Who We Are

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

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

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

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

About the Role

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

Essential Responsibilities

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

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

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

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

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

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

Experience

Required Experience

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

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

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

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

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

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

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

Nice to Have

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

• Familiarity with UI frameworks like Material UI or Bootstrap.

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

Traits of a Successful Candidate

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

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

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

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

Benefits & Legal

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

• Provident fund and gratuity in accordance with applicable laws.

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

• Twenty-Six weeks of paid maternity leave.

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

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

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

About the Role

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

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

Essential Responsibilities

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

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

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

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

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

Experience

Required experience

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

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

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

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

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

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

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

Other Requirements

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

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

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

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

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

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

• Provident fund and gratuity in accordance with applicable laws.

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

• Twenty-Six weeks of paid maternity leave.

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

About the Role

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

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

Essential Responsibilities

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

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

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

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

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

Experience

Required experience

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

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

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

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

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

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

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

Other Requirements

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

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

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

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

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

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

• Provident fund and gratuity in accordance with applicable laws.

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

• Twenty-Six weeks of paid maternity leave.

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

Who We Are

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

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

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

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

About the Role

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

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

Essential Responsibilities

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

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

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

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

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

Experience

Required experience

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

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

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

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

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

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

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

Other Requirements

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

• Experience working with Material UI or Bootstrap.

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

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

Other Requirements

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

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

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

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

   

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

   

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

   

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

• Provident fund and gratuity in accordance with applicable laws.

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

• Twenty-Six weeks of paid maternity leave.

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

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai, India

About the Role

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

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

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

Key Responsibilities

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

Key Requirements

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

Why You’ll Love Working Here

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

Why we're hiring:

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

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

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

What you'll be doing:

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

• Develop software to integrate with internal backend systems  

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

• Communicate to both technical and non-technical stakeholders  

• Cloud deployment and management 

• CI/CD management and deployment 

• Performance assessment, monitoring and recommending performance enhancements 

• Infrastructure management using IaC 

• Continuous testing at different stages of the development lifecycle 

• Helping to implement a DevOps culture 

What you'll need:

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

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

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

• Scripting in Python, Bash and Powershell 

• Experience with tools including Docker, Kubernetes 

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

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

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

• Problem-solving attitude  

• Collaborative team spirit   

Who you are:

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

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

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

What we'll give you:

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

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

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

#LI-Hybrid 

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).

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.

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 

DevOps Engineer I

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

Key Responsibilities

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

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

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

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

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

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

Key Requirements

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

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

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

• 1–3 years of networking experience

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

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

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

• Experience with config management tools such as Ansible and Puppet

• Experience in monitoring systems: Prometheus or LogicMonitor

• Excellent problem solving and analytical skills

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

• Experience designing large scale distributed systems

• Strong verbal and written communications skills

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

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

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.

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

Responsibilities:

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

Required Qualifications:

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

Soft Skills:

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

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).

• Strong experience creating and deploying cloud infrastructure on Azure, AWS, and GCP
• Understanding of Python and Docker for developing web APIs
• Understanding of deploying solutions to Kubernetes.
• Familiarity with serverless technologies across functions, queues, file storage, API management, and key‑value stores
• Experience with integration patterns and working with various APIs
• Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as monorepos
• Proficiency in Infrastructure‑as‑Code languages such as Terraform and CloudFormation
• Understanding of design patterns for building scalable and efficient systems
• A quality‑driven, test‑first mindset
• Excellent written and verbal communication skills
• Familiarity with Diagrams‑as‑Code for documenting infrastructure architecture is a plus
• Understanding of modern authentication protocols such as OAuth2 and OIDC
• Consideration of cross‑cutting concerns like observability and security in infrastructure design
• Contributions to open‑source projects are a plus

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.

#LI-EC1 

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

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. 

Job Title: Python  Developer

 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:

• About the Role

  In this role, you will have the opportunity to work on complex and challenging projects that have a direct impact on our business. You will collaborate with stakeholders across the organisation to identify business needs and develop technical solutions that drive results. Your expertise in fullstack development, data science, and financial markets will enable you to make a significant contribution to our team and help drive business success.

