Role Overview

We are seeking a Senior NetSuite Engineer to serve as a technical and functional owner of NetSuite, with deep expertise across Order-to-Cash (O2C), Record-to-Report (R2R), and core accounting processes. This role will partner closely with Finance, Accounting, Revenue Operations, Tax, and IT to design, build, and scale NetSuite solutions that enable accurate financial reporting, operational efficiency, and compliance.

The ideal candidate combines strong accounting domain knowledge with hands-on NetSuite configuration and development expertise, and has experience supporting complex revenue models, multi-entity environments, and close automation.

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

Key Responsibilities

NetSuite Ownership & Solution Design

• Act as a senior technical and functional lead for NetSuite, owning design decisions and best practices across O2C and R2R
• Translate business requirements into scalable NetSuite solutions using native configuration and custom development where required
• Lead NetSuite architecture decisions across subsidiaries, accounting books, and integrations

Order-to-Cash (O2C)

• Own NetSuite support and enhancements for
• Quotes → Sales Orders → Billing → Revenue Recognition → Cash Application
• Configure and optimize
• Billing schedules, invoice automation, and credit memo workflows
• Revenue Recognition including SSP, fair value pricing, and rev rec rules
• Multi-element arrangements, usage-based billing, subscriptions, and amendments
• Partner with Sales Ops and RevOps on
• Salesforce → NetSuite integrations
• Deal structure validation and downstream accounting impacts
• Reduce manual effort, billing errors, and revenue leakage through automation and controls.

Record-to-Report (R2R) & Accounting

• Own NetSuite processes supporting
• General Ledger, AP, AR, Fixed Assets, Intercompany, and Consolidations
• Design and enhance
• Month-end and quarter-end close workflows
• Journal entry automation and approvals
• Account reconciliations and variance analysis support
• Support multi-entity, multi-currency, and multi-book accounting environments
• Ensure alignment with GAAP/IFRS requirements, SOX controls, and audit readiness

Customization & Development

• Develop and maintain
• SuiteScript (1.0 / 2.x), SuiteFlow workflows, SuiteBuilder customizations
• Saved searches, dashboards, KPIs, and financial reports
• Build robust approval workflows, validations, and exception handling
• Optimize system performance and reduce technical debt

Integrations & Data Management

• Own and support integrations between NetSuite and
• Salesforce, billing platforms, payment processors, banks, tax engines, and data warehouses
• Partner with integration teams to ensure
• Data accuracy, idempotency, and error handling
• Lead data migrations, transformations, and historical data loads

Controls, Compliance & Audit

• Design and maintain SOX-compliant controls within NetSuite
• Support internal and external audits by
• Providing system documentation
• Explaining configurations and accounting logic
• Ensure strong role-based access controls and segregation of duties

Stakeholder Partnership & Leadership

• Serve as a trusted advisor to
• Accounting, FP&A, RevOps, Tax, and Finance leadership
• Lead NetSuite initiatives including
• New module rollouts
• Re-implementations or major upgrades
• Mentor junior NetSuite administrators and engineers
• Create and maintain system documentation and runbooks.

Required Qualifications 

• 7–10 years of experience with NetSuite ERP environments
• Strong hands-on experience supporting O2C and R2R processes
• Experience in SaaS, subscription, or usage-based revenue models strongly preferred
• Proven experience supporting month-end close and revenue accounting teams

Technical Skills

• Expert in: NetSuite GL, AR, AP, Revenue Management, and Billing
• SuiteScript (2.x preferred), SuiteFlow, and Saved Searches
• Strong experience with:
• Revenue Recognition (ASC 606)
• Multi-entity and intercompany accounting
• NetSuite integrations and data imports
• Concur, Coupa and other financial systems

• Working understanding of:
• GAAP accounting principles
• Revenue recognition and deferred revenue
• Financial close and reporting processes
• Ability to connect system design decisions to downstream accounting and reporting impacts

Soft Skills

• Excellent communication skills; able to bridge technical and accounting audiences
• Strong problem-solving mindset with attention to detail
• Comfortable operating in fast-paced, ambiguous environments
• Ability to lead initiatives independently and influence without authority

Preferred Qualifications

• NetSuite certifications (Administrator, ERP Consultant, SuiteCloud Developer)
• Experience with
• SOX-compliant environments
• Pre-IPO or public company finance systems
• Global tax engines (Avalara, Vertex)
• Prior experience leading a NetSuite re-implementation or major transformation

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.

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.

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.

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

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.

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

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

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth.

With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions.

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

Role Overview

We are looking for a highly experienced Lead Salesforce Engineer to drive the architecture, design, and evolution of critical Salesforce and CRM solutions across our business systems landscape. This role combines deep technical leadership, hands-on solution design, cross-functional stakeholder partnership, people management, and a modern engineering mindset that embraces AI-powered development responsibly to improve productivity, quality, and long-term platform health.

