Lead /Sr Lead -Technical Writer
Experience: 13-15+ years
Location: Bangalore

Who we are and What we do?

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents, and enable crypto-agility. AppViewX is also certified as a Great Place to Work in India, cementing us as an employer of choice.

About the Role:

We are seeking a Lead Technical Writer with leadership capabilities to manage documentation initiatives across product lines, drive process excellence, mentor writers, and collaborate closely with Product, Engineering, UX, and Release teams. The ideal candidate has deep experience in technical content development, hands-on expertise with documentation tools and automation platforms, and an ability to leverage AI-driven content acceleration to scale the documentation function.

This role requires someone who can balance hands-on writing, people management, and strategic enablement, ensuring documentation is accurate, consistent, discoverable, and aligned with product vision.

Key Responsibilities: 

Leadership & Collaboration

• Lead a team of technical writers, providing guidance on writing standards, structure, and best practices.
• Own end-to-end documentation strategy across multiple product lines (SaaS, on-prem).
• Partner with Product Managers, UX Designers, Engineering Leads, and Release Managers to ensure timely, high-quality documentation.
• Define documentation processes, review templates, style guides, and standards for consistency.
• Support cross-functional initiatives such as onboarding experience, knowledge base development, and customer-facing documentation content.

Documentation & Technical Writing

• Create, review, and maintain high-quality technical content including product guides, Release Notes, KB articles etc
• Translate complex technical concepts (Networking, Cloud, Security, DevOps, Automation, etc.) into clear, simple, audience-appropriate documentation.
• Ensure content accuracy, readability, and alignment with product behavior and branding standards.
• Build and maintain client aids that go beyond traditional documentation, such as online videos, demos, guided tours, and other educational techniques.
• Passion for continuous learning, AI enablement, and modern documentation practices.
• Identify problem areas or structural deficiencies and proactively contribute to their improvement.

AI-Driven Documentation & Automation

• Use GenAI tools (ChatGPT, GitHub Copilot, Writer, etc.) to accelerate drafting, content summarization, quality checks, and content reuse.
• Implement AI-assisted documentation workflows (content repurposing, translation, metadata tagging).
• Contribute to structured content frameworks and knowledge models to enable future AI-driven documentation.
• Evaluate documentation automation tools and propose improvements for scale, accuracy and consistency.

Tools & Technologies:

Required:

• Documentation tools: MadCap Flare, Confluence, DITA/XML systems, Oxygen XML Editor
• Product documentation platforms: Git/GitLab/GitHub, CMS, Static site generators
• Diagramming tools: Visio, Lucidchart, Draw.io, Figma
• API documentation tools: Swagger / OpenAPI / Postman
• Content quality & proofreading tools
• AI tools for writing, content generation, and documentation automation
• Exposure to CI/CD pipelines
• Knowledge of HTML, XML, CSS, or scripting

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Communications, or related fields.
• 10–15+ years of experience in technical writing, with 3–5 years in a lead/managerial capacity.
• Strong understanding of software development lifecycle and agile methodologies.
• Strong written communication, editing, and information architecture skills.
• Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines.

Why AppViewX?

AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our global footprint to India, North America, the United Kingdom, and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

About the Team

The Integrations Team is responsible for enabling seamless connectivity between Postman and the broader developer ecosystem — from version control and CI/CD tools to messaging platforms, monitoring systems, gateways, and more. You’ll help build robust integration layers, APIs, and tooling that allow users and organization to plug Postman into their end-to-end workflows with minimal friction.

What You'll Do

• Implement and maintain features, improve performance and quality of Postman’s products.
• Interact with Product, Design and Engineering teams to spec, build, test and deliver new features.
• Improve quality and reliability by improving existing tests and writing new ones.
• Work on the scalability aspects of features and services that the team owns.
• Work with the manager for the roadmap and SLAs for the micro-services that you own.
• Perform code reviews and advocate better practices for software engineering by mentoring and encouraging others around you to build a quality product.
• Design & build any additional internal tooling required to ease the development & maintenance of the product.

About You

• You have at least 3 years of experience developing complex, distributed software applications at scale.
• You’ve experience with high level programming languages - e.g. Node.js, Python, Ruby, Go. We code primarily in Node.js.
• Strong understanding of web fundamentals.
• Strong knowledge of Database fundamentals especially on the performance aspects such as optimising queries, schema design, indexing, caching.
• Experience with cloud computing and distributed systems
• You possess strong Computer Science fundamentals - Algorithms, Networking and Operating Systems, and are familiar with various JavaScript tools, frameworks, and development practices.
• Has a point of view and is comfortable and prior experience in collaborating and respectfully challenging other stakeholders, such as PM, EM etc.
• You write testable, maintainable code that’s easy to understand.
• You have curiosity about how things work and to learn new things.
• Good written and verbal communication.

Nice to Have

• Previous experience with systems with scale and familiarity with problems related to scalability and performance
• A learning mindset and the willingness to do beyond what’s being told.
• An innate curiosity about how things work under the hood.
• Alignment with our Values.

Role 

We are looking for a Staff Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning & Analytics. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy.

What you’ll do (Role Expectations)

• Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
• Driving innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions, and championing full-scale implementation
• Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
• Leading and mentoring junior engineers in system design best practices and promoting technical excellence
• Collaborating with cross-functional teams to translate complex business needs into technical solutions

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You are a learner with a growth mindset, actively seeking feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• At least 5 years of experience as a Machine Learning Engineer with a track record of shipping complex, scalable ML systems to production
• Proven experience building Gen AI/ML systems with LLMs, fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic AI in production environments
• Experience designing and implementing distributed ML systems with deep knowledge of MLOps, including monitoring and logging
• Strong computer science foundation in data structures, algorithms, and system design with expertise in Python and SQL
• Excellent communication and interpersonal skills to partner effectively across global engineering teams

What Will Make You Stand Out (Preferred Qualifications)

• Expertise with cloud services such as AWS, GCP, or Azure and ML platforms like Kubeflow or SageMaker
• Proficiency in systems programming languages like Go or Rust with an understanding of distributed systems and networking fundamentals
• A record of research, publications, or patents in AI/ML

#LI-Hybrid #LI-VV3

Role

We are looking for a Staff Software Development Engineer to join our Shared Platform Services team. This is a hybrid role based in Mohali / Hyderabad/ Bangalore/ , reporting to the Sr. Manager Software Engineering. Our Engineering team built the world's largest cloud security platform from the ground up, and we continue to scale. With more than 100 patents and extensive plans for enhancing services, our multitenant architecture has established us as the cloud security leader for over 15 million users worldwide. We invite you to bring your vision and passion to our team of architects and engineers who are enabling global organizations to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Lead the end-to-end design and development of large-scale, complex features for the Zscaler Client Connector Cloud Service, driving key technical initiatives from initial concept to final execution.
• Take full accountability for core product functionality, ensuring high performance, scalability, and seamless integration within the cloud ecosystem.
• Partner closely with Product Management, Development, and Cloud Operations teams to align on product vision and ensure a smooth, synchronized release lifecycle.
• Define robust deployment procedures and implement proactive monitoring and alerting systems to ensure the long-term stability and health of new features.
• Champion product excellence by troubleshooting critical customer issues and delivering high-quality, resilient code within a fast-paced, high-velocity environment.

