Storage Engineer Jobs in Bengaluru
1091 Jobs Found
Software Development Engineer Iii
Observe.ai Networks Private Limited
Software Development Engineer III Location: Bengaluru About Us: Observe.AI Observe.AI is a leading AI-powered platform revolutionizing customer experience. We enable enterprises to deploy AI agents that automate customer interactions, creating natural conversations and delivering predictable outcomes. Combining advanced speech understanding, workflow automation, and enterprise-grade governance, our platform empowers teams to guide and augment human agents with AI copilots, and analyze 100% of both human and AI interactions for insights, coaching, and quality management. Companies such as DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all communication channels. At Observe.AI, you will be building the backend that powers AI agents, transforming customer service for global enterprises. You'll work on high-scale, complex systems where your contributions have a direct and visible impact. In a culture that emphasizes speed, innovation, and ownership, this is your chance to sharpen your skills, drive forward innovation, and shape the future of AI-powered customer experiences. You will collaborate closely with product, design, and engineering leaders to define the technical roadmap and build solutions that matter. If you are looking for an environment where your ideas drive innovation, your expertise shapes the platform s future, and your growth is fueled by working with brilliant peers, Observe.AI is the place for you. What You ll Be Doing: AI Agent Development: Contribute to building and deploying AI agents (Voice Agents, Chat Agents, and Copilots) at enterprise scale for customer service. Full Application Lifecycle: Design, code, test, deploy, and debug applications with a high focus on quality throughout the entire lifecycle. Collaborative Roadmap Creation: Work with product and design teams to translate product goals into clear, actionable technical roadmaps. Reusable Code Development: Create reusable code, frameworks, and libraries to accelerate development, ensuring consistency across multiple projects. Optimization: Optimize applications for speed, scalability, and reliability, proactively addressing bottlenecks and performance issues. Security & Data Protection: Implement robust security measures and data protection practices to safeguard customer data and sensitive information. Scalable Data Storage: Design and manage scalable data storage solutions to ensure efficiency, reliability, and long-term maintainability. Efficient Data Pipelines: Build and scale data pipelines to process large volumes of data accurately and efficiently. Team Leadership: Review work of other team members, provide feedback, and lead by example across all aspects of the development lifecycle. Thought Leadership: Represent Observe.AI at tech conferences, demonstrating thought leadership and presenting solutions to complex challenges. What You ll Bring to the Role: 6-9 years of experience in building large-scale products with a strong track record of delivering high-quality solutions. Expertise in Python (with immediate proficiency), and familiarity with other high-level languages such as Java, Golang, or similar. Solid experience with SQL or NoSQL databases (e.g., Postgres, MongoDB, Cassandra). In-depth knowledge of asynchronous communication tools like Kafka, SQS, Temporal, etc. Understanding of popular caching tools such as Ehcache, Memcache, Redis. A customer-first mindset with the ability to adapt quickly in a fast-paced environment. Strong problem-solving skills and the ability to think and communicate from first principles. Open-mindedness to learning new technologies and staying current with industry trends. Perks & Benefits: Medical Insurance: Comprehensive medical coverage with free online doctor consultations. Leave Policies: Generous leave options, including privilege and sick leave as per Karnataka S&E Act, national and festive holidays, and parental leave. Learning & Development: A dedicated fund for continuous learning and professional development. Flexible Benefits: Tax-saving benefits (e.g., meal cards, PF, etc.) and flexible benefit plans. Team Culture: Regular fun events to promote collaboration and build company culture.
Lead Software Engineer - Scale & Performance
Team Vunet Systems
Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.
Solution Engineer
Team Vunet Systems
Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.
