Suno Api Docs Jobs in Usa

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

Essential Duties and Responsibilities

• Work closely with business stakeholders toidentifyautomation opportunities.
• Lead the technical set up and integration ofconversational AI platform & agent development studiowithin the enterprise environment.- copilot agents preferred, deploying across enterprise not for personal use.
• Analyze business processes, data flows, and system architectures to support AI solution design.
• Support configuration and deployment of AI-powered agents,applications,and workflows.
• Design,build,and customize AI agents to automate workflows and improve productivity.
• Utilizedata platforms such asMicrosoft Fabric, Snowflake, Databricks, AWSfor data orchestration, governance, and compliance.
• Ensure seamless interoperabilityof agentsacrossMicrosoft and other enterprise applications asrequired.
• Evaluateand implement secure API integrationswith enterprise systems using APIsandconnectors to enable data exchange and workflow automation.
• Apply best practices for data security, identity management, and compliance with organizational and regulatory standards.
• Apply analytical judgment to assess feasibility, scalability, data readiness, and risks of AI use cases.
• Collaborate withcybersecurityand product teams to build robust AI solutions
• Test new AI agent enhancements, integrations, and fixes prior to release to ensure quality and expected behavior.
• Track and analyze performance metrics, including response quality, speed, reliability, andcost-effectivenessof AI agents and automated workflows.
• ContinuouslyoptimizeAI solutions based on performance data, user feedback, and evolving business needs.
• Document requirements, solution designs, architecture diagrams, and integration approaches in a clear and concise manner.
• Contribute to internal standards, reusable patterns, and best practices for AI agent and automation development.
• Support knowledge sharing and enablement across technical and business teams.

Qualifications Expected for Position

• Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related fieldor equivalent combination of education and relevant professional experience.
• Advanced certifications or coursework in cloud platforms, data engineering, or AI/ML preferred.
• 3+years of experience in solution architecture, systems integration, automation engineering, or applied AI roles.
• 1+ year demonstrated ability to design, build, and deployAI-poweredagents, workflows, or conversational applications.
• Proven experience working directly with business stakeholders to translate operational needs into scalable technical solutions.
• Hands-on experience implementing enterprise automation or conversational AI solutions across multiple departments or use cases.
• Experienceoperatingin regulated orsecurity-consciousenvironments, supporting compliance and governance requirements.
• Strong experience designing and implementing enterprise system integrations using APIs, connectors, and automation frameworks.
• Experience working with modern data platforms (e.g.,Microsoft Fabric, Snowflake, Databricks, AWS) to support data orchestration, access control, and compliance.
• Solid understanding of identity management, access controls, and data security best practices.
• Ability to assess AI solution feasibility, including data readiness, scalability, performance, and cost considerations.
• Strong analytical andproblem-solvingskills with the ability to apply sound judgment to ambiguous or emerging AI use cases.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to nontechnical audiences.

The base salary range for this position is$130,000 - $140,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Product Manager to lead the strategy and execution for identity graph and data partnership initiatives, critical to enabling high-performance, privacy-compliant targeting across our CTV advertising platform. This role will focus on developing and refining identity resolution capabilities, managing graph-based data integrations, and expanding the reach and accuracy of our audience recognition and measurement infrastructure.

Success in this role will require a blend of deep technical expertise in identity data, graph modeling, and data architecture, as well as strong product instincts and cross-functional leadership skills. You will work closely with Engineering, Data Science, and external data partners to build a resilient and scalable identity foundation for precise audience targeting and measurement.

What you'll do:

• 
  
• Own the identity product strategy at tvScientific
  
  • 
    
  • Lead the product vision for tvScientific's identity graph, enabling persistent, multi-device recognition across CTV and digital channels.
    
  • tvSci Identity will service multiple teams throughout the product and engineering ecosystem, it will be your role to align with leadership of those teams to gather requirements, define goals and monitor success.
    
