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Senior Backend EngineerDevengine • New York, New York, United States
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Senior Backend Engineer

Devengine
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Remote - US
Contract
This role is for a Senior Backend Engineer with 6+ years of experience. Your primary focus will be owning the web‑application platform that transforms an in‑house scheduling solver—currently a Python desktop app with Excel workflows—into a secure, internal cloud service. The platform will handle authentication, backend orchestration for long‑running workloads, artifact and version management, as well as integrations with BigQuery and Google Sheets. The web UI will be intentionally simple with a run console and basic pages for upload, run, status, download, and publish. The core of this position is backend architecture and system design rather than frontend polish.
You will work closely with an algorithm expert who owns the solver codebase and will not need to develop or deeply understand the Python algorithm itself. The two codebases will interact through clearly defined input/output contracts. You will report to the VP and have significant autonomy to make architectural decisions and drive the platform forward. Globally, the platform is intended to be extensible so that other teams can containerize and orchestrate their own workloads, forming the foundation of a broader internal platform.
Long‑term contract without an end date. Fully remote engagement with candidates located anywhere in Latin America. Strong English communication skills (B2+ or higher) are required.
Our client is a fast‑growing healthcare company that provides autism diagnostics, therapy, and medical services to young children across the United States. The Data, AI, and Automation team is building the cloud infrastructure needed to move internal algorithmic tools from desktop execution to production‑grade, browser‑based services.
Responsibilities
Own the web application platform on GCP: authentication/authorization, APIs, storage, service architecture, and a simple utilitarian web UI.
Build reliable long‑running job execution for the solver—queueing, concurrency limits, cancellation, retries—optimized for low wait time and iterative use.
Own end‑to‑end workflow I/O and integrations: maintain the existing Excel‑in/Excel‑out experience, enable safe and auditable publish to Google Sheets, and integrate with BigQuery for data enrichment and metrics/reporting.
Define and maintain the platformsolver contract (I/O bundle format, versioning, error taxonomy, logging) in partnership with the algorithm owner.
Implement PHI‑safe security and compliance controls in partnership with the Security Engineer: least‑privilege IAM, encryption, secrets management, and audit logging.
Establish production operability in partnership with the DevOps Engineer: CI/CD, monitoring/alerting, and support/run‑diagnostics tooling.
Mandatory Requirements
6+ years building production backend systems and platforms (internal tools and/or customer‑facing).
Strong experience with client‑server distributed architectures.
Comfortable designing and building asynchronous/event‑driven systems (e.g., publish/subscribe, queues, streaming) for long‑running workloads.
Proficiency building systems that implement stateful resources: relational and/or non‑relational databases and object storage.
Strong familiarity with at least one major cloud provider (GCP, AWS, or Azure)—with the ability and willingness to work in GCP as the production environment.
Comfortable containerizing and packaging application code (Docker, container registries, orchestration).
Comfortable using Git and CI/CD tools (e.g., GitHub Actions/Workflows).
Ability to model and implement execution pipelines using state machines/workflows (durable job state, retries, idempotency, compensating actions).
Strong experience in at least one backend language (Go, Java, Python, or equivalent). The solver codebase is Python—you don’t need to be a Python expert, but you must be comfortable reading, packaging, and containerizing Python code.
Experience designing secure systems (authn/authz, secrets handling, encryption, audit logging), including PHI/PII‑safe logging.
Strong cross‑team collaboration skills and ability to define ownership boundaries and contracts.
Nice‑to‑Have
Experience with Google Cloud Platform specifically (Cloud Run, Pub/Sub, BigQuery, IAM).
Experience with optimization/solver workloads (OR‑Tools, MILP, etc.).
Experience with healthcare data compliance (HIPAA) and BAA‑oriented vendor setups.
Experience with cloud‑native container orchestration (e.g., Kubernetes, Cloud Run).
Experience with Excel ingestion/export pipelines.
Experience with JavaScript frameworks (e.g., React) for simple internal UIs.
What We’re Looking For Beyond the Tech Stack
Startup mindset over big‑tech process. You own outcomes, not tickets, and focus on the usefulness of the work.
Genuine curiosity and love of learning. You pick up new domains and tools quickly because you are naturally drawn to understanding how things work.
Adaptability over certification stacking. We value foundational engineering ability and growth capacity over a perfect resume match.
Comfort with ambiguity. You can thrive building infrastructure for a team that includes non‑engineers developing algorithms.
What Success Looks Like
3 months—V1 prototype in pilot: V1 web app platform running real Base Schedule workflows end‑to‑end for a small pilot cohort (Google SSO, validate/solve job orchestration, Excel artifact management, per‑run status/logs, and a basic publish flow).
6 months—V1 rollout complete: V1 is the default execution path for schedulers (production rollout complete): reliable parallel runs with low queue time, versioned publish to Google Sheets with audit trail, solver quality metrics landing in BigQuery for analytics, and a repeatable release/rollback workflow with DevOps.
9 months—V2 in prototype: V2 Week Ahead workflow running in prototype (cloud‑executed Week Ahead + early cross‑center allocation orchestration), with the operational scaffolding needed to evaluate rollout (monitoring, support playbook, and clear success criteria for V2).
Of Note
A company laptop will be provided.
HIPAA compliance training is required before the start date.
Completed background checks will be required before the start date if you are selected as a winning candidate.
As a winning candidate, you will be required to disclose your engagement with DevEngine as a primary client on your professional LinkedIn profile.
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  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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