Network Scalability Jobs in Bengaluru
625 Jobs Found
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.
Vendor Management Associate
Laundryheap Limited
Position: Vendor Management Associate Location: Bengaluru Department: Partner Operations Job Type: Full-Time About Laundryheap: Laundryheap is a fast-growing tech start-up that is transforming the laundry and dry cleaning industry. We offer a revolutionary service that picks up, cleans, and delivers laundry within 24 hours, and are currently available in 14 markets worldwide. After our successful launch, we are expanding our team to drive further growth and continue our global expansion. The Role: As a Vendor Management Associate, you will be a key player in supporting and enhancing the performance of our partner facilities across various regions. Reporting directly to the Compliance Manager, you will be responsible for ensuring smooth daily operations, resolving partner issues, and maintaining high-quality standards and scalability within our partner network. Your role will be crucial in driving performance, consistency, and operational excellence within our partner operations. Key Responsibilities: Oversee Daily Operations: Ensure consistent, high-quality service delivery from partner facilities, monitoring operations to maintain Laundryheap's standards. Partner Onboarding & Offboarding: Manage the end-to-end process for onboarding and offboarding partners, ensuring they meet operational standards and align with our business goals. Monitor & Support Partner Performance: Track and monitor Key Performance Indicators (KPIs) and partner performance, ensuring that operational targets are consistently met. Provide ongoing support to partners as needed. Conduct Regular Check-ins & Reviews: Lead virtual check-ins with partners to review their progress, address concerns, and reinforce expectations. Conduct monthly performance reviews covering key metrics such as capacity, quality, complaints, payments, and audit outcomes. Issue Resolution & Escalation Management: Proactively resolve partner issues and manage escalations to ensure minimal service disruptions and optimal partner satisfaction. Training & Development: Identify training needs for both new and existing partners and ensure that performance standards are consistently met. Organize and deliver training when necessary. Cross-Functional Collaboration: Collaborate with internal teams (e.g., Regional Associates, Operations) to support order processing, inventory management, and administrative tasks, ensuring smooth operational flow across functions. Continuous Improvement: Contribute to cross-functional initiatives, process improvements, and sourcing strategies to enhance overall partner performance and operational efficiency. Skills & Requirements: Strong Communication & Relationship Management: Excellent interpersonal skills with the ability to build and maintain positive relationships with internal teams and external partners. Analytical Ability: Strong analytical skills, with the ability to interpret data and present actionable insights to improve operational processes. Organizational Skills: Highly organized, proactive, and detail-oriented, with the ability to multitask and stay focused in a fast-paced, dynamic environment. Accountability & Adaptability: Strong sense of ownership and accountability, with the ability to adapt to changing priorities and work autonomously. Language Skills (Good to Have): Proficiency in French, Spanish, Hindi, Urdu, Arabic, or Bengali is a plus. Preferred Experience: CRM & BI Tools: Familiarity with CRM platforms, Business Intelligence tools, or Google Data Studio for performance tracking and reporting. International Operations: Exposure to managing international operations or B2B commercial processes, preferably in high-growth environments. Relevant Industry Experience: 2+ years of experience in a high-growth, operations-focused role. Experience in the laundry or dry cleaning industry is a plus. At Laundryheap, we offer a fast-paced, collaborative environment where you can take ownership of your role, grow your skills, and make a real impact from day one. If you're looking to build your career in operations and be part of a supportive and ambitious team, we'd love to have you on board.
Data Scientist I
Bright Money
Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Software Development Manager
Kaleidofin Private Limited
Software Development Manager Experience: 8+ Years Location: Bangalore Company: Kaleidofin About Us Kaleidofin is a mission-driven fintech platform committed to delivering financial solutions for underserved communities. Our proprietary ki credit platform combines advanced credit health analytics, middleware integration, risk dashboards, and debt capital structuring empowering financial institutions to serve low-income customers, informal sector businesses, and MSMEs more effectively. Operating across India, Bangladesh, and Kenya, we ve already impacted over 6 million customers, enabling over $3 billion in debt capital for underserved communities. Backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures, Kaleidofin is recognized as a leader in inclusive finance. Featured on Forbes Asia's "100 to Watch" Winner of RBI s Swanari TechSprint 2023 Winner of G20 TechSprint 2024 by BIS Certified as a Great Place to Work Role Overview As a Software Development Manager, you will play a key leadership role in shaping the technical roadmap and executing high-impact fintech products. You ll lead a team of engineers to build scalable, secure, and robust systems. This is a hands-on leadership