BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.
With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.
We don't just strategize — we execute.
We’re looking for a software engineer to design and build a next-generation reliability platform
for the client's production systems. You’ll blend traditional distributed systems engineering with
AI-assisted development to give teams a single place to understand, debug, and improve the
health of their services.
This is a highly creative, hands-on role for someone who loves “vibe coding” — rapidly iterating,
shipping, and refining with strong intuition— while still holding a very high bar for reliability,
quality, and maintainability.
What you will do
● Build a centralized reliability command center that gives teams a unified view of system
health, risk, and reliability across services and environments.
● Create AI agents that can assist with incident triage, root-cause exploration, log/trace
summarization, and recommended next actions.
● Create delightful developer-facing features and APIs that help engineers explore data,
debug issues, and make better decisions.
● Use AI-assisted development tools (e.g., Cursor, Claude, Copilot-like tools) as leverage
to prototype, refactor, and ship high-quality code quickly.
● Own projects end-to-end: requirements, architecture, implementation, testing, rollout,
and iteration based on feedback.
● Collaborate closely with partner teams (product, infra, data, SRE) to understand pain
points and translate them into simple, powerful solutions.
What you will bring
● 5+ years of experience in backend or full-stack engineering, with a track record of
building and operating complex production systems.
● Strong proficiency in Python, with experience architecting data-intensive applications
and robust APIs.
● Problem-solving and product sense: you care about the "what" and the "why," not just
the "how." You are capable of taking ambiguous requirements and rapidly iterating
towards a working solution
● Hands-on experience with AI-assisted development, such as Cursor, Claude, or similar
tools, and enthusiasm for using them to build and ship features faster.
● Practical use of LLMs or AI frameworks to enhance automation and guidance with
guardrails and citations