Software Technologist I Full Stack Development Engineer Sala Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks Define, design, engineer, and implement storage and backup hardware and solutions. Define, in conjunction with other support groups and service providers, the functionality required to support business strategies. Work with customers to gather requirements and propose, engineer, and provision storage and backup solutions. Research and partner with vendors and management to select products that best meet company needs. Manage system setup and standardization of features and usage. Create documentation, testing, training, and post-deployment assessments. Adhere to the change management process for any planned maintenance, or when potential issues are identified. Provide training for new team members. Coordinate vendor-specific support and problem resolution. Adhere to Micron’s established processes and policies. Provide 24x7 On-Call technical support and expertise for customer issues and service provider escalation. Willing to work in shifts based on business requirements. Establish and implement policies, procedures, and standards, and ensure conformance. Evaluate and test new storage and backup solutions for compatibility with Micron’s IT environment. Define and adhere to established service and operational level agreements. Collect, monitor, report, and interpret operating metrics. Propose and implement storage and backup system enhancements (software and hardw

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Senior AI Engineer within the Artificial Intelligence Engineering (AIE) organization at Micron Technology, Inc., you will design, develop, deploy, and support business-critical Manufacturing Execution System (MES) and Factory Automation solutions supporting Micron’s Assembly & Test manufacturing operations . In this role, you will work closely with manufacturing engineers, product owners, architects, and business stakeholders to deliver reliable and scalable manufacturing solutions that improve operational efficiency, quality, and productivity. You will leverage your MES domain expertise , software engineering skills, and AI-enabled engineering practices to drive successful solution delivery from requirements through production support. Responsibilities and Tasks Design, develop, test, deploy, and support Manufacturing Execution System (MES) solutions for Assembly & Test manufacturing operations. Work closely with manufacturing users and stakeholders to understand business requirements and translate them into scalable technology solutions. Apply strong knowledge of MES, Factory Automation, manufacturing workflows, equipment integration, and process execution to solve manufacturing challenges. Develop integrations between manufacturing and enterprise systems using APIs, microservices

About the Team pAGI Infra team builds and operates the systems that make large-scale model training and evaluation reliable, efficient, and easy to run. Our work spans distributed training infrastructure, inference and grading platforms, compute scheduling, and research tooling. We partner closely with researchers and engineering teams to turn new research needs into dependable infrastructure, improve GPU efficiency, and shorten the path from an experiment to a validated model. About the Role We’re looking for an AI Systems Engineer to help scale the infrastructure behind our training and evaluation workflows. You’ll own projects from identifying bottlenecks and designing solutions through deployment and operation. The work combines distributed systems engineering, performance optimization, and close collaboration with researchers. You might build a shared grading service, improve resource allocation across workloads, or bring a new training stack into production — directly improving how quickly and reliably research moves forward. In this role, you will: Build and operate infrastructure for large-scale training and evaluation, improving reliability, throughput, and resource efficiency. Develop shared inference and grading platforms with automated capacity management, health monitoring, and visibility into performance. Improve compute scheduling and resource allocation to reduce idle GPU time and help workloads recover quickly from failures. Diagnose bottlenecks across training, inference, and orchestration, and work across teams to improve end-to-end performance. Build self-service tools, automated validation, and observability that help researchers launch experiments, diagnose issues, and compare results with less manual intervention. You might thrive in this role if you: Are excited about the potential of personal AGI and want to build the infrastructure that enables it. Have strong software engineering fundamentals and experience building or operating large-scal

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on service management, helping teams respond to incidents, run on-call, and automate their operations, you will work with practitioners and leaders across the industry and broaden your impact to the SRE, Engineer, DevOps, and Operations community at large. This is a unique opportunity to use both your engineering and creative storytelling skills to shape the landscape in cloud observability, incident response and service management. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Act as a subject matter expert for service management (incident response, on-call, IDP, Work Management, Workflow Automation, Agent Builder, and operational automation) for Datadog's advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader in DevOps, Monitoring, Observability and Security e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more Partner with product engineering teams to build compelling demos, and coach internal engineering teams on effective communication and presentation Interface with open source communities to drive key messaging in the market and develop new integrations for Datadog Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code Who You Are: Approximately 5+ years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer or Software Developer with hands-on experience as an on-call/incident responder and running production systems in complex IT environments You have a strong understanding of core service-management practices

