Description

Hybrid at least 2 days per week in office in Boston, MA

Our client seeks a Lead Software Engineer to drive design, delivery, technical strategy, and execution for critical data systems. You will define engineering standards, influence long-term platform direction, mentor junior engineers, and ensure the platform scales securely and reliably to support business growth. You will work across the stack to build cloud-native, event-driven, and data-intensive solutions that enable data-driven, omnichannel consumer experiences.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $85.00 to $90.00/hr. w2

JN -062026-107413

Responsibilities

Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven applications for scalable and resilient systems.
Work hands-on across Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases.
Lead technical initiatives for performance, scalability, reliability, security, governance, and cost efficiency.
Partner with global engineering, product management, architecture, and business stakeholders to align solutions with objectives.
Own the end-to-end SDLC including requirements, design, development, deployment, observability, and documentation.
Mentor junior engineers and promote a culture of innovation, accountability, collaboration, and technical excellence.

Experience Requirements

8-10 years of software engineering experience with expertise in scalable UX-driven applications and distributed systems.
Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
Experience with Data Warehousing, Data Lakes, Delta Lake, and modern big data ecosystem designs.
Strong hands-on expertise in Python, Java, and Angular with knowledge of object-oriented design patterns and functional programming.
Expertise in PySpark and Apache Spark for high-performance distributed data processing.
Depth in microservices development with Kubernetes containerization for eventing and serving.
Extensive AWS experience including S3, Lambda, API Gateway, and EventBridge.
Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, and databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
Hands-on experience with IaC tools such as Terraform and Ansible.
Strong understanding of CI/CD and DevOps using Jenkins, GitHub/GitLab, Bitbucket, and GoCD.
Experience implementing unit, integration, and regression testing and following engineering best practices.
Strong critical thinking and analytical skills for diagnosing and solving complex technical problems.
Exposure to Generative AI, including LLMs, RAG architectures, and agentic AI systems.
Nice to have: PySpark with Databricks, Azure or GCP, and experience building privacy-safe data platforms, CDPs, or MarTech environments.

Education Requirements

B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.

Job description