What you’ll do

• Lead the architecture, design, and development of scalable Salesforce solutions, including custom applications, automations, and integrations
• Translate business requirements into secure, maintainable, and scalable technical solutions aligned with long-term platform strategy
• Partner closely with business stakeholders, product teams, and engineering teams to refine requirements and deliver high-quality solutions
• Oversee integrations between Salesforce and other enterprise platforms, ensuring reliable data flow and sound system design
• Drive platform optimization across performance, scalability, usability, maintainability, and governance
• Establish and enforce engineering standards for coding, testing, documentation, CI/CD, and release management
• Troubleshoot complex technical and production issues and drive long-term, scalable resolutions
• Maintain technical documentation, including architecture decisions, design specifications, and implementation details
• Stay current with Salesforce platform capabilities, releases, and best practices, and proactively recommend improvements
• Proactively identify process and technical gaps, and help define and drive tech debt reduction initiatives, platform modernization efforts, and engineering efficiency improvements across the Salesforce ecosystem
• Leverage AI-powered engineering tools such as Apex Guru, GitHub Copilot, Salesforce Agentforce/Vibes, Claude Code, and similar capabilities to improve development productivity, code quality, design effectiveness, troubleshooting, and documentation, while applying strong judgment around security, privacy, accuracy, and responsible AI usage

Responsibilities

• Provide technical leadership through architecture reviews, design reviews, code reviews, and engineering best practices
• Act as a subject matter expert on Salesforce development, platform capabilities, automation, integrations, and scalable CRM solution design
• Lead technical design sessions and identify gaps between current-state and future-state solutions
• Evaluate emerging technologies, frameworks, and engineering practices, and drive proof-of-concepts where appropriate
• Mentor engineers across the team and foster a culture of ownership, collaboration, continuous learning, and engineering excellence
• Support team growth by coaching, developing talent, and helping build a high-performing engineering organization
• Influence business and technical stakeholders through strong communication, sound judgment, and effective problem-solving
• Operate effectively in a fast-changing environment by managing priorities, driving accountability, and ensuring high-quality execution

Minimum Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
• 12+ years of experience in Salesforce engineering, application development, or technical leadership within global SaaS organizations
• Strong hands-on experience with Apex, Lightning Web Components, Flows, integrations, and Salesforce platform customization
• Strong understanding of Salesforce architecture, governor limits, design patterns, and scalable solution design
• 5+ years of experience working with Salesforce CPQ and strong understanding of Quote-to-Cash / Order-to-Cash processes
• Experience with DevOps, CI/CD, release management, and Agile/Scrum delivery models
• Salesforce Platform Developer II (PD2) and Salesforce CPQ Specialist certifications required; Salesforce Certified Application Architect and Salesforce Certified System Architect certifications strongly preferred

Success Measures

• In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and technical landscape. Build trusted relationships with key stakeholders and engineering partners
• In 6 months, you will: Lead the technical design and successful delivery of critical Salesforce initiatives. Establish yourself as a trusted technical leader within the Sales Apps team
• In 12 months, you will: Be the go-to technical leader for Salesforce architecture, complex solution design, and platform strategy. Elevate team quality through strong technical leadership, mentoring, and scalable engineering practices

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: 1273405377

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

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.

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

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

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

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

The ideal candidate for this role will have

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

Position Expectations

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

Success Measures

Within the first three months, you will have:

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

Within six months, you will have:

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

Within 12 months, you will have:

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

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

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

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

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

The ideal candidate for this role will have

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

Position Expectations

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

Success Measures

Within the first three months, you will have:

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

Within six months, you will have:

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

Within 12 months, you will have:

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

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.

Engineer 3, Business Systems (CPQ)

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

About Team

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

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

Role Overview

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

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

What you’ll do

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

Responsibilities

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

Minimum Requirements

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

Preferred Qualifications

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

Success Measures

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Get to Know our Team:  

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

The Opportunity:      

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

In this Role, you'll get to

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

What You’ll Need to Succeed 

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

It’s Great If You Have 

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

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

Get to Know our Team: 

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

The Opportunity:    

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

In this Role, you'll get to      

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

What You’ll Need to Succeed

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

It’s Great If You Have  

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

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

Get to Know our Team: 

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

The Opportunity:    

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

In this Role, you'll get to      

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

What You’ll Need to Succeed

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

It’s Great If You Have  

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

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

We’re looking for a Full Stack Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment. 

You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.

With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.

Responsibilities:

• 3+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.  
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.  
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.  
• Experience with containerization (Docker) and orchestration (Kubernetes, Helm).  
• Knowledge in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar). 

About the Role:

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

What you’ll be spending your time on

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

Have you done this kind of stuff?

