Market Development and Solutions Lead

The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

Candidate must be having 9+ years of engineering experience, with 3u20134 years in technical leadership

Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

Ability to design scalable architectures for high-performance systems.

Should have AI/ML deployment experience

Strong 3D graphics/WebGL/Three.js knowledge.

Candidates should be from SAAS/Software/IT Services based startups or scaleup companies only

Position: QC Manager - Building material

experience: 5+ year in Building material or manufacturing

salary Negotiable

Location: Kapadvanj, Gujarat

Qualification: Bachelor degree in Engineering (Mechanical, Electrical, Industrial, etc.)

Mandatory skill-

• Experience with quality systems (ISO 9001, Six Sigma, etc.).
• Proficient in QC tools (calipers, micrometers, CMM).

The QC Engineer is responsible for maintaining the quality of products and production processes in a manufacturing unit. The individual will perform a range of quality control functions such as inspecting raw materials, monitoring production processes, testing finished products, and ensuring compliance with quality standards. The role also includes collaborating with cross-functional teams to implement continuous quality improvements.

Job Duties :

• ? Inspect raw materials, in-process items, and finished products.
• ? Conduct dimensional, visual, and functional tests to ensure compliance with quality standards.
• ? Document test results, analyze findings, and initiate timely corrective actions when necessary.
• ? Continuously monitor production processes to ensure adherence to established quality standards.
• ? Identify potential quality risks in real-time and take corrective measures as required.
• ? Ensure that quality checkpoints are integrated into the production flow and are consistently maintained.
• ? Investigate defects, non-conformities, and deviations from product specifications.
• ? Analyze production data to identify trends, patterns, or recurring issues that impact quality.
• ? Prepare detailed reports on quality findings and provide recommendations for corrective actions.
• ? Ensure full compliance with industry standards, including ISO, GMP, and other regulatory requirements.
• ? Participate in and support internal and external quality audits, providing necessary documentation.
• ? Maintain and update QC documentation, such as inspection checklists, reports, and records.
• ? Develop and implement corrective actions to address identified quality issues.
• ? Collaborate with cross-functional teams to prevent recurrent quality problems through preventive measures.
• ? Monitor and assess the effectiveness of implemented CAPA actions to ensure continuous improvement.
• ? Ensure that all testing tools, measuring equipment, and QC instruments are properly calibrated and maintained.
• ? Oversee the scheduling and execution of regular maintenance for QC equipment to guarantee accuracy and reliability.
• ? Lead and manage quality improvement projects to enhance the efficiency and effectiveness of production processes.
• ? Implement continuous improvement strategies focused on reducing defects and improving product quality.
• ? Stay updated on industry trends, new technologies, and best practices in quality control.
• ? Provide ongoing training to staff on quality control procedures, testing methods, and inspection techniques.
• ? Promote a culture of quality awareness across the manufacturing plant, ensuring all staff adhere to best practices.

Required Qualification & Experience:

• Bachelor degree in Engineering (Mechanical, Electrical, Industrial, etc.).
• Min 5 years of experience in QC or QA within a manufacturing environment.
• Experience with quality systems (ISO 9001, Six Sigma, etc.).
• Proficient in QC tools (calipers, micrometers, CMM).
• Familiarity with SPC, root cause analysis, and quality software.
• Knowledge of Microsoft Office (Word, Excel, PowerPoint).

KRA

• Ensure the quality of raw materials, in-process items, and finished products through rigorous inspection and testing, documenting results and initiating corrective actions as needed.
• Monitor production processes to identify risks and implement preventive measures, ensuring compliance with industry standards and internal quality protocols.
• Lead continuous improvement initiatives and training programs to foster a culture of quality awareness and enhance overall product quality.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish- 88O 27 49 743

Join us to reimagine how businesses integrate data and automate processes – with AI at the core.

About FloData

FloData is re-imagining the iPaaS and Business Process Automation (BPA) space for a new era - one where business teams, not just IT, can integrate data, run automations, and solve ops bottlenecks using intuitive, AI-driven interfaces. We're a small, hands-on team with a deep technical foundation and strong industry connects. Backed by real-world learnings from our earlier platform version, we're now going all-in on building a generative AI-first experience.

The Opportunity

We're looking for a Full-Stack Tech Lead who can drive the development of our new platform while mentoring a small but capable team. You'll own technical delivery across the stack (Next.js, Nest.js, Spring Boot, LangGraph on AWS), influence architecture decisions, and work closely with leadership on bringing our product vision to life.

If you're excited about building AI-native experiences, love working across the stack, and thrive in a fast-paced startup environment, this is your chance to shape a category-defining product.

