Job description Job Summary: We are looking for a skilled Sterling FTP Engineer to manage, support, and enhance IBM Sterling File Gateway and Secure File Transfer (SFTP/FTPS) environments. The ideal candidate will have hands-on experience with Sterling B2B Integrator, strong troubleshooting skills, and a solid understanding of secure file transfer protocols and enterprise integration patterns. Key Responsibilities: Design, configure, and manage IBM Sterling File Gateway and B2B Integrator environments. Support and maintain file transfer workflows, partner configurations, and secure file exchange protocols (SFTP, FTPS, AS2, etc.). Monitor file transfer jobs and proactively resolve transmission failures or performance issues. Collaborate with internal and external stakeholders to onboard trading partners and define integration requirements. Develop and maintain system documentation, configurations, and standard operating procedures. Troubleshoot and resolve issues related to file transfers, connectivity, encryption, and security. Perform system upgrades, patching, and routine maintenance of Sterling platforms. Ensure compliance with data security and regulatory requirements during file transfers. Provide 24x7 support for critical file transfer operations (on-call rotation may be required). Work closely with infrastructure, network, and security teams to maintain optimal system performance. Requirements: 5+ years of experience with IBM Sterling File Gateway and/or B2B Integrator. Strong knowledge of secure file transfer protocols (SFTP, FTPS, AS2, etc.). Experience with scripting languages (e.g., Shell, Python) for automation and monitoring. Familiarity with SSL certificates, PGP encryption, and key management. Experience with onboarding trading partners and configuring business processes. Good understanding of networking fundamentals, firewalls, and proxy configurations. Strong analytical, troubleshooting, and communication skills. Experience range: 5 to 8 years B.E./B.Tech/MCA /BSc (Computer Science) Role: System Administrator / Engineer Industry Type: IT Services & Consulting Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: IT Network Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceAutomationB2BFTPdata securityAnalyticalStandard operating proceduresKey managementSSLPython

Job description Vectra is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Role Overview Were looking for a Consulting Engineer to join our Professional Services team. Based in Bangalore, India this hybrid role blends remote flexibility with collaboration in our office. You ll be instrumental in delivering onboarding and deployment services for the Vectra AI Platform, ensuring customers quickly realize value from their investment. This role offers significant growth potential into advanced cybersecurity engagements, custom tool development, customer training, and more. This is a customer-facing, technical role that will suit someone with a strong foundational understanding of cybersecurity, networking, and Linux systems, eager to deepen their expertise through real-world deployments and client interaction. Key Responsibilities Deploy and configure Vectra AI products (Detect, Recall, Stream, Match, IDR/CDR) across on-prem, virtual, and cloud environments (AWS, Azure, GCP). Deliver structured implementation onboarding following Vectras proven methodology, including architectural design reviews, traffic validation, and triage tuning. Collaborate with customer teams to integrate Vectra into their security ecosystem (e.g., SIEM, SOAR, EDR) using built-in features or APIs. Assist with traffic flow validation and sensor data health assessments. Contribute to customer training and enablement by walking them through platform usage, key features, and operational workflows. Document technical deployments, implementation plans, and handover materials. Support issue resolution during onboarding; escalate complex issues to appropriate internal teams. Participate in internal knowledge sharing and continuous improvement of delivery practices. Desired Skills Qualifications Demonstrated passion for cybersecurity and delivering impactful outcomes for customers; genuinely motivated by helping organizations improve their security posture. Self-starter who thrives in a hybrid work environment; proactively seeks growth opportunities and is driven by both personal career development and customer success. Bachelor s degree in a relevant technical field (e.g., CS, IT, Cybersecurity) or equivalent practical experience. 4-6 years of experience in cybersecurity, systems engineering, or technical consulting. Hands-on experience with: Linux systems administration. Networking concepts (TCP/IP, subnets, routing, firewalls). Cybersecurity tools and practices (EDR, SIEM, identity systems like AD, cloud security fundamentals). Exposure to scripting and automation (Python preferred). Comfortable working with API-based integrations. Strong communication and interpersonal skills; ability to simplify technical topics for varied audiences. Passion for learning and growth in the cybersecurity space. Ability to travel up to 25% if needed. Preferred (Nice to Have) Familiarity with Vectra AI or similar NDR/CDR solutions. Experience with cloud environments (AWS, Azure, GCP). Experience delivering client workshops or training sessions. Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral emotional

