Bright Vision Technologies

Platform Engineer

• Architect, install, configure, and operate SAP landscapes including S/4HANA, ECC, BW/4HANA, Solution Manager, and other NetWeaver-based systems across on-prem and cloud environments
• Administer SAP HANA databases — including installation, sizing, replication, backup, recovery, and performance tuning — to meet demanding availability and performance SLAs
• Plan and execute SAP system copies, refreshes, and post-copy automation activities to support development, testing, training, and migration scenarios
• Lead SAP upgrades, EHP installations, Support Package application, kernel upgrades, and S/4HANA conversions with minimal disruption to business operations
• Design and implement SAP migrations to cloud platforms (AWS, Azure, GCP) and SAP RISE/Grow environments, including network and identity integration
• Configure and operate high-availability and disaster-recovery solutions for SAP, including HANA System Replication, cluster-based failover, and validated DR runbooks
• Implement and maintain SAP transport management strategies, including Solution Manager ChaRM and CTS+ workflows
• Manage SAP user provisioning, role management, and audit support in close collaboration with the SAP Security/GRC team
• Monitor SAP system performance, capacity, and health using Solution Manager, Focused Run, native HANA tools, and external APM platforms
• Develop automation scripts and runbooks using Ansible, PowerShell, or Python to reduce operational toil and accelerate routine tasks
• Manage and remediate SAP security notes, kernel patches, and database patches in accordance with internal security and compliance policies
• Provide 24x7 on-call support for production SAP systems and lead structured incident response and post-incident reviews
• Document SAP architecture, operations procedures, and standard operating processes to support knowledge sharing and team scalability
• Mentor junior Basis engineers and contribute to the broader SAP platform roadmap.

SAP Basis, SAP Platform Engineer

Software Engineer

• Design and develop custom ABAP programs, enhancements, BAPIs, BADIs, user exits, and interfaces within SAP S/4HANA environments
• Build performant CDS views, AMDPs, and HANA-optimized ABAP code
• Develop and consume OData services and RESTful APIs
• Implement SAP Gateway services, including service registration, modeling, and lifecycle management
• Design and develop classical and interactive ALV reports, smart forms, Adobe forms, and modern Fiori-aligned output channels
• Build and maintain integration interfaces using IDocs, RFC, BAPI, Web Services, and the SAP API Hub
• Perform technical analysis of business requirements
• Conduct thorough unit testing, support functional and integration testing, and resolve defects
• Lead performance tuning of ABAP code, SQL queries, and database access patterns
• Support S/4HANA upgrades, system conversions, and code remediation activities
• Implement security best practices in custom developments
• Document technical specifications, code reviews, and operational procedures
• Mentor junior ABAP developers

SAP ABAP Developer, S/4HANA

Robotics

• Design, build, and integrate software systems for autonomous robots and robotic platforms.
• Work across the full robotics software stack including low-level sensor integration and motion planning.
• Develop robotics software in C++ and Python focusing on real-time performance and reliability.
• Design and integrate sensor data pipelines and algorithms including SLAM and sensor fusion.
• Collaborate closely with cross-functional partners to translate requirements into engineered solutions.
• Raise the bar through code review, design review, and mentorship of junior engineers.

Robotics Software Engineer

Engineer

• Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments.
• Develop, calibrate, and maintain simulation environments suitable for large-scale agent training.
• Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods.
• Engineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraints.
• Apply offline RL and imitation learning techniques where exploration is costly or unsafe.
• Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant.
• Build scalable training infrastructure for distributed RL, including efficient experience collection and replay systems.
• Optimize training stability and sample efficiency through algorithmic and engineering improvements.
• Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases.
• Implement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversight.
• Collaborate with applied scientists and product teams to identify high-value RL use cases.
• Monitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect users.
• Document methodology, design decisions, and operational characteristics for internal stakeholders.
• Stay current with RL research and translate promising techniques into production-ready solutions.

Reinforcement Learning Engineer

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications
• Partner closely with quants and traders to translate mathematical models into production-quality software
• Work with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions
• Raise the bar through code review, design review, and mentorship of more junior engineers
• Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python
• Build robust market data ingestion and normalization pipelines for high-volume tick data
• Develop pricing libraries for derivatives and structured products, testing against analytical benchmarks
• Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities
• Build comprehensive backtesting and simulation infrastructure
• Collaborate closely with quants, traders, and risk officers to refine models and tooling
• Ensure full observability of trading systems with appropriate logging, metrics, and audit trails

Quantitative Developer – Fintech

SDET

• Design and develop scalable automation frameworks for web, mobile, and API testing using tools such as Selenium, Cypress, Playwright, or Appium.
• Write robust, maintainable automated test scripts that exercise critical business flows and edge cases.
• Develop API automation using REST Assured, Postman/Newman, or equivalent frameworks.
• Create and maintain regression, smoke, sanity, and functional test suites.
• Integrate automation into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) so that tests run reliably on every change.
• Perform cross-browser and cross-platform testing with attention to compatibility and performance.
• Conduct database validation using SQL queries to verify data integrity end-to-end.
• Collaborate closely with developers to improve testability, identify defects early, and shift quality left.
• Support performance testing initiatives using tools such as JMeter, Gatling, or k6.
• Maintain detailed test documentation, traceability, and defect tracking records, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards.
• Perform root-cause analysis on production issues to drive lasting quality improvements.
• Ensure automation strategy aligns with DevOps and release management processes.
• Participate in sprint planning, backlog grooming, and quality-focused retrospectives, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards.
• Continuously improve QA processes, frameworks, and engineering practices, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards.

