Data Scientist Jobs

Description Are you interested in shaping the future of entertainment? Prime Video's technology, marketing, and operations teams are creating the best-in-class digital video experience. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. Prime Video APAC and ANZ team is seeking a curious, resourceful, and experienced Data Engineer to develop a scalable data warehouse architecture and performant data models that powers our analytical ecosystem and day-to-day decision making. The team presents an exciting opportunity to work on very large data sets in one of the world's largest data warehouse environments. Our data warehouse is built on AWS cloud technologies such as Spectrum and Redshift for performing ETL processing of TBs of relational data. As a Senior Data Engineer in this team, you will solve big data warehousing problems on a large scale. You will apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and enabling self-service. You will focus on automation and optimization for all areas of DW/ETL maintenance and deployment. You will work closely with our business intelligence engineers, data scientists as well as marketing and content acquisition teams on many non-standard and unique business problems and use creative problem solving to deliver actionable output. The role of data engineer in Amazon requires excellent technical skills in order to develop systems and tools to process data as well as, but not limited to, the ability to analyze data. Your work will have a direct impact on the day-to-day decision making in the Prime Video team. The successful candidate will be a self-starter who is comfortable with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. Basic Qualifications • 3+ years of data engineering experience • Experience with data modeling, warehousing and building ETL pipelines • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS • Experience mentoring team members on best practices • Ability to write high quality, maintainable, and robust code (often in SQL) Preferred Qualifications • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR • Experience operating large data warehouses • Experience Amazon Redshift and other AWS techonolgies Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Maharashtra Job ID: A10504833

Description Are you interested in shaping the future of entertainment? Prime Video's technology, marketing, and operations teams are creating the best-in-class digital video experience. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. Prime Video APAC and ANZ team is seeking a curious, resourceful, and experienced Data Engineer to develop a scalable data warehouse architecture and performant data models that powers our analytical ecosystem and day-to-day decision making. The team presents an exciting opportunity to work on very large data sets in one of the world's largest data warehouse environments. Our data warehouse is built on AWS cloud technologies such as Spectrum and Redshift for performing ETL processing of TBs of relational data. As a Senior Data Engineer in this team, you will solve big data warehousing problems on a large scale. You will apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and enabling self-service. You will focus on automation and optimization for all areas of DW/ETL maintenance and deployment. You will work closely with our business intelligence engineers, data scientists as well as marketing and content acquisition teams on many non-standard and unique business problems and use creative problem solving to deliver actionable output. The role of data engineer in Amazon requires excellent technical skills in order to develop systems and tools to process data as well as, but not limited to, the ability to analyze data. Your work will have a direct impact on the day-to-day decision making in the Prime Video team. The successful candidate will be a self-starter who is comfortable with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. Basic Qualifications • 3+ years of data engineering experience • Experience with data modeling, warehousing and building ETL pipelines • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS • Experience mentoring team members on best practices • Ability to write high quality, maintainable, and robust code (often in SQL) Preferred Qualifications • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR • Experience operating large data warehouses • Experience Amazon Redshift and other AWS techonolgies Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Maharashtra Job ID: A10504833

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a highly skilled CFRP (Carbon Fiber Reinforced Polymer) Manufacturing Engineer with a strong background in aerospace composite fabrication. The ideal candidate brings hands-on experience with Toray prepreg materials, CNC routing, bonding preparation, autoclave operations, composite curing, and has supported new facility startups as well as capital equipment specification and sourcing. This role will be instrumental in developing, optimizing, and scaling advanced composite manufacturing processes for aerospace applications. Key Responsibilities: • Develop and optimize manufacturing processes for CFRP components using Toray prepreg systems. • Lead or support new facility startups, including layout planning, utilities coordination, equipment selection, installation, and commissioning. • Specify, source, validate, and maintain capital equipment such as autoclaves, CNC routers, ovens, and bonding tools. • Program and operate CNC routers for precision trimming and drilling of composite structures. • Oversee bonding preparation processes, including surface treatment, adhesive application, and cure cycle optimization. • Manage autoclave operations, including recipe development, cycle optimization, and maintenance coordination. • Apply expertise in composite curing processes—thermal profiles, pressure cycles, and material-specific requirements—to ensure optimal part