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who is energized by finding solutions to the hardest challenges, knowing that solving them delivers the biggest impact.
• You are a learner with a growth mindset who actively seeks feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, always seeking a better, more secure, and scalable way to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• 5 years of hands-on experience specifically in developing web applications and microservices.
• Deep proficiency in Enterprise Java, Object-Oriented Analysis/Programming (OOA/OOP), and RESTful API architecture.
• Practical experience with RDBMS, specifically being "fluent" in SQL programming and writing Stored Procedures.
• Security Literacy: A solid understanding of Security, Authentication/Authorization, and encryption best practices.
• Experience in application development using Java, REST APIs, MySQL, and JQuery

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Computer Science, Computer Engineering, or a strictly related discipline.
• Advanced troubleshooting and root cause analysis skills using CPU and memory profilers to identify resource exhaustion issues
• Ability to write complex MySQL queries and generate reports based on business requirements

#LI-Hybrid
#LI-VV3

Role

We are looking for a Staff Software Engineer to join our Engineering team in a hybrid capacity in Bangalore, reporting to the Senior Director, Software Engineering. You will join the team that built the world’s largest cloud security platform from the ground up. Bring your vision and passion to our team of cloud architects and software engineers who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Lead the engineering effort for the development and maintenance of the Zscaler Zero-Trust Cloud User Interface

• Work closely with the UI design team to implement intuitive and accessible user interfaces, leveraging UX best practices and a component library

• Collaborate with the product team to define and implement functional requirements that align with business goals

• Develop high-quality, maintainable code with thorough unit and end-to-end (E2E) tests using frameworks such as Jest, Cypress, or Playwright

• Advocate for UI platform priorities, ensuring alignment with long-term architectural goals and business needs

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose

What We’re Looking for (Minimum Qualifications)

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

• 6+ years of professional experience as a front-end engineer, with at least 5 years of experience specifically in React

• Extensive experience with JavaScript and developing UI components using React

• Strong understanding of UI/UX design principles and implementing efficient, scalable GraphQL and REST APIs

• Proven ability to address key UI concerns such as scalability, performance, and security to maintain a high-quality user experience

What Will Make You Stand Out (Preferred Qualifications)

• Strong understanding of front-end build tools, package managers, monorepos, and version control systems such as Nx, npm, and Git

• Familiarity with containerization and Kubernetes

• Understanding of AWS services including Cloudfront, EC2, and S3 and their application in secure, scalable, and highly available UI deployments

#LI-Hybrid #LI-GL2

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Key Responsibilities

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

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

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

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

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

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

Reports To

Software Engineering Manager

We are seeking a Senior Software Engineer to play a vital role in developing our Energy Management platform. In this influential position, you will help shape, build, and sustain a robust suite of micro-services. Your work will significantly affect our long-term technical

strategy. This role demands practical experience in every stage of microservice development, including architecture design, coding, deployment, and monitoring.

What You Will Be Doing

• As a member, you will participate in major initiatives and opportunities, demonstrating your well-rounded skills in communication, technology, and execution to bring a project from inception to general availability for customers.
• You will play a key role in designing industry-leading standards and solutions to develop new solutions and scale ChargePoint to support real-time communication with millions of charging stations.
• As part of the Energy Management team, you will represent Cloud services by executing initiatives in collaboration with cross-functional teams such as Product, Embedded Platform, Quality, Support, and Operations.
• Your goal is not only to resolve their concerns but also to work with them to define and build better solutions. You will work on code directly impacting the business, including developing and maintaining real-time Energy Management solutions that optimise EV charging efficiency.
• Additionally, you are expected to improve the team by contributing to code reviews, documentation, and the development process. You will also champion organisational principles by helping to define and uphold them.

Requirements

• 4+ years of experience building back-end software
• Hands-on with JVM Language is a must, such as Java/Kotlin
• Working experience with Spring Boot, Kafka, and Kubernetes,
• Working experience with modern software architecture components (e.g. Distributed Systems, Containerization, Micro Services, Observability, etc.)
• Working experience in one of the cloud providers (AWS, GCP, Azure, etc.)
• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering, and Math)
• Good in CS fundamentals - data structures, algorithm design, problem-solving, and complexity analysis.

Personal/Leadership Attributes

• Voices opinions and presents a clear rationale. Uses data or factual evidence to influence.
• Learns the organisation’s vision statement and decision-making framework.
• Able to understand how the team and personal goals/objectives contribute to the organisation’s vision.
• Completes assigned tasks on time and with high quality.
• Has the ability to break down problems and estimate time for development tasks.
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
• Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources.

Location

Bengaluru, India

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Position Description: 

Precision for Medicine develops assays and runs global logistics by using biomarkers to stratify patients, incomparably improving R&D efficiency and success for our clients. We lead every aspect of clinical trials from sites to biomarkers to diagnostics, all under a single roof. We dramatically accelerate our clients' pathway from proof of concept to drug approval.         

Qualifications:

• Education: Bachelor’s degree or equivalent desired.  Degree in computer science or related fields preferred.

Work Experience:

• 6+ years of experience in solutioning and delivering software products/solutions including experience in planning and execution. 
• 3+ years of experience in leading the development and implementation of business initiatives and products/projects.
• Proven experience building and delivering high scale, secure platforms (custom developed and off the shelf)
• Experience with cloud-hosted technologies and cloud services (Azure, AWS S3 bucket, Google, Log management of the application like ELK)
• Experience working with a team following Agile software development lifecycle practices
• Experience with debugging tools like developer tools, SQL profiler etc.,
• Experience working with various tools, open-source technologies, and cloud services
• Experience of the following tools and technologies: Angular, DevExpress, SQL Server, ASP.Net C#, Windows, DACPAC, HTML, CSS, JavaScript, jQuery, SSIS and .net core api,
• Experience with Web-Based Development Frameworks such as ASP.NET, WebForms, MVC, Angular, React, Node.js
• Experience working with BitBucket, GitLab, Azure DevOps, Jira, or similar systems for software development
• Lifecycle management, source control, branching, and/or CI/CD pipelines
• Expert with database concepts, data modeling, and data management and optimizing the SQL queries and stored procedures

Skills:

• Ability to drive, contribute, and support the execution of department vision.
• Evangelist for innovation and continuous improvement. Must be able to influence technical and non-technical executives and senior leaders.
• Ability to solve highly complex product issues through technical insight and collaboration with companywide and/or industry peers.
• Deep understanding of business strategy and ability to translate strategy into system and technology solutions.
• Excellent organizational, interpersonal, communication, and presentation skills, must be detail-oriented.
• Ability to create and foster relationships within a team-oriented, collaborative environment leveraging excellent communication skills.
• Ability to quickly learn and adapt to new business processes and technologies
• In-depth knowledge and hands-on experience with all phases of an SDLC.
• Excellent application documentation skills and ability to create architecture diagrams and roadmaps
• Solid understanding of Agile software development principles.

Position Description: 

Precision for Medicine develops assays and runs global logistics by using biomarkers to stratify patients, incomparably improving R&D efficiency and success for our clients. We lead every aspect of clinical trials from sites to biomarkers to diagnostics, all under a single roof. We dramatically accelerate our clients' pathway from proof of concept to drug approval.         

Qualifications:

• Education: Bachelor’s degree or equivalent desired.  Degree in computer science or related fields preferred.

Work Experience:

• 6+ years of experience in solutioning and delivering software products/solutions including experience in planning and execution. 
• 3+ years of experience in leading the development and implementation of business initiatives and products/projects.
• Proven experience building and delivering high scale, secure platforms (custom developed and off the shelf)
• Experience with cloud-hosted technologies and cloud services (Azure, AWS S3 bucket, Google, Log management of the application like ELK)
• Experience working with a team following Agile software development lifecycle practices
• Experience with debugging tools like developer tools, SQL profiler etc.,
• Experience working with various tools, open-source technologies, and cloud services
• Experience of the following tools and technologies: Angular, DevExpress, SQL Server, ASP.Net C#, Windows, DACPAC, HTML, CSS, JavaScript, jQuery, SSIS and .net core api,
• Experience with Web-Based Development Frameworks such as ASP.NET, WebForms, MVC, Angular, React, Node.js
• Experience working with BitBucket, GitLab, Azure DevOps, Jira, or similar systems for software development
• Lifecycle management, source control, branching, and/or CI/CD pipelines
• Expert with database concepts, data modeling, and data management and optimizing the SQL queries and stored procedures

Skills:

• Ability to drive, contribute, and support the execution of department vision.
• Evangelist for innovation and continuous improvement. Must be able to influence technical and non-technical executives and senior leaders.
• Ability to solve highly complex product issues through technical insight and collaboration with companywide and/or industry peers.
• Deep understanding of business strategy and ability to translate strategy into system and technology solutions.
• Excellent organizational, interpersonal, communication, and presentation skills, must be detail-oriented.
• Ability to create and foster relationships within a team-oriented, collaborative environment leveraging excellent communication skills.
• Ability to quickly learn and adapt to new business processes and technologies
• In-depth knowledge and hands-on experience with all phases of an SDLC.
• Excellent application documentation skills and ability to create architecture diagrams and roadmaps
• Solid understanding of Agile software development principles.

