Senior Software Development Engineer Ibm Jobs

JOB ROLE : SENIOR MANAGER, SOFTWARE ENGINEERING Location: Hyderabad, India (Hybrid) Department: Product Development ABOUT GHX GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the world's largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate processes, reduce costs, and increase operational efficiency. GHX continues to innovate with intelligent automation and AI-driven capabilities across its product portfolio. ABOUT THE ROLE GHX is seeking a Senior Engineering Manager to lead a multi-disciplinary engineering team that powers intelligent, AI-augmented automation across multiple product lines with document understanding — extracting structured meaning from unstructured documents and data — as one of its core technical problems. This team spans three areas: a platform engineering team (AI, DevOps, Infra, architecture, business continuity, security etc.), a set of product-line delivery teams (each building product-specific business logic, validation, and integrations), and a team building the Human-in-the-Loop (HiTL) application along with reporting/analytics capabilities. You will lead through team leads or senior engineers rather than running delivery for a single team directly. You will set technical direction for shared platform capabilities that every product-line team depends on, while ensuring each product line independently meets its own functionality, quality, and delivery commitments. You will work directly with business, product, and operations stakeholders across every product line this platform serves, and you will own end-to-end outcomes: people, technical direction, and customer impact across the full teams. RESPONSIBILITIES Organizational & Engineering Leadership: • Lead and develop a multi-disciplinary team spanning platform engineering, pro

Opportunity Overview: We are seeking a Senior Manager, Data Platform Engineering to lead a critical part of Cohere Health’s Data Platform team as we continue scaling our technology, engineering practices, and client delivery capabilities.This role combines people leadership, technical judgment, and strong execution ownership to build a high-performing engineering team and drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You’ll partner closely with Product, Engineering, Architecture, Client Delivery, and business stakeholders to build a scalable, trusted data foundation that supports Cohere’s continued growth. What you’ll do: Lead, coach, and develop a high-performing Data Platform engineering team through clear expectations, regular feedback, career development, performance management, and strong engineering leadership. Own execution across complex data initiatives, translating priorities into credible delivery plans with clear scope, milestones, owners, dependencies, capacity assumptions, risks, decisions, and target dates. Maintain accountability through delivery and proactively adjust plans when scope, capacity, dependencies, or technical complexity change. Establish strong delivery discipline by ensuring work is sufficiently defined, technically understood, estimated, sequenced, and ready before commitment; proactively address blockers, dependencies, scope changes, and capacity constraints, with clear mitigation and early escalation when commitments are at risk. Maintain sufficient technical depth to independently assess delivery and implementation risk, while partnering closely with Staff Engineers and other technical leaders to validate architecture, implementation approaches, estimates, technical readiness, root causes, and quality before key decisions or commitments are made. Build trusted cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and oth

Role Description: We are seeking an experienced Product Engineering Manager. You will play a critical role in managing and developing airgap-native software and ensuring it integrates seamlessly with UDS to Accelerate the ATO. You will oversee the development of innovative solutions that meet customer needs and drive the success of our products in National Defense. This role requires a blend of technical expertise, leadership, and will need a deep understanding of modern software systems. You will be responsible for guiding a team of talented engineers, fostering a culture of continuous improvement, and delivering high-quality, scalable, and secure products. Collaboration with cross-functional teams, including Product, Growth, and Delivery, is essential to ensure alignment with our company roadmap and customer requirements. Responsibilities: Lead, inspire, and manage a team of engineers dedicated to developing and maintaining UDS-compatible applications. Own the team's deliverables, ensuring the timely delivery of scalable, highly-available products that exceed customer expectations. Collaborate with cross-functional teams to prioritize and manage engineering roadmaps in alignment with Product objectives. Instill a spirit of continuous improvement in code quality, architecture, and processes, driving innovation and efficiency. Mentor and guide the professional and technical development of team members, helping them advance their careers and achieve their goals. Facilitate communication among clients/customers and engineers, ensuring clear understanding of specifications, budgets, and deadlines. Stay abreast of new trends, developments, and technologies to continually improve product lines and production efficiency. Travel Expectations/Requirements: 10-25% The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt a

Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Senior Data Scientist to join a verification and validation team that evaluates safety-critical AI systems. You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects. In this role, you will: Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability. Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures. Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions. Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies. Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation. Scale Pipelines

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We're building the data foundation that makes advertising on Roblox possible. As a Senior Engineering Manager you'll lead a team of engineers building the systems that turn raw signal into trustworthy, privacy-safe, actionable data across five connected domains: core data infrastructure, identity, measurement, audience targeting, and feature engineering for ML. This is a hands-on leadership role at the center of our monetization strategy. Your team's work determines whether advertisers can reach the right audiences, prove positive ROI, and trust the numbers we report, all while upholding the privacy and safety standards our platform is known for. You'll set technical direction, grow a high-performing team, and partner closely with product, data science, privacy/legal, and the broader Ads organization. You Will Build and lead a team of high-caliber software engineers. You'll be responsible for hiring, performance management, career development, and fostering an inclusive, high-output team culture. Set and communicate a multi-quarter technical roadmap across core data, identity, measurement, targeting, and the ML feature platform, and make the prioritization and buy-vs-build calls that

