About Inizio Ignite

We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – helping healthcare leaders shape strategy and drive meaningful change. 

About the Role

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

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

What you'll be doing

Leadership & Delivery

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

Technical Responsibilities

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

What you'll need

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

Our Pledge

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

Artificial Intelligence

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

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.

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

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’re looking for a hardworking, driven partner leader with superb energy, passion and initiative to join our highly talented India Partner Organization. This role concentrates exclusively on building executive and business leaders-level relationships, formulating and executing a pipeline generation strategy in the India market through our Global Systems Integrator (GSI) partners, resulting in aggressive pipeline growth and new customer acquisition.

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

Responsibilities

• Build strong and effective GSI partner relationships, resulting in growth opportunities 
• Proactively prospect, identify, qualify and develop a sales pipeline to and through our Global System Integrators partners
• Cultivate and manage a network of strategic champions at both the executive and architect levels to ensure deep engagement, influence adoption, and scale the partnership across targeted accounts
• Drive the development of mutually beneficial joint offerings, integrated solutions, and Go-to-Market (GTM) strategies with partners to create new revenue streams and expand market penetration
• Interlock with our Cloud and Ecosystem(ISV/OEM) partners do accelerate consumption of identified GSI pipelines
• Work with our Field Sales team to close business to meet and exceed monthly, quarterly and annual bookings objectives
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs
• Have an in-depth and detailed understanding of MongoDB products to confidently provide mentorship for your Partner Sales team

Requirements

• 12+ years of quota-carrying experience in a fast-paced and competitive market with a focus on new business
• 5+ years of quota-carrying experience generating pipeline and selling through Global System Integrators
• Proven experience in managing, developing, and scaling multi-faceted strategic partnership with GSI ecosystem 
• Demonstrated ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets
• Skilled in building business champions and running a complex sales process
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, devops and open source technology a plus
• Driven and competitive: Possess a strong desire to be successful
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products

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 - 1273364550

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

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

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

Roles Responsibilities

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

You may also have

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 426250

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

What You'll Do:

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

What You’ll Need:

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

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

What Makes This Role Exciting

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

About the Role 

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

Key Responsibilities 

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

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

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

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

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

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

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

Required Qualifications 

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

• Deep expertise in time series forecasting and machine learning. 

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

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

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

• Experience with agentic frameworks and autonomous agent architectures. 

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

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

• Excellent communication, collaboration, and stakeholder management skills. 

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

Preferred Qualifications 

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

• Experience with large-scale data processing frameworks like Spark. 

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

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

What Makes This Role Exciting 

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

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

What you’ll do:

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

 CORE TECHNICAL RESPONSIBILITIES

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

What you’ll need:

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

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

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

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

What You'll Do:

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

 What You'll Need:

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

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

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

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

What You'll Need: 
• 8 to 12 years of experience in client facing roles requiring a high degree on consultative and solutioning skills (e.g., client solutions, professional services and implementations, etc.), providing technical solutions and building and driving software development 
• Hands on experience in working in investor allocation & fund accounting work space across Hedge fund, UCITS, IAM, private funds. 
• Hands on experience in complex fund structures such as multi layer FOF, Master-feeder, blocker, UCITs etc. 
• Skills cutting across technology and financial domain 
• Ability to drive cross-functional medium & large-scale projects, across business and technology domains; stakeholder management across levels is required 
• Strong interpersonal skills and experience building strong internal and external relationships 
• Strong communication skills, including the ability to be influential and persuasive with stakeholders 
• Familiarity with cutting edge cloud solutions and data analysis techniques 

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

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. 

About the Role 

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

Key Responsibilities 

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

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

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

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

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

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

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

Required Qualifications 

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

• Deep expertise in time series forecasting and machine learning. 

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

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

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

• Experience with agentic frameworks and autonomous agent architectures. 

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

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

• Excellent communication, collaboration, and stakeholder management skills. 

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

Preferred Qualifications 

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

• Experience with large-scale data processing frameworks like Spark. 

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

• A portfolio of published research or contributions to open-source AI projects. 
• Experience requrired - 15+ Yrears

What Makes This Role Exciting 

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

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. 

Anaplan is looking for a Salesforce business Analyst, to join our Information Technology team, who will support our AMER, EMEA and APAC region as well as support run the business activities globally.

