Test in India

We are seeking an experienced Electrical Professional with 6-12 years of experience in Thermal Power Projects to manage electrical project execution, installation, testing, commissioning, and contract management activities. The incumbent will be responsible for ensuring timely execution of electrical systems, adherence to quality and safety standards, coordination with stakeholders, and successful project completion within schedule and budget. Source: Adani Group | Job ID: 56758

This role is responsible to drive operational excellence and reliability of plant systems through strategic planning, and rigorous quality assurance processes. The role encompasses managing quality, overseeing regular maintenance, implementing inspection checks and tests to prevent equipment failures, and managing high-quality standards during overhauls and equipment installations. Additionally, the role involves engaging and developing the team to ensure a high-performance culture and continuous improvement in all aspects of the department's functions. Source: Adani Group | Job ID: 56572

The PCS Design Engineer is responsible for the design, development, integration, testing, and optimization of Power Conversion Systems (PCS) used in Battery Energy Storage Systems (BESS), renewable energy applications, and grid-connected power systems. The role involves electrical system design, inverter and converter topology selection, system engineering, compliance management, and coordination with cross-functional teams to ensure reliable and efficient power conversion solutions. Source: Adani Group | Job ID: 56530

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Cloud Support Engineer — AI/ML & Programmability (Night Shift) Location: Pune, India Snowflake's Support team is expanding. We're looking for a Cloud Support Engineer who enjoys working with data and solving a wide variety of problems, drawing on hands-on experience across operating systems, database technologies, big data, data integration, connectors, and networking. Our mission is to make Snowflake the preferred platform for running all AI, ML, data science, and data engineering workloads. You'll join a highly productive, fast-moving team supporting Snowflake Cortex and our ML product lines — work that is central to delivering on Snowflake's AI Data Cloud mission. Snowflake Support is committed to providing high-quality resolutions that help customers deliver data-driven business insights and results. We are a team of subject matter experts working collectively toward our customers' success, building partnerships by listening, learning, and connecting. Snowflake's values shape how we deliver world-class Support: putting customers first, acting with integrity, owning initiative and accountability, and getting it done. As a Cloud Support Engineer, you'll be the technical partner our customers turn to for guidance on using Snowflake effectively. You'll also be the voice

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

Database Migration Engineer JD We are looking for a hands-on Database Migration Engineer with experience in large-scale enterprise database migrations and Migration Factory environments. Key Responsibilities Execute migrations from Sybase ASE / IBM DB2 to PostgreSQL / Amazon Aurora PostgreSQL / SingleStore . Perform migration assessment, schema conversion, data validation, reconciliation, and performance testing . Execute database cutover, rollback, production go-live, and post-migration stabilization . Troubleshoot migration issues and independently execute migration runbooks across migration waves. Coordinate with application, infrastructure, cloud, and engineering teams . Perform database administration, performance tuning, backup/recovery, and optimization . Develop migration documentation, runbooks, status reports, and operational procedures. Ensure data integrity, availability, security, and compliance throughout the migration lifecycle. Must-Have Skills Sybase ASE + IBM DB2 + PostgreSQL Amazon Aurora PostgreSQL + AWS Hands-on database migration experience Database administration & performance tuning Shell / Python / PowerShell scripting and automation Strong troubleshooting and analytical skills Ability to independently manage end-to-end database migration activities Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

Job Details: Job Description: The Role and Impact As a Software Enabling and Optimization Engineer, you will play a vital role in driving Intel's value and differentiation by collaborating with customers, software vendors, and the open-source community to develop, optimize, and integrate software solutions tailored for Intel products. Your work will directly impact numerous domains such as Audio, AI and adjacent technologies by enhancing software performance and ensuring seamless adoption of Intel technologies. On a day-to-day basis, you will engage in debugging, tuning, and testing software while delivering innovative solutions that optimize customer experiences and product capabilities. Business group The Silicon and Platform Engineering Group (SPE) focuses on advancing Intel's hardware and software platforms through innovation and collaboration. This team drives product development, testing, and optimization to support Intel's strategic goals in diverse markets, including enterprise, cloud, and edge computing. Joining SPE means contributing to Intel's mission of delivering cutting-edge technology solutions to its global ecosystem. Key Responsibilities - Drive customer enabling activities for Intel client platforms across Audio, Computer Vision, Camera, and other software ingredients. - Execute Platform POR features and ensure successful platform bring-up, validation, and customer adoption. - Debug and resolve complex platform issues spanning hardware, firmware, BIOS, operating systems, drivers, middleware, and applications. - Serve as a technical focal point for customer-reported issues, driving root cause analysis and resolution across internal and external stakeholders. - Partner with Microsoft and other OS vendors to investigate and resolve operating system, driver, and platform integration issues. - Collaborate with third-party ecosystem partners including C

Job Details: Job Description: Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering work. This platform will enable Intel engineers to analyze complex design, qualification, and reliability data; automate engineering workflows; access organizational knowledge; and make faster, evidence-based decisions throughout the product lifecycle. The successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic development. They will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and documentation. This role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel stakeholders. Responsibilities 1. Architect and develop Intel's reusable AI platform for Design Quality and Reliability. 2. Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation. 3. Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation. 4. Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools. 5. Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components. 6. Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability. 7. Implement human approval, deterministic validation, and rollback controls for consequential engineering actions. 8.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II Role Overview Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps. Key Responsibilities Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components. Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning. Build RAG solutions, embeddings workflows, vector-search applications, and AI agents. Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining. Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations. Implement CI/CD, automated testing, observability, model monitoring, and production support practices. Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions. Required Skills & Experience 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field. Strong Python, SQL, object-or

