About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Company Descriptor

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Processing Manager role will report into The Data Processing Sr Manager position. The Data Processing Manager will be a key member of the India-based Data Processing Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams. This will include:

What you'll be doing

• Running and validating interim and final tabulations (uncoded and coded) for quantitative research studies using relevant software (e.g., Q, Quantum, SPSS, Excel-based platforms, or proprietary tools).
• Ensuring all tabulations meet internal and client-specific formatting, logic, and output requirements.
• Checking tabulated data for accuracy, completeness, and consistency before delivery.
• Supporting QA processes and documentation to maintaining high data standards across projects.
• Lead in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks.
• Working with coded and uncoded datasets, ensuring proper integration into final tabulation outputs.
• Liaising with scripting/programming team to ensure accurate data structure for tabulation.
• Working closely with the research and project management teams to understand project requirements, timelines, and deliverables.
• Providing input and feedback to internal stakeholders to optimise processes and outputs.
• Managing assigned tasks of Execcutive within deadlines and flag any delays or data issues proactively to the manager and wider team.
• Maintaining clear documentation of tabulation processes and version control.
• Supporting in updating project logs and workflow tracking systems.
• Continuously improving knowledge of data processing tools, tabulation best practices, and healthcare market research processes.
• solving

What you'll need

• More than 8+ years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Expert proficiency in data tabulation software (preferably Q, but Quantum or similar will be considered as well)
• Exposure to or understanding of survey scripting tools and survey data structures is a plus
• Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management.
• Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices.
• Demonstrable experience of working with senior and Jr team members
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Excellent analytical and numerical skills
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• High attention to detail with a strong focus on data accuracy and consistency.
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Company Descriptor

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required

What you'll be doing

Brand Equity tracking support with our in-house platform:

• Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
• Maintain and update python utilities when required due to changes from the research team
• Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
• Manage the storage mart and data warehouse
• Support team with edits in-house platform

Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.

Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.

Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.

Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.

Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.

Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.

Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.

What you'll need

Your skills and experience:

Technical Expertise

• Atleast 5+ years expertise in languages like Python and SQL.
• Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
• Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
• Proficient in SQL (PostgreSQL, MySQL).
• Understanding MVC/MVT, microservices, and system design principles.
• Experience in setup of data pipelines is highly desirable.
• Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
• Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
• Experience in version control system.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Processing Executive role will report into The Data Processing Manager position. The Data Processing Executive will be a key member of the newly formed India-based Data Processing Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams.

What you'll be doing

• Running and validating interim and final tabulations (uncoded and coded) for quantitative research studies using relevant software (e.g., Q, Quantum, SPSS, Excel-based platforms, or proprietary tools).
• Ensuring all tabulations meet internal and client-specific formatting, logic, and output requirements.
• Checking tabulated data for accuracy, completeness, and consistency before delivery.
• Supporting QA processes and documentation to maintaining high data standards across projects.
• Assisting in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks.
• Working with coded and uncoded datasets, ensuring proper integration into final tabulation outputs.
• Liaising with scripting/programming team to ensure accurate data structure for tabulation.
• Working closely with the research and project management teams to understand project requirements, timelines, and deliverables.
• Providing input and feedback to internal stakeholders to optimise processes and outputs.
• Managing assigned tasks within deadlines and flag any delays or data issues proactively to the manager and wider team.
• Maintaining clear documentation of tabulation processes and version control.
• Support in updating project logs and workflow tracking systems.
• Continuously improving knowledge of data processing tools, tabulation best practices, and healthcare market research processes.

What you'll need

• More than 2 years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Basic to intermediate proficiency in data tabulation software (preferably Q, but Quantum or similar will be considered as well)
• Exposure to or understanding of survey scripting tools and survey data structures is a plus
• Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management.
• Understanding quantitative research methodologies, questionnaire structures, and healthcare market research best practices.
• Demonstrable experience of working with senior team members
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Excellent analytical and numerical skills
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• High attention to detail with a strong focus on data accuracy and consistency.
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Processing Executive role will report into The Data Processing Manager position. The Data Processing Executive will be a key member of the newly formed India-based Data Processing Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams.

What you'll be doing

• Running and validating interim and final tabulations (uncoded and coded) for quantitative research studies using relevant software (e.g., Q, Quantum, SPSS, Excel-based platforms, or proprietary tools).
• Ensuring all tabulations meet internal and client-specific formatting, logic, and output requirements.
• Checking tabulated data for accuracy, completeness, and consistency before delivery.
• Supporting QA processes and documentation to maintaining high data standards across projects.
• Assisting in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks.
• Working with coded and uncoded datasets, ensuring proper integration into final tabulation outputs.
• Liaising with scripting/programming team to ensure accurate data structure for tabulation.
• Working closely with the research and project management teams to understand project requirements, timelines, and deliverables.
• Providing input and feedback to internal stakeholders to optimise processes and outputs.
• Managing assigned tasks within deadlines and flag any delays or data issues proactively to the manager and wider team.
• Maintaining clear documentation of tabulation processes and version control.
• Support in updating project logs and workflow tracking systems.
• Continuously improving knowledge of data processing tools, tabulation best practices, and healthcare market research processes.

What you'll need

• More than 2 years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Basic to intermediate proficiency in data tabulation software (preferably Q, but Quantum or similar will be considered as well)
• Exposure to or understanding of survey scripting tools and survey data structures is a plus
• Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management.
• Understanding quantitative research methodologies, questionnaire structures, and healthcare market research best practices.
• Demonstrable experience of working with senior team members
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Excellent analytical and numerical skills
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• High attention to detail with a strong focus on data accuracy and consistency.
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Processing Executive role will report into The Data Processing Manager position. The Data Processing Executive will be a key member of the newly formed India-based Data Processing Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams.

What you'll be doing

• Running and validating interim and final tabulations (uncoded and coded) for quantitative research studies using relevant software (e.g., Q, Quantum, SPSS, Excel-based platforms, or proprietary tools).
• Ensuring all tabulations meet internal and client-specific formatting, logic, and output requirements.
• Checking tabulated data for accuracy, completeness, and consistency before delivery.
• Supporting QA processes and documentation to maintaining high data standards across projects.
• Assisting in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks.
• Working with coded and uncoded datasets, ensuring proper integration into final tabulation outputs.
• Liaising with scripting/programming team to ensure accurate data structure for tabulation.
• Working closely with the research and project management teams to understand project requirements, timelines, and deliverables.
• Providing input and feedback to internal stakeholders to optimise processes and outputs.
• Managing assigned tasks within deadlines and flag any delays or data issues proactively to the manager and wider team.
• Maintaining clear documentation of tabulation processes and version control.
• Support in updating project logs and workflow tracking systems.
• Continuously improving knowledge of data processing tools, tabulation best practices, and healthcare market research processes.

What you'll need

• More than 2 years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Basic to intermediate proficiency in data tabulation software (preferably Q, but Quantum or similar will be considered as well)
• Exposure to or understanding of survey scripting tools and survey data structures is a plus
• Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management.
• Understanding quantitative research methodologies, questionnaire structures, and healthcare market research best practices.
• Demonstrable experience of working with senior team members
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Excellent analytical and numerical skills
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• High attention to detail with a strong focus on data accuracy and consistency.
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Processing Executive role will report into The Data Processing Manager position. The Data Processing Executive will be a key member of the newly formed India-based Data Processing Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams.

What you'll be doing

• Running and validating interim and final tabulations (uncoded and coded) for quantitative research studies using relevant software (e.g., Q, Quantum, SPSS, Excel-based platforms, or proprietary tools).
• Ensuring all tabulations meet internal and client-specific formatting, logic, and output requirements.
• Checking tabulated data for accuracy, completeness, and consistency before delivery.
• Supporting QA processes and documentation to maintaining high data standards across projects.
• Assisting in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks.
• Working with coded and uncoded datasets, ensuring proper integration into final tabulation outputs.
• Liaising with scripting/programming team to ensure accurate data structure for tabulation.
• Working closely with the research and project management teams to understand project requirements, timelines, and deliverables.
• Providing input and feedback to internal stakeholders to optimise processes and outputs.
• Managing assigned tasks within deadlines and flag any delays or data issues proactively to the manager and wider team.
• Maintaining clear documentation of tabulation processes and version control.
• Support in updating project logs and workflow tracking systems.
• Continuously improving knowledge of data processing tools, tabulation best practices, and healthcare market research processes.

What you'll need

• More than 2 years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Basic to intermediate proficiency in data tabulation software (preferably Q, but Quantum or similar will be considered as well)
• Exposure to or understanding of survey scripting tools and survey data structures is a plus
• Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management.
• Understanding quantitative research methodologies, questionnaire structures, and healthcare market research best practices.
• Demonstrable experience of working with senior team members
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Excellent analytical and numerical skills
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• High attention to detail with a strong focus on data accuracy and consistency.
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't

At The Economist Group, we champion progress, by helping people understand and tackle the critical challenges facing the world. Join us, to engineer innovative products that bring insight and analysis to global leaders in business and government. Whether ideating mobile apps that deliver personalised content, or evolving our flagship website, economist.com, you will help transform how we acquire, convert, engage and retain our 1.2 million subscribers.

We are looking for a Software Engineer, Web Fullstack, to help build and improve our web applications and supporting services. In this role, you will contribute across frontend and backend systems, delivering reliable, scalable features that enhance user experiences.

You will work closely with experienced engineers, product managers, and designers in a collaborative, remote-first environment. This is an excellent opportunity to deepen your fullstack expertise while contributing to meaningful, user-facing products..

You should enjoy working with autonomy in a creative and entrepreneurial environment, and have a strong commitment to producing high quality code. We follow a remote-first working policy, with the option to work from the office as desired, and a minimum expectation of two in-office days per month.

How you will contribute:

• Build and maintain web applications across frontend and backend systems.
• Develop responsive and accessible user interfaces using modern frameworks such as React.
• Implement backend services and APIs to support product functionality.
• Contribute to system design discussions and technical decisions within the team.
• Write clean, maintainable, and well-tested code.
• Monitor and improve application performance and reliability.
• Work with cloud services (e.g. AWS) to deploy and operate applications.
• Participate in code reviews, testing, and CI/CD practices.
• Collaborate with Product and Design to deliver high-quality features..

