69 Network Analysis Jobs

The role requires strategic thinking and technical expertise with a strong background in financial crime detection and prevention, particularly using advanced analytical methodologies. You will be responsible for designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and a good familiarity with compliance regulations in the financial sector. You will be expected to design, develop, and deploy models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions. Additionally, you will act as a single Point of Contact for assigned AML Transaction Monitoring Modeling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring that models are accurate, efficient, and scalable. Furthermore, you will support analytical processes to enhance Transaction Monitoring red flag monitoring and optimize cases for investigation through AI/ML models and analytical processes. You will also work on improving processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. As the role holder, you will be accountable for ensuring that all processes/models follow the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Key Responsibilities: - Conceptualize, design, support, and align relevant processes and controls to industry best practices, and address any compliance gaps. - Mentor and conduct training programs to bring new joiners and the team up to speed on new business requirements. - Provide endorsement for changes or remediation activities impacting AML Optimization models and engage with relevant stakeholders for deploying the changes to production. - Work on processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. - Work towards the collective objectives and scorecard of the business function published periodically in the form of job and performance objectives. Skills and Experience: - Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. - Promote and embed a culture of openness, trust, and risk awareness, where ethical, legal, regulatory, and policy-compliant conduct is the norm. - Apply Group and FCC policies and processes to manage risks effectively. - Engage with Business/Segment stakeholders to understand emerging risks and ensure they are suitably addressed through Monitoring coverage. - Attend relevant business/segment/product-related working group meetings and ensure tracking and remediation of surveillance and investigations related regulatory findings. Qualifications: - 8+ years of hands-on experience in Transaction Monitoring design and development, with at least 5 years focused on financial crime threat risk mitigation. - Strong background in deploying models within TM or compliance environment with a solid understanding of AML/CFT regulations. - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices for model integration.,

As a Sr. Software Engineer at Innefu Lab Pvt. Ltd., a Series A funded company specializing in Information Security & Data Analytics using cutting edge technologies like AI for predictive intelligence and Facial Biometrics, you will play a crucial role in our mission to deliver top-notch solutions to our 100+ clients in India. We are seeking a skilled QGIS Developer with over 4 years of experience to join our team. Your primary responsibility will be to leverage your strong expertise in QGIS software, plugins, tools, and libraries to enhance our geospatial data management, analysis, and visualization capabilities. Key Technical Requirements: - Proficiency in GIS software, particularly QGIS, and its various plugins. - In-depth knowledge of data management, analysis, and visualization techniques within QGIS. - Familiarity with scripting languages like Python, R, and SQL. - Experience working with database management systems such as PostgreSQL and MySQL. - Ability to create and manage geospatial databases, design data models, and implement robust solutions. - Understanding of geospatial data formats like shapefiles, geodatabases, and GeoJSON. - Strong grasp of cartographic principles to develop high-quality maps and visualizations. - Skilled in troubleshooting technical issues related to QGIS and related tools. - Exposure to web mapping technologies like OpenLayers, Leaflet, and Mapbox. - Excellent communication skills to convey technical concepts effectively to non-technical stakeholders. - Proficient in problem-solving and developing innovative solutions to complex technical challenges. - Experience with version control systems like Git and SVN. - Attention to detail to ensure data accuracy and completeness. Preferred Qualifications: - Knowledge of spatial analysis techniques such as network analysis, spatial interpolation, and geostatistics. - Certification in relevant areas like QGIS Certified Associate or Professional. - Hands-on experience with QGIS tools and GIS software like ArcGIS, GRASS, and PostGIS. - Familiarity with web mapping technologies, databases (PostgreSQL, MySQL, SQLite), and operating systems (Windows, Linux). Your role will also involve collaborating with cross-functional teams, managing projects independently or as part of a team, and showcasing your problem-solving abilities under tight deadlines. A background in Agile or Scrum methodologies is advantageous for this position. Additionally, we encourage you to present examples of your GIS and QGIS projects along with code samples in your portfolio to demonstrate your technical prowess and experience. If you are a dedicated QGIS Developer with a passion for geospatial technology and a desire to contribute to innovative solutions in the field of Information Security and Data Analytics, we welcome your application to join our dynamic team at Innefu Lab Pvt. Ltd. (Note: This job description is referenced from hirist.tech),

You are a dynamic and experienced Global Senior Communications Test Engineer responsible for leading 5G communications testing and capability-building efforts across international markets. Your role involves managing technical teams to develop local 5G communication test capabilities and coordinate field testing teams in various countries. You will lead a team of 710 engineers in India and 510 engineers in Indonesia to develop local 5G communication test capabilities. Additionally, you will mentor and coordinate field testing teams comprising Chinese and local overseas engineers in different countries. You will participate in 5G national communications capacity building across countries such as Thailand, the Philippines, Malaysia, Colombia, Poland, Australia, Greece, and more. Your responsibilities include conducting local communication surveys, network analysis, and field testing to ensure high-quality delivery. You will support third-party testing, network optimization, and delivery quality assurance in over 150 countries. Collaboration with global teams to resolve technical challenges and align with company standards is also a key aspect of your role. As a Global Senior Communications Test Engineer, you have the opportunity to engage in short-term international assignments or opt for permanent overseas roles. This will allow you to gain hands-on global exposure while experiencing diverse cultures and landscapes. To qualify for this position, you should hold a Bachelors or Masters degree in Telecommunications, Electronics, or related fields. Additionally, you should have a minimum of 5 years of experience in communications/network testing, preferably with 5G or mobile field testing. Strong leadership and cross-functional coordination skills are essential, and you should be willing to travel internationally or relocate based on project needs.,

