li><li>
Supporting post-occupancy evaluations, operational energy modeling, and energy audits.</li><li>
Researching building technologies, data analytics, and climate resilience strategies.</li></ul> 
Your skills and experience<ul><li>
Experience with IES-VE and parametric modeling tools (Rhino, Grasshopper).</li><li>
Understanding of ASHRAE 90.1, CIBSE TM54, and NABERS-UK frameworks.</li><li>
Knowledge of building services, energy systems, and HVAC optimization.</li><li>
Passion for net-zero carbon strategies and building performance evaluation</li><li>
Engineering background in Building Services/MEP Engineering, Mechanical Engineering, Electrical Engineering, Physics, Engineering Design, Engineering Science, Environmental Engineering, or Architectural Engineering.</li><li>
Strong report writing and interpersonal skills</li><li>
Communicate fluently and positively in clear English</li><li>
Quick, innovative problem-solving skills</li><li>
Collaborate to build strong relationships with colleagues, clients, and contractors</li><li>
Promote a culture of added value and innovation</li><li>
Understand workplace and on-site Health and Safety</li></ul> 
Preferred Skills:<ul><li>
Familiarity with LEED, WELL, Mostadam, Estidama certifications.</li><li>
Experience with energy audits, ISO 50001, NABERS-UK, and building performance evaluation.</li><li>
Basic understanding of HVAC controls, metering, and system integration.</li><li>
Interest in coding, machine learning, and parametric modeling for energy efficiency.</li></ul> 
What we offer you<ul><li>
Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.</li><li>
Hybrid working arrangements</li><li>
Attractive salary and benefits package</li><li>
A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you</li><li>
Entitlement to two memberships to professional bodies or subscriptions</li><li>
An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.</li></ul> 
At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy.
A place for everyone
Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance. We welcome applications from those who are seeking flexibility in their careers.
Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive.
We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application.</div>

Graduate Building Performance Engineer

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
 
 
 With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
 
 
 For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
 
 
 
 About The Role
 
 
 
 The Senior Performance Engineer designs and develops performance scripts for core banking, digital channel, open banking, cards, and payment flows. This role runs load, stress, spike, and endurance cycles, and produces detailed analytical reports to guide infrastructure and application tuning.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop performance test scripts for core banking, digital channels, open banking, cards, and payment flows
 </li>
 <li>
 Parameterise scripts with masked/synthetic test data aligned with SAMA requirements
 </li>
 <li>
 Execute load testing at 100%, 150%, and 200% of expected peak load (Ramadan, salary day scenarios)
 </li>
 <li>
 Run stress tests to identify breaking points and system behaviour under extreme conditions
 </li>
 <li>
 Execute spike tests simulating sudden traffic bursts and endurance tests (8-24 hours) for memory leak detection
 </li>
 <li>
 Correlate application metrics with load profiles using AppDynamics/HP BSM monitoring hooks
 </li>
 <li>
 Identify bottlenecks at application, database, and infrastructure layers
 </li>
 <li>
 Produce detailed analysis reports with charts, findings, and specific tuning recommendations
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of performance engineering experience
 </li>
 <li>
 Expert in JMeter and/or Gatling script development with complex correlation and parameterisation
 </li>
 <li>
 Experience with AppDynamics or equivalent APM tools for server-side diagnostics
 </li>
 <li>
 Strong analytical skills for interpreting response time distributions, throughput curves, and resource utilisation
 </li>
 <li>
 Experience scripting against banking APIs, web services, and payment gateway integrations
 </li>
 <li>
 Familiarity with CI-integrated performance testing (Jenkins pipeline gates)
 </li>
 <li>
 Preferred Certifications: Certified JMeter Professional, Gatling Academy Certified, AppDynamics Specialist
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution
 </li>
 <li>
 Be part of a team that's shaping the future of AI-enabled test automation in the MENA region
 </li>
 <li>
 Collaborate with world-class QA professionals across onsite and offsite delivery models
 </li>
 <li>
 Access to continuous upskilling &mdash; certifications, AI/ML tooling, and emerging QA methodologies
 </li>
 <li>
 Competitive compensation with performance-linked incentives and career progression pathways
 </li>
 <li>
 A culture that values technical excellence, ownership, and innovation without bureaucracy
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
 
