At Anaplan, we optimise business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. We reward the innovators who power it. 

At Anaplan, you will be a part of a team of innovators focused on optimising business decision-making through our leading scenario planning and analysis platform. 

You’ll be inspired that the work you do every day helps us become a category-defining company. You’ll be connected to a talented and diverse team, with whom you’ll collaborate to execute our strategy. You’ll be developed to accomplish ambitious goals and then rewarded when those goals are achieved. 

The Role 

The Core Performance engineering team is looking for a junior software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform. 

Who are you? 

• A Strong Engineer: You love engineering, and learning about engineering 

• You care about quality: You care about the quality of your code, and you have a passion for performance of your code as well as the platform as a whole 

• Thirst for knowledge: You have a hunger for knowledge 

• Quick learner: You pick up concepts quickly, and enjoy reading up on those concepts and pairing with others to learn more 

• Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility. 

Your Qualifications 

• Experience: 2-4 years of professional software engineering or equivalent. 

• Delivery: A track record of contributing to complex projects. 

• DevOps: Experience creating and maintaining automated testing, preferably performance testing and the CICD tooling to support it 

Tech we use 

• Java: We write many of our performance tests in Java, that compiles into jMeter 

• jMeter: We performance test in jMeter 

• Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our "Core Server" delivery 

• Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customers 

Culture 

As well as joining a passionate team, you’ll be part of the wider Anaplan engineering community in our Gurugram office. You’ll find yourself among peers who support one another’s careers and work together to build a winning culture. Many of our leading engineers started at the same level you’re applying for — and grew into leadership roles with the backing of this community. We’ll give you the same support to take your career wherever you want it to go. 

Our Diversity and Inclusion Commitment 

Build your job in a place that thrives on diversity, inclusion and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! 

Fraud Recruitment Disclaimer: 

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

Anaplan does not: 

1. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. 

1. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. 

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

Senior Software Engineer, Experience Engineering

The Role

Anaplan is looking for a Senior Full Stack Software Engineer to join our Experience Engineering workstream. You will be a founding member of a new team dedicated to building our world class User Experience. You will work alongside other talented engineers to build and ship award-winning planning technology, that is helping people and companies around the world every day to make better-informed plans and decisions.

We are looking for an exceptional and passionate Senior Engineer who believes in simplicity, agility, and performance. In this role, you will architect systems, build tools, and establish best practices that enable Anaplan to deliver a seamless, intuitive experience to all our customers.

Your Impact

• Be part of a well-balanced, cross functional team, delivering exceptional software.
• Be driven by the customer, everything you do is to solve a problem for our users or to enable us to solve problems for users more effectively/sustainably.
• Working closely with product to deliver customer delighting experiences and platforms innovations.
• Actively practice continuous integration and deployment and proactively contribute improvements to the way these are done.
• Work within an agile development process and thrive in an environment that promotes high levels of autonomy and accountability.
• Write tests at every level of the testing pyramid to ensure the quality of your work is good to go to production every time we build.
• Apply your experience across the full stack as necessary. We recognise specialisms whilst valuing open-minded people who will step out of their comfort zone to complete their work and expand their skill set.
• Good attention to detail - you will create applications which solve significant problems for our users, this drives you more so than anything.

Your Skills

• Excellent problem-solving skills and the ability to craft well-architected, scalable, and easy-to-maintain systems.
• A robust toolkit of design pattern, and the ability to choose the right one to apply to each problem, making use of SOLID principles.
• A track record of delivering complex solutions using JavaScript (ES2015+), HTML, and CSS.
• Expertise with TypeScript and React.
• Experience writing back-end services using a JVM language (e.g. Java, Kotlin, Spring Boot), or similar.
• A good understanding of deployment tools and technologies, including Docker, Kubernetes, and Terraform.
• Needs the capability to collaborate with and lead others, communicating ideas clearly, influence their thinking, or making difficult decisions in delicate situations, all while maintaining the integrity of the relationship.

We know that great talent comes from a variety of backgrounds, and we encourage you to apply even if your experience doesn't perfectly match every qualification on this list.

Languages and Technologies You’ll Work With

• Front-End: React, TypeScript, CSS, Redux, Jest, Vite, Enzyme, Cypress.
• Back-End: Java, Kotlin, Spring Framework, MySQL
• Infrastructure & DevOps: Docker, Kubernetes, Jenkins, Git, Helm.

What We Offer

• A role at the heart of our global growth strategy.
• A team that embraces and respects diverse perspectives and isn't afraid to push boundaries.
• The opportunity to build exceptional software, delighting our customers, and transforming the face of business strategy software.

Principal Software Engineer, Experience Engineering

The Role

Anaplan is looking for a Principal Full Stack Software Engineer to join our Experience Engineering workstream. You will be a founding member of a new team dedicated to building our world class User Experience. You will work alongside other talented engineers to build and ship award-winning planning technology, that is helping people and companies around the world every day to make better-informed plans and decisions.

We are looking for an exceptional and passionate Principal Engineer who believes in simplicity, agility, and performance. In this role, you will architect systems, build tools, and establish best practices that enable Anaplan to deliver a seamless, intuitive experience to all our customers.

Your Impact

• Be part of a well-balanced, cross functional team, delivering exceptional software.
• Be driven by the customer, everything you do is to solve a problem for our users or to enable us to solve problems for users more effectively/sustainably.
• Working closely with product to deliver customer delighting experiences and platforms innovations.
• Actively practice continuous integration and deployment and proactively contribute improvements to the way these are done.
• Work within an agile development process and thrive in an environment that promotes high levels of autonomy and accountability.
• Write tests at every level of the testing pyramid to ensure the quality of your work is good to go to production every time we build.
• Apply your experience across the full stack as necessary. We recognise specialisms whilst valuing open-minded people who will step out of their comfort zone to complete their work and expand their skill set.
• Good attention to detail - you will create applications which solve significant problems for our users, this drives you more so than anything.

Your Skills

• Excellent problem-solving skills and the ability to craft well-architected, scalable, and easy-to-maintain systems.
• A robust toolkit of design pattern, and the ability to choose the right one to apply to each problem, making use of SOLID principles.
• A track record of delivering complex solutions using JavaScript (ES2015+), HTML, and CSS.
• Expertise with TypeScript and React.
• Experience writing back-end services using a JVM language (e.g. Java, Kotlin, Spring Boot), or similar.
• A good understanding of deployment tools and technologies, including Docker, Kubernetes, and Terraform.
• Needs the capability to collaborate with and lead others, communicating ideas clearly, influence their thinking, or making difficult decisions in delicate situations, all while maintaining the integrity of the relationship.

