Job Summary

We are seeking a highly motivated QA Automation Engineer to design, develop, and maintain automated testing frameworks while ensuring the quality of SaaS and eCommerce applications.

The role requires strong expertise in Salesforce and SAP systems, hands-on experience with automation tools, and a solid understanding of end-to-end business workflows. The ideal candidate is proactive, detail-oriented, and collaborative, with a focus on continuous improvement in an Agile environment.

What You'll do:

Automation & Test Execution

• Develop and maintain automated test scripts using Selenium, Playwright, or APEX.
• Design scalable automation frameworks for Salesforce and SAP integrations.
• Create and execute test cases including functional, regression, sanity, smoke, and exploratory testing.
• Identify automation opportunities to improve efficiency and reduce manual effort.

E-Commerce & Integration Testing

• Perform end-to-end testing across Salesforce (Sales, Service, Commerce Cloud) and SAP (FICO, BRIM, MM, GRC).
• Validate eCommerce workflows: product catalog, search, cart, checkout, pricing, promotions, and order management.
• Test integrations between Salesforce, SAP, and external systems (e.g., payment gateways).
• Ensure accurate data flow and business process validation across systems.

API, Performance & CI/CD

• Design and maintain API test automation for REST services using Postman/SOAP UI.
• Execute performance testing using JMeter or LoadRunner.
• Integrate automated test suites into CI/CD pipelines (Jenkins, GitLab CI/CD).

Defect Management & Quality Assurance

• Identify, log, track, and retest defects to ensure timely resolution.
• Perform production smoke testing post-deployment to ensure system stability.
• Maintain test suites (Smoke, Sanity, Regression) for optimal coverage.

Agile Collaboration & Test Management

• Participate in Agile ceremonies (Sprint Planning, Stand-ups, Grooming).
• Collaborate with developers, product owners, and stakeholders for requirement clarity and testability.
• Maintain test data, ensure environment readiness, and keep Jira updated with accurate statuses and comments.

Continuous Improvement & Mentorship

• Continuously improve testing processes, tools, and frameworks.
• Maintain clear documentation of test strategies and execution.
• Mentor team members and promote automation best practices.

Technical Skills

• Strong programming skills in Java or Python.
• Proficiency in JavaScript/TypeScript.
• Experience with Selenium, Playwright (preferred), and APEX.
• Expertise in API testing and performance testing tools.

Integration & Tools

• Strong understanding of SaaS applications and end-to-end integration testing.
• Experience with CI/CD tools (Jenkins, GitLab CI/CD) and version control (Git).
• Experience with Jira or similar tools.

What you bring:

Experience: Proven experience as a Test Automation Engineer or similar role with
hands-on experience in automated testing of Salesforce / SAP systems.

Technical Skills:

• Proficiency in modern web technologies (JavaScript/TypeScript).
• Strong programming skills in Java/ Python
• Hands-on experience with testing tools like Selenium, Playwright, APEX
• Good to have experience in Playwright.
• Expertise in API testing tools (Postman, SOAP UI) and performance testing (JMeter, LoadRunner).
• Integration Testing: Familiarity with SaaS applications and full-stack integration testing.

Tools & Platforms:

• Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
• Knowledge of version control systems like Git
• Preferred Qualifications:
• Familiarity with Agile/Scrum methodologies.
• Experience working in B2B SAAS Company.
• Expertise in security testing methodologies.

#LI-VG1

#LI-Hybrid

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is looking for a Senior Quality Engineer to join our Core Product Development team in Chennai. This is a vital role for an engineer who is passionate about building robust automated test suites that ensure the reliability of our mission-critical IoT solutions. In this position, you will lead QA test automation efforts for Java, C#, and enterprise applications using the Selenium framework, directly impacting the speed and quality of our software delivery. You will report to the QA Manager and work daily, onsite at our Chennai office.

Essential Responsibilities

• Strategy & Planning: Review functional and technical requirements to provide critical input on testing scope; prepare comprehensive Test Plans and Test Cases that align with product goals.

• Automation Execution: Implement and maintain automated testing frameworks (Selenium, BDD) to perform smoke, functional, and regression testing across software products.

• Integration & CI/CD: Collaborate with Development and Release Engineering teams to capture and reuse automated suites, ensuring seamless builds and deployments on QA, release, and production servers.

• Defect Management: Identify, document, and track bugs in defect tracking tools with detailed descriptions and scenarios, while providing project test status, estimates, and metrics.

• Process Optimization: Constantly interact with cross-functional teams to implement methods that result in faster, more efficient, and reliable QA cycles.

Experience

Required Experience

• 2-4 years of professional QA/Software Testing experience.

• Solid understanding of QA processes and methodologies within the software development lifecycle.

• Proven experience in Test Automation of Java, C#, and JavaScript applications.

• Hands-on proficiency with automation testing frameworks such as Selenium and BDD.

• Experience in using Agile development and testing methodologies.

• Demonstrated experience with API and Performance testing.

Nice to Have

• Experience with TestRail or similar testing management tools.

• Experience testing Android applications.

• Familiarity with IoT or transportation-related technology.

Traits of a Successful Candidate

• Analytical Thinker: Strong problem-solving skills with a focus on tracing results back to specific quality risks promptly.

• Collaborative Communicator: Ability to work effectively in a small team and maintain constant interaction with other departments to ensure speed.

• Self-Starter: A strong team player who can also work independently, take ownership of projects, and meet targets.

• Lifelong Learner: Passion and willingness to learn new technologies and stay current with automation trends.

• Educational Requirement: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience).

Benefits & Legal

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note: The compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice).

This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is looking for a Lead Software Engineer with deep expertise in cloud-native full-stack development to join our dynamic team in Chennai. In this leadership role, you will be responsible for designing and deploying robust, scalable software for our high-velocity fleet management solutions. You will serve as a technical anchor, collaborating with cross-functional teams to deliver innovative technical solutions while ensuring the highest standards of software engineering principles and best practices.

Essential Responsibilities

• Architectural Leadership: Architect and implement scalable, secure, and performant solutions using modern web and backend technologies, including microfrontend architectures for modular applications.

• Full-Stack Development: Produce clean, maintainable, and well-documented code using React, Node.js, and NoSQL databases; conduct thorough code reviews to maintain technical excellence.

• System Integration: Collaborate with teams to integrate third-party services, APIs, and data sources, ensuring seamless interoperability and robust authentication/authorization mechanisms.

• Mentorship & Coaching: Lead and mentor team members on technical design, coding standards, and professional development, fostering a culture of accountability and collaboration.

• Optimization & Performance: Troubleshoot and debug complex issues to guarantee optimal application performance and cross-device/browser compatibility.

• Strategic Growth: Stay current with emerging technologies and best practices to drive the technical roadmap for web and backend development.

Experience

Required Experience

• 8+ years of professional software development experience, including at least 2+ years in senior technical or leadership roles.

• Strong expertise in full-stack development with React.js, Node.js, and API development.

• Proven ability to architect and design scalable, distributed, cloud-native systems (AWS, Azure, or GCP).

• Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).

• Expertise in event-driven integration patterns (pub/sub messaging, event-driven microservices communication).

• Hands-on experience with NoSQL databases such as ElasticSearch, MongoDB, or Firestore.

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Nice to Have

• Experience with frontend build tools (Webpack) and state management (Redux).

• Familiarity with UI frameworks like Material UI or Bootstrap.

• Advanced knowledge of data structures, algorithms, and complex system design.

Traits of a Successful Candidate

• Technical Mentor: Passionate about driving technical excellence and fostering a collaborative, knowledge-sharing environment.

• Problem Solver: Deep technical knowledge and the ability to debug complex, distributed software systems.

• Innovative Mindset: Proactive in identifying and adopting new frameworks and tools to optimize development workflows.

• Strong Communicator: Ability to translate complex requirements into technical specifications for cross-functional stakeholders.

Benefits & Legal

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note: The compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Platform Science collects your personal information to support its business operations. You can review further details in our Privacy Policy.

Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is seeking a highly motivated and experienced Senior Android Developer (Software Engineer II) to join our Solutions Design Team in Chennai. This role is crucial for architecting, prototyping, and delivering high-quality mobile solutions for our transportation and mobility platforms. This requires deep expertise in Android development using Java and Xamarin, and strong skills in designing scalable, maintainable mobile solutions that integrate with cloud services and enterprise systems.

You are a member of an agile development team and participate in the planning and execution of work items.

Essential Responsibilities

• Mobile Application Design & Development: Lead the design and development of Android applications using Java and Xamarin, building high-performance, secure, and scalable mobile features.

• Architecture & Solution Design: Drive POCs and prototypes for new features, participate in architecture discussions, and translate business/UX needs into technical designs.

• Code Quality & Engineering Excellence: Implement engineering best practices (clean code, SOLID principles), conduct detailed code reviews, and monitor/troubleshoot production issues.

• API & Backend Integration: Integrate mobile apps with RESTful APIs, cloud backends, and enterprise services, collaborating with backend teams to define contracts and optimize performance.

• Collaboration & Mentorship: Work closely with UI/UX designers and product managers, and mentor junior Android/Xamarin developers on mobile design trends and architecture.

Experience

Required experience

• 3-6 years of hands-on Android development experience.

• Strong proficiency in Java for Android and deep practical experience with Xamarin (Native / Forms).

• Strong understanding of Android architecture components (MVVM, ViewModel, LiveData, Room).

• Expertise in memory management, performance tuning, and background operations.

• Experience designing mobile apps interacting with REST APIs, JSON, and cloud services.

• Experience working with CI/CD for mobile apps (GitHub Actions, Azure DevOps, Jenkins, etc.).

• Knowledge of mobile security, authentication, and secure storage methods.

Nice-to-Have (Bonus)

• Experience in telematics, mobility, logistics, or IoT domains.

• Working knowledge of GCP/AWS/Azure mobile backend services.

• Kotlin proficiency is a plus.

Other Requirements

• Passion and willingness to learn new technologies (implied).

• Strong problem-solving and analytical thinking.

• Ability to lead technical discussions and push for high-quality outcomes.

• Excellent communication and collaboration skills.

• Ability to work in a global, fast-paced, cross-functional environment.

• You are dedicated to delivering high quality and performant solutions.

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

About the Role

Platform Science is looking for a Lead Software Engineer with expertise in cloud-native full-stack development (React, Node, NoSql, AWS/Azure) to join our dynamic team in Chennai. You will be instrumental in designing, developing, and deploying robust, scalable, and high-performance software for high-velocity fleet management solutions. You will collaborate with full stack teams to gather requirements, deliver technical solutions, and ensure the successful delivery of projects with an innovative mindset. This role requires deep technical knowledge, exceptional problem-solving abilities, and a strong understanding of software engineering principles and best practices.

You report to the Software Development Manager (implied reporting structure based on template).

Essential Responsibilities

• Architect and implement scalable, secure, and performant solutions using modern web and backend technologies.

• Collaborate with cross-functional teams to integrate third-party services, APIs, and data sources, ensuring seamless interoperability.

• Design and implement micro-frontend architectures for modular applications and robust authentication/authorization mechanisms.

• Produce clean, maintainable, and well-documented code, and mentor and coach team members on technical design and coding standards.

• Stay current with emerging technologies and best practices in web and backend development, troubleshooting and debugging issues for optimal application performance.

Experience

Required experience

• 8+ years of professional software development experience, including 2+ years in senior technical or leadership roles.

• Strong expertise in full stack development with React.js, Node.js, and API development.

• Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).