Technical Support Engineer - L2
Blueoptima
Position: Technical Support Engineer - L2 Job Type: Full-Time Location: Bangalore Department: Technical Support About BlueOptima: At BlueOptima, our mission is to be the global leader in optimizing the performance of software engineers across all industries. Through our cutting-edge metrics in software development, we empower large organizations to build better software, faster and at lower costs. Our innovative technology pushes the boundaries of what s possible, making a real difference in software delivery. With a global presence including offices in London, India, Mexico, the US, and Japan we are a diverse team of 120 people from over 20 countries. We foster a collaborative, open-minded environment where every individual can create their own success story in a high-performance setting. Job Description: As a Technical Support Engineer - L2, you will play a critical role as the senior technical leader between customer-facing teams, Product Management, and Engineering. You will provide deep technical expertise, troubleshooting complex issues, contributing to product development, and ensuring the smooth success of customer engagements. This role is highly dynamic and involves working closely with multiple teams, managing escalated support cases, coordinating new features and fixes, and creating internal best practices. Key Responsibilities: Customer Success Support: Act as a technical lead for pre-sales, deployment, and support teams. Troubleshoot escalated support issues, replicate environments, and collaborate with engineering to resolve problems quickly and efficiently. Product Feedback & Roadmap Alignment: Actively participate in "road-testing" pre-release software, providing crucial feedback to Product Management, and helping ensure customer requirements are aligned with the product roadmap. Technical Exploration & Research: Lead deep technical investigations, such as benchmarking custom use cases, and prototype new features to improve the overall customer experience. Enablement & Knowledge Sharing: Contribute to internal documentation, including product capabilities and best practices, and deliver regular training sessions to technical teams to promote continuous learning. Qualifications: Core Technical Skills: Advanced Systems Administration: Expertise in Linux and Windows, including performance tuning, kernel parameters, and filesystem management. Scripting Skills: Strong proficiency in Bash, Python, or similar languages to automate complex tasks and gather detailed debugging data. Enterprise Storage: Experience with SAN, NAS, and related enterprise storage technologies and architectures. Disaster Recovery: Hands-on experience with data copy, replication, and disaster recovery solutions. Cloud Storage: Experience working with Cloud Object Stores like AWS S3, Azure, or Google Cloud. Virtualization & Containerization: Knowledge of Docker, IaaS, and PaaS technologies. Additional Technical Skills: In-depth knowledge of version control systems (Git, Subversion). Familiarity with security concepts (Kerberos, SSL/TLS, LDAP). Advanced networking knowledge, including packet tracing and tuning. Understanding of Java concepts and integrations. Experience & Education: 10-15 years of experience in IT, with a focus on Linux-based systems and enterprise environments. Bachelor s degree in Computer Science or a related field. Soft Skills: Communication: Ability to explain complex technical concepts to both technical and non-technical audiences. Problem-Solving: Strong methodical troubleshooting skills and the ability to think critically in high-pressure situations. Customer-Facing Experience: Previous experience in customer-facing roles, with the ability to manage expectations and deliver results. Calm Under Pressure: A composed, professional demeanor even in high-stakes situations. Continuous Learning: Enthusiasm and curiosity to stay ahead of new technologies and industry trends. At BlueOptima, you ll be part of a pioneering company with a mission to transform the way software performance is optimized. We value innovation, collaboration, and individual growth, offering a dynamic and high-performance environment where your contributions truly make an impact. If you re looking to advance your career while working with cutting-edge technology, BlueOptima is the place to be. Qualification : Bachelors degree in Computer Science or a related field
Junior/senior Design Engineer - Hardware Design
Coreel Technologies
Position: Junior/Senior Design Engineer Hardware Design Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication / Electronics & Telecommunication M.E./M.Tech. in Electronics & Communication Experience: 2 to 4 years Job Overview We are looking for a passionate and detail-oriented Hardware Design Engineer (Junior/Senior level) to join our engineering team in Bangalore. In this role, you will be responsible for designing high-performance embedded hardware systems, from circuit design and schematic capture to board bring-up and testing. You ll work closely with cross-functional teams to deliver robust, scalable, and reliable hardware solutions, primarily for embedded and defense applications. Key Responsibilities Execute assigned hardware design tasks within defined timelines. Design and develop complex hardware circuits, schematics, and PCB layouts. Perform Signal Integrity (SI), Power Integrity (PI), and thermal analysis. Develop hardware test plans and execute board/system testing accordingly. Conduct board bring-up, validation, and debugging of hardware platforms. Participate in design reviews, defect prevention, and continuous improvement activities. Adhere to all QMS (Quality Management System) and project-specific processes. Prepare detailed technical documentation and maintain design records. Flag and resolve any technical challenges with guidance from tech leads. Technical Skill Set Strong expertise in circuit design, schematic capture, and PCB design. Hands-on experience with 16-bit or 32-bit processors/microcontrollers (e.g., ARM, PowerPC, IBM PPC 405, Intel x86). Experience with FPGA-based board designs. Good understanding of high-speed board design and signal integrity concepts. Familiarity with system interfaces: PCI, PCIe, VME, Compact PCI, ATCA/AMC is a plus. Exposure to embedded hardware design for defense applications. Understanding of qualification processes for industrial/defense-grade products. Proficiency in board bring-up and hardware debugging techniques. Technology Domains Storage Technologies: iSCSI, SATA, Fibre Channel Processors: MIPS, ARM, PowerPC Interfaces: USB, PCIe, PCI-X Memory: DDR, DDR2, RLDRAM Soft Skills & Attributes Strong verbal and written communication skills Excellent interpersonal and teamwork abilities Proactive and solution-oriented mindset Strong time management and organizational skills Opportunity to work on cutting-edge hardware design projects in embedded and defense domains Exposure to the complete hardware development lifecycle Collaborative and inclusive work culture Learning and development support Competitive compensation package Qualification : M.E./M.Tech. in Electronics & Communication