We know that great talent comes from a variety of backgrounds, and we encourage you to apply even if your experience doesn't perfectly match every qualification on this list.

Languages and Technologies You’ll Work With

• Front-End: React, TypeScript, CSS, Redux, Jest, Vite, Enzyme, Cypress.
• Back-End: Java, Kotlin, Spring Framework, MySQL
• Infrastructure & DevOps: Docker, Kubernetes, Jenkins, Git, Helm.

What We Offer

• A role at the heart of our global growth strategy.
• A team that embraces and respects diverse perspectives and isn't afraid to push boundaries.
• The opportunity to build exceptional software, delighting our customers, and transforming the face of business strategy software.

Software Engineer, Experience Engineering

The Role

Anaplan is looking for a Full Stack Software Engineer to join our Experience Engineering workstream. You will be a founding member of a new team dedicated to building our world class User Experience. You will work alongside other talented engineers to build and ship award-winning planning technology, that is helping people and companies around the world every day to make better-informed plans and decisions.

We are looking for an exceptional and passionate engineer who believes in simplicity, agility, and performance. In this role, you will architect systems, build tools, and establish best practices that enable Anaplan to deliver a seamless, intuitive experience to all our customers.

Your Impact

• Be part of a well-balanced, cross-functional team, delivering exceptional software.
• Be driven by the customer, everything you do is to solve a problem for our users or to enable us to solve problems for users more effectively/sustainably.
• Working closely with product to deliver customer delighting experiences and platforms innovations.
• Actively practice continuous integration and deployment and proactively contribute improvements to the way these are done.
• Work within an agile development process and thrive in an environment that promotes high levels of autonomy and accountability.
• Write tests at every level of the testing pyramid to ensure the quality of your work is good to go to production every time we build.
• Apply your experience across the full stack as necessary. We recognise specialisms whilst valuing open-minded people who will step out of their comfort zone to complete their work and expand their skill set.
• Good attention to detail - you will create applications which solve significant problems for our users, this drives you more so than anything.

Your Skills

• Excellent problem-solving skills and the ability to craft well-architected, scalable, and easy-to-maintain systems.
• A robust toolkit of design pattern, and the ability to choose the right one to apply to each problem, making use of SOLID principles.
• Solid core understanding of JavaScript (ES2015+), HTML, and CSS.
• Proficiency with TypeScript and React.
• Experience writing back-end services using a JVM language (e.g. Java, Kotlin, Spring Boot), or similar.
• An understanding of deployment tools and technologies, including Docker, Kubernetes, and Terraform.
• Needs the capability to collaborate with others, communicating ideas clearly, influence their thinking, or secure their acceptance in delicate situations, all while maintaining the integrity of the relationship.

We know that great talent comes from a variety of backgrounds, and we encourage you to apply even if your experience doesn't perfectly match every qualification on this list.

Languages and Technologies You’ll Work With

• Front-End: React, TypeScript, CSS, Redux, Jest, Vite, Enzyme, Cypress.
• Back-End: Java, Kotlin, Spring Framework, MySQL
• Infrastructure & DevOps: Docker, Kubernetes, Jenkins, Git, Helm.

What We Offer

• A role at the heart of our global growth strategy.
• A team that embraces and respects diverse perspectives and isn't afraid to push boundaries.
• The opportunity to build exceptional software, delighting our customers, and transforming the face of business strategy software.

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

Roles and Responsibilities 

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

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

What you’ll need to succeed in the role

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

About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

You will implement, and operate highly available, scalable cloud infrastructure across a multi-account AWS environment. Working closely with Engineering and Platform and Service Management teams, you will improve system reliability, performance, and operational efficiency while enabling teams to deploy and operate services safely at scale.

You will play a key role in building resilient platforms, improving observability, automating operations, and strengthening incident response practices to ensure critical services remain reliable and performant.

Key Responsibilities

• Build, and maintain secure CI/CD pipelines using CircleCI, embedding security controls and automated checks throughout the SDLC.
• Manage and secure AWS multi-account environments, including IAM, networking, logging, and guardrails aligned with least-privilege and zero-trust principles.
• Implement and operate cloud-native workloads using ECS and AWS Lambda, supporting services written in TypeScript OR Python.
• Integrate Snyk for dependency, container, and code scanning across repositories and pipelines.
• Operational support on Cloudflare for DNS, WAF, DDoS protection, and edge security controls.
• Establish monitoring, alerting, and observability using New Relic, including security-relevant metrics and dashboards.
• Collaborate with Security and Compliance teams to support audits, vulnerability management, and risk remediation.
• Support incident response, root cause analysis, and post-incident improvements related to security or pipeline failures.
• Continuously identify opportunities to improve automation, security posture, reliability, and developer experience.

About You

• Strong experience in AWS environments 4 - 5 Years of experience, preferably with multiple accounts and production-scale workloads.
• Hands-on experience with CI/CD platforms such as CircleCI and GitHub Actions.
• Solid understanding of cloud security fundamentals, including IAM, network security, secrets management, and logging.
• Familiarity with containerized and serverless architectures (ECS, Lambda).
• Proficiency in TypeScript and/or Python for automation, tooling, or backend services.
• Experience working with observability tools such as New Relic and good understanding of SLO, SLI, SLA.
• Strong collaboration and communication skills, with the ability to influence engineering teams.
• Ready to participate in 24x7 production support for mission critical applications.

Desirable

• Hands-on experience with Cloudflare or a similar CDN/WAF (WAF rules, DNS, security policies) technology.
• Familiarity with infrastructure-as-code tools (e.g., Terraform, CDK, or CloudFormation).
• Experience supporting or working with internal developer platforms or in-house tooling.
• Background in SRE, DevOps, or CloudOps roles.

#LI-Hybrid 

Job Summary:

The Service Delivery Associate will be responsible for supporting IT service management processes, ensuring smooth operations, and contributing to continuous service improvement for various TEG Business Units - Economist Intelligence, Economist Impact and Economist Newspaper. This role involves assisting with Incident, Problem, Change, and Service Request management, working closely with IT, DevOps, Engineering, Product, Project, Support teams, Vendors and stakeholders to maintain high service quality and efficiency.

