Tech Lead - Software Engineer

Heitmeyer Consulting

United States

about 1 month ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.heitmeyerconsulting.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Code Review Continuous Integration DevOps Distributed Systems MongoDB NoSQL Redis Strategies of Testing AWS Cdk

+9 more

Backend Event Driven Architecture Kubernetes Cloud Migration Terraform Serverless Computing Docker Legacy Systems Microservices

Job description

Heitmeyer Consulting is seeking a hands-on Java Tech Lead to drive end-to-end modernization of backend systems-transitioning from legacy/on-prem platforms to AWS-based, cloud-native architectures. This role combines deep technical expertise, architectural ownership, and team leadership, with a focus on building scalable, resilient, event-driven microservices in a highly regulated financial environment., + APIs and service interfaces

Data models (relational + NoSQL)
Messaging patterns and integrations
Ensure systems are secure, scalable, and highly available, * Ensure systems meet expectations for:
Performance, availability, and resiliency
Implement:
Monitoring, alerting, and observability standards
Testing strategies (unit, integration, contract)

Requirements

8-10+ years of backend software engineering experience
Strong expertise in Java or JVM-based technologies
Proven experience building microservices and REST APIs
Hands-on experience with AWS (compute, messaging, storage)
Experience with event-driven architectures (pub/sub, messaging systems), + Scalable, resilient backend services
APIs, data models, and messaging solutions, * Proven experience as a Tech Lead or senior technical leader
Ownership of service-level architecture and production systems
Strong collaboration across engineering, product, and platform teams
Experience mentoring developers and driving engineering best practices, + CI/CD pipelines and automation
Testing strategies (unit, integration, contract)
Strong “build it / run it” mindset
Production support, on-call, incident management
Knowledge of observability, monitoring, and reliability practices, + Docker, Kubernetes (EKS), ECS, or serverless (Lambda)
Infrastructure as Code (Terraform, AWS CDK)
Domain-Driven Design (DDD) concepts
Experience with NoSQL databases (MongoDB, Redis)
Familiarity with API gateways (Apigee, Kong)
Experience with observability tools (Datadog, New Relic, Prometheus)
Experience in regulated environments (banking, PCI, SOX)
Exposure to AI-assisted / agentic development practices