What you’ll need to be successful:

• 5+ years of experience in web development across frontend and backend.
• Experience with JavaScript or TypeScript.
• Familiarity with modern frontend frameworks (e.g. React).
• Experience building APIs and working with backend technologies (e.g. Node.js or similar).
• Understanding of web fundamentals, including performance and accessibility.
• Exposure to cloud platforms (e.g. AWS) and modern development practices.
• Familiarity with version control, testing, and CI/CD workflows.
• Strong problem-solving skills and a willingness to learn.
• Good communication skills and ability to work collaboratively.

Why join us

• Work on meaningful products with real user impact.
• Learn from experienced engineers in a supportive environment.
• Gain exposure to modern web and cloud technologies.
• Enjoy a flexible, remote-first culture.
• Be part of a team that values growth, quality, and collaboration.

Our culture

We all play a part in building our culture. Whether it's through welcoming new colleagues, team building activities, joining colleague events, celebrations or affinity groups there’s an opportunity for you to get involved. Continuous development is central to our working culture and we encourage teams to pair up or mob on tasks. From our 10% a week learning time policy, to our learning and development platform, Degreed, with unlimited access to Udemy courses, as well as a host of other world-class content providers - there are many ways to develop your skills and career with us.

The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age or marital status.

Tesco Media & Insight Platform is a partnership between Tesco, the UK’s largest grocery retailer, and dunnhumby. Fueled by first‑party behavioral data from over 23 million Clubcard holders, we help brands understand consumer behaviors and reach the right customers, at the right time, with the right message across the full marketing funnel. Our closed‑loop measurement connects what customers see with what they buy, helping brands Shape What Britain Buys and maximize the impact of every pound of media investment.

Roles and Responsibilities 

As a Senior AI Engineer, you will be a hands‑on technical contributor designing, building and operating production‑grade GenAI and agentic AI solutions that power Tesco Media & Insight Platform’s global products and services. You will work closely with the AI Engineering Manager, Product, Data Science and Engineering teams to turn business problems into secure, scalable, observable AI systems that deliver measurable value for brands and shoppers.

• Design and implement GenAI and agentic AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder) and core GCP services.
• Build AI agents and multi‑step agentic workflows, including tool calling, orchestration, and integrations with internal and external systems.
• Contribute to the design of MCP servers and agent‑to‑agent / agent‑to‑application protocols to enable safe, reliable automation of retail media and insight use cases.
• Work with the AI Engineering Manager and architects to define solution designs, interface contracts and non‑functional requirements (security, reliability, performance, cost).
• Implement security, privacy and governance controls in AI solutions, including safe prompt and tool design, data protection, secrets management and access control.
• Apply DevOps/MLOps practices: contribute to CI/CD pipelines for models, prompts and agents; use infrastructure as code; support environment management and automated testing.
• Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and logs; build and maintain dashboards and alerts.
• Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows.
• Collaborate with Retail Media and Insight teams to understand use cases and data, and translate requirements into concrete AI components and services.
• Write high‑quality, well‑tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability.
• Participate in code reviews, design reviews and incident post‑mortems, and contribute to continuous improvement of our AI engineering practices.
• Stay current on advances in LLMs, agentic frameworks and cloud AI services, and bring forward ideas for how they can be applied to Tesco Media & Insight Platform.

What you’ll need to succeed in the role

• Strong experience in software/data/ML engineering, with hands‑on delivery of AI/ML or LLM‑based solutions into production (not just prototypes).
• Practical experience on GCP and Vertex AI, including deploying models, building pipelines, and implementing RAG/vector search‑based solutions.
• Solid understanding of LLMs and foundation models: transformers at a high level, tokenization, embeddings, context windows, RAG, and the trade‑offs between fine‑tuning, adapters and prompt‑based approaches.
• Hands‑on experience building agentic workflows or AI agents (e.g. tool‑augmented chat, multi‑step workflows, or multi‑agent systems) using one or more modern frameworks or platforms.
• Good grasp of security and safety for AI systems, including prompt and tool design to reduce hallucinations and prompt injection, safe handling of sensitive data, and application‑level guardrails.
• Experience with DevOps/MLOps practices: CI/CD, version control, automated testing, infrastructure as code, monitoring and incident handling in a cloud environment.
• Strong programming skills in Python and experience building and consuming APIs; familiarity with microservices and event‑driven architectures is a plus.
• Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review.
• Strong problem‑solving skills, attention to detail, and a willingness to take ownership of complex technical challenges.
• Clear, proactive communication and the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations.

Experience: 5+ years of relevant experience

WHY I DO MY JOB? | Job Purpose.

Design, build, and operate scalable data science and analytics solutions that power business decision‑making and digital products. This role bridges data science development, distributed data processing, and cloud platform engineering—ensuring that models, rules, and analytics workflows are performant, secure, observable, and production‑ready on enterprise cloud platforms.

WHAT I DO? | Key Accountabilities.

Data Science & Distributed Engineering

• Design and develop Spark‑based (PySpark) modules implementing custom data science logic, statistical methods, and complex business rules.
• Build reusable, scalable Python and SQL components for batch and near‑real‑time analytics workloads.
• Optimize data pipelines for performance, reliability, and cost efficiency across large datasets.
• Translate analytical and data science requirements into production‑grade, testable code.

Data Science Platform & Cloud Enablement

• Contribute to and support the Applied Data Science hosting Spark workloads and web applications on GCP and/or Azure.
• Configure and manage cloud resources including:
• Virtual Private Clouds (VPCs) and networking
• Secure access patterns and Role‑Based Access Control (RBAC)
• IP whitelisting and external exposure of applications
• Enable observability through logging, monitoring, alerting, and traceability for both data and application workloads.

Infrastructure, CI/CD & Automation

• Implement and maintain CI/CD pipelines for data science and Spark workloads.
• Use Docker for containerized execution and deployment.
• Apply Terraform / IaC principles to provision and manage cloud infrastructure.
• Ensure consistent, repeatable deployments across development, staging, and production environments.

Engineering Quality & Governance

• Enforce best practices around code quality, testing, version control, and documentation.
• Partner with security and platform teams to ensure compliance with enterprise standards.
• Troubleshoot production issues across data pipelines, Spark jobs, and platform components.

Collaboration & Technical Leadership

• Work closely with Data Scientists, ML Engineers, Platform Engineers, and Product teams to operationalize analytics solutions.
• Provide technical guidance and reviews for complex data science engineering work.
• Contribute to platform standards, reusable frameworks, and engineering roadmaps.

HOW I DO MY JOB? | Qualifications.

Experience

• 5–8+ years of hands‑on experience in data engineering, data science engineering, or analytics platform engineering.
• Proven experience delivering production systems built on Python, PySpark, BigQuery and SQL.

Core Technical Skills

• Strong proficiency in:
• Python (production‑level code)
• PySpark / Apache Spark
• SQL across large analytical datasets
• Experience implementing complex analytical logic, business rules, or statistical workflows at scale.

Cloud & Platform Expertise

• Hands-on experience with GCP and/or Azure, including:
• Cloud consoles and managed services
• Networking concepts (VPCs, subnets, firewall rules)
• RBAC, IAM, and secure access controls
• Experience exposing internal applications securely to external consumers.

DevOps & Infrastructure

• Practical knowledge of:
• CI/CD pipelines
• Docker and containerized workloads
• Terraform / Infrastructure as Code
• Strong understanding of production reliability, monitoring, and observability.

Software & Systems Engineering

• Solid grounding in software engineering principles, modular design, and testing strategies.
• Ability to debug and operate distributed systems in production.

Leadership & Mindset

• Comfortable operating in a mixed role: hands-on development and platform enablement.
• Strong ownership mindset with the ability to work across data science, infra, and engineering boundaries.
• Clear communicator able to align technical solutions with business needs.

Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.
Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.

We are seeking a talented Lead Engineer with .NET expertise to lead development of a product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.

As a Lead Engineer, you will play a pivotal role in designing and delivering high-quality software solutions.

You will be responsible for contributing to system architecture and ensuring adherence to engineering best practices. Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products.

What will you be doing?

You will design and deliver .NET Core solutions within microservices architecture, ensuring adherence to compliance, security, and quality standards. Implement best practices in coding, CI/CD, and DevOps while balancing delivery timelines with technical excellence. Conduct regular performance reviews, provide actionable feedback, and drive innovation through continuous improvement and process enhancements. Focus on improving developer productivity and coaching junior team members to achieve their full potential. You will collaborate with product managers and architects to define technical roadmaps.

What would you need to be successful in the role?

• Experience 9+years
• Proven experience leading technical teams and delivering complex projects.
• Strong understanding of object-oriented programming, data structures, and algorithms.
• Possess strong technical expertise in C#, .NET Core and experience building RESTful APIs with a deep understanding of design patterns, SOLID principles, system design, and engineering best practices.
• Strong experience designing distributed systems using microservices and event-driven architecture
• Familiar with microservices and event-driven architecture using tools like RabbitMQ , Google Pub/Sub and Kafka, as well as containerization technologies such as Docker and Kubernetes.
• Hands-on experience with:
  
  • Docker and Kubernetes (K8s)
  • Cloud platforms (GCP / Azure / AWS)
  • Relational databases (Postgres preferred) and analytical databases (BigQuery preferred)
  • Testing Framework (Xunit / NUnit/ Cypress)
  .

• Experienced in using DevOps tools like GitLab CI/CD and leveraging cloud platforms, particularly GCP or Azure, for scalable solutions.
• Additional knowledge of Redis, and Elasticsearch is an advantage
• Demonstrate a deep understanding of distributed systems, cloud-native applications, and Unix/Linux environments, alongside expertise in testing strategies, code quality, and secure coding tools like SonarQube and Checkmarx.
• Proficiency with version control systems like Git
• Adept at utilizing observability tools like New Relic to monitor systems, with solid knowledge of SDLC, Agile methodologies, and strong interpersonal and leadership skills to effectively motivate teams.
• Familiarity with the AdTech or Retail domain is an added advantage
• Work experience preferably in a product company

We’re looking for a Senior Engineer (C/C++) who expects more from their career. It’s a chance to extend and improve dunnhumby’s  team. We’re a Backend Developers  team working with a wide variety of tools and technologies. We handle the whole lifecycle of our teams’ solutions, from inception and development to their deployment and maintenance via Infrastructure as Code. Joining our engineering team, you’ll work with passionate people to build, extend, and maintain the platform that underpins all our client engagements.

Required Skills:

• 6-10 years of experience in software development.
• 6+ years of experience in C/C++, Python and Shell Scripting.
• Fluency in working with databases.
• Have sound understanding of Object-Oriented Programming and development principles.
• Experience working in an Agile Scrum or Kanban development environment.
• Solid understanding of high-quality coding, testing, and development practices
• HLD, LLD, Design Principles , Distributed Computing and Functional programming

Good to Have Skills:

• Experience working with version control software (preferably Git).
• Experience with CI/CD pipelines.
• Experience of working with Dockers and Containers.
• Experience of working with Kubernetes.
• Experience of working with Airflow.
• Experience of working on Cloud environments (GCP and Azure)

Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.

We’re looking for a talented Privacy Risk & Assurance Analyst who expects more from their career. It’s a chance to work with our clients to implement our data platforms and software products. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.

In this role, you support the data risk model by assuring, maintaining, and improving the quality of privacy and data‑risk information across our securiti* tooling and processes. You perform second‑line assurance, manage issues and risks through their lifecycle, and resolve privacy‑relevant DSPM issues to strengthen controls, reduce exposure, and improve our compliance posture. Your focus is assurance, risk management, data quality, and precision in applying privacy requirements.

Qualifications:

• 2+ years of experience in privacy, data protection, risk, compliance, information security, or data governance.
• Practical exposure to structured reviews or checks of operational inputs, for example: Reviewing request forms, assessments, or registers for completeness and accuracy.
• Validating evidence against stated requirements or controls.
• Experience working with systems or tools that hold risk, privacy, or compliance data, with an understanding that:
• Ability to follow defined assurance steps or test scripts, document findings clearly, and escalate issues where evidence is missing or weak.
• Some exposure to issue or action tracking, such as logging findings, updating status, or following up with owners under guidance.
• Strong attention to detail and a demonstrable habit of checking, questioning, and correcting inaccuracies.
• Clear written communication skills, suitable for maintaining logs, notes, and audit‑ready records.
• Willingness and ability to learn complex tooling and processes, and to apply feedback consistently

 Key Responsibilities:

• Conduct assurance reviews of privacy and security requests (CRAs, VRAs, controller requests), validating routing, inputs, controls, and risk mitigation.
• Identify control gaps and failing controls, support remediation, and maintain assurance evidence and documentation.
• Support end‑to‑end request flows, data hygiene, and accurate ROPA and backend records within the Securiti platform, including legacy remediation.
• Track and manage issues arising from assurance, RACM testing, incidents, DSPM findings, and horizon scanning through to closure.
• Identify recurring risk themes and contribute to playbooks, control updates, and process improvements.
• Review DSPM outputs to validate sensitive data locations, classifications, and data flows, ensuring alignment with ROPA and Securiti records.
• Support remediation of privacy‑relevant data exposure risks in collaboration with product, data, and information security teams.

We are seeking a skilled Amazon Connect Automation QA Consultant to lead quality assurance efforts across contact center implementations. The ideal candidate brings deep expertise in Amazon Connect testing, automated IVR validation, and load & performance testing—along with a solid understanding of omni-channel and conversational AI solutions.

Key Responsibilities & Required Skills

Amazon Connect & IVR Testing

• Design and execute comprehensive test plans for Amazon Connect contact flows (DTMF/ASR), including native testing for automated flow validation using the Amazon Connect Endpoint Test Utility to verify WebRTC support and network connectivity.
• Test CloudFormation stacks, Lambda integrations, Amazon Lex bots, call center routing rules (skill, queue, priority, time-of-day), outbound dialers, and campaign management pipelines.
• Validate omni-channel routing across voice, chat, SMS, and email channels; verify Contact Control Panel (CCP), agent availability states, whisper flows, hold/transfer/escalation/callback scenarios, and supervisor monitoring tools.
• Test voice user interfaces (VUI) and advanced IVR systems; validate conversational flows for text-based bots (Web, Facebook Messenger, WhatsApp, etc.).
• Test Agentic AI and Natural Language Understanding (NLU) systems from AWS and Salesforce including Agentforce, Bedrock, Amazon Lex, Google DialogFlow, or similar conversational platforms; craft test cases covering user experience and persona across all interaction channels.
• Validate API integrations using Postman across Amazon Connect, Salesforce CRM (Service Cloud), and WFM platforms; test communications protocols including WebRTC and SIP; apply testing proficiency for AWS Lambda, S3, DynamoDB, and IAM in managing test environments.

Load, Performance & Automation

• Elicit requirements and define load and performance test scope; plan, script, execute, and analyze tests using JMeter, LoadRunner, or NeoLoad; leverage VUGen, Analysis, and Controller modules with deep scripting expertise.
• Develop and maintain automated test frameworks and CI/CD pipelines using Jenkins, GitLab CI/CD, or CodeDeploy for continuous validation of Amazon Connect deployments; SQL and AWS cloud platform knowledge required.
• Execute performance tests for web and web service applications with high transaction rates; generate comprehensive report summaries covering system resource trends, load metrics, and bottleneck analysis.
• Experience with Bespoken, Operata, Cyara, Hammer or any other IVR Automation tools

Reporting, Collaboration & Contact Center Domain

• Generate and analyze reports using Amazon Connect’s built-in metrics and Contact Lens to surface quality trends, defect patterns, and SLA compliance data for stakeholder review.
• Bring cross-platform contact center product knowledge (Genesys, Cisco, Avaya, Twilio, or similar) to benchmark Amazon Connect behavior and guide migration or integration test strategies.
• Lead SIT & UAT coordination including defect management with call recording references, business scenario refinement, and UAT walkthroughs; proficient in JIRA, Qtest/Qmetry, Postman, CloudWatch, Lucid, and softphone clients.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

About the opportunity

Senior Account Receivable & Collections Analyst who plays a pivotal, strategic lead role in the financial operations of the company by managing and optimizing the accounts receivable process with a high-energy, "front-desk" approach. This role manages a continuous flow of customer queries, DIY billing emails, and complex collection challenges on a global portfolio while acting as a functional lead on AR systems (such as NetSuite, SAP, or Salesforce) to drive process enhancements and data integrity. To provide sharp, timely internal reports and analysis on debtor balances, cash collections, and bad debts while maintaining professional and energetic contact with customers.

A day in the life

• Arrive with a live view of global portfolio aging to identify exactly where pressure points are before the first call of the day.
• Contact customers (agencies, Enterprise, and brand clients) by telephone and email to move collections forward on high-risk accounts.
• Maintain positive relationships with our customers by providing excellent, responsive service.
• Maintain meticulous notes on follow-up and contact within ERP and CRM systems so nothing falls through overnight.
• Handle a non-stop flow of cases, DIY billing queries, and financial requests via a shared inbox and Salesforce with high operational resilience.
• Send monthly statements to customers and resolve discrepancies immediately upon receipt.
• Reduce DSO (Days Sales Outstanding), improve CEI (Collection Effectiveness Index), and minimize bad debt expense of the assigned global portfolio.
• Identify systemic billing or operational issues impacting cash flow and proactively lead cross-functional resolution efforts.
• Act as a key contributor in cash forecasting by providing accurate short- and long-term collection projections based on portfolio trends.
• Communicate real-time account status, risks, and next actions proactively to Sales and Account Managers.
• Oversee daily cash applications in ERP systems and lead investigations into complex unallocated/unapplied cash receipts.
• Issue reminder and legal notices to customers based on the Credit Control policy.
• Collaborate with Internal Sales, AMs, Finance, Legal, and billing teams with an "on-your-toes" urgency to resolve discrepancies and unblock revenue.
• Monitor and report on potential bad debts and portfolio health with a sharp, numerical eye.
• Strengthen internal controls and compliance around AR processes, ensuring audit readiness and policy adherence.
• Determine when accounts should be sent to outside collection agencies when all internal strategic efforts have been exhausted.
• Generate sophisticated monthly and ad-hoc reporting metrics on the performance of the portfolio.
• Lead the setting of credit limits for new and existing customers.
• Manage credit card workflows end-to-end, including charges, refunds, and formally challenging invalid chargebacks with supporting evidence.
• Actively leverage Enterprise AI platforms (Gemini, ChatGPT, Claude, etc.) to drive process optimization, build automations, and streamline collection workflows.

What you’ll bring

• Minimum 10–12 years’ experience in an Accounts Receivable / Collections role.
• Ability to adjust priorities instantly under pressure to meet non-stop deadlines.
• High stamina and flexibility within a constantly changing, high-volume environment.
• Elite interpersonal and diplomatic negotiation skills.
• Excellent verbal and written communication skills suitable for senior stakeholders.
• Ability to cooperate and lead collaboration effectively with team members.
• Proven track record of reducing DSO and improving cash collections.
• Sharp, proactive attitude – the ability to take immediate initiative to get things done.
• Expert Microsoft Excel (Power Query/Pivot) and IT skills with an exceptional eye for numbers.
• Highly motivated with a continuous eye for process improvement and automation.
• Deep expertise in managing global portfolios across multiple currencies and international markets.
• Deep expertise in Tier-1 ERP and CRM ecosystems (e.g., SAP, NetSuite, Salesforce) with the ability to drive system-related projects.
• AI-savvy and curious about technology; comfort using Enterprise AI tools to automate repetitive tasks.
• Experience of working with advertising/marketing agencies is highly preferred

Job Title: Data Quality

 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.

The Opportunity:

• As an AVP – Finance Data Quality role-holder you will be accountable and responsible to support Data Services for Finance related Value Streams for policy and regulatory compliance and mitigating data risk within the bank. The ideal candidate will possess strong technical skills, experience with finance or financial regulatory reporting in a banking environment, and be comfortable collaborating closely with IT teams and business stakeholders.

What you’ll do:

Impact on the Business/Function

• Working as an individual contributor, support Finance to become DMOV and DUSE compliant. 
• Support Finance and the business process owners to ensure their key Processes and Data (data flows including Right Sources and data definitions) are documented, and the data sets produced/consumed by their processes are controlled and monitored within key systems by using a range of tools. 
• Help Finance to identify & log Control Issues and DQ issues and on-board them to the data quality issue management process and operating model. This includes ensuring right level of information is captured in the Group Issue Management Tool to progress the issue towards remediation.

Customers / Stakeholders

• Build strong working relationships with the data SMEs in within Finance and DAO teams .
• Build strong working relationships with ITSO ,DMP team and other technical support teams like Collibra , ARIS, EIM etc.
• Within GDMO closely work with Data Governance, Data Architecture (Business) and Trusted Source teams.
   

Operational Effectiveness & Control:

• Maintain a continued focus on continuous improvement across areas of responsibility

Leadership & Teamwork  

• Make a positive contribution to the Finance Data Team’s effort to meet objectives and help Finance to meet their policy KCIs.
• Living and building  values and building longer term shareholder value.
• Contribute to an enjoyable, inclusive team atmosphere.
• Take ownership and support the end-to-end implementation of strategic solutions

Qualifications - Internal

What you will need to succeed in the role:

• Experience working in Finance, with a solid understanding of banking finance concepts including Liquidity, Risk Weight Assets, Treasury etc.   
• Knowledge of regulatory reporting requirements of a large diversified global bank (e.g., Basel III, BCBS239, CARR etc)
• Desired banking knowledge / quick learning aptitude and ability of developing knowledge
• Adaptive to multi data environment with quick learning ability to learn infrastructures.
• Understanding / Experience of Alteryx, Python, SAS, SQL. Exposure / Experience to data visualization tools like Qlik Sense, Tableau.
• Proficient in Microsoft Excel, PowerPoint. Visio, VBA.
• Exposure to document and content management utilities like Rational Team Concert, Confluence etc. 
• Adaptive to change environment and capable of delivering in matrix organization.
• Ability for logical thinking, eye for details
• Effective written and verbal communication skills to work with multiple sites across geographies
• Exposure to SDLC and Agile methodologies.

The Trust and Safety Operations team is focused (ok, maybe obsessed) on scaling Roblox’s Operations organization and transforming our customer experience through our multi-year vision and strategy execution. 

You will be reporting to the Trust & Safety India Operations Manager. The team provides support to Roblox’s global players, developers, and advertisers. As a Product Support Specialist on our Safety Ops Team, you’ll be focused on Escalations, Product Reliability, Process Improvement and Design along with playing a critical role in managing and resolving escalations and high-impact incidents affecting our Roblox users and platform. You will coordinate across multiple teams to ensure rapid response to minimize the impact on customers and business operations, identifying trends, enhancing support processes, improving agent efficiency, and reducing operational costs while maintaining high reliability and service quality.

Additionally, you will serve as a product expert working closely with the PSM team, providing detailed synthesis of new and existing issues our users experience to prioritize and enable engineering teams to improve the platform. 

You Will:

• Coordinate and lead incident response activities for critical and high-severity issues, assemble and manage incident response teams, including representatives from Engineering, Product, and other relevant teams along with assessing incident impact and determining severity levels.
• Take ownership of technical escalations and high-priority incidents related to Roblox Trust & Safety Global Scaled Operations, customers, internal escalations, and high priority BPO agent escalations.
• Proactively identify opportunities to improve support processes, enhance agent efficiency, reduce operating costs, and improve overall customer satisfaction.
• Collaborate with Knowledge Management and Training teams to develop and maintain documentation, training materials, and best practices based on issue trends and resolutions.
• Work with Quality Assurance teams to ensure process adherence, identify areas for improvement in support workflows, and implement quality control measures.
• Contribute to the successful launch of new support streams and initiatives by providing subject matter expertise and process guidance.

You Have:

• 3+ years of experience in a technical support, product support, or related role. Experience in leveraging SQL or Python to problem solve and dashboard can be a plus.
• Strong understanding of customer support principles, methodologies, and best practices.
• Excellent analytical, problem-solving, and troubleshooting skills, with the ability to diagnose and resolve complex technical issues.
• Strong communication skills, both written and verbal, with the ability to convey technical information clearly and concisely to diverse audiences.
• Demonstrated ability to collaborate effectively with cross-functional teams, build relationships, and influence stakeholders.
• Experience with data analysis, reporting, and identifying trends to drive process improvements.
• Familiarity with support ticketing systems, CRM tools, and other relevant support technologies.
• Must be willing to participate in on-call support for incident management issues.

You Are:

• Innovative: You proactively identify emerging risks and execute on out of the box ideas to achieve goals.
• Analytical: Excited to investigate large, ambiguous problems, and measure the problems and the solutions.
• Proactive Problem Solver: You anticipate potential problems and take proactive and decisive action to solve them.
• Team-oriented: You lift up your peers and find ways to make the team stronger.
• Data-Driven: Uses data to identify trends, measure results, and drive decision-making

The Trust and Safety Operations team is focused (ok, maybe obsessed) on scaling Roblox’s Operations organization and transforming our customer experience through our multi-year vision and strategy execution. 

You will be reporting to the Trust & Safety India Operations Manager. The team provides support to Roblox’s global players, developers, and advertisers. As a Product Support Specialist on our Safety Ops Team, you’ll be focused on Escalations, Product Reliability, Process Improvement and Design along with playing a critical role in managing and resolving escalations and high-impact incidents affecting our Roblox users and platform. You will coordinate across multiple teams to ensure rapid response to minimize the impact on customers and business operations, identifying trends, enhancing support processes, improving agent efficiency, and reducing operational costs while maintaining high reliability and service quality.

Additionally, you will serve as a product expert working closely with the PSM team, providing detailed synthesis of new and existing issues our users experience to prioritize and enable engineering teams to improve the platform. 

You Will:

• Coordinate and lead incident response activities for critical and high-severity issues, assemble and manage incident response teams, including representatives from Engineering, Product, and other relevant teams along with assessing incident impact and determining severity levels.
• Take ownership of technical escalations and high-priority incidents related to Roblox Trust & Safety Global Scaled Operations, customers, internal escalations, and high priority BPO agent escalations.
• Proactively identify opportunities to improve support processes, enhance agent efficiency, reduce operating costs, and improve overall customer satisfaction.
• Collaborate with Knowledge Management and Training teams to develop and maintain documentation, training materials, and best practices based on issue trends and resolutions.
• Work with Quality Assurance teams to ensure process adherence, identify areas for improvement in support workflows, and implement quality control measures.
• Contribute to the successful launch of new support streams and initiatives by providing subject matter expertise and process guidance.

You Have:

• 3+ years of experience in a technical support, product support, or related role. Experience in leveraging SQL or Python to problem solve and dashboard can be a plus.
• Strong understanding of customer support principles, methodologies, and best practices.
• Excellent analytical, problem-solving, and troubleshooting skills, with the ability to diagnose and resolve complex technical issues.
• Strong communication skills, both written and verbal, with the ability to convey technical information clearly and concisely to diverse audiences.
• Demonstrated ability to collaborate effectively with cross-functional teams, build relationships, and influence stakeholders.
• Experience with data analysis, reporting, and identifying trends to drive process improvements.
• Familiarity with support ticketing systems, CRM tools, and other relevant support technologies.
• Must be willing to participate in on-call support for incident management issues.

You Are:

• Innovative: You proactively identify emerging risks and execute on out of the box ideas to achieve goals.
• Analytical: Excited to investigate large, ambiguous problems, and measure the problems and the solutions.
• Proactive Problem Solver: You anticipate potential problems and take proactive and decisive action to solve them.
• Team-oriented: You lift up your peers and find ways to make the team stronger.
• Data-Driven: Uses data to identify trends, measure results, and drive decision-making

As an AI Workflow Specialist on the Trust & Safety Operations team, you will be the bridge between product, operations, and other relevant teams. You will be required to create workflows, using AI to design, prototype, and scale high‑impact automations. You will translate operational pain points into well‑designed AI workflows, partner closely with product and engineering, and build the evaluation frameworks that ensure these automations are safe, reliable, and measurable.

You Will:

• Partner with the Subject matter experts across the Support Ops and Shared service teams to understand the current gap and brainstorm on the desired solution. 
• Map and document existing workflows to identify high‑leverage automation opportunities and clearly define “current vs. future state.”
• Design AI‑augmented workflows that combine LLM agents, existing rules engines, and human review to improve speed, quality, and consistency 
• Prototype and iterate AI solutions using internal and external (accepted) tooling (e.g., Claude and other LLMs, internal agentic/AI workflow platforms, and Builder AI code intelligence) to turn workflow designs into working agents or automations.
• Define success metrics and evaluation plans (e.g., automation rate, handle time reduction, error/rollback rate, reviewer satisfaction) and build or integrate with eval pipelines to measure agent performance over time.
• Partner with product, engineering, and operations to prioritize use cases, scope requirements, and align AI workflows with product roadmaps and control/compliance expectations.
• Operationalize launches: contribute to playbooks, runbooks, and training so that operations teams can use AI agents confidently and understand when and how to intervene or escalate.
• Continuously improve workflows by monitoring performance, surfacing insights, and iterating on prompts, policies, routing, and UX to keep systems robust as volumes, abuse patterns, and regulations evolve.
• Champion safe and secure AI usage, partnering with security and compliance stakeholders to ensure AI workflows respect data handling, access controls, and regulatory constraints, especially as AI workloads increase.

You Have:

• 5+ years of experience in technical operations, data science/analytics, or product/engineering roles, with at least 2+ years working directly with workflow automation, rules engines, or tooling for operations teams.
• Demonstrated experience designing, implementing, or maintaining complex business workflows 
• Strong technical fluency: comfortable reading and writing simple scripts or code (Python or similar), working with APIs, and collaborating closely with engineers to ship workflow changes and integrations.
• Hands‑on experience with LLM‑based tools (e.g., Claude) or other AI platforms, including prompt design, evaluation, and iteration to improve quality and reliability.
• Strong analytical skills, with experience defining metrics, building dashboards or analyses, and using data to make prioritization and design decisions.
• Excellent cross‑functional communication skills; able to translate between operations, product, engineering, and finance, and to write clear specs, runbooks, and status updates.

