Job Description

We’re seeking a hands-on Senior Data Architect to design and modernize scalable, AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS, PySpark, and Python, and experience migrating legacy Java-based scripts to Spark frameworks while ensuring data quality, scalability, and performance.

Key Responsibilities

• Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
• Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
• Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
• Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
• Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
• Implement standards for data quality, governance, performance optimization, and security.
• Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.

Skills and Experience

• 15+ years of experience in data engineering or architecture, with strong hands-on development background.
• Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
• Strong understanding of AWS data ecosystem — including Glue, EMR, S3, Redshift, and Lambda.
• Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
• Solid foundation in data lake, data warehouse, and cloud-native architecture design.
• Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
• Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
• Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
• Experience with GIT, Jenkins, & AWS
• Expertise in performance optimization and cost management for cloud environments
• Ability to manage multiple projects and priorities in a fast-paced environment
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional

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 

 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

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.

Senior Software Software Engineer – (Full Stack):

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

A day in the life (Responsibilities)

• Independently design and implement well-defined features across the full stack with minimal day-to-day guidance.
• Collaborate with Product Managers, UX designers, QA, and fellow engineers to translate requirements into working software.
• Develop and maintain frontend features using React or Angular, focusing on usability and performance.
• Contribute to backend services using Java, Kotlin, or .NET (expertise in one is sufficient; .NET is not mandatory).
• Build and consume RESTful APIs and integrate with internal systems.
• Write clean, maintainable, and testable code aligned with Toast engineering standards.
• Participate actively in code reviews—both receiving and providing constructive feedback.
• Troubleshoot production and non-production issues within owned areas and contribute to root-cause analysis.
• Use Gradle or Maven, Git, and standard development workflows effectively.
• Apply AI-assisted development tools (e.g., Claude Code, Cursor, Devin) to improve development speed and quality.
• Support team delivery during critical phases when needed, including production issues and urgent fixes.
• Consistently delivers on commitments with predictable cycle time for scoped work.
• Demonstrates ownership of components or features but does not yet own large systems end-to-end.
• Understands and follows established architectural patterns and engineering best practices.
• Proactively communicates progress, risks, and dependencies.
• Seeks feedback and continuously improves technical depth and execution quality.

What you'll need to thrive (Requirements):

• A minimum of Bachelor’s degree in any area, or any other related discipline.
• 6+ years of experience in software or full-stack development.
• Strong hands-on experience with frontend frameworks such as React or Angular.
• Solid backend development experience in Java, Kotlin, or .NET.
• Experience building and consuming RESTful APIs.
• Proficiency with Git and modern branching workflows.
• Working knowledge of SQL and NoSQL databases, including basic schema design and querying.
• Experience with cloud platforms, preferably AWS.
• Familiarity with Gradle or Maven for build and dependency management.
• Experience working in Agile/Scrum teams.
• Strong problem-solving skills and attention to code quality.
• Effective written and verbal communication skills.

Nice-to-Have 

• Exposure to AI-assisted development tools (Claude Code, Cursor, Devin).
• Basic understanding of CI/CD pipelines and deployment workflows.
• Experience working in a large-scale SaaS or product engineering environment.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

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 

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.

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 App of the Day.

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

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas 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
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: 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 Design award winner for inclusivity for 2025.

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

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

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.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

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.  

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.

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.

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

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.

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).

We’re ideally looking for someone who is comfortable across the entire stack and can take ownership of feature delivery from design to deployment. The ideal candidate should have:

• 5+ years of experience with Python and FastAPI (async programming)
• Experience with Redis caching patterns and cache invalidation strategies
• Experience with event-driven architectures (Pub/Sub, SNS/SQS, or similar message brokers)
• Familiarity with SQLAlchemy ORM and relational database patterns
• Experience writing comprehensive test suites (pytest, integration testing)
• Comfortable with REST API design and microservices communication patterns
• Experience with AI-assisted development tools (Cursor, Copilot, Claude Code)
• Experience with Git and CI/CD pipelines

Nice to Have

• Experience with Strapi CMS or similar headless CMS platforms
• Experience with both GCP and AWS cloud services
• Familiarity with i18n patterns (locale handling, translation key management)
• Experience in Java and typescript

Job Overview:

We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms using Microsoft Fabric, Databricks (and/or Snowflake). The role focuses on designing reliable data pipelines, lakehouse and warehouse models, and semantic layers that enable enterprise analytics, BI, and AI/Gen AI use cases.

