Localization Qualtiy assurance Architect

Job title: Chief Agentic Quality Architect

Type: Full-Time | Contract

Location: Remote

Role Overview

Equity Partners builds profitable growth by acquiring and operating enterprise software companies — refining a proprietary operating model across 40+ acquisitions and two decades of hands-on experience, now supercharged by our patented agentic AI platform. We're hiring a Chief Agentic Quality Architect to lead the transition from traditional scripted testing to an AI-augmented quality ecosystem. In this role, you'll audit and rebuild our quality engineering foundations, deploy agentic automation across critical business flows, and build the guardrails needed to keep AI-generated code production-ready.

Key Skills

• 10+ years in QA automation engineering, SDET, or test architecture roles
• Expert-level proficiency in Playwright, Cypress, or Selenium
• Hands-on experience using LLMs (Claude, GPT-4, etc.) and agentic frameworks to generate code or automate workflows
• Deep understanding of integrating quality gates into AWS-based CI/CD pipelines or similar environments
• Architectural mindset, with the ability to design "Behavioral Snapshots" to safeguard critical business logic during rapid transformation

Responsibilities

• Conduct a comprehensive audit of the existing test estate across unit, integration, API, UI, sanity, and regression layers, producing a Current State & Gap Coverage Report
• Architect and own a phased quality engineering roadmap across two-week, one-month, and three-month delivery horizons
• Deploy agentic test generation — transforming business requirements into executable Playwright/Cypress scripts, generating synthetic test data, and implementing self-healing automation
• Design regression strategies and quality gates specifically tuned to catch hallucinations and logic errors in AI-generated code
• Build, mentor, and upskill a specialist QA team fluent in AI-assisted testing and agentic automation frameworks

If you're ready to rewrite the rules of quality for an AI-native world, we want you leading the charge.

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a seasoned Senior Quality Engineer to provide technical leadership and architectural oversight for our next‑generation cybersecurity AI platform. In this high-impact role, you will define the technical strategy for quality assurance, ensuring our agentic AI transforms cyber defense with unparalleled reliability.

You will be responsible for the end-to-end quality lifecycle, from architectural reviews to the deployment of scalable automation frameworks. Beyond technical execution, you will serve as a mentor to junior team members, fostering a culture of technical excellence and driving the strategy that ensures our solutions meet the rigorous demands of critical infrastructure protection.

What You’ll Do

●    Defining and driving comprehensive QA strategies and roadmaps for the cybersecurity platform.

●    Designing, developing, and executing test plans, test cases, and automated scripts to ensure software quality.

●    Performing functional, regression, performance, scalability and security testing to identify bugs or defects.

●    Collaborating with developers, product managers, and other stakeholders to understand product requirements and testing needs.

●    Identifying, documenting, and tracking software defects, ensuring clear communication of issues and their resolutions.

●    Leading deep-dive root-cause analysis for critical system defects and security vulnerabilities.

●    Conducting thorough reviews of product specifications and software design to identify potential areas of concern before testing.

●    Architecting and designing complex, scalable test automation frameworks to optimize CI/CD velocity.

●    Ensuring the software meets customer and business requirements by validating the functionality and performance.

●    Assisting in continuously improving QA processes, tools, and best practices to enhance software testing efficiency and effectiveness.

●    Supporting user acceptance testing (UAT) and assisting clients with product validation.

●    Mentoring junior and mid-level engineers, providing technical guidance and conducting architectural reviews.

Required Experience

●    A Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field.

●    8-10 years of proven experience in quality engineering, specifically within network cybersecurity, Identity Providers, or AI-integrated platforms.

●    Expertise in manual and automated testing.

●    Deep domain expertise in complex system validation and advanced automation practices at scale.

●    Proficiency in programming languages like Python to build and run automated test scripts.

●    "Strong knowledge of software testing methodologies, performance testing tools (e.g., JMeter, k6), and security traffic generation/simulation tools (e.g., Ixia BreakingPoint, Scapy, or Snort/Suricata traffic generators)."

●    Understanding of continuous integration/continuous deployment (CI/CD) pipelines and version control systems like Git.

●    Strong communication skills for documenting test results and interacting with cross-functional teams.

●    Excellent analytical skills, attention to detail, and problem-solving ability.