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary This role is mainly working on the design and mass production of our IoT product lines. You will own end-to-end hardware development — board-level design, low-power optimization, certification, and EMS/ODM coordination. You will work with firmware, mechanical, QA, and PM teams, as well as manufacturing partners, to bring products from concept to volume production. Responsibilities (What he/she will do after joining UI) - Lead the hardware design of IoT series devices from concept through mass production. - Define power architecture and conduct battery life estimation for primary lithium (CR series) and rechargeable Li-ion applications. - Integrate wireless connectivity solutions (BLE, Zigbee, Wi-Fi, or Sub-GHz) into product designs, including SI and antenna tuning. Requirement (Must-Haves) - Bachelor’s degree in Electrical Engineering, Electronics, or a related field. - 10–15 years of hands-on hardware design experience in consumer electronics or IoT products. - Hands-on EMC / ESD debug experience, with the ability to lead products through certification independently. - IoT Sensor Design : Proven track record designing PIR, door/window contact, temperature/humidity, or motion detection modules for IoT applications. Preferred Qualifications - Experience with multi-region regulatory certifications (US, EU, etc.). - Str

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a Camera Hardware Engineer who will take ownership of camera system design, validation, and optimization for UI’s product lines. This role involves designing high-speed, high-reliability hardware, performing bring-up and debugging, and collaborating with global cross-functional teams to ensure the best product quality and performance. You will have the opportunity to work on cutting-edge SoC and image sensor platforms, contribute to the next generation of IP and wireless cameras, and be part of a team that values innovation, simplicity, and impact. Responsibilities Design and develop camera hardware systems, including schematic design, component selection, and PCB layout review. Perform high-speed signal design and analysis, ensuring proper impedance control and EMI/ESD compliance. Conduct hardware bring-up, debugging, and system validation using lab instruments (oscilloscope, logic analyzer, TDR, network analyzer, etc.). Collaborate with firmware, mechanical, and manufacturing teams on system integration, tuning, and production readiness. Drive DFM/DFT improvements and support prototype builds, EVT/DVT validation, and root-cause analysis. Evaluate new image sensors, ISPs, and SoC platforms for upcoming product designs. Maintain detailed hardware documentation, BOMs, test reports, and validation re

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues an

Citi's Investor Services Technology group is seeking an exceptional Software Engineer to join as a hands-on technical leader building the Investor Services Workbench (ISW) — Citi's unified platform for client onboarding, lifecycle management, operational workflow orchestration, and real-time business activity visibility across Custody, Fund Services, and Securities Finance. This is an E ngineering role first . The right candidate uses AI-assisted development tools to write production ready code and ships features on a continuous cadence. You will be embedded within ISW delivery squads, contributing directly to backend services, workflow engines, API layers, and client-facing features, while also serving as a domain authority who ensures the platform is built on a sound understanding of Custody and Fund Services operations. You will collaborate closely with product owners, UX engineers, data architects, and operations SMEs. Your code, your reviews, and your domain knowledge will directly shape how institutional clients and Citi operations teams experience the Workbench. Responsibilities: Hands-On Feature Delivery Design, develop, test, and ship production-quality features across the ISW backend (Java/Spring Boot) and frontend (React/TypeScript) — contributing to every sprint with meaningful, reviewed, merged code. AI-Augmented Development Use AI pair-programming tools (GitHub Copilot, Cursor, Claude) as a first-class part of your daily workflow — for code generation, test synthesis, refactoring, documentation, and API design acceleration. Champion adoption across squads. Domain Translation Apply deep Custody and Fund Services domain knowledge to translate business requirements into technically precise, implementation-ready specifications —

Senior React Native Mobile and Full Stack Developer Description - We are seeking a highly skilled Senior React Native Mobile and Full Stack Developer to design, develop, and maintain secure, scalable, enterprise-grade mobile applications for iOS and Android , as well as the cloud services and APIs that support them. The ideal candidate brings extensive experience building production-ready cross-platform mobile applications with React Native , combined with strong backend and cloud development expertise using object-oriented programming languages such as C#, Java, Python, or Go to deliver secure, end-to-end solutions. This role requires deep expertise in mobile authentication , secure storage , offline-first architecture , data synchronization , push notifications , GPS/location services , and mobile security best practices , as well as experience designing and developing RESTful APIs , integrating with cloud platforms such as Microsoft Azure, or AWS , and building scalable backend services. You will work closely with Product Managers, UX Designers, Security Architects, Backend Engineers, and QA teams to deliver high-quality, mission-critical mobile solutions used by enterprise customers worldwide. The ideal candidate is a hands-on specialist who is passionate about building high-quality software, driving architectural decisions, mentoring engineers, and delivering reliable, secure, and performant mobile experiences across the full technology stack. Key Responsibilities Design, develop, and maintain secure, scalable, and high-performance cross-platform mobile applications using React Native for both iOS and Android . Design, develop, and maintain backend APIs , cloud services, and supporting infrastructure that

As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compl

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni