senior software engineer systems infrastructure

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 This role will be based in Bangalore, India. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will design, build and operate one of the online data infra platforms that power all of Linkedin's core applications.
 </li>
 <li>
 You will participate in design and code reviews to maintain our high development standards.
 </li>
 <li>
 You will partner with peers, leads and internal customers to define scope, prioritize and build impactful features at a high velocity.
 </li>
 <li>
 You will mentor other engineers and will help build a fast-growing team.
 </li>
 <li>
 You will work closely with the open-source community to participate and influence cutting edge open-source projects
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience
 </li>
 <li>
 5+ years industry experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 5+ years experience programming in object-oriented languages such as Java, Python, Go, and/or Functional languages such as Scala or other relevant coding languages
 </li>
 <li>
 Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto)
 </li>
 <li>
 Experience with industry, open-source projects and/or academic research in data management, relational databases, and/or large-data, parallel and distributed systems
 </li>
 <li>
 Experience with open-source project management and governance
 </li>
 <li>
 Experience with cloud computing (e.g., Azure) is a plus.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Distributed systems
 </li>
 <li>
 Backend Systems Infrastructure
 </li>
 <li>
 Java
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Senior Software Engineer, Systems Infrastructure

Uber

<div>
 
 About The Role
 
 
 
 The Security Engineering team at Uber is focused on making the production and corporate environments secure by default to provide industry-leading solutions for Uber's production services and infrastructure. We are looking for a Software Engineer to join our Enterprise Security team. This team is dedicated to protecting Uber's digital assets by designing and deploying secure architectures across enterprise applications. In this role, you'll leverage your software engineering skills to develop systems that enhance the security posture and elevate security standards. This is a unique opportunity to collaborate with both seasoned and emerging talent, make a tangible impact on Uber's security, and further refine your technical and security expertise.
 
 
 ---- What the Candidate Will Do ----
 
 
 <ul>
 <li>
 Design features and systems that solve problems related to enterprise application security
 </li>
 <li>
 Write clean, modular, and maintainable code.
 </li>
 <li>
 Deploy, configure, and manage a variety of enterprise security solutions, and the Enterprise Application Security Posture Management (SSPM) platform.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 3+ years of experience in software engineering
 </li>
 <li>
 Strong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++).
 </li>
 <li>
 Strong problem solving, service architecture, coding and code reviews skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with integrating with SaaS applications
 </li>
 <li>
 Experience with CyberSecurity
 </li>
 <li>
 Experience building out integrations with open-source and vendor products
 </li>
 <li>
 Experience with AI/ML technologies / frameworks and incorporating them into production systems
 </li>
 <li>
 Experience with automation and scripting (e.g., Python, Bash) for security operations
 </li>
 </ul>
</div>

Software Engineer II - Backend

Cisco

<div>
 
 Meet the Team
 
 
 
 The Cisco Distributed System Engineering (DSE) group is at the forefront of developing products that power the largest networks in the world. The networking industry is going through a massive transformation to build the next generation network infrastructure. We are uniquely positioned to capture that market transition.
 
 
 This team builds platform SDK on Silicon Architecture. They are the developers and leaders who are passionate about tackling complex technology, building large scale distributed systems and comfortable working with both inhouse and open-source technologies. You will be involved with a fast-paced work environment and responsible for end-to-end product development.
 
 
 
 Your Impact
 
 
 
 In this role, you will be responsible to build and deploy SDK solution, collaborate with engineering teams, technical leads and architects. You will adopt new development tools and infrastructure, manage release engineering activities, CICD pipelines, come up with efficient build mechanisms and accelerate software development process.
 
 
 You'll also be responsible to ensure that the solution built is secured, safe from cyber security threats and meets global and Cisco standards. As you learn the new technologies, you propose new ideas and implement those continuously in the development process.
 
 
 
 DevOps, Tools And Infra Development
 
 
 
 <ul>
 <li>
 Design and development of DevOps components for network operating systems SDK, hardware infrastructure and platform components.
 </li>
 <li>
 Develop and maintain tools that would accelerate software development focusing on Build, packaging, installation of SDK.
 </li>
 <li>
 Build and maintain Infrastructure component. Collaborate with hardware teams to enable optimal hardware-software interactions and expose hardware capabilities through standardized interfaces.
 </li>
 <li>
 Write, review, and optimize code for critical system modules, drivers, and APIs supporting high-performance data planes and control planes.
 
