4823 Latency Jobs - Page 17

JOB DESCRIPTION Designation : Network Security Engineer Department : Engineering Job Type : Full-time Experience : 3-5 years of experience Location : Hyderabad Open Positions : 2 About the Role We are looking for a for Network Security Engineers with 4-5 years of Experience to join our team to drive growth. What You’ll Be Doing Reporting to Sr Engineer – Networking team of Engineering department & the key responsibilities would be to: Responsibilities: Operating Systems: Strong working knowledge of Windows 10 and Linux environments for basic troubleshooting and network connectivity issues. Switching: Hands-on experience with L2 and L3 switching, including VLAN configuration, trunking, Inter-VLAN routing, STP, EtherChannel, and Port Security. Routing: Proficient in Static Routing and dynamic routing protocols such as RIP, OSPF, and BGP (basic to intermediate). Network Devices: Configuration, troubleshooting, and maintenance of Cisco and Juniper series switches and routers. Firewalls: Experience with enterprise-grade firewalls: FortiGate is must Strong troubleshooting skills in firewall policy configurations, NAT, VPN setups (Site-to-Site & Remote Access), IDS/IPS, traffic shaping, and SD-WAN environments. Daily log analysis and proactive incident detection and remediation. Monitoring & Network Management: Proficient in using network monitoring tools like PRTG, OpManager, HP Network Node Manager (NNM), and SolarWinds for health checks and proactive alerts. Daily Operations: Conduct daily health checks of network infrastructure: monitoring latency, packet loss, bandwidth usage, and data center performance. Strong troubleshooting and root-cause analysis skills for complex network issues. Effectively manage and document customer issues in detail, ensuring timely resolution. Responsible for escalation to L3 support or vendors when necessary, with thorough problem documentation and follow-up. Cloud Networking (AWS): Familiarity with AWS networking concepts and architectures. Experience in AWS VPN deployment and configuration of FortiGate and Juniper firewalls within AWS environments. Information Security Awareness: Foundational knowledge of security standards such as ISO 27001, HIPAA, PCI-DSS. Awareness of Ozonetel Information Security Framework, policies, and standards (if applicable). Maintain security hygiene across desktop, server, application, database, and network layers. Education Qualification: Any Graduate Key Competencies: Strong troubleshooting and analytical skills for resolving escalated issues. Ability to handle critical incidents and perform under pressure. Strong documentation and communication skills. Proactive approach to network monitoring and preventive maintenance. Job Category: Engineering Job Type: Full Time Job Location: Hyderabad

About Focuz Focuz is a well-funded, early-stage startup on a mission to redefine video intelligence. We are building a next-generation platform that transforms raw video streams from any camera into structured, actionable insights. Moving beyond simple object detection, we are creating a system that understands context, behavior, and patterns, enabling businesses and consumers to make smarter decisions. We are a small, agile team of builders and innovators, and we're looking for foundational members to help us shape the future of video technology. As a Senior Python Engineer focused on Video Systems, you will be one of our foundational engineering hires. You will tackle the unique and complex challenges at the intersection of real-time video streaming, Camera device communication, and distributed backend systems. You will be responsible for designing and building the software that reliably ingests, transports, and controls video feeds from thousands of cameras in diverse environments. You will work on everything from the lightweight agent running on-site—complete with its own local database—to the cloud-based control plane that orchestrates it all. If you are a pragmatic problem-solver who loves building robust systems from the ground up, this role is for you. What you'll do: Design and build our core Python-based service that runs on-site to communicate with cameras, manage video streams, and store metadata locally using SQLite. Develop and maintain the backend services for our cloud control plane using Python, FastAPI, and asynchronous programming. Implement and manage our IoT communication layer using MQTT for secure, low-latency command and control of devices. Integrate with a variety of video protocols and technologies, including RTSP for camera ingestion and WebRTC (WHIP) for efficient streaming to the cloud. Work with our data layer, designing schemas and writing efficient queries for PostgreSQL in the cloud and SQLite on the edge. Write clean, maintainable, and well-tested code, and contribute to a culture of quality. Requirements: 5+ years of professional experience in backend development using Python. Strong proficiency with modern Python frameworks like FastAPI or Flask, with a deep understanding of asynchronous (async/await) programming. Solid experience with relational databases and SQL. You should be comfortable working with both large-scale databases like PostgreSQL and embedded databases like SQLite. Hands-on experience with Docker and building containerised applications from scratch. Comfortable working in a Linux environment and using command-line tools. A pragmatic and product-oriented mindset: You can navigate ambiguity, take ownership of problems, and are driven to find the simplest, most effective solutions. Excellent communication skills and a collaborative spirit. Nice to have: Experience with video streaming technologies (WebRTC, RTSP, HLS) is a significant advantage. Familiarity with media servers (like go2rtc) or video processing libraries (FFmpeg). Practical experience with MQTT or other IoT messaging protocols. Experience with data processing pipelines (ETL, data transformation). An "AI-positive" attitude and an interest in leveraging AI tools to enhance productivity. Our Tech Stack Backend: Python, FastAPI, Asyncio Video & IoT: WebRTC, RTSP, go2rtc, MQTT, ONVIF Databases: PostgreSQL (Cloud), SQLite (Edge) Infrastructure: Docker, Kubernetes, Terraform, AWS/GCP What We Offer A fully remote and flexible work environment. A foundational role with a massive impact on the product and company culture. Bonus for performance Career growth opportunities

We are seeking a skilled and experienced DevOps Engineer with expertise in architecting, implementing, and managing hybrid cloud infrastructure to enable seamless deployment and scaling of high-performance applications and machine learning workloads. Proven experience in cloud services, on-premises systems, container orchestration, automation, and multi-database management. Key Responsibilities & Experience : - Designed, implemented, and managed scalable AWS infrastructure leveraging services such as EC2, ECS, Lambda, S3, DynamoDB, Cognito, SageMaker, Amazon ECR, SES, Route 53, VPC Peering, and Site-to-Site VPN to support secure, high-performance, and resilient cloud environments. - Applied best practices in network security, including firewall configuration, IAM policy management. - Architected and maintained large-scale, multi-database systems integrating PostgreSQL, MongoDB, DynamoDB, and Elasticsearch to support millions of records, low-latency search, and real-time analytics. - Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling automated testing, Docker builds, and seamless deployments to production. - Managed containerized deployments using Docker, and orchestrated services using Amazon ECS for scalable and resilient application environments. - Implemented and maintained IaC frameworks using Terraform, AWS CloudFormation, and Ansible to ensure consistent, repeatable, and scalable infrastructure deployments. - Developed Ansible playbooks to automate system provisioning, OS-level configurations, and application deployments across hybrid environments. - Configured Amazon CloudWatch and Zabbix for proactive monitoring, health checks, and custom alerts to maintain system reliability and uptime. - Administered Linux-based servers, applied system hardening techniques, and maintained OS-level and network security best practices. - Managed SSL/TLS certificates, configured DNS records, and integrated email services using Amazon SES and SMTP tools. - Deployed and managed infrastructure for ML workloads using AWS SageMaker, optimizing model training, hosting, and resource utilization for cost-effective performance. Preferred Qualifications : - 3+ years of experience in DevOps, Cloud Infrastructure - Bachelors degree in Computer Science, Engineering - Experience deploying and managing machine learning models - Hands-on experience managing multi-node Elasticsearch clusters and designing scalable, high-performance search infrastructure. - Experience designing and operating hybrid cloud architectures, integrating on-premises and cloud-based systems Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 3 years (Required) Work Location: In person Speak with the employer +91 8360518086

