Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

What's the Role All About?

The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth.

How Will You Make an Impact?

Technical Leadership:

• Define and govern technical standards and best practices for AI and Conversational AI solution delivery.
• Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards.
• Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
• Drive prompt engineering, conversational design, and AI orchestration best practices across the team.
• Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards.

People Management & Team Development:

• Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning.
• Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team.
• Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms.
• Drive a collaborative, inclusive, and high-accountability team culture.

Technical Problem Solving & Quality:

• Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows.
• Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance.
• Produce and review key documentation including architecture specifications, test strategies, and deployment materials.

Delivery & Process Excellence:

• Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management.
• Define and continuously improve engineering processes, documentation standards, and delivery frameworks.
• Align technical roadmap planning with business priorities and stakeholder expectations.
• Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams.

Collaboration & Stakeholder Engagement:

• Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions.
• Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence.
• Maintain transparent and consistent communication across all delivery teams.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred.
• 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar).

Technical & Architecture Skills:

• 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity.
• Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript.
• Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus.
• Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns.
• Strong expertise in:
• Web APIs, SOAP, and REST implementations
• Modern authentication standards (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X-Frame Options)
• HTML/CSS and front-end fundamentals
• Prompt engineering and AI integration patterns
• Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles.
• Proficiency in databases (SQL/NoSQL) and data integration patterns.
• Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms.

Leadership & People Management:

• Demonstrated experience managing and growing engineering teams, including performance management and career development planning.
• Ability to define technical vision, establish engineering standards, and align team deliverables with organisational goals.
• Strong stakeholder management skills, including handling escalations and influencing at senior levels.
• Experience driving technical roadmap planning across multi-disciplinary teams.

Communication & Collaboration:

• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers and senior stakeholders to articulate technical decisions, solution architecture, and delivery strategy.
• Effective leader in design reviews, sprint planning, technical discussions, and delivery execution.

Delivery & Process:

• Experience defining and improving engineering processes, documentation standards, and delivery governance.
• Strong track record of authoring and reviewing design documents, functional requirements, test strategies, and deployment guides.
• Experienced in Agile/Scrum environments with a focus on predictable, high-quality delivery.
• Willingness to work in US shift hours (5 PM – 2 AM IST).

You Will Have an Advantage If You Also Have:

• Hands-on experience with NICE CXone products or other cloud-based contact centre platforms.
• Experience with enterprise conversational AI platforms such as NICE CXone, Kore.ai, Amelia, Dialogflow, or similar.
• Exposure to Generative AI tools, LLM fine-tuning, or RAG-based architectures.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration, where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10786

Reporting Into: Director , Engineering 

Role Type: People Management

Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.

You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. 

You Will:

Model and Pipeline Automation 

• Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. 
• Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models.
• Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models.

Governance & Compliance

• Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.

Performance Monitoring

• Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. 
• Incorporate user feedback for iterative improvements and manage necessary model retraining cycles.

Cross-Functional Collaboration

• Act as the "glue" between Data Scientists (who build models) and Software Engineers (who consume them).
• Partner effectively with software engineers, product managers and business functions to integrate the machine learning solutions across smartsheet.

Architecture and Infrastructure Management

• Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC).
• Provide architectural guidance and mentorship to a team consisting of ML engineers, data scientists and analytics engineers.
• Distill complex ML concepts into easy-to-follow technical documentation.

You Have:

• 5+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (eg. AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker etc. to create ML models and data pipelines. 
• 7+ years of programming experience in languages used in AI/ML (eg python, scala etc)
• 4+ years of experience in developing deep learning and traditional ML models using common frameworks like pytorch, tensorflow, huggingface, scikit-learn etc.
• Strong applied data science skills - ability to recognize data patterns, understand how and when to use various machine learning approaches (eg. supervised/unsupervised learning, deep learning etc.), and evaluate the performance of ML algorithms. 
• Proven ability to remain up-to-date with the latest advancements in Generative AI approaches (eg. OpenAI, LangChain, Stable Diffusion APIs).
• Experience developing, documenting, and supporting REST APIs
• A degree in Computer Science, Engineering, or a related field or equivalent practical experience.

What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do everyday?

We are looking for a Software Developer to join our Backend Engineering team. Specifically, you will be:

• Collaborating with the product, design and operations teams to build a world class product
• Developing, owning and maintaining highly scalable distributed services and solutions
• Implementing a microservices based architecture using Golang and Python
• Ensure application performance, uptime, and maintaining high standards of code quality
• Maintaining continuous integration and deployment tools; creating unit and integration tests for written software code

 Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: You know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• Strong product development experience in building distributed systems and microservices.
• 2 to 5 years experience 
• Strong programming skills on Linux using Go
• Strong foundation in data structures, algorithms and a strong understanding of concurrent programming
• Superior organization, written/verbal communication, interpersonal and leadership skills 
• Ability to collaborate effectively with cross functional teams to solve complex problems and building products spanning across geographically distributed teams to deliver end-to-end products & features
• Ability to multi-task and re-prioritize responsibilities based on changing requirements
• Bachelors/Masters degree in computer science or related field

It will be a huge plus if you have:

• Experience working with gRPC, gRPC context and Protocol Buffers
• Experience with infrastructure and systems engineering, and scaling services on cloud computing platforms like GCP

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
 

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities) 

• Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
• Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
• Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
• Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
• Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
• For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
• For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
• Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
• Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
• Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
• Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
• Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

• Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
• Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
• Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
• Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
• Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
• Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
• Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
• Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
• Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Overview:

What you will do:

What we are looking for:

Overview:

What you will do:

What we are looking for:

Overview:

We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.

We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
• Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
• Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
• Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
• Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
• Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
• Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
• Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
• Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.

What we are looking for:

Required:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
• Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
• Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
• AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
• Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
• Travel is required: Yes – Approximately 10%

AI Skills/Knowledge:

• Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
• Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
• Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
• Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Preferred Skills:

• Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
• Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
• Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
• Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
• Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
• Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

#LI-SR1

Overview:

As Software Engineer - I, this role requires you to oversee all aspects of software and product testing within the team. This may include developing test strategies, designing test documents, identifying bugs, and reviewing testing reports. You will be participating in functional, regression and Database testing of software products.​ 

What you will do:

• You will ​take part in the design phases of new software/product feature development and promotes continuous testing to guarantee an error free final product (20%-time allocation)​ 
• You will ​be identifying potential quality issues and report them to development team. (20%-time allocation)​ 
• You will ​be responsible for identification of test requirements from defined specifications, mapping test case requirements, and designing test coverage plans. (20%-time allocation)​ 
• You will ​be executing both manual and automated test cases (15%-time allocation)​ 
• You will ​be automating test cases using existing Test Automation framework (10%-time allocation)​ 
• You will ​ensure that test scripts/cases are always up to date (10%-time allocation)​ 
• You will ​ensure proper documentation of all executions and prepare detailed failure reports (5%-time allocation)​ 
• Other duties may be assigned. 

What we are looking for:

• 1+ years of software industry experience and successful track record in product testing. 
• BE/BTech/MCA/Equivalent degree in Computer Science or a related technical field from an accredited university or college.
• You have ​worked on defect reporting tools such as JIRA, Bugzilla, VSTS etc.​
• You have ​expertise in creating testcases using Test cases management tools such as VSTS, TestLink etc.​
• You have ​experience in testing tools like Selenium.
• ​ You have ​worked on Agile methodology for software testing and development​.
• You have ​worked interdependently across multiple projects simultaneously.
• You have ​composed clear and concise testing documentation​.
  
  

#LI-SA1

Overview:

We are seeking a skilled Mainframe Systems Programmer to support, maintain, and enhance our IBM z/OS mainframe environment. This role is responsible for installing, configuring, upgrading, and tuning system software amd hardware to ensure high availability, performance, and security of mission critical systems. The ideal candidate will work closely with application development, operations, security, and infrastructure teams to support both production and non-production environments.

What you will do:

• Monitor system performance, and resource utilization, diagnose root cause, and remedy.
• Shared responsibility for maintaining the z/OS and JES2 software environment.
• Work with application programmers to ensure that application problems do not adversely affect production operations.
• Provide guidance to application programmers where appropriate.
• Assist with the analysis, design, programming, and implementation of internal products.
• Develop/maintain/monitor proper system use and security policies and rules.
• Create, maintain, and upgrade operating system software for development environments.
• Analyze requirements and recommend policies, procedures, and standards for operating system software.
• Implement and verify backup and recovery procedures.
• Install new z/OS releases as they become available and configure to support Development environments.
• Keep supported systems current with the latest maintenance provided by IBM to Maintain system reliability and ensure availability.
• Be available after hours for emergencies or exceptional situations concerning the mainframe environment.
• Resolve any system-related problems that may arise in a timely and efficient manner.

What we are looking for most or all of:

• Minimum 7 years of experience as a Mainframe Systems Programmer.
• Strong hands on experience with IBM z/OS in an enterprise environment.
• Deep understanding of JCL, DASDM, catalogs and VSAM.
• Understanding of Parallel Sysplex, Coupling Facilities, shared DASD, and related.
• Experience with SMP/E, system upgrades, and maintenance processes.
• Solid understanding of JES2, system libraries, and z/OS initialization and configuration.
• Solid understanding of the hardware and how it works, including DS8000, VTL, HMC, CSM.
• Experience with system IPLs and system recovery activities.
• Familiarity with mainframe security concepts and tools (e.g., RACF).
• Familiarity with other IBM strategic products such as z/VM, CICS, IMS, DB2.
• Ability to produce and review RMF and SMF-based reports.
• Knowledge of TCP/IP AT-TLS, encryption and certificates.
• Some programming experience in one of Assembler, Rexx, Python, C or PL/I would be favorable.
• Good understanding of USS, OMVS and bash-family scripting.
• Experience of cloud backups would be useful.

