performance architect

Saviynt

<div>
 
 We are seeking a talented and experienced Performance Engineer to lead the design and implementation of high performance solutions across our systems, applications, and infrastructure. As a Performance Engineer, you will be
 
 
 responsible for developing performance strategies, designing scalable architectures, and ensuring optimal performance across all platforms along with leveraging AI platforms. You will collaborate with cross-functional.
 
 
 
 
 
 The candidate must have extensive experience in performance engineering, with a strong background in Performance Engineering for both backend systems and distributed environments along with hands on using AI to develop solutions and
 
 
 tools. You will lead the creation of performance test strategies, identify bottlenecks, and provide architectural solutions to meet performance objectives. The role requires a deep understanding of performance testing,
 
 
 
 
 
 
 WHAT YOU WILL BE DOING
 
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 Architect and Design performance-optimized solutions for complex systems, ensuring scalability, reliability, and cost-effectiveness
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 Define and implement performance strategies across the organization, including testing, tuning, and monitoring plans
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 Analyze system performance from end to end, identifying performance bottlenecks and providing architectural recommendations for optimization
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 Lead performance engineering efforts, ensuring robust and scalable designs through every phase of the development lifecycle
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 Leverage AI platforms to enhance and solution for performance activites
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 Collaborate with development, operations, and business teams to ensure performance standards are met throughout the infrastructure
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 Ensure the effective use of performance testing tools and monitoring solutions, including designing load models,test cases, and reporting frameworks
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 Perform architectural reviews of systems with a focus on identifying and eliminating performance bottlenecks
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 Guide the team in capacity planning and scalability strategies for current and future growth
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 Oversee the execution of benchmarking, load testing, stress testing, and endurance testing to validate performance targets
 
 
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 </ul>
 
 Technical Skills:
 
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 Performance Testing Tools: Expertise in JMeter and performance testing frameworks (e.g., Gatling,LoadRunner)
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 Programming/Scripting: Proficient in Java, JavaScript, and shell/bash for performance automation
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 Monitoring &amp; Profiling: Experience with Heap Dumps, GC Logs, and tools like Datadog, AppDynamics,Dynatrace, Grafana
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 Cloud: Familiar with AWS, GCP, or Azure for cloud performance optimizations
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 Containers &amp; Orchestration: Knowledge of Docker and Kubernetes for containerized environments
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 CI/CD Automation: Experience with GitLab, GitHub, Jenkins for integrating performance tests in CI/CD pipelines
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 AI : Any AI tools and relevant prompt engineering to leverage it for solutions and tools
 
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 </ul>
 
 
 
 
 WHAT YOU BRING
 
 <ul>
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 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Engineering, or related fields
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 12+ years of experience in performance engineering, with at least 4 to 6 years in a Performance Engineer or similar role
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 Architectural Expertise:
 
 Deep understanding of distributed systems, microservices architecture, and cloud-native environments (AWS, GCP, Azure)
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 Performance Engineering Tools
 
 : Expertise in performance tools such as JMeter, LoadRunner, Gatling, Dynatrace, AppDynamics, Datadog, Grafana, Prometheus, and custom-built tools for real-time monitoring and testing
 </li>
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 Programming and Scripting:
 
 Proficiency in Java, JavaScript, Python, or other programming languages to implement performance optimizations and automate testing and monitoring workflows
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 AI Tools :
 
 Experience in AI to develop solutions and tools to complement the performance activities
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 Cloud and Containerization:
 
 Experience with cloud platforms (AWS, GCP, Azure) and containerization/orchestration technologies like Docker and Kubernetes. Expertise in cloud-native architectures and edge service optimizations
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 Deep Analytical Skills:
 
 Ability to analyze system performance metrics (e.g., CPU usage, memory, network I/O,disk I/O, garbage collection) and provide architectural solutions to improve performance
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 Capacity Planning:
 
 Experience with capacity management and planning to ensure that systems can scale under increasing user demand without degrading performance
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 Collaboration and Leadership:
 
 Strong collaboration skills to work with developers, product managers, DevOps, and business teams. Ability to lead performance discussions and architectural improvements
 
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</div>

Associate Principal Engineer, Quality Engineering (Performance Engineer)

