Technical Solutions Specialist Jobs

maintains facility structures equipment finishes and specialized technical assets by applying protective and decorative coatings Address: Technocrats Institute of Technology (TIT) Anand Nagar P.B. No. - 24 Post Piplani Opposite Hataikheda Dam BHEL Facility: TIT Technocrats Bhopal - FS Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP569288

maintains facility structures equipment finishes and specialized technical assets by applying protective and decorative coatings Address: Technocrats Institute of Technology (TIT) Anand Nagar P.B. No. - 24 Post Piplani Opposite Hataikheda Dam BHEL Facility: TIT Technocrats Bhopal - FS Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP569289

Requirement of Facility Manager who manages both technical and soft services stakeholders& 39 management vendor management SLA/KPI etc... 11.72Lakh is gross Address: Siemens Healthcare Private Limited Plot No. 240A Bommasandra Industrial area 3rd phase Anekal taluk Hosur road Bengaluru - 560 099. Facility: Siemens Healthcare_Bommasandra - B'lore Qualification: Graduate Experience: 10 - 12 years Source: Sodexo India | Job Code: IJP559688

Work Flexibility: Onsite What You Will Do Lead investigations of non-conformances and implement corrective and preventive actions to support timely issue resolution. Collaborate with Engineering, Production, and cross-functional teams to ensure products and processes meet quality requirements. Support internal and external audits by preparing documentation, participating in audit activities, and addressing audit observations. Escalate quality concerns to Quality Assurance and Engineering leadership and support resolution activities. Manage containment activities for non-conforming product, including identification, segregation, documentation, and reconciliation. Monitor, analyze, and trend quality data to identify risks, recurring issues, and improvement opportunities. Ensure compliance with the Quality Management System and applicable regulatory requirements. Apply statistical analysis and risk management tools, including Failure Mode and Effects Analysis (FMEA), to support decision-making and continuous improvement initiatives. What You Will Need Required Qualifications Bachelor’s degree in Engineering or a related technical field. Minimum 3 years of experience in Quality Engineering. Working knowledge of 21 CFR Part 820, ISO 13485, and the Medical Device Single Audit Program (MDSAP). Advanced English proficiency, written and verbal. Preferred Qualifications Experience supporting internal and external quality audits. Experience conducting investigations, risk assessments, and corrective and preventive action activities. Experience working in a regulated manufacturing environment. Experience using statistical analysis and quality risk management tools. <p style="text-

POSITION SUMMARY Natera is seeking a Principal AI Engineer to set technical direction for, and hands-on build of, the Vector Store GenAI Platform that powers document intelligence and retrieval across our Real-World Data (RWD) organization. The platform ingests clinical documents from multiple sources, indexes them for high-quality search, and makes that content available to downstream AI workflows and business use cases across oncology and other clinical domains. This is a principal-level individual contributor role with architecture-plus-build ownership of retrieval, document processing, and ingestion systems. You will define platform strategy and sequencing, ship production code in a cloud environment, raise the reliability and quality of search and retrieval, and prove new approaches through POCs and benchmarks. You will partner with clinical, engineering, and product leaders to turn ambiguous priorities into a clear technical roadmap, establish standards for how retrieval serves agents and re-extraction workflows, and deliver measurable improvements in platform quality and operability—with high autonomy and limited day-to-day direction. The ideal candidate combines deep hands-on engineering with a track record of owning complex AI platforms end to end. You set direction, implement critical path yourself, and elevate the technical bar across the teams that consume and extend the platform. RESPONSIBILITIES Own platform architecture and hands-on delivery for the Vector Store GenAI Platform, including search and retrieval, document processing and chunking, ingestion pipelines, and APIs that serve downstream AI workflows. Set technical direction for hybrid search and retrieval quality; evaluate embedding models and retrieval approaches through working implementations, POCs, and benchmarks, and drive adoption of what works in production. Advance document parsing and chunking so clinical content is indexed in a way that supports accurate, structured, and faceted retri

Job Responsibilities Own and implement architecture and technical design decisions for backend services and APIs in Go across one or more product areas Design and build complex, scalable front-end applications and components using Vue.js Define and evolve API contracts and integration patterns (REST and/or event-driven) across services Set and drive automated testing strategy and code quality standards across the stack Provide technical guidance and mentorship to engineers through code reviews, design discussions, and pairing Diagnose and resolve complex, cross-service production issues, improving logging, monitoring, and alerting practices Champion spec-driven development, authoring and reviewing technical specs and design docs for cross-team initiatives Evaluate and drive adoption of AI-assisted development tools (e.g., Claude Code, Cursor) to improve engineering velocity and code quality Critical Skills & Experience Requirements Professional software engineering experience Building backend services in Go Building front-end applications with Vue.js Working with AI-assisted development tools (e.g., Claude Code, Cursor) in a professional setting Providing technical mentorship or driving cross-team technical initiatives BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. View team member benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow

Developer Advocates at Datadog are engineers who share their expertise with technical practitioners, help customers tell their stories, and represent the perspectives of our community inside Datadog. As a Manager II on the Advocacy team, you will lead our Community Advocacy functions. You will manage a team of Developer Advocates responsible for global programs such as Datadog Ambassadors, Champions, and User Groups, as well as opportunities for customer engineers to share their expertise through technical writing, public speaking, and other community contributions. Across these interconnected programs, your team will enable customer engineers to contribute technical knowledge, lead communities, and turn their experiences into compelling content and conference talks for Datadog and third-party channels. This role combines people leadership, program strategy, technical judgment, and cross-functional influence to amplify authentic customer voices, deepen understanding of Datadog and its products, and foster a thriving community of practitioners. What You’ll Do: Lead and develop a team of Developer Advocates, setting clear expectations, guiding priorities, coaching performance, supporting career growth, and fostering an inclusive, high-performing culture Own the strategy, goals, and roadmap for Community Advocacy, translating broader Advocacy and company priorities into focused programs and measurable outcomes Guide the continued development of our Ambassador, Champion, and User Group programs, creating clear contributor journeys, expectations, enablement, recognition, and opportunities for customer engineers to increase their impact Build repeatable systems that enable customer engineers to contribute technical knowledge, create content, share best practices, and serve as trusted leaders within their communities Develop a strong pipeline of customer stories by identifying compelling practitioners and helping them shape authentic, technically credible narr

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses. Key Responsibilities: 1. Trading Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics 2. Risk Monitoring & Control Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks. Develop and maintain sophisticated risk reporting dashboards for the desk. Requirements & Qualifications: Experience: 3+ years i

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses. Key Responsibilities: 1. Trading Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics 2. Risk Monitoring & Control Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks. Develop and maintain sophisticated risk reporting dashboards for the desk. Requirements & Qualifications: Experience: 3+ years i

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We believe Plaid has the power to be the next-gen Credit Bureau - supporting large scale adoption of cash flow into the credit underwriting process. The Credit Decisioning platform team is responsible for building best-in-class cashflow based insights products that enable lenders to make more holistic lending decisions and empower broader access to Credit products for prospective borrowers. We own the systems and tooling that form the platform to build and serve these insights at huge scale, partnering with our Data partners to release new products yearly. You will be defining the future architecture of Credit insights products and executing against an ambitious product roadmap. You will partner with our Product, Data Science, and Machine Learning team to iterate on and productionize new insights that enable our customers to make more holistic lending decisions. Responsibilities: Leading technical architecture and execution across credit insights products: everything from data fetching and online feature serving for API requests, to offline production pipelines and tooling for model training. Scaling and evolving the architecture through an expected ~100x increase in load from det

FEQ227R209 About the Role Databricks needs to understand what technical capability looks like across several large, fast-moving populations: employees, customers, and partners. Today that happens through role-based learning pathways and product-aligned enablement, an approach that can't keep pace with how quickly the platform, technology, and roles change. AI has also collapsed the half-life of technical proficiency, and for the first time, it makes a living, self-maintaining model of capability possible. In this builder role, you'll own systems for defining, measuring, and developing technical capability across Databricks learner audiences. You'll build a capability model that ties roles, skills, content, and credentials together and the instrumentation that shows where capability actually stands. What You'll Own Skills taxonomies, capability models, and learning context Define the skills taxonomies that make up technical capability and shape how they’re organized; what skills exist, which are adjacent, which are prerequisites, how quickly they go stale, and what sources are available to learners for developing and maintaining them. Observability and measurement Stand up instrumentation and AI-informed signals that show where capability stands and where it's drifting. Develop live signals, not a quarterly or monthly health index, to show how skills are moving and evolving. Anticipate where capability demand is heading. Product releases, market shifts, and role evolution are constant; track changes closely so emerging skills surface early and content and programs stay ahead of change. AI-native tooling Build the software that maintains the skills taxonomy and capability model, including LLM-driven skill extraction and organization, agentic pipelines that keep them current, automated drift and gap detection, and APIs that expose it all. Make the model reusable enterprise context that other systems, teams, and products build on vs. a training-only asset. Impact You'll