#LI-KM1                                                                                    #LI-Remote

Overview:

What you will do:

What we are looking for:

Overview:

We are looking for a Senior Platform Engineer who will work with senior management, Platform Engineering, QA and development teams to continuously improve the stability, reliability and efficiency of our global SaaS platform through automation solutions and platform tools. This individual will contribute to building the software, automation frameworks, and systems that make our production environment more resilient, enable self-service capabilities, and reduce operational toil through code.

What you will do:

• Design, develop, and maintain automation tools and platform capabilities using Go, Python, or similar. languages to help eliminate manual toil and build self-service components across infrastructure, observability, reliability, and security domains.
• Build and enhance internal tools, integrations, and workflows that improve operational efficiency and developer productivity within the SaaS platform.
• Develop and support automation frameworks for incident response, infrastructure testing, monitoring optimization, and compliance validation including CI/CD pipeline enhancements.
• Help develop observability and monitoring solutions including setting up alerts, contributing to noise reduction systems, automated SLO management, and cost optimization.
• Partner closely with SaaS Engineering to deploy application and infrastructure updates using automation tools.
• Available for on-call duties for incident response, blameless postmortems, and helping translate learnings into automated solutions.
• Contribute to build playbook documentation and procedures.

What we are looking for:

• 5-8 years of experience in software development, platform engineering, SRE, or DevOps with hands-on experience building and maintaining software in production environments.
• Strong programming skills in Go, Python, or similar languages with with experience developing internal tools, automation systems, or developer-facing utilities.
• Strong understanding of Linux fundamentals and ability to design code-based solutions.
• Familiarity with Kubernetes, container technologies, AWS/GCP/Azure, Infrastructure as Code tools (Terraform/CloudFormation/Ansible), Git, and basic CI/CD concepts.
• Understanding of APIs, microservices, and distributed systems concepts.
• Understanding of SRE principles, SaaS service management, and 24x7 production environment operations
• Experience contributing to automation projects, internal tools, or monitoring implementations (i.e. Datadog, Prometheus, Grafana, Backstage) is a plus.
• Experience with Kubernetes operators, controllers, or orchestration concepts is a plus.
• FedRAMP, SOC2, or compliance framework exposure is a plus.

#LI-KM1

This position is 100% remote anywhere in the US

Overview:

What you will do:

What we are looking for:

Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement  

What you will do:

• Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
• Design, build and maintain reuseable product demos, environments, solutions and technical assets
• Effectively communicate the value and/or advantages of solutions in both technical and business context
• Provide high-quality technical support to Sales and Sales Engineering as required

What we are looking for:

• Experience supporting geographically distributed Sales Engineering teams
• Proficiency in creating custom demos, POCs and technical environments
• Minimum of two-years of experience in customer-facing technical roles
• Experience using LLMs (e.g. Claude, GPT, Gemini)
• Programing experience, any language
• Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
• Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
• Working knowledge of data-intensive applications including Matillion, Informatica, Talend
• Familiarity with data disciplines; Governance, Quality, MDM, Observability
• Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
• Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
• Travel is required: No
• Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)

#LI-SR1

Position Summary:

Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings.

The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments.

The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. AI / ML Model Development & Optimization

• Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
• Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
• Optimize model performance across accuracy, latency, scalability, and cost dimensions.
• Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets.
• Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness.

1. Production Deployment & MLOps

• Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
• Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable.
• Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies.
• Troubleshoot and resolve AI/ML engineering issues across development and production environments.

1. Cross-Functional Collaboration & Integration

• Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives.
• Translate product requirements and use cases into technical architectures and model designs.
• Support integration of AI capabilities into customer-facing products and internal platforms.
• Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders.

1. Data & Domain Application

• Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems.
• Ensure responsible handling, transformation, and validation of data used for model training and inference.
• Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable.

1. Technical Excellence & Continuous Improvement

• Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.
• Contribute to internal best practices, standards, and reusable components for AI/ML development.
• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.
• Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
• Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows.
• Deep hands-on experience with machine learning, deep learning, and natural language processing.
• Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
• Working knowledge of data preprocessing, feature engineering, and model validation practices.
• Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred:

• Experience building AI solutions in healthcare, life sciences, analytics, or regulated data
• Hands-on experience with MLOps frameworks and monitoring strategies.
• Experience integrating AI models into SaaS products or productized services.
• Familiarity with distributed systems, APIs, and modern software engineering practices.
• Exposure to enterprise AI governance, security, or compliance considerations.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

Position Summary:

Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings.

The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments.

The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. AI / ML Model Development & Optimization

• Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
• Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
• Optimize model performance across accuracy, latency, scalability, and cost dimensions.
• Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets.
• Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness.

1. Production Deployment & MLOps

• Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
• Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable.
• Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies.
• Troubleshoot and resolve AI/ML engineering issues across development and production environments.

1. Cross-Functional Collaboration & Integration

• Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives.
• Translate product requirements and use cases into technical architectures and model designs.
• Support integration of AI capabilities into customer-facing products and internal platforms.
• Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders.

1. Data & Domain Application

• Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems.
• Ensure responsible handling, transformation, and validation of data used for model training and inference.
• Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable.

1. Technical Excellence & Continuous Improvement

• Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.
• Contribute to internal best practices, standards, and reusable components for AI/ML development.
• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.
• Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
• Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows.
• Deep hands-on experience with machine learning, deep learning, and natural language processing.
• Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
• Working knowledge of data preprocessing, feature engineering, and model validation practices.
• Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred:

• Experience building AI solutions in healthcare, life sciences, analytics, or regulated data
• Hands-on experience with MLOps frameworks and monitoring strategies.
• Experience integrating AI models into SaaS products or productized services.
• Familiarity with distributed systems, APIs, and modern software engineering practices.
• Exposure to enterprise AI governance, security, or compliance considerations.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL.

What will you do everyday?

You’ll create engaging product experiences on iOS/Android and services that delight and empower doctors with experiences that they could never imagine with their health IT systems.  You have an equal grasp of iOS and Android native development expertise in Swift/Objective-C/Kotlin/Java. You will work with the product, design and operations team to build the best product and support it. You will be DevOps friendly and you will write, test and deploy your own code.  While you know how to work hard, you also know how to have fun at work, make friends with your colleagues and contribute to our diverse and inclusive culture.  You will also contribute to making doctors’ lives better by reducing the administrative burden they face every day. You will be hungry to contribute and make a difference in the product quality.

Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: you know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You know that perfect is the enemy of the good – you like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• 5 to 8 years of work experience
• Proficiency using Android SDK 
• Kotlin experience is a must. Swift is a plus.
• Experience with Android frameworks such as Jetpack compose
• Must have experience with testing tools like JUnit etc.
• Familiarity with RESTful APIs and third-party libraries (e.g., Retrofit, OkHttp, etc.).
• Experience building and shipping apps to Google Play store
• Must have at least 1+ apps on listed in Play store
• Experience in working with large scale distributed applications
• DevOps experience is a plus as well
• Any formal degree is preferred, but not necessary
• Strong grasp of CS fundamentals including algorithms, data structures and design is preferred
• Bachelors/Masters degree from a Tier 1 college or university

* We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

What we want to accomplish and why we need you.

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do every day?

We are looking for a Software Architect  to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.

The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.

On a day to day basis, you will: 

• Maintain architectural coherence across a complex and wide surface area. 
• Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
• Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
• Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
• Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points. 
• Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents. 
• Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
• Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups

QUALIFICATIONS 

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience 
• 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level 
• Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code 
• Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug 
• Experience operating multi-TB storage systems with active OLTP traffic 
• Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift) 
• Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth 
• Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration 
• Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
• Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces 
• Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus 
• Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus 

What We're Looking For

• Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
• Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
• Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
• Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build 

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

We are seeking a proactive Software Development Engineer in Test with strong software engineering skills and a quality-first mindset. You will own the design, development, and scaling of test automation frameworks across Web, Mobile, API, and backend services, while ensuring high-quality delivery. This role involves driving test strategy, mentoring junior team members, and collaborating with developers, product managers, and DevOps to embed quality throughout the software development lifecycle. 

Responsibilities:

• Automation, Coverage & Mobile Testing 

• Design and maintain automation frameworks for Unit, Integration, Regression, and End-to-End testing. 

• Define and monitor test coverage across UI, API, and database layers to ensure comprehensive quality assurance. 

• Develop and manage test scripts using tools like Playwright, Cypress, Jest, and Cucumber. 

• Implement and maintain mobile app testing pipelines, including automated test execution with BrowserStack, to ensure reliable cross-platform quality. 

• Functional & Non-Functional Testing  

• Design, execute, and maintain functional, performance, load, and stress tests using tools such as JMeter and k6. 

• Perform security validation and edge-case scenario testing to ensure application reliability and resilience. 

• CI/CD Integration & Observability 

• Integrate automated tests into CI/CD pipelines using tools like GitHub Actions or Jenkins. 

• Collaborate on deployment activities, including rollback verification and post-deployment validation. 

