Lead Software Engineer, Opportunity Insights

Jobgether; United States; On-site; USD 190,000 - 205,000; Full time

Benefits offered by this job

Unlimited paid time off

Comprehensive medical, dental, and vision insurance

Employee equity participation program

Pet insurance

Job summary

Jobgether is hiring for a Senior Technical Leader in the United States, focusing on designing and scaling distributed, data-intensive systems for marketing intelligence platforms. The role involves working at the system and architecture level, collaborating with product and engineering teams, and mentoring engineers. Applicants should have over 8 years experience in distributed systems, strong knowledge of AWS and Kubernetes, and proficiency in programming languages like Java or Python. Benefits include a competitive salary and comprehensive insurance coverage.

Qualifications

• 8+ years of experience building and scaling production-grade distributed systems.
• Strong foundation in computer science principles and large-scale architecture design.
• Extensive hands-on experience with AWS services and infrastructure-as-code practices.
• Deep expertise in Kubernetes and containerized microservices.

Responsibilities

• Define, design, and evolve scalable distributed system architectures deployed on AWS and Kubernetes.
• Lead the development of microservices for large-scale data processing workloads.
• Establish engineering standards and best practices for building performant services.
• Collaborate with leadership to translate business strategy into technical roadmaps.

Skills

Distributed systems

Cloud-native environments

Microservices architectures

AWS services

Data infrastructure technologies

Java, Python, Ruby

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS (EKS, EC2, S3, RDS)

Kubernetes

Kafka

Elasticsearch

Job description

This role is a senior technical leadership position focused on designing and scaling distributed, data‑intensive systems that power large‑scale marketing intelligence and analytics platforms. You will operate at the system and architecture level, defining long‑term technical direction while ensuring reliability, performance, and scalability across complex cloud‑native environments. The position involves building and evolving high‑throughput services that process massive datasets in real‑time and batch modes. You will work closely with product, data science, and engineering leadership to translate business goals into robust technical solutions. The environment is highly collaborative and innovation‑driven, with strong emphasis on engineering excellence and system ownership. In this role, you will also mentor engineers and influence best practices across teams while delivering critical platform capabilities that support advanced data and AI‑driven products.

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.