Key Responsibilities:

Service Management & Operations:

• Assist in managing ITSM processes, including Major Incident, Incident, Service Request, Problem, Change, and Request Management.
• Ensure compliance with ITIL best practices and organizational policies.
• Support service level agreements (SLAs) and internal OLAs.
• Monitor ITSM tool (JIRA, Confluence, ServiceNow, etc) usage and ensure accurate documentation of incidents and requests.
• ITSM Process Documentation for Digital Products & Services
• Contribute to delivering our service management strategy
• Build strong relationships with engineers and business stakeholders
• Support the transition of new services and features into BAU support

Major Incident Management:

• Responsible for overseeing and resolving high-priority IT incidents that significantly impact business operations. 
• Coordinate response efforts, engage relevant teams, communicate updates to stakeholders, and drive rapid resolution to minimize downtime. 
• Analyze incidents to identify root causes and implement preventive measures to reduce future risks.

Incident, Service Requests & Problem Management:

• Assist in triaging, tracking and resolving IT incidents, Service Requests & Problems.
• Take ownership of ticket queues, manage aging and keep daily churn healthy
• Work with technical teams to perform root cause analysis and implement preventive measures.
• Maintain incident records and generate reports for performance analysis.

Change & Release Management:

• Support change management processes, documentation and workflows as needed
• Assist in coordinating planned system changes and evaluating their impact.
• Monitor post-change performance to ensure minimal disruption to services.

Continuous Service Improvement:

• Identify areas for improvement in ITSM processes and suggest enhancements.
• Support automation initiatives and efficiency improvements in IT service delivery.
• Assist in gathering and analyzing service performance data.
• Contribute to reporting and the development of service dashboards
• Support the use of automation and AI to streamline processes 

Stakeholder & Communication Management:

• Act as a point of contact for IT service-related queries and escalations.
• Collaborate with IT teams and business stakeholders to ensure service alignment.
• Participate in service review meetings and contribute to reporting activities.

Qualifications & Skills:

Education & Experience:

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• 3 to 6 years of experience in IT service management, help desk, or technical support
• Hands-On Experience with ITSM tools like ServiceNow, BMC Remedy, Confluence, Jira Service Management (Atlassian Suite), etc

Technical Skills:

• Thorough understanding of ITIL principles and IT service management frameworks.
• Familiarity with IT operations, cloud services, and enterprise IT environments.
• Proficiency in ITSM tools and ticketing systems (ServiceNow, Jira, Salesforce, etc)

Desirable:

• Understanding/skills in Observability & monitoring tools (NewRelic)
• Understanding/skills in subscription & payments (Zuora, Salesforce, Cybersource etc)
• Understanding of Content Management systems
• Understanding of DW/BI, AI/ML 

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and manage multiple priorities.
• Detail-oriented with strong organizational skills.

Preferred Certifications:

• ITIL Foundation Certification
• ServiceNow Certified System Administrator (preferred but not required).
• Fundamentals of Jira, Confluence, other ITSM tools

#LI-Hybrid 

Experience: 5+ years of relevant experience

WHY I DO MY JOB? | Job Purpose.

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

WHAT I DO? | Key Accountabilities.

Data Science & Distributed Engineering

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

Data Science Platform & Cloud Enablement

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

Infrastructure, CI/CD & Automation

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

Engineering Quality & Governance

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

Collaboration & Technical Leadership

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

HOW I DO MY JOB? | Qualifications.

Experience

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

Core Technical Skills

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

Cloud & Platform Expertise

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

DevOps & Infrastructure

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

Software & Systems Engineering

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

Leadership & Mindset

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

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.

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. 

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

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

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

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

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

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

What will you be doing?

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

What would you need to be successful in the role?

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

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

At Anaplan, we optimise business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. We reward the innovators who power it. 

At Anaplan, you will be a part of a team of innovators focused on optimising business decision-making through our leading scenario planning and analysis platform. 

You’ll be inspired that the work you do every day helps us become a category-defining company. You’ll be connected to a talented and diverse team, with whom you’ll collaborate to execute our strategy. You’ll be developed to accomplish ambitious goals and then rewarded when those goals are achieved. 

The Role 

The Core Performance engineering team is looking for a junior software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform. 

Who are you? 

• A Strong Engineer: You love engineering, and learning about engineering 

• You care about quality: You care about the quality of your code, and you have a passion for performance of your code as well as the platform as a whole 

• Thirst for knowledge: You have a hunger for knowledge 

• Quick learner: You pick up concepts quickly, and enjoy reading up on those concepts and pairing with others to learn more 

• Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility. 

Your Qualifications 

• Experience: 2-4 years of professional software engineering or equivalent. 

• Delivery: A track record of contributing to complex projects. 

• DevOps: Experience creating and maintaining automated testing, preferably performance testing and the CICD tooling to support it 

Tech we use 

• Java: We write many of our performance tests in Java, that compiles into jMeter 

• jMeter: We performance test in jMeter 

• Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our "Core Server" delivery 

• Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customers 

Culture 

As well as joining a passionate team, you’ll be part of the wider Anaplan engineering community in our Gurugram office. You’ll find yourself among peers who support one another’s careers and work together to build a winning culture. Many of our leading engineers started at the same level you’re applying for — and grew into leadership roles with the backing of this community. We’ll give you the same support to take your career wherever you want it to go. 

Our Diversity and Inclusion Commitment 

Build your job in a place that thrives on diversity, inclusion and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! 

Fraud Recruitment Disclaimer: 

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

Anaplan does not: 

1. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. 

1. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. 

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

At Anaplan, we optimise business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. We reward the innovators who power it. 

At Anaplan, you will be a part of a team of innovators focused on optimising business decision-making through our leading scenario planning and analysis platform. 

You’ll be inspired that the work you do every day helps us become a category-defining company. You’ll be connected to a talented and diverse team, with whom you’ll collaborate to execute our strategy. You’ll be developed to accomplish ambitious goals and then rewarded when those goals are achieved. 

The Role 

The Core Performance engineering team is looking for a junior software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform. 

Who are you? 

• A Strong Engineer: You love engineering, and learning about engineering 

• You care about quality: You care about the quality of your code, and you have a passion for performance of your code as well as the platform as a whole 

• Thirst for knowledge: You have a hunger for knowledge 

• Quick learner: You pick up concepts quickly, and enjoy reading up on those concepts and pairing with others to learn more 

• Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility. 

Your Qualifications 

• Experience: 2-4 years of professional software engineering or equivalent. 

• Delivery: A track record of contributing to complex projects. 

