Jobs at Coditude

Research and identify B2B prospects, build and maintain segmented databases, verify contact information, perform data hygiene, and support SDR outbound campaigns. The role involves using prospecting and CRM tools, tracking data quality metrics, and collaborating with SDRs to fulfill targeting requests across healthcare, AI, cybersecurity, and enterprise software markets.

Own and operate AWS production infrastructure for a consumer automotive platform, including networking, load balancing, CDN, IAM, CI/CD, monitoring, incident response, search infrastructure, security, and cloud cost optimization. Partner with offshore DevOps, engineering, and data teams in a follow-the-sun operating model, participate in on-call coverage, and improve production reliability, access controls, and deployment processes.

Manage end-to-end technical recruitment, including sourcing, screening, interviews, offers, onboarding, and candidate experience. Coordinate client resource deployment, campus hiring, internships, bootcamp activities, employee insurance, exit processes, engagement initiatives, CSR programs, employer branding, and HR documentation. The role requires collaboration with hiring managers, Sales, Marketing, colleges, vendors, and other stakeholders in a fast-paced IT environment.

Sources and screens candidates for technical roles, conducts initial phone screenings, coordinates interviews, maintains recruitment pipelines and trackers, communicates with candidates, supports offer coordination, and assists with employer branding and outreach. The role partners with hiring managers on technical hiring across .NET, Java, QA, Full-Stack, and AI-native technologies while maintaining accurate recruitment data in Keka ATS and other systems.

Build and operate reliable end-to-end data pipelines that integrate structured, semi-structured, document, and time-series sources into a lakehouse or data fabric. Responsibilities include ingestion, transformation, cleansing, batch and streaming processing, monitoring, testing, data quality, and preparing curated datasets for visualization and MLOps. The role collaborates with architects and cross-functional teams to align pipelines with platform standards and support initial pilot use cases.

Administers and operates data platform applications across Azure and Snowflake, ensuring reliability, security, governance, and performance. Manages access controls and user provisioning, monitors platform health and capacity, supports audits and compliance, coordinates upgrades and patches, and configures environments for engineering teams. The role also supports onboarding of data sources and users, with preferred experience in GraphDB, MLOps tooling, infrastructure automation, and Snowflake administration.

Build and deploy full-stack features across frontend and backend systems. Use AI coding tools such as Claude, Cursor, and Copilot to accelerate development, debugging, and automation. Design and optimize databases, integrate cloud storage, containerize applications with Docker, and deploy them on AWS using EC2 or ECS and S3. Independently research and resolve technical challenges while taking ownership of production-ready software delivery.

Build and deploy full-stack features across frontend and backend systems. Design and optimize databases, integrate cloud storage, containerize applications with Docker, and deploy services using AWS EC2 or ECS and S3. Use Claude, LLMs, and AI coding assistants to accelerate development, automate repetitive work, troubleshoot independently, and improve engineering workflows. The role requires strong Next.js and React skills, API development with Node.js or Python, database experience, cloud familiarity, initiative, and enthusiasm for software development.

Establishes and operates the MLOps foundation for model training, deployment, monitoring, versioning, governance, and reproducibility. Builds model CI/CD pipelines, integrates tooling with lakehouse and Snowflake workflows, manages development and production environments, and supports future agentic AI capabilities. Requires end-to-end MLOps setup experience, container orchestration expertise, and familiarity with Azure ML or equivalent platforms.

Design and build a knowledge graph representing asset topology, ontologies, systems, and relationships. Populate the graph from integrated source data, provide query interfaces, and synchronize it with the lakehouse. Collaborate with architects and data engineers to support downstream insights, advanced analytics, and future agentic use cases. The role requires hands-on GraphDB expertise, semantic modeling, graph querying, and integration with broader data platforms.

Own the end-to-end architecture of an Azure-based data platform transitioning to Snowflake. Define lakehouse and data fabric standards for ingestion, storage, processing, governance, security, lineage, modeling, and access control across IT, OT, and IoT sources. Establish integration patterns, validate pilot use cases, review data engineering, GraphDB, and MLOps designs, and plan a phased roadmap supporting analytics and agentic AI capabilities.

Builds dashboards, reports, and visualizations from lakehouse and graph data to demonstrate pilot value. Models curated datasets for reporting and self-service analytics, translates use cases into actionable stakeholder insights, collaborates with data engineers on serving-layer requirements, and iterates based on pilot feedback.

Design and optimize stateful knowledge-graph traversal for multi-turn diagnostic reasoning. Build context and memory models that preserve relevant state, reduce latency, and support near-real-time interaction. Integrate LLMs and agentic frameworks, develop regression-testing infrastructure, and independently deliver complex work from concept through deployment. Collaborate closely with leadership and communicate effectively in a remote-native environment.

Integrate IT, OT, and IoT data from CCTV, sensors, building management systems, and industrial controls into a secure platform. Build reliable time-series and streaming ingestion, bridge OT protocols and formats, validate data with facilities and operations stakeholders, and support pilot use cases. Address IT/OT security, network segmentation, governance, edge gateways, and data integration across InfluxDB, MongoDB, PostgreSQL, Redis, MQTT, and OPC UA.

Six-month HR recruitment internship supporting technical candidate sourcing, resume screening, shortlisting, interview scheduling, offer management, onboarding documentation, candidate pipeline tracking, and recruitment reporting. The role requires strong communication and organizational skills in a fast-paced IT environment and offers hands-on exposure to end-to-end technical recruitment.