You will work closely with analytics, BI, and data science teams to deliver high-quality, performant, and governed data solutions, while driving best practices in data engineering, optimization, and platform design.

Key Responsibilities

• Design, build, and maintain end-to-end data solutions on Microsoft Fabric, Databricks, including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Implement scalable data ingestion, transformation, and loading (ETL/ELT) using Fabric Pipelines and PySpark.
• Develop robust data models and schemas optimized for analytics, reporting, and AI-driven consumption.
• Create and maintain semantic models to support Power BI and enterprise BI solutions.
• Engineer high-performance data solutions that meet requirements for throughput, scalability, quality, and security.
• Author efficient PySpark and SQL code for large-scale data transformation, data quality management, and business rule processing.
• Build reusable framework components for metadata-driven pipelines and automation.
• Optimize Lakehouse and Data Warehouse performance, including partitioning, indexing, Delta optimization, and compute tuning.
• Develop and maintain stored procedures and advanced SQL logic for operational workloads.
• Design and prepare feature-ready datasets for AI and GenAI applications.
• Collaborate with data scientists and ML engineers to productionize AI pipelines.
• Implement data governance and metadata practices required for responsible AI.
• Leverage Fabric, Databricks capabilities to orchestrate and monitor AI-related data workflows.
• Apply data governance, privacy, and security standards across all engineered assets.
• Implement monitoring, alerting, and observability best practices for pipelines and compute workloads.
• Drive data quality initiatives, including validation frameworks, profiling, and anomaly detection.
• Partner with analytics, BI, data science, and product teams to understand requirements and translate them into technical solutions.
• Mentor junior engineers and contribute to engineering standards and patterns.
• Participate in architecture reviews, technical design sessions, and roadmap planning.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 7+ years of professional experience in data engineering or a related discipline.
• Mandatory hands-on expertise with Microsoft Fabric, Databricks or Snowflake including:
  • Pipelines
  • Notebooks
  • Lakehouse
  •  Data Warehouse
  • Semantic Models
• Advanced proficiency in PySpark for distributed data processing.
• Strong command of SQL for analytical and operational workloads.
• Experience developing and optimizing stored procedures and complex SQL transformations.
• Understanding of GenAI architectures, vectorization, embedding pipelines, and data preparation for LLM use cases.
• Strong knowledge of data modeling, ETL/ELT patterns, and modern data lakehouse principles.
• Experience designing and optimizing large-scale data pipelines in cloud environments (Azure preferred).
• Excellent problem-solving skills with the ability to analyze complex data workflows.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Summary: We are seeking a Lead Software Engineer (LSE) to drive the design and evolution of our cloud-native platform. This role is responsible for owning end-to-end platform capabilities, shaping architectural direction, and ensuring high standards of scalability, reliability, and developer experience. As a Lead Engineer, you will operate at the intersection of architecture, execution, and team leadership, working across squads to build cohesive and future-ready platform solutions.

Responsibilities:

• Develop platform features to the highest engineering standards with an AI-first mindset.
• Spike robust solutions to clear architectural runway ahead of platform feature development.
• Take personal responsibility for the overall technical performance of the team, including capabilities, quality, stability, and velocity.
• Perform code reviews focusing on code quality, design, and implementation.
• Regularly identify opportunities for code refactoring and performance optimizations, and champion these efforts within the team.
• Mentor junior software engineers by sharing best practices and providing guidance on proficiency.
• Identify technical constraints to engineering effectiveness and lead initiatives to address them.
• Advise product management on technical opportunities and constraints.
• Identify, understand, and implement technology trends and innovations relevant to the Appian Platform.
• Effectively communicate technical designs verbally, visually, and in writing for technical audiences of all sizes.
• Contribute to Appian's long-term documentation by publishing relevant, high-quality content to the Engineering's technical documentation site.

