The Role:

We are looking for a Staff Product Manager for the Merchant Experience Platform within our Omnichannel Fulfillment division. As the PM for this critical platform, you will define and deliver a world-class, seamless merchant experience across the entire journey, from self-serve onboarding and platform configurations to transparent billing and effortless payments. Your mission is to build a fast, intuitive, and reliable platform that serves as the single source of truth for our merchants and powers their success across our logistics ecosystem.

Key Responsibilities:

• Platform Vision & Strategy: Define the multi-year roadmap for the Merchant Experience Platform, encompassing onboarding, integrations, configuration, billing, and payments.
• End-to-End Merchant Journey: Own the experience flow from a merchant's first interaction, through system configuration and data setup, to their ongoing financial transactions and reporting.
• Merchant System Integration Strategy: Drive the strategy for seamlessly integrating with external merchant technologies, including ERP systems (like NetSuite) and e-commerce platforms, ensuring robust data exchange and workflow integrity.
• Billing & Payments Automation: Drive the strategy and execution for automated payment solutions, revenue recognition, and reliable financial reporting.
• Cross-Functional Leadership: Partner with Engineering, Finance, Operations, and Sales to ensure a friction-less merchant journey and accurate financial outcomes.
• Product Leadership & Mentorship: Act as a subject matter expert who coaches and mentors Senior and IC PMs on complex systems thinking, financial modeling, and platform architecture design.

Minimum Qualifications:

• Experience: 8+ years in Product Management, preferably within Logistics Tech, SaaS Integrations, Fintech.
• Technical Proficiency: Deep understanding of APIs, ERP integrations, and financial reconciliation workflows.
• Systems Thinking: You can map out how a physical action in a warehouse triggers reconciliation with a merchant system or triggers a financial event for billing.
• Analytical Rigor: Proven ability to conduct deep quantitative analysis, create complex data models, and use data to diagnose root causes and quantify business impact.
• Problem-Solving Grit: Logistics is messy. You need the ability to find elegant, automated solutions for edge cases and "broken" data.
• Communication: The ability to explain complex financial logic to a software engineer and high-level business impact to a CFO.
• Demonstrated ability to drive results in complex, regulated industries (Logistics, Fintech, Healthcare, etc.).
• Experience owning a product roadmap and delivering measurable business impact (e.g., revenue growth, efficiency gains).

Why This Challenge Matters:

The Merchant Experience Platform is the gateway to Flexport's logistics ecosystem. By owning the entire journey—from an effortless onboarding and configuration process to reliable, transparent billing and payments—you are directly impacting Flexport’s bottom line, driving merchant adoption, and removing the friction that holds global trade back.

Bonus Points if you have:

• Experience with NetSuite, Stripe, or high-volume transactional billing systems.

Why Flexport:

At Flexport, we’re building the future of global trade. Our product team is at the heart of this transformation, driving solutions that have a direct impact on our customers and the logistics industry. We foster a culture of innovation, inclusivity, and continuous learning, giving you the opportunity to work on meaningful, impactful projects while supporting your professional growth.

What's in it for you?

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment
• Competitive salary and equity options
• Daily catered lunches, breakfast, snacks and soft drinks available in our office on daily basis
• Comprehensive health and wellness benefits.
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Collaborative, inclusive, and diverse work culture.

Flexport is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or veteran status.

#LI-hybrid

About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

Position Summary:

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives,  and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping -  Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency. 

Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency

Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets

Qualifications: 

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management  or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance.

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

Position Summary:

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives,  and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping -  Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency. 

Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency

Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets

Qualifications: 

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management  or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance.

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

Greetings From Zeta Global !!

Requirements:

• Education:
• B.S. or M.S. in Computer Science or a related field.

• Experience:
• 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
• 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
• Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
• Web application testing experience required both in frontend and backend validations.
• Experience working in a fast-paced technology environment.

• Technical Skills:
• Knowledge and experience with Robot Framework and its libraries using Python.
• Strong proficiency in Python programming.
• Knowledgeable in Git workflows like branching, merging, and conflict resolution.
• Solid understanding of SDLC and Agile testing methodologies.
• Experience with Atlassian tools such as Jira and Confluence preferred.
• Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
• Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
• Experience working with container-based solutions is a plus.

• Soft Skills:
• Strong communication and interpersonal skills.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability and desire to learn new skills and take on new tasks.

Responsibilities:

• Testing and Automation:
• Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
• Continuously improve the test automation strategy to enhance test coverage and efficiency.
• Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
• Automate tests to ensure functional requirements and performance KPIs are met.
• Ensure high product quality through rigorous functional and API level tests.

• Collaboration and Mentorship:
• Understand business requirements independently and cooperatively.
• Mentor and guide other QA engineers on best practices in test automation.
• Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.

• Development and Documentation:
• Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
• Develop comprehensive test plans covering business use cases and test cases.
• Identify, record, document thoroughly, and track bugs.
• Perform thorough regression testing when bugs are resolved.

Company Summary

 Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

The Audience Syndication Specialist will ensure the successful implementation and tracking of audience syndication to meet campaign objectives.

They will play a crucial role in executing media strategies by creating, managing, and syndicating 1st party (1P) and 3rd party (3P) audiences across various digital platforms. This role requires excellent communication skills, the ability to troubleshoot audience-related issues, and collaboration with media team members across programmatic, social, and search channels.

Shift Timing: 6.30 PM IST - 2.30 AM IST (EST Hours)

Job Location: Bangalore (Remote works as well)

Key Responsibilities:

• Understand the fundamental for creating 1P and 3P audiences as defined by media strategies and supporting tactics.
• Document audience components in the audience tracker, including:
  • Audience name
  • Audience size
  • Platform syndication
  • Frequency of syndication
• Monitor ZMP (Zeta Marketing Platform) to ensure proper audience syndication.
• Syndicate audiences** to digital platforms and ensure they align with campaign strategies.
• Communicate with media team members (programmatic, social, and search) when appropriate, including:
  • Audience name
  • Date of syndication
• Ensure audience syndication happens as planned, making necessary extensions if required.
• Conclude audience syndication by stopping syndication when it is no longer needed.
• QA and troubleshoot audience errors, addressing issues promptly to minimize disruptions.
• Input and update tickets, including escalations as necessary.
• Collaborate with media leads to address questions and provide clarity on audience syndication.
• Perform manual updates for Bing syndication when contracts include this requirement.

Required Skills & Qualifications:

• Strong project management and communication skills
• Excellent written and verbal communication skills
• Experience in digital marketing with familiarity with programmatic, social, and search platforms.
• Excellent troubleshooting and communication skills.
• Ability to manage multiple tasks in a fast-paced environment.
• Flexible and adaptable to changing circumstances
• Skilled in Microsoft Excel

Company Summary:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

LivePerson (NASDAQ: LPSN) is a leading customer engagement company, creating digital experiences powered by Curiously Human AI. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

You'll be successful at LivePerson if you are excited to build something from the ground up. You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business. Likewise, you're someone who sees feedback as a chance to learn and grow and believe decisions powered by data are the norm. You care about the well-being of others and yourself.

Job Description: Site Reliability Engineer (Platform Engineer) Mid Level (L2) 

Location: India (Remote- Bangalore)

Overview:

We are seeking a Mid-Level Site Reliability Engineer (SRE) to join our global Platform Engineering team. As an SRE, your primary responsibility is to ensure that our platform is reliable, scalable, and performant. You’ll be the bridge between development and operations — designing automation, improving observability, and maintaining the health of our production systems. You should have what it takes to ask the right questions, identify potential risks early, and raise flags when necessary to maintain a culture of reliability and continuous improvement.

You will: 

• Collaborate closely with Developers, QA, and Product teams during sprint planning to understand release plans, dependencies, and infrastructure requirements.
• Participate in the application release cycle, ensuring deployments are automated, consistent, and reliable.
• Manage and operate Kubernetes clusters in Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS).
• Develop and manage Terraform modules for provisioning and configuring cloud infrastructure across GCP and AWS.
• Standardize service deployments using Helm for templating and versioned releases.
• Build and enhance observability with Prometheus, Grafana, and Datadog to monitor application and platform performance.
• Design, implement, and maintain GitLab CI/CD pipelines for build, test, and deployment automation.
• Drive an automation-first culture by developing scripts and tooling in Python, Go, or Shell to minimize manual effort and improve efficiency.
• Participate in a 24/7 on-call rotation, ensuring quick detection, mitigation, and resolution of incidents.
• Perform root cause analysis (RCA) and contribute to post-incident reviews to prevent recurrence.
• Proactively identify reliability or scalability gaps, raise early warnings, and partner with teams to address systemic risks.

You have: 

• 5-8 years of experience as a Site Reliability Engineer, Platform Engineer, or DevOps Engineer.
• Hands-on experience managing Kubernetes clusters (GKE, EKS) in GCP and AWS.
• Strong knowledge of Terraform, Helm, and GitLab CI/CD pipelines.
• Proficiency in Python, Go, or Shell scripting for automation and tooling.
• Experience implementing and managing observability stacks (Prometheus, Grafana, Datadog).
• Deep understanding of Linux systems, cloud networking, and container orchestration concepts.
• Experience working in Agile/Scrum environments and partnering closely with developers.
• Excellent analytical skills with a proactive attitude — able to question assumptions and escalate potential risks early.

Good to Have

• Experience with ArgoCD or Flux (GitOps-based workflows).
• Familiarity with service mesh (Istio, Linkerd) or API gateways.
• Knowledge of cloud cost optimization, autoscaling, or security best practices.
• Experience with incident management tools such as PagerDuty, ServiceNOW

Why Join Us

• Build and operate modern cloud-native platforms using Kubernetes, Terraform, GitLab, Datadog, and Grafana.
• Be part of a global SRE team that values automation, reliability, and innovation.
• Work in a collaborative culture that encourages ownership, learning, and continuous improvement.
• Enjoy flexible working arrangements, competitive compensation, and career growth opportunities including certifications and mentorship.

Why you’ll love working here: 

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. 

• Benefits: 15 Days PTO + Casual & Sick Leave
• Insurance: 8 Lakhs Family Floater Coverage; Personal Accident & Life Insurance: 3x of Gross Annual Salary*

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information.  This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address.

LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

About the Role:

We're looking for an experienced FreeSWITCH Developer / VoIP Software Engineer to design, develop, and maintain the telephony solutions that power Vonage's call processing platform. You'll build real-time voice communication systems that handle millions of calls, developing features like call processing, recording, voicemail, conferencing, and external service integrations. This is a critical role where your work directly impacts business communications for customers worldwide.

