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

Remote: Yes

Willing to relocate: No

Technologies: AWS, GCP, TLA+, Linux, Python, Go, Haskell

CV: Available upon request

Email: clavoie _at_ sandreckoning _dot_ com

Focus: high-stakes engineering where failure is not an option. Core work: rescuing stalled or non-functional AI/ML projects; sourcing and vetting qualified engineers, drawing on years of hiring the best talent and over a thousand interviews; and applying formal methods to build systems whose correctness is provable rather than hoped for.

Location: Pune, India (UTC+5:30)

Remote: Yes — remote only

Willing to relocate: Yes

Technologies: Ruby on Rails, GraphQL, PostgreSQL, Redis, Hotwire/Turbo, RSpec, Sidekiq, Docker, CI/CD, MCP

Résumé/CV: https://drive.google.com/drive/folders/1WphuwQcEnJ89AUoyO3ve...

Email: ahmadhamza19@gmail.com

Senior Ruby on Rails developer with 12+ years building scalable applications across healthcare, e-commerce, talent/recruitment, gaming, and media. Recent highlights: redesigned a legacy GMC reporting pipeline cutting CPU usage by 70%+ and runtime from days to hours; built a convention-driven engineering insights platform serving 600+ engineers at Toptal; end-to-end unauthenticated storefront with GraphQL policy engine at Fullscript. OSS contributions to Devise, CanCanCan, and Kamal. Available immediately.

  Location: Netherlands, The Hague, CET

  Remote: Yes. Hybrid in The Hague/Amsterdam/Randstad also works.

  Willing to relocate: Open within the EU+EFTA for the right role. US/UK only with serious relocation support.

  Technologies:
    Core: Python, SQL, R
    Data engineering: PySpark/Spark, Databricks, dbt, Airflow/Dagster/Prefect, Kafka, Polars
    Warehouses/lakes: BigQuery, Snowflake, PostgreSQL, DuckDB
    Cloud/infra: Azure, GCP, AWS, Docker, Kubernetes fundamentals, Terraform
    Data quality: Great Expectations, Pandera
    ML/NLP: XGBoost, Keras, PyTorch, SetFit
    Also some Go, Rust, Scala

  Résumé/CV: https://drive.google.com/file/d/1qRsq9QoQF0hZ2FSmhaidGTUd1JmHSb-M/view?usp=sharing

  LinkedIn: https://www.linkedin.com/in/v-vilimaitis/

  Email: vladimirvilimaitis _at_ gmail _dot_ com

I build data systems where the output has to be trusted. Recent work includes validation frameworks for EU regulatory reporting at ESMA, Spark/Databricks pipelines for logistics use cases for SHV Energy, ESG reporting for KPMG, healthcare migration/data quality work around openEHR, and BigQuery/Airflow pipelines for logistics analytics.

I’m strongest in messy-source-data problems: ETL/ELT, data quality, warehouse/lakehouse modeling, pipeline reliability, cloud data platforms, and making analytical systems debuggable by people who were not there when they were built.

Looking for: data engineering, data platform, backend/data infrastructure, analytics engineering with real engineering depth, machine learning/data-heavy DS roles, ML/LLM infrastructure, or small technical teams building data products.

Available immediately.

  Location: greater Chicago area (Milwaukee)
  Remote:preferred
  Willing to relocate:no
  Technologies:data bricks, aws infra
  Résumé/CV:jrlopez.dev/resume.html
  Email: josephrobertlopez@gmail.com

Remote: Yes (Worldwide)

Willing to relocate: Yes, for the right opportunity.

Technologies: AWS, GCP, Kubernetes (EKS/GKE), Terraform, Helm, Docker, ArgoCD, Jenkins, GitHub Actions, Python, Bash, Linux, CloudFormation, Datadog, Grafana, Loki, Prometheus, Kafka, Vault, S3, IAM, VPC, Route 53, RDS, Lambda, API Gateway, CloudWatch

Résumé/CV: https://drive.google.com/file/d/1Tx25oGO3_p2DWRrnlDQ-Zwl8_4R...

Email: rahulbhatia1998@gmail.com

LinkedIn: https://www.linkedin.com/in/rahul-h-bhatia

GitHub: https://github.com/rahul-h-bhatia

I'm a Platform Engineer / DevOps Engineer / Site Reliability Engineer with 6+ years of experience building secure, scalable, and cost-efficient cloud infrastructure on AWS and GCP. My work has focused on Kubernetes platforms, Infrastructure as Code, CI/CD, observability, cloud security, and cost optimization across fintech, SaaS, retail, logistics, and enterprise environments.

I'm currently a Systems Engineer at MelodyArc, working on the Home Depot account, where I build and manage enterprise Kubernetes platforms on GCP. My work includes CI/CD pipelines, ingress, DNS, infrastructure automation, and supporting production workloads running at scale.

Previously at Furlenco, I led the DevOps and Data Engineering platform supporting around 80 engineers. Some of the work I'm most proud of includes reducing AWS infrastructure costs from approximately $20K/month to $11K/month, automating infrastructure with Terraform and Helm, implementing IAM database authentication, introducing HashiCorp Vault, and improving deployment reliability across production environments.

Before that, at One2N, I worked as a Site Reliability Engineer focused on platform engineering. I built internal developer platforms using Terraform and Atlantis, migrated observability from Datadog to Grafana and Loki, optimized GCP infrastructure costs by approximately 15%, reduced Airflow infrastructure costs by over $10K annually, and helped recover and stabilize production Kubernetes clusters during critical incidents.

Outside my day job, I'm an AWS Subject Matter Expert (Item Writer & Reviewer) contributing to AWS Certification development. I also completed all 12 AWS Certifications in just 44 days and regularly contribute technical reviews and exam content for AWS Training & Certification.

The thread connecting everything I do is simple: I enjoy taking infrastructure that's expensive, fragile, or difficult to operate and turning it into platforms that are automated, observable, secure, reliable, and boring to run.

I'm primarily looking for Senior Platform Engineering, DevOps, SRE, Cloud Architecture, or Solutions Architecture roles with globally distributed teams.