role requiring active involvement in design, architecture, and code-level decisions. What You ll Do Own the product s engineering roadmap, architecture, scalability, and code quality. Guide system design decisions and lead architecture/code reviews. Collaborate closely with Product and Business teams to align on product strategy and feature development. Provide hands-on technical leadership especially in solving complex problems in fintech and lending domains. Mentor and develop engineering talent; foster a culture of ownership, innovation, and quality. Champion engineering best practices including test automation, CI/CD, and DevOps. Lead the adoption of data-driven practices including Big Data, PySpark, and data pipeline architectures. Balance short-term deliverables with long-term technical sustainability and scalability. Support team growth through career development, learning plans, and succession planning. 8+ years of software development experience, with 1 2+ years in people/team management roles. Strong fundamentals in computer science, system design, and problem-solving. Bachelor's or Master's degree in CS or related field from a top engineering institution (IITs, NITs, etc.). Proven experience building distributed, scalable, and secure systems. Strong hands-on experience with Python, Java, Spring Boot, and microservice architectures. Proficient in SQL/NoSQL, Kafka, CI/CD pipelines, and DevOps tools (Docker, Kubernetes, Jenkins, etc.). Familiarity with AI/ML model integration and credit scoring systems is a strong plus. Experience with data engineering: Big Data, Spark, Airflow, AWS stack (S3, Glue, Athena), etc. Knowledge of front-end and mobile (Android) development is a plus. Experience working in fintech, lending tech, or high-growth startup environments preferred. Excellent leadership, communication, and cross-functional collaboration skills. Be part of a high-impact team driving financial inclusion at scale. Work on cutting-edge technology in fintech and data infrastructure. Grow with a company that s winning global recognition and delivering real-world impact. Contribute to a people-first culture that values learning, innovation, and work-life balance. Qualification : Bachelor's or Master's degree in CS or related field from a top engineering institution
General Manager - Network Infra & Security
Brigade Enterprises Ltd
Job Title: General Manager Network Infrastructure & Security Location: Bangalore Department: IT and Systems Employee Type: Permanent Experience Required: 10 20 years Job Summary We are seeking a seasoned and strategic IT Infrastructure and Cybersecurity Leader to oversee and drive the company s enterprise-wide infrastructure and security initiatives. This role is responsible for developing and executing the vision, strategy, and programs to ensure the availability, performance, and security of our IT systems and data. The ideal candidate will work closely with executive leadership to align technology and security efforts with organizational objectives and risk tolerance. Key Responsibilities IT Infrastructure Management Lead the planning, implementation, and management of core IT infrastructure including networks, servers, cloud platforms, storage, and enterprise systems. Ensure high availability, performance, and scalability of IT infrastructure to support business operations. Oversee disaster recovery and business continuity strategies to mitigate operational risk. Manage vendor relationships, contracts, and Service Level Agreements (SLAs). Monitor system performance and continuously implement efficiency improvements and optimizations. Cybersecurity Leadership Establish, implement, and maintain cybersecurity policies, procedures, and standards across the organization. Conduct regular risk assessments, vulnerability scans, and implement corrective actions. Oversee security tools and solutions, including firewalls, antivirus, endpoint protection, SIEM, and intrusion detection systems. Lead incident response efforts, forensic investigations, and post-event reviews. Ensure compliance with relevant cybersecurity and data privacy regulations (e.g., ISO 27001, GDPR). Leadership & Cross-functional Collaboration Lead, mentor, and manage a team of IT infrastructure and security professionals. Collaborate with stakeholders across departments to align IT and cybersecurity strategies with business goals. Provide executive-level reporting on infrastructure performance, risk posture, incident management, and compliance metrics. Drive a culture of cybersecurity awareness and operational excellence throughout the organization. Qualifications & Experience Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Master s degree preferred. Certifications (Preferred): CISSP, CISM, CISA, or equivalent professional certifications. Experience: 18+ years of progressive experience in IT infrastructure, cybersecurity, and risk management. Deep knowledge of security frameworks such as ISO/IEC 27001 and regulatory standards like GDPR. Proven experience in formulating and implementing enterprise-wide security policies and managing dynamic IT environments. Key Skills: Strategic planning & execution Project & vendor management Security architecture and governance Cross-functional collaboration & stakeholder communication Managing Security Operations Centers (SOC) Preferred Skills & Competencies Strong analytical and problem-solving skills to align business needs with technology solutions. Experience in documenting and executing security architecture and strategic plans. In-depth knowledge of IT networks, infrastructure systems, and cloud environments. Ability to communicate technical concepts to both technical and non-technical audiences, including C-level stakeholders. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field
