Role Description We at Coforge are hiring a Power Platform Specialist with the following skill set. - Design and develop advanced Power BI dashboards and Power Apps to visualize complex industrial engineering data. - Configure and manage the Microsoft Power Platform environment, ensuring seamless integration with the Microsoft Fabric ecosystem. - Collaborate with Data Engineers and Data Scientists to consume processed data models and LLM outputs for reporting. - Build internal tools and automated workflows that facilitate human validation of AI-driven engineering calculations. - Optimize report performance and maintain data integrity across all visualization and application layers. Qualifications - Expertise in Power BI: Advanced report creation, data modeling, and data visualization techniques. - Power Apps Development: Experience building canvas and model-driven applications for internal business use. - Fabric Integration: Practical experience connecting Power Platform tools to the Microsoft Fabric environment. - Data Transformation: Proficiency in Power Query (M) and basic DAX for data preparation. Requirements - Power Automate: Experience creating automated workflows to streamline data processes and notifications. - Advanced Analytics: Proficiency in DAX and SQL for complex data modeling and calculations. - Cloud Ecosystem: Familiarity with the Azure platform and Entra ID (formerly Azure AD) for authentication. - UI/UX Design: Ability to create intuitive and user-friendly interfaces for technical and engineering data. - Domain Knowledge: Interest or experience in industrial engineering or hydraulics data visualization. - Cross-functional Collaboration: Experience working within integrated pods alongside Data Engineers and AI developers. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• AI Platform Build: Design and build end-to-end internal AI platform • Ship the Product: Architect a unified AI workspace with easy access to tools • Governed Intelligence: Partner with data/security stakeholders for role-based access • Marketplace of Skills: Create an internal app store for reusable skills and agents • Memory That Works: Architect a context system for known user activities • Internal AI Tooling Enablement: Partner with AIOps Engineer to advance AI tool adoption • Builder Support: Help internal builders maximize existing tools through templates/examples • Embedded Discovery: Engage with users to identify how the platform can improve workflow and translate observations into shipped features

Role Description The Staff Engineer, Quality Platform will lead Lob's quality program - establishing the standards, tooling, and dashboards that make quality measurable and visible across the engineering organization, enabling teams to ship with confidence and discipline. They will partner closely with engineering teams to build a culture where quality is a shared engineering responsibility, not an afterthought. This is a hands-on individual contributor role - the expectation is that this person leads through influence, credibility, and technical depth not through direct management authority. What You’ll Work On - Establish Lob's quality metrics program - standing up per-repo dashboards that surface test inventory, coverage trends, pass/fail rates, and flaky test signals across the engineering organization. - Define and roll out a scheduled nightly test execution strategy across all repos, with regression alerting and failure triage tooling that gives teams early warning before defects reach production. - Define and roll out Lob's Definition of Done - a shared standard for what 'ready to ship' means across the engineering organization and establish the CI/CD gates that enforce it: coverage thresholds, required test types, and quality checks per change category. - Define and champion Lob’s AI quality strategy - evaluating and adopting AI-assisted testing tools (test generation, flakiness detection, coverage gap analysis) and establish perspective on where AI accelerates quality outcomes vs where human judgment remains essential. - Partner with engineering teams to establish org-wide standards for integration and contract testing - defining what good looks like, configuring the CI integration that makes it adoptable, and creating visibility into which services have coverage and which don't. - Define the standards and evaluate the tooling for E2E test coverage across backend, frontend, and data pipelines - working with feature teams to establish ownership of their own workflows, with Lob's flagship print & mail and address verification products as the first adopters. - Evaluate, select, and roll out load and performance testing tooling - defining baseline SLOs for critical endpoints and integrating performance testing into the release process for high-risk changes. - Integrate security scanning tooling into a unified vulnerability dashboard that gives engineering teams and leadership clear, actionable visibility into open issues by repo, severity, and age. - Partner with engineering teams as a quality advocate - reviewing system designs for testability, identifying systemic risk patterns surfaced by incidents, and coaching engineers on testing best practices that build lasting engineering discipline. - Collaborate with engineering leadership to define org-wide quality goals, inform roadmap prioritization with quality signal data, and present engineering health metrics to stakeholders in a clear and compelling way. Qualifications - 8+ years of hands-on experience in