• DevOps: Experience creating and maintaining automated testing, preferably performance testing and the CICD tooling to support it 

Tech we use 

• Java: We write many of our performance tests in Java, that compiles into jMeter 

• jMeter: We performance test in jMeter 

• Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our "Core Server" delivery 

• Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customers 

Culture 

As well as joining a passionate team, you’ll be part of the wider Anaplan engineering community in our Gurugram office. You’ll find yourself among peers who support one another’s careers and work together to build a winning culture. Many of our leading engineers started at the same level you’re applying for — and grew into leadership roles with the backing of this community. We’ll give you the same support to take your career wherever you want it to go. 

Our Diversity and Inclusion Commitment 

Build your job in a place that thrives on diversity, inclusion and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! 

Fraud Recruitment Disclaimer: 

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

Anaplan does not: 

1. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. 

1. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. 

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

About the role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Acquisition Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

About the Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

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

What you’ll be doing

• Sales strategy and execution: Develop and implement strategic sales plan to achieve revenue goals in the Public Sector with strong focus in Defence, Home Affairs, Paramilitary Forces
• Relationship management: Build and maintain strong, long-term relationships with key Government Stakeholders - Senior Government Officials, Consultants, GSIs and Partners
• Business development: Identify new opportunities, generate leads, and pursue new government clients while also expanding business with existing ones
• Tender and proposal management: Work closely with Government Departments to make sure MongoDB is part of Tech Stack in tenders. Also to Monitor and respond to government tenders, RFPs, and RFQs, coordinating with internal teams to ensure timely and accurate proposal submissions
• Sales cycle management: Lead the sales process from lead generation and qualification through to contract negotiation and closure
• Performance and reporting: Set sales targets, monitor sales performance metrics, analyse market trends, and provide regular reports on activities and forecasts to senior management
• Internal collaboration: Work with internal teams, such as solution architects and delivery teams, to ensure seamless execution from contract award to delivery
• Internal Development: Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

What you will bring to the table

• BE/Tech/BCA/BS (Computers) required
• 10+ years of field experience of quota-carrying experience in Public Sector with a focus on new business
• Demonstrated ability to articulate the business value of complex enterprise technology in Public Sector Accounts
• A track record of overachievement and hitting sales targets annually
• Skilled in building business champions within Government Accounts and running a complex sales process within Government Ministries and Departments
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, devops and open source technology is 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[1] 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

Why join now

• MongoDB invests heavily in the development of each of our new hires & continuous career development
• Accelerators up to 30%
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture - Learn more about what it’s like to work at MongoDB

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 - 3263283618

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

About the Role:

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

What you’ll be spending your time on

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

Have you done this kind of stuff?

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

Not a must but a great advantage

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

#LI-PG1

We're looking for a Seasoned Engineering Leader/ Engineering Manager to lead and build higher-performing teams with a drive for excellence and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.

Responsibilities:

• Collaborate closely with Product, Design/UX, DevOps, and other R& D teams.
• Lead an autonomous team of software engineers who are working closely with product management to achieve business goals.
• Put special focus on developing the team.
• Provide technical authority to your team by demonstrating a hands-on leadership style.
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team.

Requirements:

• 7 + years of experience as a software technocrat,using C#, Nodejs or any OOP Language, REST APIs, webhooks, and asynchronous communication with Queues/Streams (RabbitMQ and Kafka).
• 2+ years of experience with observability systems (Dynatrace, Grafana, etc. )
• 2+ years of managerial experience, leading development of customer-facing products- a must!
• Experience with messaging queues or streams such as RabbitMQ/SQS/Kafka.
• Broad knowledge of OOP and design patterns.
• Experience with Microservices.
• Experience in engineering best practices (writing unit tests, code reviews, testing coverage, agile methodologies).
• Team player attitude and mentality.
• Experienced and passionate about managing and growing people.
• Ambitious and eager to learn new things.

Not a must, but a great advantage:

• Experience with Redis or similar.
• Experience with ORM such as Entity Framework.
• Experience in building SaaS platforms in a cloud-based/hybrid environment.

Business Unit Intro

Our team of 200 colleagues is at the heart of The Economist Group’s digital-first agenda. Together, we are delivering user-friendly, high-quality digital products that bring data, intelligence and analysis to our growing global audiences across all our four businesses.

Our team develops cutting-edge products that provide valuable insights and analysis to business and government leaders worldwide. Whether it involves creating new products for the Economist Intelligence Unit (EIU), conceptualising mobile applications that deliver personalised content, or enhancing our flagship website, economist.com, the Technology team plays a crucial role in shaping how we attract, convert, engage, and retain our 1.2 million subscribers.

The Technology team collaborates closely with other teams to engineer innovative solutions that cater to the evolving needs of our subscribers. This includes leveraging advanced technologies and methodologies to enhance the acquisition of new subscribers, optimise conversion rates, deliver engaging user experiences, and ensure long-term subscriber loyalty.

Job Description

The role:

We are looking for a Natural Language Processing (NLP) Engineer to join our Economist Group engineering team. Your primary focus will be to design, develop, ship, maintain and oversee the relevant architecture of our Economist.com and EIU platforms - with a focus on systems related to our customer facing products. The initial focus will be around implementing appropriate data infrastructure required to enable predictive analytics, ML algorithms, and Generative AI applications, and in conjunction with the Head of AI and Data Engineering support the organisation to implement their vision. You’ll also work with individuals from our corporate data team (responsible for reporting, analytics and insights), as well as work collaboratively with data scientists and analysts in other teams across the organisation.

The role will suit either a mid-level NLP Engineer, or even an AI or ML Engineer ready for their next challenge, but with at least some experience leading or mentoring a high performing team. You should enjoy working with autonomy in a creative and entrepreneurial environment, and have a strong commitment to producing high quality solutions. We offer flexible working and have recently shifted to a 'remote first' working policy with a minimum expectation of coming to the office two days a month, however you can come in more often if you wish to.

How you will contribute in this role:

• Architecting, building and maintaining NLP processing pipelines / workflows in Python via technologies such as serverless functions, Airflow, MLflow, or other.
• Working with Data Engineers and Data Scientists to automate experiments that bring ML and NLP research ideas to production.
• Fine Tuning and consuming Large Language Models (LLM) directly or via third party Generative AI API services.
• Setting up Retrieval Augmented Generation (RAG) architectures, prompt engineering, and Reinforcement Learning from Human Feedback (RLHF) processes.
• Implement MLOps and related DevOps focused on LLMs deployed in cloud-native environments.
• Support, optimise and transition our current processes to ensure well architected implementations and best practices.
• Work in an agile environment within a collaborative agile product team using Kanban
• Collaborate across departments and work closely with data science teams and with business (economists/data) analysts in refining their data requirements for various initiatives and data consumption requirements.
• Participate in designing and building NLP pipelining and choosing data processing techniques, which make it easier for them to integrate and consume data needed for various use cases.
• Participate in ensuring compliance and governance during model use, to ensure that the users and consumers use the resources provisioned to them responsibly through data governance and compliance initiatives.