Good To Have: 

• Experience in Trust & Safety, compliance, or risk‑sensitive workflows (e.g., safety queues, fraud, government or law enforcement requests, regulatory reporting).
• Prior work evaluating AI agents or automation quality (e.g., building eval suites, gold‑label sets, or reviewer workflows to monitor agent decisions).

Get to Know our Team:  

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:      

Agoda is hiring experienced Software Developers to work on high-scale, mission-critical systems focused on the design and development of APIs that support millions of user search requests each day. This role is ideal for engineers who enjoy solving complex technical challenges, building reliable distributed systems, and influencing architecture at scale.

In this Role, you'll get to

• Lead the development of product features, experiments, technical initiatives, and complex systems.
• Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
• Continuously improve system architecture and drive better software design and engineering practices.
• Play a key role in strengthening agile and scrum ways of working.
• Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
• Proactively identify opportunities to enhance products, code quality, and development processes.
• Write high-quality, maintainable code while supporting others in doing the same.
• Influence and drive important technical decisions across the organization.

What You’ll Need to Succeed 

• 10+ years of experience building performance-critical applications in production environments using Scala, Java, Kotlin, Python, Go, or C#
• Proven experience leading projects, technical initiatives, and/or engineering teams, with full ownership of the systems involved
• Hands-on experience with data platforms such as SQL, Cassandra, or Hadoop, and a solid understanding of selecting the right data solution for different application needs
• Strong knowledge of algorithms and data structures
• Demonstrated excellence in software development and coding
• A proven ability to improve team productivity and effectiveness through KPI-driven engineering practices
• Strong software architecture skills, with experience driving architectural decisions within a team
• A passion for software craftsmanship, continuous learning, and engineering excellence
• Excellent written and verbal English communication skills

It’s Great If You Have 

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

About the Role:

We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.

What you’ll be spending your time on

• Create and maintain CI/CD pipelines for the company's products
• Building and maintaining high-performance, fault tolerant, scalable ALM system, from Version control, Builds and Deployments to Monitoring and configuration management
• Maintain the application layer of our public cloud and private cloud
• Develop and integrate infrastructure tools in support of our production system
• Automate the Provisioning and configuration of Windows/Linux environments
• Work closely with product, QA, developers and IT/operations departments to streamline their working methods
• As a core member of the team, you will participate in 'On-Call' duties on Payoneer production systems, working in non-conventional hours include weekends and holidays (from time to time)

Have you done this kind of stuff?

• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience
• At least 6 years’ experience as DevOps Engineer
• A minimum of 5 years of exposure running production workloads (AWS, Azure or GCP)
• Microservices architecture & container orchestration (Docker and Kubernetes)
• Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
• Experience with GitOps (e.g., ArgoCD or Flux)
• Experience with Configuration Managements tools like Chef, Ansible or Puppet
• Proven Scripting capabilities: PowerShell/Bash/Python
• High level Linux OS expertise
• Programming experience skills (C#, NodeJS - advantage)
• Experience managing application servers and web servers
• Strong troubleshooting skills
• Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK)
• Proactive by nature; internal drive for excellence and improvement

Not a must but a great advantage

• Experience in SQL
• Experience with software development and development frameworks
• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ…
• Provisioning and operating NoSQL databases such as MongoDB, Redis, Elasticsearch …
• Knowledge and understanding Storage and Networking

#LI-PG1

MongoDB is growing and gaining adoption rapidly across the globe with the most demanding and innovative companies and development teams in enterprise software. 

We are seeking an experienced and dynamic Operations Finance Leader to join our team in India. This newly created position will be responsible for leading and developing a high-performing team to deliver world-class services expected from a Centre of Excellence operation. You will also work closely with the broader FinOps India leadership team to drive culture and connectedness and be an active member of the global finance leadership team. 

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Responsibilities

• Lead and develop a high-performing team of cross functional professionals to deliver world-class services to internal customers
• Provide oversight for all finance and accounting operations and ensure timely delivery of services including relevant metrics and SLAs
• Drive process improvements, standardization, globalization and operational efficiencies that is expected from a Centre of Excellence operation
• Work collaboratively with other leaders in MongoDB to ensure alignment to functional strategy and consistency in service of our center of excellence provides to teams globally
• Foster a culture of continuous improvement and a customer-centric mindset within the shared services team
• Identify and mitigate operational and internal control risks Lead change management initiatives to drive adoption of new processes and technologies
• Establish and maintain relationships with key stakeholders, including internal customers, senior leaders, and service providers
• Develop and monitor performance metrics to track progress and ensure accountability
• Act as business partner to the Senior Accounting Leadership and support in carrying out the organization priorities and objectives
• Model ‘Growth Mindset’ at all times - show that improvement is always possible

Key Competencies Required

• Outstanding communication skills in English (both oral and written)
• Strategic, analytical and critical thinking skills
• Personal commitment to accuracy, excellence and quality
• Values driven and role model for the team
• Dynamic self-starter that demonstrates creativity and initiative
• Intrinsically motivated to learn and grow
• Honesty and integrity

Requirements

• A Qualified Chartered Accountant, MBA in Finance or any similar qualification preferred
• 15+ years of experience in shared services operations, with at least 10 years of leadership experience
• Strong understanding of shared services operations, including process improvement, standardization, and operational efficiencies
• Experience in change management and driving adoption of new processes and technologies
• Excellent communication and interpersonal skills, with the ability to build strong relationships with colleagues and stakeholders at all levels, from all disciplines, backgrounds and cultures - both in the region and across the globe.
• Act as a role model and be committed to model appropriate executive behavior at all times; consistently ‘live’ MongoDB’s organizational values.
• Ability to work effectively in a fast-paced, dynamic environment with a strong sense of urgency
• Strong leadership skills, with the ability to motivate and inspire a team, build trust, and drive results
• Demonstrated ability to develop and mentor team members, and to create a culture of inclusion, collaboration and accountability
• Global mindset and cultural sensitivity, with an ability to work effectively with diverse
  teams across geographies and cultures

If you are an experienced and results-driven operations leader with a passion for delivering world-class shared services and a demonstrated ability to lead high-performing teams, we invite you to apply for this exciting opportunity.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 1273373044

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.

We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. 

The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.

This role can be based out of our Gurgaon office or Remotely in India.

The ideal candidate for this role will have

• 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
• Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
• Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
• Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
• Experience managing persistent storage solutions (blob/file storage) within distributed systems.
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
• Experience designing auto-update mechanisms for software that cannot directly access the public internet.
• Curiosity, a positive attitude, and a drive to continue learning.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
• Architect a client-side application that manages developer workflows and communicates securely with hosted services.
• Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
• Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
• Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
• Established yourself as the technical leader within the team, actively driving technical decisions.
• Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
• Designed and implemented a streamlined process for platform updates that works within client security constraints.
• Established a precise rhythm of execution and served as a role model for a high-performing team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
• Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
• Played a crucial role in helping recruiting and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.

We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. 

The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.

This role can be based out of our Gurgaon office or Remotely in India.

The ideal candidate for this role will have

• 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
• Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
• Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
• Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
• Experience managing persistent storage solutions (blob/file storage) within distributed systems.
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
• Experience designing auto-update mechanisms for software that cannot directly access the public internet.
• Curiosity, a positive attitude, and a drive to continue learning.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
• Architect a client-side application that manages developer workflows and communicates securely with hosted services.
• Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
• Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
• Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
• Established yourself as the technical leader within the team, actively driving technical decisions.
• Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
• Designed and implemented a streamlined process for platform updates that works within client security constraints.
• Established a precise rhythm of execution and served as a role model for a high-performing team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
• Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
• Played a crucial role in helping recruiting and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Engineer 3, Business Systems (CPQ)

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

About Team

The CRM Technologies Team plays a critical role in optimizing our sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce and Quote-to-Cash technologies, the team ensures that business users have the tools, automation, and operational support needed to effectively manage quoting, pricing, approvals, and downstream business processes.

With deep expertise in Salesforce development, CPQ, integrations, and platform operations, the team continuously enhances the CRM ecosystem to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Finance, Deal Desk, and Engineering to deliver scalable, secure, and reliable Quote-to-Cash solutions.

Role Overview

We are looking for a CPQ Engineer III to design, build, and support core capabilities in our Configure–Price–Quote (CPQ) stack that power how our GTM teams sell and price MongoDB offerings. As a senior individual contributor, you will own end-to-end delivery of features across configuration, pricing, discounting, approvals, and quote generation, working closely with Product, Deal Strategy, RevOps, and Sales.

You will translate business requirements into high-quality technical solutions on Salesforce CPQ and related platforms, spanning configuration, custom development (Apex/LWC/Flows), and integrations with downstream systems. This role is hands-on and delivery-focused: you will be responsible for implementing well-structured, testable solutions, improving performance and reliability of existing CPQ flows, and contributing to shared patterns, frameworks, and best practices within the CPQ & RevOps engineering team.

What you’ll do

• Design, build, and support Salesforce solutions across product modeling, pricing, quoting, approvals, amendments, and renewals
• Configure and enhance CPQ capabilities including product rules, price rules, bundles, product options, quote templates, discounting, and approval workflows
• Partner with Sales Operations, Revenue Operations, Finance, and Deal Desk to understand requirements, identify process gaps, and deliver scalable business solutions
• Develop and maintain Salesforce solutions using Apex, Lightning Web Components, Flows, SOQL, and platform APIs to support related processes
• Build and support integrations between Salesforce and external systems such as ERP, billing, payment, contract, and other enterprise platforms
• Participate in technical design, story grooming, sprint planning, testing, code reviews, release management, and production deployments
• Troubleshoot and resolve issues across CPQ configuration, pricing logic, automation, integrations, and system performance
• Support documentation, UAT, regression testing, and user enablement to improve adoption and platform reliability
• Ensure solutions align with security, data governance, and Salesforce platform best practices
• Leverage AI-powered engineering tools such as Cursor, Claude Code, Agentforce, GitHub Copilot, and similar capabilities to improve productivity, analysis, troubleshooting, and documentation, while using sound judgment around security, accuracy, and responsible AI usage

Responsibilities

• Technical Delivery: Translate complex business strategies into scalable technical solutions on Salesforce CPQ, utilizing a mix of declarative configuration and custom development (Apex, LWC, and Flow)
• System Architecture: Design and implement robust integrations between CPQ and downstream systems (ERP, Billing, Telemetry) to ensure data integrity across the Lead-to-Cash lifecycle
• Engineering Excellence: Drive high standards for code quality by implementing testable, modular solutions and contributing to shared frameworks and CI/CD best practices
• Performance Optimization: Proactively identify and resolve bottlenecks in existing CPQ flows, improving calculator speed and user experience for a global sales force
• Mentorship & Influence: Lead peer code reviews and contribute to the team’s technical playbook, fostering a culture of continuous improvement within the CPQ & RevOps engineering organization

Minimum Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
• 6+ years of Salesforce development experience, including strong hands-on expertise in the Salesforce platform
• Good understanding of Quote-to-Cash processes, sales workflows, and Salesforce best practices
• Hands-on experience with Apex, Lightning Web Components, Flows, SOQL, and REST/SOAP APIs
• Experience with product modeling, pricing rules, quoting workflows, approvals, amendments, and renewals
• Experience integrating Salesforce with external systems such as ERP, billing, payment, or other enterprise platforms
• Familiarity with Agile/Scrum, CI/CD, version control, and Salesforce release practices
• Strong understanding of Salesforce security, data governance, and implementation best practices
• Strong analytical, troubleshooting, communication, and collaboration skills
• Salesforce CPQ Specialist and Salesforce Platform Developer I or II certifications required

Preferred Qualifications

• Working knowledge of Salesforce Billing and its underlying data model
• Experience with Salesforce DX, Copado, Gearset, Git-based workflows, or similar DevOps tooling
• Familiarity with Visualforce, HTML, JavaScript, and CSS
• Experience preparing training materials, supporting UAT/regression testing, and guiding business users through solution adoption
• Practical familiarity with AI-powered and agentic tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them thoughtfully to improve delivery speed, analysis, documentation quality, and engineering effectiveness

Success Measures

• In 3 months, you will: Develop a strong understanding of MongoDB’s CPQ implementation, product and pricing structure, Quote-to-Cash flows, and stakeholder processes.
• In 6 months, you will: Successfully deliver meaningful enhancements across Salesforce CPQ, support key pricing and quoting workflows, and become a dependable contributor to ongoing QTC initiatives.
• In 12 months, you will: Become a trusted technical SME for Salesforce CPQ and related Quote-to-Cash processes, helping drive scalable improvements across pricing, approvals, renewals, amendments, and downstream integrations.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Job Summary 

The Membership Quality & Reputation Team is responsible for ensuring the quality of GLG Network Members. As a Membership Quality & Reputation Associate, you will be focused on screening Network Member profiles for potential quality issues. You thrive in an ever-changing ambiguous environment, multitasking between various responsibilities. In this role you will develop strong, actionable business skills – including time management, prioritization, communication, and problem solving. 

Responsibilities include, but are not limited to: 

• Effectively manage incoming cases related to existing reports and dashboards 
• Investigate quality issues that are escalated from other GLG teams 
• Conduct in-depth research on issues/concerns identified using proprietary databases and/or public domain, supporting senior team members on all aspects of quality engagements. 
• Ensure that risks are identified, assessed, managed, and reported in a timely manner. 
• Collaborate and work closely with global teams in a distributed environment, to protect the integrity of all GLG engagements and to ensure that Network Member profiles are complete, accurate and up to date. 
• Provide feedback on new processes, guidelines, and protocols to improve the decision-making process around Network Management quality issues 
• Communicate with Network Members and internal stakeholders to resolve any outstanding concerns 
• Perform other duties and responsibilities as assigned 

An ideal candidate will have the following:  

• Ability to work EMEA hours 
• Prior experience communicating with internal and external parties across regions and time zones 
• Fluent in English (oral and written communication)  
• Strong academics with 1 to 2 years of relevant industry experience. Preference will be given to candidates with a background in corporate governance, risk management, quality control, internal audit, or equivalent role 
• Strong written and verbal communication skills using a variety of communication channels (telephone, e-mail, in-person, etc.), with experience handling challenging situations and conversations 
• Possess excellent Internet-based research skills. Familiarity with using Internet-based investigative tools would be an added advantage. 
• Demonstrated commitment and attention to detail 
• Proven ability to work independently in a fast-moving environment 
• Ability to work effectively independently and collaboratively in a team 

Role Summary

We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.

What Makes This Role Different

This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:

• Use AI coding assistants daily to accelerate development without sacrificing code quality.
• Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
• Share best practices for AI-assisted workflows with the broader engineering team.
• Help define team standards for responsible and effective AI tool adoption.

Key Responsibilities

1  Feature Engineering & Delivery

• Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
• Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
• Translate product requirements and technical specifications into clean, maintainable implementations.
• Lead feature squads for medium-complexity initiatives from design through deployment.
• Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.

2  AI-Augmented Development Practices

• Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
• Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
• Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
• Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
• Stay updated on the latest AI development tooling and evaluate new tools for team adoption.

3  Code Quality & Engineering Excellence

• Write testable, modular, and well-documented code following the team's style guides and design principles.
• Drive test-driven development (TDD) and maintain code coverage targets.
• Perform thorough code reviews with constructive feedback; uphold engineering standards.
• Identify and address technical debt proactively; contribute to architecture improvements.
• Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.

4  Architecture & Technical Design

• Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
• Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
• Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
• Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.

5  Mentoring & Team Growth

• Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
• Onboard new team members by sharing codebase context, tooling setup, and team practices.
• Contribute to a culture of psychological safety, learning from failures, and continuous improvement.

6  Cross-functional Collaboration

• Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
• Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
• Participate in customer-facing escalations where deep technical expertise is required.

Required Qualifications

1  Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.

2  Experience

• 3 – 5 years of professional software engineering experience in a product-focused environment.
• Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
• Track record of shipping production features end-to-end with measurable business impact.

3  Technical Skills — Core Engineering

• Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
• Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
• Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
• Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.

4  AI Tooling Skills (Mandatory)

• Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
• Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
• Experience reviewing and validating AI-generated code for correctness and security.
• Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).

5  Nice to Have

• Contributions to open-source projects.
• Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
• Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
• Experience in a startup or scale-up environment with rapid iteration cycles.
• Knowledge of web security (OWASP Top 10, secure coding practices).

Behavioural Competencies

• AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
• Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
• Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
• Mentorship: Invests in the growth of peers and junior colleagues.
• Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
• Curiosity: Continuously explores new tools, languages, and architectural patterns.
• Collaboration: Works well in cross-functional squads; builds trust quickly.

Job Overview 

We are looking for a bright and exceptional Engineering Lead to join our Technology team. In this role, you will work closely with Product Managers, Subject Matter Experts, Data Scientists and Software Engineers to design, build, and optimize scalable data pipelines for our Data Platform. The ideal candidate has strong hands-on experience in distributed data processing, expertise in architecting Data Pipelines and operational skills to drive efficiency and speed.

Key Responsibilities:

• Work closely with the product and other teams to understand business requirements and translate them into robust engineering solutions.
• Architect, build and maintain data solutions and pipelines to meet business requirements.
• Engage and lead a team of talented technologists and establishing engineering best practices.
• Act as a point of contact for managing and driving production defects & stability improvements to resolution
• Oversee end-to-end data workflows from ingestion, transformation, and storage to data lake in both batch and streaming environments.
• Drive improvements in performance, reliability, and scalability of data pipelines 

Required Skills & Qualifications:

• A bachelor’s degree in computer science, Math, or other technical fields with 6-8 years of experience, Fintech domain is a plus.
• Demonstrated contribution to end-to-end delivery of enterprise-grade software
• Experience on Data Engineering, Data Lakes, Data Warehousing, Data Pipelines, Data Analytics tools.
• Experience using open-source Big Data technologies such as Spark, Hadoop, Elasticsearch, Kafka.
• Hands-on experience in enterprise application development
• Strong SQL skills and experience working with relational and NoSQL databases.
• Experience in cloud technologies is a plus
• Demonstrates advanced proficiency in Python for building scalable data pipelines, automating workflows
• Experience building scalable ETL/ELT data pipelines and data lakes/warehouses.
• Familiarity with workflow orchestration tools (Airflow, ADF, Glue Workflow, etc.).
• Solid understanding of CI/CD, version control, and DevOps practices.
• Experience working in agile, collaborative environments.
• Attention to detail and quality, and the ability to work well in and across teams
• Ability to advocate & influence multiple stakeholders
• Excellent problem-solving, communication, and leadership skills.
• Experience in leading a team of highly skilled engineers

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

Role Summary

We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.

Key Responsibilities

1  Model Design & Training

• Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
• Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
• Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
• Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
• Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.

2  Model Evaluation & Quality

• Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
• Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
• Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
• Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.

3  MLOps & Deployment

• Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
• Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
• Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
• Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.

4  Research & Innovation

• Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
• Contribute to internal knowledge sharing, technical documentation, and model cards.
• Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
• Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.

5  Collaboration & Stakeholder Management

• Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
• Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
• Participate in architecture reviews, sprint planning, and cross-functional design discussions.

Required Qualifications

1  Education

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
• Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.

2  Experience

• 4 – 6 years of professional experience in machine learning or NLP engineering.
• Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
• Demonstrable experience taking a model from dataset preparation through to production deployment.

3  Technical Skills — Core

• Programming: Python (proficient); familiarity with C++/CUDA a plus.
• Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
• NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
• Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
• Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
• Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
• Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
• Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.

4  Technical Skills — Nice to Have

• Experience with multimodal models or vision-language models (VLMs).
• Knowledge of model safety, alignment techniques, and responsible AI frameworks.
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.

Behavioural Competencies

• Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
• Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
• Ownership: Takes full accountability for model quality, timelines, and production reliability.
• Collaboration: Works effectively in cross-functional teams with diverse skill sets.
• Communication: Distils complex technical concepts for diverse audiences.
• Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.

Your Impact

The Review Associate is responsible for leveraging DISCO AI to conduct document review in accordance with international law firms and corporate legal department requirements. They are instrumental in assisting discovery or investigations and focus on the review of complex documents, first-level review, quality control processes, and enhancing client outcomes through increased efficiency and quality of work product.