• Expertise in event-driven integration patterns (e.g., pub/sub messaging).

• Proven ability to architect and design scalable, distributed, cloud-native systems (AWS/Azure or GCP).

• Proficiency with JavaScript, Redux, Webpack, and UI frameworks (Material UI, Bootstrap).

• Hands-on experience with NoSQL databases such as ElasticSearch, MongoDB, or Firestore.

Other Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field.

• Strong grasp of software engineering principles, design patterns, data structures, and algorithms.

• Demonstrated leadership skills in mentoring engineers, driving technical excellence, and fostering a culture of collaboration and accountability.

• Excellent oral and written communication skills (implied requirement).

• Passion and willingness to learn new technologies (implied requirement).

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is looking for a highly skilled Senior Software Engineer with expertise in cloud-native full-stack development (GCP, React, Node.js, NoSQL) to join our dynamic team in Chennai. In this role, you will play a key part in designing, developing, and deploying robust, scalable, and high-performance software for our high-velocity fleet management solutions. You will collaborate with cross-functional teams to gather requirements, deliver technical solutions, foster an innovative mindset, and ensure the successful delivery of projects. This position demands deep technical knowledge and a strong understanding of software engineering principles and best practices.

The role reports to the Software Development Manager (as implied by the template structure for engineering roles).

Essential Responsibilities

• Design, develop, and deploy scalable and maintainable solutions using modern web technologies, including React.js for the front-end and Node.js for the backend.

• Implement micro-frontend architectures and use techniques like Module Federation to modularize and integrate large-scale applications.

• Utilize event-driven architecture and message queuing systems to handle asynchronous processes and complex workflows.

• Collaborate with cross-functional teams to integrate with third-party services, APIs, and data sources, ensuring seamless interoperability.

• Mentor and coach team members, providing guidance on technical design, coding standards, best practices, and professional development.

Experience

Required experience

• 4+ years of professional experience in software development, with a focus on React.js, Node.js (or similar frameworks), and API development.

• Proficiency in React.js and Node.js or similar frameworks.

• Strong understanding of NoSQL databases (e.g., ElasticSearch, MongoDB, Firestore).

• Expertise in event-driven integration patterns (pub/sub messaging) and solid understanding of microservices architecture (e.g., Docker, Kubernetes).

• Proficiency with React state management libraries (e.g., Redux) and front-end build tools (e.g., Webpack).

• Demonstrated ability to lead and mentor a team of software engineers.

• Experience in working on scalable, distributed systems with a cloud-based architecture (preferably GCP).

Other Requirements

• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.

• Experience working with Material UI or Bootstrap.

• Strong understanding of software engineering principles, design patterns, data structures, and algorithms.

• Excellent communication and collaboration skills to work effectively with stakeholders.

Other Requirements

• Excellent problem-solving skills, with the ability to analyze complex technical challenges and develop innovative solutions.

• Continuous learning mindset and a strong willingness to explore and adopt new technologies.

• Self-starter, Ability to work well in a small team with good communication skills.

• You are a strong team player but are able to work independently.

   

• You are dedicated to delivering high quality and performant solutions.

   

• You are eager to learn new things, you take ownership and want to get things done.

   

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai, India

About the Role

We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.

You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.

If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.

Key Responsibilities

• Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
• Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
• Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of 3 years of GCP experience supporting or developing AI/ML solutions on Google platform.
• Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
• Proficiency with GCP services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You’ll Love Working Here

• Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
• Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.
Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.
As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values every day results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Our Global Voice Team is looking for a committed, experienced Software Engineer II who is passionate about creating high-performing, scalable, and resilient mission-critical services that form the foundation of Five9’s next-generation contact center platform. You will have the opportunity to combine your existing expertise with new learnings, crafting bespoke solutions that serve our customers and partners.

Responsibilities:

• Participate in an Agile Scrum team that practices DevOps.
• Write clean, well-documented code and corresponding tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 3+ years of professional experience in software development, including experience in C and/or C++.
• Hands-on experience developing software for real-time communications signaling and media protocols (e.g., SIP, RTP).
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organizational skills, with a strong sense of ownership.

Technical Skills:

• Modern C++ (C++17+)
• RTP/SIP, audio codecs, SIP/SDP
• ASR/TTS integration
• AI APIs
• Cloud platforms (AWS, Azure, GCP)
• CI/CD
• Containers
• Site Reliability Engineering (SRE) principles
• AI/ML and Large Language Models (LLMs)

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.
Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.
As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

To help us scale and deliver solutions across our Data Mesh platform, we are looking for a DevOps engineer who can be responsible for the deployment of our data solutions using Azure DevOps. Automation is at the core of our solutions, which spans our development, testing and production infrastructures. A focus on balancing agility, low maintenance and security is critical.  

The ideal candidate will have a solid background in DevOps engineering for a large company and be highly experienced with Azure DevOps Pipelines to deploy both IaC and solutions. You’ll be working closely with our Software & Data Engineering teams - from the first lines of code being committed to it being deployed into production.  

The DevOps engineer will also help design & plan projects and be involved in project execution decisions.  

What you'll be doing:

• Build CI/CD process to increase release efficiency and reduce occurrence of errors. 

• Develop software to integrate with internal backend systems  

• Perform root cause analysis of deployment errors and provide future mitigation of those errors  

• Communicate to both technical and non-technical stakeholders  

• Cloud deployment and management 

• CI/CD management and deployment 

• Performance assessment, monitoring and recommending performance enhancements 

• Infrastructure management using IaC 

• Continuous testing at different stages of the development lifecycle 

• Helping to implement a DevOps culture 

What you'll need:

• At least 3 years’ experience as an Azure DevOps engineer 

• Azure infrastructure configuration and management with at least AZ-900 certification  

• Experience of designing and implementing CI/CD pipelines in Azure DevOps for web services and data products 

• Scripting in Python, Bash and Powershell 

• Experience with tools including Docker, Kubernetes 

• Experience Azure Data Services - Data Factory, Synapse, Azure Databricks 

• Experience using ARM and Terraform (Experience using Bicep an advantage)  

• Experience Azure DevOps to deploy Azure Cloud Scale Analytics (Not essential) 

• Problem-solving attitude  

• Collaborative team spirit   

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

About Druva :

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

Location: Chennai, India

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today’s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn, X and Facebook.

Druva is hiring an exceptional  Account Executive for the Mid-Market segment in India, responsible for building the sales pipeline, and closing business within the defined sales territory for both existing and new customers. The role will report directly to the Country Manager, India & SAARC.

The ideal candidate should be a highly motivated self-starter who enjoys both the challenges and rewards associated with a successful scale-up company. The ideal candidate will be detail oriented, process driven, and consultative in their sales approach. You should have a consistent track record of success in achieving new customer acquisition, managing incremental revenue bookings from both existing and new customers, as well as working with national and regional channel partners. In addition you should be comfortable selling a solution and technologies within a SaaS scale-up environment to IT contacts at a variety of levels within an organization.

Responsibilities:

• Manage sales in the assigned territory (hybrid role; existing customers and new business)
• Execute on the full sales cycle end to end at Mid-Market accounts, from initial contact to point of sale.
• Work closely with counterparts in Renewals to ensure Druva customer subscription renewals and to avoid churn and downsell in existing customers
• Support and work with channel partners to scale sales reach in the region. Includes resellers and distributors.
• Establish awareness of Druva’s solution, generate leads, communicate the value proposition, and close deals in the region.
• Deliver awe-inspiring product presentations and demos, provide timely and insightful responses to customer queries, and recommend creative ways Druva can solve business problems.
• Attain a deep understanding of Druva’s solutions and its competitive positioning in the market. Be a subject matter expert.
• Lead creation of proposals and responses to RFIs/RFPs working in conjunction with the Solution Engineer.
• Reporting: Maintain a complete and timely report of the regional pipeline in the assigned territory.
• Prepare, communicate, and execute to a thorough business plan.
• Meet or exceed revenue quota.

Qualifications:

• 5+  years of software sales experience (Backup or SaaS experience a plus)
• Experienced  in  selling into the IT organizations of Mid-Market customers in India.  We will want to see strong and consistent earnings background
• Experience managing and selling through a channel.
• Strong technical acumen
• Willingness to travel up to 30%, mostly domestic..
• Fluency in English
• College degree from a top-tier university (Masters or MBA a plus)

Personal Attributes:

• Entrepreneurial spirit: passionate about joining a scale-up, adaptable to changing situations
• Technologist: understand the problems faced by today's IT organizations and how to apply current technologies to solve them
• Self-starter: take responsibility and do what it takes to get the job done with minimal direction
• Team Player: build relationships across Druva’s regional and global organization, sharing and learning from others
• Organized:  lead complex efforts and initiatives, breaking them down into tasks, and clearly communicate progress
• Pragmatic: analyze trade-offs and prioritize tasks in order to achieve important objectives
• High professional standards: a commitment to individual and organizational excellence
• Excellent verbal and written communications skills: succinctly and clearly communicate with customers, peers, and management

Role Overview
We are seeking a Staff Frontend Engineer to be the technical anchor for our frontend capability. This role goes beyond feature delivery — you will define the frontend architecture, establish the component design system, own the Next.js application structure, drive performance standards, and mentor Senior and mid-level frontend engineers. You will build the most complex, data-intensive UI surfaces: real-time attribution dashboards, AI powered campaign builders, and platform-embedded intelligence widgets — all in React + Next.js stack integrated with Elasticsearch-powered search and streaming AI responses.  

Key Responsibilities
• Own and evolve the frontend architecture: Next.js App Router structure, component boundaries, state management strategy (Redux), and data-fetching patterns — applying hexagonal UI principles where the component layer is decoupled from specific backend service contracts.

• Design and build the most technically complex UI surfaces: real-time attribution dashboards (streaming data), AI-powered campaign builder (LLM response streaming), Elasticsearch-backed customer search with faceted filtering, and platform-embedded opportunity cards.

• Define the component design system: atomic component library, theming contracts, accessibility standards (WCAG 2.1), and Storybook-based documentation.

• Establish frontend performance standards: Core Web Vitals targets, bundle size budgets, SSR/SSG strategy with Next.js, lazy loading, and virtualization for large data tables.

• Lead Next.js architecture decisions: App Router vs. Pages Router tradeoffs, RSC (React Server Components) applicability, streaming SSR for AI-generated content, and API route design.

• Integrate AI-native frontend patterns: streaming LLM responses into UI components, real-time score updates from Redis/Aerospike via SSE, and Elasticsearch typeahead search. 

• Drive code quality through design reviews, code reviews, pair programming, and frontend-specific engineering standards.

• Mentor Senior and mid-level frontend engineers — setting the bar for component design, test coverage, and performance discipline.

• Collaborate closely with backend Staff Engineers to define API contracts and with designers to implement pixel-perfect, accessible UIs

Skills & Qualifications

• 8+ years of frontend engineering experience with deep React and Next.js expertise in production systems.

• Mastery of Next.js 14+ App Router, React Server Components, streaming SSR, and static generation — knowing when to apply each pattern.

• Strong TypeScript expertise: type safety across component props, API contracts, Redux store shape, and server/client boundaries.

• Deep Redux expertise: slice design, selector optimization, middleware patterns, and RTK Query for data fetching.

• Proven experience building data-intensive dashboards with real-time data (WebSocket, SSE, or polling) and chart libraries (Recharts, D3.js).

• Experience integrating Elasticsearch-powered search UIs: typeahead, faceted search, and result ranking display.

