Senior Software Engineer ( Real- Time, Scalable Cloud Services) Position Available In Palm Beach, Florida

Lamark Media (“Lamark”) is an innovative digital marketing firm driven by a commitment to delivering exceptional results for our clients. Our approach is grounded in creating custom omni-channel strategies that maximize performance and drive measurable success. At Lamark, our mission is to generate unparalleled value for our clients through strategic digital marketing initiatives. We strive to exceed expectations and foster success through collaborative partnerships. Job Summary We are seeking a Senior Software Engineer with a proven track record in designing, developing, and optimizing real-time, high-frequency, high-throughput, low-latency cloud services. This role is ideal for an experienced engineer who thrives in high-scale distributed systems and is passionate about performance, reliability, and maintainability. You will be responsible for designing system architecture, leading complex development efforts, mentoring engineers, and ensuring that our cloud-based services operate at peak efficiency and reliability. This role requires a deep understanding of real-time systems architecture, distributed computing, and cloud operations best practices. Key ResponsibilitiesArchitect & Develop Scalable Services – Design and implement highly efficient, real-time cloud services that scale to millions of requests per second with minimal latency.

Optimize System Performance – Continuously improve system performance, observability, and resilience using best-in-class monitoring, debugging, and optimization techniques.

Ensure High Availability & Reliability – Develop fault-tolerant, resilient, self-healing, auto-scaling, and highly available cloud services with an emphasis on horizontal scalability.

Lead & Mentor – Provide technical leadership, mentor junior engineers, and drive engineering excellence through code reviews, best practices, and knowledge sharing.

Architect & Optimize Cloud Infrastructure – Design cloud-native architectures with Digital Ocean (preferred), while also considering AWS, GCP, or Azure environments.

Implement Best Practices for Distributed Systems – Utilize event-driven architectures, microservices, and caching strategies to maximize efficiency.

Enhance DevOps & Automation – Improve deployment pipelines, implement CI/CD best practices, and advocate for infrastructure-as-code (IaC) automation using Terraform, Ansible, or similar tools.

Security & Compliance – Ensure cloud security best practices are followed, including encryption, authentication, and compliance requirements.

Minimum Qualifications:

5+ years of experience in software engineering, designing and maintaining real-time, low-latency, high-throughput cloud services.

Expert-level proficiency in Kotlin, Python, Javascript / Typescript / React or comparableGo or Rust experience is a strong plusDeep understanding of real-time systems architecture, including:

Event-driven and asynchronous processing modelsMessage queues & pub/sub architecturesConcurrency, parallelism, and thread safetyEfficient memory and CPU usage optimizationCloud deployment supporting real-time systems, e.g. load-balancing, proxies, related.

Experience in designing and maintaining large-scale distributed systems.

Strong background in cloud infrastructure (Digital Ocean preferred, AWS/GCP/Azure also valued).Proficiency in Linux system operations, networking, and performance tuning.

Experience with monitoring and logging tools (Grafana, Prometheus, Kibana, Splunk).Strong understanding of database performance tuning (SQL and NoSQL).Experience with containerization and orchestration (Docker, Kubernetes).Expertise in debugging and profiling distributed applications to resolve bottlenecks, race conditions, and scaling issues.

Experience leveraging ML coding assistant tools, scrutinizing, and thoroughly testing ML-generated code to ensure accuracy and completeness, while accelerating development cycles.

Nice-to-Have Skills:

Experience with edge computing, CDN, and real-time data streaming.

Hands-on knowledge of in-memory data storage and distributed caching strategies (Redis, Memcached).Deep understanding of performance tuning applications and cloud infrastructure.

Background in high-performance networking (WebSockets, gRPC, Protobuf, QUIC, etc.).Experience with ML-powered performance optimization (optional but valued).Perks and Benefits Incredible company culture – we are passionate about the impact we make every day, we balance freedom with responsibility, and we aim for a consultative, transparent, and communicative approach in both our internal and client relationshipsDiverse and forward-thinking environmentGreat career growth opportunity—you’ll have direct access to agency leadershipCompany-assisted medical insurance programs, life insurance, optional vision and dental insurance programs, and short-term and long-term disability insurance are offered401(k) with employer matching EAP and many other supplemental benefitsTraining and development opportunities 

PLEASE NOTE

As a company, we take hiring very seriously. Interviewing with Lamark Media may include phone/video interviews, written projects, and/or on-site interviews. Although we are unable to follow up with each and every applicant, we do our best to run a thorough process for candidates with whom we identify a potential fit. Lamark Media is an equal employment opportunity employer. Candidates are selected based on qualifications and defined requirements of the job, not on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin or any other protected status. Further, Lamark Media encourages United States’ Veterans and persons with disabilities to apply for positions for which they are qualified.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.