  Key Responsibilities

  • Develop and implement fullstack applications that automate and streamline processes, improving efficiency and reducing risk.
  • Develop and Manage backend systems primarily using Python, with additional capabilities in Java and other languages.
  • Develop and manage frontend applications primarily using React and Next.js, with additional capabilities in JavaScript and other frameworks.
  • Design and implement core backend services and systems to serve other applications using high performance programming languages such as java.
  • Demonstrate a strong ability to understand and apply software architecture patterns, including microservices and event-driven architecture, to design robust and scalable solutions.
  • Work closely with cross-functional teams to design and implement solutions that meet business requirements and goals.
  • Communicate complex technical concepts to non-technical stakeholders, including business leaders and external partners.
  • Rapid response to issues as they arise, with the ability to drive quickly to the heart of an issue and propose appropriate solutions.
  • Manage work and processes across multiple sites.
  • Maintain discipline in coding practice while ensuring timely delivery of end solutions.

  Technical Expertise

  • Proficiency in Python is required, with familiarity in other programming languages such as Java, C++, Go, Rust, and others being advantageous.
  • Strong understanding of software architecture patterns, including microservices and event-driven architecture.
  • Familiarity with containerisation using Docker, and experience with container orchestration tools such as Kubernetes.
  • Strong understanding of software development lifecycle methodologies and experience with DevOps and CI/CD pipelines.
  • Experience with frontend technologies, including React and Next.js, and JavaScript.
  • Familiarity with data science and analytics techniques, including machine learning and statistical modelling.
  • Experience with database management systems, including relational and NoSQL databases.
  • Experience with Dash or other UI frameworks is a nice to have.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:   

project44 is looking for a Senior Software Engineer - Backend to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.  

 Key accountabilities: What you'll work on  

• Build state-of-the-art integrations to expand our ever-growing network of connected carriers and customers.  
• Manage integrations through their life cycle.  
• Operate, maintain, and improve the supply chain visibility platform owned by the team.  
• Building systems in a multi-cloud environment. We use AWS and GCP but value experience in other cloud environments such as Azure.  
• Work with and align with cross functional teams to solve challenging problems.  
• Share ownership of all facets of software delivery, including development, operations, and test  
• You will assume on-call responsibilities for systems (together with the team) that are built and owned by your team.   
• You will invest in tools, monitoring, and automation to improve on-call experience for everyone on your team.  

 Qualifications:  

• 5+ years professional experience building large scale and real time or near real time cloud systems. 
• Strong programming and debugging skills, with proficiency in C++ or Java. 

Experience in:  

• Building systems in a multi-cloud environment. We use AWS & GCP but value experience in other cloud environments such as Azure.  

• Creating and working with scalable Java-based micro-services.  
• Working with databases (preferably Postgres or other SQL based DB)  
• Event stores and stream-processing in Kafka or Kinesis.  
• Working in an agile software development environment.  

Desirable and helpful (but not necessary) are experience in  

• Experience with investigating large and complex codebases 
• Hands-on experience with Java 
• Creating API's/web services: REST, OpenAPI/Swagger is a plus.  
• Container-orchestration: Docker & Kubernetes  
• Enjoy database related work: DynamoDB, MongoDB, Postgres.  
• Analytical approach to problem solving.  
• Personal drive and maintaining a high pace - while taking responsibility for things working.  
• Willingness to vocalize your ideas and pick yourself up if you get knocked down.

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office Three days weekly. 

Diversity & Inclusion 

At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day. 

We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. 

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! 

For any accommodation needed during the hiring process, please email   recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements. 

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences. 

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

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. 

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Senior Machine Learning Engineer, Foundation Models on the DriveWell Atlas team, you will help design and develop next-generation AI models that advance CMT’s capabilities in risk assessment, driver engagement, crash detection, and claims processing. This role offers the opportunity to work at the intersection of cutting-edge AI research and real-world telematics applications.

CMT is looking for a collaborative, customer-committed, and creative Senior Machine Learning Engineer, Foundation Models who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Contribute to the design, training, and deployment of novel AI models for telematics applications
• Develop algorithms that model physical phenomena associated with vehicle and human movement
• Explore and implement advanced self-supervised learning methods tailored to multi-modal telematics sensor data
• Fine-tune upstream pretrained models or leverage their embeddings to solve downstream telematics tasks such as crash detection, driver risk scoring, and claims processing
• Build models robust to noise, missing data, and diverse real-world operating conditions
• Collaborate with engineers and product teams to integrate AI models into production systems
• Develop scalable training and inference pipelines using frameworks such as Ray, PyTorch DDP, or Horovod
• Optimize models for efficient deployment across cloud and edge/mobile environments
• Stay current with AI/ML research, applying new techniques to real-world telematics challenges
• Document and present findings, contributing to CMT’s AI/ML knowledge base
• Support junior team members through code reviews, collaboration, and knowledge sharing
• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
• 4+ years of relevant experience in AI/ML (post-degree)
• Strong hands-on experience developing and training deep learning models, preferably transformers for time-series or multimodal data
• Familiarity with self-supervised learning and representation learning on noisy sensor data
• Proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)
• Strong experience with PyTorch (preferred) or TensorFlow for deep learning
• Practical experience with distributed training methods and efficient model training
• Experience with data processing pipelines and ML infrastructure (e.g., Spark, Airflow, Docker, AWS/GCP/Azure)
• Excellent problem-solving skills and ability to translate complex business problems into AI solutions
• Strong communication skills to effectively present technical concepts to diverse audiences
• Product-focused mindset with a track record of delivering impactful ML solutions