• Strong frontend performance engineering: bundle analysis, code splitting, memoization, virtualization, and Core Web Vitals optimization.

• Experience establishing and maintaining component design systems with accessibility standards.

• Experience mentoring engineers and raising the technical bar across a frontend team. 

Good to Have

• Experience streaming LLM/AI-generated content into React UI components (token streaming, partial rendering patterns).

• Familiarity with platform-embedded micro-frontend patterns (module federation or iframe-based embedding).

• Background in automotive retail, eCommerce analytics, or SaaS BI/reporting platforms.

• Experience with Storybook for component documentation and visual regression testing. 

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description

You will develop enterprise-grade frontend experiences embedded within our core platform and collaborate closely with designers, backend engineers, and product managers to deliver a world-class, AI-native user experience. You will build scalable, performant React + Next.js applications that surface real-time intelligence, campaign management interfaces, and data-rich dashboards — deeply integrated with our backend services and platform component framework.

Key Responsibilities
• Design and build responsive, reusable UI components using ReactJS and Next.js — including data visualization dashboards, campaign management interfaces, and customer intelligence widgets.
• Develop large-scale, cloud-ready frontend applications integrated with backend REST APIs, real-time data streams, and Elasticsearch-powered search experiences.
• Manage application state using Redux, ensuring seamless synchronization with backend microservices.
• Build platform-embedded frontend components following the hexagonal UI principle — components are independent, composable, and decoupled from specific data sources via port interfaces.
• Leverage Next.js SSR and SSG capabilities where appropriate for performance-critical views and SEO relevant surfaces.
• Collaborate with product, design, and backend teams to rapidly prototype and deliver high-quality, data-rich features.
• Ensure usability, performance, security, and visual consistency across environments and devices.
• Diagnose and fix UI bugs, rendering performance issues, and frontend bottlenecks.
• Write high-quality, maintainable code with thorough unit and integration tests.
• Follow Tekion UI, design, and engineering best practices.

Skills & Experience
• 3-5 years of experience in frontend engineering; Bachelor's degree in Computer Science or a related field.
• Strong hands-on expertise with React, Next.js, JavaScript/TypeScript, and Redux.
• Solid knowledge of HTML, CSS, and web standards (REST, HTTP, JSON, DOM, W3C).
• Experience building enterprise-grade SaaS applications with real-time data and complex state management requirements.
• Familiarity with Next.js App Router, SSR, SSG, and API routes.
• Excellent understanding of frontend performance: code splitting, lazy loading, memoization, virtualization.
• Experience with Git and project management tools (e.g., JIRA).
• Proven experience delivering scalable, high-performance frontend systems with thorough test coverage.
• Strong sense of ownership and bias for action in a fast-paced startup environment.

Preferred Skills
• Experience integrating AI-generated content and LLM-streamed responses into frontend components.
• Familiarity with data visualization libraries (Recharts, D3.js) for analytics and reporting dashboards.
• Experience building embedded micro-frontend components within larger platform shells.
• Exposure to Elasticsearch-powered search UI patterns (faceted search, typeahead, result ranking).

Perks & Benefits
• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

Job Description
You will develop enterprise-grade frontend experiences embedded within our core platform and collaborate closely with designers, backend engineers, and product managers to deliver a world-class, AI-native user experience. You will build scalable, performant React + Next.js applications that surface real-time intelligence, campaign management interfaces, and data-rich dashboards — deeply integrated with our backend services and platform component framework.

Key Responsibilities
• Design and build responsive, reusable UI components using ReactJS and Next.js — including data visualization dashboards, campaign management interfaces, and customer intelligence widgets.
• Develop large-scale, cloud-ready frontend applications integrated with backend REST APIs, real-time data streams, and Elasticsearch-powered search experiences.
• Manage application state using Redux, ensuring seamless synchronization with backend microservices.
• Build platform-embedded frontend components following the hexagonal UI principle — components are independent, composable, and decoupled from specific data sources via port interfaces.
• Leverage Next.js SSR and SSG capabilities where appropriate for performance-critical views and SEO relevant surfaces.
• Collaborate with product, design, and backend teams to rapidly prototype and deliver high-quality, data-rich features.
• Ensure usability, performance, security, and visual consistency across environments and devices.
• Diagnose and fix UI bugs, rendering performance issues, and frontend bottlenecks.
• Write high-quality, maintainable code with thorough unit and integration tests.
• Follow Tekion UI, design, and engineering best practices.

Skills & Experience
• 5+ years of experience in frontend engineering; Bachelor's degree in Computer Science or a related field.
• Strong hands-on expertise with React, Next.js, JavaScript/TypeScript, and Redux.
• Solid knowledge of HTML, CSS, and web standards (REST, HTTP, JSON, DOM, W3C).
• Experience building enterprise-grade SaaS applications with real-time data and complex state management requirements.
• Familiarity with Next.js App Router, SSR, SSG, and API routes.
• Excellent understanding of frontend performance: code splitting, lazy loading, memoization, virtualization.
• Experience with Git and project management tools (e.g., JIRA).
• Proven experience delivering scalable, high-performance frontend systems with thorough test coverage.
• Strong sense of ownership and bias for action in a fast-paced startup environment.

Preferred Skills
• Experience integrating AI-generated content and LLM-streamed responses into frontend components.
• Familiarity with data visualization libraries (Recharts, D3.js) for analytics and reporting dashboards.
• Experience building embedded micro-frontend components within larger platform shells.
• Exposure to Elasticsearch-powered search UI patterns (faceted search, typeahead, result ranking).

Perks & Benefits
• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Role Overview

As the most senior Individual Contributor (IC) in our Chennai office, you will serve as the site’s Technical North Star and strategic engineering partner. Reporting directly to the VP of Engineering, you are the steward of our technical excellence, responsible for defining high-level architectural direction and maintaining a world-class engineering bar across all local domains.

This is a force multiplier role. You are not just a lead developer; you are the person who ensures our regional engineering efforts align with global business goals. You will provide the technical cohesion necessary to build scalable, secure, and and operationally elite systems while mentoring the next generation of high-level individual contributors.

Key Responsibilities

• Architectural Stewardship: Own the high-level technical roadmap for the Chennai site. Lead the transition of core engines and large-scale monoliths into modern, distributed, cloud-native ecosystems.

• Engineering Standards: Drive site-wide quality through rigorous design reviews and the establishment of technical tenets that prioritize long-term system health over short-term delivery.

• AI-First Evolution: Design and implement automation-led architectures and AI-integrated workflows to enhance both engineering velocity and product intelligence.

• Principal Mentorship: Act as the primary mentor for Staff and Principal-level ICs, guiding them through complex system trade-offs and career growth toward organizational leadership.

• Strategic Advisory: Partner with the VP of Engineering to identify technical risks, bridge platform gaps, and ensure the Chennai office operates as a global center of innovation.

• Cross-Domain Cohesion: Facilitate technical councils and RFC processes to ensure architectural consistency and knowledge sharing across disparate product teams.

Required Experience & Skills

• 15+ Years of Systems Engineering: A deep history of designing, deploying, and maintaining high-traffic, large-scale software systems.

• Organizational Influence: Proven ability to shift the technical trajectory of multiple teams or business units without direct reporting authority.

• Architectural Mastery: Expert-level knowledge of distributed systems, cloud-native patterns, and microservices at global scale.

• Systems Thinking: An "automation-first" mindset with experience integrating AI/ML or advanced CI/CD into the core development lifecycle.

• Data-Driven Leadership: Ability to drive consensus among senior stakeholders using objective architectural principles and technical merit.

Preferred Qualifications

• Global Scale Experience: Previous experience operating at a Staff+ or Principal level within a global engineering organization, impacting multi-region infrastructures.

• Modernization Track Record: Demonstrated success in re-architecting legacy core engines into high-performance, modular platforms.

• Technical Community Leader: Experience building internal engineering cultures, from hosting deep-dive sessions to formalizing site-wide RFC standards.

Responsibilities

We are looking for an experienced Senior Forward Deployed Engineer to join our AI Solutions team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Architect and implement agent-based AI solutions using the Workato Agentic AI platform.

• Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform.

• Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs).

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.

• Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability.

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Please note: In this role, you will be supporting the US business hours from 6:30 PM to 3:30 AM IST!

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience with the Workato platform, is a must.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• 5+ years of experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• 2-3 years of coding experience (Java/Python/Ruby).

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Working knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact.

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset.

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations.

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.

• Fast learner who can independently conduct extensive research and synthesize ideas, information and options quickly.

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.

Please respond to the Job Application Questions below with thorough and honest answers - concise yet detailed responses will distinguish you in our selection process. 
All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

What we’re looking for  

We’re looking for a Software Engineer III who is passionate about building reliable, scalable backend systems and enjoys working across the stack when needed. You are a hands‑on engineer who thrives on solving real‑world problems, writing clean and maintainable code, and collaborating closely with teammates to deliver high‑quality features end‑to‑end. 

You bring strong engineering fundamentals, a growth mindset, and the ability to work independently on well‑scoped projects — owning medium‑sized features from design through deployment in alignment with our engineering best practices. You’re comfortable contributing to technical discussions, making thoughtful trade‑offs, and following established architectural patterns as you deepen your understanding of our systems. 

This role is fully remote, based in India and offers the opportunity to meaningfully influence backend architecture, shape engineering best practices, and work with a mission-driven, high-performing team.  

What you’ll own  

As a Software Engineer III, you will have clear ownership over features, with opportunities to contribute across the stack:  

• Own and deliver small to medium-sized backend features end-to-end: From technical discovery and design through implementation, testing, deployment and iteration 

• Take technical ownership of one or more non‑critical backend services or components: Ensuring they remain reliable, maintainable, well‑documented, and easy to extend. 

• Write clean, modular, testable code: Primarily in Ruby, Ruby on Rails, and Python, while contributing to frontend code when needed to support full‑stack feature delivery. 

• Contribute to the design and evolution of our APIs: Including GraphQL and REST endpoints that power frontend and partner‑facing applications, following established architectural patterns and best practices. 

• Ensure strong observability and operational health of owned services: Through logging, monitoring, alerting, and contributing to root‑cause analysis and follow‑through improvements. 

• Actively participate in technical discussions: Bringing thoughtful perspectives that balance simplicity, long‑term maintainability, and performance as you deepen your understanding of Perch’s systems. 

• Support team productivity through high‑quality code reviews and collaboration: Sharing context, helping unblock others, and contributing to a strong engineering culture. 

What you’ll do  

• Design and build scalable, resilient backend systems using Ruby on Rails, Python and PostgreSQL  

• Contribute to implementation of complex features and integrations, including external systems such as Salesforce  

• Take technical design decisions independently for your features 

• Own and evolve GraphQL services that power frontend and partner-facing applications  

• Improve system reliability through testing, monitoring, alerting, and operational best practices  

• Ship production-ready code frequently using a modern CI/CD pipeline  

• Review code and designs with a strong focus on maintainability, performance, and long-term impact  

What will help you succeed  

Experience & leadership  

• 4+ years of experience building and operating high-availability backend systems  

• Demonstrated experience delivering backend features and owning systems 

• Strong fundamentals in system design, API design, and data modelling  

• Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders 

• Actively represent engineering team in key discussions with US stakeholders 

• Proven experience mentoring junior engineers and raising the technical bar of a team  

• Comfortable working in ambiguous problem spaces and iterating toward robust solutions  

Backend & infrastructure  

• Strong experience with Python or Ruby, including proficiency in at least one web framework: 

• Ruby on Rails 

• FastAPI, Django or Flask 

• Working knowledge of ReactJS, with the ability to contribute to frontend components to support full‑stack delivery 

• Advanced SQL skills and experience with PostgreSQL or similar relational databases  

• Hands-on experience with AWS services such as S3, SQS, SES, EventBridge, or similar cloud-native services.  

