Python Jobs in Gurugram.

Business Consulting India - Bengaluru India - Chennai India - Gurugram Posted May 8, 2026

Role Title: Automation & Solution Architect (GCB 4)

Function: Finance System Operations

Role Description:

Senior technical lead for Finance EUC automation scale-up. Accountable for end-to-end technical delivery across demand intake, requirements analysis, build & test, production deployment and RTB change management. Provides consultative input during opportunity scoping, ensuring solutions are feasible and aligned to IT-governed platforms (e.g., Alteryx/ADM) and established controls/guardrails. Leads technical documentation, testing evidence aligned to agreed closure criteria, and supports controlled releases. Partners with Finance Domain BA, POD Lead and platform support to ensure stable, supportable automation.

Skills / Knowledge / Experience:

Lead & Design automation for EUC (End User Computing) remediation, using AI workflow automation to reduce operational risk, improve control compliance, and accelerate remediation at scale.
Act as Solution Architect for the end-to-end remediation across Python & Alteryx / FRAME platform, aligning delivery to risk, control, and technology standards.
Knowledge of Finance process landscape & core systems
Identify and prioritize EUC remediation opportunities and translate them into an automation roadmap
Design and deliver AI-assisted remediation capabilities with prompt engineering
Build automation pipelines to streamline discovery, assessment, remediation tracking, and evidence generation.
Define human-in-the-loop operating model for AI outputs (review, approval, exception handling) to ensure accountable decision-making
Familiarity with Python, IT-managed automation platforms e.g., Alteryx
Experienced in managing end-to-end Testing lifecycle i.e., Unit Testing, SIT, UAT
Strong in Stakeholder management
Agile Scrum Master, SAFe, and Project Manager skills set are desirable

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Finance SME

Capco · India

Business Consulting India - Chennai India - Gurugram India - Hyderabad Posted May 8, 2026

Job Title: Finance SME

Role Description: The Finance SME (Manager) is responsible for accurate and timely processing of financial data as per defined Finance standard operating procedures, and regulatory expectations. The role supports one or more specialist areas in the Global Finance organization, partnering with in-country and global teams to strengthen the control environment and drive process, data and automation improvements. Skills / Knowledge / Experience: Essential Chartered Accountant / Postgraduate / MBA (Finance) with 2+ years’ experience, or B.Com / M.Com / CA Inter / CWA Inter / Engineering with 4+ years in Finance function or operations Experience in banking or financial services industry preferred Working knowledge of Client systems will be added advantage (e.g. FTP, HUB, REMIND, COGNOS, TREATS, SARACEN) Knowledge and experience in supporting one or more Finance sub-functional areas partnering with in country and global teams – Controllership & Financial Accounting Management Reporting / FP&A Regulatory / Liquidity / Financial Reporting Reporting Operations Product Control Global Treasury Entity or Line of Business Finance Strong Excel skills and experience handling high data volumes Meticulous attention to detail and strong analytical skills Excellent written and verbal communication; ability to explain complex matters simply Good to Have Experience with SOX, RCA documentation, SOP maintenance and Business Continuity testing will be an added advantage Automation & Data Analytics: Hands-on experience with one or more platforms such as Xceptor, Power Automate, Python, SQL, GitHub, Power BI, MS Access Ability to work independently and collaborate across borders and levels Experience engaging with external auditors and managing stakeholder expectations under tight timelines

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Consultant - Analytics COE

ClearView Healthcare Partners · Gurugram, India

Billable Team Gurugram Posted May 8, 2026

ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.

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.

What We Value

We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration.

Equal Opportunity Employer

ClearView Healthcare Partners ("CV") is an Equal Opportunity employer. All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

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Lead Solution Engineer - Corp Tech

Arcesium LLC · Bengaluru; Hyderabad

Technology Bengaluru Gurugram Hyderabad Posted May 8, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

We are looking for a Solutions Engineer – Lead Engineer to join our Corporate Technology team. As a Solutions Engineer, you will be expected to leverage your extensive experience and technical expertise to design, implement, and optimize Windows-based solutions in enterprise environments.

What You'll Do:

Architectural Design: Lead the design and development of complex solutions, ensuring alignment with business objectives and architectural principles.
AI observability for platforms and assistants. Instrument agents and automations with metrics for accuracy, drift, latency, containment, and user satisfaction; wire dashboards (Grafana/ELK) and feedback loops into CI/CD so models and prompts improve continuously—consistent with the JD’s observability focus
Technical Leadership: Provide guidance and mentorship to engineering teams in the implementation of Windows-based solutions, ensuring best practices and adherence to industry standards.
Solution Development: Collaborate with cross-functional teams to translate business requirements into scalable and secure Windows architectures, integrating with existing systems and technologies.
Technology Evaluation: Research and evaluate emerging technologies and tools, recommending innovative solutions to enhance system performance, reliability, and security.
Risk Management: Identify and mitigate risks associated with Windows-based solutions, ensuring compliance with regulatory requirements and security standards.
Troubleshooting and Optimization: Investigate and resolve complex technical issues related to Windows infrastructure, optimizing performance, and minimizing downtime.
Automation and DevOps: Knowledge of Gitops, Scripting and automation would be an essential part of the role. Knowledge of writing automations in either PowerShell/Python would be a mandatory requirement for this role.

What You’ll Need:

6+ years architecting and implementing enterprise infrastructure solutions with a proven track record of designing scalable, resilient, and secure systems including integration with Windows and cloud platforms.
Expertise in Windows Server, Active Directory, Microsoft Azure/AWS virtualization (EC2, Azure VMs, Azure Virtual Desktop), and Microsoft Defender. Knowledge of macOS integration with enterprise identity platforms (Active Directory, Azure AD, Okta), including single sign-on (SSO) and federated authentication. Ability to design and optimize multi-platform architectures (Windows, macOS, Linux) for scalability, resilience, and security.
Proficiency with Microsoft Intune for endpoint management (MDM/MAM) and understanding of hybrid architecture and cloud shared responsibility model. Proficiency in macOS device management using tools such as Jamf Pro, Kandji, or Apple Business Manager, including MDM/MAM strategies for hybrid and multi-platform environments. Experience with automation and scripting on macOS (e.g., Bash, Zsh, AppleScript, Python), enabling workflow optimization and cross-platform orchestration
Strong troubleshooting skills for macOS infrastructure, including performance optimization, incident response, and root cause analysis.
PowerShell and Python coding/scripting capabilities for automation and workflow development
Experience with GitOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, ARM templates)
Proficiency in cloud-native and multi-cloud architectures (Kubernetes, Docker, serverless)
Familiarity with observability and monitoring platforms (Prometheus, Grafana, ELK stack) and AI-driven automation
Familiarity with Exchange Online, SharePoint, Microsoft Power Platform would be a plus
Experience implementing zero trust solutions (Zscaler, CrowdStrike) would be a plus
Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, MCSE: Core Infrastructure, or AWS Solutions Architect would be a plus
Good to have exposure with AI/ML integration, data analytics, and automation in enterprise environments.