Platform Engineer
Colortokens
Platform Engineer Location: Bengaluru, Karnataka, India Full-time partially remote About ColorTokens At ColorTokens, we empower businesses to stay operational and resilient in an increasingly complex cybersecurity landscape. Breaches happen but with our cutting-edge ColorTokens Xshield platform, companies can minimize the impact of breaches by preventing the lateral spread of ransomware and advanced malware. We enable organizations to continue operating while breaches are contained, ensuring critical assets remain protected. Our innovative platform provides unparalleled visibility into traffic patterns between workloads, OT/IoT/IoMT devices, and users, allowing businesses to enforce granular micro-perimeters, swiftly isolate key assets, and respond to breaches with agility. Recognized as a Leader in the Forrester Wave : Microsegmentation Solutions (Q3 2024), ColorTokens safeguards global enterprises and delivers significant savings by preventing costly disruptions. Our culture We foster an environment that values customer focus, innovation, collaboration, mutual respect, and informed decision-making. We believe in alignment and empowerment so you can own and drive initiatives autonomously. Self-starters and high-motivated individuals will enjoy the rewarding experience of solving complex challenges that protect some of world s impactful organizations be it a children s hospital, or a city, or the defense department of an entire country. Position Overview: Colortokens is looking for a Junior Platform Administrator to assist in managing, maintaining, and optimizing our NextGen Security Information and Event Management (SIEM) platform. The ideal candidate will support the day-to-day operations, help onboard customer log sources, troubleshoot integration issues, and provide technical assistance to the security operations team. This role is ideal for a motivated professional with 3+ years of experience in SIEM administration, security operations, or log management. Key Responsibilities: SIEM Platform Administration Assist in deploying, configuring, and maintaining the NextGen SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, QRadar, Chronicle, Exabeam). Perform basic updates and patches to ensure platform security and functionality. Monitor SIEM health, performance, and uptime under the guidance of senior administrators. Log Source Management Onboard new log sources and validate data ingestion. Help troubleshoot log ingestion, parsing, and formatting issues. Maintain log retention policies for compliance. Rule and Use Case Management Support the development and deployment of detection rules, correlation use cases, and alerts. Tune existing use cases to minimize false positives. Work closely with security analysts to refine alerting strategies. Integration and Automation Assist in integrating SIEM with other security tools (e.g., EDR, microsegmentation, vulnerability scanners). Work on basic automation tasks using scripting (Python, PowerShell) to enhance SIEM efficiency. Platform Security and Compliance Support role-based access control (RBAC) and platform security policies. Help ensure SIEM adheres to compliance standards like SOC2, ISO 27001. Participate in periodic security audits. Network Debugging & Troubleshooting Have a basic understanding of TCP/IP, networking concepts, and protocols. Assist in debugging network connectivity issues related to SIEM log ingestion. Use basic network troubleshooting tools. Collaboration and Support Work alongside SOC analysts, threat hunters, and security engineers. Provide basic technical support for SIEM users. Assist in training and documentation for security teams. Performance Monitoring and Optimization Monitor storage and indexing performance to ensure optimal operations. Report any performance issues to senior administrators. Contribute to platform health reports and alerting metrics. Incident Support Assist SOC teams in log analysis, incident response, and forensic investigations. Ensure log data is readily available for security incidents. Education and Certifications: Bachelor s degree in Computer Science, Information Security, or a related field. Certifications (Preferred but not mandatory): Splunk Certified User/Admin Microsoft Certified: Security Operations Analyst Associate QRadar Certification Any SIEM-related certification Experience: 3+ years of experience in SIEM administration, security operations, or log management. Hands-on experience with at least one SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, Chronicle, Exabeam). Basic knowledge of log ingestion, rule creation, and data parsing. Exposure to scripting (Python, PowerShell) for automation. Basic understanding of TCP/IP networking concepts and network debugging. Technical Skills: Understanding of log formats, Syslog, JSON, XML, and data pipelines. Basic knowledge of querying languages (KQL, SPL, AQL). Familiarity with SIEM integration with security tools like EDR, SOAR, NDR. Awareness of MITRE ATT&CK, NIST, or CIS security frameworks. Basic experience with network troubleshooting tools (ping, traceroute, netcat (nc)). Soft Skills: Strong problem-solving and troubleshooting abilities. Good verbal and written communication skills. Ability to work collaboratively in a security operations environment. Preferred Skills: Basic understanding of cloud-based security solutions (AWS, Azure, Google Cloud). Exposure to SOAR tools (e.g., Cortex XSOAR, Splunk Phantom). Interest in machine learning-based anomaly detection for SIEM. Key Metrics for Success: Successful onboarding of log sources. Improvement in log ingestion and parsing accuracy. Contribution to fine-tuning detection rules. Timely resolution of SIEM-related support requests. Ability to identify and troubleshoot basic network connectivity issues.
Senior Data Scientist - LLM
5c Network Pvt. Ltd.
Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.
