Job Description – Malware Analyst A malware analyst examines malicious software, such as bots, worms, and trojans to understand the nature of their threat. This task usually involves reverse-engineering the compiled executable and examining how the program interacts with its environment. The analyst may be asked to document the specimen’s attack capabilities, understand its propagation characteristics, and define signatures for detecting its presence. Reverse engineering capabilities are also considered essential to a successful malware analysis. Malware analysts are responsible for conducting both dynamic and static analyses of suspicious code in order to establish signatures that indicate its presence. They also determine how such code spreads through systems and develop tools and procedures to detect the code in advance of any infection. Job responsibilities include: Document malware threats and identify procedures to avoid them Static and dynamic analyses using tools to identify threats Classify malware based on threats and commonalities Write alerts to let security personnel know about the latest threats Understand tools that identify zero-day cyber threats and work to protect from them Participate in research and development of malware protection tools Ability to setup collection mechanisms for malware samples (honey pots) Ability to setup virtualized environments for malware analysis Capabilities for Malware Analysis Fundamentals Networking and TCP/IP Operating system internals (Windows and Unix) Computer security Forensics and incident response Programming (Assembly, C, C++, Python, and Perl) Assemble a toolkit for effective malware analysis Examine static properties of suspicious programs Perform behavioral analysis of malicious executables Perform static and dynamic code analysis of malicious executables Contribute insights to the organization's larger incident response effort Malicious Code Analysis Core concepts for analyzing malware at the code level x86 Intel assembly language primer for malware analysts Identifying key x86 assembly logic structures with a disassembler Patterns of common malware characteristics at the Windows API level (DLL injection, function hooking, keylogging, communicating over HTTP, etc.) In-Depth Malware Analysis Recognizing packed malware Automated malware unpacking tools and approaches Manual unpacking of malware using OllyDbg, process dumping tools and imports-rebuilding utilities Intercept network connections in the malware lab Interact with malicious websites to examine their nature De-obfuscate browser scripts using debuggers and runtime interpreters JavaScript analysis complications Self-Defending Malware Bypassing anti-analysis defences Recovering concealed malicious code and data Unpacking more sophisticated packers to locate the Original Entry Point Identifying and disabling methods employed by malware to detect analysts' tools Analyzing shellcode to assist with the examination of malicious documents and other artefacts Malicious Documents and Memory Forensics Analyse malicious Microsoft Office (Word, Excel, PowerPoint) documents Analyse malicious Adobe PDF documents Analyse memory to assess malware characteristics and reconstruct infection artefacts Using memory forensics to analyse rootkit infections Essential Qualifications 2-4 years’ experience as a SOC specialist/Malware analyst Certifications in Networking, OS, Infosec and languages (C, C++, Perl, Python & Assembly) Bachelor’s degree in Computer Science Show more Show less
Sequretek is a global cybersecurity company based in Mumbai, offering end-to-end security solutions through their AI-driven Percept Cloud Security Platform. With over 100s of customers worldwide, the company has experienced significant growth and has been recognized by industry influencers and strategic partners. The Chief of Staff serves as a strategic partner to the CEO, acting as an extension of the executive office. The role involves driving key initiatives, managing cross-functional projects, and optimizing internal processes to ensure alignment with the company's strategic goals. The ideal candidate will have a blend of operational expertise, leadership skills, and a deep understanding of the software industry. Key Responsibilities: Strategic Planning & Execution: - Work closely with the CEO to drive company-wide strategic initiatives, including tracking progress and ensuring key deliverables are met. - Support the CEO in long-term planning, organizational design, and goal-setting. - Facilitate communication and coordination across the leadership team to ensure alignment on key priorities. Project Management: - Lead and manage special projects and initiatives that require cross-department collaboration. - Ensure timelines, resources, and outcomes are aligned with the CEO's strategic vision. - Manage and resolve issues that impede project success. Executive Operations: - Act as a trusted advisor to the CEO, providing insights and recommendations on business decisions and operations. - Prepare executive presentations, reports, and analyses for internal and external stakeholders. - Oversee the CEO's office operations, ensuring that the CEO's time and resources are maximized efficiently. Communication & Stakeholder Management: - Serve as a key liaison between the CEO and other executives, employees, and external stakeholders. - Ensure clear communication across all levels of the organization regarding key initiatives, priorities, and decisions. - Represent the CEO in meetings when necessary and ensure follow-up on action items. Operational Efficiency: - Identify and implement processes that enhance operational efficiency across the company. - Assist in driving continuous improvement efforts within the executive office and across the organization. - Support the CEO in fostering a culture of accountability, collaboration, and innovation.,