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

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

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Senior Consultant - Margin Calculator Group

Arcesium LLC · Bengaluru; Gurugram; Hyderabad

Technology Bengaluru Gurugram Hyderabad Posted May 8, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

Arcesium seeks a highly motivated Treasury Margin Specialist to join our Technology team in Hyderabad / Bengaluru / Gurugram. The candidate will also cover initial stage client calls as an SME to explain Arcesium margin capabilities clearly and help Arcesium win new business with markets fund managers. The candidate should be willing to work in a dynamic and challenging environment of new client implementations into Arcesium platform and other special
projects.

What You'll Do:

• Understanding the various margining methodologies cross asset and cross agreements and developing the internal view of margin.
• Develop portfolio financing margin models in Arcesium’s infrastructure.
• Managing stakeholders’ expectations; being proactive in identifying their needs, articulating the scope of the offering, escalating issues in a timely manner, and showcasing persuasiveness in bringing about changes
• Learn and enhance knowledge on complete Arcesium platform/industry, not restricted to current area of expertise.
• Perform various activities like data gathering, GAP analysis, Mapping, Data transformation, Loading and reconciliation, BAU activities setup, Client parallel support etc.… in Arcesium platform as a part of client implementation.
• Work with technology teams as needed, by assisting in special projects, developing bespoke reports, developing specifications, product implementation and UAT.

What You’ll need:

• 2 to 5 years of experience working in the Treasury (portfolio financing or counterparty credit risk in specific) coupled with in-depth domain / finance knowledge.
• Collateral management and financing agreements as well as margin methodologies
• Experience in market or counterparty credit risk to be able to analyze risk drivers of any securities portfolio.
• An understanding of data sources such as Reuters, Bloomberg, Markit etc, for Treasury related attributes
• Strong analytical skills, problem-solving skills, and attention to detail
• Proven track-record of handling projects and improving processes.
• Strong interpersonal skills with a collaborative attitude
• Effective oral/written communications skills
• Ability to work under pressure and take on additional operational tasks.
• Proficient in Microsoft Office applications especially MS Excel
• Hands on experience with VBA macros / Python will be a big plus.

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

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

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Manager, Software Engineering - AI

Anaplan · Gurugram, India

Engineering Gurugram - Office Posted May 8, 2026

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

Key Responsibilities

Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.

Required Qualifications

Strong understanding or experience leading AI/ML teams in a SaaS or enterprise software environment.
Deep expertise in time series forecasting and machine learning.
Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
Experience with agentic frameworks and autonomous agent architectures.
Proficiency in Python and modern software development practices (testing, code review, CI/CD).
Proven track record of delivering complex technical projects on time with high quality.
Excellent communication, collaboration, and stakeholder management skills.
Track record of delivering impactful AI solutions in a fast-paced, agile environment.

Preferred Qualifications

Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
Experience with large-scale data processing frameworks like Spark.
Familiarity with the challenges of applying AI in enterprise planning or financial domains.
A portfolio of published research or contributions to open-source AI projects.

What Makes This Role Exciting

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer 

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not: 

Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  

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Python Developer (Remote)

Monks · Gurugram

Core Engineering (Tech) India Posted May 7, 2026

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

We are looking for a Senior Software Developer with strong experience in Python and Vue.js to join our growing team. The ideal candidate will be responsible for building robust backend services, intuitive front-end interfaces, and scalable cloud-based systems. You’ll collaborate closely with cross-functional teams to deliver secure, high-performance solutions for our financial technology ecosystem.

Location - India (Remote)
Shift : 6pm to 3am (5 days)

Key Responsibilities

Develop and maintain high-quality backend services using Python.
Build and optimize production-grade applications with Vue.js and modern front-end technologies.
Design and implement clean, consistent APIs for internal and external use.
Develop and maintain multi-broker integrations with trading platforms for order management and trade execution.
Design and manage secure, scalable ETL pipelines to process financial data from custodian platforms.
Build and maintain microservices on Kubernetes, ensuring scalability, reliability, and performance.
Work with AWS services (Lambda, ECS, S3, DynamoDB, SQS, API Gateway, IAM) to deliver cloud-native solutions.
Use Infrastructure as Code tools (AWS CDK or similar) for deployment and automation.
Collaborate with teams to ensure clean architecture, testing, and code quality.

Required Skills & Qualifications

5+ years of hands-on experience in Python development.
Strong experience in Vue.js and front-end development.
Solid understanding of HTML5, CSS3 (Flexbox/Grid), JavaScript (ES6+), and TypeScript.
Experience building ETL pipelines (batch and/or real-time) and handling data processing at scale.
Practical experience with microservices architecture and Kubernetes.
Working knowledge of AWS cloud services and Infrastructure as Code (Lambda, ECS, S3, DynamoDB, SQS, API Gateway, IAM)
Strong problem-solving skills with attention to scalability, security, and performance.
Fluent in English (written and spoken), with clear communication and documentation skills.

Why Join Us?

Work on impactful products at the intersection of technology and finance.
Collaborative, high-performance culture that values ownership and innovation.
Competitive compensation and growth opportunities within a global setup.

#LI-PP1
#LI-Remote

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

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Senior Network Engineer

Monks · Gurugram

CORPORATE - IT & IO (ISO Global) India Posted May 7, 2026

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

In the Network Engineer role you’ll manage all networking activities (Internet, LAN, dynamic routing, VPNs, Firewalls, Wi-Fi etc.) for all Monks sites around the globe, with main focus in the APAC region. You will do this as part of a global team and identify yourself with ‘a flexible go-getter who jumps on new opportunities to improve efficiency, accuracy and productivity’.

Key responsibilities:

You’ll manage all networking activities (Internet, LAN, dynamic routing, VPNs, Firewalls, Wi-Fi etc.) for all Monks sites around the globe
As a Monk in our India Monastery , you’ll be in charge of the administration of network assets
You’ll handle the preparation and deployment of network changes
You’ll automate the operational and maintenance work as much as possible
You’ll monitor, analyze, and report metrics of network services

Requirements:

Relevant certifications on network and firewall technology and solutions with a high preference for Fortinet NSE 4, 5, 6, 7 etc.
Hands-on experience with different Fortinet products, including FortiGates, FortiSwitches, FortiAPs, FortiAnalyzer, FortiManager
Hands-on experience with wireless networks including Aruba Wireless, FortiAPs, UniFi , Extreme
Hands-on experience with Juniper Routers and Switches
Hands-on experience with fiber optic networks of various speeds
Deep knowledge on DNS, DHCP, Routing/Switching and Routed Protocols (OSPF, BGP)
Epic network troubleshooting skills
Excellent documentation skills
Experience with network monitoring tools (Zabbix & LibreNMS preferable)
You’re Fluent in English, both spoken and written.
Ability to learn quickly and share knowledge
Strong social skills
Excellent interpersonal skills
Outstanding time management skills
Intrinsic curiosity
Self-motivation
Attention to detail
A balanced approach to stressful situations

Pluses:

Intermediate Linux experience. Know why things work on a Linux system -- not

just how to configure them

Knowledge on Windows operating systems including Active Directory, Certificate

Authority, NPS etc.