QA Automation Engineer

Backend Engineer

• Provide end-to-end design, development, and advanced technical troubleshooting for complex enterprise-grade Python applications, reaching beyond routine approaches to solve novel and non-trivial technical problems.
• Develop secure, high-quality, production-ready Python code and implement algorithms that perform reliably within distributed systems, with thoughtful consideration of concurrency, fault-tolerance, and observability.
• Produce architecture and design artifacts for complex applications, ensuring that day-to-day development adheres to defined design constraints, performance requirements, and enterprise standards.
• Develop and optimize data processing logic for large-scale datasets, including extraction, transformation, validation, deduplication, enrichment, and performance tuning to support both batch and near-real-time workloads.
• Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of applications and business processes, surfacing insights that lead to measurable improvements in product, reliability, or cost.
• Develop reporting mechanisms, dashboards, and data visualizations where required to support operational insights, leveraging libraries and tools appropriate to the stakeholder audience.
• Identify hidden defects, performance bottlenecks, and architectural weaknesses, and proactively implement improvements to coding standards, system reliability, and overall maintainability.
• Contribute substantively to engineering best practices, conduct thorough peer code reviews, and participate constructively in architectural design discussions, mentoring less-senior engineers along the way.
• Participate fully in Agile development cycles and CI/CD processes, ensuring consistent, stable, and frequent deployments with appropriate testing, rollback, and monitoring strategies in place.
• Collaborate closely with cross-functional stakeholders — product managers, data scientists, operations engineers, and business analysts — to clarify requirements and translate them into scalable technical solutions.
• Support operational stability through structured incident response, debugging, log analysis, and post-incident reviews in enterprise environments, contributing actionable preventative measures.

Python Developer

• Design and develop Windchill customizations using the Windchill Java API and PTC-recommended customization patterns
• Build custom listeners, services, and processors that extend Windchill behavior
• Develop and configure Windchill workflows, lifecycle templates, and object initialization rules
• Implement custom Info*Engine tasks and adapters for system integration
• Build custom JSP and HTML client-side extensions where required
• Design and develop Windchill business reports using report templates and Cognos integration
• Configure and operate Windchill Customizer’s tools, RBINFO files, and OIRs
• Implement migration scripts for legacy PLM data into Windchill
• Optimize performance of custom code and database queries
• Conduct fit-gap analyses and translate business requirements into clean technical designs
• Adhere strictly to PTC customization best practices
• Provide hypercare and post-go-live support
• Maintain comprehensive technical documentation
• Mentor and coach junior and mid-level engineers

PTC Windchill Developer

• Define organization-wide standards, patterns, and reference architectures for LLM-based applications.
• Design prompt structures, instruction templates, and retrieval strategies for diverse production use cases.
• Architect agentic systems incorporating tool use, planning, memory, and multi-step reasoning.
• Lead the design of retrieval-augmented generation pipelines including chunking, indexing, and reranking strategies.
• Develop evaluation frameworks for prompt quality, agent reliability, and end-to-end task success.
• Build internal tooling and libraries that accelerate LLM application development across teams.
• Establish guardrails, safety filters, and policy enforcement patterns for LLM-powered products.
• Collaborate with model engineering teams on prompt-model co-design and fine-tuning opportunities.
• Conduct technical reviews of LLM application designs across multiple product teams.
• Mentor engineers and applied scientists on prompt engineering and LLM application architecture.
• Lead red-teaming exercises and continuously improve robustness against adversarial inputs.
• Track latency, cost, and quality trade-offs in LLM application design and recommend optimizations.
• Document patterns, anti-patterns, and lessons learned for broad internal reuse.
• Stay current with LLM capabilities, tooling, and research, and translate advances into practical guidance.

Prompt Engineering Architect

Full-stack Engineer

• Lead enterprise-wide architectural initiatives
• Define long-term technology strategy
• Deliver highly scalable, resilient distributed systems
• Drive strategic engineering decisions and serve as a technical authority across multiple teams
• Guide engineering teams on concurrency, scalability, observability, and optimization strategies
• Mentor Staff and Senior Engineers

Principal Software Engineer

• Own the technical operation of the PLM platform — installation, configuration, performance tuning, upgrades, integrations, and high availability
• Partner with functional, engineering, and manufacturing teams to deliver a reliable, performant, and secure PLM ecosystem
• Lead PLM upgrades, patches, and platform migrations with minimal disruption
• Manage PLM application servers, web servers, database connectivity, and method servers
• Operate file vaults, replication services, and CAD data management subsystems
• Implement and tune HA/DR strategies for PLM environments
• Optimize PLM performance through query tuning, caching, indexing, and JVM tuning
• Develop automation scripts using shell, Python, or Ansible to reduce operational toil
• Provide hands-on post-go-live and hypercare support
• Maintain comprehensive, current technical documentation
• Mentor and coach junior and mid-level engineers