 
 </li>
 </ul>
 
 System Design
 
 
 
 <ul>
 <li>
 Work with Technical Leader on the technical architecture to develop tools and common infrastructure components.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Engagement
 
 
 
 <ul>
 <li>
 Collaborate with product leader and engineering teams to understand use cases, gather requirements, and align deliverables with business objectives.
 </li>
 <li>
 Lead the evaluation and adoption of new tools, technologies, and methodologies to accelerate development and testing cycles.
 </li>
 <li>
 Drive code reviews, technical discussions, and issue resolution to ensure timely and quality deliverables.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Around 5 years of experience in software development within the networking industry.
 </li>
 <li>
 Proven track record of being a DevOps engineer, worked earlier in a similar networking environment. Hands on having real production-level experience, preferably in core networking domain.
 </li>
 <li>
 Atleast 5 years of hands-on working experience with Docker and Linux-based infrastructures. Very comfortable with GitHub, Jira, CI/CD Pipelines, Jenkins.
 </li>
 <li>
 Excellent knowledge on how to build applications by using make files, source code management, Maven, Debian images etc. Excellent knowledge on GitHub, build, packaging, installation of SDK components.
 </li>
 <li>
 Hands-on experience in infrastructure development preferably for an embedded system or network operating system (NOS).
 </li>
 <li>
 Excellent troubleshooting and debugging skills.
 </li>
 <li>
 Good understanding of monitoring, alerting, logging frameworks, databases including NoSQL databases.
 </li>
 <li>
 Self-motivated, quick learner and a good team member.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working on technical projects in a complex development environment. Exposure on distributed architecture.
 </li>
 <li>
 Working knowledge of various tools and open-source technologies. Strong will to accelerate agile development process.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Software Engineer:  Python, Devops Experience with Docker, Linux-based infrastructures, GitHub, Jira, CI/CD Pipelines & Jenkins (5 to 8 Years)

DigiCert

<div>
 
 
 
 Who we are
 
 
 
 
 
 We're a leading, global security authority that's disrupting our own category.&nbsp; Our encryption is trusted by the major ecommerce brands, the world's largest companies, the major cloud providers, entire country financial systems, entire internets of things and even down to the little things like surgically embedded pacemakers.&nbsp; We help companies put trust - an abstract idea - to work. That's digital trust for the real world.
 
 
 
 
 
 Job summary
 
 
 
 
 
 The DigiCert ONE CA team is looking for a knowledgeable Senior Software Engineer to join our agile cross functional team to build the future of PKI and security management.
 
 
 
 &nbsp;
 
 
 
 
 What you will do
 
 
 
 <ul>
 <li>
 
 Build RESTful, highly scalable cloud native webservices using Go
 
 </li>
 <li>
 
 Collaborate with the team in the design, development, testing, and deployment of high-quality code
 
 </li>
 <li>
 
 Engage with other engineering leaders to implement industry best practices
 
 </li>
 <li>
 
 Analyze, troubleshoot, and debug product defects and provide timely solutions to customer needs
 
 </li>
 <li>
 
 Develop a deep understanding of PKI products, architecture, and systems
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 What you will have
 
 
 
 <ul>
 <li>
 
 5+ years of professional experience in the engineering industry
 
 </li>
 <li>
 
 Experience designing and developing RESTful web service APIs
 
 </li>
 </ul>
 
 
 Strong knowledge of the following:&nbsp;
 
 
 <ul>
 <li>
 
 Software engineering best-practices in design, testing, and architecture
 
 </li>
 <li>
 
 Service-based architectures and distributed systems
 
 </li>
 <li>
 
 Relational databases, including indexes, and SQL best practices
 
 </li>
 <li>
 
 Design patterns, data structures, and algorithms
 
 </li>
 <li>
 
 Continuous Integration and Continuous Delivery/DevOps
 
 </li>
 <li>
 
 Strong interpersonal communication skills
 
 </li>
 <li>
 
 Proficiency in Go Language
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 
 Understanding of SSL/TLS, PKI, and other security related technologies
 
 </li>
 <li>
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, etc., or equivalent years of experience in the industry
 
 </li>
 <li>
 
 Technologies we use, any experience is a bonus: MySQL; React / Redux; C++ ; Docker and Kubernetes; Git and GitHub
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 
 Generous time off policies
 