Experience with virtualization
Write scripts in some administrative language (Python preferable)

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

Ready to apply?

Apply to Monks

Monks

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Software Engineer 3

MongoDB · Gurugram

Magenta Gurugram Posted May 7, 2026

We are seeking a Software Engineer to join our growing Gurugram Products & Technology team to develop and expand core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.

As a Software Engineer on this new team, you will be responsible for developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

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

Position Expectations

Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to implement the first version and future evolution of the service
Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

Strong background in building core components for high scale compute and data distributed systems
3+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
Good verbal and written technical communication skills, desire to collaborate with colleagues
Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
Eager to learn, with a strong technical background

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.

Requisition ID

426117

Ready to apply?

MongoDB

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Senior Director, Engineering

MongoDB · Gurugram

Magenta Gurugram Posted May 7, 2026

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

We are seeking a Senior Director, Engineering to join our growing Gurugram Product & Technology team where you will drive the technical vision, execution, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.

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

Position Expectations

Lead and Manage the Engineering Team – Oversee engineering efforts to design, develop, and scale the new product, ensuring high performance, reliability, and efficiency
Recruit and Build a High-Performance Team – Attract, hire, and mentor top-tier engineering talent, fostering a culture of innovation, collaboration, and technical excellence
Define Product and Engineering Strategy – Collaborate with product, research, and engineering leaders to define the long-term vision, roadmap, and architecture of the new platform
Ensure Operational Excellence – Drive best practices for monitoring, reliability, and performance in production
Lead Architecture: Own the architectural vision for the platform, working with Senior engineers on the team, ensuring it runs equally well on public clouds, private cloud environments and on-premise

Cross-functional leadership - Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvementsRemove roadblocks - Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being

Qualifications

15+ years of engineering leadership experience, including managing multiple teams and scaling large, distributed systems
Proven experience building and maintaining high scale serving platforms in production
Deep expertise in distributed systems, large-scale data processing, and systems infrastructure
Experience working with cloud-native architectures and platforms like AWS, GCP, Azure, and Kubernetes
Excellent leadership, strategic thinking, and ability to influence cross-functional stakeholders
Strong technical background in Python, C++, Java, or Go. Experience with AI and Machine Learning frameworks and SDKs is a plus
Experience in hiring, mentoring, and scaling world-class engineering teams

Success Measures

In the first month, you’ll have understood the surface area, the high level architecture of the new platform. You’ll have initiated one-on-ones with your team members
By the second month, you will be deeply embedded in the recruiting and hiring process for growing the Product and Technology team in India and begun filtering resumes and interviewing candidates
In three months, you’ll have fully on-boarded onto the team and contributed to the design of a core platform capability
In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members Additionally, you’ll have contributed to the vision for the future of the platform and helped develop a plan to achieve that vision

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 - 1273397064

Ready to apply?

MongoDB

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Senior Engineer - Business Systems (Integrations)

MongoDB · Gurugram

GTM Tech Gurugram Posted May 7, 2026

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

About the Role

We are looking for a Senior Workato Integration Engineer to join our GTMTech team. This critical role involves developing, deploying, and supporting GTMTech’s integrations, which are essential for core business operations.

The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI.

Key Responsibilities

Automate, develop, and support integrations across various business systems, platforms, and tools
Work closely with different business units and technical teams to gather requirements and design solutions
Use your integration expertise to create scalable solutions and operationalize integrations.
Implement and promote integration best practices
Participate in on-call support rotation
Champion and role model MongoDB’s culture principles—Think Big, Make it Happen, Build Together, and Be Intellectually Honest—as we scale globally and grow our presence in new regions and offices

Qualifications

Bachelor's or Masters in Computer Science, Engineering or related field with 5+ years of enterprise integration experience
At least 3 years of experience in integration development using platforms such as Workato, Mulesoft, Boomi, etc
Deep understanding of enterprise integration design patterns, messaging, and event-driven architectures and Workato concepts like callable recipes, event streams, task optimization etc
Proficient with various Workato connectors (but not limited to) like Salesforce, Netsuite, HRIS and Google AppSuite along with expertise in Python/Ruby scripting skills
Strong development experience implementing Workato at scale - including automation, observability/monitoring, debugging skills in complex environments with multiple connected systems, implementing and managing devops process adhering to compliance, audit and our internal CI/CD processes
Hands-on experience in implementing secure and scalable REST APIs, implementing Workato MCP and agentic workflows
Strong problem solving and debugging skills in multiple connected systems with their respective environments.
Excellent analysis and design capabilities, with a focus on system design, flow, scalability, performance and mapping the business requirements into technical solutions.

Success Measures

Deliver high-quality, scalable integration solutions (recipes/flows) within the Quote-to-Cash process and other high-impact GTMTech programs on time
Successfully deploy and operationalize integrations, ensuring system stability, performance, and adherence to integration best practices
Proactively identify and resolve complex integration issues, minimizing disruption to core business operations
Effectively collaborate with business and technical teams, translating complex requirements into technical design.
Become a champion and active participant in promoting MongoDB’s culture principles and best practices within the GTMTech team

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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.

Requisition ID

1273405375

Ready to apply?

MongoDB

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Senior Engineer, Internal Engineering

MongoDB · Gurugram

Internal Engineering Gurugram Posted May 7, 2026

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

MongoDB seeks an experienced Senior Software Engineer to help level up TechOps and play a key role in building a new internal engineering team. This team works alongside the Internal Engineering department to build enterprise-grade software that enables coworkers to be more effective and efficient. As a Senior Software Engineer, you’ll take ownership of critical internal tools and platforms, drive technical decisions, and contribute at a high level to systems that support essential workflows across the organization.

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

Our ideal candidate

Has 6+ years of professional software engineering experience
Deep experience with at least one modern programming language (Python, Go, Rust, etc.)
Strong technical judgment and the ability to independently solve complex engineering problems
Excellent communication skills and comfort collaborating across teams and disciplines
Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or similar)
Collaborative, detail-oriented, and passionate about building reliable, usable software

Bonus Round

Experience building and maintaining full-stack applications, from front-end UIs to backend API handlers to database migrations
Experience designing systems or services used by other engineers or teams
Knowledge of any of the following technologies: Next.js, FastAPI, React

Position Expectations

Own the implementation and long-term maintenance of internal tools and platforms
Lead technical design discussions and contribute to architectural decisions
Write high-quality, maintainable code while setting a strong engineering example for the team
Identify and proactively address technical debt, reliability risks, and scalability concerns
Collaborate with engineers, product partners, and other stakeholders to prioritize and deliver high-impact work

Success Measures

In three months, demonstrate strong ownership of one or more internal systems and contribute significantly to ongoing initiatives
In three months, independently deliver meaningful improvements that reduce manual effort or operational friction
In six months, have driven technical improvements or new tooling that measurably improves internal engineering efficiency, reliability, or velocity

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 - 4263344062

Ready to apply?