NorthBay Solutions

<div>Job Title: Data Architect &ndash; AWS, Data Migration &amp; Lakehouse 
Location: Dubai, UAE (100% Onsite) 
Experience Required: 14&ndash;16+ Years 
Employment Type: Full-Time
Job Summary 
We are seeking a highly experienced Data Architect with 14&ndash;16+ years of expertise to design, build, and govern enterprise-scale AWS data platforms. The ideal candidate will have strong hands-on architectural experience across AWS data services, batch and event-driven processing frameworks, orchestration, and data governance. You will lead data architecture strategy, mentor engineering teams, and ensure scalable, secure, and high-performing data solutions. 
 
Note: This role is onsite in Dubai, UAE, and candidates currently outside the UAE must be willing to relocate.
Key Responsibilities<ul><li>
Design and own end-to-end AWS data architecture for enterprise platforms</li><li>
Define data architecture standards, best practices, and reference models</li><li>
Architect batch and event-driven data pipelines using AWS native services</li><li>
Lead data ingestion, transformation, and orchestration workflows</li><li>
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)</li><li>
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift</li><li>
Design NoSQL data solutions using Amazon DynamoDB</li><li>
Implement data governance, metadata management, and access control using AWS DataZone</li><li>
Ensure monitoring, logging, and observability using Amazon CloudWatch</li><li>
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions</li><li>
Lead cloud migration and data modernization initiatives</li><li>
Ensure security, compliance, performance optimization, and cost efficiency</li><li>
Provide technical leadership, mentorship, and architecture reviews</li></ul>
Required Skills and Technologies<ul><li>
AWS Glue (ETL, Data Catalog)</li><li>
Amazon EMR (Batch Processing)</li><li>
AWS Lambda (Serverless Data Processing)</li><li>
Amazon MWAA (Apache Airflow)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon S3 (Data Lakes)</li><li>
SQL (Advanced)</li><li>
Data Modeling (Dimensional, Relational, Lakehouse)</li><li>
AWS IAM, Security, Encryption, Networking</li><li>
Distributed Data Processing</li></ul>
Experience and Qualifications<ul><li>
14&ndash;16+ years of experience in Data Engineering and Data Architecture</li><li>
Proven experience working as a Data Architect on large-scale AWS platforms</li><li>
Strong experience designing enterprise data lakes and data warehouses</li><li>
Hands-on experience with batch data processing and orchestration frameworks</li><li>
Excellent communication and stakeholder management skills</li><li>
Ability and willingness to work onsite in Dubai, UAE (relocation required if outside UAE)</li></ul>
Preferred Qualifications<ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Experience with enterprise data governance frameworks</li></ul>
JI7gwEvrHw</div>

Data Architect – AWS, Data Migration & Lakehouse

Accenture

Project Role : Large Language Model Architect 
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
 
Must have skills : Large Language Models (LLMs) 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Large Language Model Architect, you will engage in the innovative design and architecture of large language models that are capable of processing and generating natural language. Your typical day will involve collaborating with cross-functional teams to define model specifications, experimenting with various neural network architectures, and analyzing the performance of models trained on extensive datasets. You will also be responsible for troubleshooting and optimizing model performance, ensuring that the solutions you develop meet the highest standards of accuracy and efficiency. Your role will be pivotal in advancing the capabilities of natural language processing technologies within the organization. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with data scientists and engineers to refine model architecture and improve performance. - Conduct experiments to evaluate the effectiveness of different model configurations and training methodologies. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of neural network architectures and their applications in natural language processing. - Experience with training models on large datasets and optimizing for performance. - Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch. - Knowledge of data preprocessing techniques and their impact on model training. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required.
 