Devops Engineering Manager
Medi Assist
Position: DevOps Engineering Manager Location: Bangalore Experience: 5 10 years Education: BE/BTech/MCA/MTech/MSc Role Overview: We re looking for an experienced DevOps Engineering Manager to lead our cloud infrastructure, automation, and DevOps initiatives. This is a hands-on leadership role focused on driving efficiency, security, and scalability across our IT operations and development pipelines. Key Responsibilities: Cloud & Infrastructure Management: Administer and manage Google Workspace, including user accounts, security policies, and compliance settings. Oversee and optimize AWS resources (EC2, IAM, S3, VPC), ensuring cost-effective and secure cloud operations. Configure and manage A10 vThunder for load balancing and network performance optimization. Serve as Active Directory Administrator, maintaining AD, DNS, and Group Policy Objects (GPOs). Deploy, maintain, and troubleshoot VMware environments to support virtual infrastructure. Security & Compliance: Manage domain and SSL certificates including installation, renewal, and issue resolution. Handle ADFS token certificate renewals to support uninterrupted authentication services. Enforce security best practices across cloud and on-prem environments. Automation & Scripting: Create and maintain automation scripts using Bash, PowerShell, or Python to streamline workflows. Reduce manual intervention and boost system efficiency through smart scripting and task automation. Monitoring & Troubleshooting: Proactively monitor system logs, performance metrics, and security alerts to prevent downtime. Investigate and resolve issues related to network, infrastructure, and cloud environments promptly. Required Skills & Experience: Proven experience with infrastructure automation tools such as Terraform or CloudFormation. Strong understanding of DevOps practices and implementing CI/CD pipelines for cloud deployments. Solid scripting skills in Bash, PowerShell, or Python. Expertise in managing both cloud-based and on-premise infrastructure. Strong troubleshooting capabilities and a proactive approach to system monitoring. Qualification : BE/BTech/MCA/MTech/MSc
Circle Head - Wireline Deployment
Airtel
Job Title: Circle Head Wireline Deployment Location: Bangalore Function: Network Wireline Homes Deployment Employee Type: Full-Time Experience Required: 12 to 15 Years Purpose of the Role The Circle Head Wireline Deployment is responsible for end-to-end execution of fiber rollout and transmission ISP implementation to meet internal and external bandwidth demands. The role ensures robust and scalable network deployment to support business growth across Mobility, FTTH, FTTB, and B2B services. This includes managing multi-functional teams, vendor operations, digitization tools, and government clearances for fiber infrastructure development. Key Responsibilities Fiber Rollout & Network Implementation Oversee the execution of fiber rollout projects (Intercity/Intra-city, FTTH, NLD, LMC) with a focus on quality, timeliness, and compliance. Ensure successful delivery of Home-passes and LM fiber for business segments such as FTTH, B2B, and Mobility. Drive 100% Acceptance Testing (AT) for deployed fiber kilometers/LMs. Network Infrastructure & Optimization Lead the implementation and capacity expansion of critical network elements (Core/Collector/OLT) as per transmission plans. Ensure alignment of new deployments with customer bandwidth needs and long-term scalability. Vendor & Program Management Manage vendor performance, coordinate execution plans, and ensure delivery against project timelines. Optimize material consumption and reduce inventory with effective coordination between SCM, stores, and implementation partners. Regulatory Compliance (ROW) Facilitate Right of Way (ROW) permissions through liaison with government authorities and partners. Validate and process commercial payments, track security deposits, and ensure proper documentation and recovery. Digitization & Process Enhancement Drive the adoption and integration of tools like Fiber Force App and GIS systems for real-time fiber tracking, monitoring, and data reporting. Set KPIs and performance metrics to ensure visibility, accountability, and continuous improvement. Stakeholder Management Build and maintain collaborative relationships with cross-functional teams (Planning, NOC, Marketing, Mobility, FTTH Planning, etc.) to ensure seamless network deployment. Act as a key liaison for internal teams and external stakeholders to facilitate project success. Qualifications & Experience Educational Qualification: B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream. Experience: 12 15 years of proven experience in OSP/ISP deployment within Transport, FTTH, and MPLS Networks. Project Management: Must have handled large-scale fiber deployment projects with team and vendor oversight. Key Competencies Deep understanding of telecom infrastructure and deployment models. Strong leadership with team motivation, decision-making, and vendor management skills. Excellent communication and interpersonal skills to influence stakeholders and resolve field-level challenges. Proficiency in handling digital monitoring tools and driving operational digitization. Qualification : B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream
Technical Lead Devops
Subex Limited