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

Not a must but a great advantage

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

#LI-PG1

Role Summary

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

What Makes This Role Different

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

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

Key Responsibilities

1  Feature Engineering & Delivery

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

2  AI-Augmented Development Practices

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

3  Code Quality & Engineering Excellence

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

4  Architecture & Technical Design

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

5  Mentoring & Team Growth

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

6  Cross-functional Collaboration

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

Required Qualifications

1  Education

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

2  Experience

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

3  Technical Skills — Core Engineering

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

4  AI Tooling Skills (Mandatory)

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

5  Nice to Have

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

Behavioural Competencies

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

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. 

Tesco Retail Media team is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.

We are seeking a Lead Front-End Engineer to drive excellence in front-end development and user experience for our high-scale SaaS platform. This role will be instrumental in shaping the front-end architecture, defining best practices ensuring high performance, security, and accessibility standards, and mentoring engineers.

You will collaborate closely with backend engineers, product teams, UX designers, and platform engineers to ensure our applications are scalable, resilient, and user-friendly. You will also work with New Relic and Google Lighthouse to monitor front-end performance and observability.

Key Responsibilities

• Technical Leadership: Define and establish front-end engineering best practices, including architecture, performance optimization, and maintainability.
• Front-End Architecture: Design and implement scalable, modular component architectures using ReactJS and optimize UI performance using tools like Google Lighthouse.
• Collaboration with Backend & BFF Teams: Work with backend teams to design API interactions that balance efficiency and security, without overloading the front-end.
• Mentorship & Upskilling: Guide and mentor engineers, establishing a strong front-end culture.
• CI/CD & Deployment: Improve front-end build pipelines, automated deployments, and observability using GitLab and Octopus Deploy.
• User Experience & Accessibility: Ensure the UI is fast, accessible, and intuitive, aligning with UX design best practices.

Required Skills & Experience

• 8+ years of front-end development experience with ReactJS, TypeScript, and JavaScript (ES6+), Design patterns and modern UI frameworks.

• Experience with Micro Frontends architecture and component libraries (e.g., Storybook, Material UI).
• Deep understanding of front-end performance optimization, Core Web Vitals, accessibility (WCAG), Webpack Bundle Analyzer, and React Profiler.
• In-depth knowledge of Webpack, Babel, ESLint, Prettier, and other modern build tools and task runners for optimizing development workflows.
• Experience integrating front-end applications with RESTful APIs and GraphQL.
• Strong knowledge of component-based architectures, and UI state management (Redux, React Query, etc.).
• Hands on automated testing (Jest, Cypress, React Testing Library).
• Experience with styled components and Emotion in ReactJS for modular and scoped CSS-in-JS, enabling efficient and dynamic styling
• Proficiency with Webpack's advanced features like tree-shaking, lazy loading, code-splitting, and bundle optimization.
• Strong collaboration skills to work effectively with cross-functional teams, including back-end engineers, UX designers, and product managers. (must for lead role)

Good to have:

• Experience working in cloud-based SaaS environments, with GCP preferred

• Experience with CI/CD pipelines and deployment automation (GitLab, Octopus Deploy)

• Test-Driven Development (TDD) approach to ensure code reliability and quality in complex projects.

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.

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.

We're seeking a technology-driven and people-focused Platform Director to lead with innovation, adaptability, and a commitment to excellence in a dynamic, complex payment solutions environment.

Responsibilities:

• Build and lead new teams to develop a cutting-edge cross-border payment system, modernize infrastructure to support business growth, and deliver customer-focused solutions.
• Be an integral part of the management team, influencing strategy and decision-making.
• Mentor and grow managers, teams, and engineers while scaling the organization.
• Foster an agile work environment and ensure adoption of agile methodologies.
• Collaborate closely with Product, SRE, DevOps, Data, Operations, and other R& D teams to achieve business goals.
• Design robust technical solutions, evaluate architectural options, and define technical direction and quality standards.
• Promote a culture of innovation and personal development within the organization.
• Take ownership of team growth, recruitment, and development processes.

Requirements:

• A collaborative team player with strong leadership, communication, and interpersonal skills.
• Demonstrated ability to mentor, inspire, and build high-performing engineering teams.
• A passion for managing and growing talent.
• Ambition and a strong eagerness to learn and adapt.
• Strategic thinking with a strong problem-solving and analytical mindset.

What you will need:

• Overall Experience: 18+ years of experience in software engineering, including hands-on development and leadership roles.
• Education: A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
• Leadership: 5+ years of managerial experience, leading large development groups or overseeing R& D in small/medium companies.
• Development: 10+ years as a developer with full-stack experience (e. g., C#, . NET, Java).
• Technical Expertise: Proficiency with REST APIs, Queues, and Microservices architecture.
• Architectural Knowledge: Strong understanding of OOP, design patterns, and system development (not just services).
• Engineering Practices: Expertise in code reviews, test coverage, and agile methodologies.