  • Partner with Data Engineering and Data Science to architect and optimize graph-based data models that represent user identity, household relationships, and device linkages.
    
  • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows.
    
  
  
  
• Grow identity data partnerships
  
  • 
    
  • Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities.
    
  • Work with Legal, Security, and Data teams to ensure all data partnerships comply with CCPA, GDPR, and other global privacy standards.
    
  • Lead the technical integration and operationalization of new identity and graph enrichment partners, ensuring reliable ingestion, mapping, and deployment.
    
  • Maintain an ongoing view of the identity and data ecosystem, and recommend partnership or build strategies accordingly.
    
  
  
  
• Deliver world-class adtech product
  
  • 
    
  • Write detailed product requirements, data specifications, and user stories for identity graph services and data integration projects.
    
  • Coordinate with Engineering and Infrastructure teams to deliver performant graph storage, traversal, and querying systems.
    
  • Support Sales, Marketing, and Customer Success with technical narratives that explain the role and value of identity resolution in CTV targeting.
    
  • Define and monitor key metrics related to graph quality (e.g., match rates, accuracy, persistence), identity coverage, and performance impact.
    
  
  
  
• Drive Industry Leadership
  
  • 
    
  • Stay current with advancements in privacy-enhancing technologies (PETs), identity standards, and regulatory shifts impacting identity data use in advertising.
    
  • Represent tvScientific in industry forums and with partners to position the company as a leader in CTV identity and data interoperability.
    
  
  
  

What we're looking for:

• 
  
• Experience in product management, technical partnerships, or solutions engineering roles focused on data-driven products, audience targeting, or marketing technology.
  
• Strong background working with Data Engineering and Data Science teams to operationalize audience strategies.
  
• Expertise in audience segmentation, identity resolution, data onboarding, and activation workflows.
  
• Experience sourcing, integrating, and managingthird-party data partnerships.
  
• Wide array of data analytics experience and a tenacity for driving to comprehension and organization of large datasets.
  
• Solid technical acumen - including APIs, data pipelines, audience graphs, and privacy frameworks. Ideal candidates should be able to operate directly on the datasets without engineering support.
  
• Exceptional communication skills, translating technical details into business value.
  
• Experience within the adtech ecosystem is required, with Connected TV (CTV) experience a strong plus.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Keyfactor

Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Title: Integration Engineer

Location: United States; Remote

Experience: Mid Level

Job Function: Integrations

Employment Type: Full-Time

Industry: Computer and Network Security

Job Summary

Keyfactor has an opening for a full-time Integration Engineer to assist our sales and delivery organizations by building integrations between our core products and customer enterprise systems (web servers, networking platforms, ticketing systems, cloud hosting environments, CI/CD platforms,etc.) and IoT devices and platforms (Azure IoT Hub, AWS IoT, PTCThingworx, etc.)Integrationsprimarily involve extendingKeyfactorPKI lifecycle management intocustomer enterprisesystems.

The position will involve working with Sales Engineers to create prototype integrations during the demonstration and proof of concept phases of the sales cycle, and with Platform Solutions Architects during the product delivery phase to create production-quality integrations. The position involves directly working with clients todeterminetheir specific technical integration requirements and requires software development skills to implement those requirements. In addition, the candidate willassistin the creation of solution guides and training labs for use by our delivery organization and technology partners.

Applicants must hold US citizenship or US permanent resident status.

Job Responsibilities

• 
  
• Work closely with sales engineering and delivery teams to design and develop code-based integrations between the Keyfactor platform and customer enterprise systems and IoT device management platforms.
  
• Work with prospective and existing customers todeterminetechnical and operational requirements for Keyfactor integrations.
  
• Provide customers, partners, and Keyfactor support personnel with integration documentation.
  
• Create solution guides and training labs.
  
• Be flexible and effectively manage time and tasks in a dynamic and rapidly growing company.
  