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This is a contract position through our staffing partner Magnit. 108,000.00 - 135,000.00 - 162,000.00 CAD Annual This role is not eligible for the Okta-sponsored benefits listed below. Magnit will provide any locally required benefits. Okta seeks a skilled Senior Recruiter to drive full-lifecycle recruitment and build strategic talent pipelines for our Engineering organization across North America. As part of our AMER Tech Recruiting team, you will be a trusted talent advisor responsible for sourcing, engaging, and delivering top-tier engineering talent while maintaining an "always recruiting" mindset in a fast-paced, high-growth environment. What You'll Be Doing Own full-lifecycle recruitment for Engineering and technical roles (Software Engineering, Site Reliability, Security, TPM, Product) across US & Canada, managing a flexible req load that scales with business priorities. Partner strategically with hiring managers and leadership to understand talent needs, define role scope, advise on talent gap mitigation, and challenge assumptions to ensure hiring decisions strengthen long-term organizational capability. Build and execute talent strategies that balance external hiring with internal mobility, creating sustainable pipelines that reflect commitment to diversity, inclusion, and high-performing engineering culture. Drive metrics-informed recruiting decisions by developing KPIs, analyzing recruiting data, and using insights to optimi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Members of the Partner Solutions Architecture (PSA) team are responsible for providing technical guidance to Stripe’s key strategic partners. Our goal is to drive growth through co-solutioning, education and enablement with our partner organization. PSAs are a critical technical liaison to the Stripe Partner Development Manager and Partners. This involves creating comprehensive technical business plans for Partners, including identifying, incubating and bringing to market service/solution offerings built on or with Stripe. A Partner Solutions Architect is someone who is intellectually curious, motivated to win, open and entrepreneurial. What you’ll do As a dynamic and experienced Global Lead of Partner SA, you will lead our growing team of talented SAs working closely with our Alliances & Channels team. This role will focus on building robust alliances with Independent Software Vendors (ISVs) such as Salesforce, Commerce tools, and AWS, as well as Global System Integrators (GSIs) like Accenture and PWC, on top of other strategic regional partnerships. The ideal candidate will possess a blend of technical leadership and managerial prowess, driving the development and execution of strategic initiatives that foster collaboration and growth. Responsibilities Lead and develop a team of Partner Solutions Architects (PSA), providing guidance on best practices for engaging with partners. Develop and execute strategic plans to enhance the cap

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are in search of a top-tier Senior Revenue Accountant who is highly motivated to learn and grow within a fast-paced organization. This role will work closely with cross functional teams to ensure timely and accurate recording/reporting of revenue in accordance with US GAAP. This role will report into the Revenue Accounting Manager and will focus on supporting the team in the day to day operations of revenue accounting. The ideal candidate has experience in ASC 606 (Revenue from Contracts with Customers), including multiple performance obligation arrangements, complex software revenue transactions, can think strategically from a process perspective. This role requires working the UK/European shift (2:00 PM – 11:00 PM IST) at the Bangalore office, with flexibility to adjust for Daylight Saving Time changes. What you’ll be doing Support operationalization of ASC 606 (Revenue from Contracts with Customers) Partner with cross-functional groups across the business to analyze and launch new products and Go-To-Market (GTM) programs, ensuring proper revenue recognition and system implementation Perform User Acceptance Testing (UAT) for new products and GTM programs Support revenue month-end close activities such as but not limited to: preparing journal entries and reconciliations Prepare support for monthly close package and internal/external quarterly audit requests Review sales contracts to ensure proper revenue recognition in accordance with compan

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences ( Operations Research, Computer Science, Statistic