Software Engineer
Raad Systems
Position: Software Engineer Location: Bengaluru, Karnataka, India Reporting To: Project Manager Qualifications: Bachelor s Degree in Computer Science Engineering 2 to 5 years of relevant software development experience Core Skills & Technologies: Frontend Development: Expertise in React (JavaScript/TypeScript) for building dynamic, component-based single-page applications Experience with Vue.js as a lightweight, easy-to-learn alternative Familiarity with Angular for comprehensive, large-scale front-end applications Skilled in CSS frameworks like Bootstrap or Tailwind CSS to create responsive and attractive designs Optionally, frontend development using Python frameworks such as Django or Streamlit Backend Development: Proficiency in Python frameworks like Django, Flask, or FastAPI for rapid development and robust business logic implementation Experience with Java Spring Boot for scalable, enterprise-grade backend systems Database Management: Hands-on experience with relational databases such as PostgreSQL or MySQL for structured data management (e.g., Bill of Materials, orders) Knowledge of NoSQL databases like MongoDB for flexible, semi-structured data storage API Development: Skilled in designing and developing RESTful APIs for straightforward and widely supported data exchange Familiarity with GraphQL for efficient, flexible querying of complex data Authentication & Authorization: Experience implementing security protocols including OAuth2, JWT (JSON Web Tokens), or session-based authentication Qualification : Bachelors Degree in Computer Science Engineering
Senior Data Engineer
Synechron
Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field
Customer Success Engineer Ii
Rubrik
Customer Success Engineer II Technical Support | Cloud & SaaS Location: Bangalore, India Job Type: Full-Time | Customer Success | Cloud Technology | Technical Support About Rubrik s Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is committed to delivering an outstanding post-purchase experience. Our team of seasoned experts ensures smooth deployment, adoption, and continued usage of Rubrik s cloud data management and Zero Trust Data Security solutions. We handle complex technical support cases, guide customers through SaaS product adoption, and provide strategic consultation across a wide range of cloud platforms, data security tools, and enterprise IT ecosystems. Our engineers work closely with cross-functional teams, acting as trusted advisors and primary technical contacts, to maintain high standards of data protection, incident resolution, and customer success. About the Role We are looking for a highly skilled Customer Success Engineer II to join our fast-paced support team. In this role, you will provide enterprise-level technical support for Rubrik s data security solutions via phone, web, chat, and email. You will troubleshoot complex technical issues, support diverse cloud deployments, and deliver excellent service across hybrid infrastructure environments. Key Responsibilities Handle technical support tickets ranging from basic queries to advanced troubleshooting across cloud platforms and virtualized environments. Independently diagnose and resolve customer issues involving snapshots, replication, backup and recovery, data management, and infrastructure. Utilize cloud infrastructure knowledge to provide guidance and recommend best practices (AWS, Azure, GCP). Collaborate with internal teams such as Engineering and Escalations to resolve critical incidents. Deliver high-quality customer communication, ensuring transparency and issue resolution from start to finish. Author and contribute to technical documentation, including knowledge base articles, FAQs, and deployment guides. Continuously improve case resolution processes and provide insights into recurring issues. Analyze and report root causes; work with developers to file bugs and enhance product reliability. Share feedback and insights with product teams to drive platform improvements and enhance customer satisfaction. Support automation, DevOps, and microservices architecture as part of troubleshooting modern enterprise stacks. Required Skills & Experience 3+ years in a technical support, DevOps, or cloud infrastructure role supporting enterprise environments. Strong knowledge of VMware, Linux, Kubernetes, and cloud platforms like AWS, Azure, and Google Cloud Platform (GCP). Hands-on experience with Office 365 APIs, Microsoft SQL databases, scripting languages such as Python or Perl, and automation tools. Deep understanding of SaaS systems, cloud deployment models, and data protection principles. Demonstrated problem-solving skills with a passion for learning and adapting to new technologies. Ability to write clear technical documentation and communicate complex concepts to diverse audiences. Bachelor's degree in Computer Science, Information Technology, or related technical field. Preferred Qualifications Experience in supporting data backup and recovery, storage solutions, or cybersecurity tools. Exposure to Zero Trust Security models, data compliance standards, or incident management workflows. Strong collaboration skills with internal development, QA, and customer success teams. Previous experience contributing to internal knowledge systems or customer-facing documentation. At Rubrik, we are redefining data security and resilience. Our award-winning platform, Rubrik Security Cloud, powered by machine learning, protects enterprise, cloud, and SaaS environments from ransomware, cyber threats, and downtime. You ll work with passionate professionals who are dedicated to helping businesses secure their critical data and recover quickly in times of crisis.
Technical Staff, Software Engineering
Dell Technologies
Technical Staff, Software Engineering CTO Storage Team Location: Bengaluru, India Team: CTO Storage Company: Dell Technologies Role Overview You will architect and lead the development of advanced storage architectures focusing on data path technologies across Dell s storage portfolio. This senior technical role involves innovation in AI-driven infrastructure, storage protocols, and system integration, collaborating closely with product teams, management, and external partners to deliver cutting-edge solutions. Key Responsibilities Present innovative storage technology ideas to executive leadership. Architect detailed product designs including functionality, performance, integration, and hardware needs. Lead prototyping, testing, and validation efforts focusing on scalability and performance. Collaborate cross-functionally to build POCs and MVPs ensuring seamless integration of technologies. Mentor and uplift junior engineers and peers, encouraging innovative thinking and solutions. Essential Requirements Experience: 15+ years with Bachelor s degree, OR 12+ years with Master s degree, OR 8+ years with PhD, OR equivalent experience Expertise in AI-driven operations, telemetry, data integration, and storage connectivity/protocols. Deep knowledge of: Filesystem data paths, object protocols, Linux kernel ecosystem. Storage & networking drivers and standards. Unstructured & structured data ecosystems and connectors. Drive technologies and hardware ecosystem (CPU, PCIe, networking, DPU, offload engines). Strong programming skills in Embedded C and Python on Linux OS. Active contributions to open-source or tech communities, plus demonstrated leadership in mentoring. Desirable Qualifications Advanced certifications or publications in Storage Software, AI, Deep Learning, or related fields. Proven track record of leading impactful, innovative projects. Ongoing engagement with open-source projects or technical communities. Join a team pushing boundaries in storage and AI infrastructure, shaping the future of data management with innovative technologies. Collaborate with industry experts and enjoy growth opportunities while making a meaningful impact.