What You'll Do

• Spend 70% of your time designing, building, and reviewing software across frontend, backend, and AI layers
• Guide a small engineering team (30% of your time) and lead from the front
• Translate product and business needs into system designs and execution plans
• Own the delivery of features and infrastructure that can scale to enterprise-grade workloads
• Unblock the team, champion engineering best practices, and build a culture of quality
• Contribute to architectural decisions and introduce new technologies as needed (e. g., queuing, observability, etc. )
• Be a mentor, collaborator, and the go-to person for complex technical decisions
• Advocate and implement AI-first principles in every layer of the product

You Might Be a Fit If You Have

• 6-8 years of experience building and scaling full-stack applications
• Proven track record in early-stage B2B SaaS or platform engineering teams
• Strong command over modern web stacks - ideally Next.js, Nest.js, and Spring Boot
• Comfort working with AWS and hybrid/on-premise infra setups
• Experience or deep interest in building AI-powered user experiences (LangGraph, LLMs, etc.)
• A strong sense of ownership, product thinking, and attention to detail
• Startup mindset: resourceful, fast-moving, and outcome-focused
• Experience with enterprise IT SAAS software (Salesforce, Oracle ERP, Netsuite, etc) is a plus

Why Join Us

• Build a generational product at the intersection of AI, automation, and data
• Work closely with founders and leadership with no layers of bureaucracy
• Have end-to-end ownership of what you ship
• Help shape the culture and tech foundations of a new, ambitious company
• Onsite in Hyderabad, with flexibility when needed

Sounds like you?

We'd love to talk. Apply now or reach out directly to explore this opportunity.

About ProjectDiscovery

ProjectDiscovery is an open-source powered cyber security company with a mission to democratize security. With one of the largest open-source security communities in the world, we host contributions from security researchers and engineers to our 20+ open-source projects, including tools like Nuclei and httpx, which have earned us over 100k GitHub stars and millions of downloads.

We’re a passionate, globally distributed team of ~35, driven by the shared mission of revolutionizing the application security landscape. Backed by $25M in funding, we’re looking for talented individuals to join us in Jaipur office.

Learn more at:

🌐 ProjectDiscovery.io

📂 ProjectDiscovery GitHub

About the Role

As a Product Frontend Engineer at ProjectDiscovery, you'll craft snappy, responsive, and scalable user interfaces. Working closely with our design, engineering, and founders, you'll create intuitive tools that empower both enterprise users and the thousands of individual users at scale.

In this role, you will:

• Build new user-facing features with beautiful and scalable UI components
• Implement complex React components like the virtualized rendering of large data tables with filters, real-time streaming, pagination and grouping.
• Create reusable and scalable react components e.g. shadcn/ui for dynamic interfaces.
• Act like owners, actively refine the front-end experience and performance.
• Work closely with founders and design engineers to implement new features.
• Improve application performance by profiling
• 
  

Why Join Us?

• Competitive compensation package and stock options. (with extended exercise terms)
• Inclusive Healthcare Package.
• Learn and grow - we provide mentorship and send you to events that help you build your network and technical skills.
• Learn with intense innovation and software shipping cycles. We ship multiple times a week and push major releases a couple of times a month.
• 
  

Our Interview Process

We identify talent through a streamlined process:

1. We value efficiency and technical excellence in our hiring process:
2. Application Review: Your application is reviewed by a technical team member.
3. Initial Screening: A short call to understand your background, goals, and fit.

• Technical Rounds:Coding Assessment: Solve challenges using our tech stack.
• Create PR: Develop or enhance a feature related to one of our open-source tools.

1. Final Round: Showcase your work, share your vision, and discuss how you can contribute to ProjectDiscovery at our office in Jaipur.

Apply Now to join ProjectDiscovery and help create exceptional user experiences while shaping the future of application security.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

• Degree in Computer Science or related discipline.
• AWS Certified Solutions Architect certification required
• 5+ years of architecture, design, implementation, and support of highly complex solutions (i.e. having an architectural sense for ensuring security and compliance, availability, reliability, etc.)
• Deep technical experience in serverless AWS infrastructure
• Understanding of cloud automation and orchestration tools and techniques including git, terraform, ARM or equivalent
• Create Technical Design documents, understand technical designs and translate into the application requirements.
• Exercise independent judgment in evaluating alternative technical solutions
• Participate in code and design review process
• Write unit test cases for quality check of the deliverables
• Ability to work closely with others in a team environment as well as independently
• Proven ability to problem solve and troubleshoot
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
• Excellent English communication skills are required

We are looking for a Solution Architect with at least 5 years’ experience working on the following to join our growing team:

• AWS
• Postgresql
• EC2 on AWS
• Cognito
• and most importantly Serverless

You will need a strong technical AWS background focused on architecting on serverless (eg Lambda) AWS infrastructure.