quality and structural integrity. • Create and maintain detailed work instructions, process documentation, and tooling specifications. • Collaborate with engineering, quality, and production teams to ensure manufacturability and compliance with aerospace standards. • Troubleshoot production issues and implement corrective actions to improve yield, reduce scrap, and enhance overall process efficiency. • Support New Product Introduction (NPI), continuous improvement activities, and lean/Six Sigma initiatives. Qualifications Education: Bachelor's degree in mechanical engineering, Aerospace Engineering, Materials Science, or a related field. Experience: • Minimum of 10 years of aerospace composite manufacturing experience, specifically with CFRP. • Demonstrated expertise with prepreg materials including handling, layup, and curing. • Proficiency in CNC routing, fixture design, and CAM programming for composite materials. • Strong knowledge of adhesive bonding preparation and techniques. • Hands-on experience with autoclave operations and composite curing cycles. • Proven experience supporting new facility setup, equipment layout, and process commissioning. • Demonstrated ability to specify, procure, and validate capital equipment for composite manufacturing. • Proficiency in CAD/CAM software such as SolidWorks, Autodesk, or Mastercam. • Strong analytical, problem-solving, and communication skills. Preferred Qualifications: • Project Management Professional (PMP). • Six Sigma or Lean certification. Soft Skills: • Strong communication skills and the ability to work cross-functionally with engineering, quality, and production. • Excellent technical writing and documentation capabilities. • Highly skilled in troubleshooting complex manufacturing challenges. • Strong attention to detail and a commitment to high-quality results. • Effective organizational and project management abilities. Technology Stack: • Experience with CAD/CAM software such as SolidWorks, Autodesk Inventor, CATIA, or Mastercam. • Familiarity with CNC programming interfaces and routing systems. • Use of manufacturing documentation tools and digital recordkeeping systems. • Knowledge of autoclave control systems, instrumentation, and data acquisition tools. Physical Requirements • Ability to work in a manufacturing environment around machinery, ovens, and autoclaves. This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a highly skilled CFRP (Carbon Fiber Reinforced Polymer) Manufacturing Engineer with a strong background in aerospace composite fabrication. The ideal candidate brings hands-on experience with Toray prepreg materials, CNC routing, bonding preparation, autoclave operations, composite curing, and has supported new facility startups as well as capital equipment specification and sourcing. This role will be instrumental in developing, optimizing, and scaling advanced composite manufacturing processes for aerospace applications. Key Responsibilities: • Develop and optimize manufacturing processes for CFRP components using Toray prepreg systems. • Lead or support new facility startups, including layout planning, utilities coordination, equipment selection, installation, and commissioning. • Specify, source, validate, and maintain capital equipment such as autoclaves, CNC routers, ovens, and bonding tools. • Program and operate CNC routers for precision trimming and drilling of composite structures. • Oversee bonding preparation processes, including surface treatment, adhesive application, and cure cycle optimization. • Manage autoclave operations, including recipe development, cycle optimization, and maintenance coordination. • Apply expertise in composite curing processes—thermal profiles, pressure cycles, and material-specific requirements—to ensure optimal part quality and structural integrity. • Create and maintain detailed work instructions, process documentation, and tooling specifications. • Collaborate with engineering, quality, and production teams to ensure manufacturability and compliance with aerospace standards. • Troubleshoot production issues and implement corrective actions to improve yield, reduce scrap, and enhance overall process efficiency. • Support New Product Introduction (NPI), continuous improvement activities, and lean/Six Sigma initiatives. Qualifications Education: Bachelor's degree in mechanical engineering, Aerospace Engineering, Materials Science, or a related field. Experience: • Minimum of 10 years of aerospace composite manufacturing experience, specifically with CFRP. • Demonstrated expertise with prepreg materials including handling, layup, and curing. • Proficiency in CNC routing, fixture design, and CAM programming for composite materials. • Strong knowledge of adhesive bonding preparation and techniques. • Hands-on experience with autoclave operations and composite curing cycles. • Proven experience supporting new facility setup, equipment layout, and process commissioning. • Demonstrated ability to specify, procure, and validate capital equipment for composite manufacturing. • Proficiency in CAD/CAM software such as SolidWorks, Autodesk, or Mastercam. • Strong analytical, problem-solving, and communication skills. Preferred Qualifications: • Project Management Professional (PMP). • Six Sigma or Lean certification. Soft Skills: • Strong communication skills and the ability to work cross-functionally with engineering, quality, and production. • Excellent technical writing and documentation capabilities. • Highly skilled in troubleshooting complex manufacturing challenges. • Strong attention to detail and a commitment to high-quality results. • Effective organizational and project management abilities. Technology Stack: • Experience with CAD/CAM software such as SolidWorks, Autodesk Inventor, CATIA, or Mastercam. • Familiarity with CNC programming interfaces and routing systems. • Use of manufacturing documentation tools and digital recordkeeping systems. • Knowledge of autoclave control systems, instrumentation, and data acquisition tools. Physical Requirements • Ability to work in a manufacturing environment around machinery, ovens, and autoclaves. This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Why SoftwareOne? SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI. Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference. Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers. The role Are you passionate about building AI solutions that solve real customer challenges? Do you enjoy taking AI products from architecture and development through to deployment, monitoring, and optimization? Are you excited by the opportunity to work across cloud, MLOps, and modern AI technologies to deliver measurable customer value? At SoftwareOne, we help organizations unlock the value of cloud, data, and AI through innovative technology solutions. We are looking for an AI Software Engineer to design, build, deploy, and optimize production-ready AI solutions that help customers achieve their business goals and accelerate AI adoption. As an AI Software Engineer, you will work across the full AI product lifecycle, from solution architecture and model deployment to performance optimization and ongoing reliability. Collaborating closely with data scientists, engineers, and customer-facing teams, you will help transform AI concepts into scalable, secure, and high-performing production solutions. Your key responsibilities: • Designing, deploying, and optimizing AI and machine learning solutions in production environments. • Building scalable pipelines for real-time inference, batch processing, and model-serving use cases. • Developing secure and reliable APIs and services that expose AI capabilities to customers and business applications. • Implementing MLOps practices, including CI/CD pipelines, monitoring, logging, alerting, and performance tracking. • Collaborating with data scientists and technical teams to convert research models into production-ready solutions. • Identifying architectural improvements, improving platform reliability, and staying current with emerging AI and ML technologies. What we need to see from you • 4 + yrs of experience in AI, machine learning, or software engineering roles with exposure to production deployments. • Strong Python programming skills and ability to build reliable, maintainable software solutions. • Hands-on knowledge of APIs, model serving, containerization, and cloud-based deployment approaches. • Familiarity with Docker, Kubernetes, cloud platforms, and Infrastructure as Code tools such as Terraform. • Understanding of SQL, NoSQL, vector databases, and data pipelines used in AI or ML workflows. • Clear communication skills with the ability to explain technical decisions to both engineering teams and business stakeholders. Job Function Services

Why SoftwareOne? SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI. Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference. Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers. The role Are you passionate about building AI solutions that solve real customer challenges? Do you enjoy taking AI products from architecture and development through to deployment, monitoring, and optimization? Are you excited by the opportunity to work across cloud, MLOps, and modern AI technologies to deliver measurable customer value? At SoftwareOne, we help organizations unlock the value of cloud, data, and AI through innovative technology solutions. We are looking for an AI Software Engineer to design, build, deploy, and optimize production-ready AI solutions that help customers achieve their business goals and accelerate AI adoption. As an AI Software Engineer, you will work across the full AI product lifecycle, from solution architecture and model deployment to performance optimization and ongoing reliability. Collaborating closely with data scientists, engineers, and customer-facing teams, you will help transform AI concepts into scalable, secure, and high-performing production solutions. Your key responsibilities: • Designing, deploying, and optimizing AI and machine learning solutions in production environments. • Building scalable pipelines for real-time inference, batch processing, and model-serving use cases. • Developing secure and reliable APIs and services that expose AI capabilities to customers and business applications. • Implementing MLOps practices, including CI/CD pipelines, monitoring, logging, alerting, and performance tracking. • Collaborating with data scientists and technical teams to convert research models into production-ready solutions. • Identifying architectural improvements, improving platform reliability, and staying current with emerging AI and ML technologies. What we need to see from you • 4 + yrs of experience in AI, machine learning, or software engineering roles with exposure to production deployments. • Strong Python programming skills and ability to build reliable, maintainable software solutions. • Hands-on knowledge of APIs, model serving, containerization, and cloud-based deployment approaches. • Familiarity with Docker, Kubernetes, cloud platforms, and Infrastructure as Code tools such as Terraform. • Understanding of SQL, NoSQL, vector databases, and data pipelines used in AI or ML workflows. • Clear communication skills with the ability to explain technical decisions to both engineering teams and business stakeholders. Job Function Services

Area(s) of responsibility Data Scientist / AI-ML Practitioner Role Overview We are seeking professionals with strong expertise in: • Machine Learning and Predictive Analytics • Generative AI and Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) and Agentic AI • Python, SQL, Databricks, and modern data science platforms • Supply Chain Analytics, Forecasting, Risk Prediction, and Intelligent Automation The role will focus on developing, deploying, and maintaining AI/ML solutions to improve supply chain visibility, decision-making, and operational efficiency.

