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About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role As a Senior Product Designer at AiDASH, you will define the standard for AI-augmented design practice across the organization. You are not just a designer who occasionally uses AI—you are someone who has fundamentally rewired your design workflow around AI tools, using them daily for research synthesis, rapid prototyping, visual exploration, and production-ready output. You bring extensive experience in user experience design with deep specialisation in at least three areas: user research, service design, digital product design, interface design, visual design, or related disciplines. Crucially, you also bring a proven track record of leveraging AI tools to dramatically accelerate and elevate your design work. How You'll Make an Impact: Drive Technology Transformation: Play a key role in delivering and designing technology solutions that reshape how ou

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Location- Chennai Team: Engineering Enablement Group As a Senior Software Engineer in our Engineering Enablement Group, you will lead the re-design and evolution of our Mobile Branding framework — the system that enables customers to create custom-branded versions of the Appian mobile application for both iOS and Android. You will drive the architectural modernization of the end-to-end branding pipeline, from the customer-facing Forum application and provisioning tools to the backend build service running on Mac EC2 runners in AWS. By leveraging modern microservices, CI/CD automation, and cloud-native infrastructure, you will transform the current system into a more reliable, scalable, and maintainable platform that reduces manual intervention and accelerates customer delivery. We are looking for a technical leader who can bridge the gap between complex Ruby/Bash-based tooling, Appian process models, and AWS infrastructure to deliver a seamless mobile branding experience. Primary Qualifications: 6-9 Strong working experience with Android and iOS frameworks and mobile application development workflows. Familiarity with mobile build systems (Fastlane, Xcode, Gradle) and code-signing workflows. Experience with proficiency in Python, with experience in Ruby, Bash, or Go being a plus. Advanced experience with AWS infrastructure (S3, Lambda, EC2) and CI/CD pipeline design. Strong end-to-end knowledge of pipeline creation, deployment automation, and infrastructure-as-code (Terraform). Familiarity with monitoring, observability, and performanc

Senior Software Engineer (Backend) About Team Cloud Platform Engineering group designs, builds and manages platforms that allow Myntra’s tech product to be secured, reliable, deployed and run at scale. These horizontal platforms leverage cloud hosting platforms and ensure all Myntra’s hostings are agnostic to Cloud vendor. We also build a number of production automation like provisioning of infrastructure at scale and manage complex access management on servers. We have developed numerous in-house tools and platform for load/stress testing, zero trust, security and compliance, CI/CD, Observability at scale. And, we aggressively adopt from open sources and try to contribute back to the community. Tools and Platform Engineering This team builds and maintains centralized and high-scale platforms for Observability (centralized log collection, metric systems, monitoring systems), Security & Compliance (access management, secret management, database access, change management systems, Authentication and Authorization of services etc). The platforms developed by these teams are centralized tools used by all engineering teams for database access, and changes, infrastructure provisioning, on-call scheduling, onboarding new monitoring etc. The vault system and APIs, developed, deployed and managed by this team, is being used by all Myntra’s production services. This team consists of full-stack developers who are skilled in Python, Golang, ReactJs. Roles and Responsibilities Design, build and maintain central platform products to improve the security posture of Myntra Write maintainable, scalable, and efficient code. Design and architect technical solutions for the developer community at Myntra Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, code reviews, etc. Follow scrum sprint cycles and commitment to deadlines. Identify security gaps in or for software platforms and incorporate them into requirements