We are seeking a skilled and proactive Hardware & Networking Engineer to manage, maintain, and support our IT infrastructure, including surveillance systems (CCTV), hardware components, and data networks. The ideal candidate will have strong technical expertise in hardware troubleshooting, network setup, surveillance system installation, and network security protocols. Key Responsibilities: Hardware & Networking: Install, configure, and maintain desktop PCs, laptops, printers, and other hardware. Perform routine maintenance and updates of hardware systems. Troubleshoot hardware failures and perform necessary repairs or upgrades. Set up and manage LAN/WAN infrastructure, routers, switches, and firewalls. Ensure network availability and reliability through monitoring and optimization. Surveillance Systems (CCTV): Design, install, configure, and maintain CCTV systems and surveillance solutions. Ensure continuous operation of all surveillance cameras, DVR/NVR systems. Monitor video footage and manage data storage/backup protocols. Perform routine checks and diagnostics on surveillance equipment. Ensure security and privacy compliance of surveillance infrastructure. Data Networking: Set up and manage wired and wireless networks. Implement and monitor network security measures including firewalls, antivirus, and VPNs. Support VoIP and other IP-based communication systems. Conduct network performance tests and troubleshoot latency or connectivity issues. Document network configurations and update diagrams regularly. Requirements: Diploma or Bachelor's degree in Computer Science, IT, Electronics, or related field. Minimum 2–4 years of relevant experience in hardware, networking, and CCTV. Strong knowledge of TCP/IP, DNS, DHCP, VLANs, and routing protocols. Hands-on experience with routers, switches, and network tools. Familiarity with DVR/NVR systems, IP cameras, PoE switches, and video analytics software. Certification in CCNA, CompTIA Network+, or similar is a plus. Strong problem-solving skills and attention to detail. Ability to work independently and handle on-site installations or support calls. Preferred Skills: Experience with structured cabling and cable management. Knowledge of biometric access control systems. Familiarity with remote surveillance access and mobile monitoring apps. Understanding of cybersecurity best practices for hardware and network systems. Working Conditions: Office and on-site field work as required. May involve weekend or after-hours support for urgent issue Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Experience: hardware,networking and cctv: 2 years (Preferred) Work Location: In person Application Deadline: 26/07/2025 Expected Start Date: 24/07/2025

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India. Who We Are. Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients. Position Overview We are seeking a Backend Developer with deep expertise in Java and Spring Boot to join our global engineering team. You will play a key role in designing and building scalable backend services and APIs for our trading and financial applications. This is a hands-on development role where you will contribute to core system architecture, performance, reliability, and security. What You’ll Do Design, develop, and maintain scalable, high-performance backend systems using Java and Spring Boot Collaborate with cross-functional teams, including front-end, DevOps, QA, and product management, to deliver well-integrated solutions Participate in system architecture design and contribute to key decisions on technology stack and best practices Write clean, maintainable, and testable code Perform code reviews and mentor junior developers Troubleshoot and resolve performance, scalability, and reliability issues Contribute to CI/CD pipeline improvements and infrastructure automation Stay current with emerging backend technologies and promote their adoption when appropriate Key Requirements Strong professional experience with Java and Spring Boot in a production environment Solid understanding of object-oriented programming, concurrency, and design patterns Experience building RESTful APIs and backend services Familiarity with Agile development practices, Git, and CI/CD workflows Excellent problem-solving skills and a strong sense of ownership Good To Have Experience working in trading systems, exchanges, or financial platforms Exposure to Kafka or other event-driven architectures Experience with C++ (for low-latency or performance-critical systems) Knowledge of web technologies and building full-stack applications Familiarity with AWS cloud services and Terraform for infrastructure-as-code Experience with databases such as PostgreSQL and MongoDB Understanding of distributed systems and microservices architecture Axi's bag of delights Competitive and attractive compensation. Extensive learning opportunities, such as professional training and certifications and soft skills development. 18 annual leave days per year. 12 sick days leave per year. Public holidays as declared by local government. Maternity leave as per law. Health Insurance. Axi's interview journey Talent Acquisition Interview (45 minutes) Tech Interview (1 hour) Hiring Manager Interview (30 minutes) At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued. Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.

Company Description CNB Finwiz Private Limited is a boutique financial services company specializing in execution services for sophisticated traders using high frequency and latency-sensitive strategies in NSE and BSE MCX. We offer state-of-the-art infrastructure by integrating the latest generation of servers and network switches, ensuring excellent connectivity with co-location systems in NSE and BSE MCX. Role Description This is a full-time, on-site role for an Assistant Manager located in Delhi, India. The Assistant Manager will be responsible for day-to-day operations management, team supervision, strategy implementation, and ensuring seamless execution of trading services. Additional responsibilities include coordinating with various departments, problem-solving technical issues, and maintaining high service standards for clients. Qualifications Team management, supervision, and leadership skills Knowledge of trading services, especially in high frequency and latency-sensitive strategies Experience with infrastructure management, including servers and network switches Problem-solving skills and the ability to manage operational issues Strong communication and interpersonal skills Experience in financial markets, particularly NSE and BSE MCX Bachelor's degree in Finance, Business Administration, or a related field

