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infrastructure engineer

Lenovo

<div>
 
 
 Hiring: Infra Engineer (Linux/Windows &ndash; Incident &amp; Event Management)
 
 
 
 
 📍 Location:
 
 Bangalore
 
 
 
 🕒 Shift:
 
 24&times;7 Rotational
 
 
 
 🏢 Function:
 
 Lenovo &ndash; SAP Managed Services
 
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for an Infra Engineer to proactively monitor and manage infrastructure-level alerts and incidents, ensuring high availability and performance of SAP landscapes hosted on Azure and AWS.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Monitor infrastructure alerts (CPU, memory, disk, network) using
 
 Azure Monitor, AWS CloudWatch, and Zabbix
 
 .
 </li>
 <li>
 Validate, troubleshoot, and escalate critical alerts to SMEs within defined
 
 SLAs
 
 .
 </li>
 <li>
 Perform OS-level troubleshooting and service restarts for
 
 Windows &amp; Linux (SLES/RHEL)
 
 servers.
 </li>
 <li>
 Coordinate with Cloud/Platform teams for
 
 VM restoration, scaling, and resource optimization
 
 .
 </li>
 <li>
 Review logs, identify anomalies, and support incident investigations.
 </li>
 <li>
 Execute patching and OS updates as per maintenance schedules.
 </li>
 <li>
 Maintain configuration, capacity, and availability dashboards.
 </li>
 <li>
 Contribute to
 
 DR drills
 
 , post-incident reviews, and RCA preparation.
 </li>
 </ul>
 
 
 
 
 
 Core Technical Skills
 
 
 <ul>
 <li>
 
 Windows &amp; Linux Server Administration
 
 (SLES/RHEL)
 </li>
 <li>
 
 Azure
 
 : VMs, Storage, Load Balancers, NSGs
 </li>
 <li>
 
 AWS
 
 : EC2, S3, VPC, Route 53
 </li>
 <li>
 Monitoring tools:
 
 CloudWatch, Azure Monitor, Zabbix
 
 </li>
 <li>
 Automation using
 
 Bash / PowerShell
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Microsoft
 
 AZ-104
 
 </li>
 <li>
 AWS
 
 SysOps Administrator &ndash; Associate
 
 </li>
 </ul>
 
 
 
 
 
 Experience &amp; Competencies
 
 
 <ul>
 <li>
 3&ndash;8 years of experience in infrastructure support within a managed services environment
 </li>
 <li>
 Strong collaboration with Basis, DB, and Cloud teams
 </li>
 <li>
 Customer-first mindset with a focus on minimizing infra-related downtime
 </li>
 </ul>
 
 
 
 
 
 Key Performance Indicators
 
 
 <ul>
 <li>
 Infrastructure uptime
 </li>
 <li>
 Alert response &amp; resolution time
 </li>
 <li>
 Change success rate
 </li>
 </ul>
 
 
</div>

Infrastructure Engineer

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)

Epiroc

<div>
 
 
 
 Data Engineer
 
 
 
 Do you get excited about making data the heartbeat of smarter decision-making?
 
 
 We&rsquo;re looking for a Data Engineer who will partner with AI and analytics teams to turn organizational data into a strategic advantage. Your work will help us optimize performance, anticipate challenges, and lead the way in intelligent production.
 
 
 Join us as we accelerate the transformation!
 
 
 
 Your mission
 
 
 
 Your mission is to deliver scalable, reliable, and secure data solutions by collaborating closely with business and technology teams. You will play a key role in designing and maintaining data pipelines and platforms that ensure high data quality, support advanced analytics, and drive continuous innovation across the organization.
 
 
 <ul>
 <li>
 Develop and maintain efficient data workflows and infrastructure using tools like SQL, Python, and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Ensure data quality, consistency, and security across systems.
 </li>
 <li>
 Monitor and improve pipeline performance and cost-effectiveness.
 </li>
 <li>
 Support data governance efforts through documentation and best practices.
 </li>
 <li>
 Contribute to the evolution of data architecture and provide guidance to team members when needed.
 
 
 </li>
 </ul>
 
 Your profile
 
 
 
 We&rsquo;re seeking a Data Engineer with 3&ndash;5 years of experience to help design and
 
 
 build scalable data pipelines that support analytics, reporting, and AI-driven
 
 
 solutions. This position involves working closely with data analysts and data scientists
 
 
 and business teams to understand requirements and deliver reliable, high-quality
 
 
 data systems.
 