Principal Engineer, Google Cloud VMware Engine
Google Careers
Principal Engineer, Google Cloud VMware Engine Google - Bengaluru, Karnataka, India Join Google Cloud in Bengaluru, Karnataka, India and play a pivotal role in the Google Cloud VMware Engine (GCVE) team! Our mission is to empower customers to seamlessly move their VMware-based applications to Google Cloud without altering their existing apps, tools, or processes. As a Principal Engineer, you will spearhead the technical strategy for GCVE, driving the development of highly performant and scalable infrastructure with fully redundant and dedicated networking. You will ensure the availability necessary for demanding enterprise workloads and pioneer innovative solutions to dramatically reduce cloud migration timelines. In this critical role, you will lead the execution and delivery of the overall GCVE Systems Design. This includes influencing compute server design, platform architecture, network fabric, large cluster level Service Level Objectives (SLOs), reliability, observability, and alerting. You will also be instrumental in how these systems integrate with the broader Google Cloud Infrastructure and Services. Collaboration with external partners, particularly VMware, to co-create groundbreaking solutions will be a key aspect of this role. Leveraging your deep understanding of emerging cloud technologies, you will address the unique cloud requirements of VMware workloads. Your technical expertise will be crucial in bringing innovative software solutions to market, understanding enterprise workload requirements, and utilizing open source technologies. Google Cloud is dedicated to accelerating every organization's digital transformation. We provide enterprise-grade solutions leveraging Google s cutting-edge technology and developer-friendly tools. Join us as a trusted partner for customers in over 200 countries and territories, enabling their growth and solving their most critical business challenges. Responsibilities: Develop a forward-thinking technical roadmap for the Google Cloud VMware Engine organization, fostering continuous innovation and the implementation of novel systems solutions. Design, build, and deploy highly scalable solutions leveraging Google compute platforms, robust hardware, advanced networking, and sophisticated software infrastructure to deliver exceptional systems for VMware workloads at scale. Collaborate effectively across engineering teams involved in the build, design, and implementation of hardware and software spanning infrastructure domains such as platforms, server architecture, compute, storage, networking, and data analytics. Influence and establish best engineering practices for managing robust and scalable systems to proactively address exponential market demand. Provide technical leadership for cloud developer technology within Google and manage collaborations with cross-functional Engineering teams to optimize the adoption of Google Cloud Platform capabilities, both internally and for the broader cloud industry. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience. 15 years of experience in hardware and software design, data structures, and algorithms. Preferred Qualifications: Master's degree. Proven experience in delivering successfully within stipulated timelines. Demonstrated experience in successfully building software and large-scale distributed systems. Comprehensive understanding of private and public cloud design considerations and limitations in virtualization, global infrastructure, hypervisor technologies, networking, data storage, and security. Exceptional ability to work cross-functionally, partnering effectively with groups such as Sales, Engineering, Product Management, Product Marketing, UX, and UI, skillfully brokering trade-offs with stakeholders and understanding their diverse needs. Excellent narrative and storytelling skills with a proven ability to drive usage, adoption, and market momentum. Qualification : Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
Senior Software Engg - Systems
Mphasis Limited
Senior Software Engineer - Systems Location: Bangalore Experience: 4 6 Years Company: Mphasis Job Summary We are looking for a talented and passionate Storage QA/Test Engineer with 4 to 5 years of experience in manual systems testing. The ideal candidate should have a strong understanding of server architecture, storage protocols, and hands-on experience with functional testing, as well as the ability to design test cases and plans. Technical Skills (Mandatory) Expert in understanding Server Architecture, HBA adapters, and CNA adapters Strong knowledge of OS (Linux / Windows / VMware) system-level concepts In-depth expertise in Storage protocols: SAS, SCSI, SATA, iSCSI, DAS, NVMe, SSD, HDD Experience in Zoning, LUN masking, LUN configurations & representations Hands-on experience in Functional testing Design and development of test cases and test plans Familiarity with storage products like 3PAR, Alletra/Primera, Nimble, DELL, Cisco Proficiency in Shell scripting & Python Ability to prepare file defect reports and report test progress Excellent analytical, problem-solving, and debugging skills Strong communication skills Desired Skills Experience with Server bring up, OS deployment, and firmware installation Basic understanding of networking concepts Proficiency in Python/Golang/Selenium to automate test cases and debug frameworks Experience with GitHub version control and CI/CD (Jenkins) Ability to collaborate with Lab and Development teams Process Skills Participate as a team member and foster teamwork by collaborating within project modules Communicate effectively with stakeholders to ensure client satisfaction Train and coach project members for effective knowledge management Behavioral Skills Proactive attitude towards learning new technologies and solving complex technical problems Quick learner and excellent team player Excellent communication skills Certifications ISTQB certification is an added advantage (but not mandatory) About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach, leveraging the exponential power of cloud and cognitive technologies. The company s Service Transformation helps enterprises modernize legacy environments, ensuring they stay ahead in a changing world. Skill Breakdown Primary Competency: Storage Technologies Primary Skill: Manual Testing (60%) Secondary Competency: Server Technologies Secondary Skill: Hardware Testing (30%) Tertiary Competency: Server Technologies Tertiary Skill: Functional Testing (Server) (10%)
