Software Engineer, Backend - Data Platform

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) to help make our hiring process efficient, fair, and transparent, but automation never makes the final call. Every hiring decision is made by real Twilions, ensuring a human touch at every step.

See yourself at Twilio

Join the team as Twilio’s next Software Engineer, Backend - Data Platform.

About The Job

This position is needed to build a highly scalable, reliable, and efficient data platform that makes it easy for users to get deep insights from vast amounts of distributed data. This data platform will be a differentiator for Twilions and our customers.

We are the data backbone for strategic decisions at Twilio. This role will be responsible for delivering key technical decisions to completion for the organization and also guiding other engineers.

Responsibilities

• Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).
• Design and implement efficient data pipelines for the acquisition, storage, and analysis of large datasets.
• Collaborate with cross-functional teams to understand data requirements and implement solutions.
• Ensure the availability and integrity of data pipelines and systems.
• Optimize and fine-tune performance of data solutions.
• Troubleshoot and resolve data-related issues in a timely manner.
• Develop and maintain documentation for data processes and pipelines.
• Stay abreast of emerging technologies and industry trends related to data engineering.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required

• 5–7 years of technical experience in Backend technologies with Data Infrastructure, Data Platforms, and Data Governance.
• Proficiency in high-level programming languages such as Scala, Python, and Java.
• Strong knowledge of metadata management, including data classification, data quality, data lineage, and data cataloging.
• Good understanding of access management models (ABAC, RBAC); hands-on experience with Privacera, Immuta, or Apache Ranger is a plus.
• Technical understanding of needle moving technologies like Kafka, Spark, dbt, Hudi-based data lake, Presto, ETL tools, low-latency data stores, multiple data warehouses and a data catalog.
• Proficiency in working with large datasets and distributed computing frameworks (e.g., Hadoop, Spark).
• Experience in building systems that ensure regulatory compliance (e.g., GDPR, HIPAA, PCI), including automated data deletion and retention workflows.
• Demonstrated technical breadth and depth as evidenced by papers, code, and/or presentations.
• Clear understanding of the software development lifecycle from reviewing requirements to debugging complex systems in production.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Proven experience in software development methodologies.
• Experience working independently and as part of a team. Will take the initiative to drive projects forward even under ambiguous circumstances.
• Experience working in Agile methodology.
• Excellent written and verbal communication skills.

Desired

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Location

This role will be remote and based in India (Karnataka, Maharashtra, New Delhi, Tamilnadu and Telangana).

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Key skills/competency

• Data Architecture
• Data Pipelines
• Backend Technologies
• Distributed Computing
• Scala, Python, Java
• Metadata Management
• Regulatory Compliance
• Cloud Platforms
• Kafka, Spark, dbt
• Agile Methodology