What we’re looking for:

• Overall 6+ years of experience and atleast 4+ years of professional experience with NLP used in large scale digital applications.
• Extensive experience with programming in Python and Jupyter notebooks.
• Professional experience of designing, building and managing bespoke NLP solutions in cloud environments.
• Experience in building NLP solutions while consuming LLMs, either directly from third party APIs or directly from repositories such as Hugging Face.
• Fundamental technical expertise in cloud-native technologies, such as AWS Lambda, API Gateway, SageMaker Studio, Amazon ECR, Cloud Formation, or equivalent.
• Experience in leading / mentoring NLP / ML engineering teams.
• Familiarity in working in teams with data scientists and data engineers, for building automated pipelines for model building, deployment and monitoring.
• An advanced degree in computer science, information science, data science, linguistics, or a related quantitative field or equivalent work experience.
• Strong verbal and written communication skills and ability to work well with a wide range of stakeholders.
• Strong ownership, scrappy and biassed for action.

#LI-Hybrid 

Business Unit Intro

Our team of 200 colleagues is at the heart of The Economist Group’s digital-first agenda. Together, we are delivering user-friendly, high-quality digital products that bring data, intelligence and analysis to our growing global audiences across all our four businesses.

Our team develops cutting-edge products that provide valuable insights and analysis to business and government leaders worldwide. Whether it involves creating new products for the Economist Intelligence Unit (EIU), conceptualising mobile applications that deliver personalised content, or enhancing our flagship website, economist.com, the Technology team plays a crucial role in shaping how we attract, convert, engage, and retain our 1.2 million subscribers.

The Technology team collaborates closely with other teams to engineer innovative solutions that cater to the evolving needs of our subscribers. This includes leveraging advanced technologies and methodologies to enhance the acquisition of new subscribers, optimise conversion rates, deliver engaging user experiences, and ensure long-term subscriber loyalty.

Job Description

The role:

We are looking for a Natural Language Processing (NLP) Engineer to join our Economist Group engineering team. Your primary focus will be to design, develop, ship, maintain and oversee the relevant architecture of our Economist.com and EIU platforms - with a focus on systems related to our customer facing products. The initial focus will be around implementing appropriate data infrastructure required to enable predictive analytics, ML algorithms, and Generative AI applications, and in conjunction with the Head of AI and Data Engineering support the organisation to implement their vision. You’ll also work with individuals from our corporate data team (responsible for reporting, analytics and insights), as well as work collaboratively with data scientists and analysts in other teams across the organisation.

The role will suit either a mid-level NLP Engineer, or even an AI or ML Engineer ready for their next challenge, but with at least some experience leading or mentoring a high performing team. You should enjoy working with autonomy in a creative and entrepreneurial environment, and have a strong commitment to producing high quality solutions. We offer flexible working and have recently shifted to a 'remote first' working policy with a minimum expectation of coming to the office two days a month, however you can come in more often if you wish to.

How you will contribute in this role:

• Architecting, building and maintaining NLP processing pipelines / workflows in Python via technologies such as serverless functions, Airflow, MLflow, or other.
• Working with Data Engineers and Data Scientists to automate experiments that bring ML and NLP research ideas to production.
• Fine Tuning and consuming Large Language Models (LLM) directly or via third party Generative AI API services.
• Setting up Retrieval Augmented Generation (RAG) architectures, prompt engineering, and Reinforcement Learning from Human Feedback (RLHF) processes.
• Implement MLOps and related DevOps focused on LLMs deployed in cloud-native environments.
• Support, optimise and transition our current processes to ensure well architected implementations and best practices.
• Work in an agile environment within a collaborative agile product team using Kanban
• Collaborate across departments and work closely with data science teams and with business (economists/data) analysts in refining their data requirements for various initiatives and data consumption requirements.
• Participate in designing and building NLP pipelining and choosing data processing techniques, which make it easier for them to integrate and consume data needed for various use cases.
• Participate in ensuring compliance and governance during model use, to ensure that the users and consumers use the resources provisioned to them responsibly through data governance and compliance initiatives.

What we’re looking for:

• Overall 6+ years of experience and 4+ years of professional experience with NLP used in large scale digital applications.
• Extensive experience with programming in Python and Jupyter notebooks.
• Professional experience of designing, building and managing bespoke NLP solutions in cloud environments.
• Experience in building NLP solutions while consuming LLMs, either directly from third party APIs or directly from repositories such as Hugging Face.
• Fundamental technical expertise in cloud-native technologies, such as AWS Lambda, API Gateway, SageMaker Studio, Amazon ECR, Cloud Formation, or equivalent.
• Experience in leading / mentoring NLP / ML engineering teams.
• Familiarity in working in teams with data scientists and data engineers, for building automated pipelines for model building, deployment and monitoring.
• An advanced degree in computer science, information science, data science, linguistics, or a related quantitative field or equivalent work experience.
• Strong verbal and written communication skills and ability to work well with a wide range of stakeholders.
• Strong ownership, scrappy and biassed for action.

#LI-Hybrid 

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

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

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

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

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

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

What You Will Do at MongoDB

Infrastructure Management & Optimization

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

Security & Compliance

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

Automation & DevOps Excellence

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

Operational Support

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

As an Ideal Candidate, You Will Have

Required Experience

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

Technical Skills

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

Soft Skills

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

As an Ideal Candidate, You May Also Have

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

What You Will Learn

Technical Growth

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

Business Context

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

Location & Work Arrangement

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

Why Join Our Team

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

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273401871

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.

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 administration, platform governance, automation, and system operations, the team continuously enhances the Salesforce 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.

