platform engineer

Acceldata

<div>
 At Acceldata, we are revolutionising data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organisation's unique needs. Our platform integrates various technologies, enabling seamless data observability for modern enterprises.
 
 
 
 About the Role:
 
 We&rsquo;re hiring a software engineer to build and scale
 
 the Acceldata Open Data Platform (ODP)
 
 - an enterprise-grade, open-source, aligned platform that powers cloud, hybrid, and on-premises environments. You&rsquo;ll work on deep technology challenges, from distributed systems to observability, helping global customers modernise their platforms without lock-in.
 
 
 This role offers the opportunity to build cutting-edge data solutions, influence the open-source ecosystem, and collaborate with industry experts. Your contributions will have a lasting impact on both the data platform and the broader open-source community.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build end-to-end observability: health, quality, lineage, cost, and anomaly detection for enterprise data stacks.
 </li>
 <li>
 4+ years of experience in software engineering, with at least 2-3 years actively contributing to open-source projects, ideally within the Apache ecosystem.
 </li>
 <li>
 Proficiency in programming languages such as Java, Python, Scala, or Go is preferred. Experience with distributed computing and high-performance applications is also highly desired.
 </li>
 <li>
 Work across diverse environments: Hadoop, Kubernetes, Snowflake, Databricks, and multi-cloud platforms.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Ability to work in fast-moving, customer-facing environments where impact is direct and visible.
 </li>
 <li>
 Strong coding, debugging, and troubleshooting skills to resolve issues, enhance software applications, and ensure smooth deployment.
 </li>
 <li>
 Communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
 </li>
 <li>
 Strong ability to collaborate with internal teams, external contributors, and the broader open-source community.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Impact at scale: Work on critical systems for Fortune 500 companies.
 </li>
 <li>
 Open &amp; modern stack: No vendor lock-in, Apache-aligned innovation.
 </li>
 <li>
 Learning &amp; growth: Solve problems across performance, reliability, cost, and cloud adoption.
 </li>
 <li>
 Flexibility: Cloud, hybrid, and on-prem - ODP is designed for today&rsquo;s enterprise reality.
 </li>
 <li>
 Ownership: You&rsquo;ll have end-to-end responsibility, not ticket-taking.
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Software Engineer - Open Data Platform (ODP)

<div>
 At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
 
 
 This Position reports to:
 
 
 Principal Software Engineer
 
 
 
 
 
 
 
 What We Believe In
 
 
 
 Join us at ABB as we work together with a global team to transform society and industry, promoting a more productive and sustainable future.
 
 
 Our mission at ABB is to promote diversity and inclusion on every front, encompassing gender, sexual orientation, abilities, ethnicity, and generational perspectives. Together, we are embarking on a journey where each one of us, individually and collectively, welcomes and celebrates individual differences.
 
 
 ABB is a prominent global technology firm that facilitates the evolution of society and industry towards a more efficient, sustainable future. ABB has a rich history that spans over 130 years, contributing significantly through the four Industrial Revolutions and continues to shape the path of industry 4.0. By incorporating digital innovations within its electrification, robotics, automation, and motion offerings, ABB transforms technology to enhance performance capabilities significantly.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 This is a technical Leadership role in Cloud and AI platform, reporting to the Digital Solution Engineering Manager in ABB Ability&trade; Genix - industrial analytics and artificial intelligence Platform in business area Process Automation located in Bangalore. You will be leading the Product delivery team including Platform Services at Ability Innovation Center (AIC), home to the largest technology and engineering pool in ABB globally and is a part of ABB Global Industries and Services Private Limited, a subsidiary of ABB. It is based in Bangalore, the silicon-valley of India. Its unique infrastructure places research, development, engineering, and service teams under one roof, increasing collaboration and reducing time to market, with no compromise on quality.
 
 
 We are looking for a highly proficient Software Engineer to become part of our team, working on the development and improvement of ABB Ability&trade; Genix, particularly in areas like deployment automation, packaging, and essential technical skills. As a Software Engineer, you'll have the chance to connect with an accomplished team of engineers to advance technology initiatives, improve Agile Delivery, and bolster overall team effectiveness.
 
 
 Are you interested in a workplace that combines the aspects of technology, data, domain, and Industrial AI to build innovative analytics solutions for process automation customers? If you prioritize creativity and effective solutions, this could be the right team for you. Become part of ABB and take advantage of our varied global network as you collaborate with and guide our esteemed teams. Most importantly, push yourself each day to reach new heights. Let&rsquo;s write the future together.
 