As a Level 2 Network Engineer, you will provide Junior (Level 2) operations engineering expertise to a large, complex enterprise LAN and WAN client in a predominantly Cisco networking environment. Your responsibilities will include reviewing scripting, planning, and executing network Change Management processes, as well as investigating network issues/incidents and resolving them within stated SLA parameters. You will collaborate with Incident, Problem, and Change Management teams, providing Root Cause Analysis (RCA) to the operations team and customers upon request. Your role will also involve offering technical leadership for Incidents and Changes, working on network drawings using Visio, and collaborating with other application teams. A good understanding of BGP/EIRGP routing, NAT/PAT, VPN, and firewall technologies will be essential for this position. To qualify for this role, you should have a 4-year Bachelor's Degree or equivalent experience in Computer Science, Information Systems, or Engineering. Alternatively, three years of College or Technical School resulting in an Associate's Degree or equivalent will be considered. Required certifications include CCNA Enterprise Route/Switch, with additional desirable certifications such as Cisco SDWAN Specialization and Palo Alto Certification. Ideal candidates will have previous network operations experience and expertise in predominantly Cisco LAN and WAN environments within large, complex enterprise settings. Experience in implementing/managing WAN circuits (T1, Ethernet, MPLS, etc.), utilizing network analysis tools, and managing EIGRP/BGP routing protocols will be crucial. Proficiency in VLAN technology in an enterprise environment is also desirable. Key skills required for this role include clear communication, time management, self-management, independent work skills, and presentation skills. In-depth operational knowledge of Routing Protocols like EIGRP & BGP is essential, with exposure to platforms such as SDWAN, F5 LTM/GTM, and Cisco ASA/Palo Alto with virtual firewall contexts. If you are a proactive and technically adept individual with a passion for complex networking environments, this role offers an exciting opportunity to contribute your expertise and leadership skills to a dynamic team.,

The Security Operations Centre (SOC) department is seeking a candidate with strong oral and written communication skills. Experience in managing global customers, particularly in the US and Canada, is an advantage. The ideal candidate should be proficient in Incident Management and Response, with in-depth knowledge of security concepts such as cyber-attacks, threat vectors, risk management, and incident management. Strong familiarity with EDR and XDR is preferred. A strong understanding of various security solutions including EDR, XDR, NDR, EPP, Web Security, Firewalls, Email Security, O365, SIEM, SSL, Packet Analysis, HIPS/NIPS, Network Monitoring tools, Remedy, Service Now Ticketing Toolset Web Security, AV, UBEA, and Advanced SOC is required. The role involves working in a 24x7 Security Operation Centre (SOC) environment and includes creating, performing, reviewing, and delivering Incident Response playbooks and procedures. The responsibilities also include providing analysis and trending of security log data, threat and vulnerability analysis, security advisory services, and experience with Security Information Event Management (SIEM) tools. Hands-on experience in creating advanced correlation rules and conducting Vulnerability Assessments is a must. The candidate should have experience in threat hunting and forensic investigations. Other tasks and responsibilities may be assigned, including creating and fine-tuning rules, playbooks, etc. Strong knowledge of various operating systems such as Windows, Linux, and Unix, as well as TCP/IP Protocols, network analysis, and common Internet protocols and applications, is essential. Effective communication skills are required for contributing to the development and delivery of various written and visual documents for diverse audiences. Location: Ahmedabad Experience: 3-6 yrs Essential Skills/Certifications: GCFA, GCFE, CISP, CISSP, CCNP, CCIE Security, CEH; CSA If you meet the requirements and possess the essential skills/certifications, please send your CV to careers@eventussecurity.com.,