What You'll Do

Core Responsibilities

• Build scalable telephony systems — Design and develop distributed, high-volume production telephony applications for our UCaaS platform that handle real-time voice traffic at scale
• Develop custom FreeSWITCH solutions — Create custom modules, dialplan configurations, and ESL (Event Socket Library) integrations for advanced call control and automation
• Deliver advanced telephony features — Implement call recording, voicemail transcription, fax processing, audio streaming, and other mission-critical voice features
• Rapid prototyping to production — Build proof-of-concepts quickly and evolve them into production-ready, maintainable code
• Drive technical innovation — Evaluate emerging telephony technologies and recommend architectural improvements that enhance our platform capabilities
• Mentor and lead — Guide team members on design patterns, best practices, and telephony architecture decisions

Day-to-Day Collaboration

• Participate in the full agile development lifecycle: sprint planning, design reviews, standups, and demos
• Respond promptly to production incidents affecting customers and business operations
• Work independently on end-to-end feature delivery while contributing to broader team goals
• Partner closely with Product Management, QA, and Operations teams to deliver cohesive solutions
• Communicate progress, blockers, and technical decisions clearly with engineering leadership

What You'll Bring

Required Experience & Skills

Telephony & VoIP Expertise (Must-Have)

• 8+ years of software development experience
• 5+ years hands-on experience with telephony platforms: FreeSWITCH, Asterisk, or similar open-source PBX systems
• Deep understanding of:
• SIP (Session Initiation Protocol) and RTP protocols
• VoIP architecture and NAT traversal techniques (STUN, ICE, TURN)
• Audio codecs (G.711, Opus, etc.)
• Dialplan development and call flow design

Programming & Development

• Strong proficiency in Java, C/C++, Python, and SQL
• Experience with CI/CD pipelines and modern development workflows
• Infrastructure as Code practices
• Containerization with Docker and Kubernetes

Cloud & Infrastructure

• Hands-on experience with AWS services: EC2, EKS, Lambda, S3, SNS, SQS, CloudFront
• Linux systems expertise: performance tuning, networking, file systems
• Database experience with:
• Relational: MySQL, PostgreSQL
• NoSQL: Redis, MongoDB

Problem-Solving & Debugging

• Proven troubleshooting skills in complex, distributed production environments
• Systematic debugging approach for real-time communication systems
• Experience analyzing performance bottlenecks and system failures

Nice to Have

• Experience with WebRTC
• Familiarity with Kamailio, OpenSIPS, or other SIP proxies
• Knowledge of PSTN interconnection and carrier integrations
• Previous UCaaS or CPaaS platform experience
• Contributions to open-source telephony projects
• Experience with monitoring and observability tools (Prometheus, Grafana, Datadog)

Why This Role Matters

As a FreeSWITCH Developer at Vonage, you'll work on voice infrastructure that powers critical business communications globally. Your code will directly enable features that millions of users depend on daily, and you'll have the opportunity to shape the architecture of next-generation voice platforms.

Work Style

• Ownership mindset — Take features from concept to production
• Collaborative approach — Work across teams while driving your work independently
• Customer focus — Balance feature velocity with reliability and user experience
• Continuous improvement — Stay current with telephony trends and share knowledge with the team

#LI-CK1

We're looking for an experienced FreeSWITCH Developer / VoIP Software Engineer to design, develop, and maintain the telephony solutions that power Vonage's call processing platform. You'll build real-time voice communication systems that handle millions of calls, developing features like call processing, recording, voicemail, conferencing, and external service integrations. This is a critical role where your work directly impacts business communications for customers worldwide.

What You'll Do

Core Responsibilities

• Build scalable telephony systems — Design and develop distributed, high-volume production telephony applications for our UCaaS platform that handle real-time voice traffic at scale
• Develop custom FreeSWITCH solutions — Create custom modules, dialplan configurations, and ESL (Event Socket Library) integrations for advanced call control and automation
• Deliver advanced telephony features — Implement call recording, voicemail transcription, fax processing, audio streaming, and other mission-critical voice features
• Rapid prototyping to production — Build proof-of-concepts quickly and evolve them into production-ready, maintainable code
• Drive technical innovation — Evaluate emerging telephony technologies and recommend architectural improvements that enhance our platform capabilities
• Mentor and lead — Guide team members on design patterns, best practices, and telephony architecture decisions

Day-to-Day Collaboration

• Participate in the full agile development lifecycle: sprint planning, design reviews, standups, and demos
• Respond promptly to production incidents affecting customers and business operations
• Work independently on end-to-end feature delivery while contributing to broader team goals
• Partner closely with Product Management, QA, and Operations teams to deliver cohesive solutions
• Communicate progress, blockers, and technical decisions clearly with engineering leadership

What You'll Bring

Required Experience & Skills

Telephony & VoIP Expertise (Must-Have)

• 6+ years of software development experience
• 3+ years hands-on experience with telephony platforms: FreeSWITCH, Asterisk, or similar open-source PBX systems
• Deep understanding of:
• SIP (Session Initiation Protocol) and RTP protocols
• VoIP architecture and NAT traversal techniques (STUN, ICE, TURN)
• Audio codecs (G.711, Opus, etc.)
• Dialplan development and call flow design

Programming & Development

• Strong proficiency in Java, C/C++, Python, and SQL
• Experience with CI/CD pipelines and modern development workflows
• Infrastructure as Code practices
• Containerization with Docker and Kubernetes

Cloud & Infrastructure

• Hands-on experience with AWS services: EC2, EKS, Lambda, S3, SNS, SQS, CloudFront
• Linux systems expertise: performance tuning, networking, file systems
• Database experience with:
• Relational: MySQL, PostgreSQL
• NoSQL: Redis, MongoDB

Problem-Solving & Debugging

• Proven troubleshooting skills in complex, distributed production environments
• Systematic debugging approach for real-time communication systems
• Experience analyzing performance bottlenecks and system failures

Nice to Have

• Experience with WebRTC
• Familiarity with Kamailio, OpenSIPS, or other SIP proxies
• Knowledge of PSTN interconnection and carrier integrations
• Previous UCaaS or CPaaS platform experience
• Contributions to open-source telephony projects
• Experience with monitoring and observability tools (Prometheus, Grafana, Datadog)

Why This Role Matters

As a FreeSWITCH Developer at Vonage, you'll work on voice infrastructure that powers critical business communications globally. Your code will directly enable features that millions of users depend on daily, and you'll have the opportunity to shape the architecture of next-generation voice platforms.

Work Style

• Ownership mindset — Take features from concept to production
• Collaborative approach — Work across teams while driving your work independently
• Customer focus — Balance feature velocity with reliability and user experience
• Continuous improvement — Stay current with telephony trends and share knowledge with the team

• Design, develop, and maintain backend systems and frontend applications for TRG Screen products. 
• Participate in the full Software Development Life Cycle (SDLC), including requirements analysis, design, implementation, testing, deployment, and post-release support. 
• Develop backend services using Java and microservices architecture, ensuring scalability and reliability. 
• Develop frontend applications using Angular and TypeScript, converting UI/UX designs into responsive, interactive interfaces. 
• Integrate front-end applications with backend APIs (RESTful services). 
• Troubleshoot, debug, and resolve complex software issues across the stack. 
• Contribute to architecture discussions, coding standards, and reusable components. 
• Collaborate effectively with product managers, QA, UX designers, and other stakeholders. 
• Produce technical documentation such as design specifications, release notes, and runbooks. 
• Mentor junior engineers and support knowledge sharing across the team. 

• 5+ years of professional experience as a Full Stack Developer (Java + Angular). 
• Strong experience developing enterprise-grade backend systems using Java, Spring Boot, and REST APIs. 
• Hands-on experience with Angular (v10+), TypeScript, and modern UI development practices. 
• Strong knowledge of Relational Databases and ORM frameworks (Hibernate/JPA). 
• Understanding of microservices architecture, design patterns, and scalability principles. 
• Experience with automated testing (unit, integration) and CI/CD pipelines. 
• Familiarity with Git, Docker, and cloud platforms (AWS or Azure). 
• Strong problem-solving and debugging skills across frontend and backend. 
• Excellent communication and collaboration skills. 
• Ability to write clear technical documentation and participate in design discussions. 

• Exposure to cloud platforms (AWS/Azure). 
• Experience with CI/CD pipelines, DevOps practices 
• Familiarity with financial services or research technology domains. 
• Experience using AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) to enhance productivity and code quality. 
• Mentorship experience—guiding junior engineers and contributing to team knowledge sharing. 

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

Curious about what makes Moniepoint an incredible place to work?
Check out posts on how we cultivate a culture of innovation, teamwork, and growth.. 

About the role

We are seeking a highly skilled Lead Testing Tools Development Engineer to design, develop, and maintain advanced testing frameworks and automation tools. This role focuses on building scalable, reusable, and integrated testing infrastructure that supports functional, performance, and security testing across diverse platforms and environments.
.

What you’ll get to do

Tool Development & Framework Design:

• Design & implement custom test automation frameworks for functional, performance, and security testing
• Develop reusable libraries, plugins, and CLI tools to support test execution, reporting, and integration with CI/CD pipelines
• Build scalable test harnesses for distributed systems, microservices, mobile native and cloud SaaS applications.

Automation & Scripting:

• Write robust, maintainable code in Java, JavaScript/TypeScript to automate test workflows.
• Integrate tools with version control systems (Git), CI/CD platforms (Jenkins, Harness), and artifact repositories

DevOps & Infrastructure Integration:

• Containerize tools using Docker and orchestrate test environments using Kubernetes
• Implement observability into test tools using New Relic, Grafana, ELK Stack

Collaboration & Enablement:

• Partner with QE, SRE/DevOps, and development teams to understand testing pain points and deliver tooling solutions.
• Provide governance model, documentation, training, and support to enable teams to adopt and extend testing tools effectively.

Innovation & Continuous Improvement:

• Evaluate and adopt emerging technologies in the testing ecosystem.
• Contribute to internal best practices for test automation, tool development, & quality engineering.
• Familiarity with AI/ML-based test generation or test impact analysis.
• Background in developer experience (DevEx) or internal platform engineering
  
  

To succeed in this role, we think you should have

• 12+ years of experience in Quality Engineering and Tools development or similar role.
• Bachelor’s degree in computer science or a related engineering discipline.
• Strong programming skills in Java with a focus on tooling and automation.
• Proficiency in extending and customizing open-source tools such as.
  • Functional/UI Testing: Selenium, Playwright, Cypress, Appium
  • API Testing: Postman/Bruno, REST Assured, Karate
  • Performance Testing: JMeter, K6, Gatling, Locust
  • Security Testing: OWASP ZAP, Burp Suite, Nmap, Nessus
• Experience Integrating testing tools with
  • Test Management & Issue Tracking: Jira, Qmetry
  • Reporting & Analytics: ReportPortal, Allure, ExtentReports, Grafana
  • CI/CD Pipelines: Jenkins, Harness, ArgoCD, GitLab, SonarQube
  • Device Farms: BrowserStack, LambdaTest for cross-platform and mobile testing
• Experience with test data management, mocking frameworks, and service virtualization tools such as WireMock, Hoverfly, or Mockito
• Strong command of relational (SQL) and non-relational (NoSQL) databases, along with experience in publish-subscribe messaging systems like Kafka.
• Solid understanding of RESTful APIs, gRPC, WebSockets, & event-driven or asynchronous architectures
• Hands-on experience with leading cloud platforms - Google Cloud Platform (GCP), and expertise in Kubernetes for container orchestration.
• Proficient in working within Linux/Unix-based environments, including shell scripting and system-level debugging.
• Well-versed in Agile/Scrum/Kanban methodologies, with a focus on iterative development and continuous delivery.
• Demonstrated ability in problem-solving, root cause analysis, and debugging complex systems across the stack.
• Excellent communication and collaboration skills, with a proven track record of working effectively in cross-functional teams.

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary call with the recruiter
• A call with the Hiring Manager
• A technical Interview with members of the Engineering Team 
• A technical Interview with a members of the QA Team
• A behavioral and technical interview with a member of the Executive team. 
• All Interview stages are Virtual

Moniepoint is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

About Karya:

Why was Karya on the cover of the Time Magazine , highlighted by Satya Nadella , and chosen by Google as its partner for Project Vaani? 

