Job Title: Finance SME

Role Overview: 

As a Consultant – Analytics - COE, you will design, execute, and scale analytical workstreams that power ClearView’s client engagements. You will work on projects such as ATUs, forecasting, conjoint analyses, proprietary data mining and survey designing and coding (e.g., Qualtrics), while contributing to tool development and analytics automation for the firm. As a CoE team member, you will support global project teams in structuring, analyzing, and visualizing complex datasets to inform strategic recommendations for life sciences clients. You will combine strong analytical skills with an understanding of life sciences to help answer critical questions across the product lifecycle.

Key Responsibilities:

• Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.
• Collect, clean, structure, and validate data from multiple sources, including sales, claims, epidemiology, primary research outputs, and internal proprietary datasets.
• Design, program, and analyze quantitative surveys, including ATUs, demand assessments, and pricing research; support project teams in defining sampling plans and questionnaire logic.
• Build and maintain quantitative models for market sizing, forecasting (patient based and sales based), patient flow, scenario testing, and pricing / contracting simulations across a variety of therapeutic areas and business questions.
• Conduct conjoint / discrete choice and related trade off analyses, including experimental design, model estimation, and result visualization under guidance from senior team members.
• Support web crawling and data harvesting efforts to automate tracking of markets, competitors, and financial / deal activity where appropriate.
• Develop and maintain reusable analytical assets (e.g., standard forecast frameworks, KPI dashboards, ATU codebooks, pricing simulators) that can support multiple types of strategic work, including launch, access, and corporate growth questions.
• Develop dashboards and visuzalizations (e.g., in Excel, PowerPoint or BI tools) that clearly communicate key findings and trends to internal and client stakeholders.
• Support the creation and refinement of reusable analytical tools and templates (e.g., standard forecast models, patient flow frameworks, KPI trackers).
• Document assumptions, methodologies and data sources to ensure transparency, reproducibility, and efficient hands offs across global teams.
• Collaborate closely with Insights and consulting teams to integrate analytics outputs into cohesive storyline and client deliverables.
• Contribute to internal capability building by sharing analytical best practices and participating in developing training material and code or template libraries.

Qualifications & Requirements:

• 4–6 years of experience in analytics, forecasting, or data driven roles within life sciences consulting, pharma, healthcare analytics, or related sectors; strong analytical internships may be considered.
• Undergraduate or Master’s degree in a quantitative or life sciences field (e.g., engineering, statistics, mathematics, economics, biostatistics, pharmacy, biotechnology).
• Strong quantitative and problem-solving skills, with the ability to decompose ambiguous business questions into structured analytical workplans.
• Advanced Excel skills (e.g., advanced formulas, pivot tables, basic data modeling, Macros/VBA); exposure to forecasting and scenario analysis preferred.
• Experience with at least one analytical or programming tool (e.g., R, Python, SQL, or a BI platform such as Power BI/Tableau) is a plus; willingness to learn these tools is essential.
• Strong attention to detail and comfort working with large or complex datasets, including data integrity checks and reconciliation.
• Clear written and verbal communication skills in English, with the ability to explain analytical approaches and results to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment supporting multiple projects and time zones.
• Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.

We are seeking a MuleSoft Developer with 2 to 4 years of experience to join our IT team. The ideal candidate should have a strong understanding of MuleSoft's capabilities and integration patterns, proficiency in troubleshooting, and experience in writing custom functionality in Java that is not available in MuleSoft. You will be responsible for designing and developing integrations and APIs using MuleSoft's Anypoint Platform and complex DataWeave transformations.

Key Responsibilities:

• Design, develop, and maintain APIs, integrations, and services using MuleSoft's Anypoint Platform.
• Utilize complex DataWeave transformations for data manipulation and orchestration.
• Write custom functionality in Java when not available in MuleSoft.
• Participate in the full software development life cycle: from requirement gathering, design, and development, through testing, deployment, and maintenance.
• Collaborate with internal teams to identify and understand the requirements and translate them into technical solutions.
• Implement security, encryption, and authentication on integrations and APIs.
• Proficiently troubleshoot and resolve integration and API issues.
• Monitor, analyze and optimize integration and API performance.
• Create and maintain technical documentation.
• Participate in code reviews to ensure code quality and distribute knowledge.
• Stay up-to-date with MuleSoft's latest technologies and best practices.

Required Skills & Experience:

• Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a MuleSoft Developer or similar role, ideally between 2 to 4 years.
• Strong knowledge of MuleSoft's Anypoint Platform, MuleSoft AnyPoint Studio, and related technologies.
• Experience with SOAP and REST web services, RAML in Mule, and complex data transformation languages like DataWeave.
• Experience in writing custom functionality in Java that's not available in MuleSoft.
• Working knowledge in writing PL/SQL in any RDBMS such as SQL, Oracle etc.
• Knowledge of integration patterns and best practices.
• Experience with agile methodologies.
• Proficient troubleshooting and problem-solving skills.

#LI-SC1

#LI- Hybrid

MongoDB is seeking a Senior Analyst to support data-driven, people-focused decision making for the company.  Partnering with our People team, you will transform HR and organizational data into actionable insights to help us hire the right talent, manage our overall workforce, and improve workforce effectiveness, leading to better outcomes for our people and the company.

This position requires someone with strong analytical and technical skills, the ability to tell a story with data, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.

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

Responsibilities

• Partner with People teams (compensation, recruiting, culture/talent/development, etc.) to understand their questions, turn analyses into actionable data-driven insights, and make business recommendations
• Help develop and execute against roadmap for people data investments to both capture near-term value and set up the team for long-term success
• Liaise with Data Engineering and HRIS teams to create and manage a curated central repository for people data
• Design and build automated dashboards to empower stakeholders to self-serve their data and analytical needs
• Prioritize and triage analytical and reporting asks from across the People team
• Develop and support ongoing data governance and data quality processes
• Effectively communicate analytical findings to non-technical audiences

Requirements

• 3+ years of hands-on analytics experience (focus on people/HR analytics preferred)
• Advanced SQL skills, comfortable manipulating very large datasets 
• Proficient in Python or R with a strong focus on data wrangling and data analysis
• Extensive experience with Tableau or another leading visualization tool is required
• Experience analyzing complex people data (e.g. headcount, attrition, recruiting metrics, compensation data) strongly preferred but not required
• Familiarity with data architecture fundamentals and data warehousing
• Proficiency with data modeling and data quality best practices
• Demonstrated ability to effectively communicate and set priorities with key stakeholders at all levels of the organization
• Highly collaborative and organized, with a strong attention to detail 
• Comfort with ambiguity and ability to work in a self-guided manner
• Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
• Exposure to Modern Cloud Data Warehouses preferred.

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.

The SalesOps Associate provides front-line support to our rapidly-growing sales organization, including answering inquiries, maintaining data health, performing research and working on tasks that enable Account Executives to take data driven decisions, and maintaining the health of our sales tools and systems.

MongoDB’s SalesOps Associates are mentored and coached by highly-skilled Sales Operations leaders with shown track records. SalesOps Associates will gain practical, real-world sales operations experience, along with exposure to the best sales methodology in the industry. This experience provides an enviable foundation for your business career, whether you are passionate about a future in leadership or sales.