As a Data Engineer at CLOUDSUFI, a Google Cloud Premier Partner, you will be responsible for designing, developing, and deploying graph database solutions using Neo4j for economic data analysis and modeling. Your expertise in graph database architecture, data pipeline development, and production system deployment will play a crucial role in this position. Your key responsibilities will include designing and implementing Neo4j graph database schemas for complex economic datasets, developing efficient graph data models, creating and optimizing Cypher queries, building graph-based data pipelines for real-time and batch processing, architecting scalable data ingestion frameworks, developing ETL/ELT processes, implementing data validation and monitoring systems, and building APIs and services for graph data access and manipulation. In addition, you will be involved in deploying and maintaining Neo4j clusters in production environments, implementing backup and disaster recovery solutions, monitoring database performance, optimizing queries, managing capacity planning, and establishing CI/CD pipelines for graph database deployments. You will also collaborate with economists and analysts to translate business requirements into graph solutions. To be successful in this role, you should have 5-10 years of experience, with a background in BTech / BE / MCA / MSc Computer Science. You should have expertise in Neo4j database development, graph modeling, Cypher Query Language, programming languages such as Python, Java, or Scala, data pipeline tools like Apache Kafka and Apache Spark, and cloud platforms like AWS, GCP, or Azure with containerization. Experience with graph database administration, performance tuning, distributed systems, database clustering, data warehousing concepts, and dimensional modeling will be beneficial. Knowledge of financial datasets, market data, economic indicators, data governance, and compliance in financial services is also desired. Preferred qualifications include Neo4j Certification, a Master's degree in Computer Science, Economics, or a related field, 5+ years of industry experience in financial services or economic research, and additional skills in machine learning on graphs, network analysis, and time-series analysis. You will work in a technical environment that includes Neo4j Enterprise Edition with APOC procedures, Apache Kafka, Apache Spark, Docker, Kubernetes, Git, Jenkins/GitLab CI, and monitoring tools like Prometheus, Grafana, and ELK stack. Your application should include a portfolio demonstrating Neo4j graph database projects, examples of production graph systems you've built, and experience with economic or financial data modeling.,

You must possess a BSc or higher in Electrical Engineering with at least 15 years of professional experience. Specialization in electrical networks, especially in network analysis, grid interconnection studies, and power demand forecast expertise is required, with a minimum of 10 years of experience in electrical systems engineering. A minimum of 5 years of experience and in-depth knowledge in network analysis and grid interconnection studies is essential. Experience in developing countries and previous involvement in grid interconnection study projects are also necessary. You should have worked in a similar position for at least two project studies in the last five years. Additionally, experience in transmission line projects in Ethiopia is a must for this role.,

Job Purpose Adhere to call cycle plan, achieve sales and collection targets by maintaining relationship with channel partners in an assigned area (Territory) and effective communication of sales promotion activities to achieve set objectives. Job Context & Major Challenges UltraTech Cement is the largest cement manufacturer in India with an installed capacity of about 68 million tonnes. The company has production facilities in 17 locations spread across the country and has plans to grow further than acquisition and green field expansion. The Ultratech brand occupies a premium position with a market capitalization of Rs. 81438 crores. The Indian cement industry has a capacity of 409 million tonnes and a supply demand gap putting pressure of prices due to excess capacity. The market has strong regional Indian and MNC players in each Zone and has strong brand competition. The challenge will be to create compelling differentiation in Cement sales for achieving premium in pricing & exceeding Customers expectations through service excellence. Align & adopt a "One UltraTech" approach and leverage on strong relationship with channel partners to provide end to end construction solutions and stay ahead of the competition. Key Result Areas KRA (Accountabilities) (Max 1325 Characters) Supporting Actions (Max 1325 Characters) KRA1 Branding and Improving Brand Equity (R) Identify the locations for the hoarding placement, wall paintings etc. and timely distribution of the sales promotion material (R) Organize promotional activity as per the plan for Territory in order to drive positive brand equity index (R, A) Create awareness of value added services like Mobile Lab, Information Centre, Toll Free Number etc for dealers, retailers and end customers KRA2 Business Delivery R) Ensure easy availability and replenishment of allied products as per agreed SLAs, communication of pricing, discounts of allied products to UBS outlets (R) Ensure the achievement of the sales target for the Depot (including UBS allied products) at agreed price positions (R) Ensure timely collection of payments for keeping receivables under control / follow-up for timely collection of payment against sold material in the assigned area (R) Explore the possible locations for new inventory points within the assigned territory in line with i2 network analysis (R) Follow up with Zonal coordinator-UBS for setting up of UBS of identified counters KRA3 Business Development (R) Work towards increasing the business and profitability of channel partners by helping them in increasing sales from existing customers and in acquisition of more customers KRA4 Channel Management (R) Collect the security deposit at the time of appointment dealer and enhance it according to the norms of the company and exposure in the market place R) Ensure that UBS outlets deal in all category of products (R) Identify channel partners for prospective UBS format and develop UBS stores (R) Monitor dealers / customers credit worthiness and alert management in case of any adverse developments (R, A) Adhere to call cycle plan, collect the orders & payments and update SFA on real time basis (R, A) Execute the retailer meets, counter meets for sub dealers in assigned area (R, A) Track retailer level sales, stock replenishment through continuous monitoring KRA5 Competition Tracking (R) Obtain first hand information about competitors at retailer level on Cemtrak parameters (NR, DOD, CS, ACV, MS) KRA6 Customer Service and Responsiveness (R) Provide effective customer care service and attend the product and service related queries and resolve grievances as per SLAs to ensure customer loyalty and satisfaction KRA7 Influencer Management (R, A) Organize sales promotion activity at all UBS outlets and promote UBS outlets through technical / sales meet KRA8 Sales and Marketing Plan (R) Derive sales plan with dealer and retailer, product-wise, month wise to ensure desired counter share and market share achievement

