Technology: Ship Value, Safely and Repeatedly

From platform engineering and data/AI to product, security, and UX — we staff high-signal talent and operate outcome-based squads with clear delivery cadences and SLAs.

Why tecronix for Engineering & Product

Hiring for impact means calibrating scope and evidence — not just tool lists. We use success profiles, structured interviews, and practicals that mirror your stack and constraints. Managed squads run on sprint cadences with Definition of Ready/Done, QA gates, and incident hygiene.

  • Scorecards tied to outcomes: latency, reliability, throughput, conversion, security posture
  • Real-world exercises (PR reviews, design docs, incident write-ups, product cases)
  • Velocity with quality: CI/CD, test strategy, and observability as first-class citizens
  • Security-by-default: least-privilege, threat modeling, and dependency hygiene

Roles We Fill

  • Software Engineers (Frontend/Backend/Full-Stack)
  • Platform/SRE & DevOps Engineers
  • Mobile (iOS/Android) & Desktop
  • QA/Software Development Engineers in Test (SDET)
  • Data Engineers & Analytics Engineers
  • Data Scientists & ML/AI Engineers
  • MLOps & LLM Platform Engineers
  • BI Developers & Data Analysts
  • Security (AppSec, Cloud Sec, GRC)
  • Product Managers & Product Owners
  • Designers (Product/UX/UI) & UX Researchers
  • Engineering Managers & Directors

Outcome-Based Squads

Modernization & Migrations

Monolith → services, cloud moves, database upgrades, and deprecations.

Platform & Developer Experience

Pipelines, environments, test strategy, golden paths, and docs-as-code.

Data & AI

Ingestion, modeling, quality, feature stores, inference services, and guardrails.

Security & Compliance

Threat modeling, SAST/DAST/IAST, IAM, policy-as-code, audit evidence.

Web & Mobile Product

Roadmap shaping, discovery, accessibility, performance, and experiments.

Observability & Reliability

SLOs/SLIs, tracing/logs/metrics, incident response, and chaos drills.

Operating Model

  1. Intake: success metrics, risks, dependencies, envs, access
  2. Setup: repos, pipelines, IaC, observability, and runbooks
  3. Build: small PRs, reviews, tests, and progressive delivery
  4. Run: on-call, incident standards, and postmortems with actions
  5. Improve: performance budgets, debt burn-down, roadmap hygiene

Key KPIs

  • DORA: deploy freq, lead time, change fail %, MTTR
  • Platform: CI success %, build time, time-to-first-commit
  • Product: conversion, task success, NPS/CSAT, a11y score
  • Data/ML: data quality, freshness, drift, latency & cost

Tooling Familiarity

  • Languages: TS/JS, Python, Java/Kotlin, Go, C#
  • Frameworks: React/Next, Node/Nest, Spring, .NET
  • Mobile: Swift/Kotlin, React Native, Flutter
  • Cloud: AWS, Azure, GCP; Terraform/IaC
  • DevOps: Docker, Kubernetes, Argo/GitHub Actions
  • Observability: OpenTelemetry, Grafana, Datadog
  • Data: dbt, Spark, Airflow, Kafka
  • ML: sklearn, PyTorch, TF, MLFlow
  • Security: SAST/DAST, OIDC/OAuth2, Vault, CSPM

Recent Outcomes

Latency Reduction

p95 down 41% by caching, indexes, and async IO; conversion +6%.

Reliability Uplift

MTTR −38% after SLOs and incident response overhaul.

Data Quality

Freshness/accuracy +20 pts with contracts and tests; decision latency down.

Security & Compliance

Threat modeling, secure SDLC, least-privilege access, and audit evidence by default. HIPAA/PHI and PCI awareness where applicable.

Accessibility & Performance

A11y checks (contrast, focus, ARIA), Core Web Vitals budgets, and progressive enhancement for durable UX.

Technology FAQs

Can you handle legacy stacks and modernization?

Yes — we stabilize first, then migrate incrementally with kill-switches and observability.

Do you support regulated workloads?

We align to HIPAA/PHI and PCI practices with evidence logging and restricted access.

How do you screen engineers?

Work-sample based assessments, code reviews, design docs, and structured behavioral prompts.

Can you run a full product squad?

Yes — PM, design, engineering, QA, and DevOps with sprint cadences and SLAs.

Need engineers or a managed squad?

Share your roadmap — we’ll propose staffing or an outcome-based team.

Request Tech Talent