Responsibilities for this SDE II Engineer role include owning end-to-end frontend development, building reusable UI components, and partnering with various teams to deliver seamless experiences. Candidates should have 3-5 years of frontend development experience and strong debugging skills. The role offers high ownership and impact in a fast-moving engineering culture.Required: • 3–5 years of experience in frontend development in a product-based environment • Optimize applications for performance, scalability, and cross-browser compatibility • Continuously improve existing features and fix bugs with speed and quality • Stay updated with modern UI standards and emerging frontend technologies • Strong debugging skills and exposure to monitoring & deployment processes Preferred: • Experience with TypeScript • Familiarity with state management libraries (Redux, Redux Saga) • Understanding of bundling tools (Webpack, Parcel, Rollup) • Experience with unit testing / TDD (Jasmine, Mocha, Karma) • Basic understanding of Node.js and Express.js

Key Responsibilities: • Design, develop, and maintain high-performance, scalable cloud services • Collaborate with cross-functional teams to define, design, and ship new features. • Ensure the best possible performance, quality, and responsiveness of services. • Identify and correct bottlenecks and fix bugs. • Help maintain code quality, organization, and automatization. • Participate in code reviews and provide constructive feedback to team members. • Mentor junior engineers and help them grow their technical skills. • Stay up-to-date with the latest industry trends and technologies to ensure our products remain cutting-edge. Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Experience: 5+ years of hands-on experience in software engineering. • Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions. • Agile Development: Experience with Agile development methodologies and practices. • Communication Skills: Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders.

Key Responsibilities: • Design, develop, and maintain high-performance, scalable cloud services • Collaborate with cross-functional teams to define, design, and ship new features. • Ensure the best possible performance, quality, and responsiveness of services. • Identify and correct bottlenecks and fix bugs. • Help maintain code quality, organization, and automatization. • Participate in code reviews and provide constructive feedback to team members. • Mentor junior engineers and help them grow their technical skills. • Stay up-to-date with the latest industry trends and technologies to ensure our products remain cutting-edge. Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Experience: 2+ years of hands-on experience in software engineering. • Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions. • Experience with Agile development methodologies and practices. • Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders.

Required: • Play a critical role in advancing our full-service payroll platform that handles tax filing and payments for thousands of taxes across businesses. • Own and drive core initiatives by creating new products/features from the ground up as well as rearchitecting key components of our platform. • Confidently ship moderate/large features and improvements with minimal guidance and support from other team members. • Collaborate with the team on larger projects. • Model and execute against requirements involving complex and interdependent systems. • Take ambiguous technical problem statements and turn them into an actionable plan, and then execute on it with the team. • Implement comprehensive unit tests for confirming functionality and the quality of code. • Ensure high-quality code and related documentation. • Build relationships with teams across engineering, ops, and support, to understand their needs and help improve their day-to-day workflows. • Strong CS knowledge and expertise. Preferred: • Experience in building projects with good abstractions and architecture.

Required: • Bachelor’s degree in Engineering, Computer Science, Business, or related field (MBA preferred). • Experience in managing end-to-end deployment projects, working with cross-functional teams including operations, engineering, vendors, marketing, compliance and security. • Ensure all products adhere to NPCI guidelines, RBI mandates, PCI-DSS standards, EMV requirements and data security best practices. • Act as the primary liaison between internal stakeholders like tech, operations, compliance, finance, sales and external partners like Banks, NPCI, OEMs, card networks (Visa/MasterCard/RuPay). • Manage vendor relationships for hardware, software, and transaction processing partners. • Define KPIs and continuously track product performance—transaction volumes, success rates, uptime, customer adoption. • Analyse user feedback and operational metrics to identify gaps and areas for improvement. • Collaborate with marketing and sales teams for product positioning, partner onboarding, and field deployment strategies. • Train internal teams and partners on product usage, features, and benefits. Preferred: • Deep understanding of ATM architecture and end-to-end transaction lifecycle. • Micro ATM hardware/software ecosystem, transaction processing, switch integration, card schemes (RuPay/Visa/Mastercard) and NPCI platforms. • Proven experience working with large-scale transaction systems and assisted payment models. • Strong project management, communication, problem-solving and analytical skills. • Proficient in tools like JIRA, Confluence, Excel, SQL and dashboarding tools (e.g., Tableau, Power BI). • Proven ability to manage conversion funnels and user engagement campaigns. • Hands-on experience with product analytics platforms (e.g., Clevertap and Firebase). • Familiarity with product development lifecycle, agile delivery, wireframing tools, and UAT processes.

Required: • B.S. degree or higher in Computer Science or a related technical field. • Solid understanding of Computer Science fundamentals (Data Structures, Algorithms, OOP) and web development basics. • Experience writing basic unit tests. • Good communication skills in English. • A growth mindset with a strong eagerness to learn, ask questions, and improve your technical skills in a collaborative environment. Preferred: • Experience with Next.js or Spring Boot. • Familiarity with GraphQL for API development. • Exposure to gRPC/Protobuf for microservices communication. • Understanding of event-driven systems using technologies like Kafka. • Familiarity with version control systems (Git). • Exposure to database concepts (SQL or NoSQL). • Basic knowledge of cloud platforms (AWS) or containerization (Docker).

Truemeds is hosting a walk-in hiring drive for passionate and experienced Backend Engineers across SDE-1, SDE-2, and SDE-3 levels. The role involves building impactful, scalable solutions in the health-tech space and contributing to a fast-scaling organization. Interested candidates should register and book their slot using the provided link.

Scaler AI Labs is seeking Data Scientist and Research Scientist Interns for a 6-month full-time internship starting January 2026. The role involves working on frontier AI models to solve real-world enterprise workflows. Responsibilities: • Identify real-world industry use cases where current frontier models fall short • Create high-quality, use-case-specific datasets and evaluation benchmarks, and baseline frontier models against them • Fine-tune models to demonstrate clear performance improvements on enterprise AI use cases • Build realistic, enterprise-grade datasets based on actual workflows in B2B platforms • Design and run evals for computer-use models on enterprise applications Required: • Available for a full-time 6-month internship starting January 2026 • Background in a STEM field such as Computer Science, Mathematics, or Statistics • Prior exposure to ML research through projects, open source, labs, internships, or publications, OR an active Kaggle profile with contributions to datasets, notebooks, or competitions

Required: • Own 99.9%+ platform uptime for real-time Voice AI workloads. • Participate in on-call rotations, incident response and post-incident reviews. • Lead root cause analysis (RCA) and drive permanent reliability improvements. • Design and implement self-healing systems using automation, retries, circuit breakers and failover strategies. • Design, operate and scale Kubernetes clusters in public cloud environments. • Work with managed Kubernetes platforms such as GKE, and apply cloud-native best practices. • Implement auto-scaling strategies (HPA, VPA, node pools, GPU workloads). • Manage infrastructure using Infrastructure as Code (Terraform). • Optimize infrastructure for performance, reliability and cost efficiency. • Build and maintain monitoring, logging and alerting systems using Prometheus, Grafana, Loki and OpenTelemetry. • Define SLIs, SLOs and error budgets for platform and AI workloads. • Drive signal-based alerting to reduce noise and improve response quality. • Implement anomaly detection and predictive alerting for infrastructure and AI pipelines. • Design and maintain CI/CD pipelines for services and infrastructure. • Build internal automation tooling for: Progressive and canary deployments, Auto-scaling and capacity planning, Faster incident diagnosis and recovery. • Enable self-service DevOps workflows for engineering teams. • Own reliability and performance of STT, TTS and LLM inference pipelines. • Design provider routing, failover and SLA enforcement mechanisms. • Deploy, version and roll back AI models and inference services. • Monitor inference latency, quality and drift in production systems. • Operate GPU-backed inference workloads where applicable. • Enforce DevSecOps practices across build and deploy pipelines. • Implement network policies, encryption, secrets management and access controls. • Drive disaster recovery, backup strategies and resilience testing. • Contribute to SOC2 / ISO compliance and audits. • Partner with backend, AI and platform teams on architecture and reliability. • Influence system design through a reliability-first mindset. • Mentor junior engineers and raise the overall bar for operational excellence. Qualifications: • 3–6 years of experience in DevOps, SRE or Platform Engineering roles. • Strong hands-on experience with Kubernetes and Docker in production environments. • Familiarity with public cloud platforms and managed Kubernetes services (such as GKE). • Strong understanding of distributed systems and production debugging. • Hands-on experience with observability systems. • Proficiency with Infrastructure as Code (Terraform). • Strong incident ownership and communication skills. Good-to-Have: • Experience with MLOps or AI inference platforms. • Familiarity with LLM pipelines, real-time streaming or telephony systems. • Experience operating GPU workloads. • Knowledge of AIOps, anomaly detection or intelligent alerting. • Cloud cost optimization experience. Why Blue Machines: • Build global-scale AI infrastructure from India. • Operate real-time Voice AI systems with 14.5M+ minutes in production. • Work on low-latency, high-reliability platforms. • Grow from DevOps/SRE into MLOps and AI platform engineering. • High ownership, deep technical impact and real production scale

Required: • Pursuing a bachelor's degree • Enrolled in second year of a 4-year undergraduate degree program at time of application • Completed an Introduction to Computer Science course (or equivalent class) by the start of the program. Preferred: • Demonstrated interest in majoring in computer science, computer engineering, software engineering or related technical major.