What you’ll do

• We are looking for a Senior Salesforce Administrator – CPQ & CLM to manage and enhance the Salesforce CRM system supporting MongoDB’s Sales organization
• Effectively work both autonomously and collaboratively across Salesforce platform administration, configuration, release support, security, and audit-related activities
• Work closely with Tech Leads, Program Managers, Developers, DevOps teams, and Business Stakeholders to understand requirements and deliver scalable declarative solutions
• Contribute across multiple functions including platform administration, CI/CD participation, release support, access governance, security improvements, and audit readiness
• Ensure appropriate controls, documentation, and governance practices are followed to maintain a strong and effective control environment

Responsibilities

• Administer, configure, and maintain the Salesforce platform, including users, roles, profiles, permission sets, sharing settings, page layouts, record types, and other core administrative functions
• Administer and support Salesforce CPQ and CLM processes, including product configuration, pricing rules, quote templates, approval workflows, contract generation, contract lifecycle workflows, and related business process automation
• Partner with Sales Operations, Revenue Operations, Deal Desk, Legal, and other business stakeholders to improve Quote-to-Cash and Contract Lifecycle Management processes
• Build and enhance Salesforce solutions using declarative tools such as Flows, Validation Rules, Approval Processes, Lightning App Builder, Dynamic Forms, and page layouts
• Support DevOps and CI/CD activities including deployment, validations, release readiness, environment coordination, and change migration across Salesforce environments
• Participate in audit processes by supporting evidence collection, validating controls, documenting configurations, and helping close identified gaps
• Maintain a strong understanding of Salesforce security architecture, including profiles, roles, permission sets, field-level security, object access, and sharing rules
• Support platform stability and day-to-day operational activities by troubleshooting issues, resolving user requests, and maintaining data integrity
• Partner with business stakeholders to understand requirements, improve processes, and recommend scalable platform solutions
• Maintain clear documentation for system configurations, release activities, controls, support procedures, and governance practices
• Research platform capabilities, best practices, and new Salesforce features to continuously improve system effectiveness and administration maturity

Minimum Requirements

• Bachelor’s degree in Computer Science, Information Systems, Business, or equivalent experience
• 6+ years of Salesforce Administration experience in a mid-to-large enterprise environment
• Salesforce Certified Platform Administrator, Salesforce Certified App Builder, Salesforce Certified Advanced Administrator, Salesforce Certified Sharing & Visibility Designer certifications are required
• Salesforce CPQ Specialist certification strongly preferred
• Familiarity with AI-powered and agentic tools such as Cursor, Claude Code, Agentforce, and similar platforms
• Experience with DevOps and CI/CD tools such as Copado, Gearset, Git-based deployment workflows, or similar tools
• Strong analytical, troubleshooting, communication, and collaboration skills

Success Measures

• In 3 months, you will have developed a strong understanding of MongoDB’s Salesforce platform, support model, security posture, release processes, and core business workflows by working closely with stakeholders and technical teams
• In 6 months, you will have independently delivered multiple configuration-based enhancements, actively contributed to release and DevOps activities, and started driving improvements in platform governance, security, and operational efficiency
• In 12 months, you will have become a trusted Salesforce platform owner who can confidently contribute across administration, declarative delivery, security reviews, audit readiness, and release support while helping strengthen the overall Salesforce operating model

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 : 1273405394

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

About the Role

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

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

Key Responsibilities

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

Qualifications

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

Success Measures

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

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

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

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

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

About MongoDB

The database market is massive, and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing applications that people use every day. We are the leading modern data platform and continue to innovate at scale to support our customers and internal teams with world-class systems and experiences.

About Team

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 administration, platform governance, automation, and system operations, the team continuously enhances the Salesforce 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.

What you’ll do

• We are looking for a Senior Salesforce Administrator to manage and enhance the Salesforce CRM system supporting MongoDB’s Sales organization.
• Effectively work both autonomously and collaboratively across Salesforce platform administration, configuration, release support, security, and audit-related activities.
• Work closely with Tech Leads, Program Managers, Developers, DevOps teams, and Business Stakeholders to understand requirements and deliver scalable declarative solutions.
• Contribute across multiple functions including platform administration, CI/CD participation, release support, access governance, security improvements, and audit readiness.
• Ensure appropriate controls, documentation, and governance practices are followed to maintain a strong and effective control environment.

Responsibilities

• Administer, configure, and maintain the Salesforce platform, including users, roles, profiles, permission sets, sharing settings, page layouts, record types, and other core administrative functions.
• Build and enhance Salesforce solutions using declarative tools such as Flows, Validation Rules, Approval Processes, Lightning App Builder, Dynamic Forms, and page layouts.
• Support DevOps and CI/CD activities including deployment, validations, release readiness, environment coordination, and change migration across Salesforce environments.
• Participate in audit processes by supporting evidence collection, validating controls, documenting configurations, and helping close identified gaps.
• Maintain a strong understanding of Salesforce security architecture, including profiles, roles, permission sets, field-level security, object access, and sharing rules.
• Support platform stability and day-to-day operational activities by troubleshooting issues, resolving user requests, and maintaining data integrity.
• Partner with business stakeholders to understand requirements, improve processes, and recommend scalable platform solutions.
• Maintain clear documentation for system configurations, release activities, controls, support procedures, and governance practices.
• Research platform capabilities, best practices, and new Salesforce features to continuously improve system effectiveness and administration maturity.

Minimum Requirements

• Bachelor’s degree in Computer Science, Information Systems, Business, or equivalent experience.
• 8+ years of Salesforce Administration experience in a mid-to-large enterprise environment.
• Salesforce Certified Platform Administrator, Salesforce Certified App Builder, Salesforce Certified Advanced Administrator, Salesforce Certified Sharing & Visibility Designer certifications are required.
• Familiarity with AI-powered and agentic tools such as Cursor, Claude Code, Agentforce, and similar platforms.
• Experience with DevOps and CI/CD tools such as Copado, Gearset, Git-based deployment workflows, or similar tools.
• Strong analytical, troubleshooting, communication, and collaboration skills.

Success Measures

• In 3 months, you will have developed a strong understanding of MongoDB’s Salesforce platform, support model, security posture, release processes, and core business workflows by working closely with stakeholders and technical teams.
• In 6 months, you will have independently delivered multiple configuration-based enhancements, actively contributed to release and DevOps activities, and started driving improvements in platform governance, security, and operational efficiency.
• In 12 months, you will have become a trusted Salesforce platform owner who can confidently contribute across administration, declarative delivery, security reviews, audit readiness, and release support while helping strengthen the overall Salesforce operating model.

Engineer 3, Business Systems (CPQ)

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

About Team

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

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

Role Overview

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

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

What you’ll do

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

Responsibilities

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

Minimum Requirements

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

Preferred Qualifications

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

Success Measures

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

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. 

We are excited to welcome a talented B2B Commerce Solution Architect  to our Revenue Solutions team. This role is pivotal in the successful end to end implementation of Salesforce Revenue Management projects at Neuraflash. You will combine your technical expertise with solution design skills to create scalable, efficient, and secure Salesforce solutions that align with the business requirements of our clients, as well as create reusable assets to be deployed to multiple clients. This may involve owning portions of the design, or supporting the Solution Architect. By leveraging B2B Commerce technologies within Salesforce, streamline operational processes, and deliver scalable, impactful solutions.