Required Skills:

• 12+ years of proven experience as a Lead Engineer with a strong focus on AWS.
• Deep hands-on experience with AWS services including EC2, Auto Scaling, EKS, ECS, Lambda, VPC, ALB/NLB, Route 53, PrivateLink, EBS, EFS, S3, IAM, KMS, and Secrets Manager.
• Experience with programming languages such as Java, Python, or GoLang.
• Strong proficiency in Infrastructure as Code using Terraform or any equivalent.
• Strong proficiency in Kubernetes.
• Experience with implementing and managing logging and monitoring solutions such as CloudWatch and CloudTrail.
• Demonstrated ability to track, analyze, and optimize AWS cloud costs.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Summary: We are seeking a Lead Software Engineer (LSE) to drive the design and evolution of our cloud-native platform. This role is responsible for owning end-to-end platform capabilities, shaping architectural direction, and ensuring high standards of scalability, reliability, and developer experience. As a Lead Engineer, you will operate at the intersection of architecture, execution, and team leadership, working across squads to build cohesive and future-ready platform solutions.

Responsibilities:

• Develop platform features to the highest engineering standards with an AI-first mindset.
• Spike robust solutions to clear architectural runway ahead of platform feature development.
• Take a high degree of personal responsibility for the overall technical performance of the team, including capabilities, quality, stability, and velocity.
• Perform code reviews that provide feedback not only on code quality but also on design and implementation.
• Identify opportunities for code refactoring and performance optimizations regularly and champion these efforts within the team.
• Mentor junior software engineers by sharing best practices and providing guidance on becoming more proficient.
• Identify technical constraints to engineering effectiveness and lead initiatives to address them.
• Advise product management on technical opportunities and constraints.
• Identify, understand, and bring to fruition technology trends and innovations relevant to Appian Platform.
• Effectively communicate technical designs verbally, visually, and/or in writing for small to large-sized technical audiences.
• Contribute to Appian's long-term documentation by publishing relevant, high-quality content to Engineering's technical documentation site.

Required Skills:

• 12+ years of proven experience as a Lead Engineer with a strong focus on AWS.
• Deep hands-on experience with AWS services including Compute (EC2, Auto Scaling, EKS, ECS, Lambda), Networking (VPC, ALB/NLB, Route 53, PrivateLink), Storage (EBS, EFS, S3), and Security (IAM, KMS, Secrets Manager).
• Experience with Java, Python, or GoLang programming languages.
• Strong proficiency in Infrastructure as Code - Terraform or any equivalent.
• Strong proficiency in Kubernetes.
• Experience with implementing and managing logging and monitoring solutions (e.g., CloudWatch, CloudTrail).
• Demonstrated ability to track, analyze, and optimize AWS cloud costs.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

The Mission

As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution.

You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy.

Key Responsibilities

The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future.

• Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star."
• Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns.
• AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelligent and autonomous.
• Architectural Governance: Set and enforce the "gold standard" for system design and code quality. You ensure that the codebase remains modular, maintainable, and free of crippling technical debt.
• Developer Multiplier: Create the "Golden Paths" and internal frameworks that empower other engineering teams to ship faster. You build the tools that make every other engineer more productive.
• High-Stakes Problem Solving: Act as the final escalation point for the "un-debuggable." You lead the resolution of critical production outages and architect long-term fixes for deep-seated performance bottlenecks.
• Mentorship & Influence: Cultivate a culture of excellence. You mentor Senior Engineers into future Leads and foster a high-growth environment through rigorous design reviews and technical coaching.