Job Summary We are seeking a Systems Engineer with 1 to 4 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in Cisco Catalyst SDWAN Azure Networking Services and other networking technologies. This role requires a strong background in food services domain focusing on optimizing and managing network systems to enhance operational efficiency. Responsibilities Design and implement network solutions using Cisco Catalyst SDWAN to ensure seamless connectivity across the organization. Manage and optimize Azure Networking Services to support the companys cloud infrastructure needs. Configure and maintain Cisco ISE to enhance network security and compliance. Utilize Terraform and Ansible for efficient network automation and infrastructure management. Oversee AWS Networking to ensure reliable and secure cloud services. Implement and manage wireless networking solutions using Cisco technologies to support mobile and remote access. Configure and troubleshoot Cisco Switching & Routing to maintain network stability and performance. Leverage Google Cloud Networking to support multi-cloud strategies and enhance service delivery. Use WireShark for network analysis and troubleshooting to identify and resolve connectivity issues. Implement Fortinet SDWAN solutions to optimize network traffic and improve application performance. Collaborate with cross-functional teams to align network strategies with business objectives in the food services domain. Provide technical support and guidance to ensure network systems meet operational requirements. Monitor network performance and implement improvements to enhance efficiency and reliability. Qualifications Possess strong technical skills in Cisco Catalyst SDWAN Azure Networking Services and Cisco ISE. Demonstrate proficiency in Terraform and Ansible for network automation. Have experience with AWS Networking and Wireless Networking using Cisco. Show expertise in Switching & Routing Cisco and Google Cloud Networking. Be skilled in using WireShark for network analysis. Have knowledge of Fortinet SDWAN solutions. Exhibit understanding of the food services domain and its specific networking needs.

Dear Candidate, We are looking for a Computer Network Analyst to monitor, analyze, and improve the performance and security of organizational networks. Key Responsibilities: Monitor network activity and troubleshoot anomalies. Analyze network traffic for optimization and risk assessment. Recommend upgrades to improve performance and reliability. Support network security initiatives (e.g., intrusion detection). Document network architecture and incident reports. Required Skills & Qualifications: Solid understanding of network protocols (TCP/IP, BGP, OSPF). Experience with analysis tools (Wireshark, Nmap, SolarWinds). Knowledge of firewalls, VPNs, IDS/IPS systems. Familiarity with scripting for automation (Python, Bash). Relevant certifications (e.g., CCNA, CompTIA Security+). Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Retail Analyst Management Level:11 - Analyst Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Ability to work with large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Proficiency in supervised and unsupervised learning algorithms Proficiency in Python, with experience using libraries such as pandas, scikit-learn, and NumPy. Exposure to deep learning frameworks like TensorFlow, PyTorch, or Keras. Basic understanding of LLMs, NLP, and prompt engineering. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data. Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre-trained Transformers (GPT) Experience with Data Visualization Tools Job Summary : We are looking for a highly motivated AI / GenAI Retail Analyst to join our data science and AI team. In this role, you will play a key part in building and implementing AI-driven solutions that enhance customer experience, streamline operations, and drive business outcomes in the retail sector. You'll work closely with cross-functional teams to extract insights from data and support the development of generative AI applications. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector. Focus on the creation of AI models that can help in wide range of use cases across customer lifecycle, personalized customer experiences, optimize pricing, and product assortment. Analyze and preprocess large datasets from various sources (sales data, customer data, inventory data) to build effective AI models. Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments. Build dashboards, visualizations, and reports to communicate findings, model performance, and business impact to stakeholders. Professional & Technical Skills : Expertise in machine learning, natural language processing (NLP), and generative AI models. Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. Knowledge of AI ethics and responsible AI practices. Additional Information: About Our Company | AccentureQualification Experience: Minimum 1-2 year(s) of relevant experience is required Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field

Management Level: Ind & Func AI Decision Science Consultant Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 3-6 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 3-6 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 3-6 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

As a Network Engineer, you will be responsible for designing, implementing, and managing LAN/WAN infrastructure using Cisco routers and switches. Your role will involve configuring and troubleshooting routing protocols such as OSPF, EIGRP, and BGP, as well as VLANs. It will be essential to maintain network performance through regular monitoring and analysis, and implement network security measures including firewalls, VPNs, and ACLs. In this position, you will provide Level 2/3 support, troubleshoot network outages, and address performance issues effectively. You will also oversee the management of Cisco wireless infrastructure and network hardware lifecycle. Collaboration with IT and support teams for project implementation and changes will be a key aspect of your responsibilities. Ensuring that documentation is up to date for all network diagrams, configurations, and processes will also be part of your duties. To qualify for this role, you should have a Bachelor's degree in Computer Science, IT, or a related field. Possessing a Cisco Certification such as CCNA is mandatory, while CCNP/CCIE certification is preferred. The ideal candidate will have at least 2 years of experience in a network engineering role and a strong understanding of Cisco IOS, network protocols, and security practices. Familiarity with monitoring tools like SolarWinds and PRTG will be advantageous. Good communication skills and the ability to work both independently and as part of a team are also required. This is a full-time position with benefits that include health insurance and a provident fund. The work schedule is during day shifts with the potential for performance bonuses. The job requires in-person work at the specified location.,