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

Shift Timings: 2:00 PM-10:00 PM (cabs will be provided)

You will have the opportunity to

• Accelerate your career through exposure to the most effective sales methodology and through working side by side with the best sales professionals in the industry
• Get insights and experience first-hand how an effective, fast-paced organization operates through learning about marketing/sales processes, collaboration and tools
• Establish a strong network of peers and mentors
• Gain insight into a $45Bn technology industry that is rapidly transforming

Responsibilities

• Data maintenance and cleanup initiatives such as Account Hierarchy, merging unnecessary accounts, contact movement and contact merging, cloud org movement etc
• Front-line/Tier-1 Support for Sales via the Sales Operations Case Queue, including initial triage of new Cases, fixing/resolving/responding to Cases as knowledge & experience allows, and raising cases to Salesforce.com Administrators or other teams like Deal Desk where appropriate
• Serve as an initial point of escalation from other Sales Support functions (Deal Desk, Commissions, Support Operations) where they need assistance from SalesOps
• Data updates, such as Account/Territory Assignments
• User Administration e.g. activating new users and deactivating departing users in sales tools
• Identification of trends of issues, problems, and requests that may be symptoms of broader opportunities for improvements in processes, tools, or training
• Configuration/setup tasks in Salesforce.com and other Sales Tools, such as our custom Territory Management solution or our user hierarchy management in Aviso (forecasting tool)
• Adaptive to constantly shifting priorities and responsive to unpredictable volume of inbound requests with varying degrees of vitality
• Ability to learn prescribed tasks quickly, and grow into understanding and supporting less prescribed processes along with creating documentation SOPs
• Strong analytical skills, multitasker, gives attention to detail & showcases customer centricity in managing day to day operations
• Identify and qualify new accounts to support the team in managing territory bullpens globally
• Build Pipeline Generation (PG) research reports by researching accounts and executives to identify and build lists of key roles and targets
• Collects, analyzes, and interprets data to identify trends, patterns, and generates insights
• Writing SQL queries to automate manual processes
• Create Sigma/Tableau dashboards
• Analyzing code segments regularly
• Working with internal customers across different time zones
• Create requirement gathering docs, estimate project timelines, UAT scenarios, automation release

Skills & Experience

• Graduate in any discipline with a minimum 2.5 years of sales operations experience is preferred
• Must have good Salesforce Knowhow and basic understanding of objects: account, contact, lead, opportunity
• Hands on experience on Data Loader, Demand Tools or similar tools and knowledge of research databases such as ZoomInfo, InsideView, Crunchbase etc is preferred
• Hands on experience on sales productivity and efficiency tools such as LeadIQ, ZoomInfo, and Cognism is preferred
• Experience in working with ticketing/case management systems e.g. Salesforce, Zendesk, Jira and similar tools
• Able to handle and work with large volume of data
• Understanding of sales cycle and process & data segmentation
• Must have hands on experience on Microsoft Office/G suite and intermediate proficiency in Advanced Excel and Macros
• Must show process and business oriented mindset
• Must have critical thinking, attention to detail, problem solving and troubleshooting attitude
• Should have problem identification and articulation skills
• Experience - 3 yrs in SQL
• Strong Automation Skills with experience in SQL/BI
• Good Data warehouse knowledge
• Bachelor’s degree or higher in Operations, Business, Project Management, Engineering
• Open-minded, creative, and proactive thinking
• Prior experience working with bulk update tools like the workbench

Behavioral & Engagement Expectations

• Team player
• Open to feedback
• Contributor in meetings
• Assertiveness
• Stakeholder management
• Able to carry out repetitive work
• Collaborative mindset
• Customer-Focused Mindset
• Problem-solving attitude
• Analytical skills

Perks & Benefits

• Macbooks are company-standard
• Competitive salary and equity
• Comprehensive Health cover, dental cover, travel insurance & Life Insurance
• 20 weeks of Paternity and 26 weeks of Maternity leave to spend time with new arrivals

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 - 425501

As a Senior Engagement Manager, Professional Services Sales, you will be a key leader within the Sales organization and work cross-functionally with the Application Modernization Platform (AMP), Professional Services (Delivery), and Customer Success organizations to drive professional services sales and subscription renewals. This is a quota carrying position.

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

An ideal candidate will have

• A BS degree in Computer Science, Mathematics, Engineering or equivalent professional experience
• 7+ years experience in the sale of Professional Services and/or technology solutions at an enterprise software company
• Experience owning their own PS quota, pipeline generation, and forecasting
• An understanding of the intersection of AI & Modernization
• Strong presentation skills: Showing the value, capabilities, and differentiators of complex service solutions using methodologies and service offerings
• The ability to collaborate as a part of a larger account team to build and execute complex account strategies and sales plays
• An ability to scope and estimate projects
• Ability to travel up to 20% of the time

Other helpful skills include

• Experience with delivery of professional services (ie. Project Manager/Consultant, Pre-Sales or Sales)
• General knowledge of Databases (RDBMS, SQL, NoSQL)
• Knowledge of the software development lifecycle and associated development methodologies (e.g. Agile, Waterfall)
• Knowledge of software architecture including both cloud and on-premise technologies e.g. AWS, Azure, GCP, Kubernetes, Openshift

What you’ll do at MongoDB

• Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies
• Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of work (SOWs)
• Partner with a best-in-class sales organization and work effectively as a part of a larger team to develop account strategies and plans for the successful adoption, growth, and utilization of MongoDB
• Have a solid sense of ownership, driving all deals or technical scoping from inception to closure
• Manage the Professional Services pipeline for bookings and revenue forecasts for your region
• Expertly articulate the business value of professional services, talking knowledgeably and credibly about service delivery issues, challenges, strategies, approaches, and mitigating risks
• Work with our practice team to propagate internal skills and experience through the development of repeatable assets (estimates, proposals, SOWs, templates, tools, case studies etc.)
• Work with the delivery team to transition any agreed upon project scope and customer expectations to ensure successful project delivery
• Proactively seek opportunities to support and mentor other team members and share best practices
• Have situational awareness and react appropriately in group settings

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.

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram  near an airport that will enable them to easily visit customer sites in APAC.

This role can be based remotely in Bengaluru, Mumbai or Gurugram.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

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: 426250

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

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 seeking experienced Software Engineers to design and build mission-critical APIs and backend systems that handle millions of user search requests every day. This is an exciting opportunity to work on large-scale distributed systems, shape technical direction, and help build reliable software that supports Agoda’s global platform.

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

• 7+ years of experience building and maintaining performance-critical applications in production environments using Scala, Java, or C#.
• Proven experience leading projects, technical initiatives, and/or teams, with end-to-end ownership of systems.
• Familiarity with data platforms such as SQL, Cassandra, or Hadoop, with a solid understanding of how different use cases require different data solutions.
• Strong foundation in algorithms and data structures.
• Excellent coding and problem-solving skills.
• Genuine passion for software engineering, with a continuous desire to learn and improve.
• Strong verbal and written communication skills in English.

It’s Great If You Have  

• Experience working in Scrum or Agile environments.
• Experience building large-scale distributed systems or products.
• Familiarity with core engineering tools such as Git, TeamCity, and Puppet.
• Hands-on experience with technologies such as Kafka, RabbitMQ, ActiveMQ, MSMQ, Spark, Hadoop, Cassandra, MongoDB, Play Framework, or Akka.

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

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 looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day.

In this Role, you'll get to      

• Lead development of features, experiments, technical projects and complex systems 
• Be a technical architect, mentor, and driver towards the right technology 
• Continue to evolve our architecture and build better software
• Be a major contributor to our agile and scrum practices 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution
• Constantly look for ways to improve our products, code-base and development practices 
• Write great code and help others write great code
• Drive Technical decisions in the organization.