• Containerization using Docker  

• Exposure to distributed systems or platform engineering  

• Familiarity with background jobs, async processing, and event-driven workflows  

Bonus points for  

• Experience integrating with Salesforce or other enterprise platforms  

• Experience designing and owning  GraphQL APIs (Apollo or similar)  

• Strong opinions (loosely held) on backend architecture, scalability, and system design  

• Exposure to AI-assisted engineering—such as using modern AI tools for coding, debugging, testing, documentation, or exploring LLM-based workflows in backend systems  

• Familiarity with observability and distributed tracing tools such as OpenTelemetry, Jaeger, Prometheus, or similar  

• Experience with container orchestration and deployment using Kubernetes and Helm charts  

• Passion for sustainability, clean energy, and building mission-driven products  

What success looks like in this role  

• Backend systems scale reliably as usage, data volume, and complexity grow  

• Engineers move faster due to clear APIs, architecture, and standards  

• Production issues are identified early and resolved with lasting fixes  

• Technical debt is addressed proactively rather than reactively  

• The backend platform enables product teams instead of limiting them  

Benefits:  Apart from Fixed Base Salary potential candidates are eligible for following benefits  

• Competitive compensation based on market standards.  
• Flexible Leave Policy  

• Office is in the heart of the city in case you need to step in for any purpose.  

• Medical Insurance (1+5 Family Members)  

• We provide comprehensive coverage including accident policy and life Insurance.   

• Annual performance cycle  

• Quarterly team engagement activities and rewards & recognitions  

• L&D programs to foster professional growth  

• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency   

Eliminating carbon footprints, eliminating carbon copies. Here at Perch, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Perch is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India.  
  
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request

Software Engineer III 
  
  

Who we are  

Perch Energy is a mission-driven company that focuses on expanding access to clean and affordable energy through community solar. Community solar breaks down the traditional barriers preventing most people from participating in the renewable energy economy by making it accessible, affordable, and more equitable for all. We work in several states across the US to bring community solar to communities and individuals who can most benefit from a more inclusive energy system. By managing the customer experience for solar farm owners, Perch is able to bring electricity bill savings to the masses, from renters and homeowners to businesses, institutions, municipalities and more by connecting them to community solar projects in their area. Perch isn't just a for-profit company, we're a for-purpose company—accelerating the shift to renewables nationwide. Everyone deserves to benefit from clean energy. Everyone has a place on this Perch!  

What we’re looking for  

We’re looking for a Software Engineer III who is passionate about building reliable, scalable backend systems and enjoys working across the stack when needed. You are a hands‑on engineer who thrives on solving real‑world problems, writing clean and maintainable code, and collaborating closely with teammates to deliver high‑quality features end‑to‑end. 

You bring strong engineering fundamentals, a growth mindset, and the ability to work independently on well‑scoped projects — owning medium‑sized features from design through deployment in alignment with our engineering best practices. You’re comfortable contributing to technical discussions, making thoughtful trade‑offs, and following established architectural patterns as you deepen your understanding of our systems. 

This role is fully remote, based in India and offers the opportunity to meaningfully influence backend architecture, shape engineering best practices, and work with a mission-driven, high-performing team.  

What you’ll own  

As a Software Engineer III, you will have clear ownership over features, with opportunities to contribute across the stack:  

• Own and deliver small to medium-sized backend features end-to-end: From technical discovery and design through implementation, testing, deployment and iteration 

• Take technical ownership of one or more non‑critical backend services or components: Ensuring they remain reliable, maintainable, well‑documented, and easy to extend. 

• Write clean, modular, testable code: Primarily in Ruby, Ruby on Rails, and Python, while contributing to frontend code when needed to support full‑stack feature delivery. 

• Contribute to the design and evolution of our APIs: Including GraphQL and REST endpoints that power frontend and partner‑facing applications, following established architectural patterns and best practices. 

• Ensure strong observability and operational health of owned services: Through logging, monitoring, alerting, and contributing to root‑cause analysis and follow‑through improvements. 

• Actively participate in technical discussions: Bringing thoughtful perspectives that balance simplicity, long‑term maintainability, and performance as you deepen your understanding of Perch’s systems. 

• Support team productivity through high‑quality code reviews and collaboration: Sharing context, helping unblock others, and contributing to a strong engineering culture. 

What you’ll do  

• Design and build scalable, resilient backend systems using Ruby on Rails, Python and PostgreSQL  

• Contribute to implementation of complex features and integrations, including external systems such as Salesforce  

• Take technical design decisions independently for your features 

• Own and evolve GraphQL services that power frontend and partner-facing applications  

• Improve system reliability through testing, monitoring, alerting, and operational best practices  

• Ship production-ready code frequently using a modern CI/CD pipeline  

• Review code and designs with a strong focus on maintainability, performance, and long-term impact  

What will help you succeed  

Experience & leadership  

• 4+ years of experience building and operating high-availability backend systems  

• Demonstrated experience delivering backend features and owning systems 

• Strong fundamentals in system design, API design, and data modelling  

• Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders 

• Actively represent engineering team in key discussions with US stakeholders 

• Proven experience mentoring junior engineers and raising the technical bar of a team  

• Comfortable working in ambiguous problem spaces and iterating toward robust solutions  

Backend & infrastructure  

• Strong experience with Python or Ruby, including proficiency in at least one web framework: 

• Ruby on Rails 

• FastAPI, Django or Flask 

• Working knowledge of ReactJS, with the ability to contribute to frontend components to support full‑stack delivery 

• Advanced SQL skills and experience with PostgreSQL or similar relational databases  

• Hands-on experience with AWS services such as S3, SQS, SES, EventBridge, or similar cloud-native services.  

• Containerization using Docker  

• Exposure to distributed systems or platform engineering  

• Familiarity with background jobs, async processing, and event-driven workflows  

Bonus points for  

• Experience integrating with Salesforce or other enterprise platforms  

• Experience designing and owning  GraphQL APIs (Apollo or similar)  

• Strong opinions (loosely held) on backend architecture, scalability, and system design  

• Exposure to AI-assisted engineering—such as using modern AI tools for coding, debugging, testing, documentation, or exploring LLM-based workflows in backend systems  

• Familiarity with observability and distributed tracing tools such as OpenTelemetry, Jaeger, Prometheus, or similar  

• Experience with container orchestration and deployment using Kubernetes and Helm charts  

• Passion for sustainability, clean energy, and building mission-driven products  

What success looks like in this role  

• Backend systems scale reliably as usage, data volume, and complexity grow  

• Engineers move faster due to clear APIs, architecture, and standards  

• Production issues are identified early and resolved with lasting fixes  

• Technical debt is addressed proactively rather than reactively  

• The backend platform enables product teams instead of limiting them  

Benefits:   

• Competitive compensation based on market standards.  

Apart from Fixed Base Salary potential candidates are eligible for following benefits  

• Flexible Leave Policy  

• Office is in the heart of the city in case you need to step in for any purpose.  

• Medical Insurance (1+5 Family Members)  

• We provide comprehensive coverage including accident policy and life Insurance.   

• Annual performance cycle  

• Quarterly team engagement activities and rewards & recognitions  

• L&D programs to foster professional growth  

• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency   

Eliminating carbon footprints, eliminating carbon copies. Here at Perch, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Perch is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India.  
  
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request 

About the Team At Business Technology, we use Appian to run Appian. We are launching our first internal AI team to build the foundation for how our global company works. This team won't just use AI, they will build the brain of the enterprise, spanning everything from predictive intelligence in our data warehouse to the GenAI infrastructure that powers our internal autonomous agents.

We are hiring a founding group of engineers to kickstart this mission. As an AI Engineer on this team, you won’t be maintaining legacy systems; you’ll be building from the ground up. You will own the full spectrum of AI: crafting predictive ML models to find insights in our data warehouse and architecting GenAI systems that allow any employee to interact with enterprise knowledge through intelligent agents.

If you want to be part of the original team that defines internal AI for a leading automation company, this is your moment.

PLEASE NOTE: This is a midlevel role and is aimed at people with 3+ years experience

What you’ll do:

• Build the AI Platform: Design, deploy, and scale GenAI infrastructure on GCP Vertex AI (preferred) or AWS Bedrock.
• Build & Operate MCP Servers: Develop and maintain Model Context Protocol (MCP) servers that expose enterprise systems (databases, APIs, internal tools) as structured, AI-consumable capabilities.
• Design the Tool Layer: Build the tool registry and invocation framework that allows agents to interact with internal systems safely and reliably including schema design, access controls, and error handling.
• Engineer Agent-to-Agent Infrastructure: Architect the communication and coordination layer that allows specialized agents to delegate tasks, share context, and compose into larger autonomous workflows.
• Own the Retrieval Layer: Architect and operate RAG systems, including vector stores, embedding pipelines, chunking strategies, and retrieval evaluation frameworks.
• Establish AI Reliability: Instrument AI systems with logging, tracing, latency monitoring, and evaluation hooks so agents can be trusted, debugged, and improved in production.

Required Qualifications:

• AI Infrastructure Experience: Professional experience building and deploying production-grade GenAI systems on GCP Vertex AI or AWS Bedrock including LLM APIs, agent frameworks, and RAG pipelines.
• Python Mastery: Deep proficiency in Python and common AI/ML libraries (e.g., LangChain, LlamaIndex, OpenAI SDK, Google Cloud AI SDK).
• Agentic Systems: Hands-on experience building multi-step, tool-calling AI agents that operate reliably in production including tool schema design, structured outputs, and failure handling.
• MCP or Tool Protocol Experience: Familiarity with Model Context Protocol (MCP) or equivalent patterns for exposing enterprise resources to AI systems as callable, permissioned tools.
• Vector & Retrieval Systems: Experience with vector databases (Pinecone, pgvector, or similar) and embedding-based retrieval at scale.
• Technical Foundation: B.S. in Computer Science, Engineering, or a related technical field.
• The Pioneer Mindset: A self-starter who is excited to be part of a "first-of-its-kind" team and thrives in environments where you are building the playbook.

Preferred Qualifications:

• Multi-Agent Architectures: Experience designing orchestrator/subagent patterns, agent handoff protocols, or systems where multiple AI models coordinate to complete complex tasks (e.g., using frameworks like LangGraph, CrewAI, or AutoGen).
• AI Observability: Experience with LLM evaluation frameworks, prompt regression testing, or agent trace monitoring (e.g. custom eval pipelines).
• Data Warehouse Integration: Familiarity with SQL and pulling data from Snowflake or BigQuery to ground AI agents in live business context.
• Appian Exposure: Experience with the Appian platform or interest in integrating AI agents into low-code automation workflows.
• Predictive ML (Nice to Have): Some familiarity with ML fundamentals is a plus, but not a focus of this role.

This role is based at our Chennai office in Brigade World Trade Center Chennai. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian.  

DevOps Engineer I

We are actively seeking a DevOps Engineer to join our Cloud Engineering Application Services team. At Five9, we work in small teams and move fast to drive our products and business to the next level. We look for crucial skills in team members such as a problem-solving mindset and intellectual curiosity, along with comfortable integration into a deeply collaborative system that rewards impact.