The Impact you will have in this role: Senior Platform Engineer (Senior - Network Observability Engineer) in Network Observability will be responsible for Administering and Leading the DTCC Network Infrastructure Monitoring tools. This role will partner with the Network Observability Engineering team to ensure that ensure monitoring and instrumentation are properly configured in all critical locations of the Network. The role will work closely with DTCC Network Operations and Network Engineering teams to understand troubleshooting challenges and translate the challenges into action plans using Topology analysis and visualization using a suite of tools at DTCC. Your Primary Responsibilities: Data collection: Gather information from network devices like routers, switches, firewalls, servers, and endpoints. This data includes network traffic, log files, SNMP MIB file maintenance and device statistics. Data analysis: Use advanced analytics to process and analyze the data to identify patterns, anomalies, and trends. Documentation: Create documentation, schematics, templates and presentations for operational use, management and collaborators.Ensure Disaster Recover Steps and High Availability principles are maintained at all times. Troubleshooting: Use the data to identify root causes of issues and fix complex connectivity issues. Visualization: Create custom dashboards and visual representations to gain insights from the data. Collaboration: with Engineering and Operations teams to ensure end to end support for design, implementation, and operations. Solutions should support end to end success. Improving User Experiences: Observability engineers identify areas for improvement in user experiences by analyzing telemetry data, optimizing performance, and reducing bottlenecks Qualifications: Minimum of 6 years of related experience Bachelor's degree preferred or equivalent experience Talents Needed for Success: Fosters a culture where integrity and transparency are encouraged. Stays ahead of on changes in their own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date. Invests effort to individually coach others. Builds collaborative teams across the organization. Communicates openly keeping everyone across the organization informed. Specific Skills & Technologies Participate in Network Engineering System Design and Implementation Projects to ensure observability principles are applied to every project. Provide insights and guidance on telemetry requirements, instrumentation strategies, and best practices to ensure observability is built into the system from the ground up. Partner with Observability Engineers to develop dashboards and routines to constantly provide an overview of the health of the DTCC network ensuring business readiness at all times. Solid understanding in technologies like: Splunk, NetBrain, OpenText tools suite, SolarWinds, Event Management Tools, syslog, Network Analysis Tools, Gigamon Packet Directors, SNMP, and Packet Capture tools. Advance knowledge of networking monitoring protocols, such as: SNMP v3, netflow, etc. Extensive experience managing an NPM/APM tool like NNMi, SolarWinds, etc is required. Ability to supervise and analyze performance of Network systems using a diverse set of Network Capabilities and a variety of tools. Strong Network Troubleshooting skills in a Network Campus & Data Center environment. Ability to help solve sophisticated challenges using modern Network Monitoring, Observability, alerting, reporting, dashboarding technologies.

The Impact you will have in this role: Senior Platform Engineer (Senior - Network Observability Engineer) in Network Observability will be responsible for Administering and Leading the DTCC Network Infrastructure Monitoring tools. This role will partner with the Network Observability Engineering team to ensure that ensure monitoring and instrumentation are properly configured in all critical locations of the Network. The role will work closely with DTCC Network Operations and Network Engineering teams to understand troubleshooting challenges and translate the challenges into action plans using Topology analysis and visualization using a suite of tools at DTCC. Your Primary Responsibilities: Data collection: Gather information from network devices like routers, switches, firewalls, servers, and endpoints. This data includes network traffic, log files, SNMP MIB file maintenance and device statistics. Data analysis: Use advanced analytics to process and analyze the data to identify patterns, anomalies, and trends. Documentation: Create documentation, schematics, templates and presentations for operational use, management and collaborators.Ensure Disaster Recover Steps and High Availability principles are maintained at all times. Troubleshooting: Use the data to identify root causes of issues and fix complex connectivity issues. Visualization: Create custom dashboards and visual representations to gain insights from the data. Collaboration: with Engineering and Operations teams to ensure end to end support for design, implementation, and operations. Solutions should support end to end success. Improving User Experiences: Observability engineers identify areas for improvement in user experiences by analyzing telemetry data, optimizing performance, and reducing bottlenecks Qualifications: Minimum of 6 years of related experience Bachelor's degree preferred or equivalent experience Talents Needed for Success: Fosters a culture where integrity and transparency are encouraged. Stays ahead of on changes in their own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date. Invests effort to individually coach others. Builds collaborative teams across the organization. Communicates openly keeping everyone across the organization informed. Specific Skills & Technologies Participate in Network Engineering System Design and Implementation Projects to ensure observability principles are applied to every project. Provide insights and guidance on telemetry requirements, instrumentation strategies, and best practices to ensure observability is built into the system from the ground up. Partner with Observability Engineers to develop dashboards and routines to constantly provide an overview of the health of the DTCC network ensuring business readiness at all times. Solid understanding in technologies like: Splunk, NetBrain, OpenText tools suite, SolarWinds, Event Management Tools, syslog, Network Analysis Tools, Gigamon Packet Directors, SNMP, and Packet Capture tools. Advance knowledge of networking monitoring protocols, such as: SNMP v3, netflow, etc. Extensive experience managing an NPM/APM tool like NNMi, SolarWinds, etc is required. Ability to supervise and analyze performance of Network systems using a diverse set of Network Capabilities and a variety of tools. Strong Network Troubleshooting skills in a Network Campus & Data Center environment. Ability to help solve sophisticated challenges using modern Network Monitoring, Observability, alerting, reporting, dashboarding technologies.