As a part of Go-to market IT team, you will be working very closely with stakeholders from various functions like Sales Operations, Marketing Operations, Customer Care and Customer Success. You will also support day to day tasks around Salesforce & other integrating tools when it comes to supporting the business.

What you’ll do

GTM Systems & Solution Design ( Lead to Cash Architecture)

• Translate business needs into scalable system designs across the GTM stack
• Establish design principles, guardrails, and scalable patterns across systems
• Own solution architecture across:
  • Salesforce Sales Cloud
  • CPQ (product catalog, pricing, bundling)
  • Customer Success (e.g., Gainsight)
  • Marketing automation (e.g., Marketo, leandata,Outreach,LinkedInNavigator)
  • Integrations with ERP/Billing systems

• Drive process standardization and simplification across tools
• Anticipate downstream impact across systems before implementation
• Act as the single-threaded owner of Lead-to-Cash across the GTM systems landscape (Salesforce, CPQ, Gainsight, Marketo, integrations, and downstream systems)
• Ensure alignment across Sales, Presales, Deal Desk, Customer Success, Finance, and Partnerships
• Identify and close gaps between strategy (pricing, packaging) and execution (systems, workflows)
• Lead requirements gathering, process mapping, and gap analysis
• Convert business problems into:
• Clear user stories
• Functional & technical specifications
• Challenge stakeholders to refine unclear or suboptimal requirements
• Hands on Salesforce objects, flows, validation rules, layouts
• CPQ configuration (products, pricing rules, discounting, bundles)
• Basic Lightning components (LWC exposure preferred, not heavy dev)
• Reports, dashboards, and data models
• Troubleshoot issues across systems and integrations
• Coordinate cross-functional stakeholders for UAT execution
• Defect tracking and prioritization
• Business validation and signoffs
• Drive release readiness, rollout, and adoption

Operational Excellence & Continuous Improvement

• Own intake and prioritization framework for GTM enhancements
• Improve:
• Data quality
• Process compliance
• System adoption

What you bring

• 6–10+ years in Salesforce ecosystem (Sales Cloud + CPQ)
• Proven experience owning end-to-end Lead-to-Cash lifecycle
• Ability to operate as:
• Strategic thinker (architect mindset) AND
• Hands-on executor (configuration + testing)
• Strong experience in UAT planning, execution, and release governance
• Deep understanding of:
• CPQ complexity (pricing rules, bundles, approvals)
• Sales processes (pipeline, forecasting, deal desk)
• Pricing & packaging strategies
• Customer lifecycle (acquire → expand → renew)

• Familiarity with:
• Gainsight (or CS platforms)
• Marketo (or marketing automation)
• Experience with tools like:
• LinkedIn Sales Navigator
• ZoomInfo
• Exposure to AI/automation in GTM systems is a strong plus

About the Role 

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

Key Responsibilities 

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

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

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

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

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

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

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

Required Qualifications 

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

• Deep expertise in time series forecasting and machine learning. 

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

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

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

• Experience with agentic frameworks and autonomous agent architectures. 

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

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

• Excellent communication, collaboration, and stakeholder management skills. 

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

Preferred Qualifications 

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

• Experience with large-scale data processing frameworks like Spark. 

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

• A portfolio of published research or contributions to open-source AI projects. 
• Experience - 15+ years

What Makes This Role Exciting 

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

Role Summary

We’re looking for a Principal Architect who is a tech enthusiast with a drive for excellence and an out-of-the-box mindset to satisfy business needs in a complex payments environment. You will be a key technical leader in our Cloud Modernization initiative while also accelerating how we use AI to improve engineering velocity, reliability, and customer outcomes by enabling safe, governed adoption of GenAI, building agentic systems, and embedding AI-assisted capabilities into our platforms and workflows.

What You’ll Do

· You will introduce AI-enabled capabilities to solve engineering and business problems by identifying high-value use cases, enabling AI adoption and AI-led development practices across teams, and delivering measurable outcomes.

· You will build and ship agentic systems that can plan, execute, and collaborate with humans safely with robust controls, and help build core AI capabilities to scale adoption.

Who You Are

· You also have a strong point of view on practical AI adoption. You can translate real engineering pain points into AI-enabled solutions, select the right patterns and ship systems with strong evaluation, observability, and governance.

