Ask HN: Who wants to be hired? (April 2026)

Technologies: - Languages: Golang, Python, Java, JavaScript, TypeScript - Frontend: React, Next.js, Vue.js, Angular, Tailwind CSS,MUI - Backend & Architecture: Golang (Gin, Echo, gRPC), Microservices, Event-Driven architecture, REST & GraphQL APIs, Domain-Driven Design (DDD), CQRS, Async Messaging, Node.js, Nest.js, API Design - Cloud & DevOps: Docker, Kubernetes, Helm, AWS (ECS, Lambda, S3, RDS, CloudWatch), Terraform, GitHub Actions, Jenkins, CI/CD pipelines - Data & Messaging: PostgreSQL, MongoDB, Redis, Kafka, RabbitMQ, MySQL, Supabase, Relational Databases, Non-relational Databases - Observability & Security: Prometheus, Grafana, OpenTelemetry, Jaeger, API Security, OAuth2, JWT, Role-based Access Controls - Professional Practices & Paradigms: Agile/Scrum, Code Reviews, System Design, Mentorship, Reactive Programming, Object-Oriented Programming (OOP)

Résumé/CV: https://drive.google.com/file/d/1Yf9kVYfOrrSqFXMawe5D5hWVjf2... Linkedin: https://www.linkedin.com/in/d-johnson-3810553ba Email: dillonjohnson971222@gmail.com

I am a senior Back-End engineer with 8+ years of experience building scalable microservices and distributed systems on AWS. I specialize in Node.js, NestJS, and Go, with a strong focus on designing clean, well-documented APIs (Swagger/OpenAPI) and event-driven architectures.

I’ve worked extensively with DDD and CQRS patterns, helping teams structure complex systems that are maintainable and easy to scale. In previous projects, I’ve improved system reliability and reduced latency by up to 40% through optimized AWS Lambda integrations, containerized CI/CD pipelines, and solid testing strategies (unit + integration).

My background also includes fintech solutions, where I’ve implemented wallet systems, KYC workflows, and secure, high-performance backend services within agile environments.

I enjoy working on challenging problems, optimizing performance, and building systems that scale reliably in production.

Willing to relocate: No

Technologies: TypeScript, JavaScript, Node.js, React, AWS (CDK, Lambda, API Gateway, S3, ECS), PostgreSQL, MongoDB, Docker, Python, OpenAI API, LangChain, Mastra, Ruby, Sinatra

Résumé/CV: Available by request

Email: rtlo9962@gmail.com

Software engineer focused on cloud infrastructure, developer tooling, and AI-powered applications. Career changer; practiced law for several years before switching to engineering full-time.

Most recently I worked at Mastra, an open-source TypeScript framework for AI agents and workflows. I built the PostHog and Datadog observability exporters bridging OpenTelemetry spans with AI analytics, implemented the Azure OpenAI provider with OAuth2 token caching, and resolved critical state propagation issues in Model Context Protocol (MCP) workflows.

I also created Nimbus (https://nimbusnlp.github.io/), an open-source framework that simplifies deploying lightweight NLP models to AWS. TypeScript CLI + AWS CDK to automate provisioning of serverless infrastructure (Lambda via Docker). Takes what used to be 35+ manual steps down to a single command.

I also built RAGCast, a full-stack RAG application that lets users query and get context-aware answers from podcast transcripts using OpenAI, LangChain, and pgvector.

Previously contributed to Mozilla Firefox, enabling extension developers to manually trigger update checks for faster delivery of security patches, with safeguards to prevent keyboard shortcut conflicts.

Open to remote, or hybrid in NYC/CT.

Remote: Yes

Willing to relocate: Yes

Technologies: Golang (Go), C, Python, Java, SQL, git, Docker, Linux/POSIX, Internet & web dev, cloud IaaS, distributed, concurrency & threading, performance & scalability, some math & ML

Résumé/CV: https://github.com/mkramlich/portfolio/raw/refs/heads/master...

Email: groglogic+hn2026apr@gmail.com

programming for decades. solid fundamentals. troubleshooter. tech lead/arch. SRE-ish. solved legacy Heisenbugs & shipped, many times.

author of perf cheatsheet

writing book on HPC

US citizen, native English

ex Orbitz on core tech (JVM, GC, perf regress follow-up, ops, logs, instrum, caches, sessions, threads, db conns)

research & due diligence for US State Dept on public defenses against foreign adversarial propaganda & disinfo (ie. natsec) game engine creator & toolmaker since kid. once built small sw biz

recent client: sys prog R&D on mem alloc latency & SEGV resilience. C on Linux. delivered code, benchmarks, diagrams & report on how to upgrade perf & avail of their soft-RT (micros mattered), $-impacting backend

LatLearn: FOSS Golang latency instrum & reporting lib

  Location: New York, USA
  Remote: Open
  Willing to relocate: Yes
  Technologies: Rust/Go/C/Python, Operating Systems, Distributed Systems, Cloud (Private and Public), Virtualization, Supply-Chain Security
  Résumé/CV: https://stupendoussuperpowers.github.io/sanchit_sahay.pdf
  Email: ss19723@nyu.edu

Currently, I'm a part of NYU's Secure Systems Lab, contributing to both Lind-Wasm and SBOMit (OpenSSF). On Lind, I focus on designing and optimizing core components of a POSIX-compliant, memory-safe kernel microvisor. With SBOMit, I work on extending traditional Software Bill of Materials by incorporating build-time data for greater accuracy and insight. I've presented this work at KubeCon + CloudNativeCon (NA 2025), and it has also been accepted as a talk at PyCon (US 2026).

I'm open to a broad range of software engineering roles, with a strong preference for systems and low-level work.