About the role We're looking for a Technical Lead Manager (TLM) to lead our CI/CD team , the group that owns how every Chime engineer builds, integrates, and safely ships code. Your team owns the integration and delivery surface: source and code intelligence ( GitHub , Sourcegraph ), continuous integration and build ( CircleCI , Qlty ), artifacts ( Artifactory ), and the release-safety layer that gets changes to production without breaking it. Your team's mission is continuous, safe, reliable, and efficient integration and delivery of features. Every merge and every deployment at Chime runs through what your team builds. This is a player-coach role . Under Chime's Builder Operating Model, the TLM is a single accountable owner at the team level. You own both delivery and people for a small team, and you stay hands-on in the codebase. You'll spend about 40%+ of your time building , authoring PRs that land in production, with the remainder split across people management, planning, and other business processes. You'll lead a team of 4 engineers, own the roadmap for a high-leverage platform surface, and be directly accountable for the reliability of the pipelines and release systems in the critical path of every Chime team. You're expected to use AI coding agents and workflows to keep planning, operations, and delivery overhead low so you can stay in the code and operate the team. In this role, you can expect to Build and ship, hands-on. Author and review PRs that land in production. Own the team's technical direction, architecture, and quality bar; partner with senior ICs and lead technical design discussions and technical planning. Lead and grow the team. Own full people management for the team: 1:1s, career coaching, performance feedback, promotion decisions, and hiring. Build an inclusive, high-trust team and own its health and engagement. Mentor engineers toward Staff or a future TLM path. Own the CI/CD platform. Set direction and delivery for the build and in

NMI is looking for a Senior Product Owner to drive tactical delivery across our Billing and Data platform teams. This role sits within the Engineering organization, reporting directly to the Director of Software Engineering, and carries ownership across two interconnected domains: Billing, which manages five distinct billing platforms, and Data, which owns ingestion and transformation pipelines built on GCP and BigQuery. As a Senior PO at NMI, you are the subject matter expert for every feature your team builds. You do not hand off context to others — you carry it. You are present in the details: writing sharp user stories, validating acceptance criteria, conducting UAT, and ensuring releases meet the bar. You are the go-to person for your engineering team, your product manager, and your stakeholders when questions arise about how the platforms work, what is in flight, and what is coming next. The seniority of this role comes through in the depth of your platform knowledge, your ability to navigate complexity across two technical domains simultaneously, and your capacity to influence decisions at the architecture and cross-team level — while never losing sight of day-to-day delivery. About NMI NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours without even realizing it. We're the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We're creative problem solvers who help visionaries smash through boundaries and think beyond what's possible so they can think about what's next. But we're not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectr

NMI is looking for a Senior Product Owner to drive tactical delivery across our Billing and Data platform teams. This role sits within the Engineering organization, reporting directly to the Director of Software Engineering, and carries ownership across two interconnected domains: Billing, which manages five distinct billing platforms, and Data, which owns ingestion and transformation pipelines built on GCP and BigQuery. As a Senior PO at NMI, you are the subject matter expert for every feature your team builds. You do not hand off context to others — you carry it. You are present in the details: writing sharp user stories, validating acceptance criteria, conducting UAT, and ensuring releases meet the bar. You are the go-to person for your engineering team, your product manager, and your stakeholders when questions arise about how the platforms work, what is in flight, and what is coming next. The seniority of this role comes through in the depth of your platform knowledge, your ability to navigate complexity across two technical domains simultaneously, and your capacity to influence decisions at the architecture and cross-team level — while never losing sight of day-to-day delivery. About NMI NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours without even realizing it. We're the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We're creative problem solvers who help visionaries smash through boundaries and think beyond what's possible so they can think about what's next. But we're not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectr

Here’s a summary of the role: Are you a Technical Writer or Content Engineer who enjoys working at the intersection of documentation, technology, automation, and AI? In this role, you’ll shape how complex SaaS product knowledge is created, structured, published, and consumed by both people and AI systems. You’ll own documentation strategy across key product areas while working closely with Product, Engineering, Design, Support, Customer Success, and other teams. You’ll bring experience in technical writing, docs-as-code, content architecture, structured authoring, CI/CD, content automation, LLMs, RAG, and AI-assisted workflows to build documentation that is accurate, discoverable, reusable, and ready for the next generation of AI-powered experiences. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead documentation strategy and execution across assigned SaaS product areas, ensuring content is clear, accurate, consistent, and customer-focused. Define and improve information architecture, content models, structured content, and documentation standards to make knowledge scalable and reusable. Build and maintain AI-ready content, including agent instructions, prompt libraries, reusable skills, and workflows that help AI systems find and use product knowledge effectively. Partner with Product, Engineering, Design, Support, Customer Success, Training, Implementation, and Marketing teams to embed documentation into the product development lifecycle. Build and improve automated documentation workflows covering content testing, validation, publishing, deployment, and quality assurance. Use customer feedback, analytics, and content performance data to continuously improve documentation quality, findability, freshness, and overall customer experience. These are the essentials you’ll need to get an interview: 7–10 years’ experience in technical writing, content engineering, or product documentation, ideally within a complex software/SaaS environ