MongoDB

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Senior Software Engineer

MongoDB · Gurugram

Magenta Gurugram Posted May 7, 2026

We are seeking a Senior Software Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.

As a Senior Software Engineer on this new team, you will be responsible for developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

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

Position Expectations

Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service
Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

Strong background in building core components for high scale compute and data distributed systems
5+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
Good verbal and written technical communication skills, desire to collaborate with colleagues
Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
Eager to learn, with a strong technical background

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.

Requisition ID

426107

Ready to apply?

MongoDB

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Senior Staff Engineer

MongoDB · Bengaluru

Magenta Gurugram Posted May 7, 2026

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

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.

As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. We are open to considering candidates in other cities, including in Gurugram

Position Expectations

Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service
Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

Strong background in building core components for high scale compute and data distributed systems
15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery
Good verbal and written technical communication skills, desire to collaborate with colleagues
Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
Eager to learn, with a strong technical background

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 - 1273354568

Ready to apply?

MongoDB

View all jobs →

Senior Staff Engineer

MongoDB · Gurugram

Magenta Gurugram Posted May 7, 2026

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

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.

As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. We are open to considering candidates in other cities, including in Bengaluru.

Position Expectations

Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service
Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

Strong background in building core components for high scale compute and data distributed systems
15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery
Good verbal and written technical communication skills, desire to collaborate with colleagues
Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
Eager to learn, with a strong technical background

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 - 1273354568

Ready to apply?

MongoDB

View all jobs →

Senior Technical Program Manager

MongoDB · Gurugram

Magenta Gurugram Posted May 7, 2026

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

We are seeking a Senior Technical Program Manager (TPM) to join our growing Gurugram Products & Technology team to devise, implement and improve processes (and associated tools) and apply technical judgement to help MongoDB engineers succeed in building and delivering a new platform we are building to make it easier for customers to build AI applications using MongoDB.

As a Senior TPM on this new team, you will own processes across the engineering department, ensuring teams operate smoothly from idea to release and for every step in between. You will be working closely with Engineering and Product teams distributed in India, EMEA and US. You will be the owner of processes that ensure this critical team is able to seamlessly execute on their plans as they work closely with early customers on deployments.

MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

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

Position Expectations

Work closely with and facilitate communication between research, product management, product engineering, product design peers as well as other teams within the company to define the first version and future evolution of the service
Communicate and facilitate resolution of potential issues as we become aware of them
Act as a steward for the tools that power our engineering operations (including wiki, project management software, retrospective tools etc)
Track and ensure success of engineering deliverables and release tasks
Continually improve processes to ensure more efficient releases

Qualifications

4+ years experience of working in an Engineering organization with high scale cloud or multi-cloud software projects in a program / project management, development or administrative role
Degree in Computer Science, Mathematics, Engineering, Statistics, related fields or equivalent industry experience
Ability to maintain a strategic view of our software engineering process even while executing on the detailed tasks of day-to-day development
Skilled at communicating with a diverse set of engineers, product managers, and leadership
Hyper-organized and capable of juggling all of the data created by work across Core Engineering
Knowledgeable of and experienced with implementing agile/Scrum best practices
A role model for effective execution practices, driven by an attuned sense of priority and urgency
Experienced in successfully delivering complex cross-functional projects
Able to appreciate the engineering concepts being discussed, allowing them to facilitate discussion and flesh out the details required to ensure successful delivery
Experienced in gathering process pain points from team members and stakeholders and devising improvements to address them
Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
Interested in business automation work such as scripting in Python, Google Apps Script and Slack
Strong verbal and written technical communication skills, desire to collaborate with colleagues
Eager to learn, with a strong technical background

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 - 1273354604

Ready to apply?

MongoDB

View all jobs →

Lead, Engineering

MongoDB · Gurugram

Magenta Gurugram Posted May 7, 2026

We are seeking an Engineering Lead to join our growing Gurugram Product & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.

As an Engineering Lead on this new team, you will be responsible for leading and growing an engineering team, taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

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

Position Expectations

Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
Drive the architectural vision for the platform, ensuring it runs equally well on public clouds, private cloud environments and on-premise.
Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements
Take responsibility for the planning and execution of major features, raise delivery risks
Own the monitoring, operations, and maintenance of the systems your team develops
Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects

Qualifications

8+ years of experience of building distributed systems, and/or foundational cloud services at scale and experience in languages like Python, Golang, Java or Rust.
2+ years of experience managing a team of 3+ engineers and providing technical leadership
Track record in hiring, mentoring, and growing high-performing software engineering teams, experience working with remote teams and a passion for mentoring and career development of the team
Excellent verbal and written technical communication skills and desire to collaborate with colleagues, other teams, and lead projects
Strong background in building core components for high-scale compute or data processing / distributed systems
Have led the launch of new features and maintained them in production
Bonus points for experience with containerization and orchestration platforms (e.g. Kubernetes) and AI frameworks and tools
Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
Eager to learn, with a strong technical background

Success Measures

In the first month, you’ll have understood the surface area, the high level architecture of the new platform. You’ll have initiated one-on-one’s with your team members.
In three months, you’ll have on-boarded onto the team and contributed to the design and development of a core platform capability
In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members. Additionally, you’ll have contributed to the vision for the future of the platform and helped develop a plan to achieve that vision

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.

Requisition ID

426105

Ready to apply?

MongoDB

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Lead Engineer, Internal Engineering

MongoDB · Gurugram

Internal Engineering Gurugram Posted May 7, 2026

Team Description

MongoDB seeks an experienced Lead Software Engineer to help level up TechOps and launch a new internal engineering team. This team will work alongside the Internal Engineering department, building enterprise-grade software to enable coworkers to be more effective and efficient. As a Lead Engineer, you’ll be both a contributing engineer and manager, guiding a team of software engineers while actively contributing to codebases that support internal tools and platforms.

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

Position Expectations

Manage a team of 3-4 software engineers
Facilitate planning, execution, and delivery of work for your team
Balance hands-on engineering work with managerial responsibilities
Collaborate with other leads to effectively prioritize your team’s work for maximum impact
Work hand in hand with Product Development to continuously deliver value to internal customers
Design and build internal tooling to improve efficiency and workflows
Fix bugs and build features for internal platforms

Success Measures

In three months, establish positive relationships with your direct reports, giving guidance on how to effectively get their jobs done and grow their performance
In six months, enable your team to deliver high-quality software efficiently and consistently
In six months, personally contribute to solving a majority of actionable bugs and building new internal features

Our ideal candidate

Has 5-7 years of experience building software professionally
Has 1-2 years managing software engineers
Has experience with a modern programming language (Python, Go, Rust, etc.)
Has excellent organizational and project management skills
Cares deeply about coaching and developing teammates
Is collaborative, detail-oriented, and passionate about developing usable software

Bonus Round

Experience building full-stack applications, from front-end UIs to backend API handlers to DB migrations
Knowledge of any of the following technologies: Next.js, FastAPI, React

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 - 4263338799

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Principal Solutions Architect (Application modernisation)

MongoDB · Bengaluru; Gurugram; Mumbai

AMP, Sales Bengaluru Gurugram Mumbai Posted May 7, 2026

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

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$0.01—$0.01 USD

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MongoDB

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Staff Engineer

MongoDB · Gurugram

Magenta Gurugram Posted May 7, 2026

We are seeking a Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.

As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

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

Position Expectations

Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service
Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

Strong background in building core components for high scale compute and data distributed systems
8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery.
Good verbal and written technical communication skills, desire to collaborate with colleagues
Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
Eager to learn, with a strong technical background

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.

Requisition ID

426106

Ready to apply?

MongoDB

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Staff Engineer - Business Systems (Integrations)

MongoDB · Gurugram

GTM Tech Gurugram Posted May 7, 2026

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

About the Role

We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns.

You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data.

The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI.

Key Responsibilities

Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security
Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks
Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms
Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs alongside MCP-based interfaces and AI-driven services, including robust authentication and authorization (OAuth2, JWT), versioning, lifecycle management, and integration with API management platforms such as Apigee or similar
Translate ambiguous, cross-functional business requirements into well-structured technical designs, evaluating multiple solution approaches and recommending the best fit for scalability, extensibility, and long-term maintainability.
Provide technical leadership and mentorship to other integration engineers—coaching on Workato concepts (callable recipes, event streams, task optimization), API design, and integration patterns, and performing design and code reviews
Partner closely with GTM, Finance, Data, and Security teams to align integration designs with data governance, compliance, and audit requirements, including CI/CD practices and environment strategies for Workato and associated services
Establish and enforce non-functional requirements (NFRs) for integrations (performance, resiliency, observability, security), and ensure they are met through design, testing, and monitoring
Troubleshoot and resolve complex issues spanning multiple systems and environments by performing deep root-cause analysis and driving long-term corrective actions in partnership with system owners
Conduct POCs to validate technology or pattern choices (e.g., new Workato features, API capabilities, event streaming approaches) and guide the team on when and how to adopt them
Participate in and help mature the on-call and support rotation for integrations, ensuring robust incident response, escalation, and communication practices
Champion and role model MongoDB’s culture principles—Think Big, Make it Happen, Build Together, and Be Intellectually Honest—while driving high standards for technical excellence and operational rigor within GTMTech.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 10+ years of enterprise integration experience, including significant time in lead/architect roles
At least 5 years of hands-on experience designing and delivering complex, enterprise-grade integration solutions using Workato, with deep understanding of the platform beyond low-code/no-code capabilities (e.g., advanced recipes, callable recipes, event streams, Workato SDK, task optimization, governance)
Strong experience operating Workato in production at scale, including environment strategy, deployment automation, observability and monitoring, logging, and robust debugging in multi-system landscapes
Solid understanding of event-driven architectures and messaging technologies such as Kafka or equivalents, including topics, producers/consumers, message durability, failure handling, and retry strategies
Proficient with Workato connectors (including but not limited to Salesforce, NetSuite, HRIS, and Google Workspace), coupled with strong scripting skills (e.g., Python or Ruby) for advanced transformations and custom logic when required
Demonstrated experience defining and enforcing integration standards, patterns, and NFRs across teams, including performance, scalability, security, and operability benchmarks
Excellent analysis and system design capabilities, with a focus on system interactions, data flows, scalability, performance, and mapping complex business requirements into elegant, maintainable technical solutions
Strong troubleshooting skills across diverse technologies and environments, with the ability to quickly isolate issues and drive cross-functional teams toward resolution
Ability to mentor and upskill teammates, lead design and architecture reviews, and influence stakeholders through clear communication and well-reasoned recommendations
Comfortable working in a fast-paced, highly collaborative, and hybrid environment, and open to occasional travel as needed for key workshops or stakeholder engagements.

Success Measures

In 3 months, you will have:

Gained a deep understanding of the GTMTech integration landscape, including key Workato recipes, APIs, and event streams across Quote-to-Cash and adjacent domains
Ownership of at least one critical integration domain, stabilizing existing integrations and addressing high-priority issues or technical debt.

In 6 months, you will have:

Designed and delivered high-quality, scalable integration solutions (recipes/flows and APIs) for key GTMTech initiatives, with measurable improvements in reliability, performance, and observability
Established or refined integration standards and NFR guidelines (including SLAs/SLOs, error-handling patterns, and monitoring dashboards) and gained adoption across the GTMTech integration team
Led design reviews and architecture discussions for new integration initiatives, ensuring alignment with event-driven and API-first strategies and influencing technology choices where appropriate.

In 12 months and beyond, you will have:

Become the go-to integration and API architecture leader for GTMTech, recognized for your ability to decompose complex business problems into scalable integration designs and to guide teams toward high-quality implementations
Demonstrated a track record of proactively identifying integration risks, performance bottlenecks, and architectural gaps, and leading cross-functional efforts to address them with durable solutions
Played a central role in elevating the overall maturity of GTMTech integrations—improving uptime, reducing incidents, shortening time-to-recovery, and increasing development velocity through better tooling, patterns, and governance
Championed MongoDB’s culture principles within GTMTech, mentoring engineers, shaping interview and hiring standards for integration roles, and contributing to a high-performing, inclusive team culture

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.

Requisition ID

1273405376

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MongoDB

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Senior Data Analyst

MongoDB · Gurugram

Analytics-Product Gurugram Posted May 7, 2026

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.

Requisition ID

1273362655

Ready to apply?

MongoDB

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DevOps Consultant, Industry Solutions

MongoDB · Gurugram

PTO Industry Solutions Gurugram Posted May 7, 2026

MongoDB, as a database software and consistently voted the #1 most wanted database preferred by developers, is continuing to attract the most demanding, innovative companies and development teams in enterprise software.

To meet this demand, we are looking for passionate DevOps professionals to join our growing Industry Solutions Team (IST), a remote/flexible, globally-dispersed team. As part of our strategic investment in demo infrastructure capabilities, this role is critical to maintaining, scaling, and optimizing our demo portfolio, enabling our Industry Solutions Consultants to focus on customer engagement, content creation, and industry expertise while ensuring world-class infrastructure reliability and security. Our objective is to align MongoDB as an industry solution and ensure we understand enterprise clients and their needs to modernize software legacies, transition to modernized solutions, and guide them through continuous data-driven modernization across various industries.

MongoDB Industry Solutions Consultants communicate the direction of MongoDB's platform to customers and industry partner communities through webinars, client presentations, blog content, video content, live/virtual events, and demos. Your role will directly enable these activities by ensuring robust, reliable infrastructure that supports seamless demonstrations and proof-of-concepts across various industry verticals, helping to showcase MongoDB's capabilities to enterprise clients worldwide.