PLM Platform Engineer – Windchill, Teamcenter

• Design and develop PeopleSoft customizations using Application Designer, including pages, components, records, fields, and PeopleCode.
• Build Application Engine programs for batch processing, data conversion, and ETL-style workloads.
• Develop Component Interfaces, Integration Broker services, and File Layouts to integrate PeopleSoft with internal and external systems.
• Build SQR and BI Publisher reports, including performance tuning and complex layout design.
• Implement and maintain PeopleSoft Approval Workflow Engine (AWE) configurations and notifications.
• Develop nVision reports for financial reporting requirements where applicable, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards.
• Conduct fit-gap analysis with functional consultants and translate requirements into clean technical designs.
• Adhere to enterprise customization standards and minimize core modifications to ease future PeopleSoft upgrades.
• Lead unit testing, support functional and integration testing, and resolve defects during UAT and hypercare.
• Optimize SQL performance against PeopleSoft data models using explain plans, indexing, and statistics tuning.
• Document technical designs, code, and operational procedures in line with enterprise PeopleSoft governance.
• Provide hands-on post-go-live and hypercare support, working closely with operations teams to triage incidents quickly, identify root causes, and drive durable fixes that improve long-term system stability.
• Mentor junior PeopleSoft developers and act as a technical reference.

PeopleSoft Technical Developer

People Operations

• Responsible for the architecture, installation, configuration, upgrade, and ongoing technical operation of enterprise PeopleSoft environments.
• Own the technical backbone of the PeopleSoft platform — including PeopleTools upgrades, image applications, security configurations, search server operations, and integration with cloud and middleware platforms.
• Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions.
• Raise the bar through code review, design review, and mentorship of junior engineers.
• Install, configure, and operate PeopleSoft environments across development, test, training, and production.
• Lead PeopleTools upgrades, PUM image applications, and patch deployments.
• Manage application servers, process schedulers, web servers (WebLogic), and the integration broker gateway.
• Administer Elasticsearch / OpenSearch deployments supporting PeopleSoft search.
• Perform PeopleSoft system copies, refreshes, and clones across environments.
• Implement and tune database connectivity, including Oracle Database administration tasks in partnership with DBA teams.
• Configure PeopleSoft security at the application, web, and infrastructure layers.
• Operate PeopleSoft Cloud Manager or equivalent automation tooling.
• Design and operate HA/DR strategies for PeopleSoft environments.

PeopleSoft Engineer

• Design and develop integration scenarios using PeopleSoft Integration Broker, including service operations, queues, routings, and handlers
• Build synchronous and asynchronous integrations using REST and SOAP web services
• Develop transformations using XSLT, Application Engine, and PeopleCode handlers, applying disciplined engineering practices
• Configure security on inbound and outbound services, including WS-Security, OAuth2, and certificate-based authentication
• Build robust error-handling and retry mechanisms, including notifications, monitoring, and resubmission workflows
• Develop Component Interfaces and File Layouts to support hybrid integration scenarios
• Lead migration efforts to retire legacy point-to-point integrations to standardized Integration Broker patterns
• Optimize performance of high-volume integrations through queue tuning, parallel processing, and asynchronous design
• Integrate PeopleSoft with cloud applications (Oracle Cloud, Workday, ServiceNow) and middleware (OIC, MuleSoft, Boomi)
• Maintain comprehensive, current technical documentation
• Provide hypercare and post-go-live support, including incident response and root-cause analysis
• Collaborate closely with functional consultants and integration architects
• Mentor and coach junior and mid-level engineers

PeopleSoft Integration Broker Developer

• Design and develop integration flows in Oracle Integration Cloud (OIC) connecting Oracle Cloud Applications (ERP, HCM, CX) with on-premises and third-party systems
• Build app-driven and scheduled orchestrations, including complex mappings, error handling, and recovery flows
• Configure and operate a wide range of OIC adapters (REST, SOAP, FTP, Salesforce, Workday, ServiceNow, custom)
• Develop process automation flows using OIC Process Cloud Service for human-centric workflows
• Build Visual Builder Cloud Service (VBCS) applications integrated with OIC and Oracle Cloud Applications
• Implement API management strategies, including security policies, throttling, and developer portals
• Design robust error-handling and notification patterns, including retries, escalation, and resubmission workflows
• Optimize performance of high-volume integrations through batching, parallelism, and asynchronous patterns
• Migrate legacy Oracle SOA Suite or third-party integrations to OIC
• Collaborate with Oracle Cloud Applications functional teams to align integrations with business processes
• Provide hypercare and post-go-live support, including incident response and root-cause analysis
• Maintain comprehensive, current technical documentation
• Mentor junior developers and contribute to internal integration patterns and standards