What You’ll Need to Succeed

• At least 7+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java or C#.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved
• Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements
• Good understanding of algorithms and data structures
• Strong coding ability
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills
• Excellent verbal and written 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 #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

Job Title: Full stack developer - Bangalore and Gurgaon

About Us

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

WHY JOIN CAPCO?

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

Location - Bangalore, Pune, Gurugram

Experience - 5 to 8 Years

Skills and Qualifications:

About the Job: Mobile Application & Web Developer Detail-oriented and innovative Mobile Application & Light Web Developer with extensive experience building, optimizing, and supporting cross-platform native and hybrid apps and light web solutions. Proven ability to leverage modern frameworks for intuitive user experiences, integrate with critical APIs and backend services, and collaborate within agile teams. Passionate about delivering secure, customer-focused mobile and web experiences. Skills & Technologies

• Mobile: React, Angular, Ionic, Capacitor, Cordova, Typescript/JavaScript • (Swift (iOS), Kotlin (Android)) • Web: React, Angular, TypeScript, JavaScript (ES6+), Material UI, Redux • Testing & CI/CD: Jest, Jasmine, Karma, CodeMagic, AppFlow, GitLab Pipeline • Cloud & APIs: Firebase, AWS, RESTful APIs, GraphQL, MongoDB, SQL, Redis • Other: CSS3, SASS, HTML5, PWA, Offline-first/Local Storage, UI/UX Design • Workflow: Agile/Scrum, Remote collaboration, Unit testing, Code reviews

Technical Proficiencies Category || Technologies / Tools Mobile Dev || React, Ionic, Capacitor, Cordova, Swift, Kotlin Web Dev || React, Angular, TypeScript, UI Libraries (Material, Tailwind) APIs/Cloud || RESTful APIs, GraphQL, Firebase, AWS Testing/CI || Jest, Jasmine, GitHub Actions

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Location Details: Gurgaon, India

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

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

What you'll get to do...

• Own lifecycle email campaigns end‑to‑end, setting strategy and acting as a thought partner to define objectives, target audiences, segmentation, and messaging 
• Lead brief development, copywriting, and creative direction, and drive execution across build, QA, launch, and post‑campaign analysis for continuous optimization 
• Build and deploy campaigns in SFMC, including data extensions, dynamic/ personalized content, and basic automations
• Use basic SQL to define, validate, suppress, and measure audiences, ensuring accurate targeting and measurement readiness 
• Partner closely with Product, PMM/GTM, Design, Analytics, and Engineering to translate business goals into effective briefs, launches, performance insights, and an experimentation roadmap 

Your experience should include...

• 6+ years of experience in email/ lifecycle marketing, building campaigns from the ground up using a marketing automation platform (preferably Salesforce Marketing Cloud) for US audiences
• Proven end‑to‑end ownership from concept to launch (brief → copy/creative → build → QA → deploy), with strong project management and stakeholder communication skills 
• Strong copywriting, creative direction, and lifecycle marketing strategy mindset to deliver high‑quality, high‑performing email campaigns 
• Working knowledge of SQL for audience selection and validation (joins, aggregations, suppression, data QA) 
• Analytical and experiment‑minded, with the ability to define success metrics, interpret results (conversion, revenue, retention, CTR, deliverability), and turn insights into clear actions 

You might also have...

• Experience in MessageGears
• Experience in the payment processing or e-commerce industry

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

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

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

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

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

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

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

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

The Trust & Safety Operations team safeguards Roblox’s community and creators. Within this organization, our IP and Legal Compliance Operations teams are dedicated to protecting Intellectual Property, ensuring strict regulatory compliance, and facilitating a safe, fair environment for rights holders, developers, and users. We scale Operations and elevate our users’ experience through a multi‑year vision, rigorous execution, and data‑driven decision making.

You will be reporting to the Manager Data Operations and act as the data SME for both IP and Compliance Operations, working closely with other domain-specific data analysts on the team. This position is critical to understanding, optimizing, and reporting on the operational performance of our Intellectual Property enforcement and our Legal Compliance workflows.

You Will:

• Own the analysis and reporting for both Intellectual Property Operations and broader Legal Compliance Workflows. Deliver recurring KPI packs for senior leadership across Safety, Legal, and Developer Relations partners.
• Identify opportunities through trend and cohort analysis; build business cases and lead cross‑functional initiatives from concept to impact.
• Collaborate with Data Science, IP Product, Policy, and Operations teams to define and maintain metric definitions, KPI hierarchies, and analytical guardrails that drive operational excellence in both IP protection and compliance obligations.
• Design, build, and maintain advanced operational reports and dashboards, delivering critical insights on IP enforcement and overall compliance health to senior-level management and cross-functional stakeholders across Operations, Legal, Product, and Engineering.
• Select and apply the most appropriate analytical methods to assess both IP operations and Legal Compliance programs, extract relevant data, and derive actionable insights to ensure we meet all of Roblox's legal and regulatory obligations efficiently and accurately.
• Monitor industry trends in digital rights management, regulatory compliance frameworks, and analytical best practices; incorporate them into our operational data strategies and tooling.

You Have:

• 7+ years of experience in a professional setting, with demonstrated experience in quantitative analysis and complex program management.
• Domain Knowledge: Good understanding of intellectual property operations (like copyrights, trademarks, and Digital Rights Management) and legal compliance processes (such as regulatory response SLAs, privacy operations, or law enforcement guidelines) in the tech industry—either through hands-on experience or by working closely on cross-functional projects.
• Technical Proficiency: Advanced proficiency in SQL, including complex queries, common table expressions, and window functions; working knowledge of Git and Python and/or R is highly desirable.
• Cross-Functional Leadership: Proven ability to work effectively with cross-functional teams (specifically Legal, Product, Engineering, and frontline IP/Compliance Operations) to drive strategic initiatives.
• Problem Solving: Strong analytical skills with a track record of using data to inform decision-making, optimize complex workflows, and solve operational bottlenecks.
• Business Acumen: Deep understanding of business operations and the ability to align data strategies with strict legal, regulatory, and IP business objectives.
• Expertise in consulting with stakeholders and managing complex projects from inception to completion.
• Strong multitasking and time management skills to balance the distinct needs of IP operations and Compliance operations.
• Minimum of a Bachelor’s degree in a technical field / analytical discipline (preferred: Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, Business Analytics or equivalent), with a strong preference for an MBA or MS or equivalent experience

As a Quality Assurance Lead, you will act as the strategic driver for quality integrity across the vendor network. You are responsible for designing the audit framework, managing senior-level stakeholder relationships, and ensuring that the Quality Assurance team effectively identifies and mitigates risk within vendor operations.

You Will:

• Lead the Audit the Auditor program to ensure global consistency in policy enforcement.
• Serve as the primary point of escalation for complex quality disputes and policy interpretations between Roblox and vendor partners.
• Analyse large-scale quality data sets to provide executive-level insights on vendor performance and platform health.
• Design and implement calibration standards that align vendor quality outcomes with Roblox internal benchmarks.
• Mentor and develop Quality Assurance Associates to improve their technical auditing and analytical capabilities.
• Collaborate with Policy and Product teams to ensure quality rubrics are updated in real-time as platform features evolve.

You Have:

• At least 5 years of experience in operations, quality management, or audit, with at least 3 years in a leadership role within a trust and safety environment.
• Proven track record of managing large-scale BPO quality operations and implementing process improvement frameworks like Lean or Six Sigma.
• Bachelor’s degree in a relevant field; advanced certifications in quality auditing or risk management are preferred.
• Data fluency (Tableau, Looker, or PowerBI) and proficiency in SQL or complex spreadsheet modeling.
• Exceptional negotiation and presentation skills, with the ability to influence senior leadership and external vendor executives.

