Systems Engineer jobs at Wipro Limited - 2267 jobs

Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Job Duties: Provide expert-level support for Workday HCM and Integration functionalities, including core HR, compensation, benefits, talent management, safety incident, Expense, Time tracking & payroll. Create and optimize calculated fields and custom reports within Workday to support business requirements. Leverage expertise in EIB, XSLT v3, Core Connector, PECI, WECI, Workday Studio, APIs, Web Services, Workday Extend, Orchestrate for Integrations, PRISM, Report Designer and Rest URLs to ensure seamless data flow between Workday and other systems which can be used in Integration with third party service vendors, support the entire integration deployment life-cycle and support the same. Stay updated on the latest Workday integration tools and technologies, providing recommendations for process improvements. Troubleshoot and resolve system issues, working closely with users and vendors to identify needs and provide solutions. Collaborate with external vendors, if necessary, to support integration projects. Work with business stakeholders to determine problem areas and overall impact of projects facilitating HR business decisions, must Serve as the subject matter expert on large collections of Workday integrations. Monitor system performance and recommend improvements to optimize user experience. Provide ongoing support for Workday integrations, addressing any issues or discrepancies that may arise. Troubleshoot and resolve integration-related incidents in a timely manner. Full-time telecommuting is an option. Minimum Requirements: Bachelor's degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and five (5) years of progressively responsible experience in the job offered or in any occupation in related field. Salary: $213,512.00 - $234,863.00 per annum. Submit resume with references using the apply button on this posting or by email to: Req.# 184.3 at: ATTN: HR, *******************. Application Deadline 1/30/2026 #LI-DNI Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: Salary: $213,512.00 - $234,863.00 per annum. Payment frequency: Annual SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. Apply for this position Senior Workday HCM Integration Engineer 2 Locations #J-18808-Ljbffr

At Truth Systems, we're building the only trust and safety software any organization will ever need. A protection layer for every individual. We're laying that foundation with AI Governance. Our product Charter is an agent that monitors and flags misuse of AI in line with firm policies and client rules in real time. We're building always-on, real-time systems that keep people safe and organizations compliant without slowing down their work. We are: Small and well-funded. We've raised $4M from world-class investors like Gradient Ventures, Lightspeed, The Legaltech Fund, Y Combinator, and Pear VC. We are currently a team of 4. We are hiring thoughtfully, with ~3 people in the next 6 months. Intensely trustful + high ownership. We optimize for impact per person by requiring high ownership from each team member. We hire experts, ambitious problem-solvers, and generally unstoppable people, and we place a lot of trust in them. We prefer short (or no) meetings, full autonomy, and individualized schedules. Your Mission Over the next 12-18 months, you will embed with customers to help firms navigate and uncover risk surfaces within their organizations. This role blends engineering and customer empathy. You'll work directly with clients to understand workflows, translate them into software, and ensure successful adoption. Outcomes Customer integrations from 0 → 1. Lead deployments of our agents and backend systems in live customer environments. Deliver reliable, secure, and fast integrations. Feedback-driven development. Translate client insights into product improvements and new features. Influence our roadmap through real-world usage. Customer Partnership: Collaborate deeply with clients to identify their pain points, propose solutions, and deliver measurable value. Travel for Deployment and Collaboration: Travel to meet customers across the U.S. (e.g., NYC, Atlanta, Chicago, Seattle, Ohio, and more) for implementations, feedback sessions, and training. Competencies Technical and hands-on: You've spent 1+ years building real products in production - shipping code, wrestling with weird APIs, and making things work in messy, real-world stacks. Full-stack curious: You're fluent in TypeScript/JavaScript (React or Next.js for lightweight UIs) and comfortable with at least one backend language like Python for integrations and automations. Deeply empathetic (must be): Both our team and our customers require empathetic and low-ego people. Some of our users' careers depend on our product being ‘right', so trusting and listening to them is our most important skill. Independent and process building (must be): We don't have a lot of structure. You'll build many processes and set standards yourself, and everyone we hire after you will follow them. Adventurous: You're comfortable with the unknown, love building new experiences, and don't mind travel when it helps you get closer to the problem. Our team's roots span 4+ continents - we like working (and learning) with people from everywhere. Why Join Truth Systems Autonomy: You'll have full ownership of what you build. We trust you to make the right calls, set your own pace, and push projects from idea to production without red tape. Output-focused, not input-focused: We care about impact, not hours. Now that is not to say there will not be days when hours don't get long, but you'll be judged by what you deliver and how it moves the needle - not how long you sit in front of a screen. Cutting-edge meets meaningful: You'll be working at the edge of AI - designing systems that redefine how humans interact with intelligence. At Truth Systems, we care deeply about helping knowledge workers trust AI and move them toward safer, more responsible, and transparent use. Logistics Salary: $170K-$250K Equity: 0.3-1% Location: In-person in San Francisco, with regular travel to customer sites across the U.S. Perks: Meals, housing/relocation, equipment, and benefits included Work Authorization: We cannot sponsor visas at this time #J-18808-Ljbffr