Required Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Educational background from a highly selective, premier engineering institution with a focus on Computer Science fundamentals is preferred

Experience:

• 10+ years of professional software engineering experience.
• Strong understanding of data structures, algorithms, design patterns, object-oriented as well as functional programming.
• Proven track record of leading technical initiatives from conception to global production deployment.
• Deep expertise in Java & modern web technologies, with a mastery of data structures, algorithms, and complex design patterns.
• Extensive experience building and scaling distributed systems in AWS cloud-native environments and modernization of applications/platforms.
• Strong knowledge of enterprise application architecture.
• Experience managing "large-scale" codebases where performance optimization and bottleneck identification are critical.
• Experience in AI/ML integration, specifically implementing intelligent features like RAG or agentic workflows into enterprise software is preferred.
  Experience with using AI tools and models like Amazon Q, Kiro, Claude is preferred.

Technical Skills:

• Full-Stack Authority: Expert-level proficiency in Java or similar major languages.
• Infrastructure & Orchestration: Hands-on experience with Docker, Kubernetes, and advanced CI/CD automation.
• Observability: Deep familiarity with performance monitoring and alerting stacks (e.g., Grafana, Prometheus, ELK).
• Cloud & Data: Strong experience with AWS services and modern database technologies (Relational, NoSQL, and Vector databases).
• Security & Compliance: Strong understanding of enterprise-grade security, including OAuth2, OIDC, and data encryption at rest/transit.

Soft Skills

• Strategic Communication: The ability to influence stakeholders and explain the "why" behind complex technical trade-offs in terms of business value.
• Systems Thinking: The ability to see how a change in one microservice ripples across the entire ecosystem.
• Radical Accountability: A bias for action and a sense of ownership over the entire platform’s stability and success.
• Mentorship: A genuine passion for leveling up the collective intelligence of the engineering organization.

The Mission

As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution.

You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy.

Key Responsibilities

The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future.

• Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star."
• Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns.
• AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelligent and autonomous.
• Architectural Governance: Set and enforce the "gold standard" for system design and code quality. You ensure that the codebase remains modular, maintainable, and free of crippling technical debt.
• Developer Multiplier: Create the "Golden Paths" and internal frameworks that empower other engineering teams to ship faster. You build the tools that make every other engineer more productive.
• High-Stakes Problem Solving: Act as the final escalation point for the "un-debuggable." You lead the resolution of critical production outages and architect long-term fixes for deep-seated performance bottlenecks.
• Mentorship & Influence: Cultivate a culture of excellence. You mentor Senior Engineers into future Leads and foster a high-growth environment through rigorous design reviews and technical coaching.

Required Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Educational background from a highly selective, premier engineering institution with a focus on Computer Science fundamentals is preferred

Experience:

• 10+ years of professional software engineering experience.
• Strong understanding of data structures, algorithms, design patterns, object-oriented as well as functional programming.
• Proven track record of leading technical initiatives from conception to global production deployment.
• Deep expertise in Java & modern web technologies, with a mastery of data structures, algorithms, and complex design patterns.
• Extensive experience building and scaling distributed systems in AWS cloud-native environments and modernization of applications/platforms.
• Strong knowledge of enterprise application architecture.
• Experience managing "large-scale" codebases where performance optimization and bottleneck identification are critical.
• Experience in AI/ML integration, specifically implementing intelligent features like RAG or agentic workflows into enterprise software is preferred.
  Experience with using AI tools and models like Amazon Q, Kiro, Claude is preferred.

Technical Skills:

• Full-Stack Authority: Expert-level proficiency in Java or similar major languages.
• Infrastructure & Orchestration: Hands-on experience with Docker, Kubernetes, and advanced CI/CD automation.
• Observability: Deep familiarity with performance monitoring and alerting stacks (e.g., Grafana, Prometheus, ELK).
• Cloud & Data: Strong experience with AWS services and modern database technologies (Relational, NoSQL, and Vector databases).
• Security & Compliance: Strong understanding of enterprise-grade security, including OAuth2, OIDC, and data encryption at rest/transit.

Soft Skills

• Strategic Communication: The ability to influence stakeholders and explain the "why" behind complex technical trade-offs in terms of business value.
• Systems Thinking: The ability to see how a change in one microservice ripples across the entire ecosystem.
• Radical Accountability: A bias for action and a sense of ownership over the entire platform’s stability and success.
• Mentorship: A genuine passion for leveling up the collective intelligence of the engineering organization.

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