Jobs at Devsinc

Develop, maintain, and optimize web and mobile applications across multiple technology stacks. Apply object-oriented programming, data structures, algorithms, and design patterns; work with SQL and NoSQL databases; debug and optimize systems; participate in code reviews; and collaborate with cross-functional teams while continuously learning new technologies.

Supports the Talent Acquisition team with end-to-end recruitment activities, including candidate sourcing, talent pipeline development, resume screening, interview coordination, job postings, application management, ATS updates, and candidate follow-up. Collaborates with hiring teams across technical and non-technical functions while maintaining accurate recruitment records and supporting daily hiring operations.

Assist with developing, testing, maintaining, and debugging software applications and cloud infrastructure solutions. Contribute to OpenStack-related tasks using Python or MERN stack technologies, write maintainable code, troubleshoot technical issues, and collaborate with engineers while learning new technologies.

Develop and optimize real-time computer vision and medical image segmentation models for ultrasound-guided clinical procedures. Responsibilities include training PyTorch models, evaluating clinician-annotated datasets, optimizing GPU inference, deploying models with Docker and AWS, maintaining reproducible ML pipelines, and collaborating directly with clinicians, infrastructure engineers, external partners, and clients.

Assist with developing, deploying, configuring, and troubleshooting OpenStack-based cloud and virtualized environments. Write basic Python or Bash scripts, support testing and debugging, optimize cloud solutions, and contribute to technical documentation. The role also involves learning Linux, OpenStack, cloud computing, virtualization, and networking technologies while collaborating with the engineering team.

Develop and maintain web applications using Ruby on Rails and React. Build responsive interfaces, RESTful APIs, and integrations between front-end and back-end systems. Collaborate with designers and product managers, conduct code reviews, troubleshoot performance issues, resolve bugs, and ensure application quality, responsiveness, and maintainability.

Assist with ERP implementation consulting by analyzing client business processes, gathering requirements, conducting gap analysis, preparing functional specifications, leading process walkthroughs, developing UAT cases, supporting data migration and cutover, and providing post-go-live customer support for Dynamics 365 Finance and Operations and AX 2012.

Lead end-to-end Microsoft Dynamics 365 Finance and Operations implementations, including requirements gathering, fit-gap analysis, configuration, testing, deployment, training, and post-go-live support. Advise clients on process optimization and ERP best practices, collaborate with technical and project teams, ensure quality standards, and mentor junior consultants.

Designs, builds, and maintains scalable ETL/ELT pipelines and distributed data-processing systems. Develops Python, SQL, Airflow, Spark, and Redis solutions for large datasets, with responsibilities spanning data integration, validation, monitoring, observability, performance optimization, troubleshooting, and documentation. Collaborates with BI, Product, Data Science, and Engineering teams to deliver reliable production datasets and data products.

Develop and maintain automated API, web, and mobile tests, with a primary focus on Anti-Fraud API regression coverage. Integrate test suites into CI/CD pipelines using TestOps and Allure, maintain automation frameworks and test data, validate defects, review requirements, support manual testing, and improve testing processes. Collaborate with engineering and product teams in an Agile environment using Jira, Slack, Git, and GitHub.

Designs and deploys scalable AI/ML and data engineering solutions using Python, SQL, machine learning, cloud platforms, generative AI, LLMs, RAG, NLP, and data pipelines. Engages clients, leads discovery calls, demos, presentations, proofs of concept, and solution architecture discussions. Prepares proposals, scopes, estimates, and statements of work while partnering with sales to develop and close opportunities. Supports project handoff and builds long-term client relationships.

Designs, develops, and implements Microsoft Dynamics 365 CRM/CE and Power Platform solutions. Responsibilities include configuring plugins, workflows, business rules, JavaScript, custom APIs, Power Apps, Power Automate, Power Pages, and Dataverse; building Azure-based integrations; developing .NET components; supporting deployments, troubleshooting, optimization, and production operations; and contributing to architecture, code reviews, and client-facing consulting engagements.

Design and deploy scalable AI/ML and data engineering solutions using Python, SQL, machine learning, generative AI, LLMs, data pipelines, and cloud platforms. Engage clients through discovery calls, presentations, demos, proposals, estimates, and solution architecture discussions. Partner with sales and leadership to develop and close opportunities, address technical objections, build relationships, and ensure successful project handoffs.

Supports IT staffing business development through LinkedIn and email outreach, multi-touch campaigns, job-platform sourcing, lead qualification, proposal and RFP writing, contract negotiation, and pipeline management. Collaborates with sales, recruitment, and delivery teams to develop global staffing partnerships, track CRM and revenue metrics, and achieve monthly lead, proposal, and contract KPIs across technical staffing areas.

Provide technical consulting across Microsoft Dynamics 365, Azure infrastructure, DevOps, and cloud migration. Lead enterprise implementations, including Dynamics 365 Commerce and Customer Engagement deployments, Dynamics AX to D365 migrations, Azure DevOps CI/CD pipelines, and infrastructure automation using Bicep and Terraform. Deliver projects from design through implementation and deployment while supporting client-facing communication and enterprise cloud architecture.

Design, develop, and maintain scalable Python applications and services. Lead architecture decisions, optimize performance, review code, mentor junior developers, collaborate on features, and troubleshoot issues. The role requires Python framework expertise, frontend and API development experience, SQL and NoSQL databases, testing, Git, Docker, and foundational system architecture knowledge. Preferred experience includes cloud platforms, CI/CD, microservices, caching, authentication, Kubernetes, monitoring tools, and production-scale systems.

Identify and engage prospective clients across North America and EMEA using multi-channel outbound outreach and prospecting tools. Build high-quality prospect lists, qualify leads using BANT/ICP criteria, book discovery meetings, and deliver Sales Qualified Leads. Maintain CRM records, manage pipeline metrics, and collaborate with Sales, Marketing, and Delivery teams to meet lead generation and performance targets.

The Senior Software Engineer (AI/ML) will design and build AI systems, optimize ML models, and integrate them into backend systems, requiring 3+ years of experience.

Responsible for developing dynamic web applications using the MERN stack, collaborating with teams to deliver quality software solutions.

Provide legal counsel on technology contracts, lead negotiation of SaaS/cloud and IP agreements, manage data privacy program and DPO function, ensure GDPR/CCPA/HIPAA compliance, advise on open-source licensing and trademarks, and support M&A due diligence and cross-border transactions.