We’re looking for a Sr Full Stack Software Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment. 

You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.

With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.

Responsibilities:

• 6+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.  
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.  
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.  
• Hands On Experience with containerization (Docker) and orchestration (Kubernetes, Helm).  
• Experience in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar). 

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.

About the Role

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

What Makes This Role Exciting

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

About the Role

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

What Makes This Role Exciting

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

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

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

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

What We Offer

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

Team Description 

Join the Platform Experience team, a core group within our GPTO Engineering organization, where you will report to the Director of Engineering. Our team is on a mission to provide the unshakeable foundation of trust, security, and scale for the entire Anaplan ecosystem. We empower our internal developers and external partners to build with speed and confidence. 

Your Impact 

• Lead the technical vision and execution for quality assurance across our Platform Experience, spanning Product Security, Platform Management, and Data Integration. 
• Architect, design, and build the next generation of highly available, secure, and scalable testing frameworks and strategies that ensure the robustness and reliability of our platform's backbone services. 
• Collaborate with architects and Product Partners to align quality assurance implementation patterns with long-term direction, applying a product mindset to ensure platform quality solutions meet business and customer needs. 
• Set the standard for QA engineering excellence through hands-on leadership in test automation architecture, insightful quality design, and strategic guidance across our backend technology stack (Java, Kotlin, Go, .NET). 
• Mentor QA engineers and software engineers across teams through test design input, automation framework reviews, and best practice sharing for quality. 
• Champion innovation in performance testing, security testing, tooling, and overall platform quality features. 
• Drive technical planning for quality initiatives, shape our long-term quality strategy, and lead critical incident retrospectives from a quality perspective to ensure continuous improvement. 

Your Qualifications 

• A seasoned QA professional with 12+ years of experience building, testing, and scaling complex platform, infrastructure, or data-centric systems. 
• Deep, hands-on expertise in designing, developing, and implementing advanced test automation frameworks for modern back-end applications (Java/J2EE, Kotlin, Go, .NET) and distributed systems using RESTful APIs and event-driven patterns. 
• Extensive experience with K8s, public and private cloud; multi-region, multi-tenant topologies from a quality assurance perspective. 
• Proven experience with CI/CD, GitOps, and high-velocity release workflows, with a strong focus on integrating and automating quality gates throughout the pipeline. 
• Strong cross-functional collaboration and communication skills, with a track record of influencing engineering and product strategy to embed quality practices at every stage. 

Preferred Skills 

• Proven experience influencing architecture and platform quality strategy. 
• Passion for technical mentorship and elevating engineering and QA culture. 
• Experience scaling quality efforts under high throughput demands and complex system interactions. 
• Ability to drive sustainable quality delivery without sacrificing engineering velocity. 

• • Comfortable navigating globally distributed teams and asynchronous collaboration in a senior quality leadership role. 

About the Role

Here at Anaplan, we have reinvented how companies see, plan, and run their businesses. Our platform allows our customers to uncover new insights, connect their strategy to their plans, and work in ways they had not previously thought possible. Anaplan is the only scenario planning and analysis platform designed to optimize decision-making in today's complex business environment so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, our platform intelligently surfaces key insights — so businesses can make the right decisions, right now. We are seeking a talented AI QA Lead to guide our team and ensure the quality and reliability of our cutting-edge AI and machine learning solutions.

Key Responsibilities

• Lead, mentor, and grow high-performing QA Engineers across multiple stream aligned teams.
• Define and drive the overall QA strategy for our Forecasting project, with a focus on time-series forecasting.
• Oversee the design, development, and maintenance of automated test frameworks.
• Guide the team in implementing and executing robust test cases for our AI-powered features and APIs.
• Champion the use of BDD frameworks, such as Gherkin, to create clear, concise, and maintainable tests.
• Ensure the team effectively tests and validates RESTful APIs to meet high standards of quality and performance.
• Collaborate with product managers, data scientists, and engineering leads to align on quality standards and release criteria.
• Oversee the identification, documentation, and tracking of bugs and inconsistencies in our AI/ML systems.
• Drive improvements to our CI/CD pipeline to ensure that our AI models are continuously tested and deployed with confidence.

Required Qualifications

• A skilled QA Engineer with 8+ years of experience testing and assuring the quality of complex platform, infrastructure, or data-centric systems.
• Strong proficiency in Python.
• Proven experience leading or mentoring a QA team in a fast-paced technical environment.
• Deep understanding of machine learning concepts and a proven track record of testing ML models, particularly in the domain of time-series forecasting.
• Expertise with testing frameworks such as pytest.
• Strong experience with Behavior-Driven Development (BDD) and Gherkin.
• In-depth knowledge of API testing and validation.
• Proficiency in modern software development practices (testing, code review, CI/CD).
• A proven track record of delivering complex technical projects on time with high quality.
• Excellent leadership, communication, and interpersonal skills.