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Company Description: McDonald’s new growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts, we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive Thrus, through McDelivery, dine-in or takeaway. Leading this revolution is McDonald’s Global Technology organization made up of intrapreneurs who get to build really cool tech with scary smart people using the latest innovations like AI, IOT, and edge computing. We do this working along diverse, global teams who are always hungry for a challenge. It’s bonus points when you get to see your family and friends use the tech you built at their favorite McD restaurant. Job Description: This opportunity is part of the Global Technology Enterprise Products & Platforms (EPP) Team, focused on the Treasury Management System, Kyriba, where our vision is to “Always be a... people led, product centric, forward-thinking & trusted technology partner”. The Senior Technical Analyst supports the Technical Product Management leadership in technical / IT related delivery topics (e.g., trade-offs in implementation approaches, tech stack selection) and provides technical guidance for developers / squad members. Manages the output (quality and efficiency) of internal / external squads to ensure they are delivering to the standards required by McD. Participate in roadmap and backlog preparation. Builds and maintains technical process flows and solution architecture diagrams on Product level. Leads acceptance criteria creation and validation of development work. Supports hiring and development of engineers. Will also act as a technical developer to assist the development team. This position reports to the Technical Product Manager. Responsibilities & Accountabilities: Product roadmap and backlog preparation In partnership with the TPM, participate in roadmap and backlog prioritization, providing technical perspectives towards translating Epic into user stories for the Develop team to work on, as well as backlog refinement processes. Analyze existing business processes, workflows, and systems to identify inefficiencies, bottlenecks, and opportunities for improvement. Build and update documents required as part of the product development lifecycle, in close coordination with product, technical and business teams (business & functional requirements for feature development, functional test scripts, and process documents). Create detailed requirements documents, user stories, use cases, and acceptance criteria to guide the development and implementation of technology solutions. Ensure that requirements are clear, comprehensive, and aligned with business goals. Agile ceremonies: Attend all product team ceremonies and act as leader of the Software Development Engineers Technical solutioning and feature development / releases: Works with boundary and integration systems to troubleshoot and mitigate any source / destination issues and requirements. Work and support with Business Users and Product Teams on Incident Management/Request Management / Problem Management / Change Management and Knowledge Management. Knowledge of Agile software development process including application of Agile techniques and delivery practices and promoting adoption of Agile methodologies to secure outcome-driven mindset in product teams. Fundamental understanding of Oracle Cloud ERP and areas such as: Oracle API’s, SQL, XML, PLSQL, OTBI / BIP / FRS reports, FBDI, ADFDI, BPM workflows, BI Extract for FTP, Integration and Personalization, Oracle Fusion Data Intelligence (FDI). Understanding of ESS Jobs, OM Extensions, Flex Fields (DFF, EFF, KFF), Lookups, Value sets, and Fusion Apps functional setup manager configurations. Analyze Patches and plan patch deployment activities. Review and prioritize defects impacting customers. Serve as a point-person for product questions and be able to dig deep into problems to help find a solution. Working on market requirements, designing solutions, and assessing technical issues and working on resolutions with Team. Collaborate with other technology teams including internal teams, service provider and vendors. Ensure application service levels are maintained as per agreed standards. Accountable for the deployment of new features including QA, push to production and defect remediation. Ensure code development is in line with the architectural, quality and security standards and best practices. Maintain documentation standards for all software and lead acceptance criteria validation of development work. Ensure product delivery is done to a high standard with high performance across latency and scalability, extensibility, and security. Qualifications: Basic Qualifications: Bachelor’s degree in computer science or engineering. 5+ years of technical analyst experience with Treasury, Banking and / or accounting systems. Experience working collaboratively with business partners to drive outcomes and solve complex technical challenges Excellent interpersonal, written, and verbal communication skills with the ability to understand business requirements and translate them into technical roadmaps. Ability to grasp technical concepts quickly, solid ability to translate technical verbiage into easily understandable language. Solid grasp of the software development lifecycle and Agile development practices Ability to contribute as a hands -on technologist when the need arises (e.g. writing and debugging scripts, setting up GitHub repos, troubleshooting issues with servers and prototypes). Experience applying data to make informed business decisions, and facilitate continuous improvement Positive thinking skills that include creating a safe environment to learn, challenge, accept risk taking and a willingness to be wrong Experienced testing background with a high attention to detail is desirable. Preferred Qualifications: Experience in operational aspects of banking systems as it relates to Oracle ERP. Experience with Kyriba or other Treasury Management systems is a plus. Experience with Power BI is highly preferred. Knowledge of FTP / H2H connections, encryption / decryptions, certificate renewals, Bank / Kyriba / ERP APIs, Swift Protocols Fin / FileAct channels, etc. Experience in connectivity projects and migrations including bank connections and third parties’ integrations to our clients (sftp, API, certificate renewal, encryption…). Understanding of Cash Management, Cash Positioning and Forecasting, Liquidity Management, Payments and Payment Interfaces. Understanding of technical protocols such as TCP/IP, LAN/WAN, SSO, SAML 2.0, API a plus. Strong technical debugging skills Proficiency in SQL, data integration tools, and scripting languages. Experience in Creating and maintaining detailed requirements, technical documentation, including architecture diagrams, configuration guides, and user manuals. Strong analytical skills and the ability to solve complex Business challenges related to lease and financial integration. Excellent communication and stakeholder management skills, with the ability to engage both business and IT teams. Experience working in product-centric organizations and/or product owner certification. Experience with JIRA and Confluence tools. Experience in implementing and managing IT General Controls (ITGC) to ensure SOX compliance. Experience in DevOps, Security and Systems Performance desirable. Understanding of Cloud architecture and Oracle cloud security. Foundational expertise in security: security standards, SSO, SAML, OAUTH, etc. Knowledge of Oracle ERP Cloud Finance modules. Experience with cybersecurity experts to ensure that systems are resilient against cyber threats and comply with relevant regulations and standards is desirable.

Role Description Role Proficiency: Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities Outcomes Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members Measures Of Outcomes Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainings Code Outputs Expected: Code as per design Follow coding standards templates and checklists Review code – for team and peers Documentation Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation r and requirements test cases/results Configure Define and govern configuration management plan Ensure compliance from the team Test Review and create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain Relevance Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications Manage Project Manage delivery of modules and/or manage user stories Manage Defects Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate Create and provide input for effort estimation for projects Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release Execute and monitor release process Design Contribute to creation of design (HLD LLD SAD)/architecture for Applications/Features/Business Components/Data Models Interface With Customer Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos Manage Team Set FAST goals and provide feedback Understand aspirations of team members and provide guidance opportunities etc Ensure team is engaged in project Certifications Take relevant domain/technology certification Skill Examples Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware’s. Strong analytical and problem-solving abilities Knowledge Examples Appropriate software programs / modules Functional and technical designing Programming languages – proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile – Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved Additional Comments Design, build, and maintain robust, reactive REST APIs using Spring WebFlux and Spring Boot Develop and optimize microservices that handle high throughput and low latency Write clean, testable, maintainable code in Java Integrate with MongoDB for CRUD operations, aggregation pipelines, and indexing strategies Apply best practices in API security, versioning, error handling, and documentation Collaborate with front-end developers, DevOps, QA, and product teams Troubleshoot and debug production issues, identify root causes, and deploy fixes quickly Required Skills & Experience: Strong programming experience in Java 17+ Proficiency in Spring Boot, Spring WebFlux, and Spring MVC Solid understanding of Reactive Programming principles Proven experience designing and implementing microservices architecture Hands-on expertise with MongoDB, including schema design and performance tuning Experience with RESTful API design and HTTP fundamentals Working knowledge of build tools like Maven or Gradle Good grasp of CI/CD pipelines and deployment strategies Skills Spring Boot,Spring Webflux,Micro Services