We are looking for a detailed-oriented and proactive Product Support Specialist to own the health and accuracy of our Text Filtering systems. In this role, you will sit at the intersection of Customer Support, Policy, and Engineering.

You will be responsible for ensuring our community remains safe while minimizing friction for our users. You will act as the first line of defense against new trends in policy violations and serve as the primary point of contact for users and developers experiencing filtering issues. If you are passionate about online safety, skilled in Regular Expressions (Regex), and enjoy solving complex linguistic puzzles, this is the role for you.

You will

Manage Incident Resolution & Support

• Handle Inquiries: Respond to user, developer, and internal reports regarding text filtering (both blocking and allowlisting) in a timely, empathetic, and professional manner.
• Resolve Escalations: Investigate false positives and false negatives, addressing user concerns and resolving blocking issues as quickly as possible to maintain a positive user experience.

Filter Optimization & Technical Implementation

• Regex Creation: Create, test, and deploy complex Regular Expressions (Regex) and logic rules to block policy-violating content or allow safe phrases that were inadvertently caught.
• Trend Response: Monitor platform trends and work with the team to adjust filters in real-time to react to new abuse tactics, slang, or bypass methods.
• Engineering Collaboration: Partner closely with the Safety Engineering team to maintain filter health, implement long-term updates, and ensure the stability of the text filter stack.

Participate in Policy & Process Improvement

• Subject Matter Expert (SME): Act as the authority on Roblox Community Guidelines. Use your deep knowledge of policy to make difficult judgment calls on what text should be blocked or allowed.
• Process Operations: Create, document, and optimize workflows to intake and resolve Text Filter escalations from all sources (developers, users, and internal stakeholders).
• Feedback Loop: Analyze support ticket data to identify systemic issues with the filter and propose long-term product improvements.

You have

• 4+ years of experience in Product Support, Trust & Safety, Content Moderation, or a similar operational role within a UGC (User Generated Content) or gaming platform.
• Proficiency in Regular Expressions (Regex) is required. You should be comfortable writing and debugging patterns.
• Excellent written communication skills with the ability to explain complex filtering logic to non-technical users and stakeholders.
• Strong critical thinking skills and the ability to interpret nuance in language, slang, and cultural context to apply safety policies correctly.
• Ability to work in a fast-paced environment where trends change daily; you are comfortable pivoting priorities to address urgent safety concerns.
• Experience in SQL or data analysis tools.
• Fluency in a second language (to assist with international text filtering).
• Previous experience working with developer communities or creator ecosystems.
• Familiarity with JIRA, Zendesk, or similar ticketing and project management tools.

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

Position Summary

Arcesium seeks an experienced Data Scientist professional to join our Business Operations team within the Client and Partner Development (CPD) organization. The ideal candidate will be comfortable working across large volumes of varied datasets spanning pricing, headcount, market research, commercial performance, and translating that data into the models, frameworks, and insights that drive decision-making. Beyond building models and reporting on data, this person will be expected to draw principled conclusions from their analysis and present clear, strategic recommendations to senior leadership. You will also play an active role in identifying AI-driven solutions that improve how the team works and be a part of AI strategy for CPD. You will collaborate closely with global CPD teams across Sales & Partnership, Revenue Operations, Marketing, Forward Deployed, Account Management and Client Success, Service and Solutions teams to execute complex projects and help the organization scale through data-backed governance.

What you'll do:

• Identify relevant data sources and work with CPD stakeholders across functions to collect, analyze, and interpret large structured and unstructured datasets spanning domains such as pricing, headcount, market research, and operational metrics.
• Devise and apply algorithms and models to extract insight from large data stores. Conduct data and error analysis to improve model performance, and clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns with clear objectives in mind. Interpret outputs and draw principled conclusions rather than stopping at the analysis itself, ensuring findings inform real decisions.
• Implement analytical models and reporting frameworks end to end, from data ingestion through to leadership-ready outputs.
• Conduct what-if and scenario analyses and translate outputs into clear narratives that are actionable at the senior leadership level.
• Design and develop automation scripts and data pipelines to synthesize and structure data from diverse sources, applying critical thinking to move toward zero-touch processes and maximize end-to-end efficiency.
• Produce KPI dashboards and performance reports using historical data to surface trends and productivity insights for executive audiences, with a focus on telling the story behind the data.
• Act as the primary internal champion for responsible, practical AI use within CPD, educating stakeholders, setting best practices, and ensuring solutions are sustainable and governed.
• Develop reusable AI frameworks, prompt libraries, and automation components that scale adoption across the CPD organization and serve as a foundation for future capabilities.

What you'll need:

• Strong verbal and written communication skills, with the ability to present analytical findings clearly to senior leadership and stakeholders across functions.
• 4 to 7 years of experience in a data analytics or business operations role. Prior experience at a financial technology firm is a plus.
• Advanced proficiency in Excel including complex formulas and VBA Macro programming. Strong Excel fundamentals are a core expectation of this role.
• Proficiency in Python or similar scripting languages for data transformation, automation, and analysis.
• Working knowledge of SQL for querying and managing structured datasets.
• Experience with data visualization tools, particularly Power BI, to build dashboards and reports for executive and operational audiences.
• Experience with data mining and statistical analysis, including segmentation techniques and statistical packages for working with large datasets.
• Proven ability to conduct what-if and scenario analysis and communicate implications clearly to non-technical senior stakeholders.
• Experience tracking KPIs and relevant metrics for revenue organizations, aligned with broader organizational performance indicators.
• Demonstrated hands-on experience building AI-powered workflows, automation pipelines, or LLM-assisted tools in a business context.
• Genuine intellectual curiosity about AI and a track record of applying it to real operational problems.
• Ability to balance medium to long-term analytical projects alongside day-to-day operational responsibilities.

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

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

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.

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 and 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:

https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nanonets-automation/?sh=6d79ec8f3ca1

https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/

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.

Role Overview:

We are seeking a Product Generalist to take ownership of key metrics, reporting, and experimentation within Nanonets. Working directly with our founders, this role involves goal setting, tracking, and prioritizing features based on metrics-driven insights. As a Product Analyst, you’ll be critical to helping teams set data-informed goals, clarifying the key metrics that drive success, and enabling a hypothesis-driven approach to product development.

Key Responsibilities

• Metrics Ownership: Manage and report on company metrics, setting measurable goals and tracking progress against them.
• Outcome Definition: Help teams define data-backed goals and establish measurable outcomes, ensuring efforts align with strategic company objectives.
• Input Metrics Clarity: Identify and communicate the key levers that drive output metrics, providing teams with actionable insights.
• Hypothesis-Driven Development: Build systems that support hypothesis testing through product features, creating, running, and measuring A/B tests and experiments to validate customer behavior hypotheses.
• Product Development Optimization: Partner with product teams to establish high-quality goals, focus on the most impactful metrics, and support agile development based on data-driven decision-making.

What We’re Looking For

Education:

• Bachelor’s degree preferable from a Tier 1 college.
• 2-4 years of relevant experience, such as Data Analyst or Product Analyst, ideally within a B2B SaaS company.

Technical Skills:

• Proficiency in SQL (required).
• Strong analytical skills and understanding of key product metrics.
• Willingness to learn Python and enhance data engineering skills.
• Robust product sense, with the ability to interpret and act on data for feature prioritization.

Mindset: Curious, experiment-driven, and eager to tackle complex product challenges through data. Comfortable scrapping or iterating on underperforming features based on data.