Key Responsibilities : Primary responsibilities :- Installation and configuration of MySQL instances on single or multiple ports. Hands-on experience of working with MysQL 5.7 and MySQL 8. Clear understanding of MysQL Replication process flows , threads , setting up multi node clusters and basic troubleshooting. Understanding of at least one of the backup and recovery methods for MySQL . Strong fundamentals of SQL and able to understand and tune complex SQL queries when needed. Strong fundamentals on the linux system side and monitoring tools like top , iostats , sar etc. At Least couple of years of production hands on experience on medium to big sized MySQL databases. Setting up and maintaining users and privileges management system and troubleshooting relevant access issues. Some exposure to external tools like Percona , ProxySQL , HAP etc. Understand the transaction flows and ACID compliance. Basic understanding of networking concepts . Performing on-call support and should be able to provide the first level support . Excellent verbal and written communication skills. Strong shell scripting skills . Good to have Python . Secondary responsibilities. :- Able to configure and setup NOSQL databases like Mongodb and Cassandra. Ability to learn new technologies along with a team and a positive outlook to understand problems from the business point of view. Qualifications: Proficiency in database management systems such as , MySQL or NoSQL databases. SQL programming and database design skills. Knowledge of database performance tuning and optimization techniques. Familiarity with database security best practices. Scripting and automation skills (Good to have- Python). Good problem-solving and analytical skills. Excellent communication and teamwork skills.

Key Responsibilities : Primary responsibilities :- Installation and configuration of MySQL instances on single or multiple ports. Hands-on experience of working with MysQL 5.7 and MySQL 8. Clear understanding of MysQL Replication process flows , threads , setting up multi node clusters and basic troubleshooting. Understanding of at least one of the backup and recovery methods for MySQL . Strong fundamentals of SQL and able to understand and tune complex SQL queries when needed. Strong fundamentals on the linux system side and monitoring tools like top , iostats , sar etc. At Least couple of years of production hands on experience on medium to big sized MySQL databases. Setting up and maintaining users and privileges management system and troubleshooting relevant access issues. Some exposure to external tools like Percona , ProxySQL , HAP etc. Understand the transaction flows and ACID compliance. Basic understanding of networking concepts . Performing on-call support and should be able to provide the first level support . Excellent verbal and written communication skills. Strong shell scripting skills . Good to have Python . Secondary responsibilities. :- Able to configure and setup NOSQL databases like Mongodb and Cassandra. Ability to learn new technologies along with a team and a positive outlook to understand problems from the business point of view. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Proficiency in database management systems such as , MySQL or NoSQL databases. SQL programming and database design skills. Knowledge of database performance tuning and optimization techniques. Familiarity with database security best practices. Scripting and automation skills (Good to have- Python). Good problem-solving and analytical skills. Excellent communication and teamwork ski

Roles and Responsibilities Installation and configuration of NoSQL instances on single or multiple ports. ? Hands on experience of production on medium to big sized NoSQL databases Setting up and maintaining users and privileges management systems and Troubleshooting relevant access issues. Understand the transaction flowsand ACID compliance. Performing on-call support and should be able to provide the first level support . Configure and setup NOSQL databases like mongodb and Cassandra. Automation of repetitive tasks. Qualifications & Experience 3-6 years of Hands-on experience of working with NoSQL DBA . Some exposure to external tools like Percona , ProxySQL , HAP etc. Understanding of networking concepts . verbal and written communication skills. Experience in tools like shell , python . perl etc for automation. fundamentals on the linux system side and monitoring tools like top , iostats , sar etc. Clear understanding of NoSQL Replication process flows , threads , setting up multi node clusters and basic troubleshooting. Understanding of at least one of the backup and recovery methods for MySQL, fundamentals of SQL. Understand and tune complex SQL queries when needed.