software engineering, quality engineering, or platform engineering roles, including at least 3 years establishing quality programs, standards, and tooling at a company where that infrastructure did not previously exist. - Demonstrated experience evaluating, selecting, and rolling out testing tooling and frameworks across multiple testing types: integration, contract, end-to-end, load, and performance - with the judgment to know which approach fits which problem. - Strong CI/CD fluency - experience configuring quality gates, integrating test results into delivery pipelines, and establishing standards that make the right behavior the default path. - A strong working knowledge of AI-assisted and testing tools with hands on experience leveraging AI for test generation, analysis or triage and a clear perspective on how AI should accelerate a quality program. - Experience standing up engineering dashboards and metrics tooling that surfaces test results across repositories, tracks flakiness, and visualizes quality trends - turning raw test data into actionable engineering health signals. - Experience integrating security scanning tooling into developer workflows, with the ability to create unified, prioritized visibility for both engineering teams and leadership. - Experience with observability and monitoring platforms is a strong plus. - Technical fluency across modern engineering tooling and infrastructure - able to evaluate, configure, and integrate tools to deliver impact quickly. - Exceptional communication and influence skills - the ability to earn the trust of engineers and shift culture through credibility, well-designed standards, and pragmatic advocacy rather than top-down mandates is essential. - Proven experience operating in startup or late-stage startup environments where quality culture and engineering discipline were built, not inherited. Comfort navigating ambiguity, sequencing work without established process, and delivering impact in phases. - Familiarity with API-first products and the specific testing challenges they present — including contract drift, versioning, and consumer-driven contract testing - is a strong plus. - Comfort running post-mortem analysis and connecting quality signals to production incidents, with the ability to quantify the business impact and ROI of quality investments for engineering and executive leadership. - Since great engineers come from a variety of backgrounds, it doesn’t particularly matter if you have a specific degree—we want to hear about your contributions in a real-world setting. Requirements - Compensation for this role consists of a base salary + additional RSUs. - Annual Base Salary: $187,500 - $207,500 - Remote working opportunities in AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, MT, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, and WA. Our Commitment to Diversity Lob is an equal opportunity employer and values diversity of backgrounds and perspectives to cultivate an environment of understanding to have greater impact on our business and customers. We encourage under-represented groups to apply and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or criminal history in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance. Recent Awards - #88 on BuiltIn's Best Remote Midsize Companies to Work For in 2025 - BuiltIn Best Remote Midsize Companies to Work For in 2024 - BuiltIn Best Midsize Companies to Work For 2022

Role Description Your ultimate challenge will be designing architectures from scratch, establishing guardrails, managing platform costs, and creating protection mechanisms so that anyone in the company can build automations with autonomy, scalability, and total security. This is a highly strategic, early-stage opportunity where you will have plenty of room to rethink platforms and solve complex, unprecedented problems that do not have ready-made answers in the market. Qualifications - Solid experience with Infrastructure as Code (IaC) and platform tools such as Kubernetes (K8s), containers, Vault, and API Ingress. - Deep understanding of software engineering fundamentals, including version control, testing, deploy automation, code review, and technical design documentation. - Strong knowledge of modern CI/CD processes (Continuous Integration and Continuous Delivery/Deployment). - Proven track record of building software and systems architecture completely from scratch. - Experience handling high-scale, performance challenges and a deep understanding of distributed systems. - Solid knowledge of database modeling, structuring, and evolution. - Strong hands-on experience with agile methodologies like Kanban or Scrum. - Professional proficiency in both Portuguese and English. Requirements - Genuine interest or practical experience in applied AI, including understanding models, costs, tokens, and observability. - Previous experience working with no-code/low-code platforms such as Zapier, Base44, Botpress, or Botcity. - Background in mentoring, technically leading, or influencing other SREs. Benefits - Competitive salary - Profit sharing - Meal allowance - Health insurance - Dental plan - Life insurance - Childcare subsidy and Atypical Parenthood subsidy - Wellhub - Home office allowance - Employee assistance program (mental health, social, legal, and financial support) - Extended parental leave - Day off on birthday, Mother’s Day, and Father’s Day - Benefits Club (discounts on everyday services) - Discounts at educational institutions - Reading kit for children – PlayKids