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Cache Programmer Jobs in Boston, MA (NOW HIRING)

Staffingine LLC

Java Microservices Developer

Boston, MA · On-site

$55.50 - $71.75/hr

Job Title: J ava microservices developer Job Location: Boston, MA Job Type: Contract * Design ... Utilize Azure Event Hub, Event Grid, and Redis Cache for real-time data processing and caching.

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Knowledge of cache and cache coherency architectures and concepts * Experience with NoC or other interconnect fabrics * Familiarity with industry-standard bus protocols (AXI, AHB, APB, CHI) * Ability ...

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Knowledge of cache and cache coherency architectures and concepts * Experience with NoC or other interconnect fabrics * Familiarity with industry-standard bus protocols (AXI, AHB, APB, CHI) * Ability ...

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Knowledge of cache and cache coherency architectures and concepts * Experience with NoC or other interconnect fabrics * Familiarity with industry-standard bus protocols (AXI, AHB, APB, CHI) * Ability ...

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Knowledge of cache and cache coherency architectures and concepts * Experience with NoC or other interconnect fabrics * Familiarity with industry-standard bus protocols (AXI, AHB, APB, CHI) * Ability ...

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Knowledge of cache and cache coherency architectures and concepts * Experience with NoC or other interconnect fabrics * Familiarity with industry-standard bus protocols (AXI, AHB, APB, CHI) * Ability ...

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Cache Programmer information

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How much do cache programmer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for cache programmer in Boston, MA is $42.95, according to ZipRecruiter salary data. Most workers in this role earn between $27.93 and $55.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cache programmer, and why are they important?

To excel as a Cache Programmer, you need solid experience with the MUMPS (or M) programming language, a thorough understanding of database design, and familiarity with InterSystems Cache technology. Proficiency with Cache Studio, ObjectScript, and relevant certifications from InterSystems are often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex requirements into reliable code. These skills ensure robust application performance, data integrity, and efficient collaboration within healthcare or financial IT environments where Cache is prevalent.

What is a Cache programmer?

Cache Programmers are software developers who specialize in designing, implementing, and optimizing caching mechanisms within computer systems or applications. Their primary role is to improve system performance by reducing access times to frequently used data, often working with technologies like in-memory caches, distributed caches, or hardware-level cache management. They analyze system bottlenecks, select suitable caching strategies, and ensure data consistency and reliability. Cache Programmers may also collaborate with other engineers to integrate caching solutions that scale with application demands.

What are some common challenges Cache programmers face when integrating InterSystems Caché with other systems?

Cache Programmers often encounter challenges when integrating InterSystems Caché with external databases or applications, such as handling data format differences and ensuring seamless data synchronization. These integrations can require a strong understanding of both Caché ObjectScript and the APIs or protocols of the other systems involved. Effective troubleshooting and communication with other technical teams are essential, as is staying updated on best practices for secure and performant data exchange. Being proactive in documenting integration workflows can also help mitigate future issues.
What are popular job titles related to Cache Programmer jobs in Boston, MA? For Cache Programmer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Cache Programmer jobs in Boston, MA look for? The top searched job categories for Cache Programmer jobs in Boston, MA are:
Cache Programmer jobs near you
Infographic showing various Cache Programmer job openings in Boston, MA as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, 11% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $89,340 per year, or $43 per hour.

Senior Engineer, Inference Data Plane

DigitalOcean

Boston, MA • Remote

$139K - $174K/yr

Full-time

Posted 19 days ago

Job description

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Data Plane team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You'll Do:
  • Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
  • System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
  • Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
  • Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
  • Distributed Serving at Scale: Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve, KServe) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models.
  • Flow Control & Load Balancing: Solve the distributed-systems problems unique to LLM serving - inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead.
  • Open Source Contributions: Contribute upstream to llm-d, vLLM, and the inference gateway ecosystem, and represent DigitalOcean in these communities.
  • Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
  • Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.
What You'll Bring to DigitalOcean:
  • AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or TensorRT.
  • Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
  • Inference Engine Depth: Hands-on experience with vLLM or alternatives (SGLang, TensorRT-LLM, TGI, Modular MAX), including internals like continuous batching, paged attention, and prefix caching.
  • Distributed Inference Fluency: Understanding of why cluster-scale serving is hard: KV-cache locality is partitioned across workers, naive round-robin routing destroys cache hit rates and tail latency, and disaggregated prefill/decode requires fast cross-pod KV transfer (e.g., NIXL).
  • Upstream Track Record: Merged contributions to vLLM, llm-d, SGLang, or similar projects strongly preferred.
  • Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
  • Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
  • Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
  • Open Source Mindset: Experience integrating and building with open-source software.
Compensation Range: 
  • $139,200 - $174,000

*This is a remote role

JR: 2026-7624

#LI-Remote

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