Key Skills and Competencies

· Experience in designing and shipping LLM-enabled applications and agentic architectures in production environments, with sound judgment on when not to use agents.

· Experience in responsible AI governance, evaluation, and data safety, including prompt‑injection mitigation, data access controls, secrets handling, policy enforcement, audit logging, offline/online evaluation, observability, red‑teaming, cost/latency monitoring, and safe handling of enterprise and PII data.

About Payoneer 

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

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

Role summary 

We’re looking for a Principal Architect who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment. 

Location: Gurgaon-India 

Hybrid - Full-time 

What You’ll Do 

• You will be a core member of the Cloud Modernization initiative, a high-impact engineering function responsible for transforming our technology backbone into a modern, cloud-native platform. 
• You will operate at the intersection of cloud architecture and enterprise modernization, leading critical initiatives to migrate, modernize, and re-architect legacy platforms into scalable, secure, and highly automated cloud-native systems. 
• You will lead initiatives from a technical front, defining target architectures, establishing modernization patterns, and driving execution across engineering teams. You will design and implement cloud-native solutions, modern infrastructure platforms, and secure cloud environments that can support global-scale workloads. 
• This role operates in a mission-driven model, where you will engage with multiple teams to accelerate modernization, unblock critical initiatives, and establish patterns and platforms that can be adopted broadly across the organization. 
• You will work closely with architecture, platform, infrastructure, security, and product teams to modernize legacy systems, migrate databases and applications to the cloud, introduce modern DevOps and platform engineering practices, and raise the overall cloud maturity of the organization. 
• Your work will directly shape the company’s future cloud platform and engineering velocity. 

Who You Are 

• You are a seasoned Cloud and Modernization Architect with a strong sense of ownership and accountability. You are comfortable operating in complex enterprise environments and driving large-scale transformation initiatives. 
• You bring deep expertise across cloud platforms, infrastructure, databases, and DevOps, and can translate legacy architectures into modern, scalable, and cloud-native systems. 
• You balance long-term architectural vision with pragmatic execution and understand how to modernize systems safely and incrementally. 
• You embrace change and continuously adapt to evolving technologies, architectures, and organizational needs. You are proactive, curious, and comfortable making architectural decisions in ambiguous environments. 
• You thrive in cross-team environments and influence teams through technical leadership, clarity, and strong execution. 
• You are impact-driven, not territory-driven, and measure success by how effectively you modernize systems, enable teams, and improve the organization’s overall cloud maturity. 

Key skills and competencies 

• 10+ years of experience in cloud architecture, infrastructure, or platform engineering 
• Deep hands-on experience with public cloud platforms, preferably AWS 
• Proven experience leading cloud migration and modernization of enterprise systems 
• Strong experience designing cloud architecture including compute, storage, networking, and security 
• Strong experience with Infrastructure as Code, preferably Terraform or CloudFormation 
• Experience with cloud networking, VPC design, private connectivity, and secure architectures 
• Experience with relational databases such as PostgreSQL, MySQL, or Aurora 
• Experience with NoSQL databases such as DynamoDB, MongoDB, or similar 
• Experience with containers and Kubernetes, preferably EKS 
• Experience building and operating CI/CD pipelines and modern DevOps practices 
• Experience modernizing legacy systems into microservices or cloud-native architectures 
• Experience with high availability, scalability, and disaster recovery design 
• Experience working in enterprise environments with strong security and compliance requirements 
• B.S. in computer science or equivalent 

The Payoneer Ways of Working Act as our customer’s partner on the inside 

Learning what they need and creating what will help them go further. 

Continuously improve 

Always striving for a higher standard than our last. 

Do it. Own it. 

Being fearlessly accountable in everything we do. 

Build each other up 

Helping each other grow, as professionals and people. 

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

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

#LI-AK1

We’re looking for a Sr Big Data Engineer who expects more from their career. It’s chance to extend and improve dunnhumby’s Data Engineering Team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.    

Key Responsibilities 

• Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms. 
• Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams. 
• Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies. 
• Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability. 
• Define and implement data governance, metadata management, and data quality standards. 
• Lead architectural reviews and technical design sessions to guide solution development. 
• Partner with business and IT teams to translate business needs into data architecture requirements. 
• Ensure security, compliance, and regulatory requirements are addressed in all data solutions. 
• Evaluate and recommend improvements to existing data architecture and processes. 
  