Our team is committed to building a best-in-class organization. In this role, you will have the opportunity to contribute meaningfully while collaborating with a dynamic group of colleagues, innovative clients, and trusted partners, including Salesforce and AI teams. 

RESPONSIBILITIES:

• Lead business process discovery sessions to define scalable, enterprise-grade Salesforce solutions aligned to customer objectives
• Own end-to-end solution architecture across Salesforce platforms (Service Cloud, Order Management, Commerce, Consumer Goods Cloud), ensuring alignment to best practices and long-term scalability
• Define and govern solution design, including data models, integrations, and system architecture, to support complex business requirements
• Provide architectural oversight throughout the full delivery lifecycle (design, build, test, deploy, and post-go-live), ensuring quality and consistency
• Drive UX and solution design strategy to deliver intuitive, efficient, and scalable user experiences
• Act as the primary technical authority and strategic advisor to both client stakeholders and internal delivery teams
• Translate business requirements into scalable technical solutions and guide development teams on implementation approach
• Lead technical design reviews and ensure adherence to architectural standards and best practices
• Own deployment strategy and release governance, including environment strategy, risk mitigation, and rollback planning
• Provide oversight on testing strategy (unit, integration, UAT), ensuring solutions meet functional and technical requirements
• Define data architecture and modeling strategies to support customizations and integrations
• Identify and proactively mitigate technical risks, ensuring successful project delivery
• Partner cross-functionally to align business and technical stakeholders, ensuring clear communication and shared objectives
• Support post-go-live strategy, including optimization, scalability planning, and continuous improvement initiatives
• Travel up to 25% for customer engagements and internal events

REQUIRED QUALIFICATIONS:

• Salesforce Expertise: A minimum of 4+ years working with Salesforce, with at least 3 years specializing in B2B commerce on core, Sales, Service, Community, Marketing, and Community Clouds
• Understanding of B2B Commerce Einstein Features & Capabilities
• Understanding B2B Commerce Extensions framework
• Understanding on B2B Commerce APIs and Connect APIs
• Understanding of cross cloud use cases ( B2B, D2C, Loyalty, Revenue, Marketing)
• Understanding of Salesforce OMS
• Familiarity with platform authentication patterns (SAML, SSO, OAuth)
• Integration Fundamentals: Foundational understanding of integrating Salesforce with third-party platforms, including Netsuite, Avalara, Stripe, DocuSign, SureTax, Chargent, or Dynamics 365
• Experience with test-driven development
• Prior experience executing deployments and use of DevOps tools (i.e. Gearset, Prodly, Copado, etc)

Technical Skills

• Salesforce Configuration: Proficient in Salesforce configuration, including objects, flows, Lightning components, and customizations
• Development Skills: Familiarity with Apex and Omniscript
• Data Analytics: Expertise in Salesforce reporting, dashboards, and sales performance analytics

Additional Skills

• Excellent communication and presentation skills for a variety of audiences and situations
• Confident, self-assured, team-player, ambitious and driven
• Detail and quality oriented with the desire and ability to rapidly learn and implement new concepts, business models, and technologies
• Prior experience building technical artifacts including Salesforce configuration design documents, technical design documents

Equal Employment Opportunity Statement 

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

Role Summary

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

What Makes This Role Different

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

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

Key Responsibilities

1  Feature Engineering & Delivery

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

2  AI-Augmented Development Practices

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

3  Code Quality & Engineering Excellence

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

4  Architecture & Technical Design

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

5  Mentoring & Team Growth

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

6  Cross-functional Collaboration

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

Required Qualifications

1  Education

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

2  Experience

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

3  Technical Skills — Core Engineering

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

4  AI Tooling Skills (Mandatory)

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

5  Nice to Have

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

Behavioural Competencies

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

Job Overview 

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

Key Responsibilities:

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

Required Skills & Qualifications:

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

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

Role Summary

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

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

Key Responsibilities

1  Technical Vision & Architecture

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

2  Cross-Squad Technical Leadership

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

3  AI-Augmented Engineering Excellence

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

4  Hands-On Engineering

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

5  Mentoring & Talent Development

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

6  Stakeholder & Product Collaboration

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

Required Qualifications

1  Education

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

2  Experience

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

3  Technical Skills — Core Engineering

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

4  AI / ML Integration Skills (Mandatory)

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

5  Technical Skills — Nice to Have

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

Behavioural Competencies

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

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

Responsibilities:

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

Requirements:

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

What you will need:

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

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

What We Offer

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

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

Key Responsibilities

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

Required Skills and Qualifications

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

Preferred Qualifications

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

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

Key Responsibilities

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

Required Skills and Qualifications

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

Preferred Qualifications

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

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

Key Responsibilities

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

Required Skills and Qualifications

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

Preferred Qualifications

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

Role Summary

We are seeking an experienced and hands-on leader to manage our DevOps Engineering team. As a Manager, you will be responsible for the day-to-day success, operational excellence, and career growth of the engineers who maintain our critical CI/CD and Infrastructure as Code (IaC) toolchain.

Following established operational policies, you will lead your team in administering our core DevOps platforms, including Jenkins, Artifactory, HashiCorp Vault, and Terraform Enterprise on AWS. This role is ideal for a customer-centric leader who excels at meeting schedules, guiding technical experts, and ensuring the stability and performance of essential engineering services.

Key Responsibilities

• Team Leadership & Development: Manage the daily activities and performance of the DevOps Engineering team. Work with employees to set clear contribution goals, provide regular feedback, and create an environment that fosters development and career growth.
• Operational Excellence: Oversee the administration, maintenance, and availability of the DevOps toolchain. Develop and manage schedules and performance requirements to ensure platform uptime and reliability.
• Tactical Execution & Support: Act as the primary point of escalation for the team, providing guidance on complex troubleshooting for CI/CD pipelines, secrets management, and infrastructure issues. Ensure the team provides timely and effective support to our internal engineering customers.
• Process Improvement: Recommend and establish procedures that improve team efficiency and service quality. Follow and enforce operational policies, ensuring the team adheres to best practices for security, upgrades, and incident response.
• Stakeholder Collaboration: Interact frequently with functional peer group managers and internal customers. Lead cooperative efforts among team members and cross-functional partners to resolve issues and deliver on project goals.

Required Skills

Experience: Typically requires a minimum of 5-8+ years of related experience in a DevOps, SRE, or Platform Engineering environment, with demonstrated experience leading projects or mentoring team members.