Why Join Us?

• Innovative Culture: Be part of a forward-thinking company at the forefront of AI and ML innovation.
• Growth Opportunities: Nanonets offers ample growth opportunities, allowing you to make a tangible impact in the product features
• Flexible Work Arrangements: Enjoy a flexible hybrid work model with in-office time every quarter.

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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. 

We are looking for an exceptionally talented Trade and Regulatory Compliance Product Lead to join the Product Management Group in our Hyderabad & Bangalore office. This group is responsible for working with technology teams throughout the process lifecycle to specify, develop, and implement the firms’ infrastructure and new middle-and-back-office applications.

This position offers exciting opportunities to bridge product management and client relationship management; and to collaborate with some of the brightest minds in the industry.

What you’ll do:

• Own Product Vision & Roadmap: Drive the strategic vision for a global share disclosure reporting product, owning the complete lifecycle from requirements through execution. Create and maintain a prioritized backlog incorporating ROI analysis and product effectiveness, while ensuring alignment with strategic goals.
• Define Regulatory Workflows: Design end-to-end workflows for regulatory disclosure filings across multiple jurisdictions (US SEC, UK FCA, EU ESMA, etc.).
• Translate Specifications into Product: Work closely with engineering teams to translate product specifications into design and implementation while maintaining clear communication on project plans, release notes, and comprehensive product documentation.
• Execute Hands-On Technical Work: Actively engage with APIs (RESTful, GraphQL) for data integration, perform complex data manipulation using SQL and Python, and build interactive dashboards using Google Looker. Prototype features, validate calculations and data accuracy, and troubleshoot issues for filing integrity.
• Manage Stakeholder Communication & Feedback: Communicate effectively with all stakeholders including clients, operations teams, and compliance officers. Conduct product demos and training sessions, gather and synthesize feedback to drive continuous improvement.
• Monitor Market & Regulatory Landscape: Stay on top of the dynamically evolving business environment by tracking regulatory technology (RegTech) trends, conduct competitive analysis and identify differentiation opportunities to maintain market leadership.

What you’ll need:

• 3-5 years of experience in investment management domain or developing/managing software technology products, with demonstrated expertise in data products or SaaS platforms in financial services, preferably in regulatory reporting or post-trade operations.
• Regulatory Domain Expertise: Deep understanding of global share disclosure regulations including Form 13F, 13G/D, Schedule 13D, UK Takeover Code (Rule 8), EU Short Selling Regulation (SSR), and other regimes.
• API & Data Integration Proficiency: Hands-on proficiency with APIs including experience consuming, testing, and integrating RESTful APIs including the ability to read and understand technical documentation, data schemas, and API specifications to orchestrate complex data workflows.
• Data Manipulation & Analysis Skills: Strong proficiency in SQL and at least one scripting language (Python) for data transformation and analysis.
• Data Visualization & Business Intelligence: Demonstrated expertise building dashboards and reports using Google Looker or similar tools.
• Excellent critical thinking skills with the ability to articulate viewpoints and influence stakeholders effectively.
• A distinguished academic background and a strong passion for working in a high-tech software development environment.
• Proven ability to manage multiple deliverables concurrently.

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

Responsibilities:
• Stakeholder management & requirements gathering on various implementation projects related 
to performance attribution, work as a primary SME.
• Conduct comprehensive discovery sessions with stakeholders to understand investment 
strategies, measurement needs, attribution requirements, and reporting workflows.
• Play key role in defining success criteria for the end-to-end implementation related to 
performance attribution solutions.
• Contribute to documenting detailed business requirements for performance calculations, 
attribution models, and reporting frameworks.
• Ensure all performance reporting adheres to industry standards and regulatory requirements, 
such as the Global Investment Performance Standards (GIPS)
• Translate complex requirements into actionable specifications for implementation teams.
• Work closely with Arcesium product management and engineering to ensure platform 
compatibility and data flow.
• Develop user documentation, process guides, and best practice materials.

Requirements:
• 6-12 years of experience in investment performance measurement, attribution analysis, or 
related buy-side operations roles
• Deep expertise in performance calculation methodologies (TWR, MWR, IRR, GIPS standards) and 
attribution frameworks (Brinson, factor-based, holdings-based, etc.)
• Proven track record implementing performance measurement systems or working as a 
performance analyst at sophisticated institutional investors.
• Strong understanding of investment strategies across asset classes (equities, fixed income, 
alternatives, multi-asset)
• Excellent analytical and critical thinking skills with meticulous attention to detail and accuracy
• Bachelor’s degree in finance, Economics, Mathematics, Computer Science, or related field. CFA 
or CIPM will be highly desirable.
• Since Arcesium uses StatPro integration, Experience with StatPro or similar performance 
attribution platforms (e.g., FactSet, MSCI) as a plus.
• Familiarity with regulatory and compliance requirements (GIPS, SEC, ILPA, etc.)
• Experience with SQL, Python, or other data analysis and automation tools
• Experience managing large-scale technology implementations or transformation projects.
• Strong analytical skills, critical thinking skills, and attention to detail along with strong 
interpersonal skills with a collaborative attitude
• Ability & willingness to work under pressure and take on additional operational tasks and meet 
tight timelines.

Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, 
gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual 
orientation, marital status, disability, or any other category protected by law. Note that for us, this is more 
than just a legal boilerplate. We are genuinely committed to these principles, which form an important 
part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having 
a wide range of backgrounds and personal characteristics

Arcesium seeks an experienced Solution Architect to join our Client and Partner Development team as a Forward Deployed Solution Architect. As a Forward Deployed Solution Architect, you will bridge the gap between Arcesium platform and clients' business requirements. You will show the customer value quickly and turn insights into scalable and repeatable long-term solutions. Forward Deployed Solution Architects work directly with Arcesium customer stakeholders and Arcesium product teams to solve sophisticated data problems in the investment management businesses.

What You'll Do:

• Guide customer top stakeholders (CTO, CDO) on the best ways to accelerate customer data strategy through Arcesium
• Decompose customer problem into component parts, design scalable solution using platform capabilities as building blocks
• Present solutions to customers verbally as well as written proposals, rich materials and illustrations
• Work with prospective clients to define the scope and success criteria of PoC projects
• Lead various projects including Proof of Concepts, Implementations and beyond
• Manage stakeholder expectations, highlights project risks and mitigations, and lead governance meetings
• Collaborate with Forward Deployed Software Engineers, Forward Deployed Data Strategists and Product teams for project success 
• Think critically to suggest improvements to the process, which may reduce costs, drive product innovation and result in increased sales conversion
• Closely work with client developers getting them up to speed on Arcesium’s technical/data architecture, platform overview, hands-on API training, data flow (ingress/egress) across applications
• Present and discuss Arcesium's Technology capabilities in Sales conversations, demos etc.

 What You'll Need:

• 8 to 10 years of experience in client facing roles requiring a high degree on consultative and solutioning skills (e.g., client solutions, professional services and implementations, etc.), providing technical solutions and building and driving software development
• Software engineering background, with prior hands-on coding experience (preferred languages: Python, Java, writing medium/complex SQL queries)
• Strong technology acumen, knowledge of engineering process, design knowledge, and architecture intelligence
• Skills cutting across technology and financial domain
• Ability to drive cross-functional medium & large-scale projects, across business and technology domains; stakeholder management across levels is required
• Strong interpersonal skills and experience building strong internal and external relationships
• Strong communication skills, including the ability to be influential and persuasive with stakeholders
• Familiarity with cutting edge cloud solutions and data analysis techniques 

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

Role Summary

We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.