You'll work with cutting-edge technologies including Kubernetes, multi-cloud environments (AWS/GCP), and MongoDB's complete product suite, while building the infrastructure foundation that powers MongoDB's industry solution demonstrations globally. You'll collaborate closely with the global IST technical team and product teams, playing a key role in supporting deals and driving the business forward through reliable technical infrastructure.

What You Will Do at MongoDB

Infrastructure Management & Optimization

Design and implement infrastructure-as-code templates for consistent demo deployments across 65+ demonstrations
Optimize and maintain our KANOPY Kubernetes platform with production-grade configurations
Manage MongoDB clusters with automated scaling, standardized security configurations, and centralized monitoring
Maintain mixed AWS/GCP deployment environments with focus on performance and cost optimization

Security & Compliance

Implement comprehensive security scanning and automated vulnerability remediation
Maintain Wiz vulnerability management and security compliance across all demo environments
Establish and enforce enterprise-grade security standards and practices
Monitor and respond to security incidents with systematic surveillance and optimization

Automation & DevOps Excellence

Build and maintain CI/CD automation pipelines for seamless demo deployments
Implement autonomous end-to-end testing frameworks across the entire demo portfolio
Deploy centralized monitoring, logging, and alerting systems for proactive issue resolution
Create self-service developer tools to enable rapid demo development and deployment

Operational Support

Provide dedicated incident response and system monitoring to prevent disruptions to Industry Solutions Demos
Establish unified data model frameworks for consistent demo experiences
Support 20-25 new demo builds annually, including complex microservices architectures
Collaborate with wider technical team on infrastructure requirements and optimization opportunities

As an Ideal Candidate, You Will Have

Required Experience

5+ years of DevOps/Infrastructure engineering experience in enterprise environments
Strong expertise in Kubernetes orchestration and container management
Hands-on experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or similar)
Proficiency in CI/CD pipeline design and implementation (Jenkins, GitLab CI, GitHub Actions, etc.)
Experience with multi-cloud environments (AWS, Azure, GCP) and cloud-native architectures
Strong background in monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.)

Technical Skills

Database administration experience, preferably with MongoDB or other NoSQL databases
Security scanning and vulnerability management experience
Scripting and automation skills (Python, Bash, Go, or similar)
Experience with microservices architecture and service mesh technologies
Understanding of networking, security principles, and compliance frameworks

Soft Skills

Excellent problem-solving and troubleshooting abilities
Strong communication skills for cross-team collaboration
Self-motivated with ability to work independently in a remote-first environment
Passion for learning new technologies and staying current with DevOps trends
Experience mentoring junior team members and sharing best practices

As an Ideal Candidate, You May Also Have

Master's degree in Computer Science, Engineering, or equivalent work experience
MongoDB certification or experience with MongoDB Atlas
Experience in SaaS or enterprise software environments
Experience with service mesh technologies (Istio, Linkerd)
Knowledge of data pipeline and ETL processes

What You Will Learn

Technical Growth

Deep expertise in MongoDB's complete product suite and ecosystem
Advanced Kubernetes and cloud-native architecture patterns
Enterprise-scale infrastructure design and security best practices
Modern DevOps methodologies and automation frameworks

Business Context

How infrastructure enables customer success and business growth
Industry-specific use cases and solution architectures across various verticals

Location & Work Arrangement

This role is based in India with flexible remote work options. The Industry SolutionsTeam operates globally with collaboration across time zones. Occasional travel may be required for team events, training, or MongoDB conferences.

Why Join Our Team

Impact: Build the infrastructure foundation that powers MongoDB's industry solution strategy
Growth: Join a global team with significant investment and leadership support
Innovation: Work with cutting-edge technologies in a fast-paced, evolving environment
Culture: Be part of MongoDB's collaborative, inclusive, and learning-focused culture

This role is part of MongoDB's strategic investment in demo infrastructure capabilities, offering the opportunity to build something new while working with industry-leading technologies and a world-class team.

About MongoDB

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

With offices worldwide and 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.

Req ID: 1273401871

Ready to apply?

MongoDB

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Senior Analyst, AI Workflows & Automation

Roblox · Gurugram, Haryana, India

Safety Operations (Non-Tech) Gurugram, India Posted May 7, 2026

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

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

You Will:

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

You Have:

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

Good To Have:

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

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Ready to apply?

Roblox

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Lead Software Engineer - Back End Ai (Gurugram based)

Agoda · Gurugram

Information Technology Gurgaon Posted May 7, 2026

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

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

Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover more about working at Agoda

Agoda Careers https://careersatagoda.com
Facebook https://www.facebook.com/agodacareers/
LinkedIn https://www.linkedin.com/company/agoda
YouTube https://www.youtube.com/agodalife

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Ready to apply?

Apply to Agoda

Agoda

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Staff Software Engineer - Back End Ai (Gurugram based)

Agoda · Gurugram

Information Technology Gurgaon Posted May 7, 2026

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

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

Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover more about working at Agoda

Agoda Careers https://careersatagoda.com
Facebook https://www.facebook.com/agodacareers/
LinkedIn https://www.linkedin.com/company/agoda
YouTube https://www.youtube.com/agodalife

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Ready to apply?

Apply to Agoda

Agoda

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Senior Machine Learning Scientist

GoDaddy · Gurugram, Haryana, India

Engineering Gurugram Posted May 7, 2026

Location Details: Gurugram

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

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

Join our Team

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

What you'll get to do...

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

Your experience should include...

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

You might also have...

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

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

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

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

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

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

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

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

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

Ready to apply?

Apply to GoDaddy

GoDaddy

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Data Analyst, Operations (IP & Legal Compliance)

Roblox · Gurugram, Haryana, India

Safety Operations (Non-Tech) Gurugram, India Posted May 6, 2026

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

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

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Ready to apply?

Roblox

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Product Support Incident Specialist

Roblox · Gurugram, Haryana, India

Safety Operations (Non-Tech) Gurugram, India Posted May 6, 2026

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

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

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Ready to apply?

Roblox

View all jobs →

Product Support Specialist

Roblox · Gurugram, Haryana, India

Safety Operations (Non-Tech) Gurugram, India Posted May 6, 2026

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

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

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Ready to apply?

Roblox

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Senior Analyst, Data Scientist

Arcesium LLC · Hyderabad

Client and Partner Development Bengaluru Gurugram Hyderabad Posted May 6, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

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.

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

Ready to apply?

Arcesium LLC

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Senior DevOps Delivery Engineer, Delivery

Payoneer · Gurugram, India

Business Applications & Ecosystem India-Gurgaon Posted May 6, 2026

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

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

The Payoneer Ways of Working

Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.

Do it. Own it.
Being fearlessly accountable in everything we do.

Continuously improve
Always striving for a higher standard than our last.

Build each other up
Helping each other grow, as professionals and people.

If this sounds like a business, a community, and a mission you want to be part of, apply today.

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Ready to apply?

