6 open positions available
Lead and mentor Salesforce development team, design and implement solutions, manage integrations, and stay updated on Salesforce best practices. | Extensive experience in Salesforce Apex, Visualforce, Lightning, and integrations, with leadership skills to guide a development team. | We’re hiring a Senior Salesforce CPQ / Revenue Cloud Lead/Architect Join Galent and help us deliver high-impact technology solutions that shape the future of digital transformation • Senior technical developer who has worked in Revenue Cloud implementation projects • At least 8+ years of hands-on experience as Technical developer • Customizing native Revenue Lifecycle Management(formerly Revenue Cloud/CPQ) to streamline quote-to-cash process • Hands-on experience with using advanced configuration tools like Pricing procedures, Product catalog management and constraint models to replace complex, custom CPQ code Job Summary The Senior Technical Lead in salesforce apex development is responsible for providing technical leadership and expertise in Salesforce development. The role involves designing, developing, testing, and implementing solutions using Salesforce platform to meet business requirements and enhance user experience. The Senior Technical Lead will collaborate with cross functional teams to ensure successful project delivery and drive innovation in Salesforce development. (1.) Key Responsibilities 1. Lead and mentor a team of salesforce developers in designing and implementing solutions on the salesforce platform 2. Develop custom solutions using salesforce apex, visualforce pages, and lightning components 3. Collaborate with business stakeholders to gather requirements and design efficient and scalable solutions 4. Perform code reviews, troubleshoot issues, and provide technical guidance to ensure high-quality deliverables 5. Manage integrations with third-party systems and tools to enhance salesforce functionality 6. Stay updated on salesforce best practices, new features, and technologies to drive continuous improvement and innovation 7. Conduct training sessions and workshops for team members to enhance their salesforce development skills Skill Requirements 1. In-depth knowledge of salesforce platform including salesforce apex, visualforce, lightning components, and salesforce declarative tools 2. Proficiency in developing and customizing salesforce solutions to meet business requirements 3. Strong understanding of salesforce data model, security model, and integration capabilities 4. Ability to lead a team of developers, provide technical guidance, and drive project delivery 5. Excellent communication and interpersonal skills to collaborate with stakeholders and cross functional teams 6. Problem-solving skills with a proactive and innovative mindset to drive continuous improvement
Design, develop, and deploy full-stack solutions using C#/.NET and Python on Azure, including building backend services, APIs, and managing cloud infrastructure. | Experience with C#/.NET and Python, Azure cloud deployment, containerization with AKS, CI/CD pipelines, and independent feature ownership. | We’re hiring a Full Stack (.NET & Python) Join Galent and help us deliver high-impact technology solutions that shape the future of digital transformation Job Title: Full Stack (.NET & Python) Location: Remote (Preferred PST Candidates) Overview We are hiring strong, independent Full Stack Software Engineers (SWE II) with experience in .NET (C#) and Python to build and scale cloud-native solutions on Microsoft Azure. This role is ideal for engineers who can own features end-to-end, collaborate across time zones, and deliver production-ready systems with minimal direction. This is not an order-taking role. We are looking for self-driven engineers who actively contribute to design decisions and execution. What You’ll Work On • Unified Identity & Profile Platform Build and evolve identity and profile systems supporting Entra and non-Entra identities, account linking, and secure profile management. • Organization Skilling & Learning Experiences Enhance skilling playlists, org-wide learning experiences, and AI-assisted builder capabilities. • Reporting & Insights Develop reporting pipelines and APIs delivering learner-level, feature-level, and org-level insights. Key Responsibilities • Design, develop, and ship full-stack solutions using C#/.NET and Python • Build and maintain scalable backend services and APIs • Deploy and operate services on Azure, including AKS or Azure Container Apps • Create and maintain CI/CD pipelines for containerized applications • Collaborate with offshore technical teams and participate in design/code