• Monitor application and test performance using tools such as CloudWatch, Datadog, Grafana, or Kibana to proactively detect issues and ensure system health. 

• SDLC Involvement & Agile Practices   

• Actively contribute to Agile ceremonies and backlog grooming sessions with a focus on understanding both functional and non-functional requirements, ensuring clarity around testability, performance, and reliability. 

• Define test strategies early in the lifecycle and ensure traceability from requirements to test cases and results to maintain coverage and accountability. 

• Code Quality & Version Control 

• Follow Git-based workflows and branching strategies for effective collaboration throughout the SDLC. 

• Review test code, enforce quality standards, and document test scenarios, automation architecture, and quality KPIs to ensure transparency and maintainability. 

• AI driven quality engineering  

• Leverage Generative AI and prompt engineering techniques to accelerate test case generation, improve coverage, and enhance productivity in QA workflows. 

• Support testing of Generative AI applications, ensuring compliance, reliability, and quality through thorough validation of outputs and behaviors. 

• Leadership & Mentorship  

• Mentor junior SDETs and QA engineers on best practices in test automation, debugging, and test design, fostering a culture of quality and continuous learning. 

• Lead test planning and strategy for major features, services, or cross-functional initiatives, ensuring test coverage across functional and non-functional areas. 

• Align QA goals with product and engineering roadmaps, collaborating closely with stakeholders to ensure quality is integrated from planning through release. 

Knowledge, Education and Experience:

• Bachelor’s or master's in computer science, Engineering, or related field 

• 3-5 years of SDET experience with strong skills in TypeScript, scripting, and automation tools (Playwright, Cypress, Jest, Appium, Selenium) 

• Hands-on with AWS (Lambda, DynamoDB, SQS, EventBridge, API Gateway), microservices, and event-driven architectures 

• Experience in mobile testing and automation using Sauce Labs or similar platforms, and frameworks like Appium or equivalent for cross-device validation. 

• Proficient in SQL/NoSQL; able to write complex queries for backend, data validation, and end-to-end testing 

• Skilled in Agile, Git, and CI/CD with test automation integration 

• Experience in performance testing, observability, error tracing, and exposure to security testing practices 

• Familiar with AI tools for test generation/analysis (e.g., Generative AI) and contributing to bug fixes and product improvements 

• Strong communicator in global teams with experience mentoring junior QA/SDET engineers 

Why Join bswift?

At bswift, we empower our employees to make a meaningful impact, innovate, and grow. Joining our team means stepping into a collaborative and dynamic environment that values creativity, initiative, and a passion for client success. We are dedicated to fostering an inclusive workplace that celebrates diversity and values each team member’s unique contributions.

Benefits of Working at bswift:

• Comprehensive Health Benefits: Insurance coverage and health plans to support your wellness and that of your family.
• Competitive Compensation: A compensation package that recognizes your skills, experience, and contributions, including performance-based incentives for most roles.
• Hybrid work-model: With Flexible working hours 
• Retirement Savings Plans: Options to help you plan for a secure financial future with employer-sponsored retirement savings programs.
• Professional Development: Opportunities for career growth, including training and access to resources to support your career progression.
• Supportive Culture: A work environment that encourages collaboration, open communication, and creative problem-solving, where your voice and ideas are valued.
• Employee Wellbeing Initiatives: Programs focused on mental health, financial planning, and wellness resources to help you thrive inside and outside of work.

Make an Impact: At bswift, your work directly contributes to transforming how organizations approach benefits administration and client engagement. Join us to be part of an organization that is making a meaningful difference in the lives of our clients and their employees.

More about the role:

Burson Group India is looking for a Public Relations Manager for our Mumbai Office. The individual will join our client servicing team and work with the Pharma, Health & Wellness Practice. For this requirement we are looking for a manager with good understanding of the Healthcare sector.

As a PR Manager, you are expected to support day-to-day client activities and provide guidance to junior team members through ongoing counsel and effective delegation. You will contribute to Burson’s performance by managing client relationships and integrated communication (IC) programs, satisfying, and delighting clients, helping, generate new business and growing existing accounts. You are required to support our corporate strategy and your practice or office to help ensure superior client service, a winning culture and profitability.

What you'll do:

Client Service

• Stay current on your clients’ businesses, industries and competitors and use your knowledge to develop comprehensive, strategic, and integrated communications programs that complement the client’s business objectives and deliver results.
• Act as a day-to-day client leader and maintain a clear and consistent communication channel between the client and the account team.
• Be actively involved and oversee quality implementation for one or a group of accounts within time and budget constraints.
• Manage client relationships and be the client’s key contact, counselor, and strategic thinker.
• Timely Decision Making – The ability to identify a problem and find solutions. Makes decisions in a timely manner, using available information and under tight deadlines.
• Have strong verbal and written communication skills including development of various types of materials such as Q&A, key messages, holding statements, press release etc.
• Be able to support the senior managers and leaders in resolving client issues.
• Maintain a strong rapport with journalists/bloggers/media members who cover your clients’ industries and businesses to optimize channels.
• Help develop media strategies, write pitch letters, and respond to media queries.
• Stay updated on social media channels, trends and analytical tools and make recommendations to strengthen our capabilities.
• Support the digital media strategy implementation.
• You must possess a strong familiarity with how Generative AI tools are used across communications programmes, especially in planning, research, ideation, content creation, and daily operations.

Business Development:

• Support the Directors and other senior leaders to identify new business opportunities within existing and potential clients.
• Be proactive during new business brainstorms and take ownership of portions of new business proposals under the guidance of Directors and senior leaders.

Talent Management:

• Coach and mentor junior team members and help them grow within the organization and are able to add value to the client and the team.
  bursonglobal.com
• Create an inclusive and welcoming environment that engages all individuals without bias and demonstrate flexibility in a changing work environment.
• Provide on the job training to new team members on day-to-day tasks, delegate tasks to junior team members with clarity and oversee quality implementation within specified timelines.
• Provide continuous constructive feedback, keep immediate superiors briefed on team member performance ensuring recognition of good performance and resolution of concerns in a timely manner.

Financial Management:

• Record time in Maconomy and make supervisors aware of your time spent so our business can be managed profitably.
• Ensure all activities carried out for clients are properly documented and budget and status reports are submitted.
• Follow agency procedures for client budgets, budget tracking, contract approval and billing rates and allocate resources for agency profitability.
• Manage vendor relationships, costs, and invoicing.

Agency Responsibilities:

• Use Burson’s intranet and resources; keep your profile updated.
• Be a brand ambassador and help in recruiting top talent by knowing our capabilities network.
• Adhere to Burson’s confidentiality and disclosure agreements and code of ethics/conduct.

Experience that contributes to success:

• 4+ years of experience in Public Relations. Prior work experience of Pharma, Health & Wellness Practice
• Degree in Communications or related discipline.

Title: ITS Engineer (Application Packaging)

Location: Andheri (East), Mumbai

Reports to: Service Director

ABOUT US 

Agilisys is at the forefront of digital transformation and innovation in the public services sector. With over two decades of experience, we have established ourselves as a trusted partner for governments, local authorities, and organisations nationwide. Our mission is to empower our clients to deliver exceptional public services by harnessing the full potential of technology and data. 

OUR VALUES 

Partnership: we become one team and family with organisations, helping them to navigate change and stay agile. 

Integrity: our people really care, going beyond the brief to make change happen for organisations and citizens. 

Innovation: we bring together the right technologies and services to design solutions that work. 

Passion: we are passionate about – and dedicated to – public services and improving people’s lives. 

THE ROLE:

We are hiring a High-Agency Engineer to transform legacy endpoint management into a high-velocity, AI-augmented operation. Joining our Center of Excellence (CoE), you won't just maintain system, you will leverage GenAI and PowerShell to automate the intersection of Application Packaging, Cloud Deployment (Intune/SCCM), and Vulnerability Management.

ABOUT YOU:

Must-Have's

• 4+ years of hands-on experience with SCCM, Microsoft Intune, InstallShield, and ORCA for application packaging and deployment.
• Strong experience with VBScript and advanced PowerShell scripting, along with a solid understanding of Windows Registry and File System internals.
• 3+ years of experience in vulnerability management, including patch lifecycle management using tools such as WSUS, Active Directory, and endpoint security solutions.
• Demonstrated ability to manage application packaging, deployment, and remediation processes in enterprise environments.
• A strong AI-first mindset, with experience leveraging Generative AI tools to improve efficiency in triage, packaging, testing, deployment, and operational tasks.
• Hands-on experience using GenAI or automation tools to streamline application packaging, testing, deployment, and vulnerability remediation workflows.

Desired Skills

• Microsoft or vendor certifications (Intune, SCCM, Windows, Azure, ITIL).
• Experience supporting UK/regulated clients.

Who You Are 

• Behaviours & Mindset: We will hire, assess, and manage you on behaviours as much as technical skills.
• High Agency: You solve problems before they’re reported.
• Ownership: You deliver end-to-end outcomes, not just closed tickets.
• Outcome-Driven: You obsess over metrics like Patch Hygiene and Zero-Rework.
• Communicator: You can explain complex technical risks to UK-based stakeholders with ease. Clear, structured, empathetic updates across tech and business audiences.
• Collaboration – Support others, adapt under pressure, maintain team morale.