• Technical Knowledge:
  • Strong understanding of DevOps principles and the administration of CI/CD toolchains (e.g., Jenkins, Artifactory, GitHub, Vault, Terraform).
  • Solid experience with AWS infrastructure management and Infrastructure as Code (IaC) concepts.
  • Proven ability to diagnose and guide teams through complex technical issues across distributed systems.
  • Familiarity with scripting, automation, and modern operational best practices.

• Management & Soft Skills:

• A customer-centric approach with a passion for enabling engineering productivity and success.
• Excellent ability to manage schedules, set performance requirements, and use resources effectively to meet goals.
• Strong communication skills for interacting with employees, peers, and internal customers.
• Proven ability to lead cooperative efforts and foster a collaborative team environment.

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

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

Your Qualifications:

Essential

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

Key Skills & Technologies

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

Desirable

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

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

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

Education:

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

Physical Demands and Work Environment:

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

Location: Gurugram - India 
Full-time

What You’ll Be Spending Your Time On:

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

Have You Done This Kind of Stuff:

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

Not a Must, but a Great Advantage:

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

#LI-AK1

Overview:  The Director, Software Engineering will guide, coach and mentor managers and teams representing the Software Engineering function for a number of teams, or a small to medium sized product portfolio, towards high performance. This role is primarily focused on the management and development of people and practices and enables self-directed teams to successfully execute their goals within an agile organization in support of corporate vision and strategy.

Duties and Responsibilities:

• Provide excellence in management and leadership for multiple teams to help achieve company objectives.
• Responsible for the overall quality and delivery of multiple projects.
• Identify goals and tracking metrics to ensure objectives are met and recommend process improvements.
• Support organizational capacity through staffing, budget /compensation planning, skills development, and acquisition of required tools and technologies:
• Conduct regular succession planning activities for key roles within the Agile organization;
• Manage and approve staff performance and discipline plans; and
• Help to attract, recruit, retain and develop top engineering talent.
• Embraces all Engineering facets - Engineering, QA & DevOps.
• Works closely across functional teams, striving to deliver a high-quality product to market in an automated fashion.
• Stay focused on customer / market needs.
• Collaborate effectively and routinely share information and best practices across all functions to ensure organizational effectiveness.
• Ensure staff understand and adhere to corporate policies and procedures.
• Handle escalations that cannot be resolved independently by direct reports and may similarly escalate to more senior management as appropriate.
• Assist in delivery of Technology Roadmap while meeting a defined budget.
• May represent company in industry groups and events to create internal and external awareness of functional solutions.
• May represent company in relations with major customers, suppliers, bankers, government agencies and both channel and alliance partners.
• Foster a growth mindset in all employees:
  • Support employees in setting and attaining professional and development goals;
  • Coach and mentor employees on career and personal development, team collaboration and Agile practices; and
  • Support continuous learning.

• Maintain compliance with Inovalon’s policies, procedures and mission statement.
• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’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 undertaking of the position.
• Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company.
• 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:

• 12+ years of relevant professional experience including prior software engineering experience (preferred)
• 6+ years of experience in management of an array of team and department sizes.
• Knowledge of the field's concepts, practices and procedures.
• Demonstrate a growth mindset, seeks feedback often.
• Strong ability to motivate others.
• Good coaching and mentoring skills.
• Ability to easily build new relationships.
• Comfortable with constructive conflict.
• Strong verbal and written communication skills.
• Ability to clearly communicate and motivate teams toward a common goal.
• A leader with a demonstrated ability to support self-organizing teams.
• Willingness to take calculated risks.

• Ability to make decisions under pressure, and to own the outcome.

Education:

• Bachelor’s degree in Computer Science, technical field, or equivalent experience.

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions.
• Subject to inside environmental conditions.
• Travel for this position will include up to 25% locally usually for training purposes.

AS AN AWS MANAGER / SR. MANAGER, YOU WILL HAVE THE OPPORTUNITY TO EXECUTE THE FOLLOWING: 

Managerial Roles & Responsibilities

• Act as the AWS subject matter expert, providing leadership and guidance to internal teams
• Coach, mentor, and develop junior AWS team members while setting clear goals and expectations
• Conduct regular performance reviews, 1-on-1 meetings, and personal development planning
• Manage project resource staffing, utilization, and capacity planning while actively contributing to talent acquisition
• Drive hiring strategies to support organizational growth
• Build and lead high-performing teams, fostering a collaborative and motivated work culture
• Establish and oversee OKRs, ensuring alignment with business objectives
• Collaborate with business leaders to prioritize initiatives and drive impactful outcomes
• Represent the company and team in talent acquisition efforts, analyzing cultural fit and promoting an engaging and inclusive workplace
• Balance people management responsibilities with individual contributions as an AWS Solution/Technical Architect
  
  

Technical Roles & Responsibilities

• Demonstrate deep expertise in AWS infrastructure, security, and compliance, ensuring alignment with best practices and regulatory requirements
• Architect, implement, and optimize AWS solutions, focusing on scalability, cost-efficiency, and resilience
• Oversee cloud governance, automation, and DevOps best practices to enhance operational efficiency
• Lead complex AWS projects, integrating services like Amazon Connect, Amazon Lex, AWS SageMaker, Amazon Q, and Amazon Bedrock
• Drive innovation in Cloud Contact Center as a Service (CCaaS) by leveraging AWS and third-party platforms (Genesys, Twilio, Avaya, NICE CX, TalkDesk, Five9, RingCentral)
• Ensure seamless integration between Amazon Connect and Salesforce Service Cloud (SCV BYOA, SCV Bundle)
• Identify and address technical challenges, proactively resolving roadblocks for teams
• Advocate for AWS best practices and provide technical leadership in solution design

Qualifications

• Minimum 3 years of experience leading and managing technical teams
• For Sr Manager roles, experience managing Manager(s) is an added advantage
• AWS Solution Architect Associate Certification
• Strong expertise in AWS cloud architecture, security, compliance, and automation
• Proven track record of leading technical teams while driving innovation and efficiency
• Experience in the Contact Center domain, particularly with Amazon Connect
• Knowledge of AI/ML-driven solutions and AWS services such as SageMaker, Bedrock, and Amazon Q
• Experience integrating Amazon Connect with Salesforce Service Cloud models (SCV BYOA, SCV Bundle) is a plus
• Background in Cloud Contact Center solutions such as Genesys, Twilio, Avaya, NICE CX, TalkDesk, Five9, or RingCentral is preferred

Equal Employment Opportunity Statement

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