reviews • Own features from concept through production and monitoring Required Qualifications • Strong experience with C#/.NET OR Python (both preferred) • Solid experience building backend services and APIs • Hands-on experience with Microsoft Azure • Experience with AKS and/or containerized workloads • Experience with CI/CD pipelines and cloud deployments • Ability to work independently and drive work forward without detailed instructions Nice to Have • Identity and authentication systems (Entra ID, OAuth, OpenID Connect) • Data, analytics, or reporting systems • Frontend frameworks (React, Angular, etc.) • Infrastructure-as-Code (Bicep, ARM, Terraform) • AI/ML or AI-assisted product features
Lead the development and governance of chemistry-based burn planning frameworks, ensuring AI-generated plans are safe, operationally feasible, and optimized for value. | Deep expertise in waste chemistry, thermal treatment, and experience with AI/ML systems in process optimization, along with 10-12 years in waste management or thermal operations. | This role leads organization’s chemistry-driven burn planning transformation, combining deep expertise in waste chemistry and thermal treatment with AI-generated burn plan design and optimization. The Director owns the definition, governance, and continuous improvement of chemistry-based burn plans—from waste profiling and compatibility, to feed composition, burn parameters, and closed-loop learning. The role is accountable for ensuring that AI-generated burn plans are chemically sound, operationally feasible, safe, and value-optimizing, and are adopted across facilities. Key Responsibilities Waste Chemistry & Burn Plan Ownership • Own the end-to-end burn planning framework, grounded in waste chemistry, calorific value, ash behaviour, moisture, metals, halogens, and incompatibility risks. • Define standard waste profiling and characterization models that feed burn planning logic. • Establish chemistry-based constraints and guardrails for blending, sequencing, and feed rates. AI-Generated Burn Plan Design • Lead the design and validation of AI-generated burn plans, ensuring models respect real-world chemical and thermal constraints. • Translate chemical rules (compatibility, reaction risk, emission limits, slagging, corrosion) into machine-consumable logic. • Partner with data science teams to define features, training signals, and success metrics for burn plan optimization models. Burn Parameter Feedback & Closed-Loop Learning • Define burn performance KPIs (thermal stability, throughput, residue quality, emissions stability). • Establish feedback loops from control room data to continuously improve AI burn plan recommendations. • Drive transition from static, manual burn planning to adaptive, chemistry-aware planning. Risk, Safety & Compliance Leadership • Ensure burn plans proactively manage chemical incompatibility, safety, and regulatory risk. • Embed gatekeeping logic for incompatible or high-risk waste streams prior to receiving and feeding. • Act as chemical authority for incident prevention, root cause analysis, and corrective action. Standardization • Collaborate with site team on Process Chemistry & Burn Planning, setting standards, playbooks, and validation protocols for AI-generated plans. • Ensure consistency of chemistry logic and burn planning methodology across facilities while accommodating site-specific constraints. • Mentor site process chemists and operators on AI-assisted decision-making. Value Realization & Optimization • Quantify and track impact from AI-enabled burn planning including: • Increased throughput and stable burns • Reduced rehandling and off-spec residue • Lower fuel and reagent consumption • Reduced operator intervention and variability Required Experience & Qualifications • MS or PhD in Chemistry or Chemical Engineering (process or thermal focus strongly preferred). • 10–12 years’ experience in waste management, hazardous waste, incineration, or thermal treatment operations. • Deep hands-on expertise in: • Waste chemistry and compatibility • Burn plan development and optimization • Thermal process control and emissions behaviour • Proven experience working with advanced analytics, AI/ML, or decision optimization systems (as a domain leader, not necessarily a coder). • Strong ability to translate chemical intuition into structured rules, constraints, and data models. Success Measures • AI-generated burn plans adopted as the primary planning mechanism. • Measurable improvement in burn stability, throughput, and safety. • Reduced chemistry-related incidents and manual overrides. • Scalable burn planning framework deployed across facilities.