PROCESS 

Simply submit your CV. We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. Please note that our roles are primarily office based, with modern and well-connected office locations in Andheri East. 

By submitting your CV, you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing talentacquisition@agilisys.co.uk – but please note that this means we will no longer consider you for the role you have applied for. 

We have a rigorous recruitment process, which we use for all our roles to ensure we attract the very best talent. 

Agilisys is committed to building a diverse and inclusive workforce and encourages applications from all backgrounds. 

#LI-PS1

We are looking for a forward-thinking intern who lives at the intersection of Human Resources, Process Architecture, and Artificial Intelligence. You won't just be managing paperwork; you will be the architect of our digital transformation. Your mission is twofold: optimizing our talent acquisition engine using AI, and mapping the "Rubrik Journey" by streamlining workflows and building a world-class internal knowledge base.

What You’ll Do:

• AI & Systems Integration: Assist in the rollout of AI to revolutionise how we source and engage talent, ensuring seamless connectivity across our tech stack.
• TA Process Architecture: Design and scale standardised recruitment workflows—from intake meetings to offer generation—to ensure a high-velocity, bias-free hiring experience.
• Process Mapping & Architecture: Partner with HR, Payroll, and IT to document end-to-end workflows (onboarding, internal mobility, etc.) to bring clarity to global People processes.
• Knowledge Management: Build and maintain an AI-ready "PeopleOps Wiki," ensuring employees and candidates have self-service access to human-friendly information.
• Data-Driven Insights: Create dashboards to track the efficacy of AI-driven sourcing and identify "moments of truth" in the employee lifecycle to boost retention.
• Enablement: Create "How-To" guides and lead training sessions for the global team on new AI features and standardised SOPs.

Who You Are:

• The Tech-Savvy HR Pro: Pursuing an MBA/Master’s in HR, Business, or Data Science with a genuine obsession with Generative AI and automation.
• AI Systems Fluency: You’ll act as our "AI specialist", using tools like Glean for cross-platform knowledge retrieval. You will assist the team in using LLMs (like Claude or Gemini) to synthesise complex policy documents and help structure data to improve our internal workflows.
• Data Literacy: Ability to use Google Sheets to track "What’s working?" and "What’s not?" using basic formulas and charts.
• Workflow Mapping: You can visualise a journey (like a new hire’s first day) and identify exactly where the "friction" or "manual gaps" are.
• Detail Auditing: A "sharp eye" for catching errors in policy documents or data sets before they reach the employee.
•  Clarity-First Communicator: You can translate "legal-speak" and complex policies into simple, engaging, and inclusive language

Job Overview:

The Degrees business at Coursera partners with leading universities around the world to launch and scale online degree programs that deliver career-transformative outcomes for learners. The team works cross-functionally with marketing, enrollment, product, and operations to help partners meet their recruitment and revenue goals.

As a Degree Success Manager, you will serve as the primary strategic and operational lead for a portfolio of university partners. You will own the degree component of the partnership, manage day-to-day relationships, oversee program performance, and ensure marketing and recruitment strategies are aligned with the program needs. Working closely with the Degrees marketing and enrollment teams, you’ll develop and deliver partner/program specific strategy briefs based on analysis of recruitment funnel.

This role blends relationship management, marketing and recruitment strategy, and operational discipline. The right candidate will bring strong communication skills, data fluency, and a bias for action to help our partners succeed in every recruitment cycle.

Key Responsibilities:

• Serve as the day-to-day point of contact for university partners’ degree programs, ensuring smooth coordination across marketing, enrollment, product, and support.
• Partner with internal teams to develop program-specific marketing and recruitment strategies and plans aligned to partner goals and Coursera best practices.
• Monitor and analyze funnel metrics to identify trends, risks, and optimization opportunities.
• Collaborate with Enrollment to ensure lead quality, timely follow-up, and conversion improvements throughout the funnel.
• Manage updates to degree program pages, webinar planning, email nurtures, and other promotional tactics in partnership with Degrees Growth Marketing team.
• Lead quarterly recruitment reviews and degree QBRs by compiling data, insights, and recommendations to inform partner discussions.
• Track and manage partner requests, escalations, and deliverables, ensuring issues are resolved quickly and communication remains proactive.
• Build trusted relationships with partner stakeholders through transparency, responsiveness, and a commitment to shared success.

Basic Qualifications:

• 6+ years of experience in account management, recruitment marketing, or partner success roles supporting recruitment or marketing initiatives.
• Demonstrated ability to manage client relationships and develop customized marketing or enrollment plans to address funnel challenges.
• Analytical skills and experience using data to assess performance and guide decisions.
• Excellent written and verbal communication skills; comfortable presenting to external partners and cross-functional leaders.
• Strong organizational and project-management skills with the ability to manage multiple programs simultaneously.

Preferred Qualifications:

• Experience in higher-education marketing, online enrollment management, or edtech partnerships.
• Familiarity with marketing and enrollment funnels, CRM and marketing-automation tools
• Proven ability to translate marketing data and insights into actionable partner recommendations.
• Track record of improving campaign or funnel performance through testing and optimization.
• Ability to navigate ambiguity, build alignment, and execute in a fast-paced, matrixed environment.

#LI-AK1

Location Details: Gurugram

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

Join our Team

If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled engineers in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as solve technical problems in model evaluation, simulation and more.

What you'll get to do...

• Develop and implement advanced machine learning algorithms. 
• Build Intelligent Software using Large Language Models (AI Agents). 
• Design and refine ML models to enhance their performance, scalability, and robustness. 
• Assess, design and curate comprehensive evaluations for open-ended GenerativeAI problems. 
• Collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives. 
• Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry. 

Your experience should include...

• 6+ years of overall experience in machine learning related roles.
• Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc. 
• Familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code. 
• Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc. 
• Proficiency with prompt engineering and large language models (LLM) and Natural Language Processing (NLP).

You might also have...

• Experience building conversational systems. 
• Experience in designing comprehensive evaluations and verification methods. 
• Proficiency in Typescript is a plus.

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

• Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
• Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
• Be a data architect for Finance , bring different data into cohesive and answer critical questions
• Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
• Scale data infrastructure to support large volumes and complex financial models.
• Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
• Translate complex financial concepts and KPIs into scalable, maintainable data models.
• Implement strong controls for data quality, lineage, and governance.
• Maintain clear documentation of data transformations, metric definitions, and AI model logic.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
• Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise 
• Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
• Experience with data orchestration tools (Airflow, dbt) and tableau platform
• Hands-on experience with Python, PySpark, or R for automation and model integration.
• Proven ability to translate financial logic into scalable data models.
• Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred. 
• Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
• Ability to evaluate and apply AI responsibly in financial contexts.

 #LI-ONSITE

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?” 

Our User Research team is a critical partner in this mission, responsible for driving research that uncovers deep insights and shapes our product and company strategy. As a Staff User Researcher, you will work with a globally distributed team to apply your craft and expertise across a range of products and services. You will tackle complex research questions, delivering insights that ensure we are solving the right problems for our customers.

The Finer Print 

As a Staff UX Researcher in India, you will lead and establish user research efforts locally, embedding UXR practices within our growing India-based cross-functional teams and taking ownership of high-impact research initiatives for a key Okta product area. This is a unique opportunity to promote and cultivate a user-centered culture, guiding local product, design, and engineering partners who are new to direct collaboration with UX research. You will work closely with these local teams daily, while also collaborating effectively with your global UXR colleagues and stakeholders. Your research will directly inform critical decisions, contributing to both the product's long-term vision and near-term development. You will be instrumental in establishing research operations in India, ensuring that foundational and evaluative insights are effectively leveraged to drive exceptional user experiences.

In this role, you have the opportunity to:

• Champion user-centered best practices and build strong, trusted relationships with product, design, and engineering leaders within our growing Bangalore office
• Drive collaborative research initiatives with cross-functional teams and guide them in leveraging insights to inform decisions and foster a culture of curiosity
• Communicate complex insights clearly and persuasively to diverse audiences across all levels and time zones, ensuring seamless alignment within our global team
• Utilize LLMs (e.g., ChatGPT, Claude) to accelerate end-to-end research workflows, from literature reviews and transcript analysis to report drafting.
• Synthesize insights at scale by leveraging AI-augmented repositories and tools across multiple concurrent projects, without sacrificing research rigor.
• Establish and refine UX research processes, operational frameworks, and supporting tools tailored to the needs of the Bangalore office, aligning with our global UX Research standards
• Build and manage key research operations, including leading APAC participant recruitment efforts and collaborating with our global UX Research Operations team to optimize our Dovetail research repository for local stakeholders

• Lead end-to-end research initiatives, expertly applying a flexible range of methodologies (generative and evaluative) to illuminate customer needs and deliver high-impact insights that drive product growth
• Share your expertise and insights with the global UX Research team, and play a pivotal role in building UX Research capacity within the Bangalore office as the team grows
• Access global learning resources and collaborate with experienced researchers worldwide to continuously enhance your skills