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Company Description: McDonald’s new growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts, we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive Thrus, through McDelivery, dine-in or takeaway. Leading this revolution is McDonald’s Global Technology organization made up of intrapreneurs who get to build really cool tech with scary smart people using the latest innovations like AI, IOT, and edge computing. We do this working along diverse, global teams who are always hungry for a challenge. It’s bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant. Job Description: This opportunity is part of the Global Technology Enterprise Products & Platforms (EPP) Team, focused on Treasury and Tax applications, Kyriba and Vertex, where our vision is to Always be a people led, product centric, forward-thinking & trusted technology partner. The Senior Technical Analyst supports the Technical Product Management leadership in technical / IT related delivery topics (e.g., trade-offs in implementation approaches, tech stack selection) and provides technical guidance for developers / squad members. Manages the output (quality and efficiency) of internal/external squads to ensure they are delivering to the standards required by McD. Participate in roadmap and backlog preparation. Builds and maintains technical process flows and solution architecture diagrams on Product level. Leads acceptance criteria creation and validation of development work. Supports hiring and development of engineers. Will also act as a technical developer to assist the development team. This position reports to the Technical Product Manager. Responsibilities & Accountabilities: Product roadmap and backlog preparation I n partnership with the TPM, participate in roadmap and backlog prioritization, providing technical perspectives towards translating Epic into user stories for the Develop team to work on, as well as backlog refinement processes. Analyze existing business processes, workflows, and systems to identify inefficiencies, bottlenecks, and opportunities for improvement. Build and update documents required as part of the product development lifecycle, in close coordination with product, technical and business teams (business & functional requirements for feature development, functional test scripts, and process documents). Create detailed requirements documents, user stories, use cases, and acceptance criteria to guide the development and implementation of technology solutions. Ensure that requirements are clear, comprehensive, and aligned with business goals. Agile ceremonies: Attend all product team ceremonies and act as leader of the Software Development Engineers Technical solutioning and feature development / releases: Works with boundary and integration systems to troubleshoot and mitigate any source/destination issues and requirements. Work and support with Business Users and Product Teams on Incident Management/Request Management/Problem Management /Change Management and Knowledge Management. Knowledge of Agile software development process including application of Agile techniques and delivery practices and promoting adoption of Agile methodologies to secure outcome-driven mindset in product teams. Fundamental understanding of Oracle Cloud ERP and areas such as: Oracle API’s, SQL, XML, PLSQL, OTBI/ BIP/FRS reports, FBDI, ADFDI, BPM workflows, BI Extract for FTP, Integration and Personalization, Oracle Fusion Data Intelligence (FDI). Understanding of ESS Jobs, OM Extensions, Flex Fields (DFF, EFF, KFF), Lookups, Value sets, and Fusion Apps functional setup manager configurations. Analyze Patches and plan patch deployment activities. Review and prioritize defects impacting customers. Serve as a point-person for product questions and be able to dig deep into problems to help find a solution. Working on market requirements, designing solutions, and assessing technical issues and working on resolutions with Team. Collaborate with other technology teams including internal teams, service provider and vendors. Ensure application service levels are maintained as per agreed standards. Accountable for the deployment of new features including QA, push to production and defect remediation. Ensure code development is in line with the architectural, quality and security standards and best practices. Maintain documentation standards for all software and lead acceptance criteria validation of development work. Ensure product delivery is done to a high standard with high performance across latency and scalability, extensibility, and security. Qualifications: Basic Qualifications: Bachelor’s degree in computer science or engineering. 5+ years of technical analyst experience with Banking and/or Tax systems. Experience working collaboratively with business partners to drive outcomes and solve complex technical challenges Excellent interpersonal, written, and verbal communication skills with the ability to understand business requirements and translate them into technical roadmaps. Ability to grasp technical concepts quickly, solid ability to translate technical verbiage into easily understandable language. Solid grasp of the software development lifecycle and Agile development practices Ability to contribute as a hands -on technologist when the need arises (e.g. writing and debugging scripts, setting up GitHub repos, troubleshooting issues with servers and prototypes). Experience applying data to make informed business decisions, and facilitate continuous improvement Positive thinking skills that include creating a safe environment to learn, challenge, accept risk taking and a willingness to be wrong Experienced testing background with a high attention to detail is desirable. Preferred Qualifications: Experience in operational aspects of banking systems as it relates to Oracle ERP. Experience with Vertex or other tax engines a plus Knowledge of FTP / H2H connections, encryption / decryptions, certificate renewals, Bank / Kyriba / ERP APIs, Swift Protocols Fin / FileAct channels, etc. Experience in connectivity projects and migrations including bank connections and third parties’ integrations to our clients (sftp, API, certificate renewal, encryption…). Understanding of Cash Management, Cash Positioning and Forecasting, Liquidity Management, Payments and Payment Interfaces. Understanding of technical protocols such as TCP / IP, LAN/WAN, SSO, SAML 2.0, API a plus. Strong technical debugging skills Proficiency in SQL, data integration tools, and scripting languages. Experience in Creating and maintaining detailed requirements, technical documentation, including architecture diagrams, configuration guides, and user manuals. Strong analytical skills and the ability to solve complex Business challenges related to lease and financial integration. Excellent communication and stakeholder management skills, with the ability to engage both business and IT teams. Experience working in product-centric organizations and / or product owner certification. Experience with JIRA and Confluence tools. Experience in implementing and managing IT General Controls (ITGC) to ensure SOX compliance. Experience in DevOps, Security and Systems Performance desirable. Understanding of Cloud architecture and Oracle cloud security. Foundational expertise in security: security standards, SSO, SAML, OAUTH, etc. Knowledge of Oracle ERP Cloud Finance modules. Experience with cybersecurity experts to ensure that systems are resilient against cyber threats and comply with relevant regulations and standards is desirable.

Join Nexchar Ventures and Help Decarbonise the Future Nexchar Ventures is a climate‑technology product manufacturer creating scalable carbon‑negative solutions for a sustainable future . We build and operate smart bio‑refineries, IoT‑enabled reactors, and ERP‑driven supply‑chains that convert waste biomass into high‑quality biochar and verified carbon credits. From our growing Gurgaon R&D hub, our 50‑plus team is engineering digital tools that link field‑level sensors with cloud analytics to automate every tonne of CO₂ we remove. We are expanding our engineering organisation and invite mission‑driven developers to shape the tech stack powering climate action. 1️⃣ Python Developer – IoT Systems Why this role matters You will design, build and scale the data pipelines and micro‑services that connect thousands of field sensors to our cloud‑based carbon accounting platform. Expect to work with edge devices, PLCs, and AWS IoT Core while keeping latency low and data integrity high. Key responsibilities Architect and develop REST / gRPC micro‑services in Python (Flask or Django) for real‑time device telemetry.(Expertia, ZipRecruiter) Integrate industrial protocols MQTT and Modbus for bidirectional control of bio‑reactors and smart meters.(HiveMQ, HiveMQ) Implement device provisioning, over‑the‑air updates and secure certificate management. Optimise data ingestion, storage and alerting pipelines on AWS IoT + Kinesis / Timestream. Collaborate with hardware engineers to validate sensor accuracy, uptime and fault tolerance.(Medium, Apix Drive) Write unit / integration tests and participate in code reviews; champion DevOps‑as‑code (Docker, GitHub Actions). Qualifications 3–5 years of professional Python development with production deployments on Flask or Django.(Expertia) Hands‑on experience building IoT solutions with MQTT brokers, Modbus RTU/TCP, or similar industrial comms.(arXiv) Familiarity with sensor interfaces (RS‑485, SPI, I²C) and edge compute platforms (Raspberry Pi, ESP32, Jetson). Working knowledge of cloud services (AWS IoT, Azure IoT Hub or GCP IoT Core) and CI/CD pipelines. Bonus: exposure to time‑series databases, Grafana, or predictive maintenance models. 2️⃣ ERPNext / Frappe Developer Why this role matters Nexchar’s entire carbon value‑chain—procurement, production, credit issuance and franchise ops—runs on ERPNext . You will extend our multi‑tenant ERP, automate complex workflows and build APIs that tie factory data to finance, ESG and marketplace portals. Key responsibilities Customize and maintain ERPNext modules (Manufacturing, Stock, Accounts) using Frappe Framework hooks and client scripts.(Frappe Forum, Frappe) Design DocTypes, dashboards and print formats; keep changes inside custom apps for clean upgrades.(Frappe Forum, Frappe Forum) Build REST/GraphQL endpoints to integrate IoT telemetry, blockchain registries and third‑party payment gateways. Implement role‑based permissions, automated approvals and BPMN‑style workflows to ensure auditability.(Frappe Documentation, Frappe Forum) Optimise database queries, caching and asynchronous jobs (RQ / Celery) for multi‑country scale. Create test suites and migration scripts; participate in peer reviews and DevOps releases with Bench. Qualifications 3–5 years developing on ERPNext v13+ / Frappe v13+ with live production roll‑outs.(Frappe Forum) Strong Python (OOP, type‑hints) plus JavaScript skills for front‑end scripting. Proven experience in API integrations (REST, Webhooks) and third‑party auth (OAuth 2.0, JWT). Solid grounding in SQL (MariaDB / PostgreSQL), data modelling and performance tuning. Bonus: exposure to Helm / Kubernetes, Redis and automated testing frameworks (PyTest, Playwright). What we offer Mission with impact – measure your code’s contribution in tonnes of CO₂ removed. Cutting‑edge stack – IoT edge + cloud, blockchain MRV, and low‑code ERP custom apps. Growth & autonomy – join a flat, engineering‑led culture that encourages experimentation. Competitive package – salary, ESOPs, learning stipend and on site work (Gurgaon campus). How to apply Send your resume, GitHub profile (or sample Frappe app) and a short note on why climate tech excites you to career@nexcharventures.com Help us engineer the next gigaton of carbon removal—one commit at a time. 🌱💡

Job Description: MLOps & AI Infrastructure Engineer Company: Credartha Location: Vapi, Gujarat Position Type: Full-Time About Calaxis by Credartha : The Future of AI is Built on Trust The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets. Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical. What You Will Do: Architect the AI Flywheel: Design and build the end-to-end MLOps infrastructure for our entire platform. This includes creating automated pipelines for training, validation, deployment, and the crucial feedback loop that makes our system self-improving. Build a Multi-Tenant PaaS: Engineer a scalable, secure, and efficient multi-tenant architecture on AWS to support our customer-facing services. This includes managing on-demand compute for customer-driven fine-tuning (SFT & RL) and model deployment jobs. Automate Everything (CI/CD/CT): Implement and manage a sophisticated CI/CD/CT (Continuous Integration/Continuous Deployment/Continuous Training) system for our suite of AI models and backend services, ensuring rapid and reliable updates. Optimize LLM Serving: Deploy and manage high-throughput, low-latency model serving infrastructure for our internal AI validators and for customer-deployed models. Master GPU Resources: Develop and manage systems for efficient scheduling, allocation, and monitoring of GPU resources across multiple training and inference workloads. Ensure Production-Grade Reliability: Implement comprehensive monitoring, logging, and alerting for the entire platform using tools like AWS CloudWatch to ensure high availability and performance. Champion Infrastructure as Code (IaC): Use tools like Terraform or AWS CloudFormation to define and manage our infrastructure, ensuring it is version-controlled, repeatable, and scalable. Who You Are: The Expert We Need Required Qualifications: 5+ years of professional experience in a DevOps, SRE, or MLOps role, with a proven track record of building and managing production infrastructure for scalable applications. Deep expertise in cloud services, particularly AWS (e.g., EC2, S3, EKS/ECS, Lambda, RDS, API Gateway). Strong, hands-on experience with containerization (Docker) and container orchestration (Kubernetes). Proven experience designing and implementing CI/CD pipelines for complex applications (e.g., Jenkins, GitLab CI, AWS CodePipeline). Proficiency in scripting and automation, with strong skills in Python. A deep understanding of networking, security, and infrastructure best practices. Preferred Qualifications (Bonus Points): Direct experience building MLOps pipelines for training and deploying Large Language Models (LLMs). Familiarity with LLM-specific serving frameworks (e.g., vLLM, Text Generation Inference, Triton). Experience with ML platforms and tools like Kubeflow, MLflow, or Airflow. Experience building infrastructure for multi-tenant SaaS or PaaS products. Knowledge of advanced fine-tuning techniques like Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) and their infrastructure requirements. AWS certifications (e.g., DevOps Engineer, Solutions Architect). Why Join Credartha? Build from the Ground Up: This is a rare greenfield opportunity to be the founding infrastructure architect for a deep-tech company. Your design choices will have a lasting impact on the entire platform. Solve Mission-Critical Challenges: You will be working on complex, interesting problems at the intersection of distributed systems, cloud infrastructure, and cutting-edge AI. Massive Impact and Ownership: You won't be maintaining legacy systems. You will have unparalleled ownership and the opportunity to build the operational foundation of a platform poised to disrupt a $15 trillion market. A Culture of Excellence: Join a passionate founding team that values technical rigor, innovation, and collaboration. Competitive Compensation: We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions. If you are a world-class infrastructure engineer who is excited by the challenge of building the engine for the future of AI, we want to hear from you. How to Apply: Please submit your resume and a brief cover letter or message highlighting your experience building scalable, production-grade infrastructure and why you are excited about the mission at Calaxis.

MyOperator is India’s leading cloud-based business communication platform, trusted by 40,000+businesses. We offer cloud telephony and WhatsApp API solutions to streamline customer communication through IVR, call tracking, recording, and virtual numbers, making business interactions more efficient and scalable. Role Overview: We’re looking for a hands-on, technically fluent Customer Support Team Lead who is passionate about solving problems, leading high-performance teams, and delivering exceptional customer experiences. This role is ideal for someone who thrives in a fast-paced B2B SaaS environment and brings deep expertise in cloud telephony, WhatsApp Business APIs, and Zoho CRM.You will act as a player-coach, guiding and mentoring your team while jumping into complex cases yourself when needed. As a key leader in our support organization, you'll work cross-functionally with Product, Engineering, and Customer Success to ensure every customer issue is not just resolved—but understood, documented, and prevented in the future. Responsibilities: Team Leadership & Development Lead, mentor, and coach a team of support executives to exceed individual and team KPIs. Conduct performance reviews, provide actionable feedback, and identify training needs. Manage shift schedules, workloads, and high-priority escalations to ensure SLAs are met. Foster a culture of accountability, ownership, and continuous improvement. Customer Experience & Escalation Management Handle escalated customer issues, ensuring quick and accurate resolutions. Monitor support quality across channels and implement measures to improve CSAT and NPS. Proactively identify trends and systemic issues; drive cross-functional resolutions. Zoho CRM & Operational Management Oversee support operations via Zoho CRM and Zoho Desk, including ticket queues, live chat, and call support. Create and manage dashboards, workflows, automations, and custom reports to improve efficiency. Track KPIs such as FCR, AHT, SLA adherence, and CSAT. Technical Troubleshooting & Escalation Serve as the primary point for complex issues related to: Cloud Telephony: IVR setups, SIP issues, jitter/latency, call routing, CTI configurations. WhatsApp Business API: Message failures, template issues, API integration, webhook errors. Collaborate with the Engineering team for bug diagnosis and resolution. Process Improvement & Knowledge Management Analyze recurring issues, advocate for product fixes, and build preventive workflows. Maintain comprehensive internal and external knowledge bases and documentation. Standardize troubleshooting processes and ensure team-wide knowledge transfer. Cross-Functional Collaboration Partner with Product, Onboarding, and Account Management teams to support seamless implementations and retention. Represent the voice of the customer in product discussions and roadmap planning. Qualifications 3–5+ years in a B2B technical customer support role; preferably within a SaaS, CPaaS, or cloud telephony environment. 1–2+ years in a leadership or supervisory role. Prior experience in VoIP, IVR systems, or business messaging solutions (WhatsApp, SMS) is essential. Proficiency in Zoho CRM and/or Zoho Desk is highly desirable. Strong understanding of cloud telephony (SIP, PBX, CTI, call routing, etc.). Knowledge of WhatsApp Business API including template setup, endpoints, integration, and common errors. Ability to read and interpret API documentation and troubleshoot integration issues. Strong leadership and mentoring capabilities. Excellent verbal and written communication skills. High emotional intelligence and composure under pressure. Analytical mindset with a proactive approach to solving root causes, not just symptoms. Join us at MyOperator and be part of a dynamic team that is transforming the way businesses communicate. We offer competitive compensation, comprehensive benefits, and ample opportunities for growth and career advancement. Apply today and embark on an exciting journey with us! Additional Information Be part of a fast-growing and innovative company that is a leader in the cloud communications industry. A collaborative and supportive work environment that values your contributions. Competitive salary and benefits package. Opportunities for professional growth and career advancement. The chance to make a real impact on our customers and the success of our business

Position Summary... What you'll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What you'll do: As a Senior Data Scientist - ML Engineer, you’ll have the opportunity to: Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning. Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale. Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability. Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines. Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement. Present your team’s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs. What You'll Bring PhD in Computer Science, Statistics, Applied Mathematics or related field with 3+ years’ experience in ML engineering-or Master’s with 6+ years or Bachelor’s with 8+ years. Proven track record of leading and scaling AI/ML products in production environments. Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures. Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch). Demonstrated history of scientific publications or patents in AI/ML. Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2223713

Position Summary... What you'll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What you'll do: As a Senior Data Scientist - ML Engineer, you’ll have the opportunity to: Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning. Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale. Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability. Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines. Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement. Present your team’s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs. What You'll Bring PhD in Computer Science, Statistics, Applied Mathematics or related field with 3+ years’ experience in ML engineering-or Master’s with 6+ years or Bachelor’s with 8+ years. Proven track record of leading and scaling AI/ML products in production environments. Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures. Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch). Demonstrated history of scientific publications or patents in AI/ML. Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2223739