You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.

Key Responsibilities

1  Technical Vision & Architecture

• Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
• Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
• Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
• Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
• Own the technical roadmap for AI tooling, developer productivity, and model integration layers.

2  Cross-Squad Technical Leadership

• Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
• Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
• Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
• Run cross-team design reviews, architecture syncs, and engineering guild sessions.

3  AI-Augmented Engineering Excellence

• Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
• Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
• Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
• Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.

4  Hands-On Engineering

• Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
• Personally drive resolution of the most complex production incidents and root-cause analyses.
• Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
• Own observability and reliability for AI inference and MLOps integration layers in production.

5  Mentoring & Talent Development

• Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
• Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
• Contribute to onboarding frameworks that embed AI-first practices from day one.
• Model a culture of rigorous experimentation, psychological safety, and continuous improvement.

6  Stakeholder & Product Collaboration

• Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
• Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
• Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.

Required Qualifications

1  Education

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.

2  Experience

• 6 – 8 years of professional software engineering experience in product-focused environments.
• Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
• Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
• Proven track record of shipping production systems with measurable business impact at scale.
• Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

3  Technical Skills — Core Engineering

• Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
• Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
• Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.

4  AI / ML Integration Skills (Mandatory)

• Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
• Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
• Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
• Ability to define and enforce AI code quality standards across an engineering team.
• Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.

5  Technical Skills — Nice to Have

• Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
• Contributions to open-source ML or developer tooling projects.
• Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
• Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.

Behavioural Competencies

• AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
• Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
• Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
• Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
• Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
• Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
• Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
• Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in India

As an Implementation Intern on the Professional Services Team in our Gurgaon Office, you’ll play a vital role in delivering seamless publisher implementations and ensuring high-quality service for global clients.
You’ll translate technical knowledge into real-world impact by supporting end-to-end implementation processes and maintaining delivery timelines.
You’ll collaborate across teams to troubleshoot, optimize, and improve implementation workflows.
You’ll help drive efficiency, accuracy, and client satisfaction through hands-on technical execution.

To thrive in this role, you'll need:

• Recently completed BCA / B.Sc. in Computer Science, IT, or a related field
• Working knowledge of HTML, CSS, and basic understanding of JavaScript, APIs, and SQL
• Familiarity with browser developer tools and SEO fundamentals
• Ability to commit to a 6-month internship and work from the Gurgaon office in rotational shifts
• Strong learning agility with the ability to quickly grasp new technologies

Bonus points if you have:

• Hands-on experience with debugging or QA processes in web environments
• Exposure to implementation or client-facing technical support roles

How you’ll make an impact:

• Execute implementation requests from business teams while meeting defined timelines
• Deliver high-quality outputs aligned with client requirements and service standards
• Perform QA checks, identify issues, and resolve them through technical debugging
• Troubleshoot technical problems and escalate when necessary
• Collaborate with cross-functional teams to enhance knowledge and execution quality
• Take ownership of assigned tasks and continuously improve based on feedback

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”

Well-being: Competitive benefits package tailored to support your health and well-being
Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired
Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-ST1

#LI-Hybrid

About Turing:

Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior , multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.

About the role: 

Turing is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing Intelligence delivery organization and part of  a GenAI project. You will be required to lead a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems and LLM deployments for major enterprises. 

Required skills:

• 12+ years of professional experience in software engineers and building applications/systems
• 2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly multi-agent systems. 
• Expert proficiency in programming skills in Python, Langgraph and SQL is a must.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Expert proficiency in using AI tools like claude code, codex, cursor, windsurf and the likes. 
• Expert proficiency in AI observability & evaluation tools like Langsmith, Langfuse or similar
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities:

• Solutioning & Lead
• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Hands-on skills
• Develop LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures.
• Build and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runs
• Codebase ownership: Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Roles & Responsibilities:

• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Required skills:

• 8+ years of professional experience in building Machine Learning models & systems
• 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
• Experience in driving the engineering team toward a technical roadmap.
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Understanding of Cloud services, including Azure, GCP, or AWS
• Excellent communication skills to effectively collaborate with business SMEs

Job Purpose

The People Analytics & Workforce Intelligence Lead plays a critical role in building an integrated, insight‑driven workforce analytics capability that enables effective execution of People and Workforce Strategy.

This role shifts the organisation from fragmented, activity‑based reporting to coherent, decision‑relevant workforce intelligence, leveraging Oracle HCM data, dashboards, and AI‑enabled techniques. It ensures high‑quality, evidence‑based insights that support senior leaders in making informed decisions on workforce structure, capability, and cost.

By partnering with HR, Finance, Strategy, and Technology teams, the role drives standardisation, improves data confidence, and delivers forward‑looking workforce intelligence aligned to business priorities.

Key Roles and Responsibilities

1. Strategic Workforce Analytics & Insight

• Deliver integrated workforce and people analytics that enable evidence‑based decision‑making aligned to People and Workforce Strategy.
• Generate actionable insights across workforce structure, roles, capacity, productivity, skills, and costs, moving beyond descriptive reporting.
• Translate complex, multi‑source datasets into clear, executive‑ready narratives and recommendations.

2. Workforce Data Integration & Intelligence

• Integrate workforce data across HR systems, Finance, and other people data sources to create a single, aligned view of workforce intelligence.
• Align metrics, assumptions, and reporting standards across HR, Finance, and Strategy to drive shared understanding.
• Partner closely with Finance to connect workforce and cost analytics with financial planning and performance management.

3. Dashboarding & Reporting Transformation

• Design, build, and maintain integrated workforce analytics dashboards using tools such as Power BI, Tableau, or equivalent.
• Drive the shift toward dashboard‑led analytics, reducing fragmented, manual reporting.
• Ensure dashboards are intuitive, standardised, and tailored for senior leadership decision‑making with clear data definitions.
• Continuously measure and improve dashboard adoption, usability, and business impact.

4. Reporting Simplification & Optimisation

• Lead the rationalisation and simplification of workforce reporting, eliminating duplication and low‑value outputs.
• Replace activity‑based reporting with insight‑driven, decision‑focused analytics.
• Establish a scalable and efficient analytics framework across the People function.

5. Advanced Analytics, Automation & AI Enablement

• Apply AI‑enabled techniques and automation to enhance the speed, consistency, and quality of insight generation.
• Use advanced analytics to surface trends, patterns, and forward‑looking workforce intelligence, while ensuring practical and business‑aligned application.
• Support workforce initiatives and strategic programmes through structured, predictive insights.

6. Data Governance & Quality Stewardship

• Establish and maintain clear definitions, standards, and governance for workforce analytics (especially within Oracle HCM environments).
• Improve confidence in workforce data through transparency of methodologies, assumptions, and calculations.
• Act as a steward of high‑quality, decision‑ready workforce insight across the organisation.

7. Stakeholder Partnership

• Partner with senior HR leaders, Finance, and Strategy teams to support workforce strategy execution.
• Enable self‑service insights where appropriate while guiding stakeholders on data interpretation.
• Support key workforce planning and organisational initiatives through insight‑led collaboration.