Minimum Qualifications, Education, and Skills:

• 
  
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
  
• Fundamental proficiency with industry-standard operating systems and business application suites.
  
• Software development using the Microsoft .NET stack (C#, IIS, MSSQL, AD/Entra, PowerShell, etc.)
  
• Internet systems development using HTTP and web services. (Experience consuming 3rdparty APIs)
  
• Willingness to learn new languages, technologies, and APIs as needed to meet customer requirements.
  
• Familiarity with digital certificates and their usage.
  
• Strong interpersonal communication and writing skills.
  
• Technical troubleshooting and problem-solving skills.
  
• Effective time management, projectmanagementand prioritization skills. Ability to work independently.
  
• Experience with DevOps technologies like Kubernetes orHashicorpVault andTerraforma plus.
  
• Familiarity with Public-Key Infrastructure (PKI) or cryptography is a plus.
  

#LI-NA1

Compensation

Salary will be commensurate with experience.

Culture, Career Opportunities and Benefits

We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.

Here are just some of the initiatives that make our culture special:

• 
  
• Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  
• Comprehensive benefit coverage globally.
  
• Generous paid parental leave globally.
  
• Competitive time off globally.
  
• Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  
• DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  
• The Keyfactor Alliance Program to support DEIB efforts.
  
• Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  
• Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  
• Monthly Talent development and Cross Functional meetings to support professional development.
  
• Regular All Hands meetings - followed by group gatherings.
  

Our Core Values

Our core values are extremely important to how we run our business and what we look for in every team member:

Trust is paramount.

We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.

Customers are core.

We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.

Innovation never stops, it only accelerates.

The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.

We deliver with agility.

We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.

United by respect.

Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.

Teams make "it" happen.

Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.

Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.

REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.

Keyfactor Privacy Notice

• 
  
• Partner with Group Insurance business, product, and technology stakeholders to understand contract automation objectives
  
• Identify, document, and validate field-level data elements required for automated contract generation
  
• Create data mapping specifications including transformation rules, validation criteria, and business logic
  
• Leverage AI-assisted tooling to accelerate data discovery, mapping analysis, and documentation
  
• Facilitate working sessions with business partners to validate data definitions, mappings, and contract logic
  
• Document end-to-end document generation workflows, including system interactions and exception handling
  
• Translate validated requirements into consumable artifacts for engineering and quality teams
  
• Support User Acceptance Testing (UAT) and implementation readiness activities
  
• Communicate risks, dependencies, and decisions across cross-functional teams
  

• 
  
• 5+ years of experience as a Business Analyst or Business Systems Analyst
  
• Strong experience with data mapping, data validation, and integration-driven solutions
  
• Proven ability to validate requirements and outcomes with business partners
  
• Strong analytical, facilitation, and communication skills
  

• 
  
• Experience supporting contract automation or document generation initiatives
  
• Familiarity with AWS Cloud, APIs, and SharePoint, document management, or content services platforms
  
• Experience leveraging AI tools to support analysis and requirements documentation
  

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Manager’s job also includes ensuring that the product supports the company’s overall strategy and goals.

This role supports an eCommerce fulfillment environment that manages pickup, third-party delivery (Instacart and DoorDash), and operations. The team is building a platform focused on order submission, selection, and routing, with an emphasis on operational reporting, process optimization, and demand forecasting.

About the Role

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met.

Responsibilities

• Manage all technical aspects of product through product lifecycle
• Work directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverables
• Create, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organization
• Identify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metrics
• Elicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceable
• Set criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are delivered
• Lead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)
• Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)
• Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planning
• Define and resolve dependencies, issues and risks and identify impacted areas through team collaboration
• Break down a medium to complex vision into smaller projects, initiatives or features

Qualifications

Skills: Must-Have

• Product strategy & prioritization
• Data platform fundamentals
• ML literacy
• Stakeholder communication
• Designing for expert users without alienating new ones
• Clear documentation and onboarding flows
• Understanding user workflows—not just APIs