We are one of the fastest growing startups in FinTech. We are a digital asset brokerage delivering best-in-class pricing and execution capabilities for institutional traders and investors. Our vision is to grow the digital asset ecosystem 1000X with industry-leading prime brokerage solutions. 

Who is on the team? 

We are entrepreneurs. More than half of us have experience founding a company. We come from leading institutions including Google, LinkedIn, JUMP, Citadel, Goldman Sachs, Harvard Business School, Carnegie Mellon, IIT + more. We are backed by some of the best investors in the world including Accel Partners, Flybridge Capital, Lightspeed Venture Partners. 

Impact 

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. 

Role Overview

As a Quant Developer, you will build and scale the core systems powering our trading and risk infrastructure. This role sits at the critical intersection of quantitative research, trading, and high-performance engineering. You will be responsible for the architectural integrity of our derivatives pricing engines and execution systems, ensuring that complex mathematical models are translated into robust, production-grade code.

You will work directly with Traders and Quants to enable efficient pricing, execution, and real-time risk management across global markets.

What You’ll Do

• High-Performance Engineering: Design and implement low-latency systems for real-time trading and derivative pricing.

• Pricing & Analytics: Build and enhance pricing libraries for complex and exotic instruments, including volatility modeling and correlation structures.

• Execution Systems: Develop sophisticated execution algorithms and optimize order routing and the full trade lifecycle.

• Model Implementation: Collaborate with Quants to translate advanced mathematical models into scalable, numerically stable code.

• Risk & Attribution: Contribute to core risk systems, focusing on real-time metrics, PnL attribution, and complex scenario analysis.

• Data Infrastructure: Improve high-throughput data pipelines for large-scale market data and historical backtesting.

• Complex Problem Solving: Solve challenges across numerical methods, optimization, and distributed systems in a high-stakes environment.

What We’re Looking For

• Education: Degree in Computer Science, Mathematics, Physics, or a related quantitative field.

• Technical Stack: Expert-level Python skills; professional experience with a performance-critical language (C++, Rust, or Java) is highly preferred.

• CS Fundamentals: A deep understanding of data structures, algorithms, and high-performance system design.

• Quantitative Foundation: Solid grasp of probability, statistics, and numerical methods (e.g., Monte Carlo, Finite Difference).

• Domain Expertise: Practical familiarity with derivatives pricing (Options, Futures, Swaps) and financial market mechanics.

• Systems Experience: Proven ability to build distributed systems and data-intensive applications that handle high concurrency.

• Engineering Rigor: Ability to write clean, efficient, and production-quality code with a focus on testing and numerical accuracy.

• Soft Skills: A first-principles thinker and effective communicator who thrives in fast-paced, iterative trading environments.

Nice to Have

• Experience with exotic derivatives (correlation products, structured products).

• Exposure to advanced volatility modeling and market microstructure.

• Hands-on experience with numerical optimization and PDE solvers.

• Prior experience in Crypto, HFT, or low-latency trading environments.

• Familiarity with frontend tools (React) for building internal trading and risk dashboards.
  
  
  

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

Job Title: Staff Engineer - Embedded System Engineer

Department: Device

Experience: 6 to 12 Years

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Role Overview

We are looking for an experienced Embedded System Software Engineer to design, develop, and optimize software solutions for embedded platforms. The ideal candidate will have strong expertise in Linux-based systems, device drivers, and middleware, and will contribute to building innovative, high-performance embedded and IoT products.

Essential Skills

• Linux, Device Drivers, Middleware
• Ability to develop software in C, C++
• Good understanding of processors, IPC, multithreading applications, memory management,
• Working with device peripherals like sensors, BT, Wi-Fi, camera, multimedia frameworks,
• Debugging and memory profiling
• Hands on experience on design and implementation of software modules on embedded systems
• Good oral and written skills
• Rapidly adapt to a challenging work environment, Team spirit and good communication skills

Other Skills

• Good to have python OR Shell scripting
• Understanding of eMMC/SD card drivers and storage mechanism
• In-depth understanding of OS
• Exposure to IoT system

Expectations

• Individual in this position should have a zeal to learn and ability to come up with innovative solutions for our latest cutting-edge embedded vision platforms.
• Candidate should have experience on design and implementing solutions for embedded systems. 

QUALIFICATION: -

• BE/ME Or BTECH/MTECH in a related field

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

The Technical Success Manager Lead will oversee and guide a team of Technical Success Managers while directly contributing to strategic customer engagements. This role will be pivotal in aligning customer needs with ABBYY’s solutions to maximize value realization. As a leader, you will ensure best practices in technical success and foster a culture of customer-centric innovation. 

Roles & Responsibilities 

Leadership & Team Management: 

• Lead, mentor, and support a team of Technical Success Managers, ensuring alignment with company goals and customer success objectives.
• Establish frameworks and processes for value discovery and delivery, ensuring consistency across customer engagements.
• Serve as an escalation point for complex customer challenges, collaborating with internal teams to resolve issues promptly.

Strategic Customer Engagement: 

• Conduct high-level value discovery sessions with strategic accounts, ensuring customer goals and business objectives are clearly defined and met.
• Build and maintain strong relationships with executive-level stakeholders in customer and partner organizations.
• Collaborate with account managers, pre-sales teams, and other technical leaders to deliver seamless customer experiences and drive adoption.

Process Improvement & Innovation: 

• Identify opportunities to streamline customer success processes and introduce scalable, repeatable frameworks for customer engagement.
• Advocate for customer needs within ABBYY, driving initiatives to enhance product capabilities and customer satisfaction.
• Develop and refine success metrics to measure team performance and customer outcomes.

Enablement & Advocacy: 

• Design and implement training programs for customers and partners to promote product adoption and success.
• Lead initiatives to gather, analyze, and act on customer feedback to improve products and services.
• Drive customer advocacy efforts, including case studies, references, and success stories.

Operational Excellence: 

• Monitor and manage team workloads, ensuring efficient delivery of customer success projects.
• Analyze customer usage patterns, adoption trends, and churn risks to guide proactive engagement strategies.
• Report regularly to senior leadership on team performance, customer health, and strategic insights.

Requirements 

Experience & Skills: 

• 7+ years in a customer-facing technical role (e.g., Pre-Sales, Professional Services, Technical Account Management), with at least 3 years in a leadership capacity.
• Proven experience in SaaS environments, with a deep understanding of subscription-based business models.
• Expertise in technologies such as OCR/ICR, Intelligent Document Processing, Enterprise Automation, RPA, ECM, BPM, or Process Mining.

Leadership Qualities: 

• Strong track record of building and leading high-performing teams in customer success or related disciplines.
• Exceptional communication and interpersonal skills, with the ability to engage diverse stakeholders, from technical teams to executives.
• Demonstrated ability to drive alignment across departments and manage competing priorities effectively.

Technical Acumen: 

• Strong ability to bridge the gap between technology and business, translating customer needs into actionable solutions.
• Experience with software implementation, technical troubleshooting, and delivering enterprise-scale solutions.
• Proficiency with analytics platforms and advanced skills in MS Office Suite or similar tools.

Soft Skills: 

• A proactive problem solver with a customer-first mindset and a strong sense of ownership.
• Excellent project management and prioritization skills, capable of overseeing multiple high-impact initiatives simultaneously.
• Comfortable working in a fast-paced, dynamic environment with changing priorities.

Here's a snapshot of our local benefits:

• 18 Days of Paid Time Off Annually
• Medical, Accidental, and Life Insurance
• Weekly Wellness Sessions
• Monthly Healthcare Allowance

#LI-MM1

Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats.

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

Staff Product Manager, Cloud Data Protection

Location: Bangalore

About Team & About Role:

The Product Management team at Rubrik drives forward Rubrik’s vision, ensuring we continue to deliver on our market-leading platform as we address our customers’ most challenging data management & security needs. Our mission is to deliver the best application aware backups, helping customers to secure their data, while ensuring that we do not compromise on the end to end user experience we are known for.

Rubrik is looking for an innovative, experienced Staff Product Manager with a track record for driving new product capabilities from initial concept to successful delivery and market leadership.  The Product Manager will join the Cloud Data Protection team and be responsible for guiding the strategy and execution of data protection for public cloud workloads. We are looking for someone who has experience shipping enterprise-grade product(s) with a deep understanding of cloud deployment models. You will be partnering closely with customers, sales, and engineering teams toward a common goal: delivering the industry’s best data management solution, on schedule, and with highest quality. As advocates for both our customers and our business, you will balance varied perspectives and lead cross-functional teams.