Skills & Experience

• Demonstrated ability in data storytelling—translating complex datasets into clear, actionable, leadership‑ready insights.
• 7–10 years experience in People Analytics, Workforce Analytics, HR Analytics, or Business Intelligence roles, preferably in complex or matrixed environments.
• Knowledge of Oracle HCM data modules including OTBI, BI Publisher, and FDI.
• Proven experience in designing and delivering dashboard‑led workforce analytics solutions (Power BI, Tableau, or similar tools).
• Advanced analytical capability using Excel, SQL, and BI platforms.
• Demonstrated ability in data storytelling—translating complex datasets into clear, actionable, leadership‑ready insights.
• Experience leveraging automation and AI-enabled analytics techniques to enhance reporting and insight generation.
• Strong understanding of workforce concepts including capacity, productivity, performance, costs, roles, and skills.
• Ability to influence stakeholders and drive adoption of standardised, insight-driven analytics practices.

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.

Realize your potential by joining the leading performance-driven advertising company!

We are reimagining how HR operations work at Taboola, and we are looking for a curious, hands-on Business Analyst to help us get there. As an HR Business Process Analyst on the People Analytics team in our Gurgaon office, you will be at the core of our HR Shared Service Center (SSC) transformation: mapping and improving processes, deploying AI to reduce manual work, and helping the SSC evolve from a back-office transaction hub into a strategic, business-facing function. This is a great opportunity for someone early in their career who is excited about applying AI to real business problems and energized by the work of making things run better.

To thrive in this role, you'll need:

• 3 to 5 years of professional experience in business analysis, operations, process improvement, HR operations, or a similar function.
• Hands-on experience using Generative AI tools (ChatGPT, Gemini, Claude, Copilot, or similar) to solve business and operational problems.
• A track record of mapping, documenting, or improving business processes.
• A strong analytical mindset and comfort working with data in Excel or Google Sheets.
• Strong written and spoken communication skills in English, with the ability to translate operational needs into structured requirements.
• Familiarity with HR systems, processes, or service delivery models.

Bonus points if you have:

• Experience working with or inside a Shared Service Center.
• Hands-on experience with SAP SuccessFactors or another HRIS.
• Familiarity with workflow automation tools (Zapier, Make, n8n, Power Automate).
• Familiarity with data visualization tools (Tableau, Power BI, Looker).
• Basic SQL.
• Project management experience or certification.

How you'll make an impact:

• Support the transformation of the HR Shared Service Center by inventorying and documenting processes, identifying risks and gaps, and helping shape the operating model that lets the SSC scale.
• Identify high-volume, repeatable work where AI and automation can reduce manual effort, then help design, pilot, and deploy those solutions.
• Contribute to the rollout of AI-powered self-service tools for employees and managers, including knowledge bases and conversational agents.
• Help define and monitor SSC service KPIs, SLAs, and HR data quality metrics.
• Partner with HRBPs, IT, and global HR teams to understand pain points and turn them into concrete operational improvements.
• Run targeted analyses and build simple dashboards that surface what is working and what is not.
• Support the evolution of the SSC from back-office processing toward business-facing services that directly serve managers and leaders.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart and talented colleagues. They’ll also share more about:

• Well-being: Enjoy comprehensive benefits, including health coverage, fully stocked kitchen.
  
  
• Flexibility: We offer a hybrid work schedule – 3 days in the office with the option to come in more if you’d like.
  
  
• Work with the best: Partner with global brands like Yahoo, NBCU, Conde Nast, and Wells Fargo.
  
  
• Unmatched culture: As our CEO Adam Singolda says: “You can copy anything from another business but you can’t copy a company’s culture.”
  
  

Ready to realize your potential?

Taboola is an equal opportunity employer and values diversity in all its forms. We are committed to creating an inclusive environment for all employees and believe this is critical for success. Employment decisions are based on qualifications, merit, and business needs.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X (Twitter), YouTube, and the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-ST1

#LI-Hybrid

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 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

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

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.

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

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.

Anaplan is seeking a talented and motivated Analytics Engineer to join our growing team. In this role, you will be responsible for the end-to-end delivery of analytics solutions, from gathering user requirements to testing and production support. You will work closely with stakeholders to understand their needs and transform data into actionable insights.

Responsibilities

• Design, develop, and maintain scalable and robust analytics solutions.
• Gather and document user requirements for analytics and reporting.
• Develop and manage BI dashboards and reports using tools like Tableau.
• Conduct testing and provide production support for analytics solutions.
• Collaborate with data engineers and other teams to ensure data quality and availability.

Qualifications

• Proven experience as an Analytics Engineer or in a similar role.
• Strong proficiency in BI tools such as Tableau, Power BI, or similar.
• Experience with the end-to-end lifecycle of analytics projects.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Exposure to Google Cloud Platform (GCP) and BigQuery.
• Experience in developing and maintaining data models.
• Knowledge of SQL and data warehousing concepts.
• Experience with Anaplan or other EPM (Enterprise Performance Management) tools.

Anaplan is seeking a talented and motivated Analytics Engineer to join our growing team. In this role, you will be responsible for the end-to-end delivery of analytics solutions, from gathering user requirements to testing and production support. You will work closely with stakeholders to understand their needs and transform data into actionable insights.

Responsibilities

• Design, develop, and maintain scalable and robust analytics solutions.
• Gather and document user requirements for analytics and reporting.
• Develop and manage BI dashboards and reports using tools like Tableau.
• Conduct testing and provide production support for analytics solutions.
• Collaborate with data engineers and other teams to ensure data quality and availability.

Qualifications

• Proven experience as an Analytics Engineer or in a similar role.
• Strong proficiency in BI tools such as Tableau, Power BI, or similar.
• Experience with the end-to-end lifecycle of analytics projects.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Exposure to Google Cloud Platform (GCP) and BigQuery.
• Experience in developing and maintaining data models.
• Knowledge of SQL and data warehousing concepts.
• Experience with Anaplan or other EPM (Enterprise Performance Management) tools.

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:
  1. Collaborate with global, cross-functional teams to design, build, and operate innovative platforms ensuring quality across the SDLC.
  2. Analyze complex functional and non-functional requirements (FR/NFR) and define comprehensive test strategies, plans, and objectives.
  3. Develop and maintain manual and automated test cases for web, API, and backend systems using tools like Selenium and Playwright.
  4. Perform end-to-end testing including Functional, Regression, Integration, System, UAT, and ensure data validation across SQL/Snowflake databases and stored procedures.
  5. Implement automation frameworks and integrate tests into CI/CD pipelines to improve efficiency and coverage
  6. Conduct API testing and performance/load testing using JMeter, analyzing results to optimize system scalability and stability.
  7. Test applications deployed on AWS/Azure environments, validating compatibility, scalability, and security in cloud-based architectures.
  8. Identify, document, and track defects using tools like Azure DevOps, and collaborate with development teams to resolve issues.
  9. Ensure compliance with QA standards, best practices, and security guidelines, maintaining clear documentation and reporting on test coverage and results.
  10. Mentor junior QA engineers, enforce best practices, and contribute to process improvements and test automation strategies.
  11. Troubleshoot complex system-level issues, drive root cause analysis, and recommend solutions for performance and reliability.
  12. Stay current with emerging QA tools, technologies, and methodologies, applying Agile principles to deliver continuous value and scalability.
  