A leading digital marketplace bank in San Francisco seeks a Solutions Engineer to be a trusted technical partner throughout the integration lifecycle. You will collaborate with internal teams and external partners, ensuring seamless API integrations and delivering technical presentations. The ideal candidate has over 4 years of experience in solutions engineering and a strong understanding of API technologies. This role offers a competitive salary and comprehensive benefits in a hybrid work model. #J-18808-Ljbffr

A leading financial services company is seeking a Staff ServiceNow Engineer to develop and enhance its ServiceNow platform. The role involves leading the full lifecycle of solutions, collaborating across teams, and optimizing user experiences. Candidates should have 7+ years of ServiceNow experience and a Bachelor's degree in a related field. Join a dynamic team making a significant impact in personal finance. #J-18808-Ljbffr

A leading financial institution in the United States is seeking a Distinguished AI Engineer in San Francisco, CA. This role involves developing AI-powered products and requires at least 8 years of experience in AI and ML algorithms. The ideal candidate is proficient in programming languages like Python and Java, with a strong focus on optimizing AI systems for performance and scalability. This position offers a competitive salary range of $293,600 - $335,100 and comprehensive benefits. #J-18808-Ljbffr

A leading financial services provider in San Francisco is seeking a Technical Specialist to develop AI and ML solutions. You'll need a strong foundation in engineering and at least 4 years of experience programming in Python and deploying AI on cloud platforms. The ability to optimize solutions and a passion for AI research are essential. This role offers a competitive compensation package with health and financial benefits. #J-18808-Ljbffr

A financial technology company is looking for a Director of Engineering, Trading Products to shape and scale the engineering organization. This role involves leading high-performing teams, defining the technical strategy, and collaborating across departments to build user-focused financial products. Candidates should have over 6 years of experience in engineering leadership, a background in distributed systems, and a passion for financial technology. The position is located in New York or Menlo Park, requiring in-person attendance at least 4 days a week. #J-18808-Ljbffr

A state governmental agency in Chelsea, Massachusetts is seeking an Accounts Management Analyst II to manage employee provisioning and deprovisioning, ensure timely completion of requests, and support end-users with IT issues. The ideal candidate should have extensive experience in technical support, strong knowledge in Windows, Azure, and service management tools like ServiceNow, along with excellent problem-solving and communication skills. This full-time role offers a salary range between $77,290 and $116,401 annually. #J-18808-Ljbffr

A technology firm focused on AI safety is seeking a candidate for a mission-driven role that melds engineering with customer empathy. You will be responsible for leading client integrations of trust and safety software, ensuring successful product adoption while also translating client feedback into actionable improvements. This in-person role is based in San Francisco and includes regular travel across the U.S. Competitive salary and equity are offered. #J-18808-Ljbffr

Job Title: Engineering Technician - Electro-Optical Manufacturing & R&D Support Department: Engineering / Research & Development Reports To: Engineering Manager or R&D Lead The Engineering Technician supports both manufacturing and research & development activities within an electro-optical product environment. This role bridges hands-on production support and prototype development, assisting engineers in the design, testing, integration, and improvement of electro-optical systems. The ideal candidate is detail-oriented, technically skilled, and comfortable working in a fast-paced environment involving precision optics, electronics, and mechanical assemblies. Key Responsibilities Manufacturing & Engineering Support Support production of electro-optical assemblies and subassemblies, including optical, electronic, and mechanical components Assist in process development, documentation, and continuous improvement initiatives Troubleshoot manufacturing issues and collaborate with engineering to implement corrective actions Perform assembly, alignment, calibration, and testing of electro-optical systems Maintain engineering builds, fixtures, and test setups Research & Development Support Assist engineers with prototype builds, experimental setups, and feasibility testing Support optical and electronic testing, data collection, and analysis Modify existing designs or components under engineering direction Document test procedures, results, and design changes Participate in design reviews and contribute practical manufacturing feedback Testing & Documentation Execute functional, environmental, and performance testing per engineering specifications Operate and maintain test equipment such as optical benches, oscilloscopes, power meters, and interferometers Create and update work instructions, test procedures, and engineering documentation Ensure compliance with quality standards and configuration control requirements General Duties Maintain cleanroom or controlled lab environments as required Follow ESD, safety, and quality procedures Support cross-functional teams including Quality, Manufacturing, and Supply Chain Required Qualifications Associate degree in Engineering Technology, Electronics, Optics, or related technical field (or equivalent experience) 3+ years of experience as an Engineering Technician in an electro-optical, photonics, electronics, or related manufacturing environment Hands-on experience with electro-optical assemblies and test equipment Ability to read and interpret engineering drawings, schematics, and technical documentation Strong mechanical aptitude and troubleshooting skills Preferred Qualifications Experience supporting R&D or new product development programs Familiarity with optical alignment, laser systems, imaging sensors, or photonic components Experience with prototype builds and low-volume manufacturing Knowledge of GD&T, SPC, and basic data analysis Experience working in regulated environments (ISO, AS9100, FDA, etc.) Skills & Competencies Strong attention to detail and documentation discipline Ability to work independently and collaboratively in a team environment Effective communication with engineers and manufacturing personnel Comfortable working with tight tolerances and precision components Adaptable to changing priorities and experimental work Work Environment Combination of manufacturing floor, laboratory, and cleanroom environments May require handling delicate optical components and working with lasers or high-voltage equipment Occasional overtime or schedule flexibility may be required to support development milestones