What You’ll Do:

• You will be responsible for product strategy, roadmap, and execution of data backup and recovery for public cloud services/applications (such as Azure Instances, AzureSQL)
• Collaborate with engineering, support, design, and marketing teams to plan, build and launch high-quality product experiences
• You will write PRDs, manage project execution, help create and define product roll-out strategy
• Process, review, and interpret customer usage patterns to uncover new product insights
• Develop, manage and communicate the product roadmap to both internal and external key stakeholders
• Perform market/competitive analysis, prioritize product features and clearly articulate decisions and tradeoffs
• Represent your product in front of customers in both pre and post sales situations
• Help identify and establish key technology and sales partnerships

Experience You’ll Need:

• BS in Computer Science or Engineering 
• MBA or Masters in Engineering preferred
• 8+ years of extensive product, planning, communication, organization, and people influence skills
• Prior experience in administering and/or developing solutions that require domain knowledge in one or more of the following areas:
• Microsoft Azure Cloud
• Google Cloud Platform 
• Amazon Web Services (AWS)
• Data Backup & Recovery solutions
• Must have business acumen and ability to build business cases, communicate effectively with professionally done presentations and write-ups, influence others, and measure success
• Thorough knowledge of public cloud ecosystem and software development methods and processes
• Ability to be self-motivated towards the achievement and measurement of established goals
• Aptitude to develop and maintain satisfactory working relationships with both the client and internal staff members and to deal effectively with high velocity, fast growth work environments

#LI-AS2

ABOUT THE TEAM

The Production Engineering team at Rubrik is responsible for ensuring the availability and reliability of mission-critical platforms operating across large-scale, multi-cloud environments. We act as the backbone of operational excellence—owning incident response, outage, observability, and continuous improvement.

The team works in close collaboration with SRE and Engineering teams to proactively identify risks, reduce operational toil, drive outages and build resilient systems. We operate in complex, high-pressure scenarios, applying sound technical judgment while continuously improving through learning, ownership, and accountability.

ABOUT THE ROLE

As a Senior Engineering Manager for Production Engineering, you will lead and grow a high-impact team responsible for maintaining highly available, business-critical services. You will spearhead the technical roadmap, strategy and execution, while serving as a senior escalation point during major incidents.

You will set the vision for the team, while coaching engineers to operate with confidence in high-pressure environments. This role requires strong technical depth, strong decision-making skills, and the ability to collaborate across teams to continuously improve system reliability and operational maturity.

What you’ll do

• Lead Production Engineering team supporting critical infrastructure and services across multi-cloud environments. This role requires you to work in EST timezone (4:00 PM – 1:00 AM IST).
• Own operational excellence for production environments by establishing strong processes, standards, and accountability for availability and reliability.
• Champion a metrics-driven culture of continuous improvement, driving initiatives to improve operational KPIs such as MTTA/MTTR.
• Foster a strong collaborative mindset working closely with leadership to align operational priorities with business goals and reliability targets.
• Develop team members through coaching, mentoring, and career development, while enabling senior contributors to operate at maximum impact.
• Plan and manage on-call rotations, escalation models, and resource availability to ensure sustainable support for mission-critical systems.
• Establish strong execution rigor through sprint planning, prioritization, and accountability, holding teams to high standards of delivery and performance.

Experience you’ll need

• A passionate leader who is obsessed with building technically strong teams and has 12+ years of Software Development experience and 3+ years in Engineering Management roles.
• Experience hiring, building top talent teams.
• Experience in delivering enterprise-quality scalable Distributed Systems with high quality standards.
• Preferred: Experience leading SRE teams to drive operational excellence across large-scale, multi-cloud production environments through strong processes, metrics, and reliability-focused practices.
• Experience building and cultivating strong engineering practices and processes.
• Experience working with cross-geo global engineering teams.
• Have a track record of effectively communicating with stakeholders at all levels.
• Degree in Computer Science or equivalent field.

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

The Opportunity

We are looking for an exceptional Staff Engineer to build the next generation of our security offerings in the Postman product. You’ll be accountable for strategy, technical roadmap and architecture of the platform. You’ll work with multiple teams within Identity Engineering overseeing and contributing to delivery and owning critical KPIs such as availability and uptime. Your role involves designing, implementing, and running critical services for the security features in the product. We’re looking for a seasoned individual contributor leader who can work effectively with product management and engineering leaders within the company and build a high quality platform.

The ideal candidate is a strategic leader with attention to detail and a relentless drive for quality. They should be comfortable being very hands on and at the same being able to uplevel and provide high level guidance for others to execute. They should mentor senior engineers within the org to grow the next level of engineering leadership. They should also be strong communicators who can influence other leaders. Finally, they should have strong industry knowledge and bring best practices from the broader industry to the Postman’s security and trust offerings.

The ideal candidate is also strongly aligned with our values. We create with the same curiosity we see in our users. We value transparency and honest communication about our successes and failures. We have an inclusive work culture where we value diversity of opinion. We are motivated by delivering the absolute best experience for our users.

What You'll Do

• Technical Leadership
• Provide technical leadership for the architecture and help the teams build highly secure, scalable, reliable and performant systems that can cater to the needs of hundreds of millions of developers
• Provide technical leadership to identify dependencies and review key designs to ensure consistency with architecture and support for the business
• Lead the team to deliver on multiple projects in collaboration with key stakeholders
• Build an operational center of excellence with effective observability, considerations for scale and performance and focus on quality
• Be hands on and lead by example
• Prioritization and Roadmap
• Partner with the engineering leaders within the org and product leaders within the company
• Help the teams prioritize work and create a balanced roadmap
• Collaboration
• Work closely with senior leadership to drive org design, set and execute the roadmap and influence the strategy
• Collaborate with cross functional teams to align on goals, drive engineering initiatives, and create broad organizational impact
• Mentorship
• Be a mentor for senior engineers and help others grow
• Build the next level of engineering leadership

About you

• Bachelor’s degree in a Computer Science related field or equivalent practical experience
• 10+ years of experience hands on coding and familiarity with common programming languages (e.g. C, C++, Java, PHP, Python, JavaScript, NodeJS)
• 10+ years of engineering experience building end-end back end services
• Strong experience with security offerings such as vault store, token scanning, cryptography etc.
• Demonstrated experience leading cross-functional projects with a meaningful impact on the business
• Exceptional problem solving, design, and analytical skills
• Demonstrated experience designing highly scalable systems
• Sense of humor

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

About the Role

We're building out the Customer Success Engineering team at Postman, and we need business-minded engineers who can solve real problems at scale. You will partner closely with Customer Success Managers and own the “How” of technical solutioning. This is a consultative role that requires both depth and versatility. This is no support role; you'll be the technical architect of Customer Success, turning complex and nuanced challenges into repeatable solutions that benefit our entire enterprise customer base.

As a CSE, you consult on the technical implementation path. When a customer needs to get from point A to point B, you figure out how to make it happen - whether that means architecting workflows within Postman, guiding integrations, or creating pragmatic workarounds when the product doesn't quite fit. A key part of this role is turning individual solutions into reusable assets that shorten time to value for future customers. We don’t believe in reinventing the wheel each time.

Success in this role requires a blend of technical expertise, systems thinking, and the ability to translate complex business objectives into actionable implementation steps.

What You’ll Do

• Value Acceleration at Scale: You'll unblock customers facing everything from basic setup issues to complex architectural challenges. However, your role isn’t just to fix individual problems – your goal is to identify patterns and build solutions that prevent those problems from happening again. When you solve for one customer, you're solving for hundreds.
• Technical Discovery and Solutioning: Partner with CSMs to understand the business objectives, then translate those into technical reality. This means deep technical discovery, understanding their entire stack, and designing implementation paths that actually work in production. No theoretical solutions – everything needs to be battle-tested and deployable.
• Collateral and Enablement: Build reusable assets such as technical guides, templates, scripts, or reference implementations that scale best practices across customers.
• Product Feedback Loop: Capture customer challenges, propose interim solutions, and document gaps to inform product roadmap discussions.
• Adaptive Problem Solving: When out of the box functionality is insufficient, design pragmatic solutions (workarounds, custom scripts, integrations, etc.) to help unblock and activate customers.