Position: Technical Lead - DevOps Location: Bangalore Rural, Karnataka, India Department: Data Platform and DevOps Employment Type: Subexian Experience Required: 3 to 6 years Job Overview: We are seeking an experienced Kubernetes Administrator with a strong background in managing containerized environments. The ideal candidate will have 4+ years of hands-on experience in deploying, configuring, and optimizing Kubernetes clusters to drive scalability, reliability, and performance. This is an excellent opportunity to leverage your expertise in Kubernetes orchestration while contributing to the overall success of our platform. Key Responsibilities: Cluster Management: Deploy, configure, and manage Kubernetes clusters both on-premises and across cloud platforms such as AWS, Azure, and GCP. Security & Compliance: Implement best practices for cluster security, including role-based access control (RBAC), network policies, and data encryption at rest and in transit. Automation: Automate cluster provisioning and ongoing management using tools like Terraform, Ansible, or Helm charts, streamlining operations and reducing manual tasks by 40%. Monitoring & Performance: Continuously monitor cluster health and performance metrics using tools like Prometheus, Grafana, ensuring high availability and optimal performance. CI/CD Pipelines: Design and implement CI/CD pipelines for containerized applications using tools such as Jenkins, GitLab CI/CD, and CircleCI to enable smooth continuous delivery. Collaboration: Work closely with development teams to troubleshoot issues, optimize application performance, and ensure compatibility with Kubernetes environments. Security Audits: Conduct regular security audits to identify vulnerabilities and ensure compliance with industry standards. Documentation: Maintain clear and comprehensive documentation for deployment procedures, configuration settings, and troubleshooting guides to enhance knowledge sharing within the team. Infrastructure Management: Administer and maintain Linux/Unix servers and virtualization platforms such as VMware or KVM, ensuring seamless operations across the infrastructure. Backup & Recovery: Implement and manage robust backup and disaster recovery solutions to ensure data integrity and minimize system downtime. Technical Support: Provide expert-level technical support for server and network infrastructure-related issues. Required Skills & Qualifications: Proven experience in Kubernetes deployment, configuration, and administration. Strong command of containerization technologies, including Docker and containerd. Hands-on experience with cloud platforms such as AWS, Azure, and GCP. Proficiency in Infrastructure as Code (IAC) tools like Terraform and Ansible. Familiarity with CI/CD pipelines and automation tools like Jenkins and GitLab CI/CD. Excellent troubleshooting and problem-solving skills. Strong communication and collaboration abilities, with the capability to work effectively across cross-functional teams. If you re passionate about DevOps, Kubernetes, and driving the success of containerized environments, we d love to hear from you!
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 - C++
Cynlr - Cybernetics H.i.v.e
Job Title: Software Engineer C++ Location: Bengaluru Overview: We are seeking a highly capable and detail-oriented C++ Software Engineer to join our core development team in Bengaluru. This role requires strong expertise in C++ across both Windows and Linux environments, with a focus on performance optimization, multithreading, and scalable architecture design. The ideal candidate will have hands-on experience in high-throughput systems such as image processing pipelines or neural network-driven applications. Key Responsibilities: Develop and maintain high-performance C++ applications for Windows and Linux platforms. Optimize processing cycles and memory usage for large-scale image pipelines (e.g., 1 GB/sec camera data). Design and implement robust object-oriented software architectures emphasizing scalability and modularity. Work with multi-threaded programming libraries such as pThreads, OpenMP, and OpenCL. Translate, implement, and optimize DSP algorithms and/or neural network architectures. Build, maintain, and distribute DLLs and static libraries. Design and document API architectures for internal and external integrations. Utilize state machine architecture for structured process flow when required. Implement and maintain test frameworks to ensure code quality and performance. Follow best practices throughout the software development lifecycle, including code reviews and CI/CD. Maintain clear documentation and write clean, readable, and maintainable code. Required Skills & Experience: Proven C++ expertise on Windows and Linux platforms. Strong knowledge of object-oriented programming, design patterns, and modular code design. Experience with multi-threaded programming and parallel architecture design. Proficiency in API development and system integration. Experience building and managing shared and static libraries. Skilled in algorithm optimization, especially for image processing or neural network use cases. Familiarity with software lifecycle best practices, agile methodologies, and version control. Strong commitment to documentation and code quality. Preferred Qualifications: Exposure to state machine architecture. Experience with DSP or image processing algorithms. Understanding of test-driven development and CI frameworks.
Ai-ml Architect
Camsdata Technologies India Pvt. Ltd.
AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields
Architect Infrastructure Solutions
Camsdata Technologies India Pvt. Ltd.
