Senior / Lead Firmware QA - Medical Devices - HIL & SIL

We are looking for a Business Analystwho is a creative problem solver at heart and who thrives in a team environment.

About Us

At Metron Security, we help top cybersecurity companies make their tools work better together. Our engineering team builds integrations for platforms like Splunk, IBM QRadar, ServiceNow, CrowdStrike, and Cybereason—and we bring that same energy to marketing.

We’re collaborative, curious and always learning. Creativity and ownership drive everything we do, and we believe great ideas can come from anywhere.

What You’ll Be Doing

In this dynamic role, you will be the crucial interpreter, ensuring a seamless flow of communication between our world-class cybersecurity engineers and strategic business stakeholders. You will leverage your technical acumen to produce clear,authoritative technical content, drive impactful marketing campaigns that highlight our security solutions, and build meaningful relationships within the wider cybersecurity developer ecosystem. This is your chance to turn deep technical understanding into clear, market-ready business value. 

You will work with the marketing and business development team to work on technical content, manage and oversee relationships with new and existing partners through high-touch networking, lead generation, and market research. The candidate is responsible to work with the Managing Partner and marketing team to scale the business and also help organize the internal processes. The role requires planning, direction, and most importantly execution to develop and grow revenue in accordance with targets.

Key Responsibilities:

• Liaisoning technical + business:
• Create detailed and precise documentation including functional specifications, use cases, process flows, and system design documents.
• Collaborate with technical team to generate content and marketing collaterals
• Conduct thorough assessments to understand current business processes and identify areas for improvement.
• Maintain and update documentation as project requirements evolve.
• Collaboration and Communication:
• Act as a liaison between technical teams and business stakeholders, ensuring a clear understanding of requirements and       expectations.
• Facilitate meetings, workshops, and presentations to communicate project status, findings, and recommendations.
• Solution Evaluation:
• Evaluate technical solutions to ensure they meet defined business requirements and objectives.
• Conduct thorough testing and validation to confirm the quality and functionality of developed solutions.
• Continuous Improvement:
• Stay updated on industry trends, best practices, and emerging technologies relevant to our business processes.
• Proactively identify opportunities for process optimization and system enhancements.
• Working with the executive team to develop a comprehensive digital business strategy and assisting with its execution.
• Establishing a pipeline of core digital marketing activities and ensuring that the pipeline is aligned with the company’s revenue targets and digital marketing goals.
• Maintaining metrics and quality service by establishing and enforcing organization standards.
• Assessing new business opportunities with a strong revenue target in mind.
• Identifying, exploring, and evaluating business opportunities, performing risk assessment, and mitigating potential risks.
• Gathering market and customer information.
• Engage with the technical team to identify new opportunities within existing client businesses or contacts. Maintain strong and prosperous working relationships with key clients.

 Requirements:

• Enthusiastic and passionate – genuinely love digital and enjoy solving problems.
• Digital industry experience and knowledge.
• Knowledge of digital marketing best practices.
• Excellent written and verbal communication skills.
• Ability to develop and maintain strong and collaborative relationships internally and externally.
• Pursuing leads and moving them through the sales cycle.
• Attending conferences and industry events.

Expected Qualifications:

• Bachelor's degree in Business Administration, Computer Science, Information Systems, or a related field.
• Proven experience as a Business Analyst, preferably in a technical environment.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
• Proficiency in Google Workspace, Microsoft Office Suite, Excel, etc.
• Familiarity with CRM systems, ERP systems, etc. is a plus.

REVIEW CRITERIA:

MANDATORY:

• Strong Technical Support Leader profile
• Must come from SaaS / Enterprise Product companies (preferably high-scale transactional platforms)
• 12+ years of experience in Technical Support / Application Support, with minimum 6–7 years leading L3 or escalations teams
• Proven experience handling customer escalations, Root Cause Analysis (RCA), incident ownership, and cross-functional resolution with Product & Engineering teams
• Experience managing L3 Support teams of ~20+ members, including mentoring, workload planning, shift governance, and performance management
• Hands-on understanding of: Databases ( PostgreSQL / SQL), Middleware / Servers (JBoss, Tomcat, IIS, Nginx, Apache) and Operating Systems like Linux, Unix, Windows
• Effectively coordinate with architects and engineering heads
• Strong capability in SLA management, ticket lifecycle governance, escalations process setup, and support dashboards/reporting
• Working knowledge of Freshdesk / Jira / ServiceNow or equivalent enterprise ticketing platforms
• Excellent communication, customer handling, crisis de-escalation, and ability to simplify technical details for leadership

PREFERRED:

• Experience supporting platforms in Retail Tech, ERP, Telecom, Hospitality, EdTech, or similar high-scale industries

ROLES AND RESPONSIBILITIES:

As the G1 Head of Technical Support, you will be the central force ensuring an exceptional post-go-live technical experience across the company suite. You’ll oversee L3 support operations across all products, manage customer escalations, drive cross-team resolution, and build processes for visibility, accountability, and continuous improvement. This is a cross-functional, high-impact leadership role, working across engineering, QA, DevOps, customer support, and product teams to ensure that every issue is tracked, resolved, and learned from—within SLA and with a customer-first mindset.

