Jobs at Busigence Technologies

Remote entry-level web developer role building web applications and RESTful services. Work includes frontend development (HTML5, CSS3, JavaScript, jQuery, React/Angular/Ember), integrating REST/SOAP/stream APIs, developing backend APIs with Node.js/Express, and writing complex SQL/NoSQL queries. Product-development, microservices, and startup experience preferred.

Develop and maintain Python-based data applications and pipelines: fetch data from databases/APIs/files, build Pandas DataFrames/NumPy arrays, write complex SQL and data transformations, handle nested JSON, and collaborate with data science teams to deliver production data platforms.

Remote entry-level Computer Vision Engineer to fetch and preprocess unstructured data, build image/video pipelines with OpenCV/scikit-image/Pillow, and develop deep learning models (TensorFlow/PyTorch) including CNNs, RNNs and autoencoders for real-world applications. Work as an individual contributor on product development within a lean team and collaborate with data scientists.

Build and maintain Ember.js web applications: implement components, routing, data models, adapters/serializers, and integrate REST/SOAP/streaming APIs. Collaborate with data engineering to display large datasets and dashboards.

Develop and maintain high-volume Kafka data ingestion pipelines in Python using Producer/Consumer APIs and Kafka Connect (Debezium/JDBC). Configure topics, brokers, schema registry, converters, and connectors; implement CDC, custom producer/consumer logic and transformations; optimize broker/producer/consumer/connect/stream settings; deploy multiple source/sink connectors to production and integrate Kafka with messaging systems like RabbitMQ, Redis, and AWS SQS.

Develop and deploy computer vision pipelines: fetch and preprocess unstructured data, build and train deep learning models (TensorFlow/PyTorch) for image/video tasks, work on CNNs/RNNs/autoencoders and document AI, and collaborate with the data science team on product-focused solutions.

Remote entry-level NLP engineering role focused on building language processing pipelines. Responsibilities include fetching unstructured text/audio data, preparing data with NLTK/spaCy/Gensim/Librosa, and developing complex deep learning models (CNNs, RNNs, MLPs, autoencoders) in TensorFlow or PyTorch for classification, regression, clustering, anomaly detection and structured outputs.

Develop and deploy NLP pipelines: fetch and preprocess unstructured text/audio, build deep learning models (TensorFlow/PyTorch) for classification, regression, clustering, anomaly detection and structured outputs, work with embeddings, entity resolution, and collaborate with the data science team on product development.

Remote entry-level technical writer responsible for producing written technical content on information technology and software engineering terminology. Must understand software engineering concepts and basic business processes. Individual contributor role supporting product development; startup experience and work on data platforms preferred. Immediate joiners; accelerated interview process.

Remote technical recruiter responsible for sourcing and hiring software engineers and niche technical talent for startups. Tasks include sourcing via LinkedIn and job boards, shortlisting, verifying technical fit, researching companies and market trends, developing and executing recruitment strategies, and communicating with candidates and stakeholders. Immediate joiners preferred.

Remote entry-level Big Data Engineer role building data acquisition and munging pipelines. Requires strong Python3 (NumPy, Pandas), advanced SQL, scalable algorithm and data-structure implementation on distributed clusters, converting code to functional paradigms, and the ability to learn PySpark or Kafka quickly. Product-development, startup experience and real-world pipeline projects preferred.

Remote entry-level data science engineer role building end-to-end data science applications: data preparation, exploration, feature engineering, modeling, automation, and distributed model implementations using Python, SQL and scalable paradigms (MapReduce/PySpark). Must show real-world full-cycle project experience and readiness to learn PySpark quickly.

Develop and maintain React-based web applications and complex RESTful APIs (Express.js). Implement routing, templates, advanced database queries, nested JSON processing, and integrate REST/SOAP/stream APIs and cloud managed services at scale. Work as an individual contributor in a fast-paced startup environment.

Hands-on DevOps role focused on containerization and cloud deployments: build and deploy Docker images across VMs, container services, and Kubernetes; implement CI/CD pipelines; manage identity services and APIs; deploy web apps and microservices on AWS/Azure/GCP; monitor container logging and manage managed databases. Work as an individual contributor on production platforms.

Develop and maintain React-based web applications, building UI components with JSX, HTML5, CSS3 and JavaScript. Integrate REST/SOAP/streaming APIs, work with Redux/Flux workflows, collaborate with data engineering to display large data sets, charts and dashboards, and contribute as an individual product-focused developer.

Develop and maintain production-grade PySpark data and ML pipelines: ingest from multiple sources, implement distributed algorithms and complex SQL, optimize performance, integrate APIs/streams/files, and collaborate with data science to deploy scalable solutions.

Develop and maintain Express.js web applications and complex RESTful APIs. Write JavaScript from scratch, design advanced SQL/NoSQL queries, handle nested JSON/XML, ensure API security and scalability, and collaborate with data engineering on data-platform products.

Build and maintain backend APIs and microservices using Django REST Framework and Django 3.0. Implement serialization, models, views, routers, authentication/authorization, and complex RESTful endpoints. Work with relational and NoSQL databases, complex SQL queries, nested JSON and XML, and ensure API security and scalability. Collaborate with data engineering on data and ML pipelines. Immediate joiners; remote, individual-contributor role in a startup-like environment.

Remote entry-level DevOps role responsible for deploying and managing containerized Python and JavaScript applications on cloud managed services (AWS/Azure/GCP). Implement CI/CD pipelines, container orchestration (Kubernetes/EKS/AKS/GKE), deploy web and microservice applications, node/django apps, and managed databases. Opportunity to work on data and ML infrastructure and scale deployments.