Preferred Qualifications

• Experience with performance, scalability, and security testing of AI systems.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with strategic planning and roadmap development for a QA function.
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

What Makes This Role Exciting

• You will lead a talented team at the forefront of AI innovation, working on a platform that is transforming how businesses make decisions.
• You will have a strategic impact, shaping the future of quality for our AI-powered products.
• You will be part of a collaborative and creative leadership team that values openness, authenticity, and inclusivity.
• We are a fast-growing company, and you will have ample opportunities for professional growth and to define your team's trajectory.

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 an expert Lead React Developer to guide our front-end engineering team in building intuitive, high-performance, and scalable user interfaces. As a technical leader, you will be responsible for the architecture, quality, and delivery of the user-facing components of our market-leading platform. You will play a critical role in shaping the user experience that empowers thousands of users to navigate complex data and make critical business decisions.

Key Responsibilities

• Lead a team of front-end developers, providing technical mentorship, guidance, and support.
• Architect and build robust, scalable, and maintainable front-end solutions using React and its ecosystem.
• Take a hands-on role in writing clean, efficient, and well-tested code, setting the standard for the team.
• Drive front-end technical strategy and roadmap, making key decisions on frameworks, libraries, and architecture.
• Lead code reviews to ensure high-quality, performance, and adherence to best practices.
• Work closely with product managers, UX designers, and backend engineers to translate requirements and designs into perfect user experiences.
• Champion best practices for front-end development, including performance optimization, accessibility, and testing.
• Mentor junior and mid-level developers, fostering a culture of technical excellence and continuous improvement.

Required Qualifications

• Extensive (8+ years) hands-on experience developing complex, large-scale web applications using React.
• Deep understanding of the React ecosystem, including Hooks, Context API, and functional components.
• Proven expertise in state management libraries such as Redux, Zustand, or Recoil.
• Strong proficiency in JavaScript (ES6+) and TypeScript.
• Expertise in modern front-end build tools and package managers (e.g., Webpack, Vite, npm, Yarn).
• Solid experience with front-end testing frameworks like Jest and React Testing Library.
• Experience with RESTful APIs and/or GraphQL.
• Demonstrated experience in a technical leadership or mentorship role.
• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively.

Preferred Qualifications

• Bachelor's degree in computer science or a related field.
• Experience building and maintaining component libraries or design systems.
• Strong knowledge of web performance optimization techniques.
• Familiarity with web accessibility standards (WCAG).
• Experience working in a SaaS or enterprise software environment.
• Familiarity with CI/CD pipelines and agile development methodologies.

What Makes This Role Exciting

As a Lead FE Developer at Anaplan, you will be at the forefront of building the user interface for a powerful and complex platform used by major global enterprises. You will have the autonomy to make significant architectural decisions and the opportunity to guide a talented team. This is a chance to solve challenging technical problems, directly influence the user experience, and see your work have a tangible impact on how businesses operate and plan for the future.

About the Role

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

What Makes This Role Exciting

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

About the Role

We're pioneering a new role focused exclusively on quality assurance for GenAI systems. As our AI QA Engineer, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills

to ensure our AI features are reliable, accurate, and trustworthy

Key Responsibilities

• Design and implement comprehensive testing strategies for GenAI features including conversational AI, agentic systems, and LLM-powered workflows
• Develop automated test suites for prompt testing, including regression tests that detect unintended changes in model behaviour
• Create evaluation frameworks to measure GenAI quality across multiple dimensions (accuracy, relevance, safety, consistency, latency)
• Build and maintain test datasets and golden examples that represent diverse user scenarios and edge cases
• Implement monitoring and alerting systems to detect quality degradation in production GenAI features
• Perform adversarial testing to identify potential failures, hallucinations, biases, or security vulnerabilities in AI systems
• Collaborate with engineers to define acceptance criteria and quality gates for AI feature releases
• Develop tools and frameworks that make it easy for engineers to test their GenAI implementations
• Conduct user acceptance testing and gather feedback on AI feature performance from internal users
• Document testing procedures, known issues, and quality metrics in clear, accessible formats
• Partner with Product and Design teams to ensure AI features meet user experience standards
• Stay current with GenAI testing methodologies, tools, and industry best practices

Required Qualifications

• 3+ years of QA or test engineering experience, preferably with AI/ML systems.
• Strong understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns
• Experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)
• Knowledge of software testing methodologies (functional, integration, regression, performance, security testing)
• Ability to design test cases and evaluation criteria for non-deterministic systems
• Strong analytical and problem-solving skills with attention to detail
• Experience with API testing tools (Postman, REST Assured) and backend testing
• Familiarity with CI/CD pipelines and automated testing integration
• Excellent communication skills for documenting issues and collaboration