Architect Infrastructure Solutions Location: Bangalore (Bengaluru) Experience: 8 to 12 Years Job Role: Infrastructure Solutions Architect Industry: IT Infrastructure & Cloud Services Job Summary: We are seeking a skilled Infrastructure Solutions Architect to design, document, and lead enterprise infrastructure projects, including virtualization, data center upgrades, migrations, and cloud integration. The ideal candidate will have hands-on experience with infrastructure technologies and the ability to deliver comprehensive design documentation and presentations. Key Responsibilities: Architect, design, and document enterprise infrastructure solutions including VMware virtualization, Nutanix, NetApp, EMC, and Windows Servers Develop high-level and low-level design diagrams, technical documentation, and detailed solution specifications Lead infrastructure upgrade, refresh, migration, and Hyper-Converged Infrastructure (HCI) projects Design and implement solutions for server, storage, backup, data center, high availability, disaster recovery, and business continuity Collaborate closely with cross-functional teams including server, network, architecture, operations, engineering, and project management Define and promote infrastructure best practices and standards Analyze existing infrastructure and recommend improvements for performance, cost efficiency, and scalability Prepare technical presentations and documentation using tools like Microsoft Visio and PowerPoint to communicate solutions, timelines, and costs Connect on-premises infrastructure with cloud technologies to enable hybrid solutions Required Skills & Qualifications: Bachelor s or Master s degree in Information Technology, Computer Science, or related field 8-12 years of experience in infrastructure architecture design, implementation, and support Minimum 5 years of experience as an infrastructure solutions architect in large enterprises Hands-on infrastructure engineering experience (5+ years) including data center design and migrations Strong expertise in virtualization platforms such as VMware and HCI technologies like Nutanix Deep knowledge of storage solutions including NetApp, EMC, and backup technologies like Rubrik and Zerto Experience managing Windows Servers and Active Directory environments Solid understanding of cloud technologies and automation tools Proficiency in creating detailed technical documentation and architecture diagrams Excellent communication, presentation, and problem-solving skills Lead impactful infrastructure transformation projects in a dynamic enterprise environment Collaborate with global teams and advance your skills in cloud and data center technologies Work on cutting-edge infrastructure solutions supporting business continuity and disaster recovery Qualification : Bachelors or Masters degree in Information Technology, Computer Science, or related field
Staff Engineer - Core Infrastructure
Eightfold
Staff Engineer - Core Infrastructure Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re transforming the future of work by leveraging artificial intelligence to connect individuals with career opportunities based on their skills and potential, not just their network. Our Talent Intelligence Platform powers a more diverse, inclusive workforce by helping organizations plan, hire, develop, and retain top talent. With $410M+ in funding and a $2B+ valuation, we are revolutionizing how the world thinks about skills, potential, and careers. If you re passionate about cutting-edge technology, infrastructure, and creating scalable solutions that impact the world, we want you to join us. The Opportunity We re looking for a Staff Engineer to join our Core Infrastructure Team and help scale the backbone of Eightfold s platform. This high-impact role will involve designing, building, and optimizing foundational systems that power everything from search and machine learning infrastructure to developer platforms and observability tools. You will drive system design across our stack and mentor engineering teams to build scalable, resilient systems that enable Eightfold to grow and deliver AI-powered solutions for our customers. What You ll Own & Drive Architect & Scale Core Systems: Design and build scalable infrastructure systems that support Eightfold s AI-driven products, including search, compute, storage, and machine learning infrastructure. Cross-Functional Leadership: Lead cross-team technical initiatives, collaborating with Product, Security, Data, and Platform teams to align with company-wide goals. Hands-On Development: Contribute directly to system design, code reviews, and incident response, ensuring best practices are followed. Mentorship & Leadership: Guide and mentor engineers to help them grow into future leaders, fostering a culture of technical excellence across teams. Advocate for Engineering Excellence: Champion best practices across areas such as cloud architecture, CI/CD, security, and observability. Solve Complex Infrastructure Challenges: Tackle problems around reliability, scalability, and infrastructure performance, ensuring the systems are robust and perform well at scale. Bring Emerging Tech to Life: Stay on top of the latest trends and technologies, incorporating new scalable design patterns into our architecture. What You Bring 10+ years of experience in backend or infrastructure engineering, with a strong background in building distributed, cloud-native systems. Proven track record in designing and delivering reliable, high-scale services (ideally in AWS, GCP, or Azure environments). Expertise in Infrastructure Technologies: Deep knowledge of containerization, orchestration (Kubernetes), and infrastructure-as-code. Experience with one or more of the following: search infrastructure, ML/AI infrastructure, databases/data warehouses, developer tooling, or platform security. Leadership Experience: A passion for mentoring and guiding engineers, influencing teams and peers, and driving excellence across projects. Strong communication skills, able to translate complex technical challenges into strategic business impact. (Bonus) Experience with SRE principles, cloud security, and compliance for enterprise/government environments. Our Engineering Culture At Eightfold, we believe in ownership over tasks. You won t just be given directions; you ll be trusted to take responsibility and make a measurable impact. We have a growth mindset and continuously improve in all aspects of our work. Collaboration, transparency, and speed are core to everything we do. You ll work in a dynamic, supportive environment where your work directly influences the success of the company and its mission. Meaningful Work: Help shape the future of work by building products that impact careers and businesses globally. Growth Opportunities: Be part of a rapidly scaling company where your contributions are highly valued. Competitive Compensation: Attractive salary, equity, and comprehensive benefits package (including medical, vision, and dental coverage). Hybrid Work Model: Work from our Bangalore office twice a week, with flexibility for remote work. Inclusive Culture: We are committed to fostering a diverse and inclusive work environment where everyone feels valued. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you re a hands-on, innovative engineer with a passion for building scalable systems and tackling infrastructure challenges, we want to hear from you.
Engineering Leader - Machine Learning
Eightfold
Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics
Azure Infrastructure Architect
Mathco (themathcompany)
Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).
