Accountabilities:

As a Principal Software Engineer, you will serve as a technical authority responsible for architecture, engineering excellence, and the delivery of sophisticated software and AI solutions. You will translate strategic architectural direction into practical implementations, lead complex cross-functional initiatives, and ensure the long-term performance, scalability, security, and reliability of critical systems.

Drive technical strategy and architectural decisions across one or more product lines, ensuring alignment with enterprise architecture, engineering standards, and business objectives.

Own end-to-end product-line architecture, designing scalable, reliable, secure, and maintainable systems that follow broader organizational guidelines.

Translate high-level architectural strategies into actionable technical designs and implementation plans for engineering teams.

Lead complex, high-impact technical initiatives involving multiple teams, systems, and product components.

Establish and reinforce engineering best practices, architectural patterns, and design standards to ensure consistency and quality across teams.

Collaborate with architects to implement and refine technical direction, providing feedback based on practical engineering constraints and production system behavior.

Resolve highly complex technical challenges involving system scale, ambiguity, performance, and cross-team dependencies.

Lead architectural and design reviews, evaluating solutions against long-term scalability, performance, reliability, and maintainability requirements.

Influence technical prioritization and engineering trade-offs, balancing business needs with architectural standards and long-term objectives.

Mentor and develop senior and staff-level engineers, strengthening technical decision-making, system design capabilities, and engineering excellence.

Identify and address systemic risks, technical debt, performance bottlenecks, and operational inefficiencies across product lines.

Drive improvements in system reliability, observability, monitoring, and operational excellence.

Evaluate and introduce new technologies, ensuring their adoption supports architectural standards and long-term technical strategy.

Champion application security by implementing security strategies, identifying vulnerabilities, and coordinating remediation efforts based on security scans and penetration testing results.

Collaborate with Product, Quality Assurance, Support, Cloud, Architecture, Infrastructure, and Data Science teams to ensure cohesive delivery and high-quality outcomes.

Act as the primary technical authority for assigned product lines, designing transformative solutions with broader organizational impact.

Architect reliable data pipelines with clearly defined data contracts, schema evolution strategies, end-to-end data lineage, versioning, and idempotent processing.

Build and productionize document processing and information extraction pipelines, agentic AI applications, and automated evaluation frameworks.

Establish end-to-end observability across data quality, pipeline reliability, model performance, and inference costs, including longitudinal metrics and automated regression detection.

Optimize model selection and inference orchestration to balance output quality, latency, throughput, and operational costs.

Partner with Data Science, Architecture, and Infrastructure teams to develop reusable engineering patterns, shared tools, and clear operational ownership.

Requirements:

The ideal candidate is a highly experienced software engineering leader with extensive expertise in distributed systems, backend technologies, cloud platforms, and modern data architectures. You should have a proven ability to own complex technical architectures, guide engineering teams, and transform emerging AI and machine learning capabilities into reliable production solutions. Strong strategic thinking, technical judgment, and collaboration skills are essential.

Bachelor's degree in Information Systems, Computer Science, Engineering, or a related discipline, or equivalent professional experience.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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