 </li>
 <li>
 
 Top shelf benefits
 
 </li>
 <li>
 
 Education, wellness and lifestyle support
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
</div>

Senior Software Engineer

Allucent

<div>
 
 The Senior / Principal Data Engineer will design, develop, and maintain scalable data platform and analytics solutions across data lakes and operational databases. This role requires hands-on expertise in Azure Databricks, Azure SQL, Python/PySpark, Notebooks, with a strong understanding of data modeling, ETL/ELT best practices, and CI/CD automation in Azure DevOps. The ideal candidate will have a proven record of building robust, efficient, and secure data pipelines that enable analytics, reporting, and AI/ML solutions, preferably in life sciences, clinical research, or healthcare domains.&nbsp;
 
 
 
 
 Requirements
 
 
 
 
 
 Data Architecture &amp; Engineering&nbsp;
 
 <ul>
 <li>
 Design and implement end-to-end data pipelines using Azure Databricks, Azure Data Factory, and ADLS Gen2.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Build scalable and performant data models for data lakes (Medallion architecture), data warehouses, and operational systems.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Develop ELT/ETL frameworks for ingestion from APIs, relational sources, flat files, and third-party systems (e.g., Dynamics 365, Veeva, EDC).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Optimize data transformations, partitioning, and delta lake performance for analytics workloads.&nbsp;
 </li>
 </ul>
 
 Data Integration &amp; Automation&nbsp;&nbsp;
 
 <ul>
 <li>
 Leverage Python and PySpark for data ingestion, cleansing, enrichment, and advanced transformations.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Implement CI/CD pipelines for data workflows using Azure DevOps and Git, including automated testing, deployment, and monitoring.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Develop and integrate RESTful APIs for cross-system data exchange and automation.&nbsp;
 </li>
 </ul>
 
 Analytics Enablement&nbsp;
 
 <ul>
 <li>
 Collaborate with the BI team to ensure clean, high-quality, and accessible data for the Power BI platform.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Support semantic modeling, metric layer design, and data governance best practices.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Enable advanced analytics by provisioning data for ML/AI initiatives and predictive insights.&nbsp;
 </li>
 </ul>
 
 Cross Functional Collaboration&nbsp;
 
 <ul>
 <li>
 Collaborate with product/system owners, analysts, and business stakeholders to translate analytical requirements into technical data solutions.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Drive best practices in Agile development, version control, and DevOps workflows.&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 Education Requirements and Qualifications&nbsp;
 
 
 
 Qualifications&nbsp;&nbsp;
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).&nbsp;&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Minimum 5-8 years of relevant experience building and maintaining data solutions (data lakes, data warehouses, operational databases).&nbsp;&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Expert-level proficiency in Azure Databricks, PySpark, SQL, and Azure DevOps.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM or Terraform).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Experience with Power BI or similar analytics platforms (Tableau, Looker) required; experience with Snowflake, Redshift, or Synapse Analytics is a plus.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Strong analytical, debugging, and performance-tuning skills.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Experience in life sciences or healthcare industries is a strong plus.&nbsp;
 </li>
 </ul>
 
 Skills&nbsp;
 
 
 Core expertise: Expert-level in Databricks, PySpark, SQL, and Azure DevOps&nbsp;
 
 
 Data engineering: Data modeling, Delta Lake optimization, ETL/ELT design, distributed processing.&nbsp;
 
 
 Integration &amp; Automation: Azure Data Factory, REST APIs, CI/CD pipelines, Git branching strategies.&nbsp;
 
 
 Analytics &amp; BI: Power BI (Tableau), semantic layer design, DAX/SQL tuning.&nbsp;
 
 
 Cloud &amp; DevOps: Azure ecosystem (ADF, ADLS, Azure SQL, Synapse), Infrastructure as Code&nbsp;
 
 
 Data Governance &amp; Quality: Metadata management, data validation frameworks, logging and monitoring.&nbsp;
 
 
 Soft skills: Good communication, mentoring, Agile teamwork, analytical thinking, collaboration.&nbsp;
 
 
 &nbsp;
 