Software Development Manager For Cephfs
International Business Machines
Software Development Manager CephFS Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: Senior / Leadership Company: IBM Ceph Engineering Team Education: Bachelor s Degree (Master s preferred) Introduction: At IBM, we re not just redefining business we re redefining what s possible through technology, collaboration, and innovation. As one of the world's leading technology companies, IBM is transforming industries through the power of AI, Cloud, Analytics, Security, and IoT. With a presence in over 170 countries, we bring together diverse minds to solve complex challenges and build a smarter future. Join IBM s Ceph Engineering Organization and be a part of shaping the future of software-defined distributed storage. We're looking for an experienced and visionary Software Development Manager to lead the CephFS team the group responsible for the file system layer of the Ceph ecosystem. About the Role: As a Software Development Manager for CephFS, you ll play a key leadership role in designing, developing, and delivering new capabilities in CephFS, the scalable and highly available POSIX-compliant distributed file system built atop Ceph. You ll lead a global team of engineers, working in an open-source community, to develop enterprise-grade storage solutions for modern workloads. You will focus on building next-generation distributed file system features like instant cloning, file overlays, coherent snapshots, and advanced client-side caching. This role is a mix of hands-on technical leadership and people management, with strong collaboration across open-source communities, IBM product teams, and clients. Key Responsibilities: Lead and mentor a team of talented engineers working on CephFS. Drive the design and implementation of new distributed features and algorithms for file system scalability, performance, and resiliency. Collaborate with the global Ceph open-source community to contribute and review code, resolve issues, and plan new features. Guide the team in debugging complex production issues, both live and offline. Collaborate with client-facing and support teams to perform root cause analysis for customer-reported issues. Contribute to the architecture and roadmap of CephFS in alignment with product and client needs. Engage in code reviews, triaging, and architectural discussions. Promote engineering best practices and a culture of continuous improvement. Required Skills & Experience: Bachelor s degree in Computer Science or related field. Strong experience working with C++ or other systems programming languages. Excellent debugging skills (live system and core file analysis). Hands-on experience in open-source development (preferably with contributions to GitHub). Good understanding of large-scale codebases and the ability to design and implement major features or changes. Comfortable working with Python for automation and testing. Proficiency with Git and GitHub workflows. Excellent verbal and written English communication skills to coordinate with a distributed, global team. Proven ability to mentor and support engineers while driving technical excellence. Preferred Qualifications: Master s degree in Computer Science or related field. Experience in building or maintaining file systems or distributed storage platforms. Prior work in distributed systems, high-performance computing, or cloud-native storage. Experience working in remote/distributed teams. Familiarity with systems like OpenStack, Kubernetes, or NFS-Ganesha. Work with world-class engineering teams on products that power global enterprise infrastructure. Be part of a vibrant open-source community, contributing to widely adopted storage technologies. Enjoy a culture of continuous learning, innovation, and impact. Competitive salary, benefits, and flexible work arrangements. Be essential. Be a leader in redefining how the world stores and accesses data. Apply today to join IBM s CephFS team and help build the future of enterprise file storage. Qualification : Bachelors degree in Computer Science or related field.
Devops Engineer
Pure Storage
Join Us in Revolutionizing the Data Storage Industry We're leading an exciting transformation in the data storage industry. By joining us, you will have the opportunity to make a significant impact, grow alongside a brilliant team, and be at the forefront of cutting-edge technology. If you re passionate about reshaping the future of tech, this is your chance to leave your mark. The Challenge: As a DevOps Engineer, you will be responsible for managing, automating, and optimizing our VMware, cloud, and on-prem Kubernetes infrastructure. Your role will be critical in ensuring the high availability, performance, and scalability of our services. You will work closely with cross-functional teams to architect solutions that improve our engineering operations and align with business needs. Key Responsibilities: Infrastructure Design & Management: Design, deploy, and maintain scalable VMware, Cloud (AWS, GCP, Azure, IBM), and Kubernetes environments. Custom Solutions Development: Develop and implement tailored OpenStack/VMware/Kubernetes solutions based on organizational needs. Automation & CI/CD: Build automation tools and frameworks (CI/CD pipelines) to streamline infrastructure operations and manage workloads (VMs/Pods) lifecycles. Observability & Best Practices: Implement observability best practices for OpenStack/VMware/Kubernetes environments, ensuring reliability and performance. Continuous Improvement: Provide expertise in DevOps methodologies to support continuous improvement and optimize infrastructure efficiency. Troubleshooting & Support: Assist with deployment, configuration, troubleshooting, and provide infrastructure support for AWS/Azure environments. Documentation & Knowledge Sharing: Create and maintain documentation for OpenStack/VMware/Kubernetes architecture and stay current with emerging technologies and industry best practices. On-Call Support: Participate in the follow-the-sun on-call rotation for infrastructure support. What You ll Need to Bring: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of experience managing and automating large-scale VMware, OpenStack, or Kubernetes environments. Programming Skills: Proficiency in Python, Java, or Go for scripting and