Job description We are seeking an experienced and dynamic Senior Automation Engineer to join our End-to-End (E2E) Quality Assurance (QA) team. In this role, you will be responsible for leading test automation activities, creating and maintaining automation scripts, and ensuring the highest quality standards for the Amadeus product ecosystem. You will play a pivotal role in validating all components of our product suite, leveraging your expertise in test strategy, automation, and DevOps practices. The ideal candidate should be comfortable working in a collaborative environment, taking ownership of automation frameworks, and driving the success of our CI/CD pipeline, all while maintaining a focus on quality assurance. Key Responsibilities: Test Strategy & Planning: Participate in specification and architecture reviews, including customer specification reviews, providing valuable feedback on potential risks, impacts, and gaps. Define comprehensive test strategies and test plans, encompassing both functional and non-functional test cases, ensuring alignment with customer requirements and product specifications. Ensure compliance with CI/CD guidelines, Green IT standards, and industry best practices (SDL, STDL, ISTQB). Test Expertise & Execution: Design and write test cases and scripts tailored to product features, with an emphasis on quality and efficiency. Prepare test environments, manage test data, and execute test cases across different stages of product development. Perform detailed test execution and provide sign-off (go/no-go) for features based on clearly defined exit criteria. Continuously assess and optimize the test suite by adding, updating, or removing test cases based on product evolution, new features, and metrics such as stability and flaky tests. Investigate PTRs, validate fixes, and enrich test suites with new scenarios. Test Automation & Frameworks: Lead the creation, maintenance, and improvement of automation frameworks using Java, Selenium, Groovy, TypeScript, and Python. Conduct peer reviews of automated scripts to ensure adherence to defined quality standards and best practices. Collaborate with functional teams to understand and implement relevant test scenarios that align with business goals. Influence the functional teams to improve test coverage and ensure comprehensive test scenarios. Monitor daily automated campaigns, analyze results, identify defects, and collaborate with the development team to resolve issues. Defect Management: Open and manage defects for software or documentation issues, assigning appropriate severity levels and providing sufficient information for resolution. Review and validate defect fixes, providing a go/no-go decision for production deployments. Track defects through their lifecycle, ensuring proper resolution and closure. DevOps & Infrastructure Management: Maintain Linux infrastructure to ensure 24x7 service availability and optimal system performance. Troubleshoot and address system issues, continuously improving processes for stability and efficiency. Support migration to cloud environments, implementing solutions for RedHat Linux systems administration. Manage system upgrades, patches, and hotfixes across servers, workstations, and network hardware. Build and maintain operational tools for deployment, monitoring, and analysis of cloud infrastructure and systems. Maintain proficiency in Docker, Containers, and Kubernetes, provisioning and managing public cloud infrastructure defined as code. Implement and maintain CI/CD solutions across platforms and applications. Tools & Technologies: Selenium & Java, Geb & Spock (BDD Framework) with Groovy Playwright TypeScript Python Jenkins, CI/CD pipelines, Octane/ALM Postman, SOAP UI, Webservices Docker, Containers, Kubernetes RedHat Linux Systems Administration and Cloud Infrastructure Qualifications: Proven experience in automation engineering with expertise in Java, Selenium, Groovy, TypeScript, and Python. In-depth understanding of DevOps practices and CI/CD pipeline management. Solid experience in Linux systems administrat

