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Cache Jobs in Massachusetts (NOW HIRING)

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 ...

Staffingine LLC

Java Microservices Developer

Boston, MA · On-site

$55.50 - $71.75/hr

Utilize Azure Event Hub, Event Grid, and Redis Cache for real-time data processing and caching. * Develop and maintain RESTful APIs with a focus on extensibility, portability, and security. * Apply ...

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How much do cache jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for cache in Massachusetts is $18.94, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $18.89 per hour, depending on experience, location, and employer.

What is the difference between Cache vs Data Analyst?

AspectCacheData Analyst
Required CredentialsTypically no formal certification, but knowledge of caching systemsBachelor's degree in statistics, data science, or related field
Work EnvironmentIT, software development, system administrationBusiness, finance, marketing, IT
Industry UsageTechnology, software, web developmentBusiness intelligence, marketing, finance
Common Search/ComparisonYesNo

Cache professionals focus on optimizing data storage and retrieval in IT systems, while Data Analysts interpret data to support business decisions. Although both roles involve working with data, their skills, environments, and objectives differ significantly.

What are some typical challenges faced by Cache Administrators, and how can they be addressed?

Cache Administrators often encounter challenges such as maintaining optimal cache performance, troubleshooting cache-related bottlenecks, and ensuring data consistency between cache and primary data stores. Addressing these challenges involves regularly monitoring cache usage, tuning cache configurations, and implementing effective cache eviction strategies. Collaboration with developers and database administrators is key to ensuring that the caching layer aligns with application requirements, supports scalability, and minimizes data inconsistencies.

What jobs pay 4000 a week without a degree?

High-paying jobs that can pay around $4,000 a week without a degree include roles such as commercial truck drivers, real estate brokers, and certain skilled trades like electricians or plumbers. These positions often require specialized training, certifications, or experience but do not necessarily require a college degree.

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

To thrive as a Cache Administrator, you need expertise in database management, performance tuning, and a solid understanding of InterSystems Caché or similar database platforms, often supported by relevant certifications or experience. Familiarity with Caché ObjectScript, SQL, and system administration tools is typically required. Strong problem-solving skills, attention to detail, and effective communication help you address issues proactively and collaborate with IT teams. These skills ensure optimal database performance, reliability, and support for critical business applications.

What is a cache in computing?

A cache in computing refers to a hardware or software component that stores data so that future requests for that data can be served faster. Caches are commonly used to temporarily hold frequently accessed information, reducing the time it takes to retrieve data from slower storage areas or remote servers. For example, web browsers use cache to store web pages, images, and other resources to speed up page loading. Similarly, processors use cache memory to store instructions and data that are repeatedly accessed, improving overall system performance.

What hot tech job pays $775 000?

High-level roles such as senior software engineers, machine learning engineers, and data architects in the tech industry can reach salaries around $775,000, especially with extensive experience, specialized skills, and stock options. These positions often require advanced technical expertise, certifications, and leadership responsibilities in fast-growing companies or tech giants.

How to make 2000 a week working from home?

For a cache-related role or similar work-from-home jobs, earning $2000 weekly typically requires high-paying positions such as senior technical roles, specialized consulting, or freelance work with high hourly rates. Developing in-demand skills, gaining relevant certifications, and building a strong client base or network can help achieve this income level, often through flexible schedules and remote work environments.

What is the 70 30 rule in hiring?

The 70/30 rule in hiring suggests that 70% of the hiring decision should be based on skills, experience, and qualifications, while 30% should consider cultural fit and soft skills. For roles like a cache or technical position, assessing both technical proficiency and interpersonal abilities is important for effective team integration.
What are popular job titles related to Cache jobs in Massachusetts? For Cache jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Cache jobs in Massachusetts look for? The top searched job categories for Cache jobs in Massachusetts are:
Cache jobs near you
Infographic showing various Cache job openings in Massachusetts as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $39,389 per year, or $18.9 per hour.

Senior Engineer, Inference Data Plane

DigitalOcean

Boston, MA • Remote

$139K - $174K/yr

Other

Posted 10 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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