In part, because Karya is on a mission to provide AI enabled earning and learning opportunities to economically underserved communities, thereby building a pathway out of poverty for them. Karya achieves this while also delivering high quality, timely, and price competitive data to its clients.

Karya’s workers make at least 20 times the Indian minimum wage and through our one-of-a-kind digital work platform, we have delivered over 40 million digital tasks and are poised to positively impact over 100 thousand workers by the end of the year. In the coming years, our goal is to rapidly scale our impact by bringing economic opportunities to millions of underserved users in India.

About the Role

We are looking for an Associate Product Manager who will work closely with cross-functional teams to build, improve, and scale products that deliver real user value. You will be involved in the end-to-end product lifecycle, from identifying opportunities to shipping features and measuring impact.

This role is ideal for someone early in their product career who is eager to learn, take ownership, and grow into a full Product Manager role.

Key Responsibilities

• Product Execution
• Translate product requirements into clear PRDS/user stories and acceptance criteria
• Work closely with engineering, design, and QA teams during sprint cycles
• Track progress and ensure timely delivery of features
• Contribute to product roadmap planning and trade-off discussions 
• Own and drive small features/modules end-to-end (from discovery to release and iteration)
• User Understanding
• Conduct user research, interviews, and usability testing
• Identify user pain points and translate them into actionable insights
• Data & Metrics
• Define and track key product metrics (e.g., engagement, retention, task completion)
• Analyze data to inform product decisions and prioritization
• Stakeholder Management
• Collaborate with internal teams (Ops, Engineering, Design, Business)
• Communicate product updates, timelines, and trade-offs clearly
• Product Discovery
• Assist in problem identification, solution ideation, and validation
• Contribute to PRDs, feature specs, and product documentation
• Continuous Improvement
• Identify inefficiencies in product workflows and suggest improvements
• Support experimentation (A/B testing, pilots, iterations)
• Identify opportunities to reduce manual operational effort through product and process improvements 

Requirements

• 1–3 years of experience in Product Management / Product Design / Engineering / other adjacent areas
• Strong problem-solving and analytical thinking
• Basic understanding of product lifecycle and agile methodologies (Scrum/Kanban)
• Ability to break down ambiguous problems into structured solutions
• Good communication and stakeholder management skills
• Ability to take ownership of small features/modules independently
• Ability to own small new or enhancements to features independently with guidance
• Working understanding of APIs, data flows, and system behavior to effectively collaborate with engineering, reason about trade-offs, and troubleshoot product issues
• Comfort working with data (SQL is a plus)
• Experience with tools like JIRA, Notion, Figma, or similar is a plus

Good to Have

• Prior experience in a startup or fast-paced environment
• Hands-on experience working in Agile/Scrum teams (participating in sprint planning, stand-ups, retros)
• Exposure to end-to-end product lifecycle (idea → PRD → design → development → release → iteration)
• Exposure to process improvement or automation (reducing manual ops effort)

What You’ll Gain

• Hands-on experience across the full product lifecycle
• Exposure to real world user problems and create real impact
• Opportunity to work closely with senior leaders
• A strong foundation to grow into a Product Manager role

What We Offer

• Flexible leave and vacation policy
• Hybrid work options
• Insurance as per industry standards
• Access to leaders in technology and social impact sectors
• A chance to contribute meaningfully to AI, digital equity, and rural development

Karya celebrates diversity and is an equal opportunity employer. All applicants will be considered without regard to race, religion, gender identity, sexual orientation, disability, or any other protected status.

If you need accommodations to apply, please contact us at hr@karya.in

Join us to shape how developers build mobile apps with Couchbase! You’ll design and develop SDKs, frameworks, sample apps, and developer tools that make it seamless for iOS and Android developers to integrate Couchbase and build offline-first, high-performance apps.

Location: Bangalore, India | Work Model: Hybrid

What You’ll Do

• Build and maintain mobile SDKs, APIs, and sample apps showcasing Couchbase best practices.
• Create tutorials, videos, and guides to simplify Couchbase integration.
• Collaborate with product and engineering teams to improve the developer experience.
• Apply modern architectures (MVVM, MVI, Clean Architecture) and native platform conventions.
• Contribute to CI/CD pipelines, automation, and SDK quality assurance.
• Act as a developer advocate, mentoring engineers and engaging with the community.

What You Bring

• 6–9 years of experience in Swift and Kotlin development.
• Deep understanding of platform internals, networking, and performance tuning.
• Experience with C native interop, REST/gRPC, and offline data management.
• Familiarity with SwiftUI, Jetpack Compose, and unit/integration testing.
• Strong understanding of OOP, mobile architecture, design patterns, and software craftsmanship principles.
• Working experience in Agile/Scrum environments with collaborative cross-team communication.
• Bachelor’s degree in Computer Science or a related field.

Bonus Points

• Exposure to cross-platform frameworks (Flutter, React Native, .NET MAUI).
• Familiarity with SQL/NoSQL databases such as Couchbase/Firebase.
• Understanding of mobile security best practices — OAuth2, PKI, encryption, secure storage.
• Understanding of basic DevOps principles and exposure to DevOps pipelines and automation using GitHub Actions.

Why Join Us

• Define how mobile developers experience Couchbase through SDKs and native integrations.
• Build tools that power fast, reliable, and offline-first apps.
• Influence the future of mobile data experiences across platforms.
• Work with passionate engineers driving developer productivity and innovation.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role

We are looking for an Escalation Engineer to join our team in a hybrid capacity based in Bangalore/Mohali, reporting to the Senior Manager, Product Support. The Escalation Engineer will provide world-class post-sales technical support to internal Level I & Level II Support Engineers, as well as provide direct support to customers and partners on escalated issues, as part of an escalation team. The Escalation Engineer will also work directly with Operations and Engineering on opening bugs and requests with all required diagnostic information.  

What you’ll do (Role Expectations)

• Engage with customers on escalated support issues or critical customer situations and participate in a 24x7 Support Operation and 24x7 on-call rotation
• Interface with Engineering and assist the customer with testing or troubleshooting
• Reproduce customer issues to verify problems and provide feedback to Engineering and Operations teams
• Create entries in our technical support online database to accurately document any incident resolution that is not found in our knowledge base
• Understand the product direction and customer use-cases and provide input on product and code changes through all points of the product cycle

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience as a Support Engineer or Senior Support Engineer supporting networking or web security products
• Practical knowledge of networking and security products and enterprise network infrastructure
• Experience troubleshooting network issues and familiarity with necessary tools such as Ping, Traceroute, and MTR
• Hands-on experience with SD-WAN, Routing protocols (BGP, OSPF), Firewall, Switching, SSL, SWG, VPN, and VDN
• Working knowledge and hands-on experience with Ubuntu and Python

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including TLS/SSL inspection and authentication flows
• Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments

#LI-Hybrid 

#LI -RG

Title: Lead Firmware QA Engineer, Astera Labs, Bengaluru, India. 
 
Astera Labs Inc., a leader in purpose-built connectivity solutions for data-centric systems, is seeking Lead Software QA Engineer for their Bengaluru (India) Design Center. Partnering with leading processor and GPU vendors, cloud service providers, world-class manufacturing companies, Astera Labs is helping data-centric system designers remove performance bottlenecks in compute-intensive workloads such as Artificial Intelligence and Machine Learning.

Basic Qualifications:

• Bachelor’s degree in electrical engineering (EE) or Computer Science is required; a master’s or PhD in EE is preferred with minimum 4 years of experience.

Required Experience:

• Experienced and detail oriented PCIe switch test engineer with solid understanding of PCIe protocol.
• Estimate work, identify dependencies and develop schedules.
• Responsible for designing and executing functional, performance, interoperability and stress tests.
• Work closely with  Silicon team, architecture team, FW development team to understand the design and develop test strategies.
• Responsible for manual and automation testing.
• Strong knowledge of scripting ( Python ) is must.
• Responsible for automation development and manual testing.
• Perform Signal integrity and protocol level validation.
• Closely work with development teams to triage and debug issues.
• Knowledge of collecting PCIe trace using PCIe analyzer and analyzing the trace to triage issues.
• Experience in PRBS testing, loopback and margining tests.
• Good understanding of OOB testing and Protocols like MCTP, I2C, SPDM etc.
• Experience is PCIe compliance testing is a plus.
• Regularly working with Hyperscale's and Tier 1 OEMs to communicate plans and status, address escalations, deliver on SLAs.
• Knowledge in validation of NIC controllers and storage controllers is preferred.
• Requirements management and traceability through software development phases.
• Mentoring and coaching team members to help them excel in their jobs.
• Power user of Git, Jira and Confluence.

Instawork

Instawork is one of the largest flexible labor marketplaces in the US - connecting over 10 million blue-collar workers with businesses across warehouses, kitchens, stadiums, etc. Built over a decade into the infrastructure that powers America's hourly economy, Instawork has raised $160M from TCV, Benchmark, and Greylock. We operate at a massive scale, move with urgency, and are now making one of the most ambitious bets in AI.

About IRL (Instawork Robotics Labs)

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

What will you do?

We're hiring an Operations Manager to run and scale our robotics data operations across APAC, starting from Bengaluru. You will own the operational backbone of a large-scale video data collection programme spanning multiple cities, thousands of field workers, and the most demanding quality bars in the industry. You'll work directly with senior leadership and carry real ownership from week one.

• Build the operations from the ground up - workflows, QA pipelines, and performance systems that scale across India and APAC without breaking
• Hire, mentor, and lead a lean team. Make them punch way above their weight
• Automate everything you possibly can. If AI can do it, it should not be on your plate
• Get on planes. Stand up new markets. Make them work
• Own every vendor relationship, every field coordinator, every delivery. 

Who are you?
If you've been itching to do the most important work of your career, and are ready to pour everything into it, this is your moment.

• 5+ years in operations, with experience building and leading teams inside startups.
• Strong with operational metrics, data reporting, and Google Sheets
• Hands-on with AI tools and automation platforms - you have actively used them to eliminate manual work.

Why Join Us

• Robotics data is a once-in-a-decade infrastructure bet. Get in before it goes mainstream and build your career at the center of it
• You will have full ownership of a greenfield operation - the kind of scope most people don't get until much later in their careers
• Work with world-class robotics, ops, and product talent

To Apply

If this role is speaking to you, don't just send a resume. Tell us about the hardest operational problem you have ever solved. We will take it from there. 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 
  
  

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for an Associate Director Cross channel who will do: 

• Client & Channel Leadership Act as the lead and primary point of contact for key digital marketing channels—including Search, Social, Programmatic Buying Units (PBU), Ad Operations, or Commerce (all or couple of them). Represent the Global Operations Center (GOC) in all channels wise agency/market interactions, ensuring expectations are managed and consistently met. Serve as the custodian of activation excellence for assigned channels, driving trust and accountability across global stakeholders. 

• Campaign Activation & Performance Oversight Oversee the activation, and optimization of campaigns across multiple channels and designated markets. Ensure flawless execution that aligns with broader media strategies and brand objectives. Work in close partnership with local and regional teams to maintain consistency, enhance performance, and deliver measurable impact through detailed reporting and actionable insights. 

• Stakeholder Management & Business Partnership Build and maintain strong relationships with internal market teams (Europe, U.S., Asia, MEA, AUNZ), agency partners, and cross-functional groups. Act as a strategic advisor, offering data-driven solutions tailored to regional needs while upholding global standards. Partner with leadership and internal clients to drive innovation, resolve challenges, and influence strategic decisions that contribute to business growth. 