Who We Are Looking For

• Demonstrated ability to effectively introduce and integrate UX Research into teams with limited prior exposure, clearly articulating its value and driving buy-in
• Experience thriving in a remote, globally distributed team environment, with a proven ability to manage asynchronous communication, maintain alignment across different time zones, and build strong rapport and influence with remote stakeholders across cultures
• You possess a proven ability to critically evaluate AI-generated outputs for bias, hallucinations, and gaps; you know when to trust, refine, or override AI and can articulate that judgment.
• A proactive and highly self-driven approach, with a proven ability to independently identify research opportunities, define scope, and successfully project manage complex initiatives end-to-end, consistently delivering high-quality insights on time and within scope
• Resourcefulness in navigating ambiguity and establishing new processes and tooling where needed
• Proven experience as an embedded UX Researcher with deep expertise in applying a wide range of methodologies (e.g., usability studies, contextual inquiry, surveys) to identify and elevate user needs, driving valuable product outcomes
• Able to translate business problems into human-centered research questions, applying your technical understanding to inform company goals
• Exceptional proficiency in communicating complex research findings and insights, adeptly tailoring presentations and guiding collaborative sessions with diverse cross-functional partners and senior leadership to drive alignment and informed decisions
• Experience with products made for developers, administrators, or other technical audiences
• Strong decision-making and problem-solving capabilities while working with constraints
• Empathy for users and a passion for understanding technical experiences
• Experience working on security products is a plus
• A proactive and curious mindset with a dedication to continuous professional development, and a proven ability to contribute positively to the team's research culture and skill set

Qualifications:

• 8+ years of experience in a User Research or related role, with a strong digital portfolio demonstrating end-to-end research on shipped B2B or enterprise SaaS products. (A portfolio is required for consideration).
• Practical experience using LLMs to accelerate research workflows, with specific examples of measurable impact on project timelines or scale.
• Expertise in a wide range of qualitative and quantitative research methods.
• A Master’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, or a related field is preferred.

P10891_3414578

• #LI_Hybrid

Sr Analyst, Field Analytics

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth.

You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy.

Job Duties & Responsibilities:

• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization.
• Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.
• Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.
• AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.
• Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data & Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives

Required Skills & Qualifications: 

• 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model.
• Technical Stack Expertise in SQL (Snowflake), BI Visualization tool (Tableau), and CRM data (Salesforce)
• Practical experience using Generative AI (e.g., GPT, Gemini, or GitHub Copilot) to improve technical productivity.
• A strong "documentation-first" mindset with the ability to create clear, concise technical and functional manuals.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global team.
• Proven ability to translate complex data logic into clear, concise narratives.

Preferred Qualifications: 

• Proficiency with scripting (python) & data modeling (dbt) 
• Deep understanding of enterprise software sales processes, field operations, and cross functional GTM mechanics.
• Proven ability to operate independently within a global model, taking complex requirements from US-based stakeholders, execute high-quality technical work during India business hours, and provide comprehensive handoffs that allow projects to progress 24/7 without real-time oversight.

#LI-Hybrid

#P24939

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?”

As a Staff Product Designer for Okta, you’ll work with a globally distributed design team to apply your craft and expertise on a range of products and services. Our culture provides the opportunity to explore the technologies we’re researching and investing in. Some of your work will be functional, practical user experience design, where you will help our design team drive cohesive user experience across Okta’s portfolio of products. Other work will be speculative, generative explorations that you carry out in collaboration and partnership across the organization to flesh out, frame, and help prioritize solutions in an ever-evolving and complex, often ambiguous, problem space.

The Finer Print 

You will lead user experience strategy and execution for our Okta Research & Development (ORD) business unit. Specifically, ORD will solve every identity use case at work – for all types of people (employees, business partners, contractors, frontline workers), for all types of resources (SaaS, servers, privileged resources, machines, etc.), for the largest and most secure businesses in the world. As a designer, your focus will be on helping us build a secure, trusted, and unified platform with deep integrations.

In this role, you have the opportunity to:

• Lead a holistic, human-centered approach to design.
• Guide and oversee the UX strategy alongside cross-functional partners, collaborating to take products from concept to launch and define the long-term strategy for your product area.
• Design and facilitate co-creation design workshops with Product Management, Engineering, and Design to define opportunities within our products to solve valuable customer problems.
• Craft user-centered artifacts and end-to-end journeys to align teams contributing to Workforce Identity Management around the broader user experience.
• Collaborate with other Okta designers to ensure consistency across interface experiences across different user scenarios.
• Inspire teams to think bigger and act smaller, instilling an iterative process and fail-forward mentality to design simple and delightful user interfaces for new and existing Okta products.
• Advocate, mentor, and educate on the benefits of design thinking to product teams and new designers alike; partnering with UX team members to uphold our principles and standards.
• Mentor junior designers and contribute toward team-level and design practice and process improvements.
• Work with Design Leadership to define and drive the frameworks, contracts, and standards for others to be able to then build on top of and add value to, ensuring the quality of UX delivery.
• Find creative ways to continuously learn from customers and users; collaborating with user researchers to research and synthesize user needs to help conceive, define, test, and evolve solutions for our users across a range of mediums and experiences; Advocate for users and deliver user and customer outcomes in a dynamic work environment.
• Help product designers create success metrics to illustrate a clear understanding of how their designs impact customers.
• Present work, concepts, and new ideas to cross-functional team members, adjacent teams, and senior leadership; working to distill complex technical problems into clear, conceptual models and simple, elegant solutions.
• Keep abreast of competitor products and industry trends, including the practical application of AI in the design process; Perform competitive and comparative analysis to understand existing patterns.

Who We Are Looking For

• You have experience leading cross-discipline teams and exemplify leadership.
• You are passionate about solving complex problems, crafting and sharing product and design UX principles to help teams deliver cohesive user experiences.
• You are great at collaborating, sharing work early and often, and seeking constructive feedback from peers and stakeholders.
• You are a pragmatist who actively uses AI tools to improve and accelerate your day-to-day design workflow.
• Demonstrated, hands-on experience using AI-powered design tools (e.g., for ideation, asset generation, or prototyping) in your daily design activities.
• You have the heart of a teacher and can help mentor and train people. You build and share empathy with people to deeply understand them and their needs.
• You are a thought leader, undertaking explorations into new technologies and territories while also delivering practical designs.
• You see design as a partner in shaping strategic and operational product and UX outcomes; comfortable owning all stages of design for multiple teams within a given product area.
• You bring a systems-thinking lens to the conversation.
• You are passionate about supporting teams with a wide variety of experience, backgrounds, and interests.
• Your portfolio will show that you've worked on complex and/or technical projects across all aspects of the design process (conceptual design, interaction design, information architecture, and visual design).
• You are adept at working in a diverse, globally distributed team and have experience with remote collaboration tools.

Qualifications:

• 8+ years of relevant work experience as a Product Designer or UX Designer, with a portfolio showcasing shipped B2B or enterprise products.
• Degree in a related field or relevant work experience as a Product Designer or UX Designer.
• Proficient in Figma, Sketch, Adobe Creative Suite, and/or similar design tools.
• Possesses at least a basic understanding of HTML/CSS/JavaScript.
• Can provide a digital portfolio that showcases solid skills across a variety of projects, including work that has been seen and used successfully in actual products. (Portfolio link required when applying.)

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Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!

Job Duties and Responsibilities

• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
• Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
• Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
• Provide technical consultant, best practices, and problem resolution.
• Support & resolve production issues
• Develop and maintain integrations with third-party applications via REST/SOAP APIs

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
• Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
• Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
• Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
• Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
• Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment

Education and Certifications

• A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
• NetSuite Administration or ERP consultant certification is an advantage

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The Opportunity:

Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets.

What You'll Do:

• Strategic Alignment: Drive cross-functional alignment and prioritization of Finance analytics initiatives to generate actionable insights and tangible business improvements.
• Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.
• Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).
• Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.
• Enterprise Partnership & Analytics Foundations: Partner with the Enterprise Data & Insights team to align Finance with company-wide data standards and policies while developing the foundational infrastructure and capabilities of the Finance Analytics function.
• Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Establish visualization best practices and storying and enable Finance report builders to adopt them.
• Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our analytics platforms.
• End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.
• Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.
• Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, data technologies, and AI capabilities for interactive analytics to enhance our analytics capabilities.
• Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.
• Data Governance & Quality: Champion data accuracy, consistency, and integrity across Finance, driving robust governance and maintaining core foundations such as the reporting inventory, structure, access, and data dictionary.
• Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.
• Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 8+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.
• Expert-level proficiency in Tableau, including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably Fivetran, and the ability to design and implement data pipelines.
• Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• AI literate, experience with traditional and generative AI. 
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

Bonus Points For:

• Experience in SaaS software industry is highly preferred.
• Experience with other data visualization tools (e.g., Power BI, Looker).
• Familiarity with cloud-based data platforms (e.g., BigQuery).
• Familiarity with basic statistical concepts and methodologies is a plus.

This role is hybrid, with the expectation of working from our local office on specified days based on local expectations. We will continuously assess this arrangement, and it may be subject to change based on business needs and evolving circumstances.

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P22262_3137714

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

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The Overview 

At Okta, we're building a world where anyone can safely use any technology, and, within Okta Platform R&D, we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users, but to ask, “what more can we make possible?”

As a Principal Product Designer for Okta, you’ll work with a globally distributed design team to build the forward-looking vision for Okta’s entire suite of services. You will shape a culture that deeply appreciates our customers and how to best serve them. Your work will go deep at times, but you’ll also be constantly seeking opportunities to connect journeys, experiences and teams horizontally across the Okta Platform suite. You notice the details and deeply understand how the product works. Ensuring that using our products together creates an experience that is “greater than the sum of its parts” will be critical to Okta’s success in the coming years.

The Finer Print 

This role will be focused on the UX strategy for several products and pillars within the Okta Platform. Designers will be embedded within product pillars and working alongside engineering and product teams. You’ll bring this strategy to life through explorations, prototypes, and other design artifacts that foster clarity across groups and teams. In addition, you’ll be an effective collaborator and communicator – elevating the voice of design across functions and pillars. Finally, you’ll play a key part in elevating the design practice at Okta, both in terms of craft and team culture.

In this role, you have the opportunity to:

• Lead a holistic, human-centered approach to design, especially when designing for AI-powered features and intelligent systems.
• Guide and oversee the UX strategy alongside cross-functional partners, collaborating to take products from concept to launch and define the long-term strategy for your product area.
• Design and facilitate co-creation workshops with Product Management, Engineering, and Design to define opportunities within our products to solve valuable customer problems.
• Explore and design AI-powered solutions to simplify complex user workflows, enhance security through intelligent detection, and provide personalized user assistance.
• Leverage generative AI and other AI-powered tools to accelerate the design process, from ideation and content generation to prototyping and user flow analysis.
• Craft user-centered artifacts and end-to-end journeys to align teams contributing to Okta’s Platform R&D around the broader user experience.
• Collaborate with other Okta designers to ensure consistency across interface experiences ensuring trust and transparency in all AI-driven interactions.
• Inspire teams to think bigger and act smaller, instilling an iterative process and fail-forward mentality to design simple and delightful user interfaces for new and existing Okta products.
• Advocate, mentor, and educate on the benefits of design thinking to product teams and new designers alike; partnering with UX team members to uphold our principles and standards.
• Mentor fellow designers and contribute toward team-level and design practice and process improvements, including the ethical application of AI in design.
• Work with Design Leadership to define and drive the frameworks, contracts, and standards for others to be able to then build on top of and add value to, ensuring the quality of UX delivery.
• Find creative ways to continuously learn from customers and users; collaborating with user researchers to research and synthesize user needs to help conceive, define, test, and evolve solutions for our users across a range of mediums and experiences; Advocate for users and deliver user and customer outcomes in a dynamic work environment.
• Help product designers become data aware to illustrate a clear understanding of how their designs impact customers,  including the ones around adoption and effectiveness of AI-driven features.
• Present work, concepts, and new ideas to cross-functional team members, adjacent teams, and senior leadership; working to distill complex technical problems into clear, conceptual models and simple, elegant solutions.
• Keep abreast of competitor products and industry trends; with a keen eye on advancements in AI trends and their application to identity and security domain.

Who We Are Looking For

• You have experience leading cross-discipline teams and exemplify leadership.
• You are passionate about solving complex problems, crafting and sharing product and design UX principles to help teams deliver cohesive user experiences.
• You are a thought leader, undertaking explorations into new technologies and territories, including AI, machine learning, and their applications in identity and security.
• You bring an AI first mindset, demonstrated by practical experience using various AI tools in your daily design workflow to enhance creativity and efficiency. You constantly seek opportunities to apply intelligent automation and data-driven insights while championing design for trust, explainability, and ethical considerations.
• You are great at collaborating, sharing work early and often, and seeking constructive feedback from peers and stakeholders.
• You have the heart of a teacher and can help mentor and train people. You build and share empathy with people to deeply understand them and their needs.
• You see design as a partner in shaping strategic and operational product and UX outcomes; comfortable owning all stages of design for multiple teams within a given product area.
• You bring a systems-thinking lens to the conversation.
• You are passionate about supporting teams with a wide variety of experience, backgrounds, and interests.
• Your portfolio will show that you've worked on complex and/or technical projects across all aspects of the design process (conceptual design, interaction design, information architecture, and visual design).
• You are adept at working in a diverse, globally distributed team and have experience with remote collaboration tools.

Qualifications:

• 12+ years of product design experience on complex B2B enterprise products, with demonstrated ownership of the end-to-end design process—from discovery to delivery—across multiple product areas.
• Demonstrated proficiency in leveraging AI-powered design tools and plugins within your workflow (e.g., for generating design assets, data, or exploring layout variations).
• Possesses at least a basic understanding of HTML/CSS/JavaScript.
• Proven experience integrating AI tools into your day-to-day design activities to solve practical design challenges.
• Can provide a digital portfolio that showcases solid skills across a variety of projects, including work that has been seen and used successfully in actual products. (Portfolio link required when applying.)

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About the Team & Role

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Our Global Benefits team is dedicated to ensuring Rubrikans are supported through every stage of their journey.

As our India Benefits & AI Operations Intern, you will play a pivotal role in our own AI transformation. Reporting to the Manager of India Benefits, you will bridge the gap between human-centric support and cutting-edge technology. Your mission is to audit, structure, and modernize our benefits data so it can be seamlessly leveraged by AI tools, ensuring our employees get the right answers at the right time.

What You’ll Do

• Build the Foundation: Develop a fully functioning, AI-ready knowledge base for all India benefits (employee-facing) to provide instant, clear support.
• Market Benchmarking: Research and benchmark India benefit trends and competitive offerings to ensure Rubrik’s programs remain market-leading, inclusive, and aligned with our EVP.
• Optimize Internal Ops: Create internal-facing documentation for India and APAC benefits processing to streamline workflows for the Global Benefits team.
• AI Data Auditing: Review and refine existing policy documents to ensure they are structured for high-performance AI tools like NotebookLM or similar LLM platforms.
• Enhance Jira Service Management: Build out and refine knowledge articles within the Jira help desk to improve self-service capabilities.
• Process Automation: Identify and propose opportunities to leverage AI to automate manual benefit administration tasks.
• Cross-Functional Collaboration: Partner with HR Operations and IT to ensure benefits data is accessible, inclusive, and accurate across all internal platforms.

What You’ll Bring

• Academic Focus: Currently pursuing a degree in Human Resources, Business Administration, Data Science, or a related field.
• Technical Curiosity: High tech-fluency with a deep interest in how Generative AI and automation can transform People Operations.
• Communication Excellence: Ability to translate complex benefit policies into simple, accessible, and inclusive language.
• Analytical Mindset: Strong attention to detail with the ability to audit large sets of information and conduct market research.
• Problem-Solving: A proactive approach to identifying manual gaps and proposing digital-first solutions.
• Collaborative Spirit: Comfortable working in a fast-paced, global environment with a focus on team-oriented outcomes.

Nice to Have

• Familiarity with Jira Service Management or similar help desk ticketing systems.
• Basic understanding of India statutory benefits (EPF, ESI, Gratuity).
• Experience with data structuring or competitive research projects.

What You’ll Gain

• Impact: You won't just be "learning"—you will be building the actual infrastructure Rubrik uses to support its employees.
• Growth: Direct mentorship from seasoned benefits leaders with over 15 years of experience in the India market.

Empowerment: The autonomy to experiment with AI tools and shape how we deliver benefits in the AI era.

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

Overview:

Guidepoint Engineering seeks an experienced Scrum Master as an integral member of the Toronto-based Technology Hub. The Toronto Hub will serve as the base of our new Data/AI team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.

What You'll Do:

• Facilitate all ceremonies and planning events for multiple teams including the daily stand-up, sprint planning, sprint review and sprint retrospective, release planning.
• Guide the teams to help understand how to estimate features and capabilities, supporting realistic commitments.
• Collaborate with external teams to address any blocking issues, helping Scrum teams to remain focused on their goals. Represent Scrum teams at appropriate ceremonies, including Scrum of Scrums.
• Work with Product Owners to set OKRs linked to epics in JIRA and ensure a healthy backlog.
• Establish standard set of agile metrics across multiple teams to improve performance in quality, predictability, flow, and velocity, while supporting team focus on daily, sprint and release goals.
• Mentor, motivate and drive process improvements with team members
• Facilitate retrospectives to help identify areas of opportunity for improvement and take responsibility for identified actions.

Required Technical Qualifications: 

• 8+ years’ experience in a Scrum Master role with strong knowledge in Agile principles and practices. Scrum master certification is a plus.
• Experience being scrum master for multiple globally distributed teams.
• Expert knowledgeable of Jira and Confluence, required.
• Working knowledge of OKRs and its implementation in Jira.
• Capable of motivating teams to take ownership of their processes.
• Strong interpersonal and influencing skills with the ability to interact at all levels within a global and diverse organization.
• Comfortable and composed working in a high-pressure environment to meet deadlines.
• Strong drive for results, resourceful with ability to prioritize and work independently or in groups.
• Excellent verbal and written communication skills.
• Consensus building and negotiating skills.

What We Offer: 

• Competitive compensation 
• Employee medical coverage 
• Central office location 
• Entrepreneurial environment, autonomy, and fast decisions 
• Casual work environment 

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

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About The Position:

As a Sr Human Resource Associate, within our Regional Shared Service Centre you will join a fast-growing company and will have responsibility for supporting professionals we engage on behalf of our client. You will assist in the management of the back-end HR, Payroll, and legal service providers that support the infrastructure of our international entities. We are looking for someone with global exposure and experience throughout APAC & UAE.