Senior Systems Software Engineer
Cloud Software Group
Job Title: Senior Systems Software Engineer Location: Bengaluru, Karnataka, India About Cloud Software Group: Cloud Software Group combines the capabilities of both Citrix and TIBCO, creating one of the world s largest cloud software providers, serving more than 100 million users globally. When you join Cloud Software Group, you ll be making a difference for real people who rely on our suite of cloud-based solutions to get their work done from anywhere. At Cloud Software Group, we value diverse lived experiences, varied perspectives, and the courage to take risks. Our teams are encouraged to dream big, innovate, and build the future of work. We are on the brink of a massive growth leap, and we need your expertise to make it happen. About This Team: Citrix, the recognized leader in VDI, Desktop-as-a-Service, and application delivery solutions, empowers enterprises of all sizes and industries to enable secure hybrid and remote working environments. With Citrix, businesses can provide employees with secure access to desktops, applications, and SaaS apps, ensuring high-performance user experiences, zero trust security, and operational cost efficiency whether customers are using cloud, on-premises, or hybrid deployments. Joining our team means the opportunity to develop cutting-edge solutions that help 100 million people worldwide securely access their digital workspaces. Key Responsibilities: Secure Access Development: You will work on a team focused on delivering secure access to Private Web Apps and SaaS apps using our ZTNA (Zero Trust Network Access) platform. Architecture Definition: Collaborate with stakeholders like Product Management and Customer Experience to define the architecture for system components. Feature Implementation: Lead the design and implementation of complex features that enhance security and scalability. Agile Development: Embrace agile development methodologies, including SAFE and SCRUM, to deliver high-quality software solutions. Code Testing: Unit-test your code for robustness, ensuring it handles edge cases, usability issues, and overall reliability. Continuous Learning: Engage in continuous learning to develop your technical expertise and stay ahead of industry trends and emerging technologies. Skills, Experience & Qualifications: Experience: Minimum of 5+ years of hands-on software development experience. Passionate about writing high-quality, scalable code and following design patterns. Comfortable conducting code/design reviews and providing constructive feedback. Technical Expertise: Proven experience in developing business-critical applications. Strong proficiency in object-oriented programming and hands-on experience with C++ for building desktop applications. Expertise in Windows, Mac, and Linux internals and debugging. Experience in Multi-Threaded Programming and crash dump analysis. Familiarity with standard debugging tools like WinDbg, GDB, and similar. Strong knowledge of operating systems, networking, data structures, and algorithms. Flexibility to work across different platforms and technologies (cloud, web, etc.) based on business needs. Experience in building applications on Windows/Linux/Mac. Knowledge of TypeScript is a plus. Education: Bachelor s or Master s degree in Engineering (Computer Science or a related field). Pay & Benefits: Competitive salary and annual bonus. Health Insurance, Life and Accidental Insurance. Tax-saving benefits like NPS (National Pension Scheme). Free transportation to and from the office. Complimentary food and fruit juices at the office campus. Paid leave benefits, including sick leave, casual leave, and paternal leave. About Us: Cloud Software Group is one of the world s largest cloud solution providers, supporting over 100 million users around the globe. By joining us, you ll be making a tangible difference for real people who rely on our suite of cloud products to get work done from anywhere. Our team values passion for technology, the courage to take risks, and empowering every team member to learn, grow, and build the future of work. Join us as we continue to evolve and grow in the cloud era. Qualification : Bachelors or Masters degree in Engineering (Computer Science or a related field).
Senior Ui/ux Engineer
Cloud Software Group
Job Title: Senior UI/UX Engineer Location: Bengaluru, Karnataka, India About Us: Cloud Software Group is one of the world's largest cloud solution providers, serving over 100 million users globally. We are at the forefront of cutting-edge technologies such as Secure Private Access and Zero Trust Network Access. At Cloud Software Group, we empower individuals, the original mobile device, to help shape and innovate the way work gets done from anywhere. Our team values passion for technology and courage to take risks. We are poised for significant growth, and now is the perfect time to bring your expertise to the cloud! About This Team: We are looking for a Senior Front End Engineer who will join a dynamic team of engineers dedicated to developing and maintaining high-performance web applications. The ideal candidate will be an experienced UI/UX Engineer with a deep passion for delivering seamless user experiences and is proficient in building applications using React and Angular frameworks. You'll be responsible for designing, implementing, and optimizing user interfaces, ensuring an excellent user experience, while embracing innovative technologies and development practices. Job Description/Responsibilities: Develop and Maintain Applications: Create cloud-based web applications using React and Angular frameworks, ensuring performance, scalability, and responsiveness. Collaborate with Teams: Work closely with cross-functional teams (including back-end engineers, product managers, and designers) to define, design, and implement new features. UI/UX Feasibility: Ensure the technical feasibility of UI/UX designs and optimize for maximum user experience. Code Quality: Write clean, maintainable, and efficient code, following industry standards and best practices. Code Reviews: Conduct code reviews to ensure code quality and provide constructive feedback to other team members. Troubleshoot & Debug: Investigate issues, debug problems, and implement improvements to enhance application performance and user experience. Stay Current with Trends: Stay up-to-date with the latest UI/UX trends, technologies, and tools. Design Collaboration: Contribute to design-first thinking, collaborating with designers to integrate different end-user personas into the design process. Agile Methodologies: Embrace Agile development methodologies (SCRUM, Kanban, etc.), ensuring fast and iterative development cycles. Required Experience/Skills: Proficient in React or Angular: At least 5 years of experience in front-end development with hands-on experience in React or Angular frameworks. Back-End Programming Knowledge: Familiarity with back-end programming languages such as GoLang, Java, or C# to work collaboratively with back-end teams. Testing & Automation: Experience with automated testing systems and libraries such as Jest, TestNG, or JUnit to ensure application reliability. Version Control: Good understanding of Git and CI/CD deployment pipelines for services running in Kubernetes environments. Cloud Environments: Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. Integration Skills: Ability to integrate multiple data sources and databases into a unified system. Communication & Teamwork: Strong communication skills and the ability to collaborate effectively with cross-functional teams. Educational Background: Typically requires a University Degree (or equivalent experience) and a minimum of 5 years of relevant experience. Alternatively, a Master s degree with 3 years of relevant experience. Innovative and Dynamic Environment: Work with a forward-thinking team that thrives on innovation and cutting-edge technologies. Make an Impact: Your work will directly shape the design and delivery of products used by millions globally. Growth Opportunities: Leverage ample opportunities for professional growth and skill development in a rapidly evolving tech space. Cutting-Edge Tools: Work with the latest development tools and technologies to create top-tier, cloud-based products. Empowering Culture: Be part of a team where everyone is empowered to learn, dream, and build the future of work. Equal Opportunity Employer: Cloud Software Group is an Equal Employment Opportunity (EEO) employer and complies with all applicable federal, state, and local laws prohibiting employment discrimination. We encourage all qualified applicants to apply, irrespective of age, race, gender, sexual orientation, gender identity, ethnicity, or other protected characteristics.
System Administrator
Aezion Technologies Pvt Ltd
Role: System Administrator Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Preferably Immediate Joiners Employment Type: Full-Time About Aezion: Aezion is a forward-thinking technology solutions provider, specializing in custom software development, AI-driven solutions, and enterprise digital transformation. As a trusted digital engineering partner in the USA, we are committed to exceeding client expectations by delivering results that transform clients into long-term partners. Our promise: We get it right or make it right. At Aezion, we believe that work is more than just a job it s a ministry that reflects our values. We are dedicated to delivering excellence throughout the entire project lifecycle, from design and development to hosting, maintenance, and support. Our Culture: Aezion is a mission-driven company with a purpose rooted in service: Love others like Christ. Guided by our core values Love, Dependability, Humility, Diversity, Speed, and Innovation we aim to provide exceptional service. Our 200+ dedicated employees work together to turn our customers into lifelong partners, fueling their success through a commitment to excellence. Role Overview: As a System Administrator at Aezion, you will be pivotal in designing, implementing, and maintaining our IT infrastructure. You will ensure the reliability, scalability, and security of systems, while also optimizing performance and minimizing downtime. This role requires you to collaborate with cross-functional teams to develop infrastructure solutions that align with the business s strategic goals. Key Responsibilities: Provide day-to-day technical support for desktops, laptops, and servers, ensuring minimal downtime for end-users. Troubleshoot and resolve hardware, software, and network-related issues across the organization. Install, configure, and maintain both Windows and Linux operating systems. Manage user accounts, permissions, and security settings within Active Directory and other identity management systems. Deploy, configure, and maintain enterprise applications, antivirus solutions, and other security tools. Support and troubleshoot peripheral devices such as printers, scanners, and mobile devices. Assist with network connectivity issues, including Wi-Fi, LAN, and VPN configurations. Perform regular system updates, patch management, and ensure compliance with security protocols. Document technical procedures, troubleshooting solutions, and best practices for internal use and knowledge sharing. Provide training and support to users regarding IT policies, security, and best practices. Required Skills and Experience: Proven experience with Windows & Linux desktop and server environments. Strong troubleshooting skills for hardware, software, and network issues. Familiarity with Active Directory, Group Policy, and user management processes. Knowledge of IT security best practices, including antivirus solutions and endpoint protection. Expertise in software installation, driver configurations, and system updates. Experience with remote desktop support tools. Basic understanding of networking concepts such as IP addressing, DNS, DHCP, and VPN. Proficiency in supporting Office 365, email clients, and enterprise-level applications. Excellent customer service and communication skills for providing end-user support. IT certifications such as CompTIA A+, Microsoft Certified (MCP, MCSA), or ITIL are highly desirable.