●    Ability to work independently as well as collaboratively in a team environment.

●    A curious mindset with a willingness to quickly learn new technologies and testing tools.

Required Skills & Qualifications

●    Familiarity with cloud-based testing environments (GCP, AWS, Azure).

●    Experience with cybersecurity products or cloud services or IDP or Web UI

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.

• 12 - 16 years of experience in Enterprise Software Product Engineering (Development/Quality) 
• Working experience with Enterprise SaaS product companies 
• 6+ years of experience in leading/managing multi-discipline activities - manual, automation, performance and security testing. 
• Experience with AI powered test automation frameworks like Playwright, TestRigor etc is preferable. 
• Experience with security and performance testing tools like BurpSuite, Locust, K6 etc   
• Strong experience in generating and presenting data/metric driven reports to exec/C-level stakeholders. 
• Self drive to achieve team and organization goals with high ROI 
• Result oriented collaborator and enabler of success. 
• Preferred: 
• Enterprise software experience withing the Life Sciences industry and good understanding of GxP requirements 
• Knowledge of cloud native, distributed architecture 

Responsibilities:

• Lead the overall strategy, execution, reporting of ValGenesis’s platform/integration testing activities 
• Own the strategic vision and establish the Software QA processes, tools, frameworks. Ensure, Monitor and Measure of the same in terms of rollout, adoption, results. 
• Change advocate of lean and efficient working – Processes, Tools, Resources. 
• Work with the engineering and cross-functional leaders along with the developers/testers to achieve continuous and incremental quality improvement across all products. 
• Own and deliver automation, security, performance testing frameworks/tools/strategies.  
• Enable the adoption of such tools/frameworks during development phase. 
• Build tools to monitor and generate metrics of all QA activities - test definition, execution, results, production incidents etc. 
• Build a strategy and deliver capabilities to fully automate computer software validation for all product releases. 
• Build and sustain high performance teams – Hiring, Performance and Talent Management 

Supercharge Your Career as a QA Lead at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

Role: QA Lead

Location: Hyderabad, India 

Experience Level: 10+ Years

Employment Type: Full-Time

What’s in it for You?

Technoidentity is seeking a high-performing QA Lead to drive end-to-end quality engineering, test architecture, and performance strategies across enterprise Web and API applications. In this role, you will bridge technical execution and delivery leadership—owning the automation framework architecture (Playwright), leading load and stress testing strategies (JMeter/k6), and mentoring a high-performing team of QA engineers.

What Will You Be Doing?

​

Technical Leadership & Architecture

• Framework Design & Strategy: Architect, scale, and maintain robust, scalable UI and API automation frameworks using Playwright with TypeScript/JavaScript/Java.
• Performance Engineering: Define performance test strategies, workload models, and SLAs for Load, Stress, Spike, and Endurance testing using JMeter or k6.
• CI/CD & DevOps Integration: Integrate test suites seamlessly into DevOps pipelines (GitHub Actions, GitLab CI, or Jenkins) to facilitate continuous testing and shift-left practices.
• AI & Innovation: Lead the exploration and adoption of AI-powered QA tools and generative AI workflows to optimize test generation, execution speed, and coverage.

Delivery & Stakeholder Management

• Quality Ownership: Define quality metrics, test strategy documents, and performance benchmarks (Response Time, Throughput, Resource Utilization).
• Cross-Functional Collaboration: Partner closely with Architects, Developers, DevOps, and Product Managers to identify root causes, troubleshoot performance bottlenecks, and recommend system tuning.
• Reporting & Visibility: Prepare executive dashboards, performance analysis reports, and release quality sign-offs for client stakeholders.

Team Enablement & Governance

• Mentorship: Lead, code-review, and mentor QA engineers, setting coding standards for automation scripts.
• Agile Execution: Manage sprint planning, effort estimation, and task allocation for testing deliverables in Jira.

What Sets You Apart

• Client-Facing Presence: Excellent verbal and written communication with demonstrated experience managing executive stakeholders and international clients.
• Strategic Problem-Solving: Ability to evaluate architecture, identify system bottlenecks, and suggest actionable performance tuning rather than just reporting errors.
• Self-Driven Leadership: Proactive mindset with a history of taking full ownership of enterprise delivery quality.