 
 All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.
</div>

Senior Performance Engineer - JMeter | Gatling | APM

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About us
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We are hiring an AI Performance Engineers at multiple levels to join our dynamic, collaborative team.
This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
<ul><li>Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.
</li><li>Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
</li><li>Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints.
</li><li>Mapping the next generation AI workloads on top of current and future hardware designs.
</li><li>Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
</li><li>Analyze complex performance or stability issues to work towards final root cause of underlying problems.
</li><li>Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time.
</li><li>Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.
</li></ul>You will demonstrate the following:
<ul><li>Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments.
</li><li>Deep understanding of transformer architectures, attention mechanisms and performance trade-offs.
</li><li>Experience in workload mapping strategies exhibiting sharding or various parallelisms.
</li><li>Strong Python programming skills.
</li><li>Proactive learning about the latest inference optimization techniques.
</li><li>Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
</li><li>Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment.
</li><li>MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
</li></ul>Bonus Skills:
<ul><li>Background in neural network operators and mathematical operations, including linear algebra and math libraries.
</li><li>Understanding of machine learning compilers.
</li><li>Experience in converging accuracy and its evaluation methods.
</li><li>Knowledge of torch.compile or torchDynamo.
</li><li>PhD in Computer Science, Computer Engineering or Machine Learning
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

AI Performance Engineer (Competitive & Network Analysis) - Riyadh, KSA

ALI A. AL-ZAYER & PARTNER CO

Job SummaryThe Process Performance Engineer is a mid-level professional responsible for the routine technical evaluation, monitoring, and troubleshooting of unit operations. This role focuses on ensuring that all processing units and utilities operate efficiently, meet performance targets, and adhere to environmental and safety standards. The engineer will provide regular technical analysis and support to the Operations team.Key Responsibilities and Scope of EvaluationThe successful candidate will focus on the performance monitoring and evaluation of the following critical units and systems:I. Core Processing &amp; Conversion Units<ul><li>Routine Performance Monitoring: Track and evaluate daily performance, yields, and key operating parameters for major units including:</li><li>Distillation: CDU+VDU (Crude &amp; Vacuum Distillation)</li><li>Hydroprocessing: LP HDS, HP HDS, NHDT (Naphtha Hydrotreating)</li><li>Conversion: CCRU-131 (Catalytic Reformer), FCC U-61 (Catalytic Cracking), MHC U-051 (Mild Hydrocracker), DCU U-21 (Delayed Coker)</li><li>Troubleshooting Support: Provide first-level analysis and technical support to resolve operational deviations and identify root causes for routine performance dips.</li></ul>II. Treating, Recovery, and Specialties<ul><li>Efficiency Analysis: Conduct regular material and energy balance checks for gas, treating, and recovery units:</li><li>Sulfur &amp; Treating: SGP (Saturated Gas Plant), AMINE REG, SRU (Sulfur Recovery), SWS (Sour Water Stripper), SAR (Sulfuric Acid Recovery).</li><li>Specialty Units: BENZ EX 141 (Benzene Extraction), PARAXYLENE U-301, ALKY UNIT (Alkylation).</li><li>Compliance Review: Monitor unit performance against environmental permits and internal specifications, particularly for flare (FL) and waste (WW) stream compositions.</li></ul>III. Utilities and Infrastructure<ul><li>Reliability Monitoring: Evaluate the operational status and efficiency of critical utility systems:</li><li>DHC U-041 (Hydrogen Production) and HPU &amp; PSA (Off-gas Pressure Swing Absorber).</li><li>CW (Cooling Towers), WW (Water Treatment), BFW (Boiler Feed Water), N2 &amp; DM (Nitrogen &amp; DEMIN System), Boiler.</li><li>Data Analysis: Compile and analyze operational data from Tank Forms, Coke Handling (661), and SLF (Storage loading Facility) to support inventory and throughput planning.</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsWork Location: In person

Senior Engineer - Operations

techire.®

<div>
 
 
 ML Model Serving Engineer
 
 
 
 
 
 
 Want to build the layer that actually makes AI usable in real time?
 