Continuously assess access controls to align with Zero Trust principles and regulatory requirements Mentor peers, share knowledge, and help establish LendingClub-wide security best practices* 6+ years of experience in security operations, engineering, or related infrastructure security roles in a medium-to-large enterprise* Bachelor's degree or higher in a related field; or equivalent work experience* Proven expertise with vulnerability scanning tools (Qualys, Wiz, Orca, Upwind) and EDR platforms (Crowdstrike, Tanium, SentinelOne, etc.)* Strong knowledge of AWS security services (IAM, GuardDuty, Security Hub, WAF, KMS, VPC security)* Hands-on experience with SIEM & logging platforms (Splunk, ELK, CloudWatch, Kibana)* Proficiency in automation & scripting (Python, Bash, Go, PowerShell); experience with IaC (Terraform, Ansible, CloudFormation) is a MUST* Solid understanding of Windows & Linux architectures and security hardening baselines (CIS, STIGs)* Familiarity with security tools (Kali, Nmap, Wireshark) and adversary techniques (exploitation, lateral movement, privilege escalation)* Strong written and verbal communication; able to present technical findings to both engineers and executives* Security certifications (CISSP, GSEC, CEH, OSCP) a plus**Work Location** San Francisco, Lehi The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role's team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role's success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level. **Time Zone Requirements** Local hours (PT, MT) While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. **Travel Requirements** As needed travel to LendingClub offices and/or other locations, as needed. **Compensation** The target base salary range for this position is 157,000-200,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). We're creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more. #LI-Hybrid #J-18808-Ljbffr

A financial technology company is looking for a Director of Engineering, Trading Products to shape and scale the engineering organization. This role involves leading high-performing teams, defining the technical strategy, and collaborating across departments to build user-focused financial products. Candidates should have over 6 years of experience in engineering leadership, a background in distributed systems, and a passion for financial technology. The position is located in New York or Menlo Park, requiring in-person attendance at least 4 days a week. #J-18808-Ljbffr

* You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.* Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.* You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.* You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies* At least 4 years of experience programming with Python, Go, Scala, or Java* 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)* Experience designing, developing, delivering, and supporting AI services* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

A financial services company is seeking a Distinguished AI Engineer in San Jose to develop and support AI-powered products that enhance customer interactions. The ideal candidate will have 8+ years of experience in AI development, expertise in programming languages like Python or Java, and a passion for leading scalable AI solutions on cloud platforms. This role offers a chance to work with cutting-edge AI technologies and make a significant impact in the banking sector. #J-18808-Ljbffr

* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies* At least 10 years of experience programming with Python, Go, Scala, or Java* 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)* Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems* Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production* Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

* You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.* Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.* You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.* You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies* At least 10 years of experience programming with Python, Go, Scala, or Java* 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)* Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems* Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production* Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers* Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

* Articulate and evangelize a bold technical vision for your domain* Decompose complex problems into practical and operational solutions* Ensure the quality of technical design and implementation* Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability* Continue learning and injecting advanced technical knowledge into our community* Handle several projects simultaneously, balancing your time to maximize impact* Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community* Define and drive technical strategy and roadmap for our systems and platforms that power Capital One's inbound card and loan capabilities across the customer experience, payment profiles, scheduling, fulfillment and money movement rails.* Partner cross-functionally with client, cloud infrastructure, and machine learning platform teams to align on and co-develop technical solutions.* Architect and build highly secure & scalable systems that enable server-driven product experiences across devices, with exceptional reliability and availability.* Design high-throughput, low-latency services capable of handling millions of concurrent requests.* Design and implement API & federated BFF (Back-end for Front end) strategy for efficient data access (fetching, caching, request coalescing, etc.) between backend services and clients, with democratized data schema contribution.* Architect enhanced Observability and Monitoring frameworks to enable rapid issue detection, debugging and resolution, across the entire product system stack.* Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation.* Leverage proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company* Bachelor's Degree* At least 9 years of experience in software engineering* At least 9 years of experience designing distributed systems, backend architecture, and API platforms* At least 5 years of experience with public cloud technologies* Master's Degree in Computer Science or a related field* 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript, TypeScript, Swift,* 7+ years of experience in event-driven systems and architecting scalable, fault-tolerant, highly-available services* 7+ years of experience in building high-performance API platforms and federated BFF architectures (GraphQL, REST, API gateways, gRPC, caching, and streaming).* 7+ years of experience with cloud-native engineering (AWS, Azure, or GCP), containerization (Docker, Kubernetes) and automated deployment Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr