Lead Software Engineer, Opportunity Insights

Accountabilities:

• Define, design, and evolve scalable distributed system architectures deployed on AWS and Kubernetes (EKS), ensuring long-term performance and reliability.

• Lead the development of microservices and data-intensive systems handling large-scale batch and real-time data processing workloads.

• Establish engineering standards, architectural patterns, and best practices for building resilient, observable, and highly performant services.

• Collaborate with Product, Data Science, and Engineering leadership to translate business strategy into technical roadmaps and platform evolution plans.

• Drive cross-team architectural initiatives, influencing system design decisions beyond the immediate team scope.

• Optimize data pipelines and storage strategies across relational databases, NoSQL systems, and streaming technologies.

• Mentor engineers, raise the bar for system design and code quality, and provide technical leadership through design reviews and hands-on example.

• Ensure end-to-end ownership of critical platform components, focusing on scalability, maintainability, and operational excellence.

Requirements:

• 8+ years of experience building and scaling production-grade distributed systems.

• Strong foundation in computer science principles, distributed systems, and large-scale architecture design.

• Extensive hands-on experience with AWS services including EKS, EC2, S3, RDS, IAM, Lambda, and CloudWatch, as well as infrastructure-as-code practices.

• Deep expertise in Kubernetes and containerized microservices architectures.

• Experience designing and operating systems that handle large-scale data (streaming, batch processing, high-throughput services).

• Strong knowledge of data infrastructure technologies such as Kafka, Elasticsearch, and NoSQL databases (e.g., Aerospike).

• Proficiency in Java, Python, Ruby, or similar object-oriented programming languages.

• Experience designing APIs and service communication layers (REST, gRPC, or similar).

• Proven ability to lead technical design discussions and influence engineering direction across teams.

• Strong problem-solving skills and ability to operate independently in fast-paced, high-impact environments.

• Experience or familiarity with AI-assisted development tools is a plus.

• Bachelor’s or Master’s degree in Computer Science or related field preferred.

Benefits:

• Competitive salary range of $190,000 – $205,000 depending on location and experience

• Unlimited paid time off

• Comprehensive medical, dental, and vision insurance coverage

• Employee equity participation program

• Employee discounts and wellness programs, including virtual classes

• Pet insurance and additional lifestyle benefits

• Opportunity to work on large-scale, AI-driven data and analytics systems

• Inclusive and collaborative engineering culture focused on innovation and impact

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?

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