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

Gestalte die Transformation im Kreditgeschäft durch fundierte Business-Analyse, Prozessoptimierung und wirkungsvolle Unterstützung in der Umsetzung. Deine Rolle Als Senior Consultant – Business Analyst im Bereich Credit & Capital Management übernimmst Du eine zentrale Rolle bei der Umsetzung komplexer Transformationsinitiativen für führende Finanzinstitute. Du nutzt Deine Expertise entlang des gesamten Kreditprozesses, um Anforderungen zu analysieren, Zielprozesse zu gestalten und Geschäftsanforderungen in umsetzbare Lösungen zu übersetzen. Die Rolle verbindet fachliche Analyse mit enger Zusammenarbeit über Business-, Technologie-, Risiko- und Operations-Teams hinweg. Deine Aufgaben Analyse und Dokumentation von Geschäftsanforderungen entlang der Kreditprozesse (Origination, Bewertung, Entscheidung, Abwicklung, Monitoring und Restrukturierung) Entwicklung von Fachkonzepten, Prozessmodellen, User Stories und funktionalen Spezifikationen für Initiativen im Kredit- und Kapitalmanagement Übersetzung fachlicher Anforderungen in klare technische Spezifikationen, insbesondere in den Bereichen Daten, Workflows und Systemintegration Zusammenarbeit mit interdisziplinären Teams zur Verbesserung von Effizienz, Kontrollmechanismen und Nutzererlebnis Unterstützung der Umsetzung in Wasserfall- und agilen Projekten, einschließlich Testing, UAT-Koordination und Stakeholder-Abstimmung Dein Profil Mehrjährige Erfahrung als Business Analyst im Finanzdienstleistungsumfeld, idealerweise im Kredit-, Lending- oder Firmenkundengeschäft Fundiertes Verständnis von Kreditprozessen, einschließlich Financial Spreading, Risikobewertung, Kreditgenehmigung, Sicherheiten, Limiten und Monitoring Erfahrung in Transformationsprojekten mit Fokus auf Kreditprozesse, Operating Models oder unterstützende Technologiesysteme Kenntnisse regulatorischer und risikobezogener Themen im Kredit- und Kapitalmanagement (z. B. Basel, IFRS 9, interne Kreditrichtlinien) Ausgeprägte Kommunikations-, Analyse- u

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry's issue platform processes billions of events every day to help millions of developers find and fix bugs. The hard part is deciding which events point to a problem, which belong together, and what a developer needs to know to investigate. As a Senior Software Engineer on the Issue Detection team, you'll design, build, and operate the systems that make those decisions. You'll work on real-time processing pipelines, monitors, and analysis systems that detect problems and turn them into issues. The work combines distributed systems with product engineering. Choices about detection accuracy and processing latency affect which problems developers see and how soon they can act. You'll help shape how developers monitor their applications and how Sentry groups related events into issues. You'll also build the context developers and AI agents need to investigate what went wrong. Keeping these systems reliable and fast as Sentry grows is part of the job, alongside making the issues they produce more useful. In this role you will Build and scale features on a product surface handling billions of events daily, where both query latency and correctness are immediately visible to users. Own the design and delivery of substantial projects end to end, scoping alongside product and design, making the technical calls within your scope, shipping, and instrumenting what you ship so the team can measure it. You will contribute to meaningful technical product decisions : grouping quality, search performance, migrations and backfills against enormous datasets, and making the surface work well for both humans and agents. Champi

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersect

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success. About the department: The Global Compliance Transaction Monitoring Team at Fiduciary Trust Company International helps protect the organization from money laundering, sanctions, and terrorist financing risks. The team monitors client activity, reviews higher-risk transactions, conducts sanctions screening, and supports regulatory reporting requirements. Team members work closely with compliance, risk, and business stakeholders to strengthen the firm’s control environment and support regulatory compliance across global operations. How you will add value? Core Responsibilities: You will administer the GIFTS transaction monitoring platform. You will support the Threat matrix monitoring program. You will conduct Anti-Money Laundering investigations. You will perform quality assurance reviews. You will consolidate alerts and case information. You will maintain search-list profiles within GIFTS. You will oversee daily monitoring operations activities.

The Store Incharge oversees the efficient receipt, storage, and issuance of materials, ensuring adherence to standard operating procedures (SOP) and maintaining material quality. This role coordinates with site store in-charges on material requisitions and vendor deliveries, manages inventory through regular monitoring and timely disposal of non-moving items, and handles financial and documentation management to ensure accurate records. Source: Adani Group | Job ID: 57098