Staff, Software Engineer (L4)
Twilio
Staff, Software Engineer (L4)
Job Description
Staff, Software Engineer (L4) at Twilio
Twilio powers the future of communications with cloud APIs for SMS, voice, video, and more. Join us to build scalable solutions for global developers!
Key Responsibilities
- Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
- Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
- Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
- Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
- Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software development, or a related field.
- Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems.
- Experience designing, building, and operating large-scale systems using AWS technologies.
- Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail.
- Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats.
- Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
- Strong leadership skills, with a track record of mentoring and developing junior engineers.
- Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.
Key Skills
- distributed systems
- data technologies
- software engineering skills
- big data technologies (Hadoop, Spark, Kafka)
- AWS technologies
- programming languages (Python, Java, Scala)
- problem-solving skills
- attention to detail
- Data Lakehouse architectures (Hudi, Iceberg, Delta)
- communication and collaboration skills
Preferred Qualifications
- Contributions to OSS projects is a bonus
- Familiarity with data modeling, data warehousing, and ETL processes is a plus.
Twilio Benefits
- competitive pay
- generous time off
- ample parental and wellness leave
- healthcare
- a retirement savings program
- health care insurance
- 401(k) retirement account
- paid sick time
- paid personal time off
- paid parental leave
Salary Range
$1,67,800 - $2,46,700 USD annually
Job Summary
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process ...
Twilio Jobs | Cloud Communications | API Developer | Remote Tech Jobs | VoIP SMS Careers
Locations
- - US, United States (Remote)
Salary
167,800 - 246,700 USD / yearly
Skills Required
- distributed systemsintermediate
- data technologiesintermediate
- software engineering skillsintermediate
- big data technologies (Hadoop, Spark, Kafka)intermediate
- AWS technologiesintermediate
- programming languages (Python, Java, Scala)intermediate
- problem-solving skillsintermediate
- attention to detailintermediate
- Data Lakehouse architectures (Hudi, Iceberg, Delta)intermediate
- communication and collaboration skillsintermediate
- leadership skillsintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field. (experience)
- 8+ years of experience in software development, or a related field. (experience)
- Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. (experience)
- Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems. (experience)
- Experience designing, building, and operating large-scale systems using AWS technologies. (experience)
- Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail. (experience)
- Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats. (experience)
- Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams. (experience)
- Strong leadership skills, with a track record of mentoring and developing junior engineers. (experience)
- Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines. (experience)
Preferred Qualifications
- Contributions to OSS projects is a bonus (experience)
- Familiarity with data modeling, data warehousing, and ETL processes is a plus. (experience)
Responsibilities
- Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
- Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
- Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
- Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
- Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
Benefits
- general: competitive pay
- general: generous time off
- general: ample parental and wellness leave
- general: healthcare
- general: a retirement savings program
- general: health care insurance
- general: 401(k) retirement account
- general: paid sick time
- general: paid personal time off
- general: paid parental leave
Travel Requirements
0%
Tags & Categories
Staff, Software Engineer (L4)
Twilio
Staff, Software Engineer (L4)
Job Description
Staff, Software Engineer (L4) at Twilio
Twilio powers the future of communications with cloud APIs for SMS, voice, video, and more. Join us to build scalable solutions for global developers!
Key Responsibilities
- Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
- Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
- Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
- Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
- Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software development, or a related field.
- Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems.
- Experience designing, building, and operating large-scale systems using AWS technologies.
- Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail.
- Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats.
- Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
- Strong leadership skills, with a track record of mentoring and developing junior engineers.
- Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.
Key Skills
- distributed systems
- data technologies
- software engineering skills
- big data technologies (Hadoop, Spark, Kafka)
- AWS technologies
- programming languages (Python, Java, Scala)
- problem-solving skills
- attention to detail
- Data Lakehouse architectures (Hudi, Iceberg, Delta)
- communication and collaboration skills
Preferred Qualifications
- Contributions to OSS projects is a bonus
- Familiarity with data modeling, data warehousing, and ETL processes is a plus.
Twilio Benefits
- competitive pay
- generous time off
- ample parental and wellness leave
- healthcare
- a retirement savings program
- health care insurance
- 401(k) retirement account
- paid sick time
- paid personal time off
- paid parental leave
Salary Range
$1,67,800 - $2,46,700 USD annually
Job Summary
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process ...
Twilio Jobs | Cloud Communications | API Developer | Remote Tech Jobs | VoIP SMS Careers
Locations
- - US, United States (Remote)
Salary
167,800 - 246,700 USD / yearly
Skills Required
- distributed systemsintermediate
- data technologiesintermediate
- software engineering skillsintermediate
- big data technologies (Hadoop, Spark, Kafka)intermediate
- AWS technologiesintermediate
- programming languages (Python, Java, Scala)intermediate
- problem-solving skillsintermediate
- attention to detailintermediate
- Data Lakehouse architectures (Hudi, Iceberg, Delta)intermediate
- communication and collaboration skillsintermediate
- leadership skillsintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field. (experience)
- 8+ years of experience in software development, or a related field. (experience)
- Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. (experience)
- Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems. (experience)
- Experience designing, building, and operating large-scale systems using AWS technologies. (experience)
- Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail. (experience)
- Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats. (experience)
- Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams. (experience)
- Strong leadership skills, with a track record of mentoring and developing junior engineers. (experience)
- Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines. (experience)
Preferred Qualifications
- Contributions to OSS projects is a bonus (experience)
- Familiarity with data modeling, data warehousing, and ETL processes is a plus. (experience)
Responsibilities
- Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
- Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
- Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
- Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
- Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
Benefits
- general: competitive pay
- general: generous time off
- general: ample parental and wellness leave
- general: healthcare
- general: a retirement savings program
- general: health care insurance
- general: 401(k) retirement account
- general: paid sick time
- general: paid personal time off
- general: paid parental leave
Travel Requirements
0%
Tags & Categories