Please note: this is a 9 month fixed term contract and we are ideally looking for someone who can start immediately

What you will do:

• Support key employee life cycle processes such as onboarding of new professionals, professionals' data management, absence managements, visa renewals. transfers, offboarding of professionals.
• Preparing HR documentation, i.e. employment contracts, employment contract amendments, HR policies, benefits enrollment documentation, payroll enrollment documentation, country-specific onboarding guides,employment certificates, certification of termination
• Organize and maintain employee records via our proprietary Platform: input, update and maintain customer & professional personal data, process various forms related to documenting human resources activities such as new hire, change of status, benefits, terminations, etc.
• Benefits administration on behalf of customers & professionals including collaboration with broker/insurer for professionals’ benefits enrollments.
• Provide payroll data, including time and expense details, to support payroll administration, working in close coordination with the payroll team and Local Payroll Provider.
• Carry out audits and checks on data changes to ensure accurate and timely payment for the professionals
• Participation in the continuous improvement of HR processes and assist in maintaining standard operating procedures and policies up to date
• Communicate effectively both verbally and in written form with professionals and our customers to explain and resolve queries and concerns (via email, and other means of communication)
• Ensure service excellence by following and committing to the established SLAs and SOPs
• Communicate and liaise with GP partners/vendors, including insurance vendors, local service providers, local payroll providers, pension providers ensuring strong collaboration and seamless coordination including internal teams in GP.
• First point of contact for professionals& customers during the onboarding and offboarding process

What we are looking for:
Minimum Requirements

• 2-5 years of HR operations experience (SSC experience desirable)
• Detailed knowledge of HR Procedures and policies
• Experience working within a Shared Services
• Basic knowledge of labor legislation throughout APAC & UAE region will be an added advantage
• Excellent customer service skills.
• Proficient in both written and verbal English with the ability to articulate clearly and effectively in various communication settings. 
• Literacy with MS Office 
• Possess a proactive 'test-and-learn' mindset; capable of quickly mastering and deploying new AI features and platforms due to fast pace environment. 
• Demonstrated AI literacy with the ability to integrate generative AI tools (e.g.,Gemini, Notebook LM) into daily workflows to increase efficiency and output quality. 
• Resourceful, problem-solving abilities with a focus on identifying and/or resolving issues effectively.
• Experience in stakeholder management, including building positive relationships with both internal and external stakeholders.
• Demonstrating strong self-motivation, attention to detail, and time management skills
• Ability to work in an international team composed of team members in different locations and from different cultures and backgrounds.
• Flexibility to accommodate different time zones based on customer and professional needs.

Preferred Qualifications

• Knowledge and experience in handling offboardings will be an added advantage.
• Proficiency in local languages such as Mandarin, Vietnamese, Korean, Japanese, or Thai would be considered an additional advantage.

Role Description

• As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Senior Applied Value Engineer stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Senior Applied Value Engineer specialize in domains (e.g. supply chain) and industries

Requirements:

• 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

About the role:

We are looking for highly skilled Associates who will be part of the Service Delivery team in India. The role involves reviewing and classifying industry product data to support accurate product search and discovery on client platforms. The Associates will follow defined guidelines, meet quality and productivity targets, work closely with the team, and adapt to changing processes and tools in a fast-paced environment

Responsibilities:

• Review, tag, and classify retail product data (including product titles, descriptions, images, and attributes) to improve search relevance and product discoverability.
• Apply standardized guidelines and classification rules consistently across tasks.
• Identify data discrepancies, missing attributes, or ambiguous cases and escalate them to the team lead when necessary.
• Maintain high standards of data accuracy, completeness, and consistency while meeting defined quality thresholds and turnaround times.
• Perform quality checks by reviewing, correcting, or reprocessing data to ensure compliance with program requirements.
• Remove duplicate or incorrect entries to maintain a clean and reliable product catalog.
• Collaborate with team members and contribute to shared goals and continuous improvement initiatives.
• Perform additional related tasks as assigned to support product search and classification programs.
• Demonstrate flexibility by adapting to changes in guidelines, tools, or workflows, and transitioning to new processes or task types as required by business needs.

Qualifications:

• Bachelor’s degree in any discipline.
• Minimum C1 Level of Proficiency in Spanish
• Good written communication skills in English.
• Strong attention to detail with the ability to follow structured guidelines and taxonomies.
• Basic understanding of e-commerce or retail product catalogs.
• Ability to process repetitive tasks accurately while meeting quality and productivity targets.
• Proficiency with computers and common tools (spreadsheets, web-based platforms).
• Ability to work independently as well as collaboratively in a team environment.

Preferred Qualifications:

• Prior experience in e-commerce, retail operations, data annotation, search relevance, or product catalog management.
• Familiarity with product taxonomies, ontologies, or classification systems.
• Experience working on search relevance, query-product matching, or product attribute enrichment tasks.
• Comfort working with large datasets and rule-based decision frameworks.
• Exposure to quality assurance processes or audit-based workflows.
• Ability to quickly learn new tools, guidelines, and domain-specific concepts.
• Be inquisitive and eager to learn in a dynamic and fast-paced environment
• Have strong communication skills, both verbal and written
• Take pride in everything they do and be motivated to go above and beyond what is expected
• Possess excellent web research skills
• Demonstrate keen attention to detail
• Have the ability to work with a sense of urgency
• Have good time-management skills
• Have the ability to communicate effectively with people from diverse backgrounds and cultures
• Be a strong team player

NB: This is a temporary, project-based position with the possibility of renewal. While this role will be on payroll, please note that benefits are not included as part of this position.

BOLD is seeking a senior professional to implement and run Testing and Quality Assurance specifically designed for AI-driven products and Data Science workflows. In this role, you will bridge the gap between traditional software testing and modern machine learning evaluation. You have a great team management and organizational skills. You’ll have a broad mastery of capabilities, techniques, technologies and tools in the Testing and QA domains. You’ll be handling QA teams of various sizes and expertise.

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them up to to date with technology.

WHAT YOU’LL DO 

• Develop and own the QA strategy for AI-driven features, focusing on model accuracy, data drift, and performance metrics (Precision, Recall, F1-score).
• Implement state-of-the-art AI tools (e.g., GitHub Copilot, or custom LLM agents) to automate test case generation, code analysis, and synthetic data creation.
• Oversee the testing of Generative AI outputs, implementing "LLM-as-a-judge" frameworks to evaluate hallucination rates, toxicity, and prompt adherence.
• Develop and own BOLD’s quality framework from product development through to production
• Should be able to drive the initiatives (both Business and QA) in his area along with needed smooth coordination across the board to ensure a timely achievement of goal.
• Take part in Requirement Analysis, Sprint planning, Bug triage meetings.
• Liaise with product, development, and infrastructure teams to collaborate on delivery of high quality, high performance, and high availability applications
• Develop quality scripts with needed coverage to ensure defect free releases.
• Manage and mentor team members to maximize output and efficiency and promote a team culture of quality and fun
• Motivate, Encourage, Guide Teams maintaining equilibrium and satisfaction level.
• Give technical/logical solutions to problems faced by the teams and remove hurdles blocking releases.
• Evaluate and suggest new tools and technologies

WHAT YOU’LL NEED

• Solid understanding of the Machine Learning lifecycle (EDA, Training, Evaluation, Deployment).
• Experience using LLMs (GPT, Claude, Llama) and AI-coding assistants to accelerate the testing lifecycle.
• Experience in a high volume, high throughput web/ecommerce environment.
• Hands-on experience with UI/API automation (Selenium, Playwright, or Cypress) integrated with AI-driven healing capabilities.
• Experience with web service technology like XML, REST, SOAP
• Knowledge on any of the query language like SQL, JQL etc.
• Experience in testing complex web and mobile apps.
• Strong application architecture and technical knowledge
• Strong knowledge of web concepts, including web performance infrastructure.
• Able to play the role of a scrum master, with strong coordination skills
• Knowhow of basic UX standards, SEO/ SEM concepts and key tracking matrices
• Strong communication skills 

EXPERIENCE- 

• Module Lead, QA (AI/ML & Automation)- 5 years+

What's the Role All About? 

 The Manager, Business Consulting (AI Adoption ), is a pivotal leadership role within our Customer Services Automation AI Center of Excellence. This position will lead a team responsible for driving measurable adoption, consumption, and business value across our AI customer base.

This is a people leadership role focused on ensuring customers achieve sustained usage and operational impact from AI solutions such as Copilot, AutoSummary, Autopilot, and Conversational AI. You will lead a team of consultants, partner cross-functionally across Customer Success, Product, Delivery, Sales, and Engineering, and help build the repeatable motions required to scale AI adoption globally.

This role is not focused on feature enablement alone. It is focused on business outcomes, workflow integration, value realization, and adoption at scale.

How Will You Make an Impact? 