Preferred Qualifications

• Experience testing conversational AI, chatbots, or agentic systems
• Knowledge of ML model evaluation metrics and techniques
• Familiarity with LLM evaluation frameworks (LangSmith, PromptFoo, Ragas)
• Experience with performance testing and load testing AI APIs
• Understanding of responsible AI principles including fairness, transparency, and safety testing
• Background in enterprise software or SaaS QA
• Experience with test management tools (TestRail, Zephyr, Jira)
• Knowledge of security testing methodologies for AI systems
• Scripting experience with Python, including working with LLM APIs

What Makes This Role Exciting

• Define QA practices for GenAI applications
• Work on cutting-edge AI technologies and help ensure they're reliable and trustworthy
• Shape quality standards that will impact millions of enterprise users
• Collaborate closely with engineers, data scientists, and product teams
• Grow expertise in a highly specialized and increasingly important domain
• Influence the entire AI product development lifecycle from design to release
• Join a team that values quality as a first-class concern, not an afterthought

As a Senior Release Manager, you will be the central orchestrator for delivering value to our customers, acting as a critical bridge between Engineering, Ops, and Customer Care. Your primary impact will be to ensure a smooth, predictable, and efficient release process for all software and infrastructure changes. You will achieve this by:

• Driving Release Strategy and Execution:You will partner directly with engineering teams to plan, coordinate, and execute the delivery of new features and updates. Your role is to manage the entire release lifecycle, from initial planning and risk assessment to final deployment and communication.
• Enhancing Visibility and Decision-Making:You will provide crucial insights to the business by developing and maintaining dashboards in Jira and Confluence and tracking key metrics that align to business outcomes. Your ability to use data to drive decisions will ensure stakeholders have a clear view of release progress and potential risks.
• Championing Agile and Process Improvement:You will be a key driver of our Agile culture, constantly improving our release processes, practices, and tooling. By defining and rolling out common approaches and leveraging your experience with scaled agile frameworks, you will make it simpler for teams to deliver high-quality software efficiently.

Your Qualifications:

Essential

• Extensive commercial experience as a Release Engineer or Release Manager within a software engineering environment.
• Strong history of using data to track metrics and drive decision-making.
• Demonstrated experience with software delivery, including continuous integration and delivery (CI/CD) pipelines.
• Proven experience implementing and working within a scaled framework for agile development.
• Strong leadership and change management skills, with the ability to lead via influence in a cross-functional setting and manage the rollout of new processes.

Key Skills & Technologies

• Excellent communication skills, especially in translating technical concepts for diverse audiences.
• Expertise with Jira(including Advanced Roadmaps), Confluence, and CI/CD tools like Jenkins and Harness.
• Familiarity with cloud environments such as Google Cloud (GCP)and AWS.

Desirable

• A background in DevOps.
• Proficiency with scripting languages.
• Experience with data visualization tools like PowerBI.
• Knowledge of Splunk and GitHub.

We want you to think big and act ambitious through expressing your authentic best self! Anaplan is looking for a tenacious Senior ServiceNow Engineer organization in Gurgaon, India. This role demands a comprehensive knowledge of ServiceNow modules, exceptional problem-solving skills, and the capability to collaborate effectively with cross-functional teams. If you’re ready to roll up your sleeves and tackle unique problems that no one else is solving, keep reading.

What you'll do:

• Manage daily administration of the ServiceNow platform, includes routine maintenance, patching, and upgrades.
• Develop reliable and scalable applications, workflows, and overall automation, streamlining processes, improving experience, enhancing productivity, and enforcing data hygiene.
• Implement and manage integrations with third-party systems.
• Improve development capabilities, when possible, to accelerate demand delivery while not compromising quality and experience.
• Apply thought leadership to understand dependencies, maintain security, and ensure performance and stability.
• Maintain instance health by adhering to and carrying out ServiceNow best practices through configuration and development, leveraging OOTB features, capabilities, and configurations wherever possible.
• Promote continuous improvement and implement platform performance optimization strategies to ensure maximum efficiency.
• Maintain compliance and strive for swift controlled adoption of platform upgrades, patches, and hotfixes.
• Implement reports and dashboards as needed
• Build and maintain technical design and configuration documentation.
• Provide mentoring through example and knowledge sharing.