 
 The work model for the role is: Hybrid
 
 
 
 You will be mainly accountable for:
 
 
 
 <ul>
 <li>
 Build LLM/agent workflows using LangChain, LangGraph, or similar frameworks; develop and refine prompts, conversational flows, and integrations for IIoT use cases; enhance model understanding of industry terminology and real-time data; collaborate with engineering teams and create supporting documentation.
 </li>
 <li>
 Oversee the creation of features associated with LLM frameworks and agent-based workflows; maintain effective communication with interdisciplinary teams; share regular updates on project progress; encourage a culture of collaboration; eliminate technical obstacles; and liaise with external partners.
 </li>
 <li>
 Promote continuous improvement within the team; identify opportunities to optimize Scrum processes; and provide coaching or training on Scrum practices.
 </li>
 <li>
 Align product, engineering, and stakeholder efforts to ensure cohesive delivery, smooth collaboration, and consistent execution across IIoT and AI-driven initiatives.
 
 
 </li>
 </ul>
 
 Qualifications for the role:
 
 
 
 <ul>
 <li>
 Hold a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field, with 3+ years of experience in NLP, machine learning, and chatbot development.
 </li>
 <li>
 Exhibit advanced knowledge of Python, particularly in application development with Flask or FastAPI, and showcase experience in rolling out production-ready systems on Kubernetes.
 </li>
 <li>
 Possess familiarity with IIoT concepts, protocols, and systems, along with the ability to design and implement scalable, secure web and REST API applications.
 </li>
 <li>
 Demonstrate proficiency in machine learning frameworks and programming languages, such as Python, TensorFlow, and PyTorch, along with experience in microservices architecture and asynchronous design methods.
 </li>
 <li>
 Possess practical knowledge of Azure cloud services, such as App Service, Cosmos DB, AKS, Cognitive Datalake, and Azure SQL Server.
 </li>
 <li>
 Be skilled in working with CI/CD pipelines for automated build, test, and deployment processes, ensuring scalable and maintainable software delivery.
 </li>
 <li>
 Exhibit effective communication, documentation, mentoring, and collaboration skills to assist in team development and knowledge exchange.
 
 
 
 </li>
 </ul>
 
 More About Us
 
 
 ABB&rsquo;s Digital business area enables customers to operate some of the world&rsquo;s largest and most complex industrial infrastructures, helping them outrun &ndash; leaner and cleaner.
 
 
 Become a part of our innovative team and advance your career by playing a role in creating impactful Industrial AI and Cloud applications and services that prioritize care.
 
 
 We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
 
 
 
 Fraud Warning:
 
 Any genuine offer from ABB will always be preceded by a formal application and interview process.
 
 
 We never ask for money from job applicants.
 
 
 For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
 
 
 Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
</div>

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

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Team
 
 
 
 At eBay, the Data Platform Engineering group designs and scales innovative infrastructure and analytics solutions that power robust data flows, real-time insights, and inventory mapping globally. The team builds and maintains large-scale systems supporting high-volume data acquisition, transformation, and reporting, driving platform reliability and supporting business decision-making across regions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Architect, develop, and maintain backend services and distributed systems driving large-scale data collection, processing, and reporting workflows.
 </li>
 <li>
 Design and optimize ETL (Extract, Transform, Load) pipelines for a range of data sources, enabling inventory mapping, enrichment, and transformation.
 </li>
 <li>
 Build, monitor, and troubleshoot microservices, data crawling tools, and plugins for cloud-native deployments and high system resilience.
 </li>
 <li>
 Implement advanced extraction and mapping frameworks using modern technology stacks, ensuring data is clean, comprehensive, and actionable.
 </li>
 <li>
 Ensure platform reliability and scalability with proactive incident response, robust monitoring, and ongoing technical upgrades.
 </li>
 <li>
 Contribute to customer-facing portals and dashboards that support internal teams in configuring, managing, and monitoring data workflows.
 </li>
 <li>
 Collaborate globally across engineering, product, and analytics teams (India, US, China, Europe) to deliver impactful platform features and ensure alignment on technical best practices.
 </li>
 <li>
 Participate actively in release management, code reviews, operations, and knowledge sharing for continual improvement and technical excellence.
 </li>
 <li>
 Guide peers in troubleshooting, system design, DevOps processes, and cloud pipeline architecture.
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong proficiency in backend development: Java (Spring Boot), Groovy, Python, and distributed computing frameworks such as Spark and Hadoop.
 </li>
 <li>
 Hands-on experience with databases: MongoDB, MySQL, Oracle, as well as big data solutions including Hive and ETL pipeline design.
 </li>
 <li>
 Familiarity with frontend technologies (HTML, JavaScript, Angular) supporting dashboard, visualization, and portal development.
 </li>
 <li>
 Demonstrated experience in building scalable data analysis workflows, inventory mapping systems, and production monitoring solutions.
 </li>
 <li>
 Expertise in technologies such as ElasticSearch, Kafka, Docker, Kubernetes, and Grafana.
 </li>
 <li>
 Proven ability in incident management: code review coordination, release verification, and troubleshooting in cloud-native environments.
 </li>
 <li>
 Experience collaborating in global, cross-functional teams and providing technical mentorship.
 