• Operational Excellence & Governance Design, implement, and manage scalable workflows and Standard Operating Procedures (SOPs) to enhance operational efficiency, campaign quality, and consistency. Enforce compliance with global taxonomy, quality assurance, and platform governance standards. Analyze operational data and feedback to identify improvement areas, ensure process adherence, and escalate issues to the appropriate stakeholders for resolution. 

• Team Leadership & Talent Development Lead, mentor, and develop a high-performing team of subject matter experts responsible for campaign execution, optimization, and reporting. Foster a collaborative, accountable, and growth-oriented team culture. Ensure efficient team resourcing, continuous skills development, and alignment with organizational objectives through regular feedback, coaching, and performance evaluation. 
• Innovation, Automation & Business Growth Proactively identify new business opportunities within existing accounts and emerging markets. Collaborate with directors and senior leadership to develop compelling discussions for onboarding new scopes of work. Champion the adoption of internal and external automation tools and technology solutions to drive operational efficiency and future-proof activation capabilities. 
• Coordination with internal team to overall smooth running for operations.
   

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have: 

• 6+ year's professional experience in digital media execution
• You are at least one biddable media platform expert out of Google Ads, Meta, DV 360 with hands on experience across other platforms including but not limited to SA 360, Bing Search, DCM, Amazon ads, Twitter, LinkedIn and more.
• You are proficient in Microsoft Excel and Google Sheet
• Minimum team size handled 8-20 people. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Why this role matters:

We are looking for a skilled Software Development Engineer in Test (SDET) to join our engineering team. You will be responsible for designing, building, and maintaining automated test frameworks and SDLC, with focus on Playwright-based test automation across UI and APIs for the 3th Party Integration.

This role combines strong programming skills with a quality-first mindset, ensuring our applications are reliable, scalable, and production-ready.

Your key responsibilities:

• Collaborate closely with developers, product managers, and QA to ensure quality across the SDLC
• Build and maintain test automation for REST APIs and third-party integrations (e.g., CRM systems)
• Design, develop, and maintain automated test frameworks using Playwright
• Implement end-to-end (E2E), integration, and API tests
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions)
• Contribute to shift-left testing practices and quality engineering initiatives
• Use AI-assisted tools (e.g., GitHub Copilot) to accelerate test development
• Support performance and reliability testing where applicable

What you'll bring

Required:

• Hands-on experience as an SDET / Automation Engineer (mid-level)
• Strong experience with Playwright for UI test automation
• Solid programming skills in TypeScript or JavaScript
• Experience with API testing (REST, Postman, or similar tools)
• Understanding of test design patterns and automation best practices
• Experience integrating tests into CI/CD pipelines (Jenkins, GitHub Actions)
• Familiarity with version control systems (Git)
• Experience working in Agile/Scrum environments
• Strong debugging and problem-solving skills
• Understanding of software testing principles (functional, regression, integration)

Experience we consider a plus:

• Knowledge of contract testing (e.g., Pact)
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Familiarity with ServiceNow or enterprise SaaS platforms
• Experience with observability tools (Grafana, ELK, etc.)
• Exposure to AI-driven testing approaches or self-healing tests

How you’ll benefit:

• Local benefits
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process

#LI-KS1

Title: Senior AI QA Engineer
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior AI QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Title: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

As a member of the Quality Assurance (QA) Engineering Department, QA Automation Engineers work closely with the development and Product Management teams to develop and deliver quality software products. The QA Automation Engineer will need to possess imagination and creativity, along with the ability to provide expert level software testing skills, communication skills, and experience working in an agile development environment.

Responsibilities:

• Work in a highly collaborative, mission-driven, agile product development team.
• Execute Integration, Feature and Regression test cases using both manual and automated testing approaches. Knowledge of Unit Testing is a plus. 
• Work in support of the QA lead to help streamline testing processes for evaluating application features and determining software quality. Contribute to product and process improvement discussions and the refinement of QA best practices.
• Perform debugging and root cause analysis of product failures and log software defects.
• Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential project risks. 
• Help build scalable and reusable testing documentation in support of both manual and automated testing efforts. 
• Research and resolve any broken automation scripts that fail during execution

Requirements:

• 2+ years of technical experience strongly related to Quality Assurance/Testing and evaluation of system architecture and web applications
• 2+ years of developing and maintaining frontend automation frameworks, preferably in Groovy/Java
• Experience with at least one automation framework (e.g., Cypress, Selenium, Playwright, Katalon, TestNG, Robot Framework).
• Good understanding of API testing, database validation, performance testing, and load testing tools (e.g., JMeter, Locust, Gatling).
• Exposure to CI/CD environments and infrastructure-as-code principles.
• Experience testing on mobile devices (iOS and Android)
• Experience planning, designing, and implementing testing strategies and automation infrastructure for large scale system software
• Experience with Git or equivalent source control system, including basic concepts of code branching methodologies
• Experience with issue tracking tools (Jira preferred)
• Experience serving as a subject matter expert within a testing team on test process development and software quality measurements
• Browser, infrastructure, and remote device testing (including debug tools)
• Ability to communicate effectively and in a concise manner, both verbally and in writing
• Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI in accordance with organizational policy and Federal, State, and local regulations

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: Senior QA Engineer
Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Scopely is looking for a Senior AI Engineer to join our Gen AI team in Bangalore!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

What You’ll Do 

For this role we are seeking an experienced and forward-thinking Senior AI Engineer with deep expertise in Artificial Intelligence to lead the design and development of intelligent systems powering analytics, automation, and immersive in-game experiences. This role involves prototyping, researching emerging AI methods, and delivering scalable solutions that integrate seamlessly into production pipelines and game technologies.

• Lead the strategic design, development, and deployment of advanced AI systems for Conversational Analytics, Knowledge Bases, QA Automation, and in-game intelligent experiences
• Architect and implement scalable AI solutions supporting real-time systems, automation pipelines, and player-facing features
• Drive innovation in:
• Designing structured protocols for managing AI model context across diverse applications
• Creating autonomous agents for decision-making and dynamic interaction
• Collaborate across disciplines to translate high-level goals into robust, AI-powered capabilities
• Mentor and guide engineers, promote best practices, and contribute to architectural decisions shaping long-term technical direction
• Present research, insights, and prototypes that influence product vision and accelerate the adoption of emerging AI technologies
• Lead efforts in AI infrastructure, including model deployment workflows, performance tuning, and system observability in production environments

What We’re Looking For

• 5+ years of professional experience in backend or full-stack development using Python, including hands-on AI experience with at least 2 years in a senior role.
• Hands-on experience using agentic AI in day-to-day development to build, integrate, and optimize workflows with sub-agents, skills, MCP’s, tool calling, etc.
• Strong hands-on experience in building scalable, high-performance APIs using frameworks like FastAPI, Flask, etc.
• Proven Track record of atleast 1 year of experience in cloud- native development in AWS /GCP or similar and containerization using Docker  
• Strong background in software engineering best practices like CI/CD, Git workflows, testing strategies, and production-grade code quality
• Solid understanding of distributed systems, microservices architectures, and data management with both SQL and NoSQL technologies
• A strong sense of ownership and product thinking — proactively seeking ways to create value and drive impact
• Excellent problem-solving and system design skills, with a methodical and scalable approach to complex AI challenges
• Strong communicator with the ability to explain technical concepts clearly and influence cross-team decisions

Bonus

• Experience with MLOps, reinforcement learning, computer vision, or game AI development
• Contributions to open-source AI projects or publications in AI-related domains

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Job summary

We are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. As a Senior Software Engineer, you will be a key contributor to the design, development, and maintenance of our platforms. You will work closely with cross-functional teams to deliver high-quality software that meets the needs of our customers.

What you will do

• Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications. 
• Design, develop, test, and maintain software applications, ensuring they meet high-quality standards and performance benchmarks. 
• Write clean, efficient, and maintainable code, in accordance with coding standards and best practices. 
• Conduct code reviews to increase code quality, consistency, and alignment with the product design and architecture. 
• Analyze, troubleshoot, and debug product defects and provide timely solutions to customer issues. 
• Stay up to date on emerging technologies and industry trends to continuously improve software development processes and tools. 
• Contribute to architectural decisions and help drive technical innovation within the team. 

What you will have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent hands-on experience).
• 5+ years of experience as a Software Engineer (SSE) building scalable, production-grade web applications.
• Strong proficiency in Python and JavaScript, with full-stack development exposure.
• Deep expertise in modern frontend engineering using JS, Redux Toolkit, and strong fundamentals in ES6+, HTML5, CSS3, SASS, Tailwind CSS.
• Solid understanding of software design principles and architectures (modular design, domain-driven design, clean architecture) with a focus on scalability, maintainability, and performance.
• Hands-on experience with containerization and orchestration tools such as Docker, Kubernetes, and Helm for scalable deployments.
• Exposure to cloud platforms (AWS /GCP) with experience in building and deploying cloud-native applications.
• Strong DevOps mindset, including CI/CD pipelines (GitHub Actions, GitLab CI, Bitbucket, Harness), Infrastructure as Code (Terraform, CloudFormation), and automated deployment strategies.
• Strong experience with LLM-based developer tools and workflows, including Claude Code, GitHub Copilot, and modern AI-assisted engineering practices; adept at leveraging AI for code generation, optimization, debugging, and applying best practices in prompt engineering and workflow automation.
• Good exposure to application security practices, including secure coding standards (OWASP), vulnerability awareness, and implementing security best practices across the stack.
• Experience with API security and authentication mechanisms such as JWT, OAuth2, OpenID Connect, along with concepts like rate limiting and API gateways.
• Effective communicator and team player, experienced in collaborating with product, design, QA, and platform teams to deliver high-quality solutions.

Nice to have

• Working knowledge of PKI, cryptography, and code signing is an added advantage.
• Solid understanding of LLMs and RAG systems, including prompt engineering, embeddings, and vector databases (e.g., Postgres pgvector, Pinecone, Weaviate), along with orchestration frameworks such as LangChain and LlamaIndex.
• Familiarity with deploying GenAI workloads on AWS, Azure, and GCP (e.g., Bedrock, OpenAI, Azure OpenAI), including implementing guardrails, content filtering, and observability for LLM-based applications.

Benefits

• Generous time off policies
• Top shelf benefits
• Education, wellness and lifestyle support

#LI-SD1

Staff Software Engineer, Android

You’ll be a staff technical engineer on our mobile team, owning major parts of our Android SDKs and shaping how we build, ship, and maintain high-quality mobile experiences. This is a hands-on role focused on designing and delivering scalable, reliable Android features while partnering closely with Product, Design, Backend, QA, and other stakeholders. You’ll set technical direction for Android architecture, drive best practices across the codebase, and help the team move faster with better tooling and foundations. You’ll be expected to deliver complex work end-to-end, from discovery and design to implementation, release, and iteration based on real user feedback. You’ll report to an engineering manager and collaborate with other engineers to align mobile strategy with broader platform goals.