 
 <ul>
 <li>
 Proficiency in working with cloud platforms such as Azure and AWS.
 </li>
 <li>
 Proficiency in Python.
 </li>
 <li>
 Experience with various types of databases &mdash; relational (e.g., SQL Server, PostgreSQL), document-based (e.g., MongoDB), and graph databases (e.g., Neo4j or Cosmos DB).
 </li>
 <li>
 Knowledge of API integration, including setting up and consuming APIs and working with non-tabular data formats such as JSON or XML.
 </li>
 <li>
 Skilled in data pipeline development, data modeling, and performance optimization.
 </li>
 <li>
 A graduate degree in Computer Science, Software Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Location and other
 
 
 
 This position is in Bangalore,India.
 
 
 Occasional travel is required.
 
 
 
 Why Epiroc?
 
 
 
 By joining our team, you&rsquo;ll make a big difference in the energy transition. At Epiroc, we take pride in being passionate innovators, driving the change toward a brighter future for both people and the planet. Guided by our values of Collaboration, Commitment, and Innovation, we foster a culture of trust, growth, and lasting impact.
 
 
 To support your journey, we offer a competitive Total Rewards Package, including:
 
 
 <ul>
 <li>
 Global career opportunities
 </li>
 <li>
 Learning &amp; Development programs
 </li>
 <li>
 Benefits package, including variable compensation (bonus)
 </li>
 <li>
 Flexible work culture promoting balance and well-being
 </li>
 <li>
 Global Parental Leave Policy
 </li>
 <li>
 Community involvement
 
 
 </li>
 </ul>
 
 Epiroc
 
 is a global productivity partner for mining and construction customers, and accelerates the transformation toward a sustainable society. With ground-breaking technology, Epiroc develops and provides innovative and safe equipment, such as drill rigs, rock excavation and construction equipment and tools for surface and underground applications. The company also offers world-class service and other aftermarket support as well as solutions for automation, digitalization and electrification. Epiroc is based in Stockholm, Sweden, had revenues of more than SEK 60 billion in 2023, and has around 18 200 passionate employees supporting and collaborating with customers in around 150 countries. Learn more at www.epiroc.com.
</div>

Data Engineer

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Hyderabad, Telangana, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures or algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About the job
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team works on the world&rsquo;s toughest problems, redefining what&rsquo;s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We&rsquo;re at the center of amazing work at Google by being the &ldquo;flywheel&rdquo; that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
 
 
 In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Google Cloud

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 </li>
 <li>
 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related ML field.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or a related technical field.
 </li>
 <li>
 2 years of experience with data structures and algorithms.
 </li>
 <li>
 Experience in developing accessible technologies.
 
 
 </li>
 </ul>
 
 About the job
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 </li>
 <li>
 Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, AI/ML

WSO2

<div>
 
 
 About WSO2
 
 
 
 
 
 
 Founded in 2005, WSO2 is the largest independent software vendor providing open-source API management, integration, and identity and access management (IAM) to thousands of enterprises in over 90 countries. WSO2's products and platforms&mdash;including our next-gen internal developer platform, Choreo&mdash;empower organizations to leverage the full potential of artificial intelligence and APIs for securely delivering the next generation of AI-enabled digital services and applications. Our open-source, AI-driven, API-first approach frees developers and architects from vendor lock-in and enables rapid digital product creation. Recognized as leaders by industry analysts, WSO2 has more than 800 employees worldwide with offices in Australia, Brazil, Germany, India, Singapore, Spain, Sri Lanka, the UAE, the UK, and the US, with over USD100M in annual recurring revenue. Visit https://wso2.com to learn more. Follow WSO2 on LinkedIn and X (formerly Twitter).
 
 
 
 
 
 
 Role Overview:
 
 
 
 As a Senior Site Reliability Engineer at WSO2, you'll be instrumental in both supporting our existing customers with their managed or private cloud deployments and initiating new deployments across leading cloud platforms such as Azure, AWS, and GCP. Your mission will include ensuring the seamless operation, scalability, and security of WSO2 cloud services, alongside automating processes to boost both efficiency and reliability.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 Deployment Setup and Management:
 
 
 <ul>
 <li>
 Lead the design and implementation of new cloud deployments, tailoring solutions to meet stakeholder requirements on platforms like Azure, AWS, GCP, and Kubernetes.
 </li>
 <li>
 Optimize cloud architectures for scalability and cost-effectiveness, adhering to best practices for networking, security, and access controls.
 </li>
 <li>
 Gain and maintain deep knowledge of cloud infrastructure providers to create robust solutions.
 </li>
 <li>
 Proactively introduce continuous improvements and cost-optimized solutions to enhance infrastructure adaptability and streamline deployment processes.
 </li>
 </ul>
 
 
 
 
 
 Automation and CI/CD:
 