What you'll have:

To be successful in the role, you must possess the following skills

• Around 8 years of software development experience, with at least 3 years ServiceNow Platform/Product development and implementation experience including JavaScript and XML.
• Experience in REST/SOAP APIs.
• Experience in Virtual Agent and Gen AI capabilities.
• Experience with ServiceNow Platform Products: ITSM, ITAM/HAM/SAM, CSM, ITOM
• Experience with Scoped/Custom Applications, Integration Hub, and Flow Designer.
• Experience planning and executing ServiceNow Platform upgrades and cloning.
• Bachelor's degree in Computer Science, Computer Engineering, or other related fields or equivalent professional experience.
• ServiceNow Certifications (on latest supported version): Application Developer, Certified System Administrator

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

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

Education:

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

Physical Demands and Work Environment:

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

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design, develop, deploy, test, support technical solutions using full-stack development tools and technologies 
• Design and develop user friendly, responsive web interfaces using modern web application frameworks   
• Utilize programming languages like Java, SQL, Python (for the backend) and JavaScript, HTML/CSS (for the frontend) 
• Should have expert level knowledge in RDBMS/SQL and NoSQL databases
• Deploy the micro services seamlessly using Container Orchestration services like Docker and Kubernetes, and a variety of AWS managed services and tools 
• Adept at troubleshooting complex distributed systems and performance issues 
• Should be a team player and excel in fast-paced agile environments 
• Expecting a fast learner by keeping up with the latest trends and technologies in backend and front-end development. 

Job Requirements:

• 8+ years of experience in Enterprise Java development 
• 5+ Years experience with JavaScript (with modern UI frameworks like Angular, React or Vue.js) 
• Extensive experience in SQL and NoSQL technologies
• Demonstrated experience in Caching, queuing, scheduling, concurrent and event-driven architectures 
• Demonstrated experience of developing applications on/for Linux platforms
• Should have proven track record of implementing distributed systems and microservice architectures (RESTful APIs) 
• Involved knowledge of best practices for implementing secure web applications 
• Strong experience with AWS (preferred), Microsoft Azure, GCP and/or other clouds  
• Experience with CI/CD pipelines and modern deployment techniques 

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

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

Get to Know our Team:  

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

The Opportunity:      

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

In this Role, you'll get to

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

What You’ll Need to Succeed 

• At least 10+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, Kotlin, Python, Go, or C#. 
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved 
• Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements 
• Good understanding of algorithms and data structures 
• Demonstrated strong coding ability. 
• Proven track record of enhancing team productivity and effectiveness through a KPI-driven approach. 
• Strong architectural skills, actively driving architectural decision-making within the team. 
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills 
• Excellent verbal and written English communication skills 

It’s Great If You Have 

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

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

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

Duties and Responsibilities:

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

Job Requirements:

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

Education:

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

Soft Skills:

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

Job Description

 PayPay is looking for a Frontend Engineer to build and scale UI/Product experiences for our web applications. You’ll work closely with Product, Design, and Backend teams to deliver high-quality features, contribute to a growing design system.

Primary Responsibilities

• Deliver product features end-to-end: translate requirements into clean, scalable UI implementations with well-structured components and predictable data flow.
• Build reusable UI components and patterns: contribute to and extend our design system using tools like Storybook; prioritize consistency, accessibility basics, and developer ergonomics.
• Integrate APIs and handle real-world states: implement robust data fetching patterns (pagination, caching, retries), and manage loading/error/empty states with clear UX behavior.
• Write maintainable, modular code: apply good separation of concerns (presentation vs business logic vs API layer), meaningful abstractions, and clear naming; keep codebase easy to extend.
• Optimize performance and reliability: identify bottlenecks (rendering, network, bundle size), apply pragmatic improvements (memoization, debouncing, virtualization where relevant), and avoid async pitfalls (stale responses, race conditions).
• Improve engineering quality: participate actively in code reviews, raise the bar on standards, and help enforce best practices around testing strategy, i18n, and build tooling.
• Collaborate cross-functionally: work closely with PM/Design/Backend to clarify requirements, propose tradeoffs, and deliver iteratively with high ownership.
• Support operational excellence: use observability tooling (e.g., Sentry, New Relic, Kibana) to debug production issues, measure impact, and improve stability.
• Grow toward full-stack ownership (optional path): partner with backend teams and gradually take on BFF/API contributions using Node.js (NestJS/Express) as needed.