Key Responsibilities

• Design, implementation, and automation of large-scale distributed systems

• Build tools and automation that help Five9 achieve higher availability, scalability, latency, and efficiency

• Work with Engineering teams to deliver high quality software in a fast-paced environment

• Monitor production and development environments to build preventive measures and provide a seamless customer experience

• Work with delivery teams on software improvements to achieve higher availability and lower MTTD

• Participate in on-call rotation (IST shift with every 2 weeks weekend included on call rotation)

Key Requirements

• 1–3 years of public cloud experience (GCP or AWS)

• 1–3 years of private cloud experience (Openstack, VMware ESXi)

• 1–3 years of Linux experience (Centos/Ubuntu)

• 1–3 years of networking experience

• Orchestration and management of containers using Kubernetes, Helm, GKE and Docker

• Experience with Gitlab, ArgoCD, CI/CD methodologies & tools

• Experience with Infrastructure as Code (Terraform), Python or other scripting languages

• Experience with config management tools such as Ansible and Puppet

• Experience in monitoring systems: Prometheus or LogicMonitor

• Excellent problem solving and analytical skills

• Experience with Incident Management Process, SRE best practices and continuous improvements

• Experience designing large scale distributed systems

• Strong verbal and written communications skills

• Bachelor's of Science degree in Computer Science or equivalent experience

Job Title: Python  Automation Expert

 About Us

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

WHY JOIN CAPCO? 

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

Job Description:

• • Role Description:

    Hands-on engineer delivering Finance EUC automations on IT-governed platforms. Understands demand for automation, detailed requirements, and undertakes build & test, production deployment activities and RTB change implementation, following defined standards and platform guardrails. Contributes to opportunity scoping by providing technical input on feasibility and effort. Produces code, documentation and test evidence aligned to agreed closure criteria, and supports controlled deployment and post-release fixes. Works closely with the POD Lead, Finance Domain BA and platform support to ensure solutions are reliable and supportable.

     

    Skills / Knowledge / Experience:

    • Strong understanding of Python programming with Excel dependent and Pandas library, and capable of debugging Python code
    • Strong data preparation, visualization, and analytics capability
    • Design and deliver AI-assisted remediation capabilities
    • Strong understanding of EUCs (End User Computing) and their remediation through AI
    • Experience with Gen-AI tools and prompt engineering
    • Skilled in IT-managed automation platforms e.g., Alteryx
    • Knowledge of Finance data systems

Location :  Block A, 11th Floor, Global infocity, Perungudi, Chennai - 96

Shift : 5 PM IST to 2 AM IST 

About the role : 

This role is responsible for leading and managing the complete onboarding process for all ZoomInfo customers, ensuring a smooth and timely implementation experience. You will serve as the primary point of contact, coordinating with cross-functional teams to align goals, timelines, and deliverables. The role focuses on driving customer satisfaction through proactive communication, effective project management, and sharing best practices. Additionally, you’ll ensure a seamless transition to the Customer Success and Account Management teams for continued customer growth and engagement

What You’ll Do 

• Manage the comprehensive onboarding for all ZoomInfo customers (including new business, renewals, and upsells) to ensure customers receive a highly organized program with detailed goals, timelines, and processes. Serve as primary point of contact for customers during the onboarding and implementation phase of the customer lifecycle.
• Build implementation strategies to ensure customers in all customer segments are onboarded within the defined SLAs. Coordinate communication with other areas of the business to ensure a streamlined approach for each and every customer.
• Work directly with customers to set appropriate expectations, address customer goals, determine target dates, manage customer tasks, and provide regular project updates during the onboarding phase of the customer lifecycle.
• Collaborate with the customer success team, customer training team, and customer integrations team to create a streamlined and cohesive approach that allows customers to get successfully implemented and trained.
• Manage multiple simultaneous onboarding projects at one time, balancing priorities of business results, customer satisfaction, and technical quality. This includes being an asset to the Customer Success Manager, Learning & Development Manager, and Integrations and/or Solutions Engineer while being an advocate for the customer.
• Provide best practices and mentorship to customers on how best to implement ZoomInfo’s suite of products and solutions. Provide thought leadership with regards to overcoming challenges the customer is facing.
• Ensure appropriate handoff of new accounts to the Customer Success Manager and/or the Account Manager. Build out a standardized information flow/transition document to prepare the CSM and AM for success, including documenting wins and challenges the customer faced during the onboarding process.
• Serve as the primary owner of Customer Journey tasks in Salesforce. Document all steps and touchpoints as appropriate.
• Perform a wide variety of professional tasks, which demand a high level of creativity and imagination, as well as a thorough knowledge of the applicable needs and expectations of employees/customers.

What you bring 

• Any Bachelor degree. At least 3 to 5 years of customer success and/or project management, ideally in a SaaS environment.
• Ability to manage multiple competing priorities, rapidly adapt and respond to customer requests and timeline changes.
• Highly collaborative, organized, and execution-oriented with strong presentation skills.
• Excellent project management skills with an emphasis on attention to detail, timelines, and quality of work.
• Excellent problem-solving skills and ability to be flexible to project situations. Ability to research, analyze and provide a solution to newly identified issues.
• Experience developing, installing, training, and/or supporting B2B solutions (previous experience with ZoomInfo and/or ZoomInfo certification strongly preferred).
• Highly familiar with Salesforce CRM.
• Able to be successful in a fast-paced environment that rewards hard work and self-motivation.
• Superior relationship and communication skills (both verbal and written)

#LI-SG2

#LI-Hybrid

Who we seek:

We’re looking for a Senior Software Engineer with a "can do anything" spirit for our Engineering team in Chennai. Working on security & governance applications developing advanced security & governance oriented integrations and applications which brings precise and targeted value to our customers. As a senior software engineer, you will be responsible for building new services and products from scratch and bringing innovation to the team's developments. Our ideal candidate is a team player who has strong hands-on full stack experience and is capable of claiming ownership of a feature, from one end to another.

What you’ll do:

• Design, develop, and test high-quality code, ensuring comprehensive coverage with unit, integration, and End-to-End (E2E) tests.
• Develop robust Backend SDKs and the company’s next-generation SaaS products.
• Lead code reviews, enforce coding best practices, and maintain rigorous software development standards, especially concerning data handling.
• Troubleshoot and resolve complex system issues promptly to ensure maximum uptime and system reliability.
• Drive and influence key technological and architectural decisions for the team.
• Mentor and guide fellow team members through reviewing their design and code.
• Own and complete tasks end-to-end, actively participating in the Agile Scrum process.

What you’ll bring:

• Minimum of 5 years of hands-on experience developing Java Microservices.
• Proven ability to manage and scale high-volume engineering solutions.
• Deep understanding of CI/CD principles and experience working with external and in-house APIs and SDKs.
• Experience leveraging AI Development Tools (e.g., GitHub Copilot, Cursor) as a "Peer Programmer" to boost productivity.
• Strong analytical skills and excellent problem-solving abilities.
• Experience in automation testing.
• Excellent communication skills and a collaborative, "can-do" mindset for working with cross-functional teams to ensure end-to-end quality.

Advantages:

• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with the AWS cloud platform.
• Working knowledge of NoSQL databases and messaging systems (e.g., MongoDB, Elastic, Kafka, Redis).
• Proven experience with the React.js framework.

What’s in it for you?!

Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.

•    Equity participation - everyone shares in our success
•    Hybrid work 
•    Opportunities for professional growth
•    Team fun & company outings
•    Statutory benefits and leave benefits
•    Health Insurance coverage 

Our Values:

We look for people who embody our values - Care, Do, Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try- We try our best and we don’t give up
• Shine- We shine and make it our mission to always stand out

#LI-HYBRID

#LI-EV2

Why we're hiring:

The Automation Engineer is responsible for designing, developing, and maintaining security automation solutions that enhance detection, response, workflow efficiency, and operational consistency across Operational Security. Working under the Automation Lead, this role builds high-quality SOAR playbooks, integrations, scripts, AI-assisted workflows, and orchestration pipelines to reduce manual workloads and support the Autonomic Security Operations (ASO) model.

What you'll be doing:

Core Responsibilities

Automation Engineering & Development

• Develop SOAR playbooks, workflows, and automations for alert triage, enrichment, containment, and remediation.
• Build scalable, reusable automation components, scripts, and integrations.
• Implement high-quality scripting using Python, PowerShell, and REST APIs.
• Ensure appropriate version control, QA, testing, and documentation of automation artefacts.
• Maintain reliability of automations by monitoring performance, exceptions, and system behaviour.

Platform Integration & Tooling Engineering

• Integrate SOAR with SIEM, EDR, TIP, cloud-native security tools, and case management systems.
• Engineer automation pipelines to support Microsoft and Google security ecosystems.
• Develop API integrations, webhooks, and event-driven automation triggers.
• Support data transformation, enrichment, and telemetry orchestration requirements.

AI / ML Automation Enablement

• Contribute to embedding AI/ML-driven enrichment and correlation logic into automated workflows.
• Support operationalisation of ML models for anomaly detection and decision support.
• Collaborate with data and detection teams to refine and enhance AI-enabled automation.

Workflow Engineering & Process Automation

• Translate SOPs, response runbooks, and detection workflows into automated processes.
• Identify automation opportunities to eliminate manual tasks across SecOps functions.
• Ensure automated processes remain consistent, auditable, and compliant with Operational Security standards.

Operational Collaboration & Support

• Work with Detection Engineering, Incident Response, Threat Hunting, and Threat Intelligence teams to automate use cases.
• Participate in post-incident reviews and embed improvements into automation workflows.
• Assist with tool evaluations, optimisation initiatives, and integration efforts led by the Automation Lead.

Continuous Improvement

• Contribute to a backlog of automation enhancements and new capabilities.
• Optimise accuracy, resilience, and efficiency across automation workflows.
• Ensure alignment with GCAT SOC10x principles, including 10X Technology, Process, Speed, and Visibility.

What you'll need:

Technical Expertise

• Experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, or Chronicle SOAR.
• Proficiency in Python and/or PowerShell for automation development.
• Strong understanding of REST APIs, JSON, and event-driven automation.
• Experience integrating SIEM, EDR, TIP, and cloud-native security tools.

Process & Operational Knowledge

• Understanding of workflows across SOC, Incident Response, Threat Hunting, and Detection Engineering.
• Ability to convert operational requirements and SOPs into engineered automation.
• Familiarity with playbooks, runbooks, and security process governance.

Collaboration & Delivery

• Strong communication and documentation skills.
• Ability to work in an engineering-led, automation-first culture.
• Experience working with cross-functional technical teams in security operations.

Certifications (Preferred)

• SOAR platform certifications.
• GIAC (GMON, GCTI, GCIH, GCDA).
• Python or scripting certifications.
• Azure or GCP cloud certifications.

Key Attributes

• Engineering-first mindset with strong attention to detail.
• Problem-solving orientation with a focus on automation and efficiency.
• Structured, methodical, and reliable approach to delivery.
• Commitment to operational excellence and continuous improvement.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

About the Role:

We are seeking an experienced Site Reliability Engineer / Platform Engineer to join our team and help build and maintain a resilient, scalable infrastructure supporting our applications across multiple cloud providers. In this role, you will design and implement infrastructure solutions, automate operational processes, and work closely with development teams to ensure reliable, efficient systems that scale with our business.

