1606 Distribution System Jobs - Page 4

We are looking for a dynamic and motivated Quality Assurance Engineer (QAE) to join the Amazon Payment Services team. As a Quality Assurance Engineer on Amazon Payment Services (APS) Team, you will collaborate with developers and product managers to identify unambiguous software requirements, understand all features and their implementation details. Understand customer usage models and then develop and execute strategies to get that software into our customers hands in an efficient and high-quality fashion. Preferred candidate possesses a high level of coding aptitude combined with a demonstrated passion for Quality Assurance. QAEs test features both manually and with automated tools. Our QAEs are not just black box testers they understand the software internals, debug problems using log files, and write automated tests using a variety of frameworks. QAE will also define and implement quality gates for code changes and deliver on the promise that users experience will be continually maintained or improved. QAE will develop high-quality test automation to drive lower operational costs and faster deployments. QAE is expected to possess superior verbal and written communication skills, strong organizational skills, able to juggle multiple tasks at once and solve complex problems independently. If you think youve got what it takes, apply today! We look forward to talking with you. Design and build the automated test frameworks and test suites for use in development and testing cycles Utilize innovative test technologies to develop a products test automation strategy and relevant tools to Improve test efficiency Participating in design and code inspections and influence quality across various stages of SDLC Works on test frameworks, test tools, and test case automation for large components, applications, device software, or services, etc. Analyze test logs; create test automation reports, co-ordinate with stakeholders. About the team Amazon Payments Services (APS) processes millions of transactions every day across numerous countries and payment methods. Over 100 million customers and merchants send tens of billions of dollars moving at light-speed through our systems annually. We build systems that process payments at an unprecedented scale, with accuracy, speed, and mission-critical availability. We innovate to improve customer experience across the globe, with support for currency choice, in-store payments, pay on delivery, credit and debit payments, seller disbursements, gift cards, and many new exciting and challenging ideas are in the works. If you are excited about the opportunity to learn and work on large scale distributed systems, enjoy trouble shooting and solving complex problems, consider this opportunity. Come challenge yourself in our team-oriented atmosphere, and watch yourself grow with one of the fastest growing areas of the Amazon e-commerce. 4+ years of quality assurance engineering experience Experience in automation testing Experience in manual testing Experience as QA lead on medium to large sized projects Experience with at least one automated test framework like Selenium or Appium Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality

What youll do The Docusign AI team is seeking an experienced and driven engineering leader to build and enhance its machine learning platform and infrastructure. This role is crucial for developing industry-leading Document AI products that leverage extensive text and image data, along with advanced computer vision and natural language models. Youll support the entire machine learning lifecycle, from research to scalable deployment, empowering a global team of machine learning engineers and data scientists. Join us in pioneering the Smart Agreement Cloud, simplifying contract processes and providing automated expertise to customers worldwide. This position is part of the Core AI platform team, collaborating with colleagues across the Bay Area, Seattle, and Europe. This position is a people manager role reporting to the Director of Machine Learning Engineering. Responsibility Be the Engineering leader responsible for executing on our product roadmap using agile practices and will champion the culture, processes, and tools required to maintain a frictionless high quality development environment Design distributed systems at scale with enterprise-grade security and reliability Drive testing, releases, and monitoring of machine learning based products Enable team productivity through correct processes, automation, and reviews to enforce high quality and maintainable code across the platform Collaborate with Applied Science and Product teams to establish requirements and timelines for successful product delivery Work collaboratively across different time zones and geographies Develop highly scalable and reliable machine learning infrastructure that can support efficient model inference, training, and data telemetry collection Build vital tools and infrastructure to monitor and understand the performance of complex systems Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law. What you bring Basic 12+ years of combined software development and management experience across at least 3 languages or paradigms, and frameworks or equivalent experience 8+ years of hands on software development or equivalent experience Experience designing/building/consuming RESTful and gRPC based web-services Experience with CI/CD build pipelines, integration testing, unit testing, and test-driven development Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers Experience with highly scalable, high-volume distributed systems and services with top-tier resiliency, availability, and performance Preferred Experience building machine learning products, data pipelines, or machine learning training and deployment systems Experience with deployment and monitoring of machine learning models Ability and desire to move across technology stacks fluently and easily Strong people management skills, including coaching, mentoring, and leading technical teams Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-VP3 ","qualifications":" Basic 12+ years of combined software development and management experience across at least 3 languages or paradigms, and frameworks or equivalent experience 8+ years of hands on software development or equivalent experience Experience designing/building/consuming RESTful and gRPC based web-services Experience with CI/CD build pipelines, integration testing, unit testing, and test-driven development Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers Experience with highly scalable, high-volume distributed systems and services with top-tier resiliency, availability, and performance Preferred Experience building machine learning products, data pipelines, or machine learning training and deployment systems Experience with deployment and monitoring of machine learning models Ability and desire to move across technology stacks fluently and easily Strong people management skills, including coaching, mentoring, and leading technical teams ","responsibilities":" The Docusign AI team is seeking an experienced and driven engineering leader to build and enhance its machine learning platform and infrastructure. This role is crucial for developing industry-leading Document AI products that leverage extensive text and image data, along with advanced computer vision and natural language models. Youll support the entire machine learning lifecycle, from research to scalable deployment, empowering a global team of machine learning engineers and data scientists. Join us in pioneering the Smart Agreement Cloud, simplifying contract processes and providing automated expertise to customers worldwide. This position is part of the Core AI platform team, collaborating with colleagues across the Bay Area, Seattle, and Europe. This position is a people manager role reporting to the Director of Machine Learning Engineering. Responsibility Be the Engineering leader responsible for executing on our product roadmap using agile practices and will champion the culture, processes, and tools required to maintain a frictionless high quality development environment Design distributed systems at scale with enterprise-grade security and reliability Drive testing, releases, and monitoring of machine learning based products Enable team productivity through correct processes, automation, and reviews to enforce high quality and maintainable code across the platform Collaborate with Applied Science and Product teams to establish requirements and timelines for successful product delivery Work collaboratively across different time zones and geographies Develop highly scalable and reliable machine learning infrastructure that can support efficient model inference, training, and data telemetry collection Build vital tools and infrastructure to monitor and understand the performance of complex systems