Senior Filesystem Developer
Mobinius
Job Title: Senior Filesystem Developer (NFS, SMB) Location: Bangalore Experience: 6+ Years Job Overview We are looking for a highly skilled Senior Filesystem Developer with extensive experience in developing, optimizing, and maintaining filesystem protocols such as NFS (Network File System) and SMB (Server Message Block). The ideal candidate will be responsible for creating efficient and robust distributed storage solutions while enhancing filesystem performance. You will be working on cutting-edge projects to build and improve the infrastructure of our storage systems. Key Responsibilities Filesystem Protocol Development: Develop and maintain filesystem protocols like NFS (v3/v4) and SMB/CIFS, ensuring high performance and scalability in distributed environments. Optimization & Performance Tuning: Continuously improve the efficiency and performance of filesystem protocols, analyzing bottlenecks and addressing performance issues. System-Level Integration: Collaborate with system-level teams to integrate and optimize filesystem components with kernel-level subsystems and user-space applications. Debugging & Troubleshooting: Utilize diagnostic tools (e.g., tcpdump, Wireshark, perf, ftrace) to identify and resolve network, protocol, and filesystem-related issues. Collaboration & Documentation: Work closely with cross-functional teams (e.g., networking, storage) to ensure seamless integration and implementation of storage solutions. Document processes, best practices, and optimizations. Required Skills & Qualifications Technical Expertise: Proven experience in filesystem development or protocol-level programming. Proficiency in C programming, with a solid understanding of kernel-level and user-space interactions. Deep knowledge of NFS (v3/v4) and SMB/CIFS protocols, including their implementation and behaviors. System-Level Knowledge: Strong experience with kernel-level filesystems and the Virtual File System (VFS) layer. Familiarity with distributed storage systems and clustered filesystem architectures. Networking & Protocols: Solid understanding of network protocols such as TCP/IP, RPC, and DNS, particularly as they relate to file-sharing systems. Experience in debugging network and protocol-level issues in a distributed environment. Debugging & Troubleshooting: Expertise with diagnostic tools such as tcpdump, Wireshark, perf, and ftrace. Strong analytical and problem-solving skills to identify and resolve bugs and performance bottlenecks in filesystem protocols. Preferred Skills Distributed & Parallel Filesystems: Experience working with distributed and parallel filesystems, ensuring high availability and fault tolerance in storage systems. Cloud-Based Storage Solutions: Familiarity with cloud-based file storage solutions (e.g., object storage systems, cloud NAS/SAN). Security: Knowledge of encryption and security standards related to file storage and secure file sharing. This role presents an exciting opportunity to work with cutting-edge technology and make significant contributions to the development of high-performance, distributed filesystem solutions. You will be part of a dynamic team focused on pushing the boundaries of storage systems while solving complex problems.
Senior Networking Developer
Mobinius
Job Title: Senior Networking Developer (System/Protocol Level) Location: Bangalore Experience: 6+ Years Job Overview We are seeking an experienced Senior Networking Developer with deep expertise in developing, optimizing, and troubleshooting high-performance networking systems and protocol stacks. In this role, you will be responsible for designing, implementing, and maintaining network solutions at both the system and protocol levels, focusing on high efficiency and performance in modern networking environments. Key Responsibilities Networking Protocol & System Development: Design and implement networking protocols at the system level, ensuring efficient, high-performance networking solutions. Protocol Stack Development: Work with L2/L3 protocols (Ethernet, ARP, IP, ICMP) and L4 protocols (TCP, UDP), enhancing their implementation and performance. Advanced Networking: Leverage your knowledge of advanced networking concepts such as Quality of Service (QoS), load balancing, and multicast to improve network performance and scalability. Linux Networking Subsystems: Contribute to the optimization and development of Linux networking subsystems like netfilter, iptables, and eBPF. Kernel-Level Development: Work on kernel-level networking stack optimization, focusing on high-performance and low-latency solutions. Troubleshooting & Debugging: Use network diagnostic tools (Wireshark, tcpdump, strace, gdb) to troubleshoot and resolve issues at all OSI layers, ensuring network reliability and performance. Collaboration: Collaborate with cross-functional teams to address complex networking challenges and implement solutions that meet business and technical objectives. Required Skills & Qualifications Technical Expertise: Strong experience in networking protocol or system-level development. Proficiency in C or C++ for low-level systems programming and optimization. In-depth knowledge of networking protocols, including L2/L3 (Ethernet, ARP, IP, ICMP) and L4 (TCP, UDP). Familiarity with advanced networking concepts such as QoS, load balancing, and multicast. System-Level Knowledge: Experience with Linux networking subsystems, such as netfilter, iptables, and eBPF. Hands-on experience in kernel-level networking stack development and optimization. Debugging & Analysis: Expertise with network diagnostics tools like Wireshark, tcpdump, strace, and gdb. Strong troubleshooting skills at all OSI layers. Preferred Skills High-Performance Networking: Experience with high-performance networking technologies to enhance scalability and network throughput. Programmable Network Devices: Experience working with programmable network devices and integrating them into modern network architectures. SDN (Software-Defined Networking): Familiarity with SDN controllers and protocols like OpenFlow, and their integration in modern networking solutions. As a Senior Networking Developer, you will be at the heart of building cutting-edge networking solutions, contributing to high-performance network infrastructures. This role offers the opportunity to work with the latest networking technologies in a dynamic and collaborative environment. If you're passionate about networking and system-level programming, we encourage you to apply.
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