  

Technical Expertise

• Bachelors or masters degree in computer science, Information Systems, Data Science, or related field. 
• Extensive experience with high level programming languages - Python, Java or Scala 
• 5+ years of experience in data architecture, data engineering, or a related field. 
• Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar. 
• Experience with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata). 
• Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services. 
• Experience working in Agile or DevOps environments. 
• Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks). 
• Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets. 
  
• Extensive Experience working with Git and Process Automation  
  
• In depth understanding of relational database management systems (RDBMS) and Data Flow Development. 

We are looking for a hands-on Lead/ Senior DevOps Engineer to raise the bar for our DevOps practice, mentor the team, and help evolve our DevOps function into a modern, product-minded Platform Engineering capability. You’ll lead day-to-day work, partnering closely with Dunnhumby leadership, and drive high-quality outcomes across infrastructure-as-code, CI/CD, observability, and developer experience. You’ll collaborate directly with software teams and treat platforms as products—anchored by user feedback, clear roadmaps, SLOs, and measurable improvements to delivery speed and reliability.

Our Toolset: (you don’t need all, but you can lead with most)

What You'll Do

• Lead and mentor a small team of DevOps engineers in IST, providing day-to-day guidance, pairing, and structured growth plans.
• Partner with product and engineering teams to help deliver a platform-as-product: contributing to clear roadmaps, customer feedback loops, SLOs, and well-documented golden paths.
• Own cloud infrastructure (GCP, some Azure) using infrastructure-as-code (Terraform).
• Design, standardize, and continuously improve CI/CD pipelines in GitLab, and facilitate migrations from TeamCity and Octopus Deploy.
• Establish and scale GitOps practices with Argo CD; champion progressive delivery and environment promotion strategies.
• Strengthen observability with actionable dashboards and alerts in Grafana; drive SLO/error-budget thinking and operational reviews.
• Improve security posture across the SDLC (secrets management, image/package governance, artifact hygiene, SAST/DAST reporting via SonarQube).
• Facilitate excellent cross-time-zone communication and handovers; set up crisp status updates, docs, and runbooks in Confluence.
• Influence architecture and reliability decisions (Kubernetes, networking, IAM, cost management) with a bias for automation and sustainability.
• Contribute hands-on: code reviews, IaC modules, pipeline templates, and reference implementations.

What You'll Bring

• 8+ years in DevOps / SRE / Platform Engineering with hands-on delivery in cloud-native environments.
• Proven leadership: experience in line management and mentoring/coaching across teams without formal authority.
• Strong communication: clear written and verbal communication with engineers, stakeholders, and leadership across time zones.
• Deep experience with GCP (preferred) and working knowledge of Azure; strong grounding in Kubernetes, networking, IAM, and security fundamentals.
• Mastery of infrastructure-as-code (Terraform) and configuration management (Helm); excellent scripting in Bash and at least one higher-level language (Python/Go/etc.).
• Fluency with CI/CD design and operations using GitLab, TeamCity, and Octopus; artifact and dependency management via Artifactory.
• Operational excellence mindset: incident management, post-incident reviews, runbooks, SLOs, and data-driven improvement via DORA/SDLC metrics.
• Track record of building developer-centric platforms, internal documentation, enablement materials, and golden paths.
• Relevant certifications that demonstrate depth (e.g., Google Professional Cloud DevOps Engineer / Architect, CKA/CKAD/CKS, Azure Administrator/DevOps Engineer Expert).

Nice to Have

• Experience modernizing a traditional Cloud/Infra team into a product-oriented Platform Engineering practice.
• Background with GitOps policy/guardrails, environment promotion, and release orchestration at scale.
• Exposure to cost optimization and FinOps practices in GCP/Azure.
• Hands-on with self-hosted GitLab Premium administration at enterprise scale.
• Pragmatic, outcome-focused delivery with a product mindset and high empathy for developers as customers.

Job Description

 PayPay is looking for a Cloud Infrastructure Engineer for PayPay's Cloud Based payment system. This role will be responsible for the engineering of Cloud Infrastructure Platforms to provide robust, reliable and cost-efficient Platform so that we can deliver the best experience for our growing customers base.