Primary Skills: Design, develop and implement cost-effective solution for power distribution systems and power boxes Selection of OEM components and materials for power boxes Create and release engineering drawings & bill of materials using Engineering Change Management process Cable routing using the NX tool Secondary Skills: Interact with PG counterpart in US Study and recommend corrective solutions for Problem Reports of varying complexities. Provide immediate response and timely resolution to design related production issues encountered during the build process Conduct Design review to get approval from all cross functional teams Skills (competencies) Active Listening Adaptability Analytical Thinking CAD & Digital Twin DesignGenerative Design & Additive Manufacturing Collaboration Material Science and Recycling Process Material ScienceMetals, Composite, Surface and Nanomaterials Problem Solving Product Digital DesignAutoCAD Product Digital DesignAutodesk Fusion 360 Product Digital DesignCATIA V5 Project Management Project Planning Projects & QCT Management, Supplier Management Rapid DynamicsCrash and Vulnerability Risk Management Scope Management Specification and Requirements Management Stakeholder Management Static Stress Analysis Static StressPhysics & Simulation Science Strategic Thinking Sustainability-Electrification Sustainability-Green Hydrogen

We are seeking an outstanding software engineer to join our development team in Mumbai office. You will work on data-centric analytical applications with a focus on data access components, providing data infrastructure to other components in the platform, develop scalable high-performance multi-threaded components, develop unit testing, assist with production deployments and post-production support. Your Key Responsibilities We are looking for a software engineer who understands the complexity of building foundational data abstraction layers that sit at the intersection of raw data and complex financial analytics. The ideal candidate brings experience in designing and building platform services, is comfortable with data modeling across multi-asset domains, and is passionate about engineering excellence. In this role, you will be an active contributor to a globally distributed team responsible for abstracting and delivering business-critical data to clients and internal analytics layers. You will work on a mix of strategic initiatives (e.g., unified data interfaces, metadata-driven architecture) and tactical work (e.g., enhancements, issue triage) that directly impact production platforms. You ll participate in design reviews, contribute to coding and testing, and drive implementation of best practices across service boundaries and data pipelines. You ll also work closely with product managers, platform teams, and operations stakeholders to align priorities and deliver business value. Your skills and experience that will help you excel BSc in Computer Science or equivalent degree in Engineering, Mathematics, or a related field. 9 12 years of experience building distributed systems and platform services, preferably in financial services or analytics. Proven expertise with Java, including experience writing scalable, efficient, and testable code. Practical experience working with JVM internals, profiling tools, garbage collection tuning, and performance optimization. Excellent knowledge of data structures, algorithms, concurrency, and memory optimization techniques. Prior exposure to risk or performance attribution systems, or deep experience with financial data modeling across asset classes. Familiarity with Kubernetes, Docker, Azure, Helm, Terraform is a strong plus. Strong interpersonal and communication skills with the ability to work in a globally distributed team. Attention to detail and a pragmatic approach to balancing quality, performance, and delivery timelines. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose to power better investment decisions. You ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

Overview Join our team as an Associate Product Support Engineer focused exclusively on Hadoop distributed systems. In this customer-facing role, you will support enterprise clients by troubleshooting and resolving issues within Hadoop environments. You will work closely with experienced engineers, ensuring the stability and reliability of our customers Hadoop infrastructures. Key Responsibilities Provide technical support for Hadoop clusters, addressing customer issues with empathy and professionalism. Troubleshoot and resolve problems related to Hadoop core components (HDFS, YARN, MapReduce, Hive, etc.). Perform basic administrative tasks such as installation, configuration, and upgrades of Hadoop clusters. Collaborate with customers to understand their issues and deliver effective solutions. Document troubleshooting steps and solutions for knowledge sharing. Required Skills & Experience Minimum 3 years of hands-on experience as a Hadoop Administrator or in a similar Hadoop support role. Strong understanding of Hadoop architecture and core components (HDFS, YARN, MapReduce, Hive). Proven experience in troubleshooting and resolving Hadoop-related issues. Proficiency in Linux operating systems. Good communication skills with a customer-first mindset. Excellent problem-solving skills and the ability to work independently under pressure. Good to Have Experience with components like Spark, NiFi, and HBase will be considered an added advantage. Exposure to data security and data engineering principles within Hadoop environments is a plus. Prior experience in a customer-facing technical support role is an added advantage. Prior experience with tools like Salesforce & Jira Experience with automation and scripting languages, such as Python and Bash, is a plus. This role is ideal for candidates passionate about Hadoop administration and customer support, looking to deepen their expertise in a focused, high-impact environment.

Job Title: Big Data Engineer - Scala Job Description: Preferred Skills: - Strong skills in - Messaging Technologies like Apache Kafka or equivalent, Programming skill Scala, Spark with optimization techniques, Python Should able to write the query through Jupyter Notebook Orchestration tool like NiFi, AirFlow Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics Experience with SQL & Distributed Systems. Strong understanding of Cloud architecture. Ensure a high-quality code base by writing and reviewing performance, well-tested code Demonstrated experience building complex products. Knowledge of Splunk or other alerting and monitoring solutions. Fluent in the use of Git, Jenkins. Broad understanding of Software Engineering Concepts and Methodologies is required.

