Software engineer developer developer Jobs in US

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] The mission of Speechify is to make sure that reading is never a barrier to learning.Over 50 million people use Speechify's t

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] The mission of Speechify is to make sure that reading is never a barrier to learning.Over 50 million people use Speechify's t

[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people aroun

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] The mission of Speechify is to make sure that reading is never a barrier to learning.Over 50 million people use Speechify's t

[Applicants: Over 200 applicants | Industry: Computers and Electronics Manufacturing | Type: Full-time | Level: Mid-Senior level] SummaryThe Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combin

[Applicants: Over 200 applicants | Industry: Software Development, Financial Services, and Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] About BridgeWe’re creating an entirely new payments platform, built with sta

[Industry: Information Services and Technology, Information and Internet | Type: Full-time | Level: Not Applicable] Note: By applying to this position you will have an opportunity to share your preferred working location from the following:New York, NY, USA; Sunnyvale, CA, USA.Minimum qualifications:Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualifications:Master's degree or PhD in Computer Science or related technical fields.2 years of experience with data structures and algorithms.Experience developing accessible technologies.About The JobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. You will have experience in modeling, evaluation, experimentation, synthetic data generation and improvement of GenAI in real products.

[Applicants: Over 200 applicants | Industry: Technology, Information and Media and Information Services | Type: Full-time | Level: Mid-Senior level] Senior SDET, within Cloud and DevOpsLocations:Calgary, Canada / Lake Forest, CA (50% Hybrid)Type:Ful

You'll work alongside product, design, and other engineers to build products that make learning irresistible—growing your skills while delivering real value to hundreds of thousands of learners.What You'll DoOwn Features End-to-End:You'll take responsibility for features from design through deployment, making sound technical decisions within your domain and delivering high-quality work that helps the team meet its commitments.Build Robust Solutions:Design and implement solutions that work reliably within your area of ownership. You'll write efficient, maintainable code and continuously improve the systems you touch.Contribute to Technical Direction:Participate in design discussions, offer ideas, and help shape the technical approach for your components.

Build data pipeline with AWS services using EC2, ECS, S3, Lambda, RDS, Glue, Stepfunctions, Open Search, API Gateway, Neptune and cloud architecture. Build streaming pipelines using Kafka, Kinesis and snowstreaming API to ingest data to snowflake.QualificationsMinimum education and experience required: Master's degree in Computer Science, or related field of study plus 2 years (24 months) of experience in the job offered or as Software Engineer, Developer, Technical Systems Analyst, or related occupation.

Involve in all aspects of the Software Development Lifecycle including analyzing requirements, incorporating architectural standards into application design specifications, documenting application specifications, translating technical requirements into programmed application modules, and developing or enhancing software application modules. Identify and troubleshoot application code-related issues.