  Job Requirements:
  1. Minimum 6–10 years of hands-on experience in Software Quality Assurance (QA) for enterprise-level applications.
  2. Strong proficiency in Selenium and Playwright for automated UI and functional testing.
  3. Ability to implement automated UI and API tests and integrate them into CI/CD pipelines.
  4. Deep experience in API testing using industry-standard tools and frameworks.
  5. Solid experience testing Angular and Aurelia applications
  6. Advanced knowledge of SQL, Snowflake, and stored procedures.
  7. Ability to validate data integrity and execute complex queries for backend testing.
  8. Hands-on experience testing applications deployed on AWS and Azure environments.
  9. Proficiency in JMeter for performance and load testing, including analysis and optimization.
  10. Ability to analyze complex functional and non-functional requirements (FR/NFR).
  11. Define comprehensive test strategies, develop and maintain test plans, test cases, and automation scripts.
  12. Expertise in Functional, Regression, Integration, System, and User Acceptance Testing (UAT).
  13. Strong ability to work closely with developers, product managers, and business analysts to ensure quality throughout the SDLC.
  14. Proven experience mentoring junior QA engineers and enforcing best practices.
  15. Familiarity with CI/CD tools, Agile methodologies, and QA best practices.
  16. Strong problem-solving and analytical skills with attention to detail.

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.

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

About Inizio

Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.

Role Summary:

Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.

Key Responsibilities:

• Develop and maintain ADF pipelines for data ingestion and transformation
• Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
• Process data across Raw → Staging → EDW layers
• Write and optimize SQL queries and stored procedures
• Implement incremental/delta loads and basic error handling
• Monitor and troubleshoot pipelines
• Work with Lakehouse concepts (Bronze/Silver/Gold)
• Support Python/PySpark-based transformations
• Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)

Required Skills:

• 2–4 years of Data Engineering experience
• Strong Azure Data Factory (ADF) experience
• Strong SQL (queries, stored procedures)
• Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
• Good understanding of incremental and delta data loading strategies
• Working knowledge of Python with PySpark for data transformations on Azure Databricks
• Understanding of Lakehouse architecture
• Familiarity with Microsoft Fabric (nice to have)
• Experience with metadata/config-driven pipeline frameworks (nice to have)

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

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 align with every qualification, we encourage you to apply anyway.

About Inizio

Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.

Role Summary:

Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.

Key Responsibilities:

• Develop and maintain ADF pipelines for data ingestion and transformation
• Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
• Process data across Raw → Staging → EDW layers
• Write and optimize SQL queries and stored procedures
• Implement incremental/delta loads and basic error handling
• Monitor and troubleshoot pipelines
• Work with Lakehouse concepts (Bronze/Silver/Gold)
• Support Python/PySpark-based transformations
• Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)

Required Skills:

• 2–4 years of Data Engineering experience
• Strong Azure Data Factory (ADF) experience
• Strong SQL (queries, stored procedures)
• Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
• Good understanding of incremental and delta data loading strategies
• Working knowledge of Python with PySpark for data transformations on Azure Databricks
• Understanding of Lakehouse architecture
• Knowledge of Power Bi. 
• Familiarity with Microsoft Fabric (nice to have)
• Experience with metadata/config-driven pipeline frameworks (nice to have)

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

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 align with every qualification, we encourage you to apply anyway.

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.

Key Responsibilities

Previous experience in developing and maintaining interactive and visually appealing dashboards using Tableau, Power BI, and Excel. 

Experience in handling healthcare data (Claims, Trials, RWE) is good to have. 

Proficiency in working with data visualization tools like Tableau and Power BI. The candidate should be able to create interactive and visually appealing dashboards, reports, and charts. 

Proficiency in Excel is important for data analysis, data manipulation, and creating Excel-based dashboards.

Strong knowledge of SQL (Structured Query Language) is essential for querying and manipulating data from relational databases.

Understanding of data modeling concepts to design efficient and effective data structures for reporting and Analysis 

Eagerness to learn and stay updated with the latest BI technologies, tools, and trends. 

Develop and maintain interactive and visually appealing dashboards using Tableau, Power BI, and Excel.

Collaborate with cross-functional teams to identify business requirements and translate them into data visualizations and reports. 

Extract, transform, and load (ETL) data from various sources to ensure accurate and consistent data for reporting. 

Optimize and fine-tune queries and data models for enhanced performance and efficiency.

Analyze and interpret data to identify trends, patterns, and opportunities for business improvement.

Educational Qualification 

Bachelors / Masters in computer science or related subjects from reputable institution 

Proven experience as a Business Intelligence Developer or similar role with 3-5 years of hands-on experience 

in creating reports and dashboards. 

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

We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. 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. 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 – helping healthcare leaders shape strategy and drive meaningful change. 

About the Role

We are seeking an experienced Data Science Manager to join our team at Inizio Ignite. The ideal candidate will bring deep machine learning expertise, strong GenAI and cloud competencies, and hands-on experience delivering analytical solutions that drive meaningful business impact for life sciences clients.

This leader will manage data scientists, oversee project delivery, partner with cross-functional teams, and shape the development of innovative AI/ML solutions.

What you'll be doing

Leadership & Delivery

• Lead and manage a team of data scientists, providing technical guidance, mentorship, and performance oversight.
• Own end-to-end delivery of data science and GenAI engagements for pharma/biotech clients.
• Translate business problems into analytical frameworks and ensure high-quality, timely project execution.
• Drive adoption of AI/ML capabilities across client engagements and internal initiatives.

Technical Responsibilities

• Architect, design, and review ML, statistical, and GenAI solutions, ensuring scalability, accuracy, and alignment with business objectives.
• Oversee the development, validation, and deployment of predictive models, NLP pipelines, and GenAI-based applications (e.g., summarization, insights automation, generative workflows).
• Lead cloud-based solution deployment (AWS, Azure, or GCP) including orchestration, MLOps best practices, and integration with enterprise systems.
• Ensure adherence to model governance, compliance, and responsible AI frameworks.

What you'll need

• Extensive experience in data science or advanced analytics roles, with at least 2–3 years in a leadership or managerial capacity.
• Ideally prior experience in pharmaceutical, biotech, or healthcare consulting is mandatory.
• Strong expertise in machine learning, NLP, deep learning, and GenAI (LLMs, prompt engineering, RAG, fine-tuning, embeddings).
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP; exposure to MLOps frameworks preferred.
• Proficiency in Python, SQL, and common DS/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).
• Proven experience managing teams, delivering client projects, and presenting to senior stakeholders.
• Good to have understanding of pharma datasets (claims, RWE, clinical, medical insights, social data) and key use cases.
• Experience building GenAI solutions in production environments

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

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 align with every qualification, we encourage you to apply anyway.

Position Summary 

As an Inizio Ignite Senior Analyst you will be a core member of client engagement teams, leading sophisticated analytics workstreams and owning the development of high-impact analytical deliverables. You will apply advanced analytical, coding, and modelling skills to solve complex business problems for life sciences clients, while contributing to methodological best practices across the data analytics team. 

A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making. 

In this role, you will work closely with case team leadership to design and execute analytics approaches, translate ambiguous business questions into structured analytical plans, and communicate insights clearly to both internal stakeholders and clients. 

Desired Skills and Experience 

The ideal candidate for the Senior Analyst position is a highly motivated, analytically rigorous individual with strong ownership mentality, excellent communication skills, and the ability to operate independently in a fast-paced consulting environment. 

• Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.)  

• Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree  

• Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such as marketing performance, sales effectiveness, patient journeys, and market dynamics 

• Strong foundation in statistical analysis and machine learning, including hypothesis testing, supervised and unsupervised learning, and model evaluation 

• Experience working with cloud-based data and analytics environments (e.g., AWS, Azure, Snowflake) 

• Proficiency in business intelligence, dashboarding, and data visualization using tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical results into clear, decision-ready insights 

• Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider, Rx, and payer data; sources such as Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), particularly in commercial and market-facing analytics contexts; familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is a plus 

• Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work under tight timelines 

• Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical audiences 

• Experience working effectively as part of hybrid teams across multiple geographies, demonstrating strong collaboration, adaptability, and comfort operating in a global consulting environment