As the Manager,Business Consultant, you will

• Lead and develop a team of AI Adoption Consultants
• Drive adoption and consumption outcomes across a portfolio of enterprise AI customers
• Build and improve repeatable adoption playbooks, scorecards, and operating rhythms
• Partner with internal teams to remove blockers and accelerate customer time-to-value
• Translate AI usage into business value, operational KPI improvement, and executive-ready narratives

Team Leadership

• Manage, coach, and develop a team of AI Adoption Consultants
• Set clear expectations, inspect quality of work, and drive a high-performance culture
• Support hiring, onboarding, capability building, and talent development
• Ensure team execution is aligned to customer outcomes and business priorities

AI Adoption & Value Realization

• Lead adoption strategy across a portfolio of enterprise AI customers
• Ensure customers achieve sustained usage targets and measurable business impact
• Identify adoption gaps, usage risks, and underconsumption patterns, and drive recovery plans
• Oversee adoption scorecards, account reviews, and executive-ready action plans
• Reduce time-to-value and improve adoption consistency across the portfolio

Workflow & Operational Transformation

• Guide teams in embedding AI into contact center workflows, agent routines, and customer journeys
• Help customers redesign processes to improve containment, reduce manual effort, and increase productivity
• Ensure AI solutions are operationalized, not just deployed

Cross-Functional Leadership

• Partner with Customer Success, Product, Engineering, Delivery, Sales, Education, and Support teams to accelerate adoption outcomes
• Escalate systemic blockers and influence action across internal stakeholders
• Bring customer insights and Day 2+ feedback into product and process improvement discussions

Business Value Storytelling

• Connect AI adoption to contact center KPIs and business outcomes
• Help customers and internal stakeholders understand the operational and financial impact of AI
• Support executive business reviews with clear, data-driven insights and recommendations.

Success Measures

Success in this role will be measured by:

• Sustained AI usage growth across assigned customer portfolio
• Achievement of adoption targets within six months of go-live
• Reduction in time-to-value
• Improvement in operational KPIs such as AHT, ACW, containment, CSAT, and agent productivity
• Quality and consistency of team execution
• Customer satisfaction, executive confidence, and referenceability

Have You Got What It Takes? 

• 18+ years of experience in contact center, CCaaS, customer success, professional services, digital transformation, AI adoption, or value realization
• 4+ years of experience leading direct reports in a customer-facing or consulting environment
• Strong experience working with enterprise customers in complex, matrixed environments
• Proven success driving measurable business outcomes and KPI improvement
• Strong understanding of contact center operations and key service metrics, including: AHT, ACW, FCR, Containment, Service Level, Occupancy, Agent Productivity
• Experience leading cross-functional initiatives involving AI, automation, workflow redesign, or conversational AI
• Strong executive communication, coaching, and stakeholder management skills
• Strong analytical and problem-solving ability with a bias for action

You Will Have an Advantage If You Also Have: 

• Experience with NICE, Genesys, Five9, or other CCaaS platforms
• Experience with conversational AI or automation platforms such as Cognigy, Amelia, or Omilia
• Experience in SaaS, CCaaS, or large-scale service operations
• Change management training or certification
• Familiarity with generative AI and enterprise AI use cases

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy NiCE-FLEX!  

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID -  10422

Reporting Into: Director , Professional Services

Role Type: People Management 

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
• 10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
• Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
• 3NF — operational and transactional layer design
• Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
• Data Vault 2.0 — hubs, links, satellites, business keys
• Data mesh & domain-oriented data product design
• Architecture Decision Records (ADRs) and C4 modelling
• Data contract design — schema, SLAs, versioning
• Data catalogue & metadata management design
• Data quality framework design and governance policy
• BigQuery — advanced design, partitioning, clustering, BI Engine
• Dataflow (Apache Beam) — streaming and batch architecture
• Cloud Composer / Airflow — orchestration design
• Pub/Sub — event-driven data product patterns
• Dataplex — data cataloguing, lineage, data quality
• Vertex AI Pipelines — ML feature pipeline integration
• Cloud Storage — data lake zone design (raw/curated/serving)
• Terraform — IaC standards and landing zone design
• Databricks Lakehouse — medallion architecture, zone design
• Delta Lake — ACID, time travel, schema evolution, Z-ordering
• Unity Catalog — governance, lineage, access control, data products
• Databricks Workflows and Asset Bundles — lifecycle automation
• PySpark — advanced optimization, broadcast, AQE, dynamic pruning
• dbt on Databricks — transformation layer standards
• Databricks on GCP — cluster policy, instance pools, cost governance
• MLflow — model registry integration with data product layer
• Unity Catalog — fine-grained access, row/column security
• Dataplex — data mesh governance on GCP
• Data lineage — column-level lineage design and tooling
• GDPR, data residency, and privacy-by-design principles
• Data stewardship operating models
• Metadata standards — Dublin Core, OpenLineage, OpenMetadata
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Professional Data Engineer or Databricks Certified Associate Developer for Apache Spark
• TOGAF, Zachman, or equivalent enterprise architecture framework certification.

Nice to have qualifications  

• Azure Synapse / Microsoft Fabric — cross-cloud architecture experience
• Apache Iceberg or Apache Hudi — open table format evaluation and migration experience
• Event-driven architecture — Apache Kafka, Confluent Cloud, or Pub/Sub advanced patterns
• Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
• Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
• Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
• OpenMetadata or Collibra — enterprise-grade data catalogue implementation
• Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
• Google Cloud Professional Machine Learning Engineer
• CDMP (Certified Data Management Professional) — DAMA certification
• HashiCorp Terraform Associate

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Fulltime position based in Bengaluru. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

     Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

• Prototype rapidly

     Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

• Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
• Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
• Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
• Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
• Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
• Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

• Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
• Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

• Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
• 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

• Experience with REST APIs, JSON, cloud SDKs
• Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
• Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

• Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
• Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
• Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

• Proficient with LLM APIs     including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
• Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

• GitHub / Git proficiency:

     Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

• Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
• Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

• Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
• Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
• Background in contact centre, CX, or enterprise SaaS environments.
• Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

About the Company 

At Redpin, we simplify life’s most important payments. Buying a property overseas can be stressful—especially when it comes to moving money. Through our Currencies Direct and TorFX brands, we’ve been helping customers do exactly that for over 25 years.

With recent investment, we are building a new generation of digital products and services that make international real estate payments simpler, faster, and more transparent.

As part of Redpin 2.0, we are transforming from a horizontal FX platform into a verticalized, embedded software company, positioning ourselves as the global solution for real estate payments.

About the Role

At Redpin, this role is not just about managing infrastructure — it’s about building intelligent, scalable, and developer-first platforms that power our next-generation digital products.

As a Senior Software Engineer – DevOps, you will play a hands-on role in designing, building, and operating cloud-native infrastructure and DevOps platforms, with a strong emphasis on automation, reliability, security, and cost efficiency.

We are looking for a DevOps Engineer with exposure to AI/ML or Generative AI use cases, who can help us embed intelligence into our engineering ecosystem — from pipelines to observability and platform operations.

What You'll Do

AI / ML / GenAI

• Hands-on experience with platforms such as OpenAI, Bedrock, or Vertex AI
• Strong understanding of prompt engineering and AI API integrations
• Solid foundation in machine learning concepts and LLM architectures

Cloud Infrastructure (AWS)

• Design and implement AI-powered automation solutions for DevOps and platform engineering use cases
• Build and integrate AI agents to enhance developer productivity
• Develop and maintain CI/CD pipelines with AI-assisted workflows
• Design, provision, and operate secure, scalable AWS infrastructure
• Work across compute, networking, storage, and IAM
• Support multi-account AWS environments and apply governance guardrails
• Implement Infrastructure as Code (IaC) using Terraform and/or CloudFormation
• Troubleshoot and resolve cloud infrastructure issues

CI/CD & DevOps Automation

• Build, maintain, and optimize CI/CD pipelines for application and microservices teams (preferably using GitLab or GitHub)
• Automate build, test, security scanning, and deployments
• Implement deployment strategies such as blue-green, canary, and rolling deployments
• Improve pipeline performance, stability, and developer experience

Cloud Security & Governance (Execution Focus)

• Implement AWS security best practices including IAM, VPC security, encryption, and secrets management
• Enforce tagging standards, access controls, and policy guardrails
• Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
• Support audit and compliance requirements

Reliability & Observability

• Implement and manage monitoring, logging, and alerting solutions
• Build dashboards for system health, availability, and performance
• Improve system reliability through automation and proactive monitoring

Cloud Cost Optimization

• Monitor and optimize AWS costs across services.
• Implement right-sizing, autoscaling, and storage lifecycle policies.
• Support Savings Plans and Reserved Instance optimization.
• Promote cost-efficient cloud usage and architecture

DevOps Best Practices

• Apply and promote DevOps principles such as automation, CI/CD, and IaC.
• Reduce operational toil through tooling and automation.
• Support teams in adopting cloud-native and DevOps best practices

Collaboration & Mentorship

• Work closely with application, SRE, and security teams.
• Mentor junior DevOps engineers through code reviews and hands-on guidance.
• Contribute to documentation, runbooks, and operational standards

What You’ll Need

• Strong hands-on experience with AWS (EC2, EKS, ECS, VPC, IAM, RDS, S3, CloudWatch)
• Experience building AI agents or automation bots
• Familiarity with MLOps and FinOps practices
• Strong scripting skills (Python or Bash)
• Proven experience with CI/CD tools (GitLab CI, GitHub etc.)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Hands-on experience with Docker and Kubernetes (EKS)
• Solid understanding of Linux, networking, and cloud security
• Experience with monitoring, logging, and alerting systems
• Strong troubleshooting and automation skills

Bonus Points

•  AWS Config, CloudTrail, GuardDuty
• Observability tools (Corologix, ELK, Datadog)
• GitOps tools (ArgoCD, Flux)
• Scripting skills in Python, Go, or Bash
• Exposure to FinOps practices
• AWS Certified Solutions Architect – Associate or Professional

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward together.

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.