Performance Marketing

Job Title : Network Security L3 Engineer

Experience : 5+ Years

Location : Vietnam, Philippines, Indonesia & Remote

Timing : General Shift 

Country : We are currently focusing only on the SEA regions (Vietnam, the Philippines, and Indonesia)

Interview Rounds : 3 Rounds

Job Summary :

We are looking for a skilled Network Security L3 Engineer with 5+ Years of hands-on experience in managing and securing enterprise infrastructure.

The role involves working with firewalls, IDS/IPS, proxies, WAF, and email gateways across technologies like - Palo Alto, Juniper SRX, Fortigate, McAfee, Zscaler, Akamai, and Cisco Ironport.

Mandatory Skills : Palo Alto, Juniper SRX, Fortigate, McAfee IDS/IPS, Zscaler/McAfee Proxy, Akamai WAF, Cisco Ironport, incident response, network security protocols, and AlgoSec.

Key Responsibilities :

• Configure, manage & troubleshoot firewalls (Palo Alto, Juniper, Fortigate).
• Monitor IDS/IPS (McAfee), handle threat alerts & incident response.
• Manage proxy solutions (Zscaler/McAfee) & email gateways (Cisco Ironport).
• Administer Akamai WAF and ensure web app protection.
• Support DDoS protection (Arbor), DNS security (Umbrella), and NAC (Cisco ISE).
• Lead escalations, support audits, and mentor junior engineers.

Must-Have Skills :

• Strong expertise in network security tools & protocols.
• Experience with AlgoSec, FireEye, Cisco ASA/Firepower.
• Solid understanding of security policies and compliance.

Preferred Certifications :

• PCNSA/PCNSE (Palo Alto)
• JNCIA/JNCIP (Juniper)
• ZIA-A/ZIA-P (Zscaler)
• CISSP or equivalent (preferred)

Responsibilities:

• Conduct in-depth analysis of the product and documentation requirements.
• Create highly technical documentation that meets the needs of its intended audience.
• Collaborate with the technical team to make the products easier to use by writing a simple instructions manual.
• Review the existing content and make changes as required.
• Research and develop technical design specifications and test scripts.

Requirements:

• Bachelor's degree in Computer Science or Engineering.
• 3-5 years of experience working as a Technical Writer or a similar role.
• Ability to create high-quality technical documents.
• Exceptional working experience in technical writing of software documentation requirements.
• Ability to understand the technical concepts and make them easier to understand for our product users.
• Familiar with the product development process.
• Outstanding writing skills.
• Ability to write in different styles for a variety of audiences.
• Exceptional verbal communication skills.
• Good time management skills.

Job Title: IT Recruiter

Location: Mohali, Punjab

Job Type: Full-Time | On-Site

Key Responsibilities:

• 0.6 months of experience in IT recruitment .
• Understand job requirements and create effective sourcing strategies
• Screen resumes, conduct initial interviews, and coordinate with hiring managers
• Maintain and update candidate databases.
• Strong communication and interpersonal skills
• Manage full recruitment lifecycle from sourcing to onboarding
• Familiarity with job portals and LinkedIn sourcing.

Key skills: java ,selenium,BDD,API testing,Rest assured.
Mandatory Skills:

·         Hands-on knowledge of Maven

·         Appium hands-on

·         Jenkins hands-on

·         Hands-on knowledge of API testing techniques and usage of API tools SOAP UI/JMeter (REST /SOAP)

·         Rest api automation using rest assured

·         Usage of Postman or JMeter tool to modify requests to validate multiple outputs on scenarios.

·         Analyze results of tests and to be able to update existing test suits after API changes

·         Basic Knowledge about CI/CD Concepts

·         Exposure to UI Automation, Selenium, JAVA Rest Assured, TestNG

·         Experience using at least one defect management tool – JIRA, HP ALM, ADO etc.

Nice to have skills:

·         ISTQB foundation certification would be a plus.

Work Mode: Hybrid (2 days WFO)

We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

Responsibilities

· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements

· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data

· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development

· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc

· Unify, enrich, and analyze variety of data to derive insights and opportunities

· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate

· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform

· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org

· Mentor other members in the team and organization and contribute to organizations’ growth.

Soft Skills

· Independent and able to manage, prioritize & lead workloads

· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams

· Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Technical Skills

· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.

· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.

· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity

· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application

· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools                                                 

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.