Required: • Currently pursuing a Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. • Must have at least one additional quarter/semester of school remaining following the completion of the internship. Responsibilities: • Use machine learning, statistics, experiments, and other methods to build and improve products. • Collaborate with stakeholders to formulate approaches to solve problems. • Utilize algorithms and data sources in the context of business and engineering needs. • Combine engineering abilities with analytical skills to enhance customer experiences. • Explore data to discover new questions or opportunities and propose applicability and limitations of the data. • Interpret analysis results, validate approaches, and monitor/iterate to improve continuously. • Engage with peer stakeholders to produce clear, compelling, actionable insights to influence product and service improvements. • Participate in the peer review process and act on feedback. Preferred: • Previous experience as a Data Scientist, Digital Specialist, Senior Consultant, Senior Software Engineer, or Senior Data Engineer is a plus.

Techiatrix is expanding its team, seeking a Product Designer with strong experience in Enterprise SaaS. This role focuses on complex SaaS products and data-heavy dashboards, requiring a deep understanding of flows, systems, and edge cases, along with excellent design taste and UX thinking. Additionally, they are looking for a Motion Designer to create product and brand motion, including micro-interactions, transitions, UI feedback, and visuals for marketing assets, with experience in Rive, Lottie, and After Effects. Interested candidates should share their best work at [email protected].

Responsibilities: • Own and build next-generation web applications that are efficient, reusable front-end abstractions and systems. • Explore and design lively and compelling consumer experiences. • Ensure that all the assigned systems are performing to scale. • Actively participate in design and code reviews to build robust applications and Prototypes. Requirements: • B. E/B. Tech or any other similar qualification with a minimum of 3 years of experience in the following technology stack. • Understanding of browser internals and a basic understanding of the network stack. • Understanding of common design patterns followed in front-end projects. • Basic awareness of application security practices and deployment techniques for front-end projects. • Should have sound knowledge in computer science fundamentals like data structure, object-oriented programming, and possess excellent communication skills. Preferred: • Deep expertise in JavaScript, HTML5 and CSS3 and knowledge in any one of the Frameworks like React, Angular, and Ember is a plus. • Good experience in building scalable web applications, preferably from e-commerce or start-up backgrounds. • You should always be on top of trending UI technologies and willing to contribute back to the open-source network.

Required: • Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) or IT or cybersecurity • Comfortable writing and refining prompts for large language models • Building scripts or tools to support cybersecurity tasks • Collaborating with a team to turn ideas into working prototypes Preferred: • Any exposure to GenAI frameworks, APIs, or security concepts like OWASP or CTFs

Required: • Design, develop, and maintain scalable backend services with a focus on high performance and reliability • Write clean, maintainable, and production-ready code following best practices • Build and enhance applications, APIs, database integrations, and internal tools • Lead and participate in architecture discussions and technical reviews • Collaborate cross-functionally to ensure solutions meet product goals, timelines, and compliance standards • Support testing, deployment, monitoring, and optimization of new features • Conduct thorough code reviews and mentor junior developers when needed • Drive improvements in backend performance, security, and infrastructure Qualifications: • 5-7 years of professional experience in backend development (SE-III level) • Strong proficiency in Golang with deep understanding of its concurrency model and performance patterns • Solid experience building REST APIs, microservices, and distributed systems • Hands-on expertise with relational and NoSQL databases (e.g., PostgreSQL, MongoDB) • Experience with containerization and orchestration (e.g., Docker, Kubernetes preferred) • Familiarity with CI/CD pipelines and cloud deployment environments • Strong understanding of version control systems (Git) • Ability to diagnose complex production issues and propose long-term solutions • Excellent problem-solving skills, ownership mindset, and ability to operate in a fast-paced environment.

Key Responsibilities: • Design, develop, test, and deploy scalable software solutions. • Write clean, efficient, and maintainable code. • Work closely with product managers and senior engineers to understand requirements and deliver high-quality features. • Troubleshoot, debug, and improve existing systems. • Participate in code reviews and contribute to engineering best practices. • Learn and adopt new technologies, tools, and frameworks as needed. What We’re Looking For: • Strong problem-solving and analytical skills. • Solid understanding of Data Structures, Algorithms, and OOP concepts. • Proficiency in at least one programming language such as Java, C++, Python, or Go. • Basic understanding of databases, OS fundamentals, and web technologies. • Eagerness to learn, adapt, and take ownership. • Good communication and collaboration skills. Eligibility: • 6 months to 1 year of experience, with a degree in Computer Science, IT, or related fields. • Strong academic background or proven coding skills through competitive programming, projects, internships, or GitHub contributions. Life at Media.net: • Supportive work environment. • Great medical care, life insurance, discounted meals, and concierge service. • Flexible work hours and flexi leaves.