READY TO DO SOMETHING BIG How would you build the next generation of mission critical systems and services that power the ability to send, store and manage billions of products across the globe on behalf of our selling partners Fulfillment by Amazon (FBA) is the Amazon service for world-wide sellers that offers access to Amazon s vast distribution network as a service. Similar to how AWS provides infrastructure as a service, FBA allows sellers to only pay for what they use, creating a seamless experience to leverage our world-class infrastructure. Sellers, from Fortune 50 companies to hundreds of thousands of small businesses and entrepreneurs, in 135 countries worldwide, rely upon our world-leading technology to grow and thrive on Amazon s Marketplaces. As a leader within FBA, you will provide both strategic and tactical oversight to build the features and functionality required to have the best in class offering for sellers. This leader will create mechanisms to drive optimal seller behavior for FBA inventory management, reducing total supply chain costs and making it easier for sellers to get their inventory close to customers, delivering more items with a Prime delivery promise. This leader will invent new ways to deliver value for sellers and their products, while leveraging the scale and innovation of technology from across the Amazon family, including AWS. We operate as a startup within Amazon, providing our team great flexibility in product and technology direction. Come, join us and build the future! You will solve ambiguous business problems and map them to elegant technical solutions You will use object-oriented concepts, algorithms and data structures to build systems at Amazon scale You will design, launch, and re-architect multi-tier systems with large amounts of data You will quickly adapt to fast-paced development environment with bias towards simple and extensible code Bachelors degree or higher in computer science or equivalent 3+ years of non-internship professional software development experience 3+ years of programming with at least one software programming language experience 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Code, design, and implementation sets the example to others 3+ years of leading engineering excellence, including coding standards, code reviews, source control management, build processes, testing, and operations experience Prior experience architecting, developing and operating large scale distributed systems Prior experience in component architecture, simplification, data structures and code refactoring Experience with high-volume transaction processing Retail/e-commerce system design experience in a global context

IN PayX (India Payment Experience) team is looking for an SDE-2 to join us on our journey to build best-in-industry payment experience. PayX is an India first product with a vision to give every Amazon Pay customer access to a consistent, secure, compliant, highly reliable and friction-less payment experience transacting on or off Amazon. We power payments for 15+ Amazon India businesses like A.in Retail Marketplace, Login & Pay with Amazon (LPA), Prime, PrimeVideo, Amazon Business, Amazon Marketing Services, etc. To give you a glimpse of our scale and impact in 2020, our systems processed ~1.6 billion successful payments via offerings spanning across four key areas: 1. Selection: Payment method selection powered by varied remote rendered widgets, Pay Select Page (PSP) being the prominent experience. 2. Processing: Encapsulated multi-factor authentication and payment processing workflow orchestration. 3. Influencing: Dynamic payment method suppression and Machine Learning powered personalised payment method recommendation. 4. Post Purchase Experiences: Data pipeline to processo transactional data across Amazon Pay India business and power use-cases such as Transaction History. Why join us 1. Innovation: We are working on key end-customer facing innovations like personalised and context-aware inline payment method selection, best-in-industry Pay Select Page (PSP) latency, unified recurring payments selection & processing, etc. The ambiguity and complexity of these areas provide endless opportunities to innovate on behalf of our customers. 2. Learning: We work on a very diverse problem space ranging from client-side rendering innovations to fault tolerant Tier1 distributed systems to ML powered contextual payment method recommendations. We encourage and facilitate rotation of engineers in the team across these areas for multifaceted growth. We also have a thriving Friday Learning Series both at team and org level where everyone gets an opportunity to learn & present on diverse topics ranging from technical workshops to personal growth discussions. 3. Growth: We have multiple large initiatives in pipeline for H2 2025 like expanding Paycheckout to Mexico, Transaction Details Page, Improving Revise Payments Experience etc. We are looking for SDEs to join us and lead these ambitious projects. We have multiple Sr SDEs and PEs working and overseeing projects in this space to nurture and guide junior engineers. The managers in our team collaborate with each team member on planning and tracking career growth via thorough goal setting, frequent career connects, individual mentors and proactive goal/work summary assessments. 4. Fun: Despite driving highly ambitious goals and pursuing them relentlessly, we also try to find avenues to have fun with teammates while working hard and making history. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

READY TO DO SOMETHING BIG How would you build the next generation of mission critical systems and services that power the ability to send, store and manage billions of products across the globe on behalf of our selling partners Fulfillment by Amazon (FBA) is the Amazon service for world-wide sellers that offers access to Amazon s vast distribution network as a service. Similar to how AWS provides infrastructure as a service, FBA allows sellers to only pay for what they use, creating a seamless experience to leverage our world-class infrastructure. Sellers, from Fortune 50 companies to hundreds of thousands of small businesses and entrepreneurs, in 135 countries worldwide, rely upon our world-leading technology to grow and thrive on Amazon s Marketplaces. As a leader within FBA, you will provide both strategic and tactical oversight to build the features and functionality required to have the best in class offering for sellers. This leader will create mechanisms to drive optimal seller behavior for FBA inventory management, reducing total supply chain costs and making it easier for sellers to get their inventory close to customers, delivering more items with a Prime delivery promise. This leader will invent new ways to deliver value for sellers and their products, while leveraging the scale and innovation of technology from across the Amazon family, including AWS. We operate as a startup within Amazon, providing our team great flexibility in product and technology direction. Come, join us and build the future! You will solve ambiguous business problems and map them to elegant technical solutions You will use object-oriented concepts, algorithms and data structures to build systems at Amazon scale You will design, launch, and re-architect multi-tier systems with large amounts of data You will quickly adapt to fast-paced development environment with bias towards simple and extensible code About the team FBA Inventory Management team has a charter to help selling partners and enterprises to optimally plan and manage their inventory in Amazons fulfillment and warehousing network to meet their onand off-Amazon demand while minimizing risk of understock and overstock. We do this by providing sellers detailed visibility of their inventory in our network, performance metrics, planning & automation tools and recommendations to manage their inventory. Bachelors degree or higher in computer science or equivalent 3+ years of non-internship professional software development experience 3+ years of programming with at least one software programming language experience 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Code, design, and implementation sets the example to others 3+ years of leading engineering excellence, including coding standards, code reviews, source control management, build processes, testing, and operations experience Prior experience architecting, developing and operating large scale distributed systems Prior experience in component architecture, simplification, data structures and code refactoring Experience with high-volume transaction processing Retail/e-commerce system design experience in a global context