Strong Differentiators

• MLOps understanding
• Experimentation and metrics fluency
• Responsible AI leadership
• Platform UX thinking
• Stakeholder Management

Required Skills

• Align business leaders, engineers, data scientists, legal/compliance, and ops
• Translate technical constraints into business-relevant language
• Manage expectations around ML uncertainty and iteration

Preferred Skills

• Data Concepts You Should Be Fluent In
• Data types: structured, semi-structured, unstructured
• Data pipelines (batch vs. streaming)
• Data quality dimensions: accuracy, completeness, timeliness
• Data lineage and observability
• Metadata, schemas, and versioning
• Platform Thinking
• APIs, SDKs, and self-service capabilities
• Multi-tenant vs. single-tenant design
• Performance, scalability, and cost tradeoffs
• Internal vs. external (customer-facing) platforms
• Machine Learning Fundamentals Every PM Should Know
• Supervised vs. unsupervised learning
• Training vs. inference
• Features, labels, and training data
• Model evaluation metrics (precision, recall, AUC, RMSE, etc.)
• Overfitting vs. generalization
• ML Product Realities
• ML outputs are probabilistic, not deterministic
• Model performance degrades over time (data drift, concept drift)
• Improving models often requires better data, not better algorithms
• ML development is experimental and iterative
• Areas that must be understood
• Model training pipelines
• Model deployment patterns (batch, real-time, edge)
• Model monitoring and retraining
• Versioning of models and data
• Rollbacks and experimentation (A/B tests, canary releases)

Job Title: Senior Enterprise Applications Engineer

Location: Secaucus, NJ (Hybrid)

Salary: $160K – $185K + Bonus

High End Fashion Apparel company seeks Senior Enterprise Applications Engineer to join their Team!

Responsibilities

• Serve as senior technical owner for the Salesforce Commerce Cloud conversion to Shopify Plus replatform from an enterprise integration perspective.
• Design, build, and debug Shopify Plus integrations across ERP, OMS, POS, financial systems, and downstream analytics platforms.
• Own production stability during cutover and post-launch, acting as Tier-3 escalation for cross-system incidents.
• Share responsibility with the development and integrations team for existing enterprise integrations beyond Shopify.
• Build and maintain APIs, middleware, automation, and backfills supporting enterprise workflows.
• Partner closely with the Enterprise Applications Support team to ensure clean escalation paths and durable fixes.
• Work closely with BI & Analytics to validate data flows, reconcile system-of-record discrepancies, and remediate upstream integration issues.
• Use SQL-based analysis to ensure operational and financial data accuracy across systems.
• Serve as the senior escalation point for complex integration and platform issues.
• Cross-train development, integration, and support teams on Shopify Plus integrations and enterprise patterns.
• Establish documentation, standards, and repeatable support models to reduce single-point-of-failure risk.

Qualifications

• Demonstrated, hands-on experience with Shopify Plus, including production integrations with ERP, OMS, POS, or financial systems.
• Senior-level experience building and supporting enterprise integrations using APIs and event-driven architectures.
• Strong SQL skills for data validation, reconciliation, and debugging across systems of record.
• Strong experience with Python for integrations, automation, backfills, and data processing.
• Experience acting as an escalation point for production incidents involving multiple systems.
• Experience with .NET in ERP environments (e.g., BlueCherry or similar).
• Retail, ecommerce, or omnichannel business experience.
• Experience working alongside external agencies during platform implementations.
• Experience working with dbt and modern ELT/data transformation tools (e.g., dbt Cloud, Fivetran, Airflow or similar), including supporting and troubleshooting downstream analytics and data models.

Acunor is Hiring: Product Analyst – P&C Insurance

Location: Jersey City, NJ (Hybrid)

Type: Contract

We are looking for a Product Analyst with strong P&C insurance experience to support a Generative AI initiative involving integrations across frontend systems, MuleSoft APIs, and backend platforms.

Must Have Skills

8+ years experience as Product Analyst or BA in P&C Insurance

Strong knowledge of policy, claims, and underwriting

API integration experience (MuleSoft preferred)

Agile experience with tools like JIRA and Confluence

Strong documentation skills and ability to explain insurance projects clearly

Nice to Have

Guidewire or Duck Creek experience and exposure to AI or Generative AI initiatives.

We are seeking a talented Software Engineer 3 (Power BI Developer) to join a leading global financial institution on a long-term contract in Wilmington, DE. This role is ideal for someone with advanced Power BI skills, including DAX, Power Query/M, and complex data modeling, who has experience building executive dashboards and turning complex data into actionable insights. The position involves designing enterprise-level BI solutions, integrating data from multiple sources, and delivering analytics on toolchain adoption, productivity, and business impact. Candidates should have experience with platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools, and be comfortable mentoring junior team members and collaborating with cross-functional teams. This is an exciting opportunity to influence decision-making and contribute to strategic initiatives at a senior level.

Job Title: Software Engineer 3 (Power BI Developer)

Job Location: Wilmington, Delaware 19803

Job Duration: 12 months (with possible extension)

Only W2 Candidates

Join a leading global financial institution and work with some of the brightest minds in the industry. This long-term contract opportunity offers a competitive benefits package and a chance to contribute to innovative solutions in the financial services space. If you’re passionate about leveraging data to drive business impact and enjoy creating insights that influence key decisions, this role is for you.

Required Skills & Experience

• 4+ years of software engineering experience, or equivalent through consulting, training, military service, or education.
• 6+ years of Power BI experience, with at least 3 years focused on advanced development in enterprise environments.
• Proven expertise in designing BI solutions for enterprise software development ecosystems, toolchain adoption, and DevOps maturity.
• Experience connecting Power BI to various toolchain platforms (e.g., Jira, GitHub, Azure DevOps, CI/CD tools) and designing KPIs for adoption, onboarding, and usage.
• Advanced proficiency in DAX, Power Query/M, and complex data modeling for management-level reporting.
• Experience building executive dashboards covering adoption, risk, compliance, automation, productivity, and cost savings.
• Strong data integration skills, including ETL, API extraction, direct query, and on-prem/cloud data source integration.
• Deep understanding of enterprise data governance, security, access controls, and reporting best practices.
• Excellent communication skills with experience collaborating with both technical and business stakeholders.
• Demonstrated leadership in project delivery, solution architecture, and mentoring junior team members.

Desired Skills & Experience

• Expertise in enterprise DevOps, SDLC/ALM toolchains, engineering productivity tooling, or related reporting domains.
• Experience supporting executive or board-level reporting initiatives.
• Microsoft Power BI and/or Power Platform certification.
• Experience in highly regulated or financial services environments.

Key Responsibilities

• Participate in moderately complex software engineering initiatives and contribute to planning and delivery of enterprise solutions.
• Review, analyze, and resolve complex software engineering and BI challenges.
• Collaborate with engineering, operations, and transformation teams to gather requirements, define key metrics, and ensure data accuracy for management reporting.
• Architect, develop, and maintain advanced Power BI dashboards and reports focused on toolchain adoption, process maturity, and business impact.
• Serve as the enterprise subject matter expert in toolchain reporting, with knowledge of common platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools.
• Develop frameworks, data models, and methodologies to assess adoption and maturity metrics (e.g., tool usage, process adherence, automation coverage, delivery impact).
• Integrate data from multiple sources—including APIs, data lakes, internal databases, and vendor platforms—into Power BI using advanced transformations and DAX.
• Deliver meaningful executive and operational insights with robust drill-down capabilities for decision-making.
• Partner with business and IT leadership to present findings, recommend actions, and evolve analytics in alignment with strategic objectives.
• Define, document, and enforce best practices for management reporting, including data governance, security, and lifecycle management.
• Mentor and coach junior engineers and analysts on Power BI and toolchain reporting best practices.
• Maintain, monitor, and continuously enhance reporting solutions as enterprise needs evolve.
• Provide occasional after-hours support for critical reporting or deployment issues.

Job Title: QA Automation Engineer II

Location: Jersey City, NJ(Hybrid)

Duration: 9+ Months (Extendable)

("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”)

A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits.

Job Description:

• 7+ years of proven experience in software quality assurance with a strong focus on test automation.
• 2+ years of experience in testing and validating ETL processes and data workflows, including data integrity, transformation validation, and end-to-end data pipeline testing.
• Strong experience with automation frameworks using Selenium WebDriver with Java or C#.
• Hands-on experience in API and web services testing using automation tools such as Apache JMeter and Rest Assured.
• Experience designing, developing, and maintaining automated test suites for UI, API, and integration testing.
• Experience executing and managing automated test scripts within CI/CD pipelines using tools such as Jenkins and Bamboo.
• Ability to integrate automated test execution into continuous integration and continuous delivery workflows to support automated validation during builds and deployments.
• Experience analyzing test results, troubleshooting failures, and improving reliability of automated test frameworks.
• Good understanding of test orchestration, and automated test reporting in CI/CD environments.
• Good to have: Experience testing applications deployed in cloud environments such as Amazon Web Services.
• Strong collaboration skills with development, DevOps, and QA teams to ensure high-quality software delivery.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: Java Backend Developer

Location: Alpharetta, GA

Job Description:

VisionNext/VisionPlus/Cards or Payments Experience is needed

Java, Spring Boot Microservices with Knowledge on AWS

Key Responsibilities

• Design, develop, and optimize backend services for card payments and transaction systems, ensuring low latency, fault tolerance, and multi-region resiliency.

• Build high-throughput APIs and microservices using modern Java frameworks (Spring Boot, Reactor).

• Collaborate closely with product, architecture, and SRE teams to evolve Vision Next / VisionPLUS services for cloud-native, real-time scalability.

• Use AWS services (ECS, Lambda, RDS, ) to architect resilient, secure, and observable applications.

• Write efficient algorithms for transaction routing, settlement, reconciliation, or fraud-detection modules.

• Contribute to system design sessions and architecture decisions, applying deep reasoning to scalability trade-offs, consistency models, and data partitioning.

• Evaluate and optimize application throughput, concurrency handling, and API lifecycle management across multi-region clusters.

• Implement DevOps and CI/CD automation for build, test, and deployment pipelines (GitHub Actions, Jenkins, or CodePipeline).

• Mentor junior engineers, conduct code reviews, and drive engineering excellence through reusable design patterns.

Required Qualifications

• Bachelor’s or master’s degree in computer science or related field.

• 7+ years of backend engineering experience in payments, fintech, or high-transaction enterprise systems.

• Strong proficiency with Java / Spring Boot, data structures, algorithms, and system-level design principles.

• Solid understanding of AWS core services and architectural best practices for scalable distributed systems.

• Experience with multi-region, active-active, or near-real-time architectures for payment or settlement systems.

• Deep debugging, profiling, and performance optimization skills in concurrent, distributed environments.

• Strong analytical reasoning and data-driven problem-solving mindset.

Preferred Qualifications

• Expertise in Python programming for backend development and automation.

• Experience with Vision Next or Vision PLUS modules (CMS, ASM, or TRAMS) or other card processor platforms.

• Familiarity with payment rails (Visa, Mastercard, RTP, ACH) and transaction lifecycle management.

• Knowledge of Kafka, Redis, or Aerospike for event-driven processing and caching.

• Exposure to container orchestration (ECS, EKS, or Kubernetes) and observability platforms (Grafana, Datadog, or OpenTelemetry).

• Understanding of PCI-DSS, data encryption, and regulated financial data operations.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.