What You'll Do:

• Design, build, and maintain infrastructure across AWS, GCP, and Azure using Infrastructure as Code (IaC) principles.
• Implement and optimize CI/CD pipelines using tools like Argo and CircleCI to enable rapid, reliable deployments.
• Manage and scale Kubernetes clusters in production environments, ensuring high availability and optimal resource utilization.
• Administer and optimize cloud databases including MongoDB, Redis, RDS, and other data stores for performance and reliability.
• Develop monitoring, alerting, and observability solutions to identify and resolve issues before they impact users.
• Automate routine operational tasks to reduce manual toil and improve system reliability.
• Conduct incident response and post-mortem analysis to drive continuous improvement.
• Collaborate with development teams to design systems with reliability, scalability, and operational excellence in mind.
• Document infrastructure architecture, runbooks, and operational procedures.
• Evaluate and implement new tools and technologies to improve platform capabilities.

What You'll Bring:

• 3+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering.
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure).
• Proficiency with Kubernetes for container orchestration and management.
• Demonstrated expertise with IaC tools (Terraform, CloudFormation, Pulumi, or similar).
• Experience with CI/CD platforms, particularly Argo and/or CircleCI.
• Solid understanding of database technologies including MongoDB, Redis, and relational databases (RDS).
• Proficiency in at least one programming or scripting language (Python, Go, Bash, Typescript, etc.).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch).
• Experience implementing and managing OpenTelemetry (OTEL) for distributed tracing, metrics, and logging.
• Strong understanding of networking, security, and infrastructure best practices.

Nice to Have

• Experience managing multi-cloud or hybrid cloud environments.
• Familiarity with service mesh technologies (Istio, Linkerd).
• Knowledge of security hardening and compliance in cloud environments.
• Experience with cost optimization in cloud infrastructure.
• Contributions to open-source infrastructure or DevOps projects.
• Certifications from major cloud providers.

Why we're hiring:

The Process Engineer is responsible for designing, engineering, maintaining, and continuously improving Operational Security processes across WPP. The role focuses on defining how Operational Security operates in practice, ensuring processes are clear, auditable, automation-enabled, and scalable. This is an individual contributor role with no people management responsibilities; management accountability sits with the Process Engineering Lead.

What you'll be doing:

Operational Security Process Engineering (Assess)

• - Engineer and maintain end-to-end operational security processes across SOC operations, incident response, detection engineering, threat hunting, threat intelligence, automation, and vulnerability management.
• - Define workflows, decision points, inputs/outputs, and escalation paths for operational activities.
• - Maintain the authoritative process library describing how Operational Security services operate.

Process Standardisation, Consistency & Governance (Safeguard)

• - Ensure processes are standardised, consistent, and aligned across teams and regions.
• - Align processes to internal policy, risk, legal, and assurance requirements.
• - Act as a quality gate for new or changed processes to ensure clarity and audit readiness.

Automation-Enabled Process Design (Operate)

• - Partner with Security Automation Engineering to ensure processes are automation-friendly and evidence-driven.
• - Identify manual or high-effort steps and work with engineering teams to automate or eliminate them.
• - Ensure documented processes accurately reflect real system behaviour.

Audit, Assurance & Evidence Support

• - Maintain process documentation suitable for internal and external audit.
• - Support audits and reviews by explaining processes, control points, and evidence sources.
• - Ensure traceability between process definitions, tooling, and execution.

Continuous Improvement & Operating Model Maturity

• - Review and improve processes based on operational feedback, incidents, and maturity assessments.
• - Support KPI, maturity, and continual service improvement initiatives.
• - Partner with security teams to evolve processes as capabilities mature.

What you'll need:

Essential:

• - Experience designing or engineering operational processes in a security or technology environment.
• - Strong understanding of security operations domains and how they interconnect.
• - Ability to translate operational activity into clear, auditable processes.
• - Strong documentation and stakeholder communication skills.

Desirable:

• - Experience supporting audit or assurance activity.
• - Familiarity with automation-first or engineering-led operating models.
• - Exposure to ITIL or process maturity frameworks in practical application

ADDITIONAL INFORMATION

• - Individual contributor role reporting to the Process Engineering Lead.
• - Works closely with Automation Engineering, Detection Engineering, IR, CTI, and VM teams.
• - Central to WPP’s Autonomic Security Operations and automation strategy

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Role Overview

We are looking for a Senior Backend Engineer to design, build, and scale robust backend services that power complex business workflows. This role requires strong ownership, deep Java expertise, a solid grounding in hexagonal architecture, and the ability to collaborate effectively across product, QA, AI/ML, and engineering teams in a fast-moving, AI-native environment.

Key Responsibilities

• Design and build Java (Spring Boot 3.x) microservices following hexagonal architecture — clean domain logic isolated from MongoDB, PostgreSQL, Cosmos DB, and Kafka adapter implementations.

• Develop and maintain REST APIs, Kafka event consumers/producers, and domain service logic for campaign, scoring, attribution, and customer profile workflows.

• Build and manage MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant use cases. 

• Implement Cosmos DB data models for event and state storage with appropriate partition key and consistency strategies.

• Take end-to-end ownership of components — from domain design and hexagonal adapter implementation through deployment and ongoing optimization.

• Integrate with Elasticsearch for campaign search, customer lookup, and full-text query workloads.

• Configure and tune Redis or Aerospike for frequency cap enforcement, scoring cache, and session state management.

• Identify and resolve performance bottlenecks across services, event pipelines, and data layers.

• Participate actively in design discussions, architecture decisions, and code reviews.

• Mentor Junior engineers and act as a role model for code quality, hexagonal design, and AI-native engineering best practices.

Skills & Qualifications

• 5+ years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.

• Strong Java 21 and Spring Boot 3.x expertise; solid grasp of hexagonal architecture and clean domain modeling.

• Experience with Kafka: consumer/producer patterns, at-least-once delivery, idempotent processing, and event-driven service design.

• Hands-on MongoDB experience: document schema design, indexing, aggregation pipelines, multi-tenant isolation.

• PostgreSQL experience: schema design, query optimization, migration management.

• Familiarity with Cosmos DB or equivalent distributed key-value / document stores.

• Experience with Elasticsearch for search and analytics workloads.

• Experience with Redis or Aerospike for high-throughput caching patterns.

• Familiarity with cloud-based systems on AWS (EKS, MSK, S3).

• Strong debugging, performance tuning, and system optimization skills.

• Familiarity with Agile/Scrum development practices and CI/CD pipelines.

Good to Have

• Experience with Temporal for workflow orchestration.

• Familiarity with AI-native integration patterns: MCP tool registration, scoring API contracts, LLM gateway usage.

• Working knowledge of Python for understanding AI/ML service outputs and integrating scoring results.

• Background in enterprise-scale SaaS platforms: eCommerce, supply chain, or similar. 

Job Description

We are looking for a Software Engineer II to join one of our Scrum teams building AI-native, event-driven services for automotive retail intelligence. This is a core contributor role for engineers with 2–4 years of experience who are ready to take end-to-end ownership of features, grow their distributed systems skills, and work in a high velocity environment that demands code quality, hexagonal architecture discipline, and genuine curiosity about AI-native engineering.

Key Responsibilities

• Develop and maintain Java (Spring Boot 3.x) backend services — implementing domain logic, REST APIs, Kafka event consumers/producers, and MongoDB/PostgreSQL persistence adapters following hexagonal architecture patterns.
• Build features across the full backend slice: domain model, port interface, adapter implementation, unit tests, and integration tests.
• Write integration tests using Testcontainers for MongoDB, PostgreSQL, Kafka, and Elasticsearch adapters — ensuring each adapter is tested independently from the domain core.
• Participate in design discussions, architecture reviews, and code reviews — actively learning from Staff and Senior engineers.
• Investigate and resolve bugs, performance issues, and Kafka consumer lag across services.
• Write clean, well-documented, testable code with consistent application of hexagonal design principles.
• Contribute to golden dataset test scenario design under the guidance of the Product Manager and SDET.
• Operate with ownership and curiosity in a fast-paced, startup environment.

Skills and Experience

• 2–4 years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.
• Solid Java fundamentals: object-oriented design, Spring Boot, REST API implementation, and unit testing (JUnit 5).
• Working knowledge of at least one of: MongoDB, PostgreSQL, or Kafka — with willingness to develop depth across all three.
• Understanding of hexagonal architecture concepts (ports & adapters) — ability to implement adapters under the guidance of senior engineers.
• Familiarity with cloud environments (AWS), containerization (Docker), and CI/CD pipelines.
• Strong problem-solving skills, attention to code quality, and ability to receive and apply feedback quickly.
• Collaborative mindset and clear communication — comfortable asking questions and flagging blockers early.

Preferred Skills

• Exposure to Kafka producers and consumers in a production or learning context.
• Familiarity with Elasticsearch for search and analytics use cases.
• Curiosity about AI/ML systems — awareness of what scoring models, embeddings, and LLMs do at a systems level.
• Exposure to Redis or Aerospike for caching patterns.
  
  

Perks and Benefits

• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Job Description

We are seeking a Staff Backend Engineer to design and build scalable, AI-native backend services that power customer intelligence, campaign orchestration, and attribution at automotive retail scale. This role is the critical technical anchor — defining hexagonal architecture patterns, owning service boundaries, driving AI integration patterns, and setting the engineering bar for the entire team.

Key Responsibilities

 • Architect Java (Spring Boot 3.x) microservices using hexagonal architecture — defining clean domain cores, port interfaces for persistence (MongoDB, PostgreSQL, Cosmos DB), and adapter implementations for Kafka, Elasticsearch, Redis/Aerospike, and external APIs.

• Own core domain models and service boundaries end-to-end: from initial hexagonal design through production operation, Kafka event contracts, and iterative enhancement.

• Build scalable, secure REST APIs and robust Kafka-based event-driven pipelines that consume and produce events across multiple source systems. 

• Design MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant workloads — with deep attention to indexing strategy, TTL, and tenant isolation patterns.

• Design Cosmos DB data models for high-throughput event and state storage — partition key strategy, consistency levels, and TTL configuration. 

• Design and implement durable campaign execution workflows using Temporal. 

• Establish and own AI-native integration patterns: MCP tool registration, scoring model serving contracts, LLM gateway integration, and agentic workflow design.

• Identify and resolve performance bottlenecks across services, Kafka pipelines, data layers, and Elasticsearch query performance. 

• Ensure all systems meet reliability, scalability, and observability standards.

• Mentor senior, mid-level, and junior engineers — setting and consistently raising the engineering bar.

Skills & Qualifications

• 8+ years of backend engineering experience with a strong track record delivering production-grade Java systems.

• Deep expertise in hexagonal architecture (ports & adapters) — proven ability to design domain cores fully decoupled from infrastructure layers.

• Strong Java 21 and Spring Boot 3.x expertise with event-driven, microservices-first design. 

• Strong experience with Kafka — consumer groups, partition design, offset management, idempotent consumers, and event-driven service integration.

• Proven experience with MongoDB: document schema design, indexing, aggregation pipelines, and multi tenant isolation patterns.

• Strong PostgreSQL experience: complex schema design, query optimization, migration management.

• Experience with Cosmos DB or equivalent globally distributed key-value stores: partition key design, consistency tuning, high-throughput read/write patterns.

• Solid experience with Elasticsearch: index design, search query optimization, relevance tuning.

• Experience with Redis or Aerospike for high-throughput caching and session/state management.

• Strong understanding of distributed systems: service boundaries, data consistency, idempotency, retries, and circuit breaking on AWS (EKS, MSK).

Preferred Skills

• Experience with Temporal for durable workflow orchestration. 