YOU WILL-

Incident & Ticket Management:

• Own end-to-end L3 technical support governance across company products (ERP, POS,OMS, etc.)
• Ensure customer issues are responded to and resolved within defined SLAs
• Drive prioritization, root cause resolution, and engineering coordination across product teams
• Personally manage and de-escalate high-severity issues with customers and internal teams

Process & Metrics Ownership:

• Define, track, and optimize support processes, SLAs, escalation workflows, and ticket lifecycle practices
• Build dashboards for SLA adherence, issue aging, bug trends, defect density, etc.
• Establish strong feedback loops to engineering/product based on recurring issues

RCA & Knowledge Management:

• Ensure timely Root Cause Analysis (RCAs) for all S1/S2 issues with actionable insights
• Lead trend analysis to preempt issues and recommend long-term fixes or product hardening
• Build and maintain a knowledge base to improve internal resolution efficiency

Customer Interaction:

• Engage with enterprise customers on complex or long-running tickets
• Serve as a trusted escalation point for strategic clients
• Collaborate with Customer Success and Implementation teams for seamless client experience

Collaboration & Leadership:

• Coordinate with Product Architects and Engineering Heads to ensure ticket resolution
• Build and mentor a lean L3 support team or tiger squads when required
• Drive a culture of accountability, learning, and proactiveness in technical support

IDEAL CANDIDATE:

• 11+ years of experience in technical support or L3 support leadership roles in SaaS or high- scale enterprise products
• Strong experience handling customer escalations, RCAs, and cross-team ticket resolution
• Solid technical background (understanding of APIs, microservices, database queries, logs, debugging)
• Expertise in support tooling: Freshdesk, Jira, ServiceNow, etc.
• Excellent communication skills—able to speak fluently with both customers and engineers
• Data-driven mindset for reporting, insights, and stakeholder updates
• Experience working in retail tech, ERP, or platform businesses is a big plus

PERKS, BENEFITS AND WORK CULTURE:

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual company walkathon & related sporting events.
• Quarterly Coffee with CEO.

We're Hiring: Machine Learning & Data Science Engineer

Location: Gurugram / Bengaluru (Full-time, In-Office)

Salary: Up to ₹2.5 Cr

Preferred Qualifications: PhDs, Tier-1 Grads (IITs, IISc, top global universities)

Join a stealth, VC-backed startup operating across the US, India, and EU, shaping the future of AI-driven Observability utilizing LLMs, Generative AI, and cutting-edge ML technologies. Collaborate with visionary founders experienced in scaling billion-dollar products.

🔍 What You’ll Do:

- Develop advanced time series models for anomaly detection & forecasting

- Create LLM-powered Root Cause Analysis systems employing causal inference & ML techniques

- Innovate using LLMs for enhanced time series comprehension

- Build real-time ML pipelines & scalable MLOps workflows

- Utilize Bayesian methods, causality, counterfactuals, and agent evaluation frameworks

- Handle extensive datasets in Python (TensorFlow, PyTorch, Scikit-Learn, Statsmodels, etc.)

✅ What We’re Looking For:

- Minimum 5 years of experience in ML, time series, and causal analytics

- Proficiency in Python & the ML ecosystem

- In-depth understanding of causal inference, Bayesian statistics, LLMs

- Background in ML Ops, scalable systems, and production deployment

- Additional expertise in Observability, AI agents, or LLM Ops is a plus

💡 Why Join:

- Contribute to building a groundbreaking product from inception

- Tackle real-world impactful challenges alongside a top-tier team

- Engage in a culture that prioritizes ownership, agility, and creativity

Apply here: https://whitetable.ai/form/machine-learning-data-science-engineer-dc784b

Past experience in working with any product start-up is a plus.

● Proficiency in fundamental front end languages such as HTML, CSS, and JavaScript.

● Familiarity with JavaScript frameworks such as Angular JS, React, and others.

● Knowledge of Node.js and frameworks available for it such as Express (recommended).

● Good understanding of asynchronous request handling, partial page updates, and AJAX

● Understanding of REST Services.

● Experience with Redis.

● Familiarity with database technology such as MySQL, MongoDB and Elasticsearch.

● Proficient understanding of serverless programming.

● Proficient understanding of code versioning tools, such as Git.

● Good problem-solving skills.

● Attention to detail.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

We are looking for "Mulesoft Developer" for Reputed Client @ Coimbatore Permanent Role.

• 5 Years of IT experience

• Current 3+ years of hands-on MuleSoft development experience, including creating custom Mule

• Enterprise-level Java development experience (ex. J2EE web development experience using but not limited to EJB, Servlet, JDBC, ORM, etc.)

• Experience with SOAP and REST Web services, RAML Swagger open API development, and SOA APIs ensuring MuleSoft best practices.

• Experience with concepts for MuleSoft implementations including encryption, security, logging, throttling, scalability and clustering.

• A pro-active individual with strong communication skills

Job Summary

• Candidates must have knowledge of converting PSD/Figma/Xd into HTML(WordPress) with custom bootstrap coded.
• Must have knowledge of WordPress page builders like Elementor, DIVI, Beaver Builder or Visual Composer and able to customize WordPress plugins if needed.

• Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery.
• Experience designing and developing responsive design websites.

• Ability to understand CSS changes and their ramifications to ensure consistent style across platforms and browsers.
• Ability to convert comprehensive layouts and wireframes into working HTML pages.

• Strong understanding of PHP back-end development

Key Skills
Wordpress, WooCommerce. Elementor, PSD/Figma/Xd to HTML, Bootstrap