Job description Technical skillsets Comprehensive understanding of BGP: Configure and troubleshoot in large global environments. Comprehensive understanding of routing concepts: Inter-VR routing, policy-based routing, routing protocols, route filtering, path selection, access-lists etc. Comprehensive understanding of switching concepts: VLANs, Layer 2, Mac-forwarding, vlan trunking, VRRP, Gratuitous ARP. Comprehensive understanding of firewall/security concepts: L2-L7, all versions of NAT, failover scenarios, zonal concepts, IPSec, L7 encryption concepts, URL filtering, DNS, security profiles and rules, proxying. Comprehensive understanding of Load Balancing concepts: Cloud LB and conventional LB and their differences in functionality. Good understanding of Public Cloud platforms: Preferably GCP; specifically Networking, Firewalling, IAM and how they relate to Cloud Native services (PSA, Cloud SQL, GCVE, Cloud Interconnects, BMS, FileStore, Netapp, etc). Good understanding of Infrastructure as Code (IAC) to provision resources: Must be able to customize and optimize the codebase to simplify deliveries. Good understanding of Linux administration: Using Linux to bridge technical gaps in Windows and understanding the tools available to troubleshoot network connectivity. Understanding of APIs: in order to expedite data collection and configuration to eliminate human error. Understanding of DevOps: how it can improve delivery and operation. Products Juniper: MX, SRX, QFX Palo Alto: Physical and virtual firewalls, Panorama. Google Cloud Platform Squid Proxy Tools Terraform Algosec or similar tool for traffic flow governance. Ansible M2VM (GCP migration tool) Azure DevOps pipelines Azure DevOps GIT Mandatory languages Python HCL (HashiCorp Configuration Language) YAML JSON Network Security, Router, Switches, Firewalls, Cloud Role: Cloud System Administration Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Infrastructure Services Education UG: Any Graduate PG: Any Postgraduate Key Skills NATNetworkingDNSNetwork securityJSONWindowsVLANSQLPythonFirewall

Job description Position: SoC Modeling Engineer (SI36FT RM 3227) ESSENTIAL DUTIES AND RESPONSIBILITIES: Development of C++/SystemC models for complex ASIC IPs, SOCs and Flash Memories. Create System Level Tests and/or Standalone Unit Tests and verify the models. Keen on schedule and quality of the deliverables. Timely support to the stakeholders enabling software bring-up. QUALIFICATIONS: B.E/B.Tech or M.E/M.Tech in Electronics, Computer Science or related streams. 2 - 10 years of relevant experience. REQUIRED SKILLS: Proficient in SystemC/TLM, C++, C. Hands-on experience in development of functional/approximately timed models using SystemC/C++. Hands-on experience in embedded system test development using C. Proven ability to troubleshoot and analyze complex problems. Excellent grasp of Digital Fundamentals. Ability to multi-task and meet deadlines. Should be a Fast learner and a team player. Good written and verbal communication skills. PREFERRED SKILLS: Understanding of Computer Architecture, SoC, CPU (ARC/ARM/RISC-V/etc.,), Bus Architectures, RTOS. Exposure to scripting languages like Python. Experience with Visual Studio programming environment Working Knowledge of Interface Protocols like PCIe, AXI, USB, UFS, NVMe, SD Role: Post Silicon Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills RTOSComputer scienceC++ASICUSBSOCPCIEVisual StudioIPSPython

Job description Position: Design Verification Engineer (SI70FT RM 3214) Basic qualifications Bachelor s/ Master s degree or higher in EEE/ECE 7+ years or more of practical semiconductor design verification including System Verilog, UVM, GLS, assertions and coverage driven verification. Experience using multiple verification platforms: UVM test bench, emulator, software environments Experience with industry standard IO interfaces like AMBA, CXL, USB, MIPI, PCIE, DDR etc. Experience defining verification methodologies Experience with test plan development, test bench infrastructure, developing tests and verifying the design Experience with writing directed/constrained-random tests Experience identifying bugs in architecture, functionality, and performance with strong overall debug skills Experience verifying at multiple levels of logic from SoCs to full system testing Experience with industry standard tools and scripting languages (Python) for automation Experience in SOC Architecture is a strong plus Experience with ARM/RISCV Experience with debugging system level issues Experience with industry standard IO interfaces like AMBA, USB, MIPI, PCIE etc. Job Category: Others Job Type: Full Time Job Location: Bangalore Experience: 7 Years Notice period: 0-30 days Role: Design Verification Engineer Industry Type: IT Services & Consulting Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: Hardware Education UG: Any Graduate PG: Any Postgraduate Key Skills Design verificationSystem testingAutomationSemiconductorUSBSOCSystem verilogPCIEUVMPython