Amazons extensive global fulfillment network empowers businesses of all sizes to reach customers worldwide. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes. We have built a highly respected software engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network. You will be working with senior SDEs and Principals to solve problems of scale, improve existing services & build new ones, and work on deep and complex algorithms to improve the experience of our customers globally while optimizing network operations. You work will cut across multiple functions and organizations to deliver value to the business. 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

So, what s the role all about We are looking for a highly skilled and motivated Site Reliability Engineering (SRE) Manager to lead a team of SREs in designing, building, and maintaining scalable, reliable, and secure infrastructure and services. You will work closely with engineering, product, and security teams to improve system performance, availability, and developer productivity through automation and best practices. How will you make an impact Build server-side software using Java Lead and mentor a team of SREs; support their career growth and ensure strong team performance. Drive initiatives to improve availability, reliability, observability, and performance of applications and infrastructure. Establish SLOs/SLAs and implement monitoring systems, dashboards, and alerting to measure and uphold system health. Develop strategies for incident management, root cause analysis, and postmortem reporting. Build scalable automation solutions for infrastructure provisioning, deployments, and system maintenance. Collaborate with cross-functional teams to design fault-tolerant and cost-effective architectures. Promote a culture of continuous improvement and reliability-first engineering. Participate in capacity planning and infrastructure scaling. Manage on-call rotations and ensure incident response processes are effective and well-documented. Work in a fast-paced, fluid landscape while managing and prioritizing multiple responsibilities Have you got what it takes Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of overall experience in SRE/DevOps roles, with at least 2 years managing technical teams. Proficiency in at least one programming language (e. g. , Python, Go, Java, C#) and experience with scripting languages (e. g. , Bash, PowerShell). Deep understanding of cloud computing platforms (e. g. , AWS), the working and reliability constraints of some of the prominent services (e. g. , EC2, ECS, Lambda, DynamoDB etc) Experience with infrastructure as code tools such as CloudFormation, Terraform. Deep understanding of CI/CD concepts and experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI. Strong knowledge of containerization technologies (e. g. , Docker, Kubernetes) and microservices architecture. Experience with monitoring and observability tools (e. g. , Prometheus, Grafana, ELK). Working experience of Grafana Observability Suite (Loki, Mimir, Tempo). Experience in implementing OpenTelemetry protocol in Microservice environment. Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems. Experience of Incident management and blameless postmortems that includes driving the incident response efforts during outages and other critical incidents, resolution, and communication in a cross-functional team setup. Good to have skills: Handson experience of working with large Kubernetes Cluster. Certification will be an added plus. Administration and/or development experience of standard monitoring and automation tools such as Splunk, Datadog, Pagerduty Rundeck. Familiarity with configuration management tools like Ansible, Puppet, or Chef. Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent. About NiCE

As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Expertise in developing, debugging and have sound knowledge in UI technologies REACT, JavaScript, CSS, and HTML5 Expertise using modern front-end tools such as React, Redux, SASS, Webpack, Jest, Cypress, Micro front end Architecture etc. Hands-on practical experience delivering system design, application development, testing, and operational stability Proficient in all aspects of the Software Development Life Cycle Experience of agile methodologies such as CI/CD, Application Resiliency, and Security Ability and willingness to take complete ownership over a feature, bug or entire project and drive it to completion. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies In-depth knowledge of the financial services industry and their IT systems Experience with public/private Cloud technologies Experience designing Distributed Systems Ability to lead collaborative teams to achieve organizational goals, and passionate about building an innovative culture As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Expertise in developing, debugging and have sound knowledge in UI technologies REACT, JavaScript, CSS, and HTML5 Expertise using modern front-end tools such as React, Redux, SASS, Webpack, Jest, Cypress, Micro front end Architecture etc. Hands-on practical experience delivering system design, application development, testing, and operational stability Proficient in all aspects of the Software Development Life Cycle Experience of agile methodologies such as CI/CD, Application Resiliency, and Security Ability and willingness to take complete ownership over a feature, bug or entire project and drive it to completion. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies In-depth knowledge of the financial services industry and their IT systems Experience with public/private Cloud technologies Experience designing Distributed Systems Ability to lead collaborative teams to achieve organizational goals, and passionate about building an innovative culture

