Sr Software Engineer II (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Software Engineer II in United States.

In this role, you will contribute to the evolution of advanced backend and data engineering systems that power cutting-edge analytics products. You will work on scalable, high-performance pipelines that extract, process, and deliver complex datasets relied on by customers for critical decision-making. As a member of a multidisciplinary engineering team, you will collaborate with product managers, data scientists, and domain specialists to design efficient algorithms and backend architectures. You will help improve infrastructure, optimize performance, and introduce new capabilities in AI, NLP, and automation. This role offers a dynamic, fast-paced environment where innovation, quality, and reliability are central to success.

Accountabilities:

• Design, implement, and optimize backend components for NLP and large-scale data processing pipelines.
• Work across the full data lifecycle, ensuring performance, reliability, scalability, and maintainability.
• Collaborate with cross-functional teams to deliver new features, enhance infrastructure, and strengthen developer workflows.
• Debug and performance-tune complex distributed systems to ensure resilient operation.
• Support cloud migrations, deployment automation, and continuous integration processes.
• Participate in code reviews, contribute to architectural discussions, and mentor peers within the team.
• Introduce new ideas in AI, automation, and data engineering to enhance product capabilities.

Requirements

• At least five years of experience developing, maintaining, and debugging backend applications or services.
• Strong proficiency in Python for backend or data engineering tasks.
• Experience with Unix or Linux environments, shell scripting, and cloud platforms such as AWS or GCP.
• Solid knowledge of SQL, database design, query optimization, and performance tuning.
• Understanding of modern engineering practices including git, CI/CD pipelines, automated testing, and code reviews.
• Strong analytical and debugging skills with the ability to work on complex, large-scale systems.
• Effective communication skills and comfort working in a cross-functional team.
• Ability to work with or extend Java-based systems.
• Background in NLP, information extraction, or text analytics.
• Experience working with structured and unstructured datasets, Elasticsearch or OpenSearch, Kubernetes, or Ansible is a plus.

Benefits

• Competitive compensation with a U.S. national base pay range of 93,400 to 155,700.
• Flexible working hours and support for maintaining a healthy work-life balance.
• Comprehensive health benefits including medical, dental, and vision coverage.
• Retirement programs including 401(k) matching and an Employee Share Purchase Plan.
• Wellness benefits such as mental health support, Headspace subscription, and various time-off programs.
• Disability, life, accidental death, critical illness, and hospital indemnity insurance options.
• Family benefits including paid bonding leave, family care leave, adoption and surrogacy support.
• Various spending accounts including health savings, dependent care, and commuter plans.
• Paid time off to participate in volunteer activities or Employee Resource Groups.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, such as interviews or additional assessments, are then made by their internal hiring team.
Thank you for your interest!

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