• Familiarity with MCP tool registration patterns and agentic platform integration.

• Working knowledge of Python for AI/ML pipeline integration (scoring models, feature serving, LLM gateway patterns).

• Prior experience building data platforms, real-time analytics systems, or AI-native SaaS products.

Perks & Benefits 

• Competitive compensation and generous stock options.

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Senior Software Engineer, Billing

 Job Description: 

As a Sr. Backend Engineer, you will be a key player in our team, responsible for the design, development, and maintenance of our next-generation Billing service.  

 Responsibilities: 

• Design, construct, test, and maintain a highly scalable, event-driven billing service. 

• Build and operate ingestion pipelines that consume usage events from Pub/Sub and other upstream sources. 

• Implement metering, rating, aggregation, and reconciliation logic that guarantees correctness and idempotency at scale. 

• Ensure systems meet business requirements, regulatory needs, and industry best practices. 

• Collaborate with product managers, architects, engineering leaders, and test engineers to deliver new billing capabilities. 

• Drive improvements on billing reliability, accuracy, performance, and cost efficiency. 

• Troubleshoot and support the platform in production, including on-call rotations. 

 Qualifications: 

• 5+ years of software engineering experience. 

• 3+ years of Java backend development, with hands-on experience using Spring Boot. 

• Degree in Computer Science, IT, or similar field; a Master's is a plus. 

• Strong Computer Science fundamentals in design, data structures, algorithms, problem solving, and complexity analysis. 

• Experience designing and implementing RESTful APIs and event-driven services. 

• Strong understanding of event-driven architectures and asynchronous processing. 

• Experience with messaging systems (Pub/Sub, Kafka, or similar) and at-least-once / exactly-once processing semantics. 

• Hands-on experience with the GCP ecosystem (Pub/Sub, GCS, GKE, Cloud SQL, BigQuery, or similar). 

• Experience architecting, developing, and operating internet-scale, distributed, mission-critical services. 

• Prior experience in developing new features and debugging complex issues with minimal supervision. 

 Nice-to-have: 

• Previous experience building or operating billing, metering, rating, or invoicing systems. 

• Familiarity with file-based data formats such as CSV and Parquet. 

• Experience with stream processing frameworks (Apache Beam/Dataflow, Flink, Spark Streaming). 

• Previous experience in the Contact Center or Telco industry. 

As a Senior Software Engineer specialising in SAP S/4HANA ABAP/FIORI/AI, you will be a key member of the SAP technical team responsible for designing, developing, and implementing SAP solutions to support business operations. Your primary focus will be on SAP AI developments, UI/UX development using SAP Fiori/UI5,  as well as backend ABAP development for custom solutions and enhancements. You will work closely with functional teams to translate business requirements into technical specifications and ensure seamless integration across SAP modules. Additionally, you will be responsible for maintaining best practices, optimizing performance, and driving innovation through new SAP technologies. You should also have knowledge of emerging AI technologies such as SAP Joule, Robotic Process Automation (RPA) with AI,  AI-powered chatbots and virtual assistants etc. Additionally, you should be familiar with other programming languages like Python or Java and be prepared to conduct Proof of Concepts (POCs) to explore innovative solutions.

What You'll do:

• Build and deliver solutions for integration of AI capabilities for ABAP to accelerate Custom Code Management.
• Design, develop, and implement SAP Fiori/UI5 applications and ABAP backend solutions to meet business requirements.
• Build AI solutions using SAP Joule, MicroApps, agentic AI development
• Collaborate with functional and technical teams to define, develop, and enhance SAP UX and backend solutions.
• Develop and optimize CDS Views, OData Services, and AMDP-based data models for performance efficiency.
• Customize and configure SAP Fiori Launchpad, design intuitive UI/UX interfaces, and ensure responsive applications.
• Develop and maintain SAP workflows, enhancements, and reports using ABAP and RAP.
• Conduct code reviews, performance tuning, and implement best practices in SAP development.
• Provide technical guidance, mentor junior developers, and participate in design workshops.
• Stay updated with SAP’s latest technologies, including SAP BTP, AI/ML integration, and automation tools.
• Troubleshoot and resolve production issues, ensuring smooth system performance and user experience.
• Conduct Proof of Concepts (POCs) to evaluate new technologies and solutions for business applications.
• Build automation scripts using different automation tools like Playwright.

What you bring:

• Bachelor's Degree in Information Technology, Computer Science, Engineering, or related field.
• Minimum 10+ years of professional experience in SAP ABAP development, including at least 5+ years in SAP S/4HANA.
• Minimum 4+ years of experience in SAP Fiori/UI5 development for SAP S/4HANA.
• Minimum 2+ years of working experience as software developer in AI focused cloud application development.
• Good Experience in REST/oData API creation and consumption is beneficial
• Strong expertise in OData services, SAP Gateway, and SAP Business Application Studio.
• Experience in integration with SAP modules such as FI, BRIM, RAR
• Expertise in SAP BTP, cloud-based development, and integration capabilities.
• Familiarity with agent frameworks (ReAct) and CI/CD tools (JIRA, Git, Jenkins).
• Proficiency in Python and experience with AI frameworks.
• Proven track record in building, fine-tuning, and deploying Large Language Models, LangChain, LangGraph, and related GenAI technologies.
• Exposure to Solution Manager, Change Management (CHARM)/CALM, and Focused Build is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work in an Agile environment and collaborate with global teams.
• Certification in SAP S/4HANA, SAP Fiori/UI5 development, or SAP BTP is an added advantage.

Mandatory Skills:

•   SAP ABAP Development:
•   Strong experience in ABAP development, including Object-Oriented ABAP (OOABAP), BADI, BAPI, ALV, IDOCs, and Enhancements.
•   Expertise in developing CDS Views, AMDP, and using RAP for Fiori applications.
•   SAP FIORI/UI5 Development:
•   Strong hands-on experience with SAP UI5, JavaScript, CSS, HTML5, and jQuery.
•   Experience in SAP Business Application Studio and Web IDE.
•   Proficiency in Fiori Design patterns, UX principles, and Theme Designer.
•   Expertise in Fiori Launchpad configuration and customization.
•   SAP Gateway and OData Services:
•   Strong knowledge of SAP OData framework and troubleshooting SAP custom/standard OData services.
•   Experience in CDS-based OData services and annotations.
•   Deep understanding of MVC architecture.
•   Integration and Performance Optimization:
•   Experience with RESTful APIs, SOAP, and SAP integration technologies.
•   Strong expertise in SAP BTP, Joule, CAP, and Mobile Development Kit (MDK).
•   Experience in performance tuning of UI5 applications and backend queries.
•   Additional Skills:
•   Knowledge of Python, Java, and AI technologies(Joule, MicroApps, Agentic AI) for SAP-related innovations.
•   Expertise in SAP BTP for cloud-based solutions, integration, and extensibility.
•   Experience in conducting Proof of Concepts (POCs) to explore and validate new technological solutions.

#LI-VG1

#LI-Hybrid

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Summary: As a Principal Software Engineer at Appian, you will be the primary technical strategist, responsible for shaping the architectural foundation of our platform. Your role involves anticipating future challenges and implementing innovative solutions today. You will drive complex cross-functional initiatives, ensuring Appian remains a leader in the low-code and automation industry.

Responsibilities:

• Define the long-term architectural vision and governance for the Appian platform.
• Identify systemic technical risks and lead task forces to resolve architectural bottlenecks.
• Develop internal tools and SDKs to simplify infrastructure and enhance developer productivity.
• Conduct deep-dive troubleshooting for complex production issues.
• Promote AI-native engineering practices and integrate AI features into the platform.
• Lead the development of core platform libraries and high-risk prototypes.
• Participate in the Architectural Guild and review high-impact design documents.
• Mentor lead and senior engineers, and represent Appian in the tech community.
• Ensure operational resilience with self-healing and highly available systems.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 15+ years of software engineering experience, with significant experience in architecting large-scale distributed systems.
• Strong understanding of data structures, algorithms, and design patterns.
• Proven transformational leadership in technological migrations or strategies.
• Expertise in Java and Cloud-Native ecosystems.
• Experience with AI/ML at scale and managing AWS multi-region deployments.
• Expert-level proficiency in Java or similar languages.
• Hands-on experience with Docker, Kubernetes, and CI/CD automation.
• Knowledge of high-performance SQL, NoSQL, and Vector Databases.
• Understanding of enterprise-grade security and compliance.

Soft Skills:

• Ability to influence without authority and gain buy-in for technical shifts.
• Business acumen to connect technical decisions to financial outcomes.
• Skilled in navigating complex technical debates and consensus building.
• Passion for building a thriving engineering organization.

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

As an Application Support Engineer (Level 2) on the Global Customer Support team, you will play a pivotal role in delivering high-quality technical support while leveraging emerging AI capabilities to enhance customer experience and operational efficiency. This role provides the opportunity to deepen your technical expertise in Zuora Billing, contribute to continuous product improvement, and adopt AI-driven approaches to modernize support workflows.

• Deliver Advanced Technical Support: Provide Level 2 support for Zuora Billing by troubleshooting complex customer issues through ticketing systems and live sessions (e.g., Zoom). You will take full ownership of cases from initial investigation through resolution, ensuring timely and effective outcomes that maintain high customer satisfaction.  
• Diagnose, Triage, and Resolve Issues: Analyze and prioritize incoming issues based on severity and business impact, applying strong problem-solving skills to identify root causes. Investigate defects, document findings, and either resolve issues directly or escalate with well-defined technical context.
• Leverage AI to Enhance Support Efficiency: Utilize AI-powered tools to accelerate issue diagnosis, improve response quality, and reduce resolution times. You will also contribute to refining AI-driven support workflows by providing feedback on tool effectiveness and identifying opportunities for automation.
• Collaborate Cross-Functionally: Work closely with Engineering and Product Management teams to advocate for customer needs, contribute to defect resolution, and influence product improvements. Your insights will help shape better product functionality and reliability.
• Enhance Knowledge and Support Operations: Contribute to Knowledge-Centered Service (KCS) by creating and maintaining high-quality documentation, including solutions related to configuration, customization, and integrations. You will also manage critical escalations and ensure clear, proactive communication with stakeholders.

About You

The business outcomes you will impact include (but are not limited to):

• Provide high-quality technical support to Zuora customers via ticketing systems and live sessions (e.g., Zoom), ensuring an excellent customer experience.  
• Analyze, track, and resolve customer issues promptly to maintain high levels of client satisfaction.  
• Triage and prioritize issues based on severity, business impact, and customer urgency. 
• Collaborate closely with Engineering and Product Management teams to advocate for customer needs and drive product improvements. 
•  Investigate customer inquiries, document defects, and troubleshoot issues—resolving or escalating as needed.  
• Take full ownership of customer issues from initial report through to resolution and closure.  
• Build deep expertise in Zuora Billing from both technical and business perspectives.  
• Contribute to Knowledge-Centered Service (KCS) by documenting solutions, including configuration, customization, and integration scenarios.  
• Manage critical escalations effectively, ensuring timely communication and resolution.  
• Deliver Level 2 (L2) support specifically for the Zuora Billing product.  
• Act as a Subject Matter Expert (SME) in Billing, mentoring and guiding team members.  
• Continuously expand knowledge across the broader Zuora product suite.  Participate in a 24/7 global support model, including rotational shifts and weekend on-call duties.

Your experience and skills

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).  Minimum of 3+ years of experience in Application or Technical Support roles.  

• Experience leveraging AI tools to improve efficiency, productivity, and quality in daily work activities.