Required: • Develop and maintain data pipelines, tools, and datasets under the guidance of senior engineers • Build reliable, scalable components on cloud platforms for ingestion, transformation, and data delivery • Collaborate with engineering, analytics, and product teams to understand functional requirements and convert them into technical tasks • Contribute to low-level design and write clean, high-quality, well-tested code • Take ownership of assigned tasks/modules and ensure timely, high-quality execution • Assist in optimizing pipeline performance, improving latency, and enhancing overall data reliability • Learn, evaluate, and integrate modern big data tools and frameworks • Support operational excellence by participating in monitoring, debugging, and issue resolution • Maintain strong documentation and adhere to coding, data-quality, and architectural standards • Primarily hands-on role focused on programming, execution, and continuous improvement • 0–1 years of experience in data engineering, backend engineering, or related technical fields Preferred: • Experience or academic exposure to big data technologies (Hadoop/Spark/Hive/Presto) • Familiarity with message queues (Kafka, Kinesis, RabbitMQ) • Proficiency in at least one programming language — Python, Java, or Scala • Basic understanding of REST services and data ingestion/extraction patterns • Good understanding of data warehousing concepts and ETL/ELT fundamentals • Strong SQL skills (joins, aggregations, window functions, CTEs, etc.) • Understanding of distributed computing principles • Strong analytical and problem-solving abilities and comfort working with large datasets • High ownership, eagerness to learn, and ability to work in ambiguous, fast-paced environments • Detail-oriented mindset with a focus on reliability, accuracy, and data quality. • Exposure to cloud platforms (AWS preferred) • Experience with MPP data warehouses (Snowflake, Redshift) • Hands-on experience with Apache Spark or Kafka • Familiarity with NoSQL stores (Redis, DynamoDB, Memcached) • Experience with Git, CI/CD pipelines, or containerization (Docker) • Interest in data architectures, performance optimization, and large-scale distributed systems.

Role Responsibilities: We’re opening our first ever office in India, and looking to hire for a Software Engineer to advance our mission of building real-time multimodal intelligence. What You'll Do • Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models • Work closely with our research team and product engineers to translate cutting edge research into incredible products • Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training • You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications. What You'll Bring • Strong engineering skills, comfortable navigating complex codebases and monorepos. • An eye for craft and writing clean and maintainable code. • Experience building large-scale distributed systems with high demands on performance, reliability, and observability. • Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity. • [bonus] Background in or experience working with machine learning and generative models. Education Requirements: • None explicitly stated, but PhD from Stanford AI Lab mentioned for founding team. Other Details: • The role offers equity. • The company is funded by leading investors and has strong advisors. • The team is in-person based out of San Francisco.

Required: • Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff. • Follows well-established internal conventions and standard procedures. • Understands internal standards & processes and applies them to make technical decisions. • Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions. • May contribute to code & design reviews. • 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience. Preferred: • Responsible for the development and delivery of applications that power PayPal’s Checkout user experiences on the web. • Works closely with product, design, and analytics teams. • Delivers complete solutions and features spanning all phases of the software development lifecycle. • Shapes the future of PayPal's customer facing checkout products. • Contributes to architectural decisions and influences the technical direction of web applications. • Utilizes expertise and business domain understanding to improve platform scale, reliability, and performance. • Contributes to software performance, identifying and resolving bottlenecks via monitoring, logging, and metrics. • Contributes to clean, scalable, high-performing, secure, and reliable software services. • Contributes to critical non-functional requirements (Availability, Security, Performance, Scalability, and Observability). • Improves automated test strategies, build and deploy processes. • Collaborates with other development teams for seamless integration and deployment. • Communicates effectively with all technical and non-technical partners and stakeholders. • Conducts formal and informal code reviews, providing constructive feedback. • Stays up-to-date with latest industry standards, tools, and technologies related to client-side development, observability, and DevOps practices. • Participates in program planning, contributing to the product and technology roadmap. • Familiarity with observability tools and experience monitoring production systems. • Solid understanding of modern web possibilities and limitations across device types and form factors. • Experience in building responsive, accessible, and mobile-friendly user interfaces. • Strong attention to detail and passion for delivering high-quality software solutions. • Strong problem-solving skills, ability to work independently or collaboratively. • Excellent communication skills. • Experience with modern software development practices, version control systems, and agile methodologies. • Awareness of security standards, prevention, and mitigation mechanisms for web applications.

CoinDCX is actively hiring for a Senior Software Engineer 1 (SDE2) for their Backend team. This role involves working with technologies like Golang, GraphQL, Python, Django, and Microservices. Candidates with 3-5 years of experience should apply via the provided referral link.