You Will:

• Own the design and delivery of high-impact Android features and platform improvements, from concept through production release
• Drive Android architecture decisions (modularization, navigation, state management, dependency injection) and document tradeoffs clearly
• Build and maintain clean, testable code using modern Android development practices (Kotlin, Jetpack, Coroutines/Flow, MVVM or similar)
• Partner with Product and Design to scope work into iterative milestones, balancing user value, performance, and technical maintainability
• Ensure app quality through robust testing (unit, integration, UI), code reviews, and release readiness (crash monitoring, performance profiling)
• Collaborate cross-functionally with Backend/API teams to define contracts, handle edge cases, and deliver resilient user experiences
• Improve developer velocity by upgrading tooling, CI/CD, build times, and shared mobile foundations (design system components, analytics, logging)
• Mentor and level up other engineers through technical guidance, pairing, and thoughtful feedback in reviews and design discussions

You Have:

• 10+ years of professional Android development experience delivering production mobile applications at scale
• Strong Kotlin proficiency and deep experience with modern Android frameworks (Jetpack Compose and/or Views, Lifecycle, ViewModel, Navigation)
• Proven ability to design and evolve Android app architecture for maintainability, scalability, and long-term team productivity
• Solid understanding of concurrency and async patterns on Android (Coroutines, Flow, threading, structured concurrency)
• Experience integrating REST APIs, handling offline/poor-network scenarios, and building robust data layers (SQLite, caching)
• Strong testing discipline, including unit testing and UI testing, plus familiarity with release practices and play store deployment
• Ability to lead technical projects end-to-end, coordinating with stakeholders and driving decisions through ambiguity
• A degree in Computer Science/Engineering or equivalent practical experience

Bonus Points If You Have:

• Team lead experience (e.g., acting as mobile tech lead, mentoring multiple engineers, coordinating delivery across a squad)
• Experience with Jetpack Compose at scale (design systems, performance optimization, accessibility, advanced animations)
• Background in performance optimization (startup time, jank reduction, memory/leak detection) and crash reduction programs
• Experience implementing and improving CI/CD for Android (build caching, test automation, release trains, feature flags, phased rollouts)
• Familiarity with mobile security best practices (secure storage, authentication flows, certificate pinning, threat modeling)
• Experience with multi-module builds, shared libraries, or cross-platform coordination (e.g., aligning Android/iOS feature parity)
• Knowledge of Decentralized Identity (DCI) and Identity & Access Management (IAM) concepts, including auth patterns like OAuth/OIDC

We are looking for a QA Engineer with strong hands-on experience in API and UI Automation using Selenium, Java. This is a full time position based in our Bangalore office.

Responsibilities – what you’ll do:

You will:

• Develop comprehensive end-to-end test plans, oversee their execution, and ensure thorough test coverage using effective strategies.
• Perform test automation across API, backend, and UI components, including the design and development of scalable, maintainable, and efficient automation frameworks and test scripts using Selenium and Java.
• Write high-quality code, review both product and automation code changes, and lead by example in applying coding standards and best practices.
• Demonstrate a strong understanding of software engineering principles, including source code control, unit testing, and CI/CD processes.
• Integrate test automation into CI/CD pipelines using tools like Jenkins, Git, and Maven.
• Work in a fast-paced Agile/Scrum environment, actively participating in sprint planning, user story refinement, design discussions, QA documentation, and post-release support.
• Collaborate with developers, architects, and product managers to understand requirements and define effective test strategies.
• Provide technical recommendations and testing solutions aligned with program goals.
• Lead troubleshooting, root cause analysis, and resolution of operational and application issues.
• Implement preventive measures based on root cause findings and propose mitigation strategies for identified project risks.
• Communicate test designs, test artifacts, and quality metrics clearly and effectively to stakeholders.
• Review and evaluate quality improvement initiatives aimed at enhancing efficiency.
• Ensure QA best practices are followed and mentor junior team members.
• Drive defect triage discussions and support continuous quality improvement across the team.

You have:

• Bachelor's degree in Computer Science Engineering, or a related field.
• 1 to 3 years of experience in Quality Assurance, with a focus on automation.
• Proficiency in Java programming.
• Expertise in API testing and automation using REST Assured, Postman, or similar.
• Solid experience with test frameworks such as TestNG, JUnit or Serenity.
• 1 to 3 years of hands-on experience with Selenium WebDriver for UI automation.
• Experience integrating automated tests in CI/CD pipelines (Jenkins, Git, Maven).
• In-depth understanding of Agile/Scrum methodologies.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and leadership abilities.
• Experience with cloud-based testing (AWS, Azure).
• Exposure to containerised environments (e.g., Docker, Kubernetes)
• Customer-facing skills to represent Ping Identity well within the customer's environment and drive discussions with senior personnel regarding trade-offs, best practices, project
• management, and risk mitigation.
• Leading/Involved in the highly available and fault-tolerant enterprise.

You have an advantage if:

• Fundamental knowledge in Identity and Access Management (IAM).
• Familiarity with the following protocols: SAML, OAuth, OpenID Connect, and SCIM

The Job
We are seeking an experienced Test Lead with strong hands-on Automation Testing expertise and proven leadership skills. The ideal candidate will take complete ownership of testing activities, be accountable for test strategy, execution, and delivery, and act as the primary point of contact for all testing-related matters. This role requires close collaboration with stakeholders, participation in status calls, and ensuring high-quality deliverables across the project lifecycle.

Responsibilities
Test Leadership & Ownership.

• Take end-to-end ownership of the testing function for assigned projects.
• Define and implement test strategy, test plans, and test approach aligned with business goals.
• Ensure accountability for all test deliverables, timelines, and quality standards.
• Act as the single point of contact (SPOC) for testing for internal and external stakeholders.

Automation Testing

• Design, develop, and maintain automation frameworks using Java, Selenium, RestAssured and BDD (Cucumber)
• Identify test cases suitable for automation and ensure optimal automation coverage.
• Review automation scripts and ensure adherence to coding and testing standards.
• Integrate automation execution into CI/CD pipelines.
• Drive continuous improvement in automation effectiveness and execution speed.

Manual & Functional Testing

• Oversee functional, regression, system, integration, and UAT support testing.
• Ensure accurate test case design, review, and execution.
• Validate business requirements and ensure comprehensive test coverage.

Team Management & Mentoring

• Lead, mentor, and guide a team of automation test engineers.
• Allocate tasks, track progress, and ensure productivity and skill development.
• Conduct reviews for test cases, automation scripts, and defect reports.

Defect & Quality Management

• Own the defect lifecycle, from identification to closure.
• Ensure proper defect triaging, prioritization, and root cause analysis.
• Work closely with development teams to resolve issues efficiently.
• Reporting & Stakeholder Communication
• Prepare and present daily/weekly test status reports and dashboards.
• Participate in status calls, sprint meetings, defect triage calls, and release discussions.
• Communicate risks, dependencies, and quality metrics clearly to stakeholders.

Process & Continuous Improvement

• Define and enforce testing processes, standards, and best practices.
• Drive quality initiatives and process improvements across projects.
• Ensure compliance with organizational and client quality standards.

Required Skills & Qualifications

• 8–10 years in Software Testing, with 4+ years in Test Leadership and 8+ years in Automation Testing.

Technical Skills

• Strong hands-on experience in Java, Selenium WebDriver & RestAssured(API testing).
• Expertise in BDD frameworks using Cucumber.
• Experience with TestNG / Junit.
• Knowledge of Maven/Gradle, Git/BitBucket(Version Control), Jenkins(CI/CD tool).
• Knowledge of test case management tools like Xray, Qmetry or Zephyr.
• Strong Understanding of SQL.
• Exposure to Agile/Scrum methodologies.
• Hands on a SDLC tools like Jira.

Leadership & Soft Skills

• Strong ownership mindset with high accountability.
• Excellent communication and stakeholder management skills.
• Ability to manage multiple priorities and deliver under pressure.
• Proven experience leading testing teams in complex projects.

Good to Have

• Experience with performance or security testing tools
• Exposure to cloud-based testing environments
• ISTQB or relevant testing certifications

What You Will Do

• Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
• Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
• Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
• Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
• Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
• Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
• Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
• Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
• Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
• Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
• Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.

What You Will Bring

• Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
• Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
• Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
• Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
• Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
• Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
• Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
• Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
• Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
• Experience working within Agile environments and translating performance insights into actionable engineering outcomes.

Required

• Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
• Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
• Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
• Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
• Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
• Experience with observability, monitoring, and log analysis tools.
• Familiarity with RESTful APIs and event-driven systems.

Application Requirements

• Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
• Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
• Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
• Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.

#LI-KS1

What You Will Do

• Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
• Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
• Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
• Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
• Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
• Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
• Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
• Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
• Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
• Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
• Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.

What You Will Bring

• Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
• Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
• Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
• Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
• Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
• Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
• Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
• Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
• Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
• Experience working within Agile environments and translating performance insights into actionable engineering outcomes.

Required

• Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
• Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
• Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
• Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
• Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
• Experience with observability, monitoring, and log analysis tools.
• Familiarity with RESTful APIs and event-driven systems.

Application Requirements

• Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
• Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
• Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
• Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.

#LI-KS1

What You Will Do

• Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
• Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
• Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
• Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
• Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
• Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
• Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
• Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
• Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
• Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
• Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.

What You Will Bring

• Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
• Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
• Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
• Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
• Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
• Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
• Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
• Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
• Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
• Experience working within Agile environments and translating performance insights into actionable engineering outcomes.

Required

• Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
• Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
• Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
• Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
• Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
• Experience with observability, monitoring, and log analysis tools.
• Familiarity with RESTful APIs and event-driven systems.

Application Requirements

• Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
• Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
• Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
• Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.

#LI-KS1

What You Will Do

• Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
• Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
• Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
• Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
• Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
• Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
• Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
• Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
• Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
• Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
• Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.

What You Will Bring

• Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
• Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
• Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
• Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
• Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
• Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
• Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
• Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
• Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
• Experience working within Agile environments and translating performance insights into actionable engineering outcomes.

Required

• Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
• Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
• Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
• Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
• Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
• Experience with observability, monitoring, and log analysis tools.
• Familiarity with RESTful APIs and event-driven systems.

Application Requirements

• Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
• Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
• Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
• Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.

#LI-KS1

What You Will Do

• Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
• Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
• Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
• Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
• Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
• Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
• Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
• Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
• Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
• Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
• Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.

What You Will Bring

• Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
• Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
• Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
• Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
• Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
• Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
• Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
• Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
• Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
• Experience working within Agile environments and translating performance insights into actionable engineering outcomes.

Required

• Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
• Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
• Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
• Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
• Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
• Experience with observability, monitoring, and log analysis tools.
• Familiarity with RESTful APIs and event-driven systems.

Application Requirements

• Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
• Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
• Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
• Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.

#LI-KS1

Why Verifone

For more than 30 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located

About the Role

We are looking for an experienced QA Engineer with a strong background in test automation and fintech systems. The ideal candidate will play a key role in ensuring the quality, reliability, and security of mission-critical financial applications.

Key Responsibilities

• Design, develop, and maintain automated test frameworks for web and API applications
• Perform functional, regression, integration, and system testing
• Collaborate closely with developers, product managers, and DevOps teams
• Validate data accuracy, transaction flows, and business rules in financial systems
• Execute API testing and backend validation
• Integrate automated tests into CI/CD pipelines
• Identify, document, and track defects through resolution
• Ensure compliance with quality standards and fintech regulations 

Required Skills & Experience

• 5+ years of experience in Quality Assurance
• Strong experience in test automation (Selenium / Cypress / Playwright / Appium)
• Proficiency in at least one programming language (Java, Python, JavaScript)
• Experience testing fintech applications (banking, payments, trading, lending, etc.)
• Hands-on experience with API testing (Postman, RestAssured, etc.)
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
• Strong understanding of SDLC and Agile methodologies
• Excellent analytical and problem-solving skills

Nice to Have

• Experience with performance testing (JMeter)
• Knowledge of security testing and compliance standards (PCI-DSS, SOC2)
• Experience with cloud platforms (AWS, Azure, GCP)
• Exposure to microservices architecture

Why Join Us

• Work on cutting-edge fintech products
• High ownership and impact role
• Collaborative and growth-oriented environment

Our commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

About the Role

We’re looking for an experienced Senior Marketing Operations Manager to oversee the delivery and analysis of Ethos’ CRM lifecycle campaigns, with an emphasis on email and SMS campaign execution. The ideal candidate is a thought partner for innovative use of experimentation, technology, data, and insights to drive campaign efficiency and effectiveness. You will also play a role in ensuring our Marketing/CRM capabilities are continuously evolving to meet the ongoing needs of the business and our customers. The position will work closely with all parts of the business to execute CRM deployment strategies that move business metrics.