About You

You need 6-8+ years in a technical customer-facing role and a portfolio of “built things”.

Customer Success Engineering, Solutions Engineering, Forward Deployed Engineering, Technical Account Manager… the title doesn't matter as much as the hands-on technical work that solves real problems for customers.

You should have:

• Strong foundation in Computer Science or Engineering (degree or equivalent real-world experience)
• Experience with JavaScript and related technologies such as Node.js or TypeScript, or equivalent experience with other modern scripting languages
• Deep understanding of APIs, developer workflows, and modern DevOps practices
• Proven ability to scope ambiguous problems and deliver working solutions quickly
• Experience building technical collateral that scales - scripts, templates, automation tools
• Comfort engaging both individual developers and enterprise architects
• You should be comfortable in Postman and familiar with the broader developer toolchain – GitHub, AWS, Azure, and other pipelines. Most importantly, you need to understand how enterprises actually build and ship software, not just how they say they do in planning meetings.

                                                                                                                                                                  Date: May 5, 2026

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview: We are looking to expand our DevOps team. This team is responsible for writing scripts to set up infrastructure to support 24*7 availability of the Netradyne services. The team is also responsible for setting up monitoring and alerting, to troubleshoot any issues reported in multiple environments. The team is responsible for triaging of production issues and providing appropriate and timely response to customers.

​

Key Responsibilities:​

• B Tech/M Tech/MS in Computer Science or a related field from a reputed university.
• Total industry experience of around 4–7 years.
• Programming experience in Python, Ruby, Perl or equivalent is a must.
• Good knowledge and experience of configuration management tool (like Ansible, etc.)
• Good knowledge and experience of provisioning tools (like Terraform, etc.)
• Good knowledge and experience with AWS.
• Experience with setting up CI/CD pipelines.
• Experience, in individual capacity, managing multiple live SaaS applications with high volume, high load, low-latency and high availability (24x7).
• Experience setting up web servers like apache, application servers like Tomcat/Websphere and databases (RDBMS and NoSQL).
• Good knowledge of UNIX (Linux) administration tools.
• Good knowledge of security best practices and knowledge of relevant tools (Firewalls, VPN) etc.
• Good knowledge of networking concepts and UNIX administration tools.
• Ability to troubleshoot issues quickly is required.

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Contact Information: For inquiries, please contact Recruiter at recruiter@netradyne.com.​​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

This is a hybrid role, requiring 2 days per week in our Bangalore office

Reporting directly to the Director of Engineering, the Senior Software Engineer will guide the design and implementation of software solutions for ChannelOnline (COL). Our teams work across the front-end (Angular, jQuery, JSP), backend (Java), Data (Elastic, MySQL), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for COL
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to industry standards and Syndigo guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 4+ years of software development experience
• 1+ years of full-stack application development using object-oriented programming (Java) and modern frameworks
• 2+ years of experience designing and implementing solutions with Azure
• 1+ years of experience developing APIs for front-end applications
• 2+ years of experience with relational databases (MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (GitHub Actions)
• 1+ years of experience with Perl or other scripting languages (preferred but not required)
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (Azure Blob Storage) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (Kubernetes) (preferred but not required)
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

What You Will Be Doing

- Design and implement production-ready generative AI applications that serve millions of users, from initial architecture through deployment and monitoring
- Build advanced RAG (Retrieval-Augmented Generation) pipelines that combine vector databases, hybrid search, and intelligent caching to deliver sub-second response times
- Develop multimodal AI systems that seamlessly integrate text, vision, and audio capabilities using state-of-the-art models
- Architect scalable microservices that handle thousands of concurrent AI requests while optimizing for cost, latency, and reliability
- Lead code reviews and technical design sessions, establishing best practices and architectural patterns that elevate the entire team's capabilities
- Optimize large language models through fine-tuning techniques to achieve domain-specific performance improvements
- Implement comprehensive MLOps practices including automated testing, model versioning, A/B testing frameworks, and real-time monitoring dashboards
- Collaborate with product managers and stakeholders to translate complex business requirements into innovative AI solutions
- Deploy AI models across multiple cloud platforms (GCP) using containerization and orchestration technologies
- Create and maintain technical documentation, runbooks, and architectural decision records that enable knowledge sharing across teams
- Mentor junior engineers through pair programming, technical talks, and hands-on guidance to accelerate their growth
- Research and prototype emerging AI technologies to identify opportunities for competitive advantage

Gen AI Responsibilities

- Fine-tune and optimize state-of-the-art language models for specific business use cases, achieving significant improvements in accuracy and relevance
- Design multi-agent AI systems using frameworks to orchestrate complex workflows and decision-making processes
- Implement advanced prompt engineering strategies including Tree of Thoughts, ReAct patterns, and automatic prompt optimization to maximize model performance
- Build production-grade embedding systems that handle billions of vectors, implementing efficient indexing strategies and hybrid search capabilities
- Develop computer vision pipelines using models for tasks ranging from object detection to visual question answering
- Create secure AI applications with robust safeguards against prompt injection, jailbreaking, and data leakage while maintaining compliance with AI governance standards
- Optimize token usage and implement intelligent caching strategies to reduce costs by 50-70% while maintaining quality
- Design and implement evaluation frameworks that go beyond traditional metrics, incorporating human feedback loops and domain-specific quality measures
- Build real-time AI inference systems capable of processing streaming data with sub-100ms latency requirements
- Integrate multiple foundation models into unified applications, implementing fallback mechanisms and load balancing for high availability
- Develop custom tools and functions that extend LLM capabilities, enabling models to interact with databases, APIs, and external systems
- Implement advanced RAG techniques including contextual embeddings, cross-encoder reranking, and Graph RAG for complex reasoning tasks
- Create multimodal search systems that enable users to query across text, images, and documents using natural language
- Build AI-powered data processing pipelines that automatically extract, transform, and enrich unstructured data at scale
- Deploy edge AI solutions using frameworks like ONNX and TensorRT, optimizing models for resource-constrained environments

What We're Looking For

- 5+ years of hands-on experience building and deploying ML/AI systems, with at least 2+ years focused on generative AI and LLMs
- Expert-level Python programming skills with deep knowledge of async programming, multiprocessing, and performance optimization
- Strong experience with modern AI frameworks including PyTorch, Transformers, LangChain, and vector databases
- Proven track record of deploying AI applications to production environments serving real users at scale
- Deep understanding of transformer architectures, attention mechanisms, and the latest advances in generative AI
- Experience with cloud platforms (GCP) and containerization technologies (Docker, Kubernetes)
- Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences
- Proven experience improving large-scale product search and discovery — including dense retrieval with bi-encoders, cross-encoder reranking, query understanding, and hybrid BM25 + vector search across catalogs of tens of millions of SKUs
- Hands-on experience building and deploying production multi-agent systems using orchestration frameworks such as LangGraph and Google ADK — designing stateful, tool-augmented agents for complex, real-world workflows
- Bachelor's degree in Computer Science, Mathematics, or related field (Master's preferred but not required with relevant experience)

Nice to Have

- Published research papers or significant contributions to open-source AI projects
- Experience with multimodal AI systems combining vision, language, and audio
- Domain expertise in specific verticals (healthcare, finance, legal, e-commerce)
- Knowledge of AI safety, alignment, and constitutional AI principles
- Experience building AI infrastructure and platforms used by other engineers
- Familiarity with emerging technologies like neural architecture search, mixture of experts, or neuromorphic computing

Job Title : Senior Engineer - Embedded Software ( Multimedia)

Experience. Range : 3 - 5years

Location : Bangalore 

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview: As a Senior Engineer at Netradyne, you will contribute to the development of cutting-edge software solutions that drive our next-generation products. You will collaborate with cross-functional teams to deliver scalable and reliable software applications in a fast-paced environment.​

Key Responsibilities:​

• Design and implement multimedia based applications.
• Develop the test environments and test cases to validate the developed features.
• Troubleshoot and debug complex issues in production environments.​
• Implement best practices for software development

Mandatory Skills:​

• Linux/ Android, Multimedia – Camera, GStreamer ( Video/Audio pipeline) or equivalent streaming framework exposure
• Ability to develop software in C, C++
• Hands on experience on design and implementation of software modules on embedded systems
• Good oral and written skills
• Rapidly adapt to a challenging work environment, Team spirit and good communication skills

Preferred Skills:​

• Prior experience in working with Embedded products and Linux OS concepts
• Linux device driver and RTOS is a plus. GPU, Cuda, OpenCL, SNPE, Algorithm Optimization is a plus.
• Usage of AI tools in day to day activities

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

About the role

We are seeking a Machine Learning Engineer Intern to contribute to the development of computer vision algorithms focused on item authentication and fingerprinting. In this role, you will support the research, development, and deployment of algorithms and models aimed at accurately determining the authenticity of items through the analysis of their unique visual characteristics and assigning unique digital identities based on image data.
You will also assist in refining the image capture experience on edge devices and contribute to ensuring model interpretability.