Requirements

What Makes You the Perfect Fit?

• Experience: 10+ years in Quality Engineering, with 5+ years leading QA teams or functioning as a Lead Engineer.
• UI & API Automation: Deep hands-on proficiency in Playwright paired with TypeScript, JavaScript, or Java.
• Performance Testing: Solid experience designing and executing performance tests using Apache JMeter or k6, including analyzing server metrics (CPU, Memory, Network) and identifying bottlenecks.
• Tech Stack: Hands-on experience with REST API testing (Postman, Rest Assure, or Playwright API), Git, Docker, and CI/CD tools.
• Test Management: Strong mastery of Agile practices, test management tools (Jira/Xray/Zephyr), and defect lifecycle management.

Benefits

Why Join Technoidentity?

• Work on high-impact, enterprise-scale, cloud-native solutions.
• Lead innovations at the intersection of Performance Engineering and AI-driven testing.
• Collaborative culture focused on continuous learning, mentorship, and accelerated career growth

About Us

We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.

What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.

Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.

About the Role

We are looking for a QA Engineer who specializes in testing agentic AI platforms. You will design and automate quality processes for systems that involve LLMs, autonomous agents, tool use and orchestration across Lumen and Agent Studio — ensuring that AI-driven workflows behave reliably, safely and predictably in production, not just in a demo.

What You’ll Do

• Design and build automated test suites and evaluation frameworks for agentic AI workflows, including multi-step and tool-calling behaviors.
• Use AI/LLM-based QA tools and evaluation frameworks to test model outputs, agent decisions and end-to-end task completion at scale.
• Define quality metrics and benchmarks for agent reliability, correctness, latency and safety, and track them over releases.
• Identify edge cases, failure modes and regressions specific to non-deterministic AI systems, and build automated checks to catch them early.
• Integrate automated agent/LLM testing into CI/CD pipelines to support fast, reliable iteration.
• Partner closely with AI/ML and backend engineers to reproduce issues, root-cause failures and validate fixes.
• Work with customers and customer-facing teams to understand real-world usage patterns and translate them into test scenarios.

What We’re Looking For

• 2–4 years of QA/test automation experience, including hands-on work testing agentic AI or LLM-based platforms.
• Practical experience using AI-focused QA/evaluation tools to test agent behavior, prompts and model outputs.
• Strong scripting/automation skills (Python preferred) to build and maintain test frameworks.
• Understanding of how LLM-based agents work — tool calling, orchestration, memory, reasoning chains — well enough to design meaningful test cases.
• Comfort working with non-deterministic systems and designing evaluation approaches beyond traditional pass/fail testing.
• Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.

Good to Have

• Experience testing voice AI or real-time conversational systems.
• Familiarity with CRM or enterprise SaaS platforms.
• Exposure to enterprise security or compliance testing for AI systems.

Senior QA Engineer

Make quality part of the engineering system.

AbleCredit builds software for complex enterprise workflows where AI, APIs, business rules, human decisions, and real-world operations have to work together reliably. We care about building products that work in production - not just in demos. We're looking for a senior quality engineer who can move quality upstream: from release-time testing to better automation, contracts, observability, and engineering practices.

What You'll Own?

• Own quality strategy across web, mobile, backend APIs, integrations, and end-to-end workflows.

• Design and maintain automated regression suites for critical customer journeys.

• Build API, integration, contract, and workflow tests that catch failures before production.

• Partner with engineering and product teams during design - not only after development is complete.

• Define release readiness, risk-based testing, and production validation practices.

• Investigate escaped defects, identify systemic causes, and drive preventive improvements.

• Improve test data, environments, tooling, and CI integration so teams can ship confidently.

What We're Looking For?

• 5+ years in software quality engineering or test automation.

• Strong API and backend testing experience, including asynchronous and integration-heavy systems.

• Experience testing mobile and web applications and understanding client/ server failure modes.

• Ability to write automation in JavaScript/ TypeScript, Python, Java, or a similar language.

• Strong debugging skills across logs, network requests, databases, and distributed services.

• Experience with CI/CD and integrating automated tests into release pipelines.

• A product mindset: prioritize risk and customer impact rather than maximizing test-case counts.

Nice to Have

• Performance, load, security, or reliability testing.

• Experience with Playwright, Cypress, Appium, Postman/ Newman, k6, or similar tooling.

• Experience with event-driven systems, queues, webhooks, and long running workflows.

• Experience testing AI-assisted or non-deterministic product behavior.

How We Think About Quality?

Quality is an engineering responsibility. Automation should create confidence, not dashboards. A production escape should improve the system that allowed it to happen. The goal is simple: ship quickly without making customers our test environment.

Strong QA Engineer Profile with manual + automation testing across web, API, and AI-driven features

2

Mandatory (Experience 1): Must have 2+ years in QA / software testing, covering both manual and automation testing

3

Mandatory (Experience 2): Must have experience designing, writing, and maintaining test plans, test cases, and test data for web, API, and AI-driven features

4

Mandatory (Experience 3): Must have experience performing functional, regression, integration, and exploratory testing across releases

5

Mandatory (Tech skill 1): Must have hands-on automation experience with a framework such as Selenium, Playwright, Cypress, or similar

6

Mandatory (Tech skill 2): Experience testing AI/ML or data products (validating accuracy, consistency, edge cases, bias, graceful failure handling)

7

Mandatory (Tech skill 3): Must have API testing experience with tools like Postman, REST Assured, or equivalent, and experience testing REST APIs and data pipelines

8

Mandatory (Tech skill 4): Must have working knowledge of Python, JavaScript, or Java for test automation

9

Mandatory (Tech skill 5): Must have SQL and data skills — able to write queries to validate data and back-end behaviour

10

Mandatory (Skill 1): Must have a strong grasp of QA methodologies, SDLC/STLC, and Agile/Scrum practices.

11

Mandatory (Skill 2): Must have an analytical mindset with sharp attention to detail and clear defect communication

12

Mandatory (Skill 3): Must have strong communication skills

13

Preferred (CI/CD): Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions)

14

Preferred (Domain): Cloud/AWS and insurance domain exposure

Strong QA Engineer Profile with manual + automation testing across web, API, and AI-driven features

2

Mandatory (Experience 1): Must have 2+ years in QA / software testing, covering both manual and automation testing

3

Mandatory (Experience 2): Must have experience designing, writing, and maintaining test plans, test cases, and test data for web, API, and AI-driven features

4

Mandatory (Experience 3): Must have experience performing functional, regression, integration, and exploratory testing across releases

5

Mandatory (Tech skill 1): Must have hands-on automation experience with a framework such as Selenium, Playwright, Cypress, or similar

6

Mandatory (Tech skill 2): Experience testing AI/ML or data products (validating accuracy, consistency, edge cases, bias, graceful failure handling)

7

Mandatory (Tech skill 3): Must have API testing experience with tools like Postman, REST Assured, or equivalent, and experience testing REST APIs and data pipelines

8

Mandatory (Tech skill 4): Must have working knowledge of Python, JavaScript, or Java for test automation

9

Mandatory (Tech skill 5): Must have SQL and data skills — able to write queries to validate data and back-end behaviour

10

Mandatory (Skill 1): Must have a strong grasp of QA methodologies, SDLC/STLC, and Agile/Scrum practices.

11

Mandatory (Skill 2): Must have an analytical mindset with sharp attention to detail and clear defect communication

12

Mandatory (Skill 3): Must have strong communication skills

13

Preferred (CI/CD): Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions)

14

Preferred (Domain): Cloud/AWS and insurance domain exposure

About Us

Invorto is our Voice AI product, bringing intelligent voice agents to real-world customer and operational use cases. Our voice pipeline is built in Python, running an STT → LLM → TTS architecture on top of the Pipecat framework.

This is a chance to work on hard problems in voice AI — latency, accuracy, naturalness, and reliability — building zero-to-one, owning your area end-to-end, and shipping to production at scale.

Note: This is a customer-facing role, and strong communication skills are essential.

About the Role

We're looking for a Voice AI Research Engineer to join the Invorto team and help build and continuously improve the voice AI systems that power our intelligent voice agents. This role is focused on the specialized craft of voice AI — designing evaluation and automation frameworks that ensure our STT, LLM, and TTS pipeline performs reliably in real-world, production conditions.