automation. DevOps Knowledge: Strong understanding of DevOps principles with hands-on experience using tools like Ansible, Terraform, or Puppet. Observability Expertise: Experience implementing observability solutions with tools like Prometheus, Grafana, Logstash, Elastic, Fluent-bit, or Fluentd. Linux & Networking: Familiarity with Linux, TCP/IP, DNS, DHCP, and related networking concepts. OpenStack/Vmware/Kubernetes: Proven experience working with OpenStack (e.g., OpenStack Yoga), VMware, or Kubernetes (particularly enterprise Kubernetes clusters on bare metal). Virtualization & Containerization: Expertise in virtualization technologies (KVM, VMware, KubeVirt) and container technologies (Docker, Kubernetes). Cloud Experience: Experience with infrastructure support and automation for AWS, Azure, or GCP. Problem-Solving Skills: Excellent troubleshooting abilities with great attention to detail. Communication & Collaboration: Strong interpersonal skills and the ability to collaborate across teams. Preferred Qualifications: Experience with PureStorage products such as FlashArray, FlashBlade, or Portworx. Certifications in Kubernetes (CKA, CKAD), VMware (VCP), or OpenStack (COA). Experience running production VMs in KubeVirt. Familiarity with agile environments and project management tools. What You Can Expect from Us: Pure Innovation: We celebrate critical thinkers, challenges, and trailblazers who strive to innovate. Pure Growth: We support your growth and provide the space for you to contribute meaningfully. We're proud to be named in Fortune's Best Workplaces and certified as a Great Place to Work. Pure Team: We focus on collaboration and teamwork, setting aside ego for the greater good. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.
Data Engineer
Indium Software
Data Engineer Role Overview We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. You will work closely with data scientists, analysts, and engineers to ensure efficient data processing and storage solutions that support business intelligence and analytics needs. This role requires expertise in SQL, big data technologies, and cloud platforms to build and optimize data workflows. Key Responsibilities Data Pipeline Development & Optimization Design and build scalable ETL/ELT processes for structured and unstructured data. Develop and maintain data ingestion frameworks to handle large datasets efficiently. Ensure data integrity, consistency, and security across multiple sources. Database & Data Warehouse Management Develop, optimize, and maintain relational and NoSQL databases. Implement data modeling best practices for performance and scalability. Work with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Big Data & Cloud Technologies Leverage big data tools (e.g., Spark, Hadoop, Databricks) for data processing. Work with cloud platforms (e.g., AWS, Azure, GCP) to build and optimize data solutions. Develop real-time and batch processing workflows. Collaboration & Documentation Work closely with data scientists, engineers, and business teams to understand data requirements. Document data pipelines, architecture, and workflows for scalability and maintenance. Required Qualifications & Skills Technical Expertise: Strong experience with SQL and Python for data processing. Proficiency in ETL/ELT frameworks and data integration techniques. Hands-on experience with big data tools (e.g., Apache Spark, Hadoop, Kafka). Cloud & Database Management: Expertise in cloud data platforms (Azure, AWS, GCP). Experience with data warehousing solutions (Snowflake, Redshift, BigQuery). Understanding of data governance, security, and compliance. Performance Optimization & Troubleshooting: Ability to optimize SQL queries and improve data processing efficiency. Experience troubleshooting complex data pipeline issues. Apply Now & Be Part of an Innovative Data Team!
Senior Software Engineer - Azure Storage
Microsoft
Overview The Microsoft Azure Storage team is looking for a Senior Software Engineer - Azure Storage with design, coding, and testing skills, to develop strategy and automation to validate Azure's massive distributed storage system. We are looking for talented Senior Software Engineer - Azure Storage who are customer obsessed and passionate about creating high quality end to end experiences that delight customers. You will have an opportunity to make high impact changes on a daily basis as you work on a hyperscale storage system that may indirectly or directly be used daily by your friends and family. Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or C# OR equivalent experience. 3+ years of experience in developing software/drivers for Windows PCs or Embedded systems. 3+ years of experience with Windows Kernel debugging, Windbg Debug Extensions, and auto analysis 3+ years of experience building scalable, distributed services. Familiarity with engineering build tooling and automation at scale. 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. Additional / Preferred Qualifications: Experience with a large scale storage, high quality code, distributed systems, and cloud services. Competent in software engineering practices, coding and foundation in data structures, algorithms with testing, debugging and analytical skills. Knowledge of UMDF/KMDF driver fundamentals and knowledge of new hardware platform enablement and bring-up activities. #Azurecorejobs Responsibilities Design, develop and operate scalable, low latency and high throughput cloud services and frameworks to stress storage backend. Work on complex and critical cloud scale storage features integration. Play a crucial role in the product quality by designing end to end scenario validation. Develop software and infrastructure for new hardware storage solutions (Windows Drivers, Windows services, fault analysis automation, performance analysis). Experiment, study and analyze the system behavior, health under different load conditions. Take an active role and partner with peer teams and external partners to ensure new storage features meeting target availability, security and reliability. Drive cross organization Quality initiatives to streamline release quality gates and release pipeline. Being part of Azure core team, work on the product code base to improve its test-ability, diagnostic-ability, debug-ability and overall product health for the storage system. Qualification : Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or C# OR equivalent experience.