Job description Role: Proven experience as an AI Developer or similar role. Develop and optimize deep learning models to improve operational efficiency. Design and implement various neural network architectures tailored to specific tasks. Process and visualize complex data to extract actionable insights. Enhance natural language processing capabilities to streamline communication and automation. Deploy AI solutions that integrate seamlessly with existing systems and workflows. Ensure AI security and compliance with industry standards. Provide technical leadership and mentorship to junior team members, fostering best practices and continuous learning Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to define AI solution objectives and deliver impactful results Qualifications .Requirements: BSc/BTech/BE degree in Computer Science, Engineering, Data Science, or a relevant field. 5+ years of experience in AI. Proficiency in Python and relevant AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain etc) Ability to incorporate AI models from the initial idea to execution. Proficiency in mathematical principles that underpins AI algorithms and theories. Specialized knowledge in generative AI (GenAI) and large language models (LLMs). Experience in selecting, enhancing and deploying deep learning models. Strong understanding of neural network architectures. Expertise in data processing and visualization. Adept in natural language processing and AI security. Applying expertise in neural network architectures, specifically for GenAI and LLM applications. Build and maintain robust data pipelines for large-scale data ingestion, preprocessing, feature engineering, and model training Concepts on RAG and Vector DB Role: Machine Learning Engineer Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer sciencedeep learningAutomationNetworkingdata scienceTechnical leadershipData processingNatural language processingOperationsPython

Job description The Opportunity Were looking for the Wavemakers of tomorrow. What Youll Do Will be responsible for verification of IP, Block, or Subsystem at Soc Level Generate appropriate documentation for verification Responsible for analyzing/debugging given blocks/tasks in verification Should be able to develop and own the verification environment, verification components developed You will report to Lead Engineer What Youll Need: 5+ years of experience with a Bachelors/ masters degree in the field of Electrical, Electronics, or computer engineering Should have a good understanding of verification flow, challenges, and requirements of functional verification Have worked on IP level or Block level or SoC level functional verification Experience with digital verification aspects such as constrained random verification, functional coverage, code coverage, assertions, methodology philosophy Expert in System Verilog, Verilog, and OVM/UVM verification methodology Have working experience on AMBA interface protocols (AXI, AHB, APB) Knowledge of Verilog/System Verilog, digital simulation, and debugging is a must Hands-on experience on working one or more of the following protocols is a must - UART, I2C, SPI, QSPI, I3C, eMMC, CAN, Hands-on experience working with one or more of the following protocols is desired - PCIe, USB, DDR, LPDDR, GBE, SATA Experience with Perl, Python or similar scripting languages will be helpful Ability to adapt learn, quickly and willingness to proactively take on responsibilities beyond the job description to accomplish team goals. We have a flexible work environment to support and help employees thrive in personal and professional capacities As part of our commitment to the well-being and satisfaction of our employees, we have designed a comprehensive benefits package that includes: Competitive Compensation Package Restricted Stock Units (RSUs) Provisions to pursue advanced education from Premium Institute, eLearning content providers Medical Insurance and a cohort of Wellness Benefits Educational Assistance Advance Loan Assistance Office lunch Snacks Facility Equal Employment Opportunity Statement Alphawave Semi is an equal opportunity employer, welcoming all applicants regardless of age, gender, race, disability, or other protected characteristics. We value diversity and provide accommodations during the recruitment process. Role: Design Verification Engineer Industry Type: Electronic Components / Semiconductors Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: Hardware Education UG: Any Graduate PG: Any Postgraduate Key Skills WirelessNetworkingSimulationUSBSOCDebuggingPerlSystem verilogMedical insurancePython

Job description About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures todays innovators stay Ahead of Whats Possible . Learn more at www.analog.com and on LinkedIn and Twitter (X) . Sr Engineer, Digital Design Job Description Design key digital blocks such as clocks, reset paths, memory controller, NVMs etc. in Verilog/ System Verilog with built-in configurability to allow Power/ Performance/ Area tradeoffs Develop strong understanding of ARM processor cores subsystems (M series associated infrastructure such as caches, interconnect fabric, DMA, MMU, Coresight Debug Trace, TZC) and their integration requirements Design for Test skills on SCAN, MBIST boundary scan, JTAG and ARM DAP interface and general functional DFT understanding. Experience of AFE based projects is an add on. Package Digital IP for seamless integration into design flow at different stages - RTL/ constraints/ CDC waivers, timing wavers, DFT DRCs and waivers, software programming sequence etc. Consolidate curate digital IP for SPI/ I2C/ UART/ JTAG and other slow serial interfaces peripherals ATPG vectors, MBIST and BSCAN post silicon debug support. Develop User Guides for RTL Integration, Synthesis, DFT, PnR, Programming Sequence, characterization etc. Minimum Qualifications Minimum B.E. / B.Tech degree in Electrical/Electronics/Computer science 4 - 8 years of digital logic design and hands-on RTL coding experience using Verilog and SystemVerilog Strong understanding of control path and data-path digital design concepts with an eye for realizing correct by construction solutions Experience with specifying Design Verification (DV) requirements such as test plans, coverage metrics, and evaluate DV quality so as to realize robust design quality Knowledge of Lint, CDC, formal equivalence, DFT concepts, power analysis Experience with developing timing constraints and ability to carry out logic synthesis and Static timing analysis Good interpersonal, teamwork and communication skills to logically effectively drive discussions with teams spread geographically Understanding of standard on-chip interfaces such as APB/AHB/AXI/ Stream protocols is a strong plus Knowledge of Processor/SoC architecture and/or DSP fundamentals is a strong plus Experience with end-to-end ASIC/ SoC product development productization is very desirable Experience in IP integration (memories, IO s, embedded processors, hard macros, Analog IP) Knowledge of Microelectronics concepts Scripting skills in Python, Tcl, C etc Ability to collaborate and work directly with the tool vendors to resolve tools bugs, as well as implement the required improvements Great communication and teamwork skills Role: Design Verification Engineer Industry Type: Consumer Electronics & Appliances Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: Hardware Education UG: Any Graduate PG: Any Postgraduate Key Skills ASICJTAGDFTSOCVerilogHealthcareSystem verilogMacrosSPIPython

Job description Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources. Job Overview: We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines. Key Responsibilities: Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources. Build and maintain efficient data pipelines to support real-time and batch data processing. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Optimize database performance and ensure data integrity and security. Troubleshoot and resolve data-related issues and provide support for data operations. Implement data quality checks and monitor data pipeline performance. Document technical solutions and processes for future reference. Required Skills and Qualifications: Bachelor's degree in Engineering, or a related field. 5-8 years of experience in data engineering or a related role. Strong proficiency in ETL tools and techniques. Experience with SQL and relational databases (e.g., MySQL, PostgreSQL). Familiarity with big data technologies Proficiency in programming languages such as Python, Java, or Scala. Knowledge of data warehousing concepts and tools Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning and data science principles. Experience with real-time data processing and streaming platforms (e.g., Kafka). Knowledge of data warehousing concepts and tools Role: Data Engineer Industry Type: NBFC (Micro Finance) Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.Tech/B.E. in Production/Industrial PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Python javadata sciencescalaPostgreSQLdata processingMySQLpower bimachine learningdata engineeringsql