 
 
 
 
 You&rsquo;ll join a team focused on inference, where performance is the product. This is about delivering low-latency, high-throughput systems across LLMs, speech, and vision models running in production, not offline experiments.
 
 
 
 
 
 They&rsquo;re building real-time AI systems that need to respond instantly, reliably, and at scale. That means solving hard problems around batching, GPU efficiency, memory constraints, and system-level bottlenecks that most teams never fully crack.
 
 
 
 
 
 You&rsquo;ll sit at the core of the platform, working across model serving, infrastructure, and performance optimisation. A big part of the role is pushing current tooling beyond its limits, extending frameworks, profiling bottlenecks, and designing systems that hold up under real-world load.
 
 
 
 
 
 This is not about training models. It&rsquo;s about making them fast, efficient, and production-ready.
 
 
 
 
 
 
 What you&rsquo;ll work on:
 
 
 <ul>
 <li>
 Building high-performance serving systems for LLM, speech, and vision models
 </li>
 <li>
 Scaling inference to production workloads with strict latency requirements
 </li>
 <li>
 Optimising GPU utilisation and execution efficiency
 </li>
 <li>
 Implementing techniques like continuous batching, KV cache optimisation, speculative decoding, and prefill/decode separation
 </li>
 <li>
 Improving frameworks such as vLLM, TensorRT-LLM, Triton, and SGLang
 </li>
 <li>
 Profiling and debugging performance across GPU, memory, and system layers
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring:
 
 
 <ul>
 <li>
 Strong experience with ML inference or model serving systems
 </li>
 <li>
 Deep understanding of latency and throughput optimisation in production
 </li>
 <li>
 Solid Python and PyTorch skills, plus a systems or performance engineering mindset
 </li>
 <li>
 Familiarity with distributed systems and production infrastructure
 </li>
 </ul>
 
 
 
 
 Exposure to CUDA, GPU profiling tools, or systems like Kubernetes and Ray is useful, but the key is knowing how to make models run efficiently at scale.
 
 
 
 
 
 You&rsquo;ll join a highly technical team with experience across major AI labs and big tech. The environment is pragmatic, focused on solving real performance problems rather than abstract research.
 
 
 
 
 
 There&rsquo;s real ownership here. You&rsquo;ll help define how next-generation AI systems are served.
 
 
 
 
 
 
 Package:
 
 
 
 $220,000 &ndash; $320,000 base + equity
 
 
 San Francisco, onsite 3 days per week
 
 
 
 
 
 If you&rsquo;re interested in working on the part of AI that actually determines whether it works in the real world, this is worth exploring.
 
 
 
 
 
 All applicants will receive a response.
 
</div>

Machine Learning Engineer

Intel Corporation

<div><h1 class="jobSectionHeader">Job Details:
</h1><h2 class="jobSectionHeader">Job Description:
</h2><div>The Compiler Engineering team in Software and AI Group at Intel has an opportunity available for a Compiler Engineer.
 
 
The Intel Compiler Engineering Team is a high performing team responsible for the creation of the industry-leading Intel C/C++/DPC++ and Fortran Compilers, and is a leader in LLVM.org, the basis of our compiler products. We are continually pushing the boundaries of compiler technology in support of providing maximally useful and performant compilers for all of Intel's processor platforms, both CPU and GPUs.
 
 
In this role you will help us to provide strong support for the Intel Compiler products going forward: you will be responsible for analysis of applications and benchmarks, as well as definition, design, development, test, debugging, release, enhancement, and maintenance of software compiler tools for general purpose and domain specific programming languages targeting Intel CPUs. You may work directly with hardware design teams, other companies and open source communities developing compilers, and participate in programming language and standards groups.
 
 
Your responsibilities will include, but not be limited to:
 
<ul><li>Feature development and resolving of compiler software defects;
</li><li>Discovering opportunities to improve performance of compiler generated code;
</li><li>Carrying out functional and performance experiments, tests, including stress tests;
</li><li>Cross-geo collaboration with engineering, validation and performance teams across Intel to ensure product quality and performance.
</li></ul></div>Professional Traits:
<ul><li>Demonstrated strong problem-solving and debugging skills, ability to pro-actively pursue solutions;
</li><li>Proven ability to work independently.
</li></ul><h2 class="jobSectionHeader">Qualifications:
</h2><div>Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
 
 
Minimum Qualifications:
 
<ul><li>Bachelor's degree in Computer Science, Applied Mathematics, Informatics or a related technical discipline;
</li><li>4+ years of experience in C/C++, object-oriented programming, data structures and development of production-quality compilers, tools, or similar software;
</li></ul> 
Preferred Qualifications:
 
<ul><li>Master's degree or PhD. in Computer science or Computer Science/Electrical Engineering or related field;
</li></ul></div><ul><li>Experience in software optimizations for CPU performance;
</li><li>Experience with vectorization and parallel programming models, such as OpenMP;
</li><li>Experience in the following areas: compiler development for CPU targets (LLVM compiler framework), linkers, assembler;
</li><li>Experience in compiler optimizations and code generation for efficient CPU HW performance, and CPU architecture knowledge;
</li><li>Experience in performance analysis using profiler tools (e.g. perf and/or others).
</li></ul> 
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. 
<h2 class="jobSectionHeader">Job Type:
</h2>Experienced Hire
<h2 class="jobSectionHeader">Shift:
</h2>Shift 1 (United States of America)
<h2 class="jobSectionHeader">Primary Location:
</h2>US, California, Santa Clara
<h2 class="jobSectionHeader">Additional Locations:
</h2>US, Arizona, Phoenix, US, California, Folsom, US, Massachusetts, Beaver Brook, US, Oregon, Hillsboro
<h2 class="jobSectionHeader">Business group:
</h2>At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
<h2 class="jobSectionHeader">Posting Statement:
</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader">Position of Trust
</h2>N/A
<h2 class="jobSectionHeader">Benefits
</h2>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel . 
Annual Salary Range for jobs which could be performed in the US: $173,660.00-245,160.00 USD 
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. 
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
<ul><li></li></ul>ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.</div>

Compiler Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
About the Role
The APM &amp; Observability Engineer sets up monitoring hooks (AppDynamics, HP BSM), correlates application metrics with load profiles, identifies bottlenecks at application, database, and infrastructure layers, and provides actionable tuning recommendations. This role ensures performance visibility across every layer of the Client's technology stack.
Key Responsibilities<ul><li>Configure and maintain monitoring hooks using AppDynamics, HP BSM, and/or Grafana for performance test observability.</li><li>Correlate application-level metrics (response times, error rates, thread pools) with infrastructure metrics (CPU, memory, DB connections) during load tests.</li><li>Identify bottlenecks at application, database, middleware, and infrastructure layers during performance cycles.</li><li>Provide specific, actionable tuning recommendations based on observed metrics and thresholds.</li><li>Set up centralised performance metrics dashboards for real-time visibility during test execution.</li><li>Support post-deployment smoke performance validation during low-traffic production windows.</li><li>Document monitoring setup and facilitate knowledge transfer for the Client's operations team.</li></ul> 
Requirements<ul><li> 
6+ years of APM/observability engineering experience.</li><li>Hands-on proficiency with AppDynamics, Dynatrace, or equivalent enterprise APM platforms.</li><li>Experience with Grafana, Prometheus, or ELK stack for dashboard creation and alerting.</li><li>Strong understanding of application architectures: microservices, API gateways, middleware, database layers.</li><li>Experience correlating distributed system metrics under load conditions.</li><li>Knowledge of HP BSM monitoring for infrastructure-level observability.</li><li>Preferred Certifications: AppDynamics Certified Professional, Dynatrace Associate, Grafana Certified.</li></ul>
Why Join CodeNinja?<ul><li>Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.</li><li>Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.</li><li>Collaborate with world-class QA professionals across onsite and offsite delivery models.</li><li>Access to continuous upskilling &mdash; certifications, AI/ML tooling, and emerging QA methodologies.</li><li>Competitive compensation with performance-linked incentives and career progression pathways.</li><li>A culture that values technical excellence, ownership, and innovation without bureaucracy.</li></ul>
Disclaimer
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.</div>

APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

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