Location: Noida, India Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure. As an AWS Cloud Ops Engineer for the Cloud Center of Excellence team located in Singapore, you will be driving improvements across a global organization to ensure internal customers receive world class support on AWS Thales public cloud infrastructure. A week in the life of an AWS Ops Engineer: Supporting the company-defined AWS cloud strategy. Enjoying solving problems, working with customers, and have technical backgrounds from a variety of different fields Collaborating and working very closely with Site Reliability Engineering and Security teams. Providing general guidance on questions from internal customers to troubleshooting and reproducing complex performance issues Understanding of infrastructure monitoring, logging, alerting release and configuration management Actively participating in change and incident management processes and coordinating several stakeholders. Ensuring day to day world class support to internal engineering and services teams. Analyzing and solving operational problems across functional components Making sure about continuous Gemalto AWS cloud improvements. Knowledge, Skills and Experience: To succeed at this job, you must have a strong customer focus and prior experience as a Cloud Operations Engineer or DevOps Engineer. You must have past experiences on Linux/Windows based OS, experience in monitoring/logging like Splunk. We would like someone to join our team who will have a strong customer focus and who is comfortable in an ambiguous, ever changing environment. Have experience with incident and change management process. We are looking for someone with excellent network analysis fundamentals, robust troubleshooting skills with large scale customer support systems and processes

About The Role Job Title - S&C Global Network - AI - Merchandising Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Merchandising Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization. Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

About The Role Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : HPE Network Management Center Good to have skills : Python (Programming Language)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationRole:Monitoring Tool SpecialistRole Description:Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running.Must Have Skills: Candidates should have 14+ years industry experience in managing tools MF NNM Applications and Excellent network analysis fundamentals and robust troubleshooting skills Good To Have Skills: MF NPS/NA/UCMDB/Sitescope/OBM and Server Operating System (Windows/Unix/Linux), Network & Application Monitoring tools Knowledge. Industry Standard tool certifications will be preferred.Job Key Responsibilities a. NNM/NPS/NA/iSPI's Installation/Upgrade with ApplicationFailover and HA Environment.b. NNM Integration with multiple MF Tools as well as 3rd party tools.c. NNM/NA discovery and DDP Installationd. Configuring LDAP, SMTP and SSL on NNM/NA.e. Performing Router, Switches, Firewall, Load balancer discovery/trubleshooting.f. Troubleshooting of discovery failure and inetgation related issues.g. NPS Standard and customization reports and schudling.h. Experince on NNM/NPS/NA/iSPI migration. Technical Experience:a. Installation of Installation.b. Integration with NPS/NA/UCMDB, OBM and 3rd party tools like mywizard.c. Basic and Advanced Discovery Knowledge.d. NNM/NPS/NA console, custompoll, SNMP Traps, monitoring setting.e. Scripting - Perl, Shell, etc. for any cutomization and automation in NNM. Professional ExperienceGood understanding of ITIL framework Flexible to work in 24x7 environment Should have knowledge of SLAs OLAs and KPIs Well versed corporate ethics and compliance Team player who also works well independently self-motivated Work on the service improvement programs. Educational Qualification:Bachelor degree or Engineering and 15 years of full time education. Additional Information:Good communication, presentation, technical documentation, and collaboration skills. Qualification 15 years full time education