Reports to: ML Lead
Location: Remote or Hybrid in Bangalore, India
Duration:  6 months internship with an opportunity for PPO

What You'll Do:

• Algorithm Research & Support: Assist in researching, designing, and training computer vision models for authentication, fingerprinting, image capture, and other customer-centric computer vision applications.
• Code Quality & Testing: Write clean, modular, and well-tested code. Develop unit and integration tests to maintain high standards of code quality and reliability. Participate in code reviews, contributing to pull requests and collaborating with team members.
• Model Deployment Support: Provide support in building and maintaining APIs to efficiently deploy models in production.
• Continuous Learning: Stay current with advancements in Computer Vision and Machine Learning.
• Collaboration: Work with internal teams to understand needs and gather feedback on algorithm performance.
• Documentation: Contribute to clear and concise documentation of algorithms and models.

Who you are:

• Currently pursuing a Bachelor's or Master's degree in Electronics, Physics, Computer Science, or a related field.
• Foundational understanding of Computer Vision algorithm development.
• Familiarity with Python.
• Basic understanding of PyTorch and OpenCV.
• Strong foundational skills in probability & statistics, calculus, geometry, optimization, and linear algebra.
• Ability to rapidly acquire new skills and technologies.
• Strong problem-solving skills and attention to detail.
• Willingness to contribute to code reviews and collaborate with peers.

What we offer

• Market-competitive compensation structure
• Opportunities to gain hands-on experience in cutting-edge computer vision solutions.
• A collaborative, mission-driven work culture with direct product impact.
• Mentorship from experienced Machine Learning Engineers.
• Opportunities to learn about deploying models on edge devices.

We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are a passionate and eager individual looking to kickstart your career in Computer Vision and Machine Learning, we'd love to connect!

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Job Title: Manager, Software Engineer

Locations: Bangalore

Reports to: VP, AI Engineering

 A quick snapshot…

Conga is looking to hire a Manager, Software Engineering to join our extremely talented AI Engineering team. As an Engineering Manager at Conga, you’ll lead a team of software engineers working on our next generation AI Solutions. This team will be responsible for building statistical and machine learning models that support product features across the company. You’ll get to work directly with other Engineering Managers, Architects, Data Scientists, Product Managers, and Directors, all of whom make up the larger team. In this highly collaborative environment, you will have the opportunity to grow as a leader and help mentor others.

This position requires experience leading software engineering initiatives, knowledge of AI/ML solutions, as well as excellent people and time management skills. This role will be reporting to the VP of AI Engineering and will be a key engineering leader inside the Conga AI Pillar. The role requires you to collaborate with other leaders at Conga and guide your team to deliver high quality software solutions in a timely manner. The ideal candidate for this position is passionate about people, process, technology, and delivering customer values.

Conga works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with other Engineering and Product leaders, as well as work closely with other your team members are key components for success in this position.

Why it’s a big deal…  

8+ or more years of experience in the Software Engineering industry with a record of increasing responsibility leading software development initiatives, and 3+ years managing teams.

Deep understanding of the Software Development Lifecycle (SDLC) and Machine Learning Lifecycle (MLL).

Lead and drive the strategy, vision and roadmap for building robust, scalable AI/ML foundations and platforms — including but not limited to:

•  Feature stores
• Distributed ML model training
• Model versioning and evaluation
• Monitoring, drift detection, and automated retraining pipelines
• Responsible AI, model explainability, and fairness assessments

Experience with productionizing ML models and integrating them into real-time and batch applications. Work closely with data science partners and domain engineering teams to understand AI/ML use cases and build corresponding foundations for personalization, NLP, forecasting, recommendations, and generative AI.

Experience using a popular programming language such as: Python (preferred), Java, C#, Scala, etc.

Solid understanding of modern software development practices including object-oriented programming, concurrency, design patterns, microservices architecture, RESTful API design, and test-driven development.

Experience with software testing concepts and tools: white/black box testing, coverage analysis, mocking, PyTest/xUnit, Selenium, etc.

Hands-on experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and Vertex AI — or equivalent services in AWS and/or Azure.

Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, MLflow, scikit-learn, HuggingFace Transformers, etc.

Strong experience with Infrastructure-as-Code and CI/CD tools used to automate deployment to cloud platforms: Terraform, GitHub Actions, Concourse, Ansible, etc.

Excellent leadership, decision-making, and communication skills, with the ability to translate business needs into engineering outcomes.

Experience with AI product lifecycle management, including experimentation tracking, model governance, and release management.

Experience with Python is ideal; Java/Spring is a strong plus.

Education: Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred 

Are you the person we’re looking for?  

Provide engineering leadership and mentorship to a team of software engineers.

Be a strong engineering leader responsible for executing the Conga AI roadmap using agile practice.

Experience implementing scalable data and AI/ML solutions in a product-driven technology environment.

Manage, lead, and motivate cross-functional, interdisciplinary teams of software engineers to achieve strategic and tactical business outcomes.

Mentor and grow engineers in your team, fostering a culture of teamwork, accountability, and continuous improvement.

Demonstrated ability to skillfully hire, coach, and performance manage a team of technology professionals.

Partner with others at Conga to ensure engineering tasks are understood, broken down, and implemented to the highest of quality standards.

Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.

Encourage skill growth of your team members.

Assist and adhere to enforcement of project deadlines and schedules.

Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.

Highly technical, confident at the operational management level and comfortable in an engineering-heavy organization.

Track record of being a strong leader, with the ability to influence across teams and levels.

Work with development teams in an agile context as it relates to software development.

Here’s what will give you an edge…

Provide architectural guidance and technical oversight for AI/ML systems, ensuring solutions are scalable, secure, and production ready.

Drive engineering excellence by championing robust design, peer reviews, and efficient CI/CD practices tailored for AI systems.

Foster strong cross-functional partnerships with Product, Data Science, ML-Ops, and DevOps teams to accelerate delivery and innovation.

Travel Requirement

Limited travel to other company offices upon request

#LI-UB1

                                                                                                                                                                  Date: May 5, 2026

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview: As a Senior Staff Engineer, you will drive org‑level architecture, influence multi‑domain strategy, and lead complex, multi‑team programs across SaaS, Analytics, Edge, and more. You are a Senior Staff Level technical leader responsible for shaping long‑term architecture and engineering direction across domains. You will work on fundamental platform scaling, organizational architecture governance, and high‑impact cross‑team initiatives.

You are expected to:

• Multi‑team technical leadership
• Designing platform strategies and frameworks
• Owning architectural vision for multiple domains
• Coaching Staff and Senior engineers

​

Key Responsibilities:​

• Org‑Wide Architecture Leadership
  
  

• Define long‑term architecture for platform services.
• Lead large cross‑organization programs that span multiple engineering, product, and compliance teams.
• Shape architectural frameworks, standards, and best practices used across teams.

Strategy & Direction

• Partner with Directors, EMs, and Product/Compliance leadership to align engineering strategy with business goals.
• Identify and drive resolution of systemic architectural challenges.
• Influence roadmap decisions and investment areas across multiple domains.

Platform & System Design

• Design enterprise‑grade compliance and audit systems that guarantee correctness and reliability.
• Architect high‑scale ingestion systems capable of handling billions of events/day
• Lead large‑scale migrations, re‑architectures, and cost‑performance optimizations.

Reliability, Scale & Observability Leadership

• Set SLOs for critical systems across Netradyne’s platform.
• Drive platform‑wide initiatives for resilience, data quality, and observability.
• Develop frameworks and patterns for fault tolerance used across engineering.

Cross‑Team Influence

• Lead org‑wide design reviews and technical councils.
• Help navigate complex technical tradeoffs across teams and domains.
• Serve as a senior technical advisor and decision‑maker across projects.