Primary Responsibilities

• Architect and build a robust, scalable and stable infrastructure
• Architect and build Infrastructure that is easily maintainable during patching and upgrades without downtime
• Architect and build Infrastructure with AWS regional level failure tolerance
• Work together with our Security Engineers to provision a secure Infrastructure
• Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers
• Provide through Automations means for developers to easily deploy resources on AWS

Tech Stack

• AWS:
  • VPC, EC2, ECS, EKS, Lambda, Cloudfront, MWAA, RDS, ElastiCache, DynamoDB, Opensearch, S3, CloudWatch, Cognito, SQS, KMS, Secret Manager, KMS, MSK, SES, Transfer Family, ClientVPN, Shield, WAF, GuardDuty, IAM Identity Center, Organization, WorkSpaces, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation and other services
• Terraform, Github Actions, Prometheus, Grafana, Atlantis, ArgoCD, OpenTelemetry, Wiz, Backstage

Qualifications

• Looking 9+ years of technical and architectural experience in AWS-based infrastructure platforms
• Extensive technical hands-on experience with computing, networking, storage, and analytical services on Latest AWS Services
• Experience with Terraform based infrastructure as code (IAC) on AWS
• Experience in production level infrastructure change management and releases for high traffic & business-critical systems
• Experience in Cloud infrastructure and platform systems availability, performance and cost management
• Experience as an AWS administrator, including Multi AWS organization management, managing 50+ AWS accounts and 100+ users
• Strong understanding of cloud security best practices in Fintech Industry
• Demonstrated skill in programming and scripting languages, including Python, Shell Scripting, Go, and Rust
• Excellent oral, written, and interpersonal communication skills
• Proficiency in either English or Japanese

Preferred Qualifications

• Certified at the AWS Professional or Specialty level
• Experience in payment industry compliance standards such as PCI DSS 
• Bachelor’s degree and above in a Computer Science related field
• Experience with other cloud service providers (e.g GCP, Azure)
• Experience with Kubernetes (CKA, CKAD or CKS)
• Experience in AI/ML infrastructure design and operations
• ​​Experience using and contributing to Open Source tools
• Published papers / blogs / articles
• Bilingual in English and Japanese is nice to have, but not required
• JLPT Level 3 or above
• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

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.
　　　

Overview:  The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level.  This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.

Duties and Responsibilities:

• Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
• Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
• Document and estimate technical scope and design as needed;
• Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
• Involve and drive a culture of collaborative reviews of designs, code and test plans;
• Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
• DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
• Solve complex data issues and perform root cause analysis;
• Work across teams to resolve operational & performance issues;
• Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
• Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
• Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
• Strong experience using managed services and Infrastructure as a service;
• Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
• Strong programming experience in Python and Java/Scala preferred;
• Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
• Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
• Strong familiarity with healthcare data formats including EDI and FHIR;
• Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
• Experience building microservices and event-based architectures;
• Experience with AWS Security Architecture including IAM, Security groups and policies;
• Hands on experience with Terraform and/or cloud formation;
• Experience building CI/CD pipelines in public cloud and creating a culture of automation;
• Experience leading and mentoring junior engineers;
• Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
• Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
• Prior Experience in migration of applications to AWS;
• Excellent oral and written communication skills;
• Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
• Extensive knowledge of existing industry standards, technologies, and operational norms;
• An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
• Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.

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).
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:  The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level.  This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.

Duties and Responsibilities:

• Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
• Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
• Document and estimate technical scope and design as needed;
• Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
• Involve and drive a culture of collaborative reviews of designs, code and test plans;
• Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
• DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
• Solve complex data issues and perform root cause analysis;
• Work across teams to resolve operational & performance issues;
• Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
• Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
• Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
• Strong experience using managed services and Infrastructure as a service;
• Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
• Strong programming experience in Python and Java/Scala preferred;
• Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
• Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
• Strong familiarity with healthcare data formats including EDI and FHIR;
• Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
• Experience building microservices and event-based architectures;
• Experience with AWS Security Architecture including IAM, Security groups and policies;
• Hands on experience with Terraform and/or cloud formation;
• Experience building CI/CD pipelines in public cloud and creating a culture of automation;
• Experience leading and mentoring junior engineers;
• Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
• Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
• Prior Experience in migration of applications to AWS;
• Excellent oral and written communication skills;
• Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
• Extensive knowledge of existing industry standards, technologies, and operational norms;
• An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
• Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.

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).
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.