Payoneer

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Senior Software Engineer - AI

Payoneer · Gurugram, India

WFM India-Gurgaon Posted May 6, 2026

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

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.

The Payoneer Ways of Working

Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.

Do it. Own it.
Being fearlessly accountable in everything we do.

Continuously improve
Always striving for a higher standard than our last.

Build each other up
Helping each other grow, as professionals and people.

If this sounds like a business, a community, and a mission you want to be part of, apply today.

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Ready to apply?

Payoneer

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Senior Manager, AI Engineering

Anaplan · Gurugram, India

Engineering Gurugram - Office Posted May 6, 2026

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

About the Role

Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform.

Key Responsibilities

Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.

Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.

Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).

Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.

Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.

Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.

Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.

Required Qualifications

Proven experience leading AI/ML teams in a SaaS or enterprise software environment.

Deep expertise in time series forecasting and machine learning.

Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).

Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.

Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.

Experience with agentic frameworks and autonomous agent architectures.

Proficiency in Python and modern software development practices (testing, code review, CI/CD).

Proven track record of delivering complex technical projects on time with high quality.

Excellent communication, collaboration, and stakeholder management skills.

Track record of delivering impactful AI solutions in a fast-paced, agile environment.

Preferred Qualifications

Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.

Experience with large-scale data processing frameworks like Spark.

Familiarity with the challenges of applying AI in enterprise planning or financial domains.

A portfolio of published research or contributions to open-source AI projects.
10 Years +

What Makes This Role Exciting

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer 

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not: 

Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  

Ready to apply?

AN

Anaplan

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AI Product Generalist

Nanonets · Gurugram

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

Product India Posted May 5, 2026

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://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.

Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.

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Manager, Performance & Attribution

Arcesium LLC · Bengaluru; Gurugram; Hyderabad

Client and Partner Development Bengaluru Gurugram Hyderabad Posted May 5, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

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

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

Ready to apply?

Arcesium LLC

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Lead Data Engineer

Arcesium LLC · Hyderabad

Technology Bengaluru Gurugram Hyderabad Posted May 5, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

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.

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

Ready to apply?

Arcesium LLC

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Principal Solution Architect -FDSA Tech

Arcesium LLC · Hyderabad

Client and Partner Development Bengaluru Gurugram Hyderabad Posted May 5, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

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.

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

Ready to apply?

Arcesium LLC

View all jobs →

Product Lead - Compliance (Share Disclosure)

Arcesium LLC · Hyderabad

Product Gurugram Hyderabad Posted May 5, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

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.

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

Ready to apply?

Arcesium LLC

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Senior Principal Solution Architect, Client and Partner Development

Arcesium LLC · Hyderabad

Client and Partner Development Bengaluru Gurugram Hyderabad Posted May 5, 2026

Company Overview

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

Arcesium is seeking a Senior Solution Architect to design and deliver complex technical solutions for a portfolio of Strategic Accounts — large financial institutions with sophisticated infrastructure, demanding integration requirements, and high expectations for technical rigor. This is a deeply technical role focused on translating business requirements into scalable platform architectures, driving project delivery, and building PoCs and integration blueprints that unlock the full value of Arcesium’s capabilities. You will be accountable for solution quality, project outcomes, and technical excellence across your assigned accounts, working in close partnership with Product, Engineering, and Operations to ensure successful delivery.

What you’ll do:

Define project scope and success criteria. Participate with internal and external stakeholders to define scope, success criteria, and technical acceptance criteria for projects prioritized by the client. Translate ambiguous requirements into precise, structured project briefs with measurable outcomes.
Translate business requirements into technical solutions. Apply deep understanding of Arcesium’s technical and functional capabilities to design solutions that address client workflows and operational pain points. Leverage standard platform capabilities where possible and engage Product and Engineering teams to propose enhancements where gaps exist.
Lead and deliver technical projects. Serve as the primary SA on one or two major client projects and secondary SA on additional concurrent engagements. Own project success end-to-end — including milestone tracking, dependency management, risk identification, and ensuring delivery timelines are met with high quality.
Present solutions to technical and business stakeholders. Communicate solutions in various forms — verbal walkthroughs, formal documentation, architecture illustrations — adapted to the audience. Provide effective project updates to senior stakeholders internally and at the client, ensuring shared understanding of technical decisions and delivery progress.
Guide stakeholders on how to accelerate value through Arcesium. Advise client technology stakeholders on the best ways to leverage Arcesium’s platform capabilities to achieve their strategic goals. Run structured discovery sessions to understand workflows and technical constraints and translate these into solution architectures and integration blueprints with clear value framing.
Own project risk identification and escalation. Continuously identify, assess, and manage risks related to solution design and project delivery. Serve as the technical escalation point of contact alongside the PMO for assigned projects, coordinating cross-functional internal teams (Engineering, Ops, Product) to drive timely resolution of blockers and technical issues.
Rally stakeholders and design effective project plans. Align internal and client stakeholders toward shared technical goals throughout the project lifecycle. Design project plans that sequence delivery to realise client value early, engage additional SAs or specialist teams as needed, and maintain a clear view of dependencies and trade-offs.
Champion process improvement and best practices. Actively contributes to improving how solution architecture is practiced within CS3 — proposing and implementing process improvements, championing asynchronous written communication for project updates, and helping establish quality standards that raise the bar across the team.

CORE TECHNICAL RESPONSIBILITIES

Platform integration architecture. Design and validate end-to-end integration architectures connecting Arcesium’s platform with client systems — including order management, portfolio accounting, risk, and reporting infrastructure common in large asset managers, hedge funds, and global custodians.
API and data product design. Define canonical data contracts, API interaction models, and ETL pipeline patterns that ensure reliability, observability, and scalability across high-volume financial data environments.
Proof of concept and prototyping. Rapidly build working prototypes and PoCs — using Python and relevant tooling — to validate approaches, unblock architectural decisions, and demonstrate Arcesium’s platform capabilities in context of a client’s specific use case.
Cross-functional internal coordination. Act as the internal technical voice for assigned projects — translating client requirements into precise, actionable briefs for Product, Engineering, and Operations. Engage these teams proactively throughout the project lifecycle to unblock delivery and ensure solution quality.
Technical best practices and tooling. Contribute to group-wide technical standards — suggesting ways to reduce delivery cost, improve integration patterns, and increase efficiency across implementation projects. Use insights from active projects to continuously raise the bar on solution quality and architectural rigor.

What you’ll need:

Degree in Computer Science or related discipline with 10–15 years’ experience
Experience working with or within large financial institutions — banks, asset managers, hedge funds, or prime brokers
Hands-on proficiency in Python; strong grasp of APIs, distributed systems, and ETL pipelines
Proven track record delivering complex technical projects in a client-facing SA or solutions engineering capacity
Confidence presenting to C-suite and senior technology leadership
Strong written communication — solution documents, business cases, architecture decks
Self-motivated, independent thinker who thrives in a collaborative, distributed team environment
Familiarity with financial data domains — portfolio accounting, trade data, risk, and reporting
Understanding of financial services regulatory and compliance context
Experience with DevOps practices and cloud-native architecture patterns
Programme management or delivery governance experience

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

Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).