 
 
 </li>
 </ul>
 Desired Qualities
 
 
 <ul>
 <li>
 Detail-oriented and passionate about data quality, process optimization, and infrastructure reliability.
 </li>
 <li>
 Proactive communicator and team contributor in fast-paced, distributed engineering organizations.
 </li>
 <li>
 High accountability for release outcomes and data workflow accuracy.
 </li>
 <li>
 Committed to continuous learning, technical documentation, and knowledge sharing.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or advanced degree in Computer Science, Software Engineering, or a closely related field.
 </li>
 <li>
 Professional experience in large-scale data systems, backend software engineering, and analytics platforms.
 </li>
 <li>
 Exposure to business data workflows, infrastructure automation, or external data aggregation is a plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

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 own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
 </li>
 <li>
 You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
 </li>
 <li>
 You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
 </li>
 <li>
 You will effectively communicate with the team, partners and stakeholders.
 </li>
 <li>
 You will mentor other engineers, define our challenging technical culture, and help to 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 (e.g., Apache Iceberg)
 </li>
 <li>
 You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
 </li>
 <li>
 You will diagnose technical problems, debug in production environments, and automate routine tasks
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
 </li>
 <li>
 8+ years of industry experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 8+ 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 (Gobblin, Kafka, Iceberg, ORC, 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 in architecting, building, and running large-scale systems
 </li>
 <li>
 Experience with open-source project management and governance
 
 
 
 </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>

Staff Software Engineer, Systems Infrastructure

<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

Microsoft

<div>
 
 Overview
 
 
 
 Overview Core AI is at the forefront of Microsoft&rsquo;s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The Agentic Core Services Team is responsible for building the cloud-native, distributed platform that powers the development, execution, and management of agentic applications at scale. Our mission is to provide the foundational infrastructure and runtime systems that enable developers to build intelligent, autonomous, and enterprise-grade AI agents with confidence and agility. In this role, you will help define the future of software and application development. You will shape how developers interact with our platform&mdash;from programming models and user experiences to the design of a managed, distributed runtime that orchestrates agent-based AI applications at scale with enterprise-grade guarantees. You&rsquo;ll work at the cutting edge of AI research, collaborating with some of the brightest minds in generative AI, and integrating the latest breakthroughs in multi-modal capabilities (text, audio, video) into real-world agentic applications. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We live this mission every day through a culture that embraces a growth mindset, values diverse perspectives, and encourages continuous learning. We believe in creating an environment where individuals bring their best selves to work, collaborate openly, and build technology that makes a meaningful impact. Join us and help shape the future of the world.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Creates and implements code for a product, service, or feature, reusing code as applicable. - Provides feedback for proposals for architecture, with technical leadership from others. - Tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. - Collaborates with architects to build and modify a product/solution feature, providing feedback as needed. - Contributes to the development of design documents that support user stories and other product requirements with oversight. - Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.  - Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation. - Champion Customer-Centric Development: Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging&mdash;ensuring the voice of the customer shapes product evolution. - Lead Live Site Excellence: Drive operational excellence in managing and operating large-scale distributed systems with a high bar for service-level agreements (SLAs). Lead root cause analyses (RCAs) for key live site incidents and outages, identify systemic improvements, and set high standards for reliability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications: - Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python  - OR equivalent experience. - 2+ years of experience designing, building, and operating production-grade software and services at scale, with a proven track record of delivering high-impact solutions. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: - Demonstrated expertise in solving complex technical challenges in one or more domains such as distributed systems, AI/ML infrastructure, developer platforms, or cloud services. - Experience engaging with customers during integration or deployment phases, with a focus on delivering value and incorporating feedback into product evolution. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
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Software Engineer 2

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