Senior Software Engineer - Data Platform
Databricks
About Databricks At Databricks, we are passionate about enabling data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating the development of medical breakthroughs. We build and run the world s best data and AI infrastructure platform, empowering our customers to use deep data insights to transform their businesses. Databricks Mosaic AI offers a data-centric approach to building enterprise-quality Machine Learning (ML) and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, trained and augmented with their enterprise data. We re only getting started in Bengaluru, India, where we are currently setting up 10 new engineering teams from scratch! The Opportunity Senior Software Engineer As a Senior Software Engineer at Databricks India, you ll have the opportunity to work on a variety of challenging projects across multiple domains: Backend Engineering Distributed Data Systems (DDS) Full-Stack Development The Impact You ll Have 1. Backend Engineering Join our Backend teams and tackle challenges that range from product to infrastructure: Solve complex problems in distributed systems, large-scale service architecture, monitoring, workflow orchestration, and developer experience. Build reliable, high-performance services and client libraries for managing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Work on scalable services (e.g., Scala, Kubernetes) and data pipelines (e.g., Apache Spark, Databricks) that support our pricing infrastructure, processing millions of cluster-hours per day. 2. Distributed Data Systems (DDS) Work across a range of exciting DDS projects: Apache Spark Data Plane Storage Delta Lake Delta Pipelines Performance Engineering 3. Full-Stack Engineering As a Full-Stack Software Engineer, collaborate closely with your team and product managers to create intuitive user experiences that delight our customers. What We Look For BS or higher in Computer Science or a related field. 7+ years of production-level experience in one or more of the following languages: Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures (SOA). About Databricks Databricks is the data and AI company trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices around the globe. Qualification : BS (or higher) in Computer Science, or a related field.
Senior Staff Software Engineer, Google Cloud
Google Careers
About the Job Google's software engineers develop next-generation technologies that transform how billions of users connect, explore, and interact with information and one another. Beyond web search, our products must manage information at a massive scale, leveraging expertise in fields such as distributed computing, large-scale system design, networking, data storage, artificial intelligence, natural language processing, UI design, and mobile. As a Software Engineer, you'll work on mission-critical projects, with opportunities to switch teams and projects as you and our fast-paced business evolve. We seek engineers who are versatile, demonstrate leadership qualities, and are enthusiastic about solving new challenges across the full-stack as we continue pushing technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables while designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. Google Cloud helps organizations digitally transform with cutting-edge infrastructure, platforms, and solutions, all while operating on the cleanest cloud in the industry. Trusted by customers in more than 200 countries and territories, Google Cloud is a partner that enables growth and solves critical business challenges. Responsibilities Provide technical leadership on high-impact projects. Influence and mentor a distributed team of engineers. Facilitate alignment across teams, ensuring clarity on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Minimum Qualifications Bachelor s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience in software design and architecture, including testing and launching software products. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 5 years of experience in a technical leadership role, leading project teams and setting technical direction. 3 years of experience working in complex, matrixed organizations on cross-functional or cross-business projects.
Automation Engineer (python, Ai/ml)
Netapp
About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." - George Kurian, CEO Job Summary We are looking for a Software Engineer to join our Performance Engineering Infrastructure team. We work on developing tools and automation frameworks that make ONTAP the most performant storage operating system. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing frameworks that help build performance models and performance benchmarks to measure, analyze, visualize, and improve ONTAP performance. You will work on developing new and/or enhancing existing tools focused on performance aspects of the ONTAP software stack. This is a great opportunity to solve challenging, complex problems with immediate applications in a high-growth sector of the tech industry. If you like creative problem-solving, are willing to constantly learn new technologies, and have a getting things done attitude, you may be just the person we re looking for! Job Requirements Proficient in Python and Python-based web frameworks. Knowledge of other scripting languages like Perl, Shell, and Expect is a plus. Experience in building/supporting automation frameworks (generally Python-based) and tools to measure and improve performance of complex software stacks. Demonstrated ability to learn new software stacks and be able to quickly prototype ideas. Experience with GenAI, AI/ML frameworks, and tools such as TensorFlow, PyTorch, LangChain, etc. will be a very strong advantage. Experience in big data technologies like Spark, Hadoop, and distributed storage systems for handling large-scale datasets will be a plus. Basic understanding of orchestration frameworks like Kubernetes and containerization technologies like Docker will be a plus. Knowledge of data storage systems and file systems will be a plus. Ability and willingness to adapt to a rapidly changing work environment and willingness to take on additional tasks and responsibilities. Education 5 or more years of related experience. A Bachelor of Science degree in Computer Science Engineering, a Master s Degree, or a PhD. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. Qualification : A Bachelor of Science degree in Computer Science Engineering, a Masters Degree, or a PhD.
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