Gen AI / LLM Backend Developer Experience : 5 – 8 Years Location : Ahmedabad, Gujarat, India Mode of Engagement : Full-time Open Positions : 2 – 4 Educational Qualification : B. E / B. Tech / M. Tech / MCA / Computer Science or related field Industry Preference: AI / Saa S / Software Product / IT Services / Data Engineering Companies Notice Period : Immediate Joiners Preferred What We Are Looking For 5 – 8 years of hands-on experience in backend software development and distributed systems. Strong expertise in Python, Node.js, or Java for backend application development. Hands-on experience building and deploying Generative AI and LLM-powered applications. Experience working with Open AI, Azure Open AI, Anthropic, Gemini, or open-source LLMs. Strong understanding of Prompt Engineering, Prompt Chaining, Function Calling, and Agentic AI workflows. Experience implementing Retrieval Augmented Generation (RAG) pipelines and contextual AI systems. Hands-on experience with vector databases such as Pinecone, Milvus, FAISS, Chroma DB, or similar platforms. Strong experience designing and developing RESTful APIs, Graph QL APIs, and microservices architectures. Experience working with SQL and No SQL databases such as Postgre SQL, My SQL, Mongo DB, Dynamo DB, or Redis. Hands-on experience with AWS, Azure, or Google Cloud Platform. Strong experience deploying and managing applications using Docker, Kubernetes, and containerized environments. Experience building CI/CD pipelines and implementing Dev Ops best practices. Good understanding of AI/ML workflows, model lifecycle management, monitoring, and observability. Experience implementing authentication, authorization, API security, rate limiting, and compliance controls. Strong debugging, performance optimization, and problem-solving skills. Ability to work independently and manage multiple development initiatives simultaneously. Candidates should be based in Ahmedabad or willing to relocate to Ahmedabad, Gujarat. Prior experience in AI, Saa S, Software Product, or Data Engineering organizations is highly preferred. Responsibilities Design, develop, and maintain scalable backend services for Generative AI and LLM-powered applications. Build and integrate REST APIs, Graph QL APIs, and microservices to support AI-driven platforms. Implement and optimize Retrieval Augmented Generation (RAG) pipelines and vector search architectures. Integrate Open AI, Azure Open AI, Anthropic, Gemini, and open-source LLMs into production applications. Design and manage prompt orchestration, context management, and AI workflow automation. Develop scalable data processing and retrieval systems for AI applications. Optimize AI application performance, latency, reliability, and infrastructure costs. Build and maintain integrations with vector databases, SQL databases, and No SQL systems. Deploy, monitor, and scale applications using cloud-native technologies and containerized environments. Implement security, compliance, authentication, authorization, and API governance best practices. Collaborate closely with Data Scientists, ML Engineers, Product Teams, and Frontend Developers. Participate in architecture discussions, code reviews, technical documentation, and engineering best practices. Monitor AI workloads and implement observability frameworks including logging, metrics, and alerting. Continuously evaluate emerging Gen AI technologies and recommend improvements to existing systems. Qualifications Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, or related field. Strong foundation in software engineering principles, backend architecture, and distributed systems. Experience working with cloud-native architectures and modern Dev Ops practices. Familiarity with AI/ML concepts, model deployment workflows, and LLM ecosystems. Experience with Lang Chain, Llama Index, Semantic Kernel, Crew AI, Auto Gen, or similar frameworks will be an added advantage. Exposure to MLOps, model monitoring, and AI governance practices is preferred. Prior experience working in product engineering teams or AI-focused organizations is preferred.