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. Thats why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Software Engineer- Back-end Engineer - Chase UK at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. reward campaigns, call-centre supporting innovations and more. Job responsibilities Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Build solutions that avoid single points of failure, using scalable architectural patterns. Develop secure code so that our customers and ourselves are protected from malicious actors. Promptly investigate and fix issues and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users. See that our data is written and read in a way thats optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems. Ensure our systems are reliable and easy to operate. Keep us up to date by continuously updating our technologies and patterns. Support the products youve built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience Recent hands-on professional experience as a back-end software engineer Experience in coding in a recent version of the Java programming language Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc. ) Excellent written and verbal communication skills in English Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Knowledge of messaging frameworks. Seasoned with operating, supporting and the security of mission critical software applications. Understanding with different kinds of data stores (including relational data stores) Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities and skills Experience in working in a highly regulated environment / industry Seasoned with cloud-native microservices architecture Proficient with AWS cloud technologies #ICBEngineering #ICBcareers At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. Thats why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Software Engineer- Back-end Engineer - Chase UK at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. reward campaigns, call-centre supporting innovations and more. Job responsibilities Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Build solutions that avoid single points of failure, using scalable architectural patterns. Develop secure code so that our customers and ourselves are protected from malicious actors. Promptly investigate and fix issues and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users. See that our data is written and read in a way thats optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems. Ensure our systems are reliable and easy to operate. Keep us up to date by continuously updating our technologies and patterns. Support the products youve built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience Recent hands-on professional experience as a back-end software engineer Experience in coding in a recent version of the Java programming language Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc. ) Excellent written and verbal communication skills in English Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Knowledge of messaging frameworks. Seasoned with operating, supporting and the security of mission critical software applications. Understanding with different kinds of data stores (including relational data stores) Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities and skills Experience in working in a highly regulated environment / industry Seasoned with cloud-native microservices architecture Proficient with AWS cloud technologies #ICBEngineering #ICBcareers

Are you passionate about building highly available, robust, and scalable distributed systemsDo you enjoy working with developers and customers to deliver modern microservice based applicationsAre you confident at iteratively refining user requirements and removing any ambiguityDo you like to be challenged and encouraged to learn and grow professionally We re looking for a Software Engineer to: be responsible for designing and building critical components to successfully deliver solutions work with a global team of analysts, engineers, and business stakeholders take ownership and drive deliveries within a supportive team environment embrace the complex business requirements and enjoy the challenge of implementing them work as part of an agile development team within a global technology team located in the Singapore, UK, Switzerland and India We may request you to complete one or more assessments during the application process. Learn more

Software Engineering Associate Advisor- HIH - Evernorth About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Software Engineering Associate Advisor: Responsibilities: Candidates will need to have experience with medium-to-large-scale web development. Ability to develop within full technology stack Be part of a fast moving team, working with the latest tools and open source technologies Design and develop our next generation of RESTful APIs and Event driven services in a distributed environment Use advanced, distributed technologies to process, store, and quickly retrieve huge volumes of data Work on a development team using agile methodologies Primary Skills: 8+ years of work experience in application engineering Experience with scripting languages such as Typescript Experience with development in Nodejs environment Web application development experience with compiled languages such as Java Strong understanding of parallel processing, concurrency and asynchronous concepts Strong experience with Event Driven Architecture (preferred) Experience with developing RESTful web services Strong experience with enterprise level N-tier web applications Experienced with NoSql Databases - DynamoDb, MongoDB, Cassandra Experience in writing native SQL queries Strong experience with cloud infrastructure AWS (preferred) Experience with Application Monitoring Tools (Splunk, Cloudwatch, Dynatrace etc) Experience with enterprise security Including IAM Roles & Policies, Auth0/Okta, Encryption, API Gateways, Firewalls, Private Cloud) Experience with Continuous Integration/Deployments (Jenkins/Terraform/Git Lab Runners) Nice to Haves: Experience with React (preferred), React Native (preferred), Angular 2+ Experience in SSO (SAML, OPENID) Knowledge of search solutions such as Lucene, Solr, or ElasticSearch Experience in architecting and designing distributed systems that are highly available and security focused Experience with designing event-based systems Experience with single-page applications About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Responsibilities Develop and maintain scalable web applications using Node. js (Express or Hapi) with TypeScript. Design and implement responsive front-end interfaces using Angular or React (TypeScript). Work with MySQL for efficient database design and optimization. Build custom modules, plugins, and components with a focus on performance and reusability. Develop and integrate microservices to support distributed systems. Collaborate with cross-functional teams to deliver high-quality software solutions. Apply strong problem-solving skills to troubleshoot and resolve technical challenges. Requirements BE in CS / IT, MSc CS, MCS, MCA Science. 5-6 years of experience in full stack development. Strong experience in Node. js with Express or Hapi and TypeScript. Proficient in Angular or React (TypeScript), JavaScript fundamentals, data structures and design patterns. Solid understanding of MySQL and relational database design. Hands-on experience in building custom features, modules, or plugins. Knowledge of microservices architecture. Excellent analytical and problem-solving abilities.

We are looking forward to hire Python 3 Professionals in the following areas : : Full stack Software Engineer- Python + Angular | Experience - 5 to 8 years Essential Responsibilities and Duties: Strong Experience in Python and/or Java: Proven experience (5+ years) in backend development with Python or Java, focusing on building scalable and maintainable applications. Angular Development Expertise: Strong hands-on experience in developing modern, responsive web applications using Angular. Microservices Architecture: In-depth knowledge of designing, developing, and deploying microservices-based architectures. DevOps Understanding: Good understanding of DevOps practices, CI/CD pipelines, and tools to automate deployment and operations. Problem-Solving Skills: Ability to investigate, analyse, and resolve complex technical issues efficiently. Adaptability: Strong aptitude for learning and applying new technologies in a fast-paced environment. Cloud Environments Knowledge: Hands-on experience with at least one cloud platform (GCP, Azure, AWS). Containerization Technologies: Experience working with container technologies like Kubernetes and Docker for application deployment and orchestration. Technology: Python 3 Angular Cloud technology (GCP / Azure / AWS). Understand Docker, Kubernetes. Previous Experience and Competencies: Bachelor s degree in IT related discipline Strong computer literacy with aptitude and readiness for multidiscipline training 5 - 8 years seniority (Senior and Hands on) Preferred Qualifications Strong in Software Engineering. Interest in designing, analysing and troubleshooting large-scale distributed systems. Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Ability to debug and optimize code and automate routine tasks. Good to have: Familiarity with data integration platforms like Dataiku or industrial data platforms like Cognite would be a bonus Behavior: Fosters and maintains excellent internal, client and third-party relationships Possesses a high degree of initiative Adaptable and willing to learn new technologies; keeps abreast of key developments in relevant technologies Able to work under pressure Excellent oral, written communication, and interpersonal skills Practices effective listening techniques Able to work independently or as part of a team Effectively analyses and solves problems with attention to the root cause Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

About Hevo: At Hevo, we are changing the way companies leverage data to drive user experience, growth, and business processes. There has been a fundamental change in the amount of data companies are generating on a day-to-day basis. More and more users in an organization are now looking to use data to drive business decisions. Data is no longer a second-class citizen and companies are seeing data as a competitive advantage. We see this change and we are on a mission to change the way companies leverage their data. With a technology platform processing more than 100 billion records a month and doubling itself every 6 months, Hevo is poised for exponential growth in the coming future. This position provides a unique opportunity to create a massive impact on all existing and future customers of Hevo through technology innovation. We are looking for people who believe in challenging the status quo and are ready to be a part of this change. If you are the one who is looking to take a leap of faith and work on the technology of the future, if you obsess over customer satisfaction and experience then we are looking for you. What you ll be doing: Work on highly maintainable and scalable components/systems/ infra.Develop good, and effective tools and scripts to optimize or eliminate manual processes; improve overall system reliability.Participate in on-call rotation & and debugging during outages.Actively work on own learning and development, on tech as well as product side.Exhibit ownership & accountability when it comes to timelines, system uptime, and production SLA.Data-driven - collect & build metrics for the system, infra, platform, and business.Mentoring and guiding the team members.Exhibit ownership and leadership skills required to become an indispensable part of the engineering team and culture. Key Requirements: 5-8 years of experience in building scalable, highly critical distributed systems. B.Tech in Computer Science or equivalent from a reputed college. Excellent programming skills in Python, Go or Ruby or any other popular language. Shell scripting is de facto. Encouraging and building automated processes wherever possible. Strong in Networking (triaging, packet loss, routing, protocols, TCP/IP stack), OS and Docker / Containerization. Experience in working on Distributed Systems with deep knowledge of fundamental principles (architectures, micro-services, high-availability, elections). Thorough understanding of cloud service delivery (DevOps) infrastructure ecosystem, operational processes, and orchestration models, specifically AWS. Hands on experience with building large, scalable CI/CD systems. Excellent skills in investigating and troubleshooting complicated systems/platforms, and identifying key points of failure. Monitoring & Logging best practices. Experience in configuration/infra provisioning management systems, specifically Ansible, Terraform.

we're seeking an exceptional ML Platform Engineer to join our elite team in building next-generation machine learning infrastructure. you'll be at the forefront of developing scalable ML platforms that power CrowdStrikes threat detection and prevention capabilities, processing data at unprecedented scale. What you'll Do: Architecture & Development Design and implement enterprise-scale ML infrastructure using Ray, Kubernetes, and cloud-native technologies Architect high-performance model serving solutions handling millions of predictions per second Build robust, scalable systems for model training, deployment, and monitoring Lead technical decisions for critical ML platform components MLOps & Infrastructure Develop automated ML pipelines using Airflow and MLflow Implement sophisticated monitoring and observability solutions Optimize resource utilization across distributed computing environments Design fault-tolerant, highly available ML systems Performance Engineering Optimize large-scale distributed systems for maximum throughput Implement advanced memory management strategies for ML workloads Design and optimize real-time inference systems Tune system performance for production-grade ML operations What you'll Need: 6+ years of software engineering experience with distributed systems 6+ years of hands-on experience building ML platforms Deep expertise in Python and modern ML infrastructure tools Proven experience with Kubernetes, containerization, and cloud platforms Strong background in performance optimization and scalability Experience with Ray, JupyterHub, MLflow, or similar ML platforms Technical Expertise: Distributed Systems: Ray, Kubernetes, Docker or similar large scale distributed systems ML Platforms: MLflow, Kubeflow, JupyterHub, Kubeflow Infrastructure: AWS/GCP/Azure, Terraform Languages: Python, Go Observability: Prometheus, Grafana CI/CD: GitLab, Jenkins What Sets You Apart: Contributions to open-source ML infrastructure projects Experience with real-time, high-throughput inference systems Background in cybersecurity or threat detection Track record of leading technical initiatives Experience with large-scale data processing systems Impact : Your work will directly strengthen CrowdStrikes core mission of stopping breaches by building and scaling the infrastructure that powers our next-generation ML capabilities. Join us in protecting our customers and shaping the future of cybersecurity. Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental we'llness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe

We're seeking an exceptional Senior ML Platform Engineer to join our elite team in building next-generation machine learning infrastructure. you'll be at the forefront of developing scalable ML platforms that power CrowdStrikes threat detection and prevention capabilities, processing data at unprecedented scale. What you'll Do: Architecture & Development Design and implement enterprise-scale ML infrastructure using Ray, Kubernetes, and cloud-native technologies Architect high-performance model serving solutions handling millions of predictions per second Build robust, scalable systems for model training, deployment, and monitoring Lead technical decisions for critical ML platform components MLOps & Infrastructure Develop automated ML pipelines using Airflow and MLflow Implement sophisticated monitoring and observability solutions Optimize resource utilization across distributed computing environments Design fault-tolerant, highly available ML systems Performance Engineering Optimize large-scale distributed systems for maximum throughput Implement advanced memory management strategies for ML workloads Design and optimize real-time inference systems Tune system performance for production-grade ML operations What you'll Need: 8+ years of software engineering experience with distributed systems 4+ years of hands-on experience building ML platforms Deep expertise in Python and modern ML infrastructure tools Proven experience with Kubernetes, containerization, and cloud platforms Strong background in performance optimization and scalability Experience with Ray, JupyterHub, MLflow, or similar ML platforms Technical Expertise: Distributed Systems: Ray, Kubernetes, Docker or similar large scale distributed systems ML Platforms: MLflow, Kubeflow, JupyterHub, Kubeflow Infrastructure: AWS/GCP/Azure, Terraform Languages: Python, Go Observability: Prometheus, Grafana CI/CD: GitLab, Jenkins What Sets You Apart: Contributions to open-source ML infrastructure projects Experience with real-time, high-throughput inference systems Background in cybersecurity or threat detection Track record of leading technical initiatives Experience with large-scale data processing systems Impact : Your work will directly strengthen CrowdStrikes core mission of stopping breaches by building and scaling the infrastructure that powers our next-generation ML capabilities. Join us in protecting our customers and shaping the future of cybersecurity. Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental we'llness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe

we're seeking an exceptional Senior ML Platform Engineer to join our elite team in building next-generation machine learning infrastructure. you'll be at the forefront of developing scalable ML platforms that power CrowdStrikes threat detection and prevention capabilities, processing data at unprecedented scale. What you'll Do: Architecture & Development Design and implement enterprise-scale ML infrastructure using Ray, Kubernetes, and cloud-native technologies Architect high-performance model serving solutions handling millions of predictions per second Build robust, scalable systems for model training, deployment, and monitoring Lead technical decisions for critical ML platform components MLOps & Infrastructure Develop automated ML pipelines using Airflow and MLflow Implement sophisticated monitoring and observability solutions Optimize resource utilization across distributed computing environments Design fault-tolerant, highly available ML systems Performance Engineering Optimize large-scale distributed systems for maximum throughput Implement advanced memory management strategies for ML workloads Design and optimize real-time inference systems Tune system performance for production-grade ML operations What you'll Need: 8+ years of software engineering experience with distributed systems 4+ years of hands-on experience building ML platforms Deep expertise in Python and modern ML infrastructure tools Proven experience with Kubernetes, containerization, and cloud platforms Strong background in performance optimization and scalability Experience with Ray, JupyterHub, MLflow, or similar ML platforms Technical Expertise: Distributed Systems: Ray, Kubernetes, Docker or similar large scale distributed systems ML Platforms: MLflow, Kubeflow, JupyterHub, Kubeflow Infrastructure: AWS/GCP/Azure, Terraform Languages: Python, Go Observability: Prometheus, Grafana CI/CD: GitLab, Jenkins What Sets You Apart: Contributions to open-source ML infrastructure projects Experience with real-time, high-throughput inference systems Background in cybersecurity or threat detection Track record of leading technical initiatives Experience with large-scale data processing systems Impact : Your work will directly strengthen CrowdStrikes core mission of stopping breaches by building and scaling the infrastructure that powers our next-generation ML capabilities. Join us in protecting our customers and shaping the future of cybersecurity. Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental we'llness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe

As a Senior Software DevOps Engineer, you will lead the design, implementation, and evolution of telemetry pipelines and DevOps automation that enable next-generation observability for distributed systems. You will blend a deep understanding of Open Telemetry architecture with strong DevOps practices to build a reliable, high-performance and self-service observability platform across hybrid cloud environments (AWS & Azure). Your mission: empower engineering teams with actionable insights through rich metrics, logs, and traces, while championing automation and innovation at every layer. WHAT YOU WILL BE DOING Observability Strategy & Implementation Architect and manage scalable observability solutions using OpenTelemetry (OTel),encompassing: Collectors: Design and deploy OTel Collectors (agent/gateway modes) for ingesting and exporting telemetry across services. Instrumentation: Guide teams on auto/manual instrumentation for services (metrics, traces, and logs). Export Pipelines: Build telemetry pipelines to route data to backends like Grafana, Prometheus, Loki, New Relic, and Azure Monitor. Processors & Extensions: Leverage OTel processors (batching, filtering, resource detection) and extensions for advanced enrichment and routing. DevOps Automation & Platform Reliability Own the CI/CD experience using GitLab Pipelines, integrating infrastructure automation with Terraform, Docker, and scripting in Bash and Python. Build resilient and reusable infrastructure-as-code modules across AWS and Azure ecosystems.Manage containerized workloads, registries, secrets, and secure cloud-native deployments with best practices. Cloud-Native Enablement Develop observability blueprints for cloud-native apps across AWS (ECS, EC2, VPC,IAM, CloudWatch) and Azure (AKS, App Services, Monitor). Optimize cost and performance of telemetry pipelines while ensuring SLA/SLO adherence for observability services. Monitoring, Dashboards, and Alerting Build and maintain intuitive, role-based dashboards in Grafana ,New Relic..., enabling real-time visibility into service health, business KPIs, and SLOs. Implement alerting best practices (noise reduction, deduplication, alert grouping)integrated with incident management systems. Innovation & Technical Leadership Drive cross-team observability initiatives that reduce MTTR and elevate engineering velocity. Champion innovation projects including self-service observability onboarding, log/metric reduction strategies, AI-assisted root cause detection, and more. Mentor engineering teams on instrumentation, telemetry standards, and operational excellence. WHAT YOU BRING 10+years of experience in DevOps, Site Reliability Engineering, or Observability roles. Deep expertise with OpenTelemetry, including Collector configurations, receivers/exporters (OTLP, HTTP, Prometheus, Loki), and semantic conventions. Proficient in GitLab CI/CD, Terraform, Docker, and scripting (Python, Bash, Go). Strong hands-on experience with AWS and Azure services, cloud automation, and cost optimization. Proficiency with observability backends: Grafana, New Relic, Prometheus, Loki, or equivalent APM/log platforms. Passion for building automated, resilient, and scalable telemetry pipelines. Excellent documentation and communication skills to drive adoption and influence engineering culture. Nice to Have) Certifications in AWS, Azure, or Terraform. Experience with OpenTelemetry SDKs in Go, Java, or Node.js . Familiarity with SLO management, error budgets, and observability-as-code approaches. Exposure to event streaming (Kafka,rabbitmq), Elasticsearch ,Vault,consul