15 years full time education

Large Language Model Architect

Project Role : Large Language Model Architect 
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
 
Must have skills : Large Language Models (LLMs) 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Large Language Model Architect, you will engage in the innovative design and architecture of large language models that are capable of processing and generating natural language. Your typical day will involve collaborating with cross-functional teams to define model specifications, experimenting with various neural network architectures, and analyzing the performance of models trained on extensive datasets. You will also be responsible for troubleshooting and optimizing model performance, ensuring that the solutions you develop meet the highest standards of accuracy and efficiency. Your role will be pivotal in advancing the capabilities of natural language processing technologies within the organization. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with data scientists and engineers to refine model architecture and improve performance. - Conduct experiments to evaluate the effectiveness of different model configurations and training methodologies. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of neural network architectures and their applications in natural language processing. - Experience with data preprocessing techniques for large datasets. - Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch. - Ability to analyze and interpret model performance metrics to drive improvements. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

People Junction

Role Overview We are looking for a highly experienced Senior Tech Lead to own the technical vision, architecture, and delivery of our large-scale Short Video Platform. The ideal candidate must have deep hands-on expertise in the JavaScript ecosystem (Node.js/MERN), modern microservice architecture, distributed systems, and high-scale video streaming platforms.This is not a generic architect role &mdash; we need someone who has led engineering teams in JS-based ecosystems, understands real-time video platform bottlenecks, and can embed into our environment built with:<ul><li>Node.js / MERN Stack</li><li>Microservices (Event-driven &amp; API-driven)</li><li>RabbitMQ (queues, pub/sub, dead-lettering)</li><li>Redis (caching, rate-limiting, feed generation, session/data caching)</li><li>AWS Stack (S3, CloudFront, Lambda, MediaConvert, Transcoder, ECS/EKS)</li><li>FFmpeg pipelines</li><li>Short-form video delivery, ABR streaming, CDN optimization</li></ul>Key Responsibilities Platform Architecture &amp; System Design<ul><li>Architect and lead the entire technical design for a high-scale short-video platform.</li><li>Build distributed microservice systems with low-latency APIs and event-driven workflows.</li><li>Design and optimize video ingestion, transcoding pipelines, and ABR/HLS/DASH delivery.</li><li>Architect multi-region deployments (PK, MENA, upcoming markets) with automated failover.</li></ul>Video Delivery &amp; Performance<ul><li>Optimize edge caching, CDN strategies, and playback performance.</li><li>Improve latency, startup time, seek time, and QoS metrics across devices.</li><li>Define caching layers (Redis), queue workflows (RabbitMQ), and scalable data storage patterns.</li></ul>Scalability, Reliability &amp; DevOps<ul><li>Define architectural standards for fault-tolerance, retries, circuit breakers, and DR.</li><li>Ensure security-by-design across microservices, APIs, video content, and user data.</li><li>Establish CI/CD pipelines, observability stack, log processing, and monitoring frameworks.</li></ul>Leadership &amp; Team Enablement<ul><li>Lead engineering teams and guide them through architectural execution.</li><li>Work closely with Infra, Backend, Frontend, and Mobile teams to maintain a unified system vision.</li><li>Make final decisions on tech stack upgrades, design patterns, and performance strategies.</li></ul>Qualifications Must-Have<ul><li>12&ndash;18+ years of engineering experience, with at least 5+ years as a technical lead/architect.</li><li>Strong, proven experience in JavaScript ecosystem, particularly Node.js microservices.</li><li>Hands-on experience with MongoDB, Redis, RabbitMQ, AWS, and distributed system design.</li><li>Deep knowledge of video platforms, streaming, transcoding, HLS/DASH, and performance optimization.</li><li>Experience in designing scalable microservices and high QPS systems.</li></ul>Nice-to-Have<ul><li>Experience with recommendation systems, AI-driven feeds, ranking, or content moderation.</li><li>Experience with React Native/React for full ecosystem understanding.</li><li>Exposure to TikTok/Reels/SnackVideo-like architectures.</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs650,000.00 per monthApplication Question(s):<ul><li>Please share your resume at: https://tinyurl.com/TechleadWalee</li></ul>Experience:<ul><li>Software Engineering: 10 years (Required)</li><li>Node.js Microservices: 10 years (Required)</li><li>Technical Lead: 6 years (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Senior Tech Lead

VALUEMOMENTUM Inc

<div><div>Job Title: Solutions Architect
</div><div>Job ID: POS-16672</div>
<div>Primary Skill: AWS Services</div>
<div>Location: Hyderabad
</div><div>Experience: 15.00</div> 
 