Job Title: Network Engineer Network Engineer will be part of the IT Infrastructure team that provides design, deployment & support for systems, services, and requirements across PhonePe Corporate locations. Responsibilities & requirements This is a hands-on technical role. Independently own the Network Infrastructure support solving complex issues and suggesting design modifications as appropriate. Ensure SLAs are met Responsible for performance analysis, proactive troubleshooting, and capacity planning for the Network platforms. Perform monitoring and maintenance of the overall environment working with experienced team members. Perform change controls. Update process documentation and team portals Participate in troubleshooting, capacity planning, analysis, performance analysis & Root Cause Analysis. Communicate with peers and managers regarding system issues & participate in 24x7 on-call. Ability to handle multiple complex tasks in a dynamic environment, with tight deadlines concurrently. Experience & Qualifications 2-4 years of experience in design, deploy & manage IPv4/IPv6 networks(Routers/Switches/Firewalls and WiFi Solution) Platform knowledge on Juniper /Aruba/ FortiGate/Cisco Solid understanding of IP/MPLS and Ethernet technologies. Experience in IP services (IPv4, IPv6, VPN, Multicast, QOS, SNMP, VOIP, SIP, etc). Experience in Wireless technologies (Wireless Lan topologies, devices, troubleshooting, 802.11 network security architecture & RF site surveys) Proven experience in network management & Expert knowledge of network analysis tools ( Nagios, Zabbix, etc) Hands-on experience with Protocol Analyzer tools & debugging tools. Hands-on experience with BGP, OSPF configuration Experience with firewalls, VPN's, remote implementation, troubleshooting, and problem resolution is desired Knowledge on Linux Platform. Engage with vendors. Good communication skills Familiarity with backup and recovery process, software and methodologies Candidates with Multi-platform skills are preferred. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Role & responsibilities Analyze the organizations network and system requirements. • Research and analyze the network devices, protocols, services, and standards to support network activities. • Install and maintain network servers and operating systems to ensure backup copies of all files are securely stored at a specific location. • Troubleshoot problems with network devices and perform updates when required. • Install, configure, and maintain multi-user software on the servers. • Administer and maintain end-user accounts, authentication, and permission rights. • Install, configure, and maintain network communications and other networking devices such as hubs, switches, and UPS. • Maintain and perform the necessary needs of all network-connected devices. • Manage security solutions, such as anti-virus, firewall, and intrusion detection systems. • Install the software, hardware, and other devices to meet the organization’s network requirements. • Guide the System Administrator in the maintenance of the VOIP system.

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : BlueYonder Transportation Management Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are looking for a skilled Blue Yonder TMOD Consultant with 815 years of functional experience in transportation modeling and supply chain network analysis. The ideal candidate should have a strong understanding of global transportation networks, cost structures, and experience using leading modeling tools to drive data-backed decisions.Key Responsibilities:Analyze and model global transportation networks to optimize cost and service.Work closely with business and technical teams to gather requirements, define scenarios, and run simulations.Leverage tools like LLamasoft, Supply Chain Guru, and ideally Blue Yonder TMOD to perform network analysis and what-if scenarios.Interpret and present findings from transportation models to key stakeholders.Work on large datasets using Excel and Access DB to extract, analyze, and prepare data for modeling.Provide insights and recommendations to improve network design and cost efficiency.Key Skills & Qualifications:35 years of functional experience in transportation modeling or network optimization.Strong understanding of global transportation networks and associated cost structures.Hands-on experience with modeling tools such as LLamasoft (Supply Chain Guru); experience with Blue Yonder TMOD is a strong plus.Proficient in data analysis using Microsoft Excel (advanced functions, pivot tables, charts) and Access DB.Excellent analytical, problem-solving, and communication skills.Ability to work independently in a fast-paced environment and manage multiple priorities. Qualification 15 years full time education

Project Role : Advanced Application Engineer Project Role Description : Utilize modular architectures, next-generation integration techniques and a cloud-first, mobile-first mindset to provide vision to Application Development Teams. Work with an Agile mindset to create value across projects of multiple scopes and scale. Must have skills : BlueYonder Transportation Management Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are looking for a skilled Blue Yonder TMOD Consultant with 815 years of functional experience in transportation modeling and supply chain network analysis. The ideal candidate should have a strong understanding of global transportation networks, cost structures, and experience using leading modeling tools to drive data-backed decisions.Key Responsibilities:Analyze and model global transportation networks to optimize cost and service.Work closely with business and technical teams to gather requirements, define scenarios, and run simulations.Leverage tools like LLamasoft, Supply Chain Guru, and ideally Blue Yonder TMOD to perform network analysis and what-if scenarios.Interpret and present findings from transportation models to key stakeholders.Work on large datasets using Excel and Access DB to extract, analyze, and prepare data for modeling.Provide insights and recommendations to improve network design and cost efficiency.Key Skills & Qualifications:35 years of functional experience in transportation modeling or network optimization.Strong understanding of global transportation networks and associated cost structures.Hands-on experience with modeling tools such as LLamasoft (Supply Chain Guru); experience with Blue Yonder TMOD is a strong plus.Proficient in data analysis using Microsoft Excel (advanced functions, pivot tables, charts) and Access DB.Excellent analytical, problem-solving, and communication skills.Ability to work independently in a fast-paced environment and manage multiple priorities. Qualification 15 years full time education