Position : AL/ML Architect Location : Mumbai/Bangalore Qualifications: The successful candidate should have either of the below B.SC, B.E/B.Tech./M.E./M.S./M.Tech with good academic record Experience: 10+ years overall with 4-5 years as Architect 4+ years of experience applying statistical/ML algorithms and techniques to real-world data sets. 4+ years as a developer with experience in related scalable and secure applications. 2+ years experience independently designing core product modules or complex components Hands on Experience on GenAI Key Responsibilities Involves in Designing and Overseeing the overall architecture of ML systems, including data pipelines, model selection, deployment strategies, and ensuring scalability and performance. Require a strong understanding of AI algorithms, data engineering, and software architecture, while collaborating with cross-functional teams to translate business needs into effective ML solutions. Define the overall architecture of ML systems, considering data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment pipelines. Evaluate and select appropriate ML algorithms based on data characteristics and business objectives. Design and implement data pipelines for data collection, cleaning, transformation, and feature engineering. Ensure ML systems can handle large volumes of data and deliver efficient predictions. You are expected have depth/breadth of knowledge of specified multiple technological areas, and architectural areas, which includes knowledge of applicable processes, methodologies, standards, products and frameworks. You would be responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs). You should provide technical leadership, mentor and guide team of developers, who would be developing the solution. You need to collaborate with multiple teams to arrive at technical and tactical decisions. You should contribute and adopt practices such as reuse, defect prevention, process optimization, process automation, productivity enhancement. Skills Expert knowledge of languages such as Python Proficiency in Probability, Statistics and Linear Algebra Proficiency in Machine Learning, Deep Learning, NLP, [GenAI is add on] Familiarity with Data science platforms, Tools and frameworks Designs scalable processes to collect, manipulate, present, and analyse large datasets in a production-ready environment Experience with large volumes of data, algorithms, and prototyping Nifi, Kakfa, HDFS, Big Data, MongoDB, Cassandra. CI/CD pipelines with tools like GIT, Jenkins, Maven, Ansible,Docker Prefer great appreciation or expertise in Security products such as End point detection, protection and response, Managed detection and response etc Show more Show less
The ideal candidate for the position of AL/ML Architect should possess a B.SC, B.E/B.Tech./M.E./M.S./M.Tech degree with a strong academic record. With at least 10 years of overall experience, including 4-5 years in an Architect role, the candidate should also have 4+ years of hands-on experience applying statistical/ML algorithms and techniques to real-world data sets. Additionally, 4+ years of experience as a developer working on scalable and secure applications is required, along with 2+ years of experience independently designing core product modules or complex components. Proficiency in GenAI is a must-have for this role. Key Responsibilities: The responsibilities of this role include designing and overseeing the architecture of ML systems, encompassing data pipelines, model selection, deployment strategies, and ensuring scalability and performance. The candidate should have a strong understanding of AI algorithms, data engineering, and software architecture. Collaboration with cross-functional teams to translate business needs into effective ML solutions is essential. Defining the architecture of ML systems, from data ingestion to deployment pipelines, and selecting appropriate ML algorithms based on data characteristics and business objectives are crucial aspects of the role. Designing and implementing data pipelines for data collection, cleaning, transformation, and feature engineering is also a key responsibility. Ensuring that ML systems can handle large volumes of data and deliver efficient predictions is vital. The candidate should have in-depth knowledge of multiple technological and architectural areas, applicable processes, methodologies, standards, products, and frameworks. Defining and documenting architecture, capturing non-functional requirements, preparing estimates, and defining technical solutions to proposals are part of the role. Providing technical leadership, mentoring a team of developers, and collaborating with multiple teams to make technical decisions are essential aspects. Practices such as reuse, defect prevention, process optimization, automation, and productivity enhancement should be adopted. Skills: The candidate should have expert knowledge of languages such as Python, proficiency in Probability, Statistics, and Linear Algebra, and proficiency in Machine Learning, Deep Learning, NLP (GenAI is an added advantage). Familiarity with data science platforms, tools, and frameworks is required. Designing scalable processes for collecting, manipulating, presenting, and analyzing large datasets in a production-ready environment is essential. Experience with large volumes of data, algorithms, and prototyping is necessary. Knowledge of Nifi, Kakfa, HDFS, Big Data, MongoDB, Cassandra, and CI/CD pipelines with tools like GIT, Jenkins, Maven, Ansible, Docker is preferred. Expertise or appreciation in Security products such as End-point detection, protection and response, Managed detection and response is also desirable for this role.,
Key Responsibilities Communicate with prospective enterprise buyers via emails, LinkedIn, Twitter, and outbound calls . Reach out to decision-makers (CISO/CIO/CTO/IT Heads/Security Heads) and help fix meetings for Sales team members. Manage appointment scheduling and update details in the CRM on a daily basis . Send RSVPs, reminders, and thank-you notes to prospective customers. Support webinar/event promotions and manage registrations. Maintain and update customer databases with accurate activity logs. Participate in daily/weekly review meetings with Sales & Marketing teams. Work towards achieving set targets for outreach, meetings fixed, and lead generation support. What We are Looking For Education: Final-year students or recent graduates (BBA, B.Com, BA, B.Sc, MBA, or equivalent). Strong interest in Sales, Marketing, and Cybersecurity . Excellent verbal and written communication skills in English (knowledge of Hindi or regional languages is a plus). Proficiency in MS Office, Email communication, and CRM tools (training will be provided). Good organizational, interpersonal, and presentation skills. Self-motivated, eager to learn, and able to work in a fast-paced environment .