<div>Key Skills: Databricks, PySpark, and architecture solutions. 
Secondary Skills: Unity Catalog, StarBurst, Azure DevOps, CICD, and orchestration layers. 
Job Location: Hyderabad, Pune, Coimbatore, and Bengaluru 
Mode of Work: Work From Office
Experience: 12+ Years 
About the job: 
We are seeking an experienced Databricks Architect with strong expertise in PySpark and architecture solutions. This role involves leading migration projects, designing cost-effective data platforms, and ensuring smooth data governance and orchestration in Databricks environments. The Architect will collaborate with various teams to build secure, scalable, and high-performance data pipelines and analytical layers. 
Know your team:
At ValueMomentum Technology Solution Centers, we are a team of passionate software engineering teams who thrive on tackling complex business challenges with innovative solutions catering to the P&amp;C insurance value chain. We achieve this through a strong software engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance. 
Join our team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to work with some of the best minds serving insurance customers in the US, UK and Canadian markets. 

Responsibilities:<ul><li>
Lead migration from Native Spark to Databricks.</li><li>
Architect Hadoop migration to Databricks.</li><li>
Build Data Governance solutions using tools like Unity Catalog and StarBurst.</li><li>
Develop orchestration workflows using Databricks and ADF.</li><li>
Implement CICD pipelines for Databricks in Azure DevOps.</li><li>
Process near-real-time data through Auto Loader and DLT pipelines.</li><li>
Design secure, scalable infrastructure for Delta Lake and Spark SQL.</li><li>
Optimize Databricks environments for cost-effectiveness.</li><li>
Extract complex business logic from on-prem solutions like SSIS, Informatica, Vertica, etc., into PySpark.</li><li>
Build analytical dashboards on top of the Databricks Lakehouse.</li></ul> 
Requirements:<ul><li>
12+ years of overall experience, with at least 4+ years as a solution architect.</li><li>
Experience with Databricks, PySpark, and modern data platforms.</li><li>
Expertise in cloud-native data platform architecture and solution design.</li><li>
Familiarity with Agile/Scrum methodologies.</li><li>
Experience in pre-sales and in the P&amp;C insurance domain is an advantage.</li></ul> 

</div> 
<div><div>About the Company: 
 
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry. 
</div> 
<div>Benefits: 
 
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li>Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li>Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