Key Responsibilities: Assist in the Design, development, and implementation of digital signal processing algorithms for audio, communication, and multimedia systems. Work with cross-functional teams to integrate DSP algorithms into embedded systems and hardware platforms. Optimize DSP algorithms for performance, memory usage, and power consumption, ensuring real-time processing on embedded platforms. Collaborate with hardware engineers to develop firmware and software for DSP-based systems. Assist in debugging, testing, and validating DSP algorithms to ensure they meet performance requirements and standards. Assist in analyzing and evaluating signal processing techniques to improve audio quality, noise cancellation, echo reduction, and other features. Assist in developing and maintaining software libraries and tools for DSP applications. Perform signal analysis, including Fourier Transform, filtering, and spectral analysis, using industry-standard tools. Assist in working with customers and end-users to understand application-specific needs and deliver optimal DSP solutions. Stay current with advancements in DSP algorithms, software tools, and hardware platforms. Required Qualifications: Bachelor's in a related field. Proven experience (2+ years) working as a DSP Engineer or in a similar role. knowledge of digital signal processing theory and techniques, including FIR/IIR filters, Fourier Transform, convolution, sampling, and quantization. Experience in implementing DSP algorithms in C/C++ for embedded systems. Familiarity with DSP hardware platforms (e.g., Texas Instruments, Analog Devices, or Qualcomm). Added advantage if Proficient in using DSP development tools, simulators, and software like MATLAB, Simulink, or Python for algorithm development and testing. Understanding of audio codecs, signal compression, and audio algorithms (e.g., AAC, MP3, Dolby, DTS). Good problem-solving and analytical skills. Added advantages if the following are known: Experience with audio or speech processing algorithms (e.g., noise suppression, beamforming, acoustic echo cancellation). Experience in implementing low-latency signal processing for real-time audio systems. Familiarity with Linux and embedded software development environments. Experience with software tools such as Code Composer Studio or similar DSP development environments.

About FedEx: Located in Hyderabad, India, FedEx ACC India serves as a strategic technology division for FedEx that will focus on developing innovative solutions for our customers and team members across the globe. These solutions will enhance productivity, minimize expenses, and update our technology infrastructure to continue providing the outstanding experiences our customers expect. JOB SPECIFIC INFORMATION: Drive improvement initiatives that support the overarching global reliability of the company's systems, including capacity planning, failover strategies, performance improvements, reduction of Mean Time to Awareness/Resolve, and postmortems. Leverage critical thinking to improve best practices and provide enterprise-level recommendations that ensure reliability and resiliency. Future oriented. Drives strategic planning. Mentor those in less senior positions. Perform other duties as assigned. Design, develop and implement enterprise scale reliability solutions to support the organization’s business strategy and goals. Work closely with our architects on an Agile team to fully understand systems and application monitoring, provide feedback, and request clarification as needed. Work with other engineers on a collaborative Agile team to address latency best practices on an ongoing basis. Review reliability requirements and data models and translate into responsible architecture Conduct design and code reviews with extended team to ensure that reliability code meets FedEx Enterprise Foundational Services standards Track and resolve performance bottlenecks Standardization of logs across applications ensuring that only the required information to support the application is produced for new and existing applications Applicant must work well under pressure Stake holder management in India and US time Skills / Knowledge Considered a Plus: Experience developing in the following languages: PHP, Java, JavaScript and SQL Experience with Relational Databases like Oracle and MySQL Experience using Monitoring Tools like VisualVM, Splunk, AppDynamics and New Relic Strong Knowledge of the Linux Operating System Understanding of Cloud Architectures - IaaS vs PaaS vs SaaS Understanding of software architecture and design patterns - Monolithic vs Microservices Practitioner of SAFe (Scaled Agile Framework) or other Agile methodologies Experience with the GitHub and Jenkins CICD Platforms Experience using Spring Frameworks like Spring Boot, Spring Cloud and Spring Data JPA Familiarity with networking concepts and best practices Understanding of the 12-Factor App and associated principles Automation experience like testing and deploying production applications Knowledge of the API First Philosophy Minimum Qualifications: Bachelor’s degree in computer science, engineering, information systems, business, and/or equivalent formal training or work experience. 10+ years of work experience in an information technology or engineering environment. A related advanced degree may offset the related experience requirement.

Experience: 5+ years Key Responsibilities: Analyze, measure, and optimize system performance across the full Linux stack—kernel, drivers, user-space services, and applications. Profile CPU, memory, I/O, GPU, and power usage to identify performance bottlenecks and inefficiencies. Develop and deploy performance monitoring and tracing tools (e.g., perf, ftrace, eBPF, systemtap, trace-cmd, BPFtrace). Work closely with kernel, power, graphics, boot, and user-space teams to tune and enhance system responsiveness and throughput. Optimize boot time, application launch latency, and system suspend/resume cycles for better end-user experience. Tune scheduler, interrupt handling, memory management, and I/O subsystems for target hardware platforms. Validate performance under various workloads (interactive, background, thermal stress) and ensure consistent behavior. Collaborate with hardware and firmware teams to align software performance with platform power and thermal constraints. Automate performance regression testing and define KPIs to track across software releases. Investigate and resolve thermal throttling, CPU/GPU frequency scaling, and battery drain issues in coordination with power and thermal teams. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 5+ years of experience in Linux performance analysis and tuning on embedded or consumer platforms. Deep knowledge of Linux internals: process scheduling, memory management, NUMA, file systems, block devices, I/O stack, etc. Strong proficiency with performance tools: perf, top, htop, vmstat, iotop, powertop, ftrace, strace, systemtap, LTTng, eBPF, systemd-analyze, bootchart, blktrace, oprofile Experience with power-performance tuning frameworks such as CPUFreq, devfreq, cpuidle, and thermal frameworks. Familiar with kernel tuning interfaces: /proc, /sys, cgroups, udev, sysctl. Exposure to firmware/BIOS tuning and UEFI power settings. Skilled in C, Python, and shell scripting for automation and data processing. Experience in benchmarking tools and workloads: Phoronix Test Suite, stress-ng, sysbench, fio, glmark2, etc. Familiarity with hardware power domains, DVFS, thermal zones, and SoC power/thermal models is a plus. Experience with Yocto, Debian, or Ubuntu-based OS stacks and optimizing them for consumer-grade hardware (Intel/AMD/ARM).

TransUnion's Job Applicant Privacy Notice What We'll Bring This role is for a Lead Engineer that will operate as a member on the core teams of specialists that are responsible for enabling new features and optimizing strategic solutions within TransUnion’s Digital Onboarding (DO), TVIS and Fraud Prevention Exchange. What You'll Bring As a lead member on our agile scrum teams, you will have both the accountability and freedom to ensure the quality of the systems that are taking TransUnion and DO to the next level. Success in this role requires a blend of skills in multi-disciplinary software testing functions relating to the health, performance, security and quality of systems, and leadership. How You’ll Contribute Works closely with agile team members and regional team to clarify requirements, ensure testability and automatability, to provide feedback on design (functional and technical) Contributes to impact assessments from Feature enhancements on system level interactions, and existing automated test suites Conducts Test Design, Test planning, Test automation development, and Test execution Writes automated tests for high availability and highly scalable applications which will be used by both internal and external customers Conducts Manual Testing, and uses strong Exploratory Testing to uncover weaknesses in test approaches Identifies opportunities for reuse so as to design and implement test automation libraries Provides guidance and mentorship to Scrum team members to assist them in developing robust Unit Test and regression test suites May conduct performance and scalability testing Responsibilities include doing test case review / bug analysis, analyzing development and test impacts, writing test tools and identifying automation opportunities Contributes to improvements in unit testing coverage, design test framework, develop test suites, expand automated testing harness and automate scenarios/cases Provide training and knowledge transfer on DO features with Subject Matter Expertise of Digital Onboarding, FPE, Global IDV and eventually TVIS Impact You'll Make What You’ll Bring Six or more years of hands-on experience in a software quality assurance profession Strong experience in various phases of testing, designing, and developing complex enterprise applications, including automation test development Experience with GitHub, Source Tree, Microsoft Test Manager, and Jenkins Experience with SQL server Experience in implementing test automation libraries Experience with High-Volume , Low Latency transaction systems Strong experience managing a team operating under an Agile Scrum delivery methodology, any certifications are preferred. Experience with Decisioning software development is preferred. Experience with Mobile app development is preferred. Experience working in onshore & offshore model is preferred. Excellent analytical skills and the ability to provide alternative solutions to technical problems Strong written and verbal communication skills Excellent leadership skills This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Lead Engineer, Applications Development

Gen AI Lead Engineer JD (5-8 years) Job Description We are seeking a hands-on and forward-thinking Gen AI Lead Engineer with 5-8 years of experience to lead the development of cutting-edge GenAI solutions. You'll work on taking modern large language models (LLMs) from prototype to production, orchestrating multi-agent workflows using advanced frameworks like LlamaIndex Workflows , LangGraph , and structured function calling. An ideal candidate has a strong foundation in classical ML (e.g., XGBoost), deep learning with transformer-based architectures (such as LLaMA and Qwen-family models ), and hands-on experience building Retrieval-Augmented Generation (RAG) pipelines. This role is perfect for someone who thrives at the intersection of research, engineering, and real-world application—owning everything from system design to scalable deployment. Key Responsibilities Design, build, and deploy ML/DL models for: Tabular data (e.g., XGBoost) NLP and GenAI (e.g., RAG, tool/function calling) Fine-tune and serve LLMs using Hugging Face , PyTorch , and efficient-tuning techniques like LoRA , QLoRA , and PEFT . Architect and implement agent-based LLM solutions with tools like LlamaIndex , LangGraph , or LangChain Agents . Design multi-step tool-calling workflows and structured function-calling strategies for complex tasks. Orchestrate agent memory, state management, and contextual conversations. Develop and maintain FastAPI microservices for low-latency GenAI inference, streaming, and secure system integration. Deploy ML pipelines and training jobs in the cloud (preferably Azure , also AWS ). Handle end-to-end MLOps: CI/CD, containerization (Docker), GPU/ACI deployment, observability, and cost governance. Collaborate cross-functionally with product, data, and frontend teams to translate abstract ideas into tangible outcomes. Required Skills & Qualifications Strong Python programming skills; experience with FastAPI and/or Java is a plus. Proven experience with: XGBoost or similar ML models for tabular data. YOLO , OCR , and PyTorch for vision and text extraction tasks. Deep knowledge in NLP / GenAI: LLM fine-tuning, prompt engineering, and RAG design. Proficiency with Hugging Face Transformers , PEFT , and vector databases. Implementation of agent frameworks like LlamaIndex , LangGraph , or LangChain Agents . MLOps & Deployment: Experience with Docker, CI/CD pipelines, experiment tracking, model versioning, and rollback mechanisms. Cloud Proficiency: Azure ML , Azure Functions, AKS (preferred) or AWS SageMaker , Lambda. Bonus : experience with Triton / vLLM, streaming websockets, or GPU cost-optimization. Benefits of Working with Us: Best of Both Worlds: Enjoy the enthusiasm and learning curve of a startup combined with the deliveries and performance of an enterprise service provider. Flexible Working Hours: We offer a delivery-oriented approach with flexible working hours to help you maintain a healthy work-life balance. Limitless Growth Opportunities: The sky is not the limit when it comes to learning, growth, and sharing ideas. We encourage continuous learning and personal development. Flat Organizational Structure: We don't follow the typical corporate hierarchy ladder, fostering an open and collaborative work environment where everyone's voice is heard. As part of our dedication to an inclusive and diverse workforce, TechChefz Digital is committed to Equal Employment Opportunity without regard to race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. If you need assistance, you may contact us at joinus@techchefz.com

We are hiring Python Developer wit AI Key Responsibilities: ● Utilize Python to build and sustain software applications with a strong focus on AI and machine learning. ● Ensure performance, usability, and scalability in AI applications by leveraging advanced Python techniques. ● Identify and resolve issues to maintain low latency and high availability in AI systems. ● Participate in and conduct code reviews, providing constructive feedback on software design and architecture. ● Work with cross-functional teams to define project requirements and scope, ensuring alignment with AI objectives. ● Apply your expertise in AI libraries and frameworks like langchain, openai, llamaIndex, Pandas, Numpy, or similar tools. ● Work with Large Language Models such as GPT-4, Llama and Vector databases like Pinecone, chromadb, FAISS. ● Integrate Python applications with databases, ensuring efficient data storage and retrieval. ● Utilize Amazon Web Services (AWS) for deploying and managing cloud-based AI applications. ● Utilize robust analytical and problem-solving abilities to tackle complex AI challenges. ● Exhibit excellent communication and teamwork skills to collaborate effectively within the team and with stakeholders Key Requirements: ● Degree in Computer Science, Engineering, or a related field. ● Minimum 6 years of relevant experience is a must. ● Proven experience as a Python Developer, with a focus on AI and machine learning projects. ● Strong knowledge of Django, Flask, or similar Python frameworks, with an emphasis on AI integration. ● Proficient in integrating Python applications with databases. ● Experience with Amazon Web Services (AWS) for cloud-based solutions. ● Familiarity with large language model (LLM) frameworks for AI development. ● Familiarity in concepts such as data chunking, embedding, and various similarity search approaches like cosine similarity.

Overview We are looking for a hybrid AI Platform Engineer to lead the design of high-performance prompts and the development of custom AI agents and integrations across our internal platforms. Collaborating closely with our AI Platform Manager and functional business units, this role bridges the creative precision of prompt engineering with the technical fluency required to build and deploy powerful LLM-based tools using APIs, system integrations, and emerging AI infrastructure. Key Responsibilities Prompt Engineering & Optimization Design, test, and refine prompts for general and use-case-specific applications. Evaluate and improve LLM output quality based on accuracy, latency, hallucination, and user satisfaction. Maintain a scalable prompt library with robust documentation and experimentation tracking. Custom Agent & GPT Development Build and maintain custom GPTs (via OpenAI) or Google Agents (Gemini, Vertex AI). Configure tools, memory, system prompts, and API-calling capabilities for agent workflows. Ensure agents follow internal data governance and compliance policies. API & Platform Integration Integrate LLM functionality into internal systems (e.g., dashboards, Slack, CRMs, internal portals). Work with APIs from OpenAI, Google Cloud, Azure, and others to create functional pipelines. Support rapid prototyping and deployment of AI features in close coordination with product and automation teams. Evaluation & Instrumentation Define key performance metrics (quality, reliability, usage patterns). Collaborate with data engineering to log, analyze, and visualize LLM performance. Implement feedback loops to continuously optimize prompt and agent behavior. Enablement & Documentation Provide tooling and guidance to business users and product teams for prompt-based workflows. Contribute to internal AI playbooks and best practices around prompt usage and API integration. Requirements 1 -3 years of experience in AI/ML, NLP applications, or full-stack product development Hands-on experience with OpenAI APIs, Google Cloud Vertex/Gemini, or similar platforms Strong experience with prompt engineering and LLM evaluation methods Proficiency in Python and working with APIs, JSON, and vector databases Familiarity with LangChain, LlamaIndex, or custom agent frameworks Excellent collaboration and communication skills