About the Company: Live Your Best Life (LYBL) is a health tech company redefining how chronic conditions are treated. We combine time-honored Ayurvedic traditions with the precision of modern science, AI/ML powered technology, advanced supplement delivery systems, and personalized care to address root-cause health issues like anxiety, diabetes, gut health, and women’s wellness. Backed by a cross-functional team of clinicians, scientists, and technologists, LYBL delivers holistic, evidence-based care through a seamless, mobile-first experience - making integrative healthcare more accessible, effective, and human. Job Overview We are looking for an analytical, results-driven back-end developer who will work with team members to troubleshoot and improve current back-end applications and processes. The Back-end Developer Intern will use his or her understanding of programming languages and tools to analyze current codes and industry developments, formulate more efficient processes, solve problems, and create a more seamless experience for users. You should have excellent communication, computer, and project management skills. Job Location: Remote You are a good fit if You: - Currently persuing btech/BE in Computer Science, IT or any other field - Have a Hands-on expert on Java - Have done production debugging and monitoring tools like new-relic, pager duty What you’ll do? - Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement. - Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience. - Developing ideas for new programs, products, or features by monitoring industry developments and trends. - Recording data and reporting it to proper parties, such as clients or leadership. - Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. What do you need for this Role? - Bachelor’s degree in computer programming, computer science, or a related field. - Fluency or understanding of specific languages, such as Java, PHP, or Python, and operating systems may be required. - Robust understanding of the web development cycle and programming techniques and tools. - Focus on efficiency, user experience, and process improvement. - Excellent project and time management skills. - Strong problem-solving and verbal and written communication skills. - Ability to work independently or with a group. We are waiting for you to Live Your Best Life @ LYBL :)

JOB LEVEL P40 EMPLOYEE ROLE Individual Contributor Computer Scientist 2 - Software Development Engineer (Full Stack) — Firefly Enterprise (P40) Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to imagine, create, and deliver exceptional digital experiences. We're on a mission to hire the very best and believe the next big idea could be yours. The Opportunity Computer Scientist 2 — Software Development Engineer (Full Stack), Firefly Enterprise (P40) The Opportunity Firefly Enterprise brings generative AI and automated document production into the infrastructure that powers enterprise creative operations at scale. Our team builds and operates the InDesign APIs and InDesign Server platform on Firefly Services—the systems that let enterprises programmatically generate, resize, localize, and republish complex, pixel-perfect layouts (catalogs, packaging, marketing collateral) across thousands of variants, with no manual production work. We're at an inflection point. The InDesign APIs are scaling fast in production, and we are migrating a large base of InDesign Server customers and partners onto the API platform. That means we need engineers who can ship durable, well-documented APIs and a horizontally scalable, observable server platform that holds up under heavy, bursty enterprise load. The problem we're solving: large enterprises need to produce and localize high-fidelity layouts at a volume and speed that manual design workflows can't sustain. Today that often means brittle scripts, single-purpose render farms, and integrations that don't survive enterprise load. We're building reliable, well-documented APIs and a scalable server platform that make InDesign automation dependable, observable, and easy to build on. This is a full-stack role: you'll build customer- and developer-facing surfaces (job consoles, dashboards, monitors) while working inside the services and server infrastructure that do the heavy lifting—job orchestration, template processing, rendering pipelines, and the APIs that expose it all. What you'll do • Build full-stack features spanning UI (React/TypeScript or similar) and backend services (Node.js/Java) that expose InDesign API and InDesign Server capabilities to enterprise customers and internal teams. • Develop and maintain REST/GraphQL APIs for document generation, template/asset management, job submission, and status/result retrieval—including auth, entitlements and usage metering, rate limiting, and versioning. • Work with InDesign Server internals, scripting (UXP/ExtendScript), and plugin interfaces to build and troubleshoot automated rendering, pagination, and content-mapping workflows. • Build reliable async job orchestration: queuing, polling, retries, partial-failure handling, and clear progress/status UX for long-running render jobs. • Contribute to platform reliability—multi-region operation, stability, performance, and observability—for high-volume document generation. • Own features end-to-end: architecture, implementation, testing, deployment, and production monitoring across the stack. • Partner with Product, Design, and Platform to turn enterprise requirements (scale, compliance, entitlements) into robust solutions, and directly support IDS→API migration by closing feature and performance gaps. • Champion engineering quality: unit/integration testing, code reviews, CI/CD hygiene, pragmatic tech-debt management. Mentor junior engineers through reviews, pairing, and design discussions. What you need to succeed • 6–8 years of professional software engineering experience with demonstrated full-stack, end-to-end ownership. • Strong proficiency in JavaScript/TypeScript and at least one backend language/runtime (Node.js, Java, or similar), with solid component-based UI development and HTML/CSS. • Proven experience building and integrating REST/GraphQL APIs and designing systems around asynchronous, long-running workflows. • Comfort across the stack: from UI implementation to service design, data models, and deployment/infrastructure basics. • Strong CS fundamentals, practical software design skills, and the ability to reason about performance and scale. • Excellent communication; ability to collaborate across functions and time zones. • Fluency using AI coding assistants and agentic development tools to accelerate delivery. Nice to have • Experience with Adobe InDesign Server, InDesign scripting (UXP/ExtendScript), or plugin development (C++), or other document/layout automation platforms. • Familiarity with print, packaging, or publishing workflows (templates, prepress, PDF/X, color management). • Experience with containerized services (Docker/Kubernetes), job queues, and horizontally scaled render/worker fleets across regions. • Familiarity with LLM/GenAI concepts and integrating AI-assisted capabilities into enterprise products. • Experience with build systems, CI/CD, and enterprise-grade release processes. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work. 2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in. 3. Check out these tips to help you prep for interviews. 4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll. Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.