Arcesium is an equal opportunity employer.

Ready to apply?

Arcesium LLC

View all jobs →

Lead Engineer - AI

Payoneer · Gurugram, India

WFM India-Gurgaon Posted May 5, 2026

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

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.

The Payoneer Ways of Working

Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.

Do it. Own it.
Being fearlessly accountable in everything we do.

Continuously improve
Always striving for a higher standard than our last.

Build each other up
Helping each other grow, as professionals and people.

If this sounds like a business, a community, and a mission you want to be part of, apply today.

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Ready to apply?

Payoneer

View all jobs →

AI/ML Developer

Payoneer · Gurugram, India

WFM India-Gurgaon Posted May 5, 2026

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

Role Summary

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

Key Responsibilities

1 Model Design & Training

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

2 Model Evaluation & Quality

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

3 MLOps & Deployment

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

4 Research & Innovation

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

5 Collaboration & Stakeholder Management

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

Required Qualifications

1 Education

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

2 Experience

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

3 Technical Skills — Core

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

4 Technical Skills — Nice to Have

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

Behavioural Competencies

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

The Payoneer Ways of Working

Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.

Do it. Own it.
Being fearlessly accountable in everything we do.

Continuously improve
Always striving for a higher standard than our last.

Build each other up
Helping each other grow, as professionals and people.

If this sounds like a business, a community, and a mission you want to be part of, apply today.

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Ready to apply?

Payoneer

View all jobs →

Senior Machine Learning Engineer

Inovalon · Gurugram, India

3002 - Data Platform Engineering Office: Gurugram BU: Insights Posted May 4, 2026

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.

Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

Job Title: Senior Full Stack Machine Learning Engineer

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes. We are looking for a talented and experienced Senior Full Stack Machine Learning Engineer to join our dynamic team.

Job Description:

As a Senior Full Stack Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models that drive our healthcare solutions. You will work closely with data scientists, software engineers, and product managers to build scalable and robust machine learning systems. Your expertise will help us transform healthcare data into actionable insights, ultimately improving patient care and operational efficiency.

Key Responsibilities:

Model Development: Design, implement, and optimize machine learning models for various healthcare applications, including predictive analytics, natural language processing, and generative AI.
End-to-End Deployment: Develop and maintain the full lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production environments.
Data Engineering: Collaborate with data engineers to build and maintain data pipelines, ensuring the availability of high-quality data for training and inference.
Software Development: Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems.
Performance Optimization: Continuously monitor and improve the performance of machine learning models and systems, addressing issues related to scalability, latency, and accuracy.
Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
Experience: Minimum of 5 years of experience in machine learning, with a proven track record of deploying models in production environments.

Technical Skills:

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Strong knowledge of data structures, algorithms, and software engineering best practices.
Familiarity with big data technologies (e.g., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).
Experience with frontend and backend development, including frameworks such as React, Node.js, and Django.

Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.

Soft Skills:

Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Ability to work independently and as part of a team in a fast-paced environment.

What We Offer:

Competitive salary and benefits package.
Opportunity to work on impactful projects that improve healthcare outcomes.
Collaborative and innovative work environment.
Professional development and growth opportunities.
Flexible work arrangements, including hybrid and remote options.

Join us in our mission to transform healthcare through technology! We look forward to hearing from you.

This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)

If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.

By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.

Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.

To review the legal requirements, including all labor law posters, please visit this link

To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Ready to apply?

Apply to Inovalon

Inovalon

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TU

AI Engineering Lead

Turing · Gurugram, Haryana, India

Production Engineering India - Remote Posted May 1, 2026

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

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.

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

Ready to apply?

Apply to Turing

TU

Turing

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TU

Principal Forward Deployed AI Engineer

Turing · Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India

Production Engineering - Enterprise AI India - Remote Posted May 1, 2026

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

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.

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

Ready to apply?

Apply to Turing

TU

Turing

View all jobs →

TU

Staff Gen AI Engineer

Turing · Gurugram, Haryana, India

Production Engineering - Enterprise AI India - Remote Posted May 1, 2026

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

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

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

Ready to apply?

Apply to Turing

TU

Turing

View all jobs →

Machine Learning Ops Engineer

Inovalon · Gurugram, India

3002 - Data Platform Engineering Office: Gurugram BU: Insights Posted May 1, 2026

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.

Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

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.

This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)

If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.

By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.

Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.

To review the legal requirements, including all labor law posters, please visit this link

To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Ready to apply?

Apply to Inovalon

Inovalon

View all jobs →

AN

Software Engineer

Anaplan · Gurugram, India

Engineering Gurugram - Office Posted Apr 30, 2026

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

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.

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer 

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not: 

Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  

Ready to apply?

AN

Anaplan

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AN

Software Engineer

Anaplan · Gurugram, India

Engineering Gurugram - Office Posted Apr 30, 2026

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

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.

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer 

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not: 

Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  

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Software Engineer - AI

Anaplan · Gurugram, India

Engineering Gurugram - Office Posted Apr 30, 2026

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

About the Role

We're seeking a versatile GenAI Software Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.

Key Responsibilities

Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments
Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering, RAG implementation
Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
Optimize model inference pipelines for performance, cost, and scalability in production environments
Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
Collaborate with data scientists to productionize ML models and forecasting algorithms
Write comprehensive tests including unit tests, integration tests, and prompt regression suites
Participate in code reviews, technical design discussions, and knowledge-sharing sessions
Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption

Required Qualifications

3+ years of software engineering experience with 2+ years of understanding on ML/AI systems.
Strong programming skills in Python including understanding of ML frameworks (PyTorch, TensorFlow, Transformers)
Understanding or experience of building and deploying LLM-powered applications in production
Understanding or experience of front-end development with React, TypeScript, and modern web technologies
Understanding of RESTful API design, microservices architecture, and cloud infrastructure
Experience with prompt engineering, RAG systems
Understanding of ML fundamentals including NLP, time-series analysis, or recommender systems
Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
Excellent problem-solving skills and attention to detail
Bachelor’s degree in computer science, Machine Learning, or related field

Preferred Qualifications

Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
Experience with model serving frameworks (vLLM, TensorRT, Ray)
Background in forecasting, planning, or analytics applications
Familiarity with Anaplan or similar enterprise planning platforms
Experience with A/B testing and experimentation frameworks for AI features
Contributions to open-source ML projects or research publications
Experience with model observability tools (LangSmith, W&B, MLflow)

What Makes This Role Exciting

Lead a greenfield team building transformative AI capabilities from the ground up
Work on cutting-edge conversational and agentic AI technologies
Build user-facing AI features that directly impact how businesses plan and make decisions
Experiment with the latest GenAI models and techniques
Collaborate with talented engineers, data scientists, and product designers
Solve unique challenges at the intersection of AI and enterprise software
Grow your skills in both ML engineering and full-stack development

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer 

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not: 

Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  

Ready to apply?