Manage multiple customer projects, oversee SaaS product implementations, and coordinate cross-functional teams. | Experience in project management, SaaS product implementation, pharma commercial background, and familiarity with Scrum and JIRA. | We’re hiring a Model N Project Manager Join Galent and help us deliver high-impact technology solutions that shape the future of digital transformation Job Title: Model N Project Manager Location: Remote Contract • Candidate must be experienced PM who has managed multiple customers in parallel • Must have Pharma commercial background Managing SaaS product implementation or upgrade • Experienced in ScrumRUPRational Unified Process methodology and JIRA as a Tool • Ability to manage a cross functional team Product PS EOS MBS • Good in Planning Execution • Must be working with directly in customer supervision • Must know good project management skill Planning Tracking client management and communication • Certified scrum role is added advantage Skills Mandatory Skills : Project Planning, Project Governance Pharma commercial and SaaS product experience is must
Developed full-stack applications, led API and backend services, and managed CI/CD pipelines. | Requires Kafka and AWS ECS experience, which are not mentioned in your background. | We’re hiring a Kafka SME Join Galent and help us deliver high-impact technology solutions that shape the future of digital transformation Kafka SME Contract Location : New Jersey (Remote) Job description Candidate should have experience in Kafka and AWS along with below skillset. Kafka Setup - Set up Kafka foundational layer with well architected framework AWS MSK Setup - Cloudformation template, Deployment via Gitlab Kafka connect a. Kafka proxy b. Schema registry c. Cruise control d. KSQL e. AKHQ setup (GUI tool) This needs to be built and developed on AWS ECS Monitoring - Leverage Prometheus and Grafana to scrape and design monitoring and Observability for MSK. If needed host it on AWS ECS. ECS setup - CloudFormation template, Deployment via Gitlab Skills Mandatory Skills : Kafka, AWS ECS Why Galent Galent is a digital engineering firm that brings AI-driven innovation to enterprise IT. We’re proud of our diverse and inclusive team culture where bold ideas drive transformation. Ready to Apply? Send your resume to ranjithkumar.b@galent.com/aravin.k@galent.com
Develop and maintain data pipelines and ETL processes using Python and SQL on cloud platforms, leveraging DevOps tools and data architecture best practices. | Proficiency in Python, SQL, ETL, cloud databases, DevOps tools, GCP Data Architecture, MDM concepts, Snowflake, Django, and data modeling with experience in Agile environments. | Note: The job is a remote job and is open to candidates in USA. Galent is a company seeking a Data Engineer with expertise in Python and SQL. The role involves developing data pipelines, working with cloud-based databases, and utilizing various tools and frameworks to enhance data architecture and ETL processes. Responsibilities • Good proficiency in Python programming • Experience working with ETL framework on python and creating data pipelines • Good understanding of SQLPLSQL • Experience working with any Cloud based Database like Single store • Knowledge of DevOps CICD Pipelines development tools Jenkins Docker Git etc • Knowledge on Yaml programming • Knowledge on basics Unix commands • Experience Working in Agile delivery model • Experience working in Snowflake • Django framework • Experience working in AWS or any cloud environments • Exposure to Data virtualization tools like Denodo • Knowledge on job schedulers like AutoSys • GCP Data Architecture • MDM Conceptual • Data Architecture • Data lakehouse Architecture • Dimensional Data Modeling Skills • Good proficiency in Python programming • Experience working with ETL framework on python and creating data pipelines • Good understanding of SQLPLSQL • Experience working with any Cloud based Database like Single store • Knowledge of DevOps CICD Pipelines development tools Jenkins Docker Git etc • Knowledge on Yaml programming • Knowledge on basics Unix commands • Experience Working in Agile delivery model • Mandatory Skills : GCP Data Architecture, MDM Conceptual, Data Architecture, Data lakehouse Architecture, Dimensional Data Modeling • Experience working in Snowflake • Django framework • Experience working in AWS or any cloud environments • Exposure to Data virtualization tools like Denodo • Knowledge on job schedulers like AutoSys Company Overview • Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries. It was founded in 2024, and is headquartered in , with a workforce of 501-1000 employees. Its website is https://www.galent.com.
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