Nice to Haves:

• Master’s or PhD preferred
• Experience with model interpretability and explainability techniques (XAI)
• Familiarity with ethical AI principles, bias detection, and mitigation strategies
• Exposure to MLOps practices for managing the ML lifecycle
• Publications or open-source contributions in AI/ML

Compensation and Benefits:

• Fair and competitive salary based on skills and experience
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave and public holidays
• Employees are eligible for flexible allowances which includes Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement
• Flexible scheduling and work from home policy depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

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.

MAKE AN IMPACT

Job Description:

Job Title: Sr. Java Backend developer (7.1-9 years) Chennai 
Responsibilities Direct Responsibilities • Ensure together with the other squad members the implementation of changes requests, maintenance and future improvements. • You help to define the development plan and acceptance criteria out of those requirements. • You design, build, test and maintain the new & existing features with high performance, reusable, and reliable code. • You focus on the best possible performance, quality, and uptime of the application by: • Identifying & solving bottlenecks or bugs. • Ensuring High Code quality, readability, and structure. • Making smart automatization (if relevant). • Creating/Updating the technical documentation to ensure service continuity. • You embed the agile & the best development practices in your daily job Contributing Responsibilities As developer in a squad: • You leverage your expertise to refine features in workable activities. • You share your expertise & improvement ideas to enrich the squad’s backlog. • You align and follow the priorities defined by the squad Technical & Behavioral Competencies • Java 8, 17 • Spring, SpringBoot • RestAPI, XML and JSON • Maven, Gitlab, Jenkins, Kubernetes • Junit • Wiremock, Spring test, Mockito • Good understanding of application lifecycle and importance of testing Specific Qualifications: • You have a bachelor or master degree in IT at least 8 years of experience • Fluent English is mandatory (oral and written) Skills Referential (Required knowledge, skills and abilities) Technical Skills: • Java and object-oriented programming with at least 8 years of experience • Api Development, RESTful APIs; • Swagger • JPA • Junit, Cucumber • Oracle, PLSQL • SiteFactory, Spring, Spring MVC (Modal View Controller), Springboot • Maven, Docker • Secure coding • Technical tools mastery • Gilab, Jenkins, SonarQube, Fortify & NexusIQ • IntellIij • Agile and Scrum experience

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: • A work culture focused on innovation and creating lasting value for our clients and employees • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients • A diverse, inclusive, meritocratic culture

We offer:

• A work culture focused on innovation and creating lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  
  

Who we seek:

We’re looking for a Senior Data Platform Engineer to join our Data Platform team. The ideal candidate will have extensive experience with data engineering, specifically with Kafka and Elasticsearch, to design and maintain our data platforms. You will work closely with cross-functional teams to ensure the scalability and reliability of our data solutions.

Job Summary:
As a Senior Data Platform Engineer, you'll be responsible for design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your expertise in Elastic, Kafka, and node.js will be critical in ensuring the scalability and performance of our data systems.

What you’ll do:

• Implement data processing pipelines using Kafka for real-time data streaming.
• Optimize and manage search capabilities using Elastic technologies.
• Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
• Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development.
• Stay up-to-date with emerging trends and technologies in big data and recommend improvements to our architecture and processes.
• Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability.

What you’ll bring:

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 8+ years of experience in the software engineering field. 
• 5+ years of experience in big data technologies, with a focus on MongoDB, Elastic Stack and Kafka.
• Proficiency in Node.js  with NestJS framework and TypeScript.
• Strong understanding of data modelling, ETL processes, and data warehousing.
• Excellent problem-solving abilities and strong analytical skills.
• A solid understanding of CI/CD principles.
• Experience working with both external and in-house APIs and SDKs 

Advantages:

• Experience with Java
• Experience with Docker, Kubernetes
• Experience with cloud platforms (e.g., AWS or Azure) 

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 
•    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