 
 <ul>
 <li>
 Craft and manage automation scripts and infrastructure as code (IaC) using tools such as Terraform, Ansible, or CloudFormation.
 </li>
 <li>
 Deploy CI/CD pipelines to streamline software delivery, testing, and deployment processes, ensuring efficient version control and configuration management.
 </li>
 </ul>
 
 
 
 
 
 Managed Cloud Support:
 
 
 <ul>
 <li>
 Ensure the availability of services by configuring system monitors and alerts and attending to critical alerts in a timely manner.
 </li>
 <li>
 Offer continuous support and maintenance for existing deployments, monitoring system performance and swiftly resolving issues to maintain high availability and reliability.
 </li>
 <li>
 Implement strategies for performance optimization and failure prevention, conducting thorough root cause analyses to avoid future issues.
 </li>
 <li>
 Demonstrate strong ownership during critical incident scenarios, ensuring smooth operations under pressure by delivering timely resolutions. Implement effective workarounds and conduct thorough root cause analysis (RCA).
 </li>
 </ul>
 
 
 
 
 
 Monitoring and Security:
 
 
 <ul>
 <li>
 Establish comprehensive monitoring and alerting systems to oversee customer deployments, setting thresholds for incident response.
 </li>
 <li>
 Conduct regular security assessments and stay abreast of the latest threats and trends to fortify cloud environments against risks.
 </li>
 </ul>
 
 
 
 
 
 Collaboration and Knowledge Sharing:
 
 
 <ul>
 <li>
 Foster a collaborative environment with product developers, operations, and QA teams to enhance workflows and product quality.
 </li>
 <li>
 Share knowledge and best practices, contributing to the team&rsquo;s collective expertise through documentation, training, and mentorship.
 </li>
 </ul>
 
 
 
 
 
 Skills and Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent experience.
 </li>
 <li>
 2+ years of hands-on experience as a Site Reliability Engineer, managing and improving production systems at scale.
 </li>
 <li>
 Strong collaboration and leadership skills, with a proven ability to lead teams, drive cross-functional initiatives, deliver results, and align efforts toward organizational goals.
 </li>
 <li>
 Expertise in cloud platforms such as Azure, AWS, and GCP.
 </li>
 <li>
 Expertise in Linux and virtualization and containerization technologies such as Docker and Kubernetes.
 </li>
 <li>
 A solid understanding of networking, security principles, and compliance frameworks.
 </li>
 <li>
 Proficiency in IaC tools (Terraform, CloudFormation), configuration management (Puppet, Chef, Helm), and scripting languages (Python, Bash, PowerShell).
 </li>
 <li>
 Experience with CI/CD tools (Github Actions, Jenkins) and monitoring/logging tools (Prometheus, ELK stack, Splunk).
 </li>
 <li>
 Exceptional problem-solving, analytical, and troubleshooting skills, coupled with a proactive, customer-centric mindset.
 </li>
 <li>
 Strong communication skills and the ability to collaborate effectively in a team environment.
 </li>
 </ul>
 
 
 
 
 
 What WSO2 Offers:
 
 
 <ul>
 <li>
 A culture that values hard work and flexibility, with a sensible vacation/leave plan.
 </li>
 <li>
 Comprehensive health insurance for you and your family.
 </li>
 <li>
 Competitive compensation package and opportunities for professional growth.
 </li>
 </ul>
 
 
 
 
 
 Diversity Drives Innovation
 
 
 
 
 
 
 We&rsquo;ve built our business on a commitment to diversity and inclusion. We believe it&rsquo;s important to foster an environment that values and respects each individual&rsquo;s strengths, perspectives, and ideas. Doing so not only drives innovation; it also ensures that we can create superior experiences for our customers, partners, and employees worldwide. We value the diversity of our team regardless of race, ethnicity, religion, gender, age, national origin, disability, sexual orientation, or veteran or marital status, and we do not tolerate any form of discrimination.
 
</div>

Senior Site Reliability Engineer

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 partners to define, scope, prioritize, and build impactful features at a high velocity.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience
 </li>
 <li>
 2+ years of industry experience in software design, development, and algorithm related solutions
 </li>
 <li>
 Experience programming in Object-oriented languages such as Java, Python, Go, and/or Functional languages such as Scala
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in building machine learning platforms at large scale
 </li>
 <li>
 Familiarity with techniques used in big data and AI
 </li>
 <li>
 Good knowledge in distributed data processing technologies
 </li>
 <li>
 Experience with industry, open-source projects and/or academic research in large-data, machine learning systems, such as Spark, TensorFlow, PyTorch, or XGBoost
 
 
 
 </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>

Software Engineer, Systems Infrastructure

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