To help fuel and manage our continued ambitious growth in India we’re currently seeking a Senior Technical Recruiter. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Own and drive full-cycle recruiting for a range of technical roles Understand your business unit’s objectives and challenges and use that information to attract quality candidates Create and execute sourcing strategies resulting in candidate pipelines that meet hiring goals Build strong relationships with Hiring Managers and partner with them on everything from setting recruiting strategies to closing candidates Utilize data-driven insights and recruiting metrics to track pipeline health and inform hiring decisions Work effectively with internal clients to ensure the selection process results in quality hires Ensure candidates have a positive interview experience from the screening process through offer negotiation We’re looking for someone who Has 4+ years of in-house technical recruiting experience Has a subject-matter expertise in recruiting across a variety of technical areas such as back-end systems, cloud products and security Has previous experience in sourcing, recruiting, and closing top technical talent in Gurgaon Has Bachelor's degree and/or equivalent experience Has data-driven mentality and uses data to shape their recruiting strategy Thrives in a fast-paced, team-oriented environment Has excellent verbal and written communication skills About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! We are seeking a high-performing, results-driven Enterprise Sales Director to join our revenue team. In this role, you will be responsible for driving net-new software revenue by selling Bazaarvoice’s suite of enterprise solutions to Fortune 500 Consumer Packaged Goods (CPG), Retail, and E-commerce organizations. You will target senior executive stakeholders—including Chief Marketing Officers, Heads of E-Commerce, Digital Transformation Leaders, and Brand Directors—navigating complex multi-month sales cycles, negotiating high-value annual contracts, and delivering consultati

About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you This is an exciting time to join Remote and make a personal difference in the global employment space as a Payroll Specialist Lead joining our Global Payroll Operations Team . What you bring Payroll management or equivalent experience Knowledge of payroll best practices. Proficient in using software tools like SAP, Excel / Google Sheet. An analytical mindset with great problem-solving abilities. Ability to adapt to a fast-paced, international work environment with a passion for making an impact. Is a productivity geek and will constantly think of ways to improve and speed up their work. You understand the need and ideal to work largely asynchronously. Writes and speaks fluent English It's not required to have experience working remotely, but considered a plus Demonstrates strong automation and AI capabilities and AI fluency. Key responsibilities Act as a true subject matter expert for the country Manage existing relationships with key stakeholder within Payroll Implementation, Finance, Product, Engineers. Process full end to end payroll in-house, statutory

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing GTM Finance team. Our business grows with our customers' usage, which makes the finance function highly strategic at Baseten: growth, pricing, margin, and capacity decisions are business model decisions. You'll sit at the center of them, partnering directly with GTM leadership and reporting into a finance team with a seat at the table for the calls that shape the company's trajectory. This role is ideal for someone with 3 to 7 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based software company is a plus. RESPONSIBILITIES Own financial planning, forecasting, and budgeting processes for the GTM org Build and maintain financial models across revenue, S&M spend, headcount, and strategic bets Analyze the metrics that define a usage-based business – ARR, gross margin, consumption trends, retention, and GTM efficiency Partner with GTM leaders to set targets, evaluate growth initiatives, shape pricing, and design sales compensation Help prepare board materials, investor updates, and fundraising analyses Improve financial reporting, dashboards, and operational rigor so our infrastructure scales as fast as our revenue Work cross-functionally to turn ambiguous business questions int

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. Lyft Urban Solutions powers the bike-sharing and scooter-sharing systems that move millions of people in over 60 cities worldwide. We built North America's first automated bike-share system and continue to lead the micromobility revolution. Our systems operate globally - from Citi Bike in New York to BIXI in Montreal, Divvy in Chicago, Capital Bikeshare in DC, and iconic systems in Austin, Barcelona, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubai, London, Madrid, Mexico City, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto, and beyond. We're not just technology providers - we operate these systems, building the software, hardware, and operations that make urban micromobility work at scale. Ready to shape how millions of people move through their cities every day? The Lyft Urban Solutions (LUS) Firmware Engineer role is key in the development and delivery of Lyft’s micromobility hardware offerings, including electric bikes, scooters, batteries, stations, and more! We are looking for a Firmware Engineer who brings exceptional technical skills to contribute in NPI (New Product Introduction) and fleet sustainability programs that unlock value for the cities across the globe that use our products. Firmware Engineers at Lyft collaborate closely with hardware, operations, and manufacturing teams, necessitating strong technical expertise, leadership, and communication skills. They are proactive problem solvers who drive initiatives forward, ensuring the successful delivery of key results that significantly impact the business. Responsibilities: Develop features for embedded systems across our Micromobility product line(vehicles, docks, internal tools). Work with cross-functional teams to prototype, develop, and take to production, our next generation of world-class mobility produ