What You'll Do

• Design and build automated testing and quality frameworks for our STT → LLM → TTS voice pipeline, built on Pipecat
• Evaluate and benchmark STT, LLM, and TTS/ASR components on accuracy, latency, naturalness, and robustness across accents, languages, and real-world audio conditions
• Work hands-on with STT, TTS, and ASR models — fine-tuning, evaluating, and improving them for production use cases
• Identify failure modes and edge cases across the pipeline (background noise, accents, interruptions, turn-taking, latency, pipeline-stage handoffs) and build systems to catch them before production
• Collaborate closely with engineering to integrate quality checks and automation into the voice agent development lifecycle within the Pipecat-based architecture
• Research and stay current with advances in voice AI, and bring in new techniques, models, and tools to improve pipeline performance
• Work directly with customers to understand real-world voice use cases and translate them into evaluation criteria and quality benchmarks
• Partner with product and engineering to define what "production-grade quality" means for voice agents and drive the team toward it

What We're Looking For

• 4–6 years of experience, with a specialization in voice AI systems and automated quality evaluation
• Hands-on experience with STT (Speech-to-Text), TTS (Text-to-Speech), and ASR (Automatic Speech Recognition) models
• Experience designing and building automated testing/evaluation frameworks for voice or speech systems
• Strong understanding of what drives voice AI quality — accuracy, latency, naturalness, and robustness to real-world variability
• Strong programming skills in Python; familiarity with Pipecat or similar voice pipeline/orchestration frameworks is a plus
• Understanding of STT → LLM → TTS pipeline architectures and the trade-offs involved at each stage
• Research mindset — comfortable exploring new models, techniques, and tools and translating them into practical improvements
• Excellent communication skills — this is a customer-facing role, and you'll regularly engage directly with customers to understand needs and validate quality expectations

Job Description

CANDIDATES WITH MINIMUM 7 YEARS OF EXPERIENCE IN QC Automation NEED APPLY.

We are looking for immediate joiners

No work from home option.

Position Title: QC Automation Lead/Manager

Position Type: Full Time, Permanent

Department: Research and Development

Reports to: Manager, Indian Development Centre.

Company Background:

-CGLIA is a software development company building highly available, highly secure, cloud-based enterprise software products that helps speed the research process resulting in new drugs, new devices, and new treatments to improve the health and wellbeing of world population.

- At CGLIA, our work shows our dedication and passion for innovative quality software products that are intuitive and easy to use and exceeds every aspect of customer expectations.

- CGLIA, is the place that develops world-class professionals who would like to be innovative, creative, learn continuously, and build a solid foundation to build products that are special and delight the customer. .

Job Summary:

The QC Manager is a seasoned technologically savvy leader with passion for quality delivery of new products and help us grow. Managing multiple product testing teams and works closely with the Product Management teams, US team, Sales and Marketing and customer support teams in understanding the quality delivery needs.

In this role, you will be hiring the new development staff, mentoring, coaching and building development plans, oversee each aspect of the quality assurance process, and act as a liaison between development team and upper management.

In this role, You will lead and coordinate Test Automation team in all aspects of automation and take ownership of the current automation, recommends new technology, policies or processes to benefit the organization and improve deficiencies.

A demanding job that challenges your intellectual abilities in recommending, defining and implementing the best practices on TDD and BDD in automation testing.

Responsibilities:

· Develop Automation Process, Procedures, Metrics and Analysis.

· Design and maintain Automation frameworks.

· Make sure the rest of the teams have the tools to create automated tests in a structured way.

· Explain and teach basic coding standards for more junior members of the team.

· Perform manual testing to understand features and architecture of our products.

· Review and regulate progress (schedule, cost, quality etc.) and meet performance objectives as per the

project plans.

· Prepare and circulate important test metrics to stakeholders.

· You will also be required to carry out any other duties which may reasonably be required of you.

Qualifications & Skills required:

· Experience of 7-10 years and should be able to define test goals & objectives (Test Strategy & Test Planning)

· Should have good programming skills in Java

· Should have very good knowledge in both Selenium and Java

· Good knowledge in Maven & TestNG

· Good knowledge in TDD, BDD

· Expert in automating tests and building frameworks from the scratch

· Experienced in Manual Testing (Performance, regression, API, database, security and sanity testing.)

· Good OS knowledge (Windows, Linux, OSX)