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Full Stack DE Expert Location: Remote Experience: 8+ Years Company Overview Codvo is a global empathy-led technology services company where software engineering excellence and human-centered innovation come together. Our mission is to accelerate our clients digital transformation through world-class design, cloud engineering, data modernization, digital engineering, and enterprise AI. As we deepen our focus on the Oil & Gas sector, we partner with upstream, midstream, downstream, LNG, chemical, and pipeline operators to unlock measurable value across their digital and AI transformation journeys. Job Description Design, build, and maintain Databricks data pipelines (ETL/ELT) for ingestion, transformation, and orchestration using Spark/Delta Lake/Databricks Workflows. Must have practical experience in Databricks and MLflow, including model development, experiment tracking, model management, and deployment in a production setting. Operationalize machine learning models by building inference pipelines that invoke models authored by data scientists (batch or real-time), ensuring consistency between training and inference environments. Ensure data reliability, quality, and observability through robust validation, monitoring, alerting, and automated recovery mechanisms. Collaborate closely with data scientists to productionize models, manage model deployment lifecycles, and optimize inference performance and cost. Implement best-practice Dev Ops/MLOps processes such as CI/CD for pipelines, model versioning, environment promotion, and infrastructure-as-code. Optimize performance and cost across compute clusters, jobs, and storage layers. Implement and manage the enterprise data catalog, including schema design, table ownership, lineage, governance, and documentation using Unity Catalog. Experience with some Databricks infrastructure. Experience with building BI dashboards and visualization. Experience with coding agents and best practices (spec-dr .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.