</div>

Data Developer

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 This role will be based in Bangalore, India. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Manage the performance and career development of a team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding.
 </li>
 <li>
 Participate with senior management in developing a long-term technology roadmap.
 </li>
 <li>
 Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
 </li>
 <li>
 Work with peers across teams to support and leverage a shared technical stack.
 </li>
 <li>
 Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality.
 </li>
 <li>
 Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
 </li>
 <li>
 Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BS in Computer Science or related field with 8+ years of relevant engineering work experience
 </li>
 <li>
 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training.
 </li>
 <li>
 Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 2+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries.
 </li>
 <li>
 Shipped several large-scale projects with dependencies across multiple teams.
 </li>
 <li>
 Built and delivered on successful cross-functional partnerships across multiple teams.
 </li>
 <li>
 Been actively involved in creation and execution of technical strategy and roadmap.
 </li>
 <li>
 Actively coached, mentored and grew team members in their careers.
 </li>
 <li>
 Track record in partnering with recruiting to hire and build incredible engineering teams.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Technical Leadership
 </li>
 <li>
 People Management
 </li>
 <li>
 Stakeholder Management
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Software Engineering Manager, Systems Infrastructure

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
 
 <ul>
 <li>
 Architect and Design performance-optimized solutions for complex systems, ensuring scalability, reliability, and cost-effectiveness
 </li>
 <li>
 Define and implement performance strategies across the organization, including testing, tuning, and monitoring plans
 </li>
 <li>
 Analyze system performance from end to end, identifying performance bottlenecks and providing architectural recommendations for optimization
 </li>
 <li>
 Lead performance engineering efforts, ensuring robust and scalable designs through every phase of the development lifecycle
 </li>
 <li>
 Leverage AI platforms to enhance and solution for performance activites
 </li>
 <li>
 Collaborate with development, operations, and business teams to ensure performance standards are met throughout the infrastructure
 </li>
 <li>
 Ensure the effective use of performance testing tools and monitoring solutions, including designing load models,test cases, and reporting frameworks
 </li>
 <li>
 Perform architectural reviews of systems with a focus on identifying and eliminating performance bottlenecks
 </li>
 <li>
 Guide the team in capacity planning and scalability strategies for current and future growth
 </li>
 <li>
 Oversee the execution of benchmarking, load testing, stress testing, and endurance testing to validate performance targets
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 <ul>
 <li>
 Performance Testing Tools: Expertise in JMeter and performance testing frameworks (e.g., Gatling,LoadRunner)
 </li>
 <li>
 Programming/Scripting: Proficient in Java, JavaScript, and shell/bash for performance automation
 </li>
 <li>
 Monitoring &amp; Profiling: Experience with Heap Dumps, GC Logs, and tools like Datadog, AppDynamics,Dynatrace, Grafana
 </li>
 <li>
 Cloud: Familiar with AWS, GCP, or Azure for cloud performance optimizations
 </li>
 <li>
 Containers &amp; Orchestration: Knowledge of Docker and Kubernetes for containerized environments
 </li>
 <li>
 CI/CD Automation: Experience with GitLab, GitHub, Jenkins for integrating performance tests in CI/CD pipelines
 </li>
 <li>
 AI : Any AI tools and relevant prompt engineering to leverage it for solutions and tools
 
 </li>
 </ul>
 
 
 
 
 WHAT YOU BRING
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Engineering, or related fields
 </li>
 <li>
 12+ years of experience in performance engineering, with at least 4 to 6 years in a Performance Engineer or similar role
 </li>
 <li>
 
 Architectural Expertise:
 
 Deep understanding of distributed systems, microservices architecture, and cloud-native environments (AWS, GCP, Azure)
 </li>
 <li>
 
 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>
 <li>
 
 Programming and Scripting:
 
 Proficiency in Java, JavaScript, Python, or other programming languages to implement performance optimizations and automate testing and monitoring workflows
 </li>
 <li>
 
 AI Tools :
 
 Experience in AI to develop solutions and tools to complement the performance activities
 </li>
 <li>
 
 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
 </li>
 <li>
 
 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
 </li>
 <li>
 
 Capacity Planning:
 
 Experience with capacity management and planning to ensure that systems can scale under increasing user demand without degrading performance
 </li>
 <li>
 
 Collaboration and Leadership:
 
 Strong collaboration skills to work with developers, product managers, DevOps, and business teams. Ability to lead performance discussions and architectural improvements
 
 </li>
 </ul>
 
 
 
 
</div>

Associate Principal Engineer, Quality Engineering (Performance Engineer)

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