Job Title: Electrical Design Engineer (CAD) Education: B.E(Electrical and electronics) Relevant Experience: 3 - 5 years. Location: Bangalore, India Job Summary: Design and development of Electrical wiring harnesses, competent in creating harness Design (CAD) and maintain documentation (Drawings/Windchill), using Creo Schematics, Creo cabling to develop harness design solutions within a CAD environment. Roles and Responsibilities: Support Design Engineering projects independently. Collaborate with other design engineers working on those projects. Prepare Engineering documentation, bill of material and change notices. Collaborates and communicates cross functionally and project partners. Provides design support for current production products. Understand and adhere to design and drafting standard practices. Work from oral or written engineering instructions, procedures, drawings, and sketches. Carries out engineering activities under minimal or no supervision Capable of coaching/mentoring lesser experienced engineers on a particular function/domain. Commit to deliver 100% quality job on time. Required Skills: Design and development of Electrical wiring harnesses, competent in creating harness Design (CAD) and maintain documentation (Drawings/Windchill), using Creo Schematics, Creo cabling to develop harness design solutions within a CAD environment. Desired Skills: Design and development of Electrical wiring harnesses, competent in creating harness Design (CAD) and maintain documentation (Drawings/Windchill), using Creo Schematics, Creo cabling to develop harness design solutions within a CAD environment. Soft Skills: Hands on experience with Creo-Cabling and Creo Schematics, Pro-Diagram and AUTOCAD. Develop harness design solutions within a CAD environment and adhere to internal design standards and requirements. Work experience in NPD, QnR & VAVE projects are preferable. Able to make selection of wires, terminals, connectors for other electrical devices. Establish a local design capability for electrical wiring, designing harnesses to schematics provided by program teams. Will have to perform Electrical network analysis, component selection such as connectors/Terminals, wire size, fuse, etc Comprehensive understanding and application of drafting rules and principals (ASME Y14.5M), able to develop company standards. Good knowledge on Bill of Materials. HVAC domain experience is preferred. Good Oral and Written communication skill. Ability to handle Design/Drawing release with minimum guidance. Must be able to adjust changing demands, priorities and objectives.

Location: Bangalore Department: InfoSec About Zybisys: At ZyBiSys , our success is driven by innovation and technical excellence. We deliver top-tier IT solutions and services, ensuring seamless connectivity and efficient infrastructure management for our clients. Additionally, we specialize in managing cybersecurity , information security , and compliance to safeguard our customers' digital environments. As we continue to grow, we are seeking skilled professionals to join our SOC Team . If you are passionate about information technology and eager to make a difference, we invite you to be part of our journey! Role Overview: A SOC-Analyst is the first line of defence in a Security Operations Center, responsible for monitoring, detecting, and responding to security incidents in real-time. Key Responsibilities: Monitoring & Alerting Use SIEM and EDR tools to continuously monitor system alerts and network traffic. Identify suspicious activities and indicators of compromise (IoCs). Incident Handling Perform initial triage of alerts and determine severity levels. Escalate incidents with clear documentation and context. Threat Investigation Investigate alerts for root causes and determine actionable steps. Analyze phishing attempts, flagged URLs, and suspicious file attachments. Documentation & Reporting Maintain detailed incident logs and generate regular security activity reports. Assist in creating playbooks and refining response workflows. Collaboration Work with IT teams to remediate vulnerabilities and support compliance audits. Participate in war-room discussions during critical incidents. Analytical Thinking Root cause analysis for distinguishing false positives from genuine threats. Ability to correlate data from diverse sources to identify complex attack vectors. Threat Intelligence Integration Leverage threat intelligence feeds to compare alerts with known signatures. Identify emerging threats and communicate insights to senior analysts. Technical Expertise Hands-on experience with SIEM platforms (e.g., Splunk, QRadar) and EDR tools (e.g., CrowdStrike, Carbon Black). Basic scripting knowledge for automating repetitive SOC tasks. Adaptability & Learning Stay updated on the latest cyber threats, tools, and techniques. Contribute to continuous improvement of SOC processes and detection capabilities. Interpersonal Skills Strong communication skills for effective coordination with cross-functional teams. Mentorship of junior team members to foster team growth and resilience. Qualifications: Education: - Tech degree or equivalent (B. Tech/MCA/BCA/M.Tech)] Required Key Skills Key Tools & Hands-on Experience Technical Proficiency Familiarity with SIEM platforms (Splunk, Azure Sentinel) and EDR tools (Microsoft Defender, Sentinel One). Basic understanding of IDS/IPS, vulnerability scanning tools (Nessus, Qualys), and packet analysis tools (Wireshark). Firewalls and Network Security Solid understanding of TCP/IP, DNS, DHCP, ARP, HTTP/HTTPS, and other protocols. Knowledge of packet capture and analysis tools like Wireshark or tcpdump. Operating Systems Windows: Event logs, registry analysis, PowerShell basics. Linux/Unix: Command-line utilities, syslogs, and basic shell scripting.( Bash , Python, etc ) Active Directory (AD) Vulnerability Management Basic understanding of vulnerability scanning tools like Nessus, Qualys, or OpenVAS. Knowledge of collecting and analyzing evidence (e.g., memory dumps, disk images). Certification: - Mandatory: Certified Ethical Hacker (CEH) Preferred: CompTIA Security+, Certified SOC Analyst (CSA), or GSEC. Communication Skills: Strong communication and documentation skills, with the ability to work collaboratively with other teams. Problem-Solving Ability Strong analytical and troubleshooting skills to address complex security incidents effectively. Shift Flexibility:- Willingness to work in shifts, including weekends and off-hours if required. __________________________________________________________________________________ To Apply: Are you an experienced IT professional with a passion for tackling complex challenges and enhancing information security and cybersecurity? If you're driven to make a meaningful impact, we want to hear from you! Submit your resume and a cover letter showcasing your relevant experience and why you're the ideal candidate for the SOC-Analyst role at ZyBiSys . We look forward to welcoming you to our team!