Mentorship & Thought Leadership

• Coach and mentor Senior, Staff Engineers and emerging leaders
• Raise overall engineering maturity through standards, patterns, and frameworks.
• Represent engineering in strategic conversations, influencing stakeholders at all levels.

Mandatory Skills

All Staff requirements, plus:

• Demonstrated success driving org‑level architecture and multi‑team initiatives
• Deep expertise in distributed systems, scalability, and data platforms.
• Ability to convert ambiguous business/regulatory requirements into system architecture.
• Proven ability to influence across teams without authority.
• Strong storytelling and stakeholder management skills.

Preferred Skills

• Experience building enterprise‑grade compliance or regulatory systems
• Hands‑on experience operating complex ingestion/streaming infrastructures at massive scale.
• Experience defining engineering vision or leading long‑term platform strategies.

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Contact Information: For inquiries, please contact Recruiter at Jeffin.varghese.c@Netradyne.com.​​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

                                                                                                                                                                  Date: May 5, 2026

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview: We operate large‑scale, distributed systems that process billions of events per day with strict requirements on reliability, latency, data correctness, and cost efficiency. At Netradyne, you’ll work with a talented team of engineers, data scientists, and product leaders on problems that have a direct, real‑world impact on roads, fleets, and drivers. As a Staff Engineer, you will be a deep domain owner for IOT device Ingestion while closely collaborating with the adjacent domain. Your work will shape large‑scale systems relied on by fleets, drivers, and internal product ecosystems. As a Staff Engineer – Platform, you provide strong technical leadership and hands‑on ownership of core backend services and pipelines. You will anchor one of the primary domains from Netradyne portfolio of services and influence cross‑team architecture and execution.

You are expected to:

• Own key service architectures
• Design scalable ingestion and compliance workflows
• Ensure data quality, correctness, and reliability
• Mentor engineers and drive high engineering standards

​

Key Responsibilities:​

• Architecture & Technical Ownership

• Own architecture, design, and evolution of platform services.
• Drive system design for large cross‑service features from ingestion to downstream consumers.
• Define and maintain clean service boundaries, APIs, and data contracts.

Platform & Systems Development

• Design scalable, high‑throughput ingestion pipelines for logs, telematics, and event data.
• Build and optimize streaming and batch data workflows.
• Translate  regulatory requirements into robust system behavior and guardrails.
• Ensure correctness, ordering, idempotency, and fault tolerance across workflows.

Reliability & Observability

• Define and uphold SLOs for latency, availability, and data accuracy.
• Champion best practices in logging, monitoring, tracing, and alerting.
• Design for backpressure handling, graceful degradation, and system recovery.

Data Modeling & Storage

• Design data models and partitioning strategies for hot and cold data.
• Select appropriate storage technologies (SQL, NoSQL, time‑series, object storage) balancing scale, performance, and cost.

Cross‑Team Collaboration

• Work closely with Product, Data, Compliance, and Engineering teams to deliver domain initiatives.
• Lead design reviews, contribute to RFCs, and support cross‑team architecture discussions.

Mentorship & Engineering Quality

• Mentor engineers on system design, distributed systems, and platform thinking.
• Improve code quality, documentation, and operational best practices.

Mandatory Skills

• Strong CS fundamentals (DSA & system design).
• Deep hands‑on backend experience with Java, Spring Boot.
• Strong grounding in distributed systems concepts: consistency, durability, retries, idempotency, backpressure, partitioning, resilience.
• Practical experience with Kafka / Kinesis / Pulsar or similar.
• Experience operating production systems (on‑call, incidents, postmortems).
• Excellent communication and technical leadership ability.

Preferred Skills

• Experience building high‑throughput ingestion or streaming systems.
• Exposure to compliance‑heavy or audit‑driven domains (transportation, fintech, healthcare).
• Experience with edge or intermittently connected devices.
• Hands‑on work with observability stacks.
• Prior experience in ELD / HOS / telematics is a plus.

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Contact Information: For inquiries, please contact Recruiter at Jeffin.varghese.c@Netradyne.com.​​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

About the Role

We are looking for an experienced Staff Software Engineers to join the Veeam Data Cloud (VDC) engineering team. You will be working with a global team to build next-generation data protection services focused on ensuring data resilience for our customers. This is a unique opportunity to work on greenfield projects, building features from the ground up that will be deployed and utilized worldwide

What You'll Do

• Defines and drives technical vision for multiple areas within their team. Leads cross-team deliverables. 
• Design and develop highly reliable and scalable SaaS microservices, integrated with a variety of cloud-based managed services utilizing Golang 
• Participate in technical design discussions, reviewing code, and providing feedback to other engineers. Solves hardest, most ambiguous team wide challenges. Develops frameworks for others to follow.  
• Drives team deliverables in a timely and predictable fashion. Sets execution standards across the team. Ensure your code is high-quality, thoroughly tested, and secure 
• Facilitates effective collaboration and organizes across the engineering organization, drives discussions toward a resolution or action. Helps others across organization understand their team’s technology. 
• Participate in on-call rotation for product operations. 

What You'll Bring

• 10+ years of experience in the software development industry
• Demonstrated expertise designing, building, and implementing SaaS or large-scale cloud services on Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
• Expertise with a modern programming language like Go, C#, Java, Scala, or Rust
• Experience with Docker, Kubernetes or other container and orchestration tools
• Experience designing and implementing event-driven architectures
• Expertise in developing, testing, and debugging production-quality, scalable, concurrent systems
• A strong knowledge of computer science fundamentals (data structures and algorithms)
• Passion for code quality, extensibility, coding standards, testing, and automation

Bonus Skills

• Experience in the data protection industry

What You'll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

Join us to shape how developers build mobile apps with Couchbase! You’ll design and develop SDKs, frameworks, sample apps, and developer tools that make it seamless for iOS and Android developers to integrate Couchbase and build offline-first, high-performance apps.

Location: Bangalore, India | Work Model: Hybrid

What You’ll Do

• Build and maintain mobile SDKs, APIs, and sample apps showcasing Couchbase best practices.
• Create tutorials, videos, and guides to simplify Couchbase integration.
• Collaborate with product and engineering teams to improve the developer experience.
• Apply modern architectures (MVVM, MVI, Clean Architecture) and native platform conventions.
• Contribute to CI/CD pipelines, automation, and SDK quality assurance.
• Act as a developer advocate, mentoring engineers and engaging with the community.

What You Bring

• 6–9 years of experience in Swift and Kotlin development.
• Deep understanding of platform internals, networking, and performance tuning.
• Experience with C native interop, REST/gRPC, and offline data management.
• Familiarity with SwiftUI, Jetpack Compose, and unit/integration testing.
• Strong understanding of OOP, mobile architecture, design patterns, and software craftsmanship principles.
• Working experience in Agile/Scrum environments with collaborative cross-team communication.
• Bachelor’s degree in Computer Science or a related field.

Bonus Points

• Exposure to cross-platform frameworks (Flutter, React Native, .NET MAUI).
• Familiarity with SQL/NoSQL databases such as Couchbase/Firebase.
• Understanding of mobile security best practices — OAuth2, PKI, encryption, secure storage.
• Understanding of basic DevOps principles and exposure to DevOps pipelines and automation using GitHub Actions.

Why Join Us

• Define how mobile developers experience Couchbase through SDKs and native integrations.
• Build tools that power fast, reliable, and offline-first apps.
• Influence the future of mobile data experiences across platforms.
• Work with passionate engineers driving developer productivity and innovation.

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.

About the role

Entrupy is seeking a Senior Full-Stack Engineer who is excited about automating manual processes and can lead complex projects. As a Full-Stack Engineer, you will be responsible for automating the processes and workflows that can have a significant business impact by increasing the authentication team's efficiency and accuracy. You will need to have a strong understanding of both back-end and front-end development, as well as a willingness to learn new technologies quickly. In addition, we are looking for someone who can work effectively in a team that is spread across different time zones.

Some areas you will work on would include:

• • Creating image search systems - infrastructure for similarity searching tens of millions of images + metadata.
  • Creating tools to encode + expose knowledge for our authentication team (databases/CRMs)
  • Monitoring systems & other analytics work to help flag areas where our knowledge is lacking for our expert teams
  • Internal dashboards and customer support tools
  • Policy tracking and change management systems
  • Custom search systems and data investigation tools
  • Interfaces to explain machine learning and expert system output
  • Account management systems
  • Data annotation tools
  • Internal training platforms

Reports to: Engineering Manager
Location: Bangalore, India (Hybrid)

What You'll Do:

• Develop systems that follow modern design principles and are implemented using secure, flexible & scalable methodologies, promote a streamlined, collaborative environment & use efficient workflows while keeping focus on a positive user experience
• You’ll contribute reliable code across all phases of the development lifecycle, collaborating on product specifications and operational feasibility
• You’ll come up with ideas for projects to clean up technical debt and make it easier to develop in our codebases
• You’ll champion a balance between following good coding practices and delivering value for our customers quickly
• You’ll produce well-tested, extensible code that stands up to existing and future load requirements
• You’ll share your expertise in a thoughtful, no-ego way with all members of the team, coaching team members when needed
• Sheppard your contributions through peer review, testing, deployment, and finally monitoring in production

Who you are:

• Generalist with experience in web apps, backend services, and databases.
• 6+ years of experience in full-stack web development.
• Solid working knowledge of Python, and experience using it in backend services using Flask/Django/Fast API or similar web framework. 
• Experience with building front-end websites or tools using modern SPA frameworks like Vue/React.
• Experience with databases (Postgres, NoSQL, etc.)
• Experience working as the lead on various technical projects.
• Prior experience working in a startup-like environment

What we offer

• Market competitive compensation structure
• Hybrid with Flexible work from anywhere for 4 weeks per year
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage
• Opportunity to be part of category defining start up.

Culturally we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

Overview of Role

We are seeking a highly skilled and experienced SaaS Tools Administrator to manage and optimize our suite of Software as a Service (SaaS) applications. The ideal candidate will possess in-depth knowledge of industry-standard user provisioning methods, expert knowledge of API integrations, and a proven track record of effectively administering a wide range of SaaS tools.

Responsibilities

• Google Workspace (GWS): Demonstrable expertise in managing user accounts, security settings, compliance policies, and the full suite of GWS applications (Gmail, Drive, Calendar, Meet, Docs, Sheets, Slides, etc.). This includes troubleshooting user issues, optimizing configurations for collaboration and efficiency, and ensuring data integrity and accessibility within the Google ecosystem.
• Rippling: Comprehensive understanding of Rippling for HR, IT, and Finance automation. This encompasses managing the workflows of employee onboarding and offboarding, device management, and IT provisioning. Ability to leverage Rippling's capabilities to streamline operations and enhance employee experience.
• Salesforce: Advanced administrative skills in Salesforce CRM, including user and profile management, security settings, custom object and field creation, workflow rules, process builders, and report and dashboard development. Experience in maintaining data hygiene, optimizing sales processes, and integrating Salesforce with other business applications.
• Atlassian Products : Strong proficiency in administering Jira Service Management, including managing and configuring workflows needed for the different ITSM Practices and Principles. Strong proficiency of managing Jira platform including issue types, screens, custom fields, permissions, creating and generating reports, integrating Jira with development tools, managing queues, SLAs, and customer portals. In-depth knowledge of Confluence for knowledge management, documentation, and team collaboration, involving setting up spaces, pages, and templates, managing permissions, and integrating Confluence with other Atlassian products like Jira. Ability to promote effective content creation and organization within the platform.
• Microsoft 365: Extensive experience in administering Microsoft 365 services, including Azure Entra ID,, Exchange Online, SharePoint Online, Teams, and other Office 365 applications (Word, Excel, PowerPoint, Outlook). This covers user and license management, security and compliance policies, data governance, and troubleshooting common issues.
• GitHub: Proficient in administering GitHub repositories, user access, team management, and security settings. Understanding of version control concepts and the ability to support development teams in leveraging GitHub for code collaboration and project access management.
• Asana: Skilled in administering Asana for task and project management, including setting up projects, tasks, subtasks, dependencies, and deadlines. Experience in managing teams, assigning roles, and creating custom fields and workflows to optimize project execution and visibility.
• Navan: Experience in administering Navan for corporate travel and expense management. This involves managing user profiles, processing expense reports, and integrating with financial systems to streamline business travel operations.
• OutReach: Familiarity with administering OutReach for sales engagement automation. This includes managing sequences, templates, prospect lists, and integrations with CRM systems. Ability to support sales teams in leveraging OutReach for effective lead nurturing and outreach campaigns.
• Lucid: Proficient in administering Lucidchart and Lucidspark for visual communication and collaboration. This involves managing user accounts, team folders, templates, and integrations with other productivity tools. Ability to support teams in creating diagrams, flowcharts, and visual representations for various business processes.
• Slack: Expert-level administration of Slack workspaces, including user and channel management, app integrations, security and compliance settings, and best practices for team communication and collaboration. Ability to troubleshoot connectivity issues, manage notifications, and ensure effective use of the platform.
• Manage access to various SaaS Tools using Principle of Least Privilege. This involves ensuring users have only the necessary permissions to perform their job, reducing the risk of security breaches.
• Create API scripts to automate tasks and integrate different applications, ensuring they can communicate and share data efficiently.
• Use a CLI (Command Line Interface) to manage and configure systems, providing a powerful and efficient way to control software and hardware.
• Implement policies and tools to prevent sensitive data from leaving the organization's network using the DLP (Data Loss Prevention)
• Implement and maintain user provisioning and de-provisioning processes following industry best practices.
• Develop, manage, and troubleshoot API integrations between various SaaS platforms to ensure seamless data flow and automation.
• Configure and optimize SaaS application settings to meet business requirements and enhance user experience.
• Monitor SaaS application performance, availability, and security, identifying and resolving issues promptly.
• Provide technical support and guidance to end-users on SaaS application functionalities.
• Collaborate with internal teams (IT, Security, HR, Sales, Marketing) to understand their SaaS tool needs and implement solutions.
• Develop and maintain documentation for SaaS application configurations, processes, and procedures.
• Stay up-to-date with the latest SaaS trends, features, and security best practices.
• Conduct regular audits of user access and permissions to ensure compliance and security.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• 5+ years of experience in SaaS administration and management.
• In-depth knowledge of various SaaS tools and their administration, including those listed in the "Responsibilities" section.
• Expert knowledge of user provisioning methods (e.g., SCIM, JIT provisioning, directory synchronization) and identity management solutions .
• Expert knowledge of API integration principles, RESTful APIs, and webhook configurations.
• Proficiency in scripting languages (e.g., Python, PowerShell) for automation and integration tasks.
• Strong understanding of security best practices related to SaaS applications.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Job summary

We are seeking Principal Platform Product Manager to define and lead DigiCert's API platform as both an internal engineering standard and externally differentiated developer product. This is a dual access role: inbound, you are the Platform authority who sets API structure, governance, guardrails and developer experience standards that all DigiCert product teams build to. Outbound, you are the thought leader who shapes the developer portal, external API experience and MCP strategy that customers, partners and 3rd party developers depend on. The person in this role will simultaneously be the most demanding internal API standard setter and the most credible external advocate for what a best-in-class digital trust API platform can be.

The Principal Platform Product Manager is responsible to understand market needs and trends, collaborate with product teams horizontally across the portfolio, manage the delivery and success of initiatives and supporting platform components in a data-driven manner, and drive priorities that maximize platform value to both internal and external customers. The Principal Platform Product Manager will lead strategic and tactical activities for large, broad, and highly complex initiatives that impact all portfolio solutions, not limited to Platform. This is a critical, highly visible role charged with the strategy and driving the execution of priority initiatives at all levels across the organization. Individuals in this role will also mentor lower-level contributors. This role has a seat on the Platform Product Management team. 

What you will do

What you will have

• 10 + years of experience in a technical or product role
• Proven experience and depth of understanding of Enterprise API Governance and best practices
• Experience with / working understanding of commercial API Platforms and the problems they solve for customers, partners and developers
• A working understanding of Model Context Protocol, and how it is used in association with APIs by internal and external stakeholders
• Credential or degree in business or engineering/computer science 

Nice to have

• Platform Product Management Experience
• MBA or Advanced Technical degree/credentials 

Benefits

• Generous time off policies
• Top shelf benefits
• Education, wellness and lifestyle support

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