We are seeking a skilled and experienced DevOps Engineer with expertise in architecting, implementing, and managing hybrid cloud infrastructure to enable seamless deployment and scaling of high-performance applications and machine learning workloads. Proven experience in cloud services, on-premises systems, container orchestration, automation, and multi-database management. Key Responsibilities & Experience : - Designed, implemented, and managed scalable AWS infrastructure leveraging services such as EC2, ECS, Lambda, S3, DynamoDB, Cognito, SageMaker, Amazon ECR, SES, Route 53, VPC Peering, and Site-to-Site VPN to support secure, high-performance, and resilient cloud environments. - Applied best practices in network security, including firewall configuration, IAM policy management. - Architected and maintained large-scale, multi-database systems integrating PostgreSQL, MongoDB, DynamoDB, and Elasticsearch to support millions of records, low-latency search, and real-time analytics. - Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling automated testing, Docker builds, and seamless deployments to production. - Managed containerized deployments using Docker, and orchestrated services using Amazon ECS for scalable and resilient application environments. - Implemented and maintained IaC frameworks using Terraform, AWS CloudFormation, and Ansible to ensure consistent, repeatable, and scalable infrastructure deployments. - Developed Ansible playbooks to automate system provisioning, OS-level configurations, and application deployments across hybrid environments. - Configured Amazon CloudWatch and Zabbix for proactive monitoring, health checks, and custom alerts to maintain system reliability and uptime. - Administered Linux-based servers, applied system hardening techniques, and maintained OS-level and network security best practices. - Managed SSL/TLS certificates, configured DNS records, and integrated email services using Amazon SES and SMTP tools. - Deployed and managed infrastructure for ML workloads using AWS SageMaker, optimizing model training, hosting, and resource utilization for cost-effective performance. Preferred Qualifications : - 3+ years of experience in DevOps, Cloud Infrastructure - Bachelors degree in Computer Science, Engineering - Experience deploying and managing machine learning models - Hands-on experience managing multi-node Elasticsearch clusters and designing scalable, high-performance search infrastructure. - Experience designing and operating hybrid cloud architectures, integrating on-premises and cloud-based systems Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 3 years (Required) Work Location: In person Speak with the employer +91 8360518086

Job description: Job Description Role Purpose The purpose of this role is to perform the development of VLSI system by defining the various functionalities, architecture, layout and implementation for a client ͏ Do 1. Conduct verification of the module/ IP functionality and provide customer support a. Understand the architecture of the module or the IP and create verification environment and the development plan as per Universal Verification Methodology b. Create test bench development and test case coding of the one or multiple module c. Write the codes or check the code as required d. Execute the test cases and debug the test cases if required e. Conduct functional coverage analysis and document the test cases including failures and debugging procedures on SharePoint/ JIRA or any other platform as directed f. Test the entire IP functionality under regression testing and complete the documentation to publish to client g. Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency h. Write scripts for the IP i. Comply with project plans and industry standards 2. Ensure reporting & documentation for the client a. Ensure weekly, monthly status reports for the clients as per requirements b. Maintain documents and create a repository of all design changes, recommendations etc c. Maintain time-sheets for the clients d. Providing written knowledge transfer/ history of the project ͏ Deliver No. Performance Parameter Measure 1. Verification Timeliness Quality of Code/ Number of defects Customer responsiveness Project documentation (scripts, test cases etc)2. Self-development Skill test for next level clearance on Trend Nxt ͏ ͏ Mandatory Skills: VLSI HVL Verification . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Title: AI/ML Engineer Location: Pune About Us: We are a cutting-edge company focused on delivering transformative AI solutions. Join our team to develop scalable AI architectures and high-performance machine learning models that will have a direct impact on our products. Key Responsibilities: AI Architecture Design: Create scalable AI systems to support various applications with high efficiency and real-time data processing. Model Development: Build and optimize machine learning models, focusing on performance and accuracy. Collaboration: Work with product, engineering, and data science teams to integrate AI solutions effectively. Performance Monitoring: Track model performance, address issues, and retrain models as needed to ensure optimal performance. Data Infrastructure: Design data pipelines for efficient collection, processing, and storage of large datasets. Required Qualifications: Experience: 1+ years in AI/ML engineering, with expertise in model development and deployment. Technical Skills: Proficient in Python, TensorFlow, PyTorch, and data engineering tools (AWS, Hadoop, Spark). Machine Learning Expertise: Strong understanding of machine learning algorithms, deep learning, and optimization techniques. Scalability: Experience with deploying models in scalable, real-time environments using cloud infrastructure (AWS, Google Cloud). Communication: Ability to explain complex AI concepts to cross-functional teams. Preferred Qualifications: B achelor's degree : AI, Machine Learning, or related field. Real-Time AI Experience: Experience deploying AI models in high-latency, real-time applications. Gaming/Interactive AI: Familiarity with AI applications in gaming or interactive environments. Why Join Us? Work with cutting-edge AI technologies. Collaborate with a talented and innovative team. Competitive salary and growth opportunities. To Apply: Submit your resume and cover letter detailing your experience with AI/ML architecture and model development. We look forward to hearing from you!

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turnkey AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : IoT Firmware Engineer Experience : 5+ years Work Mode : Hybrid Location : Pune Notice Period : Immediate – 15 Days(Serving) Job Summary Does bringing modern technologies into new domains interest you? Or making measurable and consistent improvement available to your customers? Or being able to help lead new initiatives from the ground up? If yes, we'd love to hear from you! We're looking for an experienced engineer to help us build hardware and software solutions that help our customers reduce waste, improve quality, and gain greater control over their businesses. This role involves significant hands-on R&D work in our lab, collaborating closely with mechanical engineers, product managers, and other stakeholders to develop cutting-edge IoT solutions from concept to production. Knowledge And Skill Requirements Bachelor's degree in Computer Science preferred, or equivalent practical experience. Electrical engineering background is a plus. 4+ years of experience in embedded software development and firmware programming Strong proficiency in C++ firmware development, particularly on ESP32 microcontrollers using the arduino-esp32 framework Experience maintaining and managing production fleets of IoT devices, including remote monitoring, diagnostics, and over-the-air (OTA) updates Deep understanding of IoT communication protocols, especially MQTT and Bluetooth Low Energy (BLE) Experience with Azure IoT for device management and telemetry (AWS IoT or similar platforms a plus) Experience integrating sensors, servos, and other peripherals in embedded systems Experience with communication protocol interfaces such as I2C, SPI, UART, MODBUS, CAN Strong firmware debugging and system integration capabilities Ability to work with hardware documentation and component datasheets Familiarity with debugging tools including oscilloscopes and logic analyzers helpful but not required Strong hands-on prototyping and R&D skills with embedded hardware, with experience working collaboratively in lab environments Experience with real-time operating systems (RTOS) and power management for battery-operated devices Experience with wireless communication debugging and optimization Enjoy tinkering and experimenting in areas outside of your core competencies Comfortable with Git, GitHub, and CI/CD practices for embedded development Job Responsibilities TECHNICAL Developing robust C++ firmware for ESP32-based IoT devices using the arduino-esp32 framework Managing and maintaining production fleets of IoT devices, including remote diagnostics, fleet monitoring, and coordinating OTA firmware updates Implementing and optimizing IoT communication protocols, particularly MQTT for cloud connectivity and BLE for local device interactions Delivering reliable hardware and software solutions to fielded devices Collaborating to make the best technology stack choices for embedded systems Leveraging cloud services to develop modern, reliable, low-latency systems for device management and telemetry processing Working with product and engineering leaders to define deliverable solutions for customers Owning the entire embedded hardware development lifecycle: from planning and design, to implementation and testing, followed by deployment and maintenance Troubleshooting and resolving field issues with deployed IoT devices Various other duties as assigned Skills: can,wireless communication debugging,esp32,hardware documentation,power management,real-time operating systems,ci/cd practices,uart,modbus,iot device management,arduino-esp32 framework,protocol interfaces,real-time operating systems (rtos),firmware debugging,telemetry,git,iot communication protocols,iot,firmware programming,bluetooth low energy (ble),azure iot,advanced prototyping techniques,c++,mqtt,github,spi,embedded software development,i2c