What You'll Do

• Review Documents: Reviews large volumes of complex documents for relevancy, issue tags, and privilege, identifying key documents that assist in legal reviews. 
• Quality Control: Emphasizes accuracy with a “first-time right” approach, adhering to standard operating procedures (SOPs) and creating decision logs for quality assurance. 
• Client Engagement: Works closely with clients to understand pain points and provide solutions, liaising with product and engineering teams for feedback and feature requests. 
• Process Documentation: Assists in the preparation of standard documentation, including review protocols, status reports, training guides, and review workflow
• Time Management: Ensures all jobs are completed according to the client's specifications, in a timely fashion.

Who You Are

• 3-5+ years of document review management experience in e-discovery/managed review or related legal services. 
• Experience with one or more review platforms like DISCO, Relativity, Everlaw, Axcelerate, etc.
• Strong understanding of legal concepts and procedures. 
• Excellent written and verbal communication. 
• Exceptional problem-solving skills, attention to detail, strong organization, and client-service orientation.

Even Better If You Have...

• Experience with global client engagements across various time zones (primarily with clients in the USA and UK).
• Experience working in collaboration with product and engineering teams in a legal or technological environment.

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes.

Role overview

 As an MLOps Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, including SageMaker, Bedrock, and Snowflake Cortex. You will partner closely with data scientists, ML engineers, and platform teams to ensure models are reliable, secure, and scalable in production.

Key responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code.
• Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring.
• Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake.
• Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services.
• Automate environment provisioning, configuration, and dependency management across dev, test, and production.
• Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA).
• Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services.
• Contribute to best practices, standards, and documentation for ML platform and operations across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 4+ years of experience in software engineering, data engineering, or ML engineering with at least 2+ years focused on MLOps or ML platform work.
• Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows.
• Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
• Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
• Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK).
• Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
• Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.
• Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).

Soft skills and benefits

• Excellent problem-solving and analytical skills with a focus on reliability and automation.
• Strong communication and collaboration abilities, including working cross-functionally with engineering, data science, and product teams.
• Ability to work independently in a fast-paced environment
• Competitive salary and benefits package.
• Opportunity to work on impactful ML platforms that improve healthcare outcomes.
• Collaborative, innovative environment with professional development and growth opportunities.

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are seeking a talented mid-level Software Developer to join our growing engineering team as an individual contributor. You will work closely with our Engineering Manager and cross-functional teams to build scalable web applications and cloud-based solutions using modern technologies. This role offers the opportunity to contribute to architectural decisions while focusing on delivering high-quality code and technical solutions.

Key Responsibilities

• Develop and maintain scalable web applications using .NET Framework/Core/5+ and modern UI frameworks
• Develop, maintain and modernize Excel integrated .Net add-in for existing client base.
• Write clean, maintainable, and well-tested code following established engineering best practices
• Collaborate with engineering teams, product management, and design to implement technical solutions
• Participate in code reviews and contribute to improving development standards and processes
• Build and maintain RESTful APIs and integrate with third-party services
• Work with cloud platforms (Azure/AWS) to deploy and maintain applications
• Contribute to technical design discussions and architectural decisions
• Implement automated testing strategies and participate in CI/CD pipeline development
• Troubleshoot and resolve technical issues across the full software development lifecycle
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimation
• Stay current with emerging technologies and recommend improvements to existing systems
• Mentor junior developers and contribute to knowledge sharing within the team

Required Qualifications

• 3-5 years of professional software development experience
• Strong proficiency in .NET framework and .NET Core/5+ development
• Experience with modern UI frameworks (Angular, React, or Vue.js)
• Solid understanding of web development fundamentals (HTML, CSS, JavaScript)
• Experience with cloud platforms, preferably Azure or AWS
• Proficiency in database design and development (SQL Server, PostgreSQL, or similar)
• Understanding of software architecture patterns and design principles
• Experience with version control systems (Git) and collaborative development workflows
• Knowledge of API design and development (REST, JSON)
• Familiarity with Agile/Scrum methodologies
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration abilities
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

Preferred Qualifications

• Experience in Windows client application development
• Experience with containerization technologies (Docker, Kubernetes)
• Knowledge of DevOps practices including CI/CD pipelines and infrastructure as code
• Experience with automated testing frameworks and test-driven development
• Familiarity with microservices architecture and distributed systems
• Experience with NoSQL databases and data modeling
• Knowledge of GraphQL and modern API development practices
• Experience with monitoring and logging tools (Application Insights, New Relic, etc.)
• Understanding of security best practices and secure coding principles
• Experience with mobile development or full-stack development
• Knowledge of performance optimization and scalability considerations
• Previous experience in a startup or high-growth technology environment

What We Offer

• Competitive salary and comprehensive benefits package
• Opportunity to work with cutting-edge technologies and contribute to technical decisions
• Professional development opportunities and conference attendance support
• Flexible work arrangements with remote work options
• Collaborative team environment with experienced engineering leadership
• Health, dental, and vision insurance
• Generous PTO and parental leave policies
• Performance-based bonuses and growth opportunities
• Modern development tools and collaborative workspace

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Overview:   The Senior Software Development Engineer L4 is expected to successfully work through complex tasks independently, understand the intricacies of the software development life cycle, and display strong adherence to fundamental software engineering principles in the production of software. This position possesses a deep understanding of the computer’s architectural design and other issues like testing and scalability of software products.

Duties and Responsibilities:

• Front-End Development: Build responsive, high-performance, and user-friendly web interfaces using Angular, TypeScript, HTML, and CSS.
• Back-End Development: Develop and maintain server-side applications and logic using PHP (often with frameworks like Laravel or NestJS).
• API Development and Integration: Design, develop, and implement robust RESTful APIs and web services to allow seamless data flow and integration between the Angular frontend and PHP backend, as well as with third-party services.
• Collaboration: Work closely with cross-functional teams including designers, product managers, and other developers to gather requirements, define project specifications, and deliver high-quality solutions.
• Code Quality and Testing: Write clean, maintainable, and testable code, participate in code reviews, and implement automated testing strategies to ensure code integrity and reliability.
• Troubleshooting and Optimization: Identify, debug, and resolve complex technical issues across the full stack, and optimize applications for maximum performance, speed, scalability, and security.
• Documentation and Best Practices: Create and maintain technical documentation, and stay up-to-date with emerging technologies and industry trends.

Job Requirements:

• 4 - 8 years of experience with software development in one or more programming languages, and with data structures/algorithms;
• Strong expertise in Angular and core front-end technologies (HTML5, CSS3, JavaScript, TypeScript).
• Solid experience with server-side programming using PHP (versions 8+) and related frameworks.
• Proficiency in database management systems like MySQL or PostgreSQL.
• Experience with API development and integration (RESTful services).
• Familiarity with version control systems, specifically Git.
• Knowledge of cloud platforms like AWS or Azure is beneficial.
•  

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology
• Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.

Soft Skills:

• Excellent problem-solving and analytical abilities.
• Strong communication and collaboration skills for working in an Agile/Scrum environment.
• Attention to detail and a commitment to quality.

About Nanonets

Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.

From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data

We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.

Read about the release here: Forbes | TechCrunch

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

About the role

We’re looking for a technically strong, customer-facing problem solver to bridge product, engineering, and go-to-market teams. In this role, you’ll support the sales process by building tailored demos, validating technical requirements, and translating customer needs into practical workflows and solutions. You’ll work closely with Sales, Product, and Customer Success to ensure a smooth journey from discovery to onboarding, while also prototyping quick solutions to accelerate deal cycles.

What You’ll Do

• Build and customize high-impact customer demos by setting up tailored environments and workflows aligned to each prospect’s use case, including configuring agents, integrations, and realistic sample data.
• Partner closely with Sales on customer-facing calls to showcase technical capabilities, answer implementation questions, and translate product features into clear, customer-specific workflows and ROI narratives.
• Drive technical validation during discovery by deeply understanding customer requirements, assessing feasibility, and evaluating integration needs across systems such as EHRs, payer portals, telephony platforms, and APIs.
• Proactively identify edge cases, potential blockers, and any custom work required early in the sales cycle to ensure smooth downstream execution.
• Support activation and onboarding by collaborating with Activation/Customer Success and Product teams to deploy custom agents, configure workflows, fine-tune prompts, and assist with initial QA/UAT.
• Own rapid prototyping efforts by building lightweight workflows or custom solutions that help accelerate deal cycles and bridge gaps until fully productized features are available.

Required Qualifications -

• B.E/B.Tech or from a Tier 1 school.
• Minimum 2 years in a technical role.

Need to Have:

• Python
• Relational Database (any major DB)
• Understanding of APIs
• Git version control
• Excellent written & verbal communication skills

Good to Have:

• Experience with React, NodeJS, Golang, Cassandra, Kubernetes, Docker
• Exceptional verbal and written communication skills, including the ability to work with technical and non-technical audiences; as well as communicate effectively to individual contributors, management, and executive leadership.
• Strong communications skills, with the distinctive ability to empower and influence people without authority or a direct reporting relationship.

Angular developer will design and build user interfaces for web applications using the Angular framework while collaborating with back-end teams to integrate APIs and ensure seamless data flow. This role requires expertise in modern front-end technologies and a strong understanding of how to connect the client-side to server-side services.

Key Responsibilities

• Develop User Interfaces: Design and develop dynamic, responsive user interfaces and single-page applications using Angular, HTML5, and CSS3.
• API Integration: Collaborate with back-end developers to integrate RESTful APIs and other web services to ensure seamless data flow and functionality.
• Write Quality Code: Produce clean, efficient, maintainable, and well-documented code using TypeScript and JavaScript best practices.
• Optimize Performance: Enhance application performance by identifying and resolving bottlenecks, optimizing code, and ensuring responsiveness across devices and browsers.
• Testing and Debugging: Implement and maintain unit and integration tests (using tools like Jasmine or Karma) and debug issues.
• Team Collaboration: Work within agile cross-functional teams, including designers, product managers, and back-end developers, to translate business requirements into technical solutions.
• Stay Updated: Keep current with the latest Angular updates, features, and web development best practices.

Required Skills and Qualifications

• Technical Proficiency: Strong knowledge of the Angular framework and core concepts like components, services, and modules.
• Programming Languages: Expertise in TypeScript, JavaScript, HTML5, and CSS3.
• API Knowledge: Understanding of RESTful APIs and asynchronous request handling.