Hands-on experience with billing systems or financial enterprise applications.  Strong technical proficiency in SaaS-supporting technologies such as:  XML, REST APIs, SOAP APIs  SQL, Kibana  Web services, HTML  Java and/or JavaScript  Experience working in a 24/7 rotational shift environment.  Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.  Proven ability to collaborate effectively with global, cross-functional teams. Strong problem-solving mindset with the ability to remain composed under pressure.  Demonstrated eagerness to learn new technologies, tools, and processes in a fast-paced environment.  

About the Team

The Global Customer Support team plays a critical role at Zuora, serving as a primary point of contact for customers and a key advocate for their overall experience. The team comprises over 100+ ZEOs across multiple global locations, strategically organized by functional expertise and support tiers. These tiers are designed to address increasing levels of complexity, aligned with the corresponding skills and experience required to effectively resolve customer needs.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

We’re hiring a Senior Site Reliability Engineer to lead reliability strategy and drive AI-powered automation at scale. This role involves owning complex systems, shaping architecture, and influencing cross-functional teams.

You’ll:

• Define and evolve SLOs, SLIs, and resilience patterns
• Build AI-driven automation for detection, remediation, and forecasting
• Lead cloud infrastructure and Kubernetes platforms
• Drive incident response and operational excellence
• Mentor engineers and influence org-wide reliability practices

About You

• 8+ years of hands-on experience in Site Reliability Engineering, DevOps, or large-scale production operations.
• Advanced expertise in AWS, including architecture design across services such as EC2, EKS, VPC, IAM, RDS, S3, and CloudWatch.
• Deep experience with Infrastructure-as-Code using Terraform, including complex modules, state management, and governance.
• Strong programming and automation skills using Python and Shell; experience building production-grade automation systems.
• Expert-level Linux systems knowledge, including performance tuning, security hardening, and deep troubleshooting.
• Proven experience operating distributed systems and data streaming platforms such as Kafka in high-throughput environments.
• Demonstrated ability to work independently on complex, ambiguous problems with broad organizational impact.
• Proven technical leadership experience driving large, cross-team reliability or infrastructure initiatives, including setting technical direction, influencing design decisions, and mentoring engineers to deliver measurable outcomes at scale.

AI & Automation Expertise

• Practical experience designing or implementing AI/ML-driven automation in operations, reliability, or platform engineering.
• Experience integrating AI capabilities into monitoring, alerting, incident response, or workflow automation systems.
• Strong understanding of how AI can be safely and effectively applied in production environments.

Nice to haves:

• Experience with advanced observability platforms (Prometheus, Grafana, ELK, or similar) enhanced with AI-driven insights.
• Familiarity with predictive analytics, anomaly detection, or AIOps platforms.
• Experience influencing architectural decisions at a platform or product level.
• Prior experience operating in a 24/7, global, high-availability SaaS environment.

The Team

Zuora's Cloud Engineering team ensures the reliability, scalability, and operational excellence of global SaaS platforms, operating 24x7 with a follow-the-sun model. The team collaborates closely with Engineering, Security,Product, and Support, leveraging technologies like AWS,Kubernetes, Kafka,Terraform, and Python, with a strong focus on AI-driven operations and automation.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Role Overview

We are seeking a Staff Technical Program Manager to own the cross-team delivery machinery for a 20-person AI native engineering organization. This is not a project coordination role — it is a technical program ownership role.  You will maintain the master delivery plan across two Scrum teams and shared resources, track and resolve  
cross-team dependencies (platform teams, ARC backend, OEM integrations), manage risk before it becomes a miss, and create the delivery transparency that allows Engineering, Product, and Executive leadership to make fast, informed decisions. The best TPMs are invisible when things go well and indispensable when they don't. 

Key Responsibilities 

• Own the master delivery plan: maintain the integrated roadmap across both Scrum teams, shared resources (Architect, ML, SDET), and external platform dependencies — with milestone-level clarity at all times.  
• Track and resolve cross-team dependencies: Agentic Engine, Core Platform (Temporal, MCP Gateway, Component Framework), ARC backend (Kafka event contracts, API dependencies), Design (component specs), and external vendors (email/SMS providers).  
• Run the delivery rhythm: sprint review calendar, cross-team sync cadence, dependency review meetings, and risk escalation forums — keeping the Director and VP Engineering informed without burying them in status updates.  
• Identify, quantify, and manage delivery risks: surface blockers early, drive resolution with urgency, and maintain a live risk register with mitigation owners and timelines.  
• Own cross-team technical communication: translate engineering status into language that Product, Business, and Executive stakeholders can act on — and translate business urgency back into engineering trade-off decisions.  
• Drive the release process: define release criteria, coordinate go/no-go decisions with Engineering, QA (Staff SDET), and Product, and manage production deployments across services.  
• Manage the dependency interface to the T1 Agentic Engine team: track which Intent, Skill, Policy, and MCP tool registrations are ready, which are blocked, and what the critical path impact is.  
• Continuously improve the delivery system: identify bottlenecks in the engineering process, drive retrospectives, and implement changes that sustainably increase throughput and quality.

Skills & Qualifications 

• 12+ years of technical program management experience, with at least 3 years at Staff level managing multi team programs at SaaS or platform companies.  
• Strong technical depth: able to read architecture diagrams, understand Kafka dependency graphs, evaluate API contract blockers, and participate credibly in engineering design discussions.  
• Proven experience managing complex, multi-team delivery programs with many external dependencies — including platform dependencies outside your direct control.  
• Expert facilitation of engineering delivery rituals: sprint planning, dependency reviews, release gates, post mortems, and architecture syncs.  
• Deep understanding of AI-native product delivery: what makes AI system delivery different from traditional software (eval requirements, model versioning, non-deterministic outputs, golden dataset dependencies).  
• Excellent written communication: can produce a crisp, executive-readable status update that tells the truth clearly and drives decisions.  
• Strong stakeholder management across Engineering, Product, Design, and Executive levels — comfortable managing up, across, and down.  

 
Good to Have  

• Experience managing delivery programs that involve both Java microservices and Python AI/ML engineering teams simultaneously.  
• Familiarity with agentic AI platform concepts: intent registries, MCP tools, skill/policy authoring, and eval frameworks — enough to track technical dependency status accurately.  
• Background in automotive retail technology or dealer management systems.  
• Prior experience working in a US-India distributed engineering organization.  
 

About the Role

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.

As a Senior Customer Engineer, you own the technical customer relationship end to end. You run discovery independently, design integration and agentic workflow architectures for complex enterprise problems, and deploy solutions live with customers — often before they know exactly how to articulate what they need. You write optimized, production-grade code at speed, grounded in strong data structures and algorithms fundamentals, because compressing the time from customer problem to working solution is how FDE delivers its value. You bring genuine innovation to hard problems — your solutions are technically sound, elegant, and often non-obvious. You are the primary technical contact for 2–4 major enterprise accounts, you mentor FDEs on the team, and you are building the skills that will take you into Staff-level technical leadership.

What You'll Do

• Own complex integration and AI agent implementations end-to-end — from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts
• Design integration architectures with explicit attention to error handling, retry logic, observability, failure recovery, and multi-system authentication
• Design and deploy agentic AI workflows that orchestrate supply chain operations — from requirements through production, including regression testing and validation before each customer deployment
• Deploy AI agent workflows live with customers present — configuring and troubleshooting in the room during customer calls, not gathering requirements to build later
• Run customer discovery sessions independently — hear a business problem and propose a technically credible, innovative solution on the spot without IM or management support
• Use Claude, OpenAI, and other LLMs across the entire workflow — capturing requirements, designing integrations, generating integration specs, writing code, testing and deployment; the expectation is LLM-assisted work at every stage, not just at the keyboard
• Represent FourKites from a technical lens during presales engagements — articulate integration architecture, agentic workflow capabilities, and platform extensibility to prospective enterprise customers alongside the Solutions and Sales teams
• Join scoping and strategic customer calls alongside the SCA team to tackle the highest-complexity technical and product questions — come in with a point of view, not just answers
• Perform code reviews on integration and AI workflow work from FDEs and enforce quality standards before deployment
• Mentor FDEs — pair on hard problems, review their work consistently, and take accountability for their growth
• Identify reusable integration patterns and AI workflow templates and formalize them for the team library
• Scope and estimate level of effort for projects accurately and hold yourself accountable to those estimates
• Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes
  
  

What We're Looking For

• 5–8 years of software engineering experience, with meaningful depth in integration engineering, system design, or a customer-facing technical role — what matters is the complexity and ownership of what you have built
• Strong proficiency in Java (required) and one or more of: Python or Ruby - writes clean, production-grade code with test coverage, clear design rationale, and a standard other engineers can follow
• Strong foundations in data structures and algorithms — designs systems that perform at scale, reasons about complexity tradeoffs under pressure, and makes the right architectural call for high-throughput, low-latency integration scenarios
• Strong software design skills — architects integration and AI workflow systems that are modular, resilient, observable, and built to evolve; can articulate the design, defend the tradeoffs, and produce a diagram that makes it legible to others
• Writes optimized code at speed — takes a customer problem from discovery to deployed solution faster than traditional development cycles; the ability to compress the build cycle without compromising quality is what enables customers to move faster
• Innovative problem solver — brings genuine creativity to hard integration and AI workflow challenges; finds approaches that are technically sound, elegant, and often non-obvious; complexity doesn't slow you down, it sharpens your thinking
• Deep expertise in enterprise integration patterns and how to apply them across complex, multi-system — knows when to apply which approach and can justify the tradeoffs
• Hands-on experience designing and deploying agentic AI workflows end-to-end using LangGraph or equivalent — not configuring templates, architecting systems
• Uses Claude, OpenAI, or equivalent LLMs across the full workflow — requirements documentation, integration design, spec generation, code generation, testing and deployment; treats LLMs as a core engineering capability, not a productivity shortcut
• Proven ability to run technical discovery sessions with enterprise customers independently and translate ambiguous business requirements into concrete technical specs
• Comfortable deploying agentic workflows live in a customer call — handles configuration, troubleshooting, and edge cases in the moment
• Strong SQL proficiency — writes queries to investigate customer data issues and validate integration output

Preferred Qualifications

• Experience in supply chain, logistics, transportation, or B2B SaaS platforms is a strong plus
• Deep familiarity with enterprise integration patterns and a track record of applying them to complex, multi-system enterprise environments
• Familiarity with EDI standards, carrier integrations, TMS/WMS systems, and supply chain data flows
• Experience with low-code/no-code workflow automation platforms such as Pipedream, n8n, Temporal, or equivalent
• Snowflake experience and familiarity with large-scale data investigation across multi-tenant environments
• Proficient with Lucidchart, Miro, draw.io, or similar tools to document and communicate integration architectures and agentic workflow designs visually — customers and internal stakeholders should be able to read your design without needing to ask what it means

Background working in a Forward Deployment, Field Engineering, or similar customer-embedded technical role


Who we are:

FourKites®, the leader in AI-driven supply chain transformation for global enterprises and pioneer of advanced real-time visibility, turns supply chain data into automated action. FourKites’ Intelligent Control Tower™ breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery — helping 1,600+ global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration.

FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to generous PTO and standard holidays. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. We're always listening for new ways to support everyone in and out of the office. 

Benefits

• Medical  benefits start on first day of employment
• 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days 
• Home Office set ups and Technology reimbursement
• Lifestyle & Family benefits 
• Mental Wellness support and guidance 
• Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)

FourKites is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.