Solutions Architect

Esyacode Software

Role SummaryWork with us to build modern Insurtech AI underpinned solutions, we are a growing team of hands on architects striving to build high quality solutions for our internal and external customers. The Integration Architect designs and implements integration solutions across the Xceedance insurance ecosystem, architecting API platforms, messaging systems, and integration patterns enabling seamless connectivity between applications, systems, and third-party services using Microsoft Azure as the primary platform.Key ResponsibilitiesEnterprise Integration Architecture &amp; Strategy - Defines integration strategy and roadmap, designing architectures encompassing API management, messaging systems, and event-driven patterns using Azure API Management, Azure Service Bus, Azure Event Hubs, and Azure Logic Apps. Establishes integration standards implementing API-first design, event-driven architectures, and microservices communication patterns. Evaluates platforms including MuleSoft, Dell Boomi, and Apache Camel for specific use cases, balancing cloud-native solutions with hybrid integration requirements.API Platform Architecture - Architects API platforms serving internal microservices, external partners, and mobile applications. Designs API gateways implementing authentication, authorization, rate limiting, and versioning using Azure API Management and AWS API Gateway. Establishes governance frameworks for RESTful APIs following OpenAPI/Swagger specifications, GraphQL APIs for flexible querying, and gRPC for high-performance communication. Creates API lifecycle management processes covering design, documentation, versioning, and deprecation.Event-Driven Architecture &amp; Messaging - Designs event-driven architectures enabling real-time synchronization and asynchronous processing using Azure Service Bus for enterprise messaging, Azure Event Hubs and Apache Kafka for event streaming, and RabbitMQ for lightweight queuing. Implements publish-subscribe patterns, event sourcing, and CQRS for insurance workflows requiring audit trails. Designs message routing, transformation, and error handling ensuring reliable delivery and exactly-once processing.Integration Patterns &amp; Solutions - Implements Enterprise Integration Patterns including message routing, transformation, aggregation, claim check, and saga patterns for distributed transactions. Designs integration flows supporting synchronous request-response, asynchronous fire-and-forget, and batch integration with legacy systems. Establishes error handling, retry policies, circuit breakers, and compensation logic ensuring resilient integrations.iPaaS and Low-Code Integration - Architects solutions using MuleSoft Anypoint Platform, Azure Logic Apps for workflow automation, Dell Boomi for cloud and on-premises connectivity, and Apache Camel for flexible routing. Designs reusable components and connectors for insurance platforms (Duck Creek, Guidewire) with monitoring and observability.Security &amp; Governance - Implements API authentication using OAuth 2.0, OpenID Connect, JWT tokens, API key management, and mutual TLS for service communication. Establishes data protection including encryption, sensitive data masking, and compliance with GDPR, CCPA, and insurance regulations. Implements governance processes including design reviews, security assessments, and change management.Data Transformation &amp; Standards - Architects transformation solutions handling XML, JSON, CSV, EDI, and ACORD insurance standards. Designs mapping strategies for policy data, claims, billing, and regulatory submissions ensuring semantic consistency. Implements validation logic and data quality checks within integration flows.Performance &amp; Scalability - Designs for high performance implementing caching, message batching, parallel processing, and auto-scaling. Implements load balancing, throttling, and rate limiting while establishing performance baselines with monitoring and alerting.Collaboration &amp; Leadership - Works with application architects, security teams, and business stakeholders to deliver integration solutions. Mentors integration engineers, leads design reviews, and drives adoption of API-first and event-driven approaches.Required SkillsIntegration &amp; Architecture - Enterprise Integration Patterns, API-first design, RESTful API design, GraphQL, event-driven architecture, microservices communication, CQRS, event sourcing, and integration architecture styles.Platforms &amp; Technologies - Azure API Management, Azure Service Bus, Azure Event Hubs, Azure Logic Apps, AWS API Gateway, MuleSoft Anypoint Platform, Dell Boomi, Apache Kafka, RabbitMQ, Apache Camel, OpenAPI/Swagger, and GraphQL servers.Data &amp; Transformation - XML, JSON, EDI, ACORD standards, protocol buffers, Avro, data mapping tools, and transformation logic (XSLT, JSONata).Security - OAuth 2.0, OpenID Connect, JWT, API key management, mutual TLS, OWASP API Security, Azure Key Vault, and secrets management.Monitoring &amp; Observability - Azure Monitor, Application Insights, distributed tracing (OpenTelemetry), ELK stack, and API performance monitoring.Insurance Domain - Policy administration, claims management, billing systems, ACORD standards, insurance platform APIs (Duck Creek, Guidewire), and regulatory requirements.Required ExperienceSeven or more years in software development, integration, or middleware roles with three years designing enterprise integration architectures. Proven Azure integration services expertise with experience in hybrid cloud integration and API platform implementations. Track record designing API platforms supporting hundreds of APIs, implementing event-driven architectures processing millions of events, and integrating complex insurance application portfolios. Experience implementing security best practices, establishing governance frameworks, and optimizing integration performance. Evidence of mentoring teams, leading architectural reviews, and establishing integration standards.CertificationsMuleSoft Certified Integration Architect, Microsoft Certified: Azure Solutions Architect Expert (AZ-305), Microsoft Certified: Azure Integration and Security. Valuable additions: AWS Certified Solutions Architect - Professional, Dell Boomi Professional Architect, Kong Certified API Architect.Key CompetenciesInsurance Domain Expertise - Understanding insurance business processes, data flows, ACORD standards, regulatory requirements, and common insurance platforms.Technical Leadership - Leading architecture reviews, establishing integration standards, mentoring engineers, communicating designs to stakeholders, and balancing trade-offs.Strategic Thinking - Defining integration roadmaps, evaluating emerging technologies, designing for scalability, and making build-versus-buy decisions.Innovation - Staying current with API management, event streaming, serverless integration, and low-code platforms while driving adoption of modern patterns.Job Type: Full-timePay: ₹2,516,598.42 - ₹5,035,257.15 per yearWork Location: In person

Integration Architect

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