Tools and Methodologies:

• Experience with version control systems like Git.
• Familiarity with build tools (e.g., Webpack, Gulp) and testing frameworks (e.g., Jasmine, Protractor).
• Experience working in an Agile/Scrum development environment.
• Problem-Solving: Strong analytical and problem-solving skills to efficiently identify and resolve complex issues.

Communication:

• Excellent communication and collaboration abilities to work effectively within a team environment and with stakeholders.

Job Summary

As a member of the Enterprise Reporting and Business Intelligence team, you will serve as a strategic bridge between data engineering and business end-users. You will play an end-to-end role in developing intuitive and interactive dashboards to empower GLG stakeholders to make informed, data-driven decisions. This position requires a proactive mindset to anticipate data gaps and needs as well as the ability to act as a connecting force within and across global teams.  

Key Responsibilities 

• Strategic Stakeholder Partnership: Develop a deep understanding of commercial, operational, and people data. Partner with key stakeholders to proactively anticipate data gaps and translate business questions into high-impact reporting and insights. 
• Solution Engineering & Optimization: Master the existing suite of enterprise dashboards to drive adoption and cohesion. Proactively identify opportunities to enhance existing assets versus building net-new solutions to ensure a streamlined user experience. 
• Cross-Functional Collaboration: Work closely with partners in Advanced Analytics, Product, Finance, Engineering, and Commercial Operations. Act as the glue between these teams, proactively surfacing opportunities and advocating for deeper partnership and involvement by specialist teams. 
• Data Modeling & Strategy: Design and maintain effective LookML models and dashboards. Work closely with data engineers to integrate new data sources, improve data quality, and optimize data infrastructure to support long-term business goals. 
• User Support, Empowerment, and Continuous Improvement: Facilitate the broad adoption of BI solutions by delivering training and proactive assistance, ensuring end-users are equipped to self-serve and derive value from data. Troubleshoot and resolve issues with dashboards and underlying databases while simultaneously documenting methodologies to ensure transparency and consistency across the enterprise. 

Requirements 

• Education: A bachelor's degree in a quantitative field such as Computer Science, Mathematics, or Statistics. 
• SQL Experience: Minimum 3 years of experience working with relational databases and proficiency in SQL. 
• BI Tool Proficiency: Solid working knowledge of one or more Enterprise Business Intelligence tools, specifically Looker, Tableau, QlikView, or Power BI. 
• Communication: Strong written and verbal communication skills with the ability to translate between business and technical concepts. 
• Technical Documentation: Strong ability to identify, define, and document business requirements, functionality, and systems. 
• Autonomy: Proven ability to work autonomously with minimal supervision. 

Preferred Qualifications 

• Experience with Snowflake or similar cloud data warehouses. 
• Proficiency in version control tools like GitHub. 
• A passion for acting as a consultant to the business, identifying trends and opportunities that others might miss. 

WHO YOU ARE:
The Specialist – Annuity Processing (Post-Issue) is responsible for managing post-issue annuity tracking and overall work a high degree of accuracy, efficiency, and regulatory compliance. This role supports the ongoing service of annuity contracts after policy issuance and requires working knowledge of annuity products, strong attention to detail, and the ability to Ensure team meets SLA, Accuray targets.

WHAT YOU’LL DO:
• Monitor processing of post-issue annuity transactions including policy changes, withdrawals, transfers, beneficiary updates, address changes, and ownership updates
• Review and validate post-issue requests and supporting documentation for accuracy and completeness
• Ensure all transactions comply with company policies, carrier guidelines, and regulatory requirements
• Ensure Team is performing calculations related to withdrawals, surrender charges, fees, and tax implications as applicable
• Research and resolve discrepancies, errors, or missing information through coordination with internal teams, carriers, and external partners
• Ensure team Updates and maintains accurate records in policy administration systems
• Meet established service-level agreements (SLAs), productivity targets, and quality standards
• Identify trends, recurring issues, and process improvement opportunities
• Provide guidance or informal mentoring to Associate I team members as needed
• Participate in audits, quality reviews, and compliance checks
Map and optimize workflows; define SOPs, work instructions, and control checklists.
• Create and maintain knowledge articles, decision trees, and training decks.
• Lead UAT for platform changes (e.g., product launches, rate table updates, interface fixes) and sign off on readiness.
• Partner with Ops Excellence/Lean teams to deliver automation, RPA, and straight through processing improvements.

WHAT YOU’LL NEED:

• Bachelor’s degree (minimum)
• 5+ years of total work experience (Life insurance domain) that required a focus on quality including attention to details, accuracy, and accountability for your work product.
• Experience in a professional/office related environment that required you to work regularly scheduled shifts.
• Experience using a computer with Windows PC applications that require you to use a keyboard, navigate screens, and learn new software tools.
• Effective English business communication skills required to exchange information with client.
• Proven ability to manage client requests and escalations in a fast-paced environment.
• Strong facilitation, problem-solving, and coordination skills.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities with accuracy and efficiency.
• Strong stakeholder management and collaboration skills.
  
  

Preferred Qualifications
• Experience in life insurance, annuity administration, or financial services operations.
• Exposure to client service delivery or global delivery models.
• Knowledge of process improvement methodologies (Lean, Six Sigma).
• Experience with operational reporting and data analysis.
• Advanced proficiency in Microsoft Office tools.

WHAT’S IN IT FOR YOU?
We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

THE ROLE

Quality Control Manager, Leather Garments & Accessories

Location: Gurgaon, India

Responsibilities

• Oversee QC operations at the factories, including the inspections of raw materials, in-process / in-line production and finished goods.
• Provide guidance to manufacturing partners’ QC and production on in-line production quality control, assisting first production qualification, problem-solving and continuous improvement.
• Investigate and address quality-related issues, including customer complaints and non-conforming materials.
• Prepare and submit reports on quality control activities, including inspection results, audits, and non-conformance reports
• Ensure factories comply with company standards and good documentation practices by providing accurate records of inspections, test results, and other quality-related documentation.

Qualifications

Required: 

• Bachelor's degree in science or engineering or relevant field
• 8-15  years of proven experience in quality control. Ideally in consumer goods or retail industries.
• Quality control experience in a manufacturing environment and/or field quality experience.
• Strong knowledge of quality control methodologies, tools, and best practices.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across different partners
• Demonstrated proficiency in root cause analysis as applied in a manufacturing environment.

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes. We are seeking a highly skilled Senior Machine Learning SDET to ensure the quality, reliability, and safety of our ML-powered healthcare products.

Job Description:

As a Senior Machine Learning SDET, you will be responsible for designing, implementing, and maintaining robust testing frameworks and quality strategies for machine learning systems across their entire lifecycle. You will collaborate closely with data scientists, ML engineers, software engineers, and product managers to validate models, data pipelines, and ML-driven services in production environments. Your work will help ensure that our ML solutions are accurate, performant, secure, and compliant with healthcare standards, ultimately improving patient care and operational efficiency.

Key Responsibilities:

• Test Strategy for ML Systems: Define and own the end-to-end test strategy for ML models, data pipelines, and services, including functional, performance, regression, and reliability testing.
• ML Model Validation: Design automated tests to validate model behavior (e.g., accuracy, drift detection, bias, stability, and robustness) across training, staging, and production environments.
• Data Quality & Pipeline Testing: Build automated tests and monitoring for data pipelines to ensure schema integrity, data completeness, data freshness, and correctness for training and inference.
• Test Automation Frameworks: Develop and maintain scalable test automation frameworks and tools for APIs, microservices, and ML workflows, integrating them into CI/CD pipelines.
• Performance & Scalability: Design and execute load and performance tests for ML inference services and batch jobs, focusing on latency, throughput, and resource utilization.
• Monitoring & Observability: Collaborate with ML and platform engineers to implement monitoring, logging, and alerting for ML systems, including model performance and data drift.
• Shift-Left Quality: Embed quality practices early in the ML development lifecycle, including testable model design, test data generation, and automated validation in CI.
• Tooling & Infrastructure: Leverage and extend existing tools (e.g., Python test frameworks, cloud services, containerization, big data tools) to support robust ML testing.
• Collaboration: Work closely with cross-functional teams to understand business and regulatory requirements and translate them into verifiable test scenarios and acceptance criteria.
• Mentorship: Provide guidance and mentorship to engineers on best practices for testing ML and data-intensive systems, fostering a culture of quality and continuous improvement.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. is a plus.
• Experience: Minimum of 5 years of experience in software test engineering or SDET roles, with at least 3 years focused on testing machine learning, data, or distributed backend systems in production.

Technical Skills:

• Strong proficiency in Python and testing frameworks such as pytest, unittest, or similar, with experience testing ML code and data pipelines.
• Hands-on experience with ML libraries and ecosystems (e.g., TensorFlow, PyTorch, scikit-learn) sufficient to design model validation and testing strategies.
• Hands-on experience with generative AI concepts (LLMs, RAG, vector databases, prompt engineering, and transfer learning) and their testing implications is a strong plus.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes) for deploying and testing ML services.
• Strong knowledge of data structures, algorithms, and software engineering best practices, including code reviews, version control, and CI/CD.
• Experience building and integrating automated tests for REST/gRPC APIs and microservices, including contract and integration testing.
• Experience with performance and load testing tools and techniques for backend and ML inference services.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, ELK, or cloud-native equivalents) for tracking model and system health.

Domain Knowledge:

• Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.
• Experience testing systems in regulated, high-compliance, or safety-critical environments is highly desirable.

Soft Skills:

• Excellent problem-solving and analytical skills, with a strong focus on edge cases, failure modes, and risk assessment.
• Strong communication and collaboration abilities, with comfort working across ML, data, product, and platform teams.
• Ability to work independently and as part of a team in a fast-paced environment, balancing quality, speed, and pragmatism.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on impactful ML-driven healthcare products that improve patient outcomes and operational efficiency.
• Collaborative and innovative work environment.
• Professional development and growth opportunities in ML quality engineering and SDET leadership.
• Flexible work arrangements, including hybrid and remote options.

Join us in ensuring that cutting-edge AI and machine learning solutions are not only powerful but also safe, reliable, and trustworthy in healthcare. We look forward to hearing from you.