Tech Stack

Frontend: Typescript/Javascript , React/Vue, single-spa, Webpack, Jest, Storybook, i18n , micro-frontend

Middlewear : NestJS, Express

Infra/CI: AWS, Docker, Kubernetes, ArgoCD, Terraform, GitHub Actions, Jenkins

Obs/Analytics: Sentry, Kibana, New Relic, Google Analytics, Firebase

Qualifications

• 3 - 5 years of professional frontend development experience.
• Strong JavaScript fundamentals.
• Solid experience in React and/or Vue.
• Proven ability to write readable, modular, production-quality code.
• Strong problem-solving skills with practical DSA (web-relevant) comfortable reasoning about time/space complexity.
• Performance awareness: can identify bottlenecks and implement pragmatic optimizations.
• Ability to do low-level design (LLD) for frontend features: break down requirements into components/modules, define interfaces, and plan implementation in milestones.
• Good communication: can explain approach and tradeoffs clearly.
• Leverage AI/LLM based tools in daily workflows

Preferred Qualifications

• Experience with Nest.js (routing, SSR/CSR tradeoffs, data fetching strategies).
• Experience with Node.js or API integration patterns (REST, pagination, auth flows, error handling).
• Familiarity with design systems, accessibility basics, and responsive UI patterns.
• Exposure to frontend observability (error logging, basic performance metrics).
• Experience with micro-frontends (e.g., single-spa) or large-scale frontend architectures.

What success looks like

• You can independently deliver a feature end-to-end with clean architecture and reliable async handling.
• Your code is modular, maintainable, and performance-conscious.
• You contribute to consistent UI patterns and raise team quality through reviews and collaboration.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

　　※The development center requires you to work in the Gurugram office to establish the strong core team.
　　　

Location: Gurugram - India 
Full-time

What You’ll Be Spending Your Time On:

• Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems
• Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams. 
• Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed. 
• Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements. 
• Proactively identify areas of improvement in team systems, processes, and scalability. 
• Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions. 
• Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach. 

Have You Done This Kind of Stuff:

• 4 - 6 years in backend software engineering roles, with demonstrated ability to navigate technical trade-offs and ambiguity effectively. 
• Extensive experience in C# and .Net ecosystem is a mandatory requirement. 
• Hands-on experience in SQL Server and database management 
• Experience with message queues or streaming platforms (e.g., RabbitMQ, SQS, Kafka). 
• Experience in writing unit test and strong knowledge of design principles, data structures and algorithms. 
• Experience with microservices architecture. 
• Experience in designing new functionality for existing complex components while maintaining scalability and performance. 
• Ability to collaborate effectively and communicate technical concepts to diverse stakeholders. 
• BSc/BE/B.Tech in Computer Science, Software Engineering, or equivalent degree 

Not a Must, but a Great Advantage:

• Practical experience with Agile development methodologies. 
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud). 
• Practical knowledge of non-relational databases (eg. MongoDB) 
• Experience in mentoring new hires and interns, fostering a culture of collaboration and best practices.

#LI-AK1

About the Role

Are you a tech-savvy organizer who loves finding smarter ways to work?

As our India site continues its rapid scaling, we are looking for a next-generation Executive Assistant to support the India Site Head. This isn’t your traditional administrative role. We are looking for a "tech-first" problem solver who leverages AI agents, automation tools, and large language models to streamline executive operations.

Whether you are an experienced EA looking to modernize your skill set, or a brilliant fresher with a passion for AI and organization, this role is your launchpad. You will be the operational backbone for the Site Head - automating the mundane so the leadership team can focus on the extraordinary, while also bringing a human touch to our operations, serving as the primary host and culture champion for all visiting partners and site gatherings and events.

What You’ll Do

A) AI & Workflow Automation

• Build the "Virtual EA": Deploy and manage AI agents and automation workflows (using tools like Copilot, ChatGPT, Claude, or Power Automate) to handle routine tasks such as calendar triage, meeting invite acceptances, and basic email drafting.
• Smart Follow-Ups: Design automated systems to track leadership action items, pending approvals, and project follow-ups.
• Process Innovation: Continuously research and implement new AI tools to reduce administrative overhead for the executive office.

B) Executive & Site Support

• Strategic Calendar Management: Manage complex scheduling for the Site Head, ensuring time is protected for high-priority business initiatives.
• Event & Delegate Management: Act as the primary host for visiting global executives, VIP delegates, and external partners.
• Culture & People: Organize high-impact site events, leadership offsites, and team-building initiatives that foster a highly engaged work environment.
• Cross-Functional Coordination: Act as a seamless liaison between the Site Head, the Chief of Staff, and the broader GCC leadership team.

What You Bring

• Experience: Open to both fresh graduates with a strong tech portfolio and experienced professionals with a proven track record of modernizing administrative workflows.
• Tech Fluency: Hands-on experience (or strong demonstrated interest) in AI tools, prompt engineering, and basic workflow automation. You don't need to be a software engineer, but you should be extremely comfortable configuring AI agents to solve operational bottlenecks.
• Exceptional Communication: Flawless written and verbal communication skills, with the ability to interact confidently with global leadership and diverse teams.
• Hyper-Organized: An innate ability to manage multiple moving parts, prioritize ruthlessly, and anticipate the needs of the executive office before they arise.
• People Skills: A warm, professional demeanour with a natural talent for hospitality, event hosting, and relationship building.