The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse, built and owned by the Data Platform team. The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights, threat hunting, incident investigations and more. As an engineer in this team, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. you'll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets. What you'll Do: Help design, build, and facilitate adoption of a modern Data+ML platform Modularize complex ML code into standardized and repeatable components Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment What you'll Need: B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 10+ years related experience; or M.S. with 8+ years of experience; or Ph.D with 6+ years of experience. 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable. Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc) Production experience with infrastructure-as-code tools such as Terraform, FluxCD Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI/CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills, capable of working in a dynamic environment Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Critical Skills Needed for Role: Distributed Systems Knowledge Data Platform Experience Machine Learning concepts Experience with the Following is Desirable: Go Iceberg Pinot or other time-series/OLAP-style database Jenkins Parquet Protocol Buffers/GRPC Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental we'llness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe

We are actively seeking a highly motivated Senior Software Engineer for the Hyperscale Product Escalations team who excels in dynamic, small-team settings. You will get a chance to contribute to innovative product ideas that tackle challenges within massive-scale cloud storage environments. These new storage systems will allow our largest customers to meet the demands of AI and hyperscale workloads. You will be contributing to innovative solutions using flash storage technologies and software. SHOULD YOU ACCEPT THIS CHALLENGE The Escalations Software Engineer or forensics engineer as we call them here at Pure will help with customer issues and create software to analyze and predict the health of distributed systems that are deployed. It will be your responsibility to own and resolve technical issues coming in from the field that are more technical than what our support team can resolve on their own, to develop next-gen services that will enable real-time predictive analysis of the behavior of all systems sold into the field, and to develop software to protect customers from known issues and help cure anomalies in short-time after they have been detected. Lead investigation and resolution of emergent engineerings problems from the field that require engineering expertise Create and maintain services and tools to diagnose and protect the health of an ever growing fleet Create next generation analytics that anticipate new problems Acquire a deep understanding of Pures full software stack If you see a problem, you are empowe'red to pull engineers together and go fix it! Regularly present to the larger engineering team as we'll as executives about complex engineering issues Interact directly with customers to enable seven-figure sales WHAT you'll NEED TO BRING TO THIS ROLE You already have a solid background in software development along with experience with linux, system administration, networking, and storage. A history of learning new technologies on the job indicates a strong fit for this role. Ideal candidates will come from Software Development background. In addition, you may identify with some of the following: 4+ years of experience with Python, Go, C++, and linux and other related programming languages. Natural curiosity, obsessive attention to detail and innate troubleshooting skills Ability to analyze complex systems and describe in simplest terms Experience with Big Data production environments Strong analytical and problem-solving skills with a creative approach to addressing technical requirements. bachelors or masters degree in Electrical Engineering, Computer Science, or a related technical field or equivalent industry experience. Must be willing and able to work in an open office environment. WHAT YOU CAN EXPECT FROM US: Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortunes Best Large Workplaces in the Bay Area , Fortunes Best Workplaces for Millennials and certified as a Great Place to Work ! Pure Team : We build each other up and set aside ego for the greater good

You will be joining a pivotal team at Eightfold responsible for our flagship Talent Acquisition (TA) product line, a major revenue generator that has been integral to our success from the start Our prestigious global enterprise customers rely on this product, and our engineering team is at the heart of all product development activities Key outcomes for this team include: > Reducing time-to-hire for our customers > Innovating and enhancing product capabilities, from new feature development to improving existing features maturity and performance > Integrating cutting-edge technologies such as Large Language Models (LLMs) and AI into our product architecture > Building new product lines as needed to deliver a robust and comprehensive customer experience The work done by this team is directly tied to Eightfolds overall success If you're eager to be part of a dynamic, high-impact product development environment and grow with the team, this is the perfect opportunity What you'll do: > Own a broad problem space end-to-end from designing scalable solutions to driving implementation and delivery > Serve as a technical lead and mentor, guiding team members and fostering engineering excellence > Be hands-on with coding, actively contributing to core development efforts alongside the team > Conduct thorough code and design reviews to maintain quality and consistency across the codebase > Design and develop robust, scalable, and configurable server-side applications and modules, with a strong focus on quality, performance, and reusability > Collaborate cross-functionally with Product, Design, and Engineering teams to define solutions, create roadmaps, and execute effectively > Build systems with customization and generalization in mind, leveraging configuration management to support flexibility at scale > Continuously improve test coverage, including unit and Selenium-based automated testing > Develop and enhance internal tools to streamline administration, monitoring, and alerting What we need: > Strong foundation in Computer Science fundamentals (data structures, algorithms, system design) > 10+ years of experience in back-end development, with a track record of building reliable and performant systems > Hands-on experience with distributed systems, microservices, and highly scalable back-end architectures > Experience using Generative AI tools is a plus, especially tools like Cursor, which we actively use in our workflows > Passionate about coding, designing, building, launching, and maintaining high-quality products > Attention to detail, especially when it comes to user experience and system behavior > Proficiency in at least one mainstream programming language (bonus points for Python) > Strong communication and collaboration skills with a team-oriented mindset