This is a technical role that requires a blend of hands-on execution and longer-term, strategic planning. At Ethos, our offline experiences (email, SMS, direct mail, interactions with insurance agents) are all valuable touchpoints that we consider to be part of the core user experience. We’re looking for someone who is a consumer-first expert in email and SMS deployment strategy with meticulous attention to detail. This role will report into Ethos’ head of Partnership Lifecycle Marketing.

Duties and Responsibilities:

• Attend project kick offs and be involved in briefs to architect solutions prior to building
• Clarify, capture, and optimize requirements in order to build ad-hoc and automated communications
• Build, schedule, launch, and monitor complex automated and ad-hoc campaigns across email, SMS, and direct mail to drive new members through the insurance application process
• Setting up and monitoring complex journeys, and automations that have static/dynamic content with actionable trigger points to drive conversion and engagement
• Script dynamic communications to build a personalized user experience
• Write SQL to manage/build data tables, and build custom audience segmentation
• Maintaining and developing audience segmentation tactics by proactively guiding our team’s data pipeline and data needs
• Establishing high quality processes and infrastructure for our email and SMS tooling
• Codifying documentation of internal best practices, tooling, and process improvements

Qualifications and Skills:

• Deep experience using Iterable, Marketo or similar email management software
• Email and SMS deployment experience leveraging scripting languages (liquid template language) and concepts
• Extremely high attention to detail, all while managing a large volume of campaigns simultaneously
• Process oriented mindset that excels in structured workflows around testing, QA, and stakeholder approvals to improve execution efficiency and reduce errors.
• Strong analytical skills, competence in SQL, and experience with tools for doing data analysis i.e. Mode, Chartio, Redshift, Heap
• Strong collaboration skills in team environments, ability to effectively work with key stakeholders to clarify campaign requirements, but able to act quickly as the decision-maker
• High technical aptitude with the ability to quickly ramp up on internal nuances related to people, processes, and technology.
• A minimum of 4 years of experience building cross-channel campaigns using ESP platforms and/or marketing automation platforms
• Experience in launching audience-specific dynamic content lifecycle and event-triggered CRM programs
• Working familiarity with HTML/CSS
• Comfort with data pipelines and architecture, targeting, multi-step workflows, QA, and reporting
• Strong knowledge of best practices for email creative, segmentation, dynamic content, testing methodologies, deliverability, CAN-SPAM regulations, email deployment platforms, and ESPs
• Knowledge of the interconnectivity between technology and customer experience
• Ability to compile a well-articulated dashboard and share performance metrics
• Excellent project management skills, ability to multitask effectively, and work cross-functionally

#LI-ND1
#LI-Hybrid

#LI-HYBRID

• This role is hybrid (4 days a week in our Bangalore office)

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Senior AI SDET (AI Engineering & Quality)

Location: Bengaluru, India – Hybrid

About Reltio

Reltio's AI-powered data unification and management platform—spanning entity resolution, multi-domain master data management (MDM), and data products—transforms siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across industries rely on our award-winning, cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.

At Reltio, our values guide everything we do: Customer First, Better Together, Simplify and Share, Own It, and Always Better Than Yesterday. If you share these values, we invite you to join us.

Role Overview

We are looking for a powerhouse engineer who bridges AI development and automated validation. This is a builder-tester role — you will own the full lifecycle of AI features: from writing core Python logic for agentic workflows and tuning prompts, to architecting robust evaluation frameworks that ensure those systems are enterprise-ready.

Core Responsibilities

1. AI Development & Engineering

• Agentic Implementation: Design and implement autonomous agents using frameworks such as LangGraph, CrewAI, or AutoGen.
• Prompt Engineering: Own the prompt lifecycle — design, version, and tune system prompts to minimize hallucinations and maximize intent recognition.
• RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation (RAG) components, including document ingestion, chunking strategies, and vector database indexing.
• Feature Prototyping: Rapidly prototype AI-driven features in Python to validate feasibility before full-scale integration.
• Data Curation: Build golden datasets and synthetic data generation scripts to train and evaluate models.

1. Advanced Validation & Quality Architecture

• Automated Evaluation (Eval-as-Code): Build automated pipelines to measure LLM performance across metrics such as faithfulness, relevancy, and toxicity.
• Non-Deterministic Testing: Develop strategies to test "fuzzy" outputs using LLM-assisted evaluation (using one LLM to grade another).
• Hybrid Framework Development: Design and maintain a dual-stack automation framework covering both backend/infrastructure and AI/ML validation.
• End-to-End Orchestration: Integrate AI tests into the MLOps pipeline so that every model deployment or prompt change triggers a full regression of the agent's reasoning capabilities.
• Mentorship & Standards: Serve as the team's subject matter expert, defining standards for writing inherently testable AI code.

Required Skills

AI & Data Science

• Python: Strong proficiency with Pandas, NumPy, LangChain, and LlamaIndex.
• LLMs: Hands-on experience with OpenAI, Anthropic, or open-source models (Mistral, Llama); solid understanding of temperature, top-p sampling, and tokenization.
• Vector Databases: Experience with Pinecone, Milvus, or Weaviate.
• AI Evals & Observability: Practical experience building LLM-judge evaluation pipelines.

Software Engineering & QA

• Production-Grade Code: Ability to write and review complex automation suites for distributed systems.
• Architecture: Familiarity with microservices, async processing (Kafka/RabbitMQ), and RESTful APIs.
• Performance Testing: Experience with JMeter or Locust to benchmark LLM inference latency and streaming responses.

What You Bring

• 5+ years of experience as an SDET, QA Automation Engineer, or AI Engineer.
• 2+ years of hands-on experience testing AI/ML products.
• Experience integrating AI tools and agents into quality lifecycle management.
• Proven ability to write and review production-quality code.
• Solid background in test case design, test planning, and issue lifecycle management in a continuous deployment environment.
• Experience working in agile environments and testing highly scalable SaaS applications.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Senior AI SDET (AI Engineering & Quality)

Location: Bengaluru, India – Hybrid

About Reltio

Reltio's AI-powered data unification and management platform—spanning entity resolution, multi-domain master data management (MDM), and data products—transforms siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across industries rely on our award-winning, cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.

At Reltio, our values guide everything we do: Customer First, Better Together, Simplify and Share, Own It, and Always Better Than Yesterday. If you share these values, we invite you to join us.

Role Overview

We are looking for a powerhouse engineer who bridges AI development and automated validation. This is a builder-tester role — you will own the full lifecycle of AI features: from writing core Python logic for agentic workflows and tuning prompts, to architecting robust evaluation frameworks that ensure those systems are enterprise-ready.

Core Responsibilities

1. AI Development & Engineering

• Agentic Implementation: Design and implement autonomous agents using frameworks such as LangGraph, CrewAI, or AutoGen.
• Prompt Engineering: Own the prompt lifecycle — design, version, and tune system prompts to minimize hallucinations and maximize intent recognition.
• RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation (RAG) components, including document ingestion, chunking strategies, and vector database indexing.
• Feature Prototyping: Rapidly prototype AI-driven features in Python to validate feasibility before full-scale integration.
• Data Curation: Build golden datasets and synthetic data generation scripts to train and evaluate models.

1. Advanced Validation & Quality Architecture

• Automated Evaluation (Eval-as-Code): Build automated pipelines to measure LLM performance across metrics such as faithfulness, relevancy, and toxicity.
• Non-Deterministic Testing: Develop strategies to test "fuzzy" outputs using LLM-assisted evaluation (using one LLM to grade another).
• Hybrid Framework Development: Design and maintain a dual-stack automation framework covering both backend/infrastructure and AI/ML validation.
• End-to-End Orchestration: Integrate AI tests into the MLOps pipeline so that every model deployment or prompt change triggers a full regression of the agent's reasoning capabilities.
• Mentorship & Standards: Serve as the team's subject matter expert, defining standards for writing inherently testable AI code.

Required Skills

AI & Data Science

• Python: Strong proficiency with Pandas, NumPy, LangChain, and LlamaIndex.
• LLMs: Hands-on experience with OpenAI, Anthropic, or open-source models (Mistral, Llama); solid understanding of temperature, top-p sampling, and tokenization.
• Vector Databases: Experience with Pinecone, Milvus, or Weaviate.
• AI Evals & Observability: Practical experience building LLM-judge evaluation pipelines.

Software Engineering & QA

• Production-Grade Code: Ability to write and review complex automation suites for distributed systems.
• Architecture: Familiarity with microservices, async processing (Kafka/RabbitMQ), and RESTful APIs.
• Performance Testing: Experience with JMeter or Locust to benchmark LLM inference latency and streaming responses.

What You Bring

• 5+ years of experience as an SDET, QA Automation Engineer, or AI Engineer.
• 2+ years of hands-on experience testing AI/ML products.
• Experience integrating AI tools and agents into quality lifecycle management.
• Proven ability to write and review production-quality code.
• Solid background in test case design, test planning, and issue lifecycle management in a continuous deployment environment.
• Experience working in agile environments and testing highly scalable SaaS applications.

What you'll do

• Meeting with business stakeholders and translating functional requirements into technical requirements.
• Ensuring the quality, consistency and efficiency of all Salesforce activities including: general administration, data validity, reporting, support, maintenance, and improvement of the Salesforce platform.
• Re-engineer existing processes or build new processes to support the growth of the company.
• Implement/integrate/help manage third party applications as necessary.
• Design and develop technical solutions in Salesforce, extensive experience with customization on the Salesforce Lightning platform which should include: Lightning Components using the Lightning Design System framework, Apex, SOQL, and declarative platform tools (Process Builder, Lightning flows, Lightning App Builder, etc.)
• Maintain Salesforce Data Integrity.
• Design and build high-performance, reusable and reliable apex code with best practices.
• Web Services development with the Salesforce API (REST/SOAP/Meta Data, etc.) 
• Prepare technical specifications, detailed design documents, and developing test cases.
• Partner closely with the QA team during the build, test and UAT cycle to ensure build quality.
• Follow SDLC processes and tools, Iterative Design & Prototyping (Agile)

What you'll bring

• 5+ years of Salesforce development experience with Salesforce administration, Apex, Visualforce, triggers, batch Apex, Salesforce APIs, configuring Salesforce using workflows, validation rules  and lightning flows.
• Must have Salesforce administration skills like creating objects, fields, page layouts, lightning layouts, workflows, lightning flows, Email templates, data loader.
• Experience with Salesforce development using Lightning Framework, Apex.
• Experience with AURA and Lightning Web Component development.
• Experience with web technologies including HTML, XML, CSS and JavaScript.
• Experience writing SOQL and SOSL queries.
• Experience with Salesforce CPQ, a plus.
• Experience implementing Salesforce with other applications using SOAP, REST, BULK APIs.
• Good understanding of Salesforce CRM governor limits with an ability to optimize code to respect those limits.
• Experience in working with CD/CI DevOps tools.
• Working knowledge in SDLC process (Waterfall and Agile) , Agile Scrum Methodology experience (Preferred).
• Experience and desire to work in a multi-region global delivery environment
• Strong problem solving and troubleshooting skills.

Certifications

• Salesforce Certified Administrator (Required).
• Salesforce Platform Developer I (Required).
• Salesforce Platform App Builder (Required).
• Salesforce Platform Developer II (Preferred).
• Salesforce Certified Advanced Administrator (Preferred).

#LI-VG1
#LI-Hybrid

Senior Engineer, QA

Location: Bengaluru, Karnataka, India (Hybrid)

Job Term: Full-Time

The Opportunity:

Picarro is seeking an exceptional Sr. QA Engineer to join our team and ensure the quality of our flagship product suite. This transformational data analytics platform enables comprehensive natural gas pipeline leak and upstream emission surveys across the entire natural gas industry supply chain, from wellhead to consumer.

Responsibilities:

• Design, develop, and scale mobile-first automated testing strategies to ensure high-quality iOS and Android applications.
• Build and maintain robust mobile automation frameworks using tools like Appium, ensuring cross-platform coverage.
• Develop automated test suites for UI, API, and end-to-end mobile workflows, including device-level interactions.
• Perform mobile performance, load, and reliability testing, including network variability and real-world usage conditions.
• Create and execute test plans and test cases tailored to mobile app behavior, device fragmentation, and OS-specific nuances.
• Define and manage mobile test data, including device states, user scenarios, and environment configurations.
• Execute automated and exploratory tests on real devices and emulators/simulators, identifying defects, edge cases, and usability issues.
• Integrate automated tests into CI/CD pipelines to enable continuous testing and rapid feedback on mobile builds.
• Configure and manage mobile test environments, including device farms (cloud or on-prem).
• Collaborate closely with developers, product managers, and designers to ensure high-quality mobile user experiences.
• Participate in code reviews, sprint planning, and Agile ceremonies, advocating for testability and automation best practices.
• Drive improvements in automation coverage, stability, and execution speed for mobile platforms.

Qualifications:

Required Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or related field.
• Experience: 7+ years in QA with a strong emphasis on mobile test automation Mobile Automation

Expertise:

• Strong hands-on experience with Appium.
• Experience testing native, hybrid, and mobile web applications.
• Deep understanding of mobile OS behaviors, device fragmentation, and platform-specific challenges.
• Proficiency in Java (preferred) or similar languages for automation development.

Automation & API Testing:

• Experience building scalable automation frameworks for mobile UI and backend validation.
• Strong expertise in API testing (RESTful services) and integration with mobile workflows.

Performance & Reliability:

• Experience testing mobile app performance, including latency, battery usage, and network conditions.

Tools & Infrastructure:

• Familiarity with test management tools (JIRA, TestRail, etc.).
• Experience with Git and CI/CD pipelines, especially for mobile build and test automation.
• Exposure to device farms (e.g., BrowserStack, Sauce Labs, or in-house solutions).

Agile & Collaboration:

• Strong problem-solving skills with attention to detail.
• Proven ability to work in Agile environments and contribute to QA best practices.
• Excellent communication skills with a proactive, collaborative mindset.

Good to Have:

• Experience with real-time data validation using messaging systems like Kafka.
• Familiarity with NoSQL databases for backend validation.
• Experience testing mobile apps integrated with hardware devices or IoT systems.

About Picarro:

Picarro, Inc. is the world's leading producer of greenhouse gas and optical stable isotope instruments, which are used in a wide variety of scientific and industrial applications, including: atmospheric science, air quality, greenhouse gas measurements, gas leak detection, food safety, hydrology, ecology and more. The company's products are all designed and manufactured at Picarro's Santa Clara, California headquarters and exported to countries worldwide. Picarro's products are based on dozens of patents related to cavity ring-down spectroscopy (CRDS) technology. Picarro's solutions are unparalleled in their precision, ease of use, portability, and reliability.

Honors awarded to the Company include the World Economic Forum of Technology Innovation Pioneer, IHS CERA Energy Innovation Pioneer, the U.S. Department of Energy Small Business of the Year, the TiE50 Winner and the Red Herring Global 100 Winner. Key investors include Benchmark Capital Partners, Greylock Management Corporation, Duff, Ackerman & Goodrich, Stanford University, Focus Ventures, Mingxin China Growth Ltd., Ntt finance and Weston Presidio Capital.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability.

Posted positions are not open to third part recruiters/agencies and unsolicited resume submissions will be considered free referrals.

Title: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

We are seeking a skilled AI QA Engineer with 4–6 years of experience in test automation and a strong focus on validating AI/ML and LLM-based systems. The ideal candidate will have hands-on expertise in automation frameworks, API/UI testing, and experience in validating NLP/LLM models across complex, data-driven applications.

Key Responsibilities

• Design, develop, and maintain scalable automation frameworks for UI, API, and backend systems
• Perform end-to-end testing of AI/ML pipelines, including NLP and LLM-based applications
• Validate LLM outputs using techniques such as prompt validation, response scoring, and model comparison
• Build and execute test strategies for microservices and event-driven architectures
• Conduct data validation across systems using SQL/BigQuery and ensure data accuracy in pipelines
• Automate regression, smoke, and end-to-end test suites to improve coverage and efficiency
• Integrate automated tests into CI/CD pipelines using Jenkins or similar tools
• Collaborate with developers, data scientists, and product teams to ensure high-quality AI solutions
• Analyze defects, identify root causes, and ensure timely resolution
• Continuously improve test frameworks, tools, and processes

Required Skills & Qualifications

Automation & Testing

• Strong experience in Selenium WebDriver, RestAssured, TestNG
• Expertise in API Testing, UI Testing, and Microservices Testing
• Experience in building Hybrid/POM-based automation frameworks

Programming

• Proficiency in Java (mandatory)
• Basic working knowledge of Python

AI / ML / LLM Testing

• Experience testing NLP/LLM models (e.g., BERT, GPT-based models, QWEN, Gemini)
• Knowledge of NER validation, prompt testing, and output evaluation techniques
• Exposure to model validation, scoring mechanisms, and dataset validation

Data & Cloud

• Strong SQL skills with experience in BigQuery or similar platforms
• Understanding of event-driven systems (Pub/Sub or similar)
• Experience in validating JSON-based data pipelines

DevOps & Tools

• Experience with Jenkins, Maven, Git/Bitbucket
• Knowledge of CI/CD pipeline integration and test reporting (Allure or similar)

Good to Have

• Experience in Healthcare, OTT, or E-commerce domains
• Exposure to EMR/EHR systems or clinical data validation
• Knowledge of UMLS, CUI mapping, or healthcare NLP concepts
• Experience with mobile testing (Appium)

Experience

• 4–6 years of experience in QA Automation / SDET roles
• Hands-on experience in AI/ML or LLM validation is highly preferred

Education

• Bachelor’s degree in Engineering, Computer Science, or related field

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 5+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

Digital Program Developer

Position Overview

The Digital Program Developer designs, builds, and configures digital care pathways using GetWell’s content management and workflow platforms (Contentful and Total.js). This role translates clinical requirements into patient-facing digital programs by configuring content delivery, conditional logic, alerts, and multi-step workflows. You are the hands-on builder who brings care pathways to life.

Key Responsibilities

Workflow Configuration & Development (≈70%)

Care Program Build & Configuration

• Configure multi-step digital care programs in Total.js/Program Composer
• Implement conditional logic, branching scenarios, and decision trees
• Define temporal sequencing (e.g., pre- and post-procedure timelines)
• Configure alerts, escalation triggers, and severity levels
• Set up patient eligibility, enrollment, and progression logic
• Configure multi-channel communications (SMS, email, secure messaging)
• Integrate data feeds, reference dates, and enrollment criteria

Content Management (Contentful)

• Build and structure patient-facing content including:
• Educational modules and daily check-ins
• Surveys, assessments, and PROMs
• Automated messages with personalization variables
• Model structured content and reusable components
• Manage media assets (video, images, PDFs)
• Support multi-language content (English, Spanish, others as needed)

Logic & Rules Configuration

• Build scoring logic, formulas, and threshold-based alerts
• Configure skip logic, validation rules, and required fields
• Define completion criteria and program states
• Map data capture requirements and field specifications

Testing & Quality Assurance (≈30%)

Testing

• Create and execute end-to-end test plans
• Validate all logic paths, alerts, and edge cases
• Test delivery across channels and platforms
• Verify data capture, storage, and reporting accuracy
• Perform regression testing following updates or changes

Documentation

• Maintain configuration and logic documentation
• Create workflow diagrams and architecture maps
• Document business rules and decision criteria
• Support version control and change management
• Build troubleshooting and support guides

Required Qualifications

Technical & Platform Experience

• 3–5 years experience configuring complex workflows or automation platforms
  (e.g., BPM tools, CRM workflows, marketing automation platforms)
• Strong understanding of conditional logic, decision trees, and multi-step orchestration
• 2+ years experience with modern CMS platforms
  (Headless CMS preferred: Contentful, Sanity, Strapi)

Core Skills

• Strong logical and analytical thinking
• Methodical approach to testing and troubleshooting
• Comfort working with structured data and field mappings
• Ability to quickly learn new platforms and tools
• Basic understanding of APIs and system integrations

Nice to Have

• JSON/YAML configuration experience
• SQL or basic scripting (JavaScript, Python)
• Git/version control familiarity
• Jira or similar project management tools

Communication & Collaboration

• Translate clinical and business requirements into technical configurations
• Clearly communicate logic, constraints, and tradeoffs
• Document complex workflows for non-technical stakeholders
• Collaborate with product, engineering, content, implementation, and QA teams
• Present demos and walkthroughs of configured programs

Preferred Qualifications

Healthcare Experience (Helpful, Not Required)

• Familiarity with patient journeys and healthcare workflows
• Exposure to patient engagement platforms or digital health tools
• Awareness of healthcare terminology and roles
• Experience with EHR workflows (e.g., Epic, Cerner) is a plus

Advanced / Bonus Skills

• Experience with Total.js, Node.js, or Contentful
• GraphQL or HL7/FHIR exposure
• Internationalization and multi-language configuration
• Agile/Scrum team experience
• QA, testing automation, or technical documentation background

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace.

Opportunity:

Get Well is seeking a highly skilled and visionary Principal Engineer - AI Engineering to drive the development and implementation of advanced AI solutions. This role focuses on the technical execution of AI projects, leveraging expertise in Large Language Models (LLMs), multimodal AI systems, and agentic systems to create innovative healthcare solutions. The Principal/Staff Engineer will work closely with AI engineering teams, product teams, and cross-functional stakeholders to deliver scalable, reliable, and impactful AI technologies. This role serves as a key interface between AI engineering teams and product teams, translating technological capabilities into tangible healthcare solutions.

This position reports directly to the VP, Product Development, working collaboratively across multiple teams to advance the organization's AI capabilities and strategic objectives. 

Responsibilities:

 AI Solution Development

• Design, develop, and implement AI solutions leveraging unimodal and multimodal Large Language Models (LLMs) and agentic systems.
• Build and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision-making and workflow automation.
• Incorporate emerging AI technologies into existing product ecosystems to enhance functionality and user experience.
• Execute model training, fine-tuning, and optimization of inference engines for high-performance AI systems.
• Ensure technical excellence in AI solution design and implementation.
• Evaluate and integrate emerging AI technologies into existing product ecosystems.

Cross-Functional Collaboration

• Serve as primary liaison between AI engineering teams and product teams
• Translate technical capabilities into product requirements and user-centric solutions
• Help facilitate communication and alignment across engineering, product, and clinical teams
• Drive collaborative innovation processes and knowledge sharing

Infrastructure and Optimization

• Optimize cloud-based AI infrastructure for scalability, performance, and reliability.
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions
• Implement best practices for efficient AI system deployment and maintenance, including agentic workflows.

Performance and Quality Assurance

• Establish and maintain rigorous testing and validation protocols for AI models
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions.
• Drive continuous improvement in AI model accuracy, efficiency, and robustness.

Monitoring and Observability 

• Implement and manage monitoring solutions for AI systems to ensure operational health and performance.
• Utilize tools such as Langfuse, Prometheus, Grafana, or similar platforms to track model performance, latency, and resource utilization.
• Analyze observability data to identify and resolve issues in AI model behavior, agentic system performance, and system reliability.
• Establish proactive monitoring strategies to detect anomalies and ensure reliability of AI deployments.
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions.

Compliance and Ethical AI

• Ensure AI solutions adhere to healthcare regulatory standards and data privacy requirements (e.g., HIPAA, GDPR)
• Develop and enforce ethical AI guidelines
• Mitigate potential biases in AI model development
• Maintain high standards of responsible AI innovation

Requirements:

• Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field
• Minimum 5+ years of technical leadership experience in AI/ML technologies
• Proven track record of delivering complex AI solutions in healthcare or technologically advanced domains
• Deep technical proficiency in:
  • Large Language Model (LLM) architectures
  • Multimodal AI system design
  • Agentic system development using frameworks like CrewAI, LangChain, and LangGraph.
  • Machine learning model training and fine-tuning
  • Cloud computing infrastructure (AWS preferred)
  • AI/ML frameworks and development tools (e.g., TensorFlow, PyTorch, Hugging Face)
• Experience with AI monitoring and observability tools such as Langfuse, Prometheus, Grafana, or equivalent platforms.
• Strong programming skills in Python, C++, or other relevant languages.
• Experience in agile and adaptive project management methodologies
• Exceptional problem-solving and analytical skills, with a focus on delivering scalable solutions.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Collaborative mindset with experience working in cross-functional teams.
• Ability to mentor junior engineers and contribute to team development.
• Knowledge of healthcare technology landscapes and regulatory environments (e.g., HIPAA, GDPR) is a plus.
• Awareness of emerging AI technologies, including agentic systems, MCP, A2A protocol and their potential applications.
• Adaptability to work in fast-evolving technological environments.
• Commitment to adhering to organizational information security policies and protecting sensitive information, including ePHI and PHI, in accordance with Federal, State, and local regulations.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 12+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

Technical Product Manager, Innovation: Role Overview

Role Summary

JazzX is building AI-native digital workers that operate with institutional intelligence—governed, explainable, and continuously improving in real production environments. As JazzX expands beyond residential mortgage into new high-stakes domains (e.g., commercial lending, insurance, and adjacent verticals), the ability to rapidly stand up domain-specific solutions is a critical growth lever.

The Technical Product Manager, Innovation is a foundational product role responsible for accelerating JazzX’s reach into new verticals. This TPM will create reusable solutions as well as solution accelerators (e.g. workflow templates, policy and controls packs, ontologies, integration patterns, agent configurations, evaluation harnesses, etc.), and demo-ready reference implementations—that compress time-to-value across commercial lending, insurance, and future domains.

This is a hybrid builder-deployer role. You will combine deep product thinking with hands-on customer engagement—at times, working directly within customer organizations to implement JazzX solutions in production. Every deployment strengthens the accelerator library and platform, so the next one is faster, cheaper, and better. Think part technical product manager and part solutions architect—with the strategic judgment to shape what JazzX builds next based on what you learn in the field.

This is a 0 → 1 → scale role: hands-on execution early, then systematizing what works into playbooks, templates, and reusable platform capabilities.

Core Profile: What We Need

0 → 1 Builder With Systems Thinking (Startup DNA, High Ownership)

Thrives in ambiguity and can go from blank page to shipped solution fast—then turn one-off success into a repeatable template that scales across customers and verticals. You build the “factory,” not just the first widget. Balances speed with enterprise-grade quality in high-stakes environments.

Technical Product Leader (Strong Engineering Surface Area)

Comfortable going deep on APIs, AI & data models, integrations, permissions, system boundaries, and deployment constraints. Able to partner as a technical peer to Engineering: clarify tradeoffs, shape architecture decisions, and keep execution unblocked. Writes crisp technical specs, defines interfaces, validates edge cases, and understands what it takes to ship production-grade software. Strong instincts around instrumentation, telemetry, reliability, and operational workflows.

Solution Accelerator & Template Architect (Reuse as a First-Class Goal)

Thinks in modular building blocks: repeatable workflow patterns, configurable policies, reusable connectors, reference ontologies, evaluation harnesses, and deployable blueprints. Can distinguish what should be productized in the core platform vs. what should live as a domain package or configuration layer. Obsessed with repeatability and scale—every implementation should make the next one faster.

AI-Native Product Thinking

Experience building AI-powered workflows where systems complete consequential work and humans supervise outcomes. Comfortable with concepts like:

• Human-in-the-loop controls and escalation
• Explainability, confidence signaling, and audit trails
• Exception handling, recoverability, and safe automation
• Task orchestration, tool/function calling, guardrails, and continuous improvement loops

Domain Agility Across Regulated Enterprises

Prior experience in one or more regulated verticals such as Lending and/or Insurance is strongly preferred—but rapid learning and structured problem-solving are the true requirements.

Customer-Embedded Deployment Mindset (Production-Oriented Delivery)

Comfortable working directly with customer stakeholders (business and technical) to translate needs into shipped, measurable outcomes. Can operate effectively inside customer constraints: legacy systems, security reviews, data quality issues, governance, and change management. Treats adoption and measurable ROI as the job, not a downstream concern.

Clear Communicator & Cross-Functional Driver

Able to produce crisp product specs, workflow diagrams, decision logs, and rollout plans. Can lead alignment across Product, Engineering, UX, Solutions/Delivery, and GTM. Synthesizes field observations into clear, actionable product insights—serving as the critical bridge between customer reality and JazzX’s product roadmap.

Role Scope: What This Leader Will Drive

1. Identify and Prioritize New-Domain Solution Requirements

• Conduct deep domain immersion for each new vertical: understand the regulatory landscape, key personas, decision workflows, data requirements, and competitive dynamics
• Map the highest-leverage workflows and “thin slices” that prove value quickly in each segment
• Define segment-specific solution roadmaps (e.g., commercial lending sub-products; insurance lines/workflows) with clear value theses and measurable outcomes
• Conduct competitive analysis to understand how incumbents serve each segment and identify JazzX’s differentiated entry points

1. Build a Library of Templates & Solution Accelerators

Create reusable assets that materially shorten time-to-value, including:

• Workflow blueprints and reference architectures
• Configuration templates (policies, routing, exception paths, controls)
• Canonical data models and mapping guides
• Agent behavior configurations, prompt templates, and orchestration patterns
• Integration patterns/connectors and deployment checklists
• Evaluation and QA harnesses (golden datasets, regression tests, human review loops)
• Demo-ready “starter kits” that are real enough to become production

Package accelerators so they can be deployed repeatedly with predictable effort. Define what “good” looks like: measurable success criteria, instrumentation requirements, operational KPIs, and audit readiness.

1. Own End-to-End Customer Delivery for Selected Deployments

• Serve as JazzX’s forward-deployed technical partner within customer environments during initial solution rollouts
• Lead discovery, scoping, and solution design; map customer-specific workflows, data flows, and operational nuances; configure and adapt JazzX solutions accordingly
• Work alongside customer operations, IT, security, compliance, and business stakeholders to validate solution performance and drive adoption
• Ensure solutions move beyond pilots into production with reliability, governance, and measurable ROI built in
• Capture and productize learnings into the accelerator library—so every deployment makes the next one faster

1. Convert Workflow Reality Into Shippable Product Requirements

• Write detailed PRDs/specs that are precise on: user journeys, data/permission needs, integration contracts, edge cases, failure modes, and audit requirements
• Identify platform gaps exposed by new domain requirements and advocate for platform investments that increase cross-domain leverage
• Partner tightly with Engineering and UX to ship with high quality (including QA, release readiness, and instrumentation)
• Maintain a pragmatic backlog balancing domain accelerators, platform improvements, and customer-critical delivery needs

1. Ensure Trust, Governance, and Enterprise-Grade Controls

• Build patterns for explainability, auditability, supervision, and recoverability across all deployed solutions
• Define the human-in-the-loop controls: review, approve, intervene, escalate, and learn from expert judgment
• Partner with Security/Compliance stakeholders to meet customer requirements (roles/permissions, logs, data handling, policy enforcement)
• Design for enterprise reality: approvals, audit trails, governance, and integration into existing tools and operating rhythms

1. Establish Outcome Metrics and Continuous Improvement Loops

• Define success metrics per accelerator (time saved, throughput, error reduction, SLA adherence, audit readiness, user adoption)
• Ensure solutions are instrumented so JazzX can observe performance and iterate quickly
• Drive post-deployment iteration cycles that improve both the customer solution and the reusable template
• Maintain a domain knowledge base that enables future team members and customer success teams to deploy solutions independently

1. Enable Internal Teams & Support Go-to-Market

• Create internal documentation, demo flows, and enablement materials for Solutions, Sales, and Customer Success
• Partner with Marketing to develop domain-specific demos, proof-of-value frameworks, and customer-facing materials
• Contribute domain expertise to RFP responses, prospect conversations, and strategic partnership discussions
• Help build referenceable customer success stories with quantified outcomes from deployed solutions
• Represent JazzX’s domain expertise at industry events, conferences, and customer forums

Success Outcomes (First 12–18 Months)

Foundation & First Accelerators (0–6 Months)

• Deep domain immersion completed for at least two new verticals (e.g., commercial lending and insurance) with documented workflow maps, persona profiles, and opportunity assessments
• First set of new-domain use cases prioritized with clear ROI hypotheses and measurable success metrics
• 1–2 production-grade accelerators shipped (or in late-stage pilot) with documented templates, configuration patterns, and deployment checklists
• At least one customer-embedded deployment initiated with active workflow mapping and solution configuration underway
• Repeatable discovery-to-implementation workflow established (intake → spec → build → deploy → measure → templatize)

Expansion & Repeatability (6–12 Months)

• A growing library of accelerators spanning multiple segments within at least one new domain (e.g., multiple commercial lending sub-products or multiple insurance workflows)
• Time-to-value meaningfully reduced for subsequent deployments because templates, integration patterns, and evaluation harnesses are reusable
• At least two customer-embedded deployments delivering production value with quantified ROI outcomes
• Clear feedback loop from customer deployments into platform roadmap (what must be standardized vs. configured vs. left as customer-specific)

Scale & Platform Leverage (12–18 Months)

• A durable “solution factory” motion: new accelerators can be created and deployed predictably, without reinventing core patterns each time
• Deployment playbooks and domain knowledge base mature enough to enable other team members to execute deployments with decreasing direct involvement
• Multiple customer deployments leveraging the accelerator library with strong adoption and measurable outcomes
• Referenceable customer success stories across multiple domains with quantified business impact
• JazzX recognized by customers as enterprise-ready in new domains—due to governed operation, explainability, and real workflow embedding—not just a horizontal AI tool, but a solution that understands the business