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior software engineer Job Description Summary Overview: Provides support of applications software through programming, analysis, design, development and delivery of software solutions. Researches alternative technical solutions for changing business needs. Role: •Responsible for programming, testing, implementation, documentation, maintenance and support of systems application software in adherence with MasterCard standards, processes and best practices. •Develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget. •Research, create and evaluate technical solution alternatives for the business needs current and upcoming technologies and frameworks. •Perform feasibility studies, logic designs, detailed systems flowcharting, analysis of input-output flow, cost and time analysis. •Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems and independently perform assigned tasks, perform production incident management. Participate in on-call pager support rotation. •Document software programs per Software Development Best Practices. Follow MasterCard Quality Assurance and Quality Control processes. •Assist Seni

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. With a focus on innovation, entrepreneurship, and collaboration, we aim to foster a dynamic work environment that reflects a startup culture. Role Overview As an FPGA Developer, you will design, implement, and rigorously test RTL (Register-Transfer Level) designs to power our high-frequency trading strategies. Your contributions will play a pivotal role in reducing system latency and enhancing performance, directly impacting trading outcomes. Key Responsibilities Design and Implementation: Develop high-performance RTL designs using VHDL or Verilog for FPGA-based systems. Optimize hardware implementations for ultra-low latency and high throughput. Testing and Debugging: Perform thorough functional and timing testing of RTL designs, ensuring adherence to specifications. Debug and resolve issues using FPGA debugging tools such as SignalTap, ChipScope, or ModelSim. Collaboration and Documentation: Work closely with hardware and software teams to ensure seamless integration of FPGA solutions with the Software Trading Stack. Maintain clear and comprehensive documentation of designs, test cases, results and benchmarks Qualifications Technical Skills: RTL Development: Strong fundamentals in digital logic design, Boolean algebra, FSMs and synchronous design. Proficiency in VHDL or Verilog/SystemVerilog, with a strong focus on efficient and optimized designs. FPGA Tools: Hands-on experience with industry-standard tools such as Xilinx Vivado. Testing and Verification: Expertise in writing testbenches and conducting simulation-based verification. Familiarity with static timing analysis and achieving timing closure. Familiar with CocoTB or any similar testing setup. Debugging: Proficiency in GHDL synthesis a

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: The Trade Monitor will work closely with the firm’s senior management on a variety of tasks, including: Start and supervise automated trading systems for multiple exchanges and venues Understand how high frequency trading strategies work and make changes in strategy parameters during live trading based on market conditions Build, test and deploy trading monitoring software's to analyze strategy metrics in real time Work closely with Quantitative researchers and Software Developers while testing or deploying updates in GUI, trading infrastructure and strategies Assess live trading for risk and technical issues and quickly respond to unusual behaviors or market conditions Qualifications: Must-Have Requirements Automated Trading Systems/Trading experience Trading Operations Market Monitoring Live Trade Supervision Trading Infrastructure Risk Management (Trading Context) Strategy Parameter Tuning Microsoft Office Proficiency Preferred Technical Skills Linux Basics Python Trading GUI Handling Ideal candidates: Flexible to work in rotational shift Possess a reliable and disciplined approach to work Strong attention to detail Excellent communication skills and fluency in English for business purposes Strong experience of using end user computing tools like Microsoft office and other equivalent products Bachelor's degree with professional experience in a related role at a stock broking firm Benefits: NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organization where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest employees to wor

Staff Backend Engineer- Tech Lead |100% Remote | US- SaaS Fintech (Product based firm) Role Responsibilities: Design, develop, and maintain systems on the payments team with primary focus on backend Collaborate with cross-functional teams—product, and design Participate in sprint planning, feasibility assessments, and code reviews Write clean, maintainable, and testable code in Focus on scalability, security, performance, observability, auditability, testability and long-term maintainability Contribute to improving SDLC processes and engineering best practices Troubleshoot production issues and deliver timely resolutions What We're Looking For: 8-12 years of backend engineering experience with a high agency mindset Deep expertise in any of the backend languages (Go or Ruby preferred) Solid grasp of payments domain Proven experience working in Agile/Scrum environments Strong API development skills (RESTful architecture) Excellent problem-solving and communication abilities AI fluent Bonus Points For: (Good to have skills) Experience with payment gateway integrations Familiarity with PCI compliance and secure coding practices Skills in performance optimization (DB, code, etc.) Exposure to GCP or other cloud platforms

Job Overview: We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end-to-end solutions across RAG, function/tool calling, multi-agent coordination, and scalable deployment. Key Responsibilities Design and implement agentic systems: single-agent and multi-agent architectures (planner/executor, supervisor-worker, routing, reflection, critique, task decomposition). Build robust tool-using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing. Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long-term memory, and grounding/citation behaviors. Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible. Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization. Establish agent evaluation: golden sets, simulation-based evals, LLM-as-judge with mitigations, task success metrics, regression testing. Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement. Collaborate with product, security, and platform teams to deliver enterprise-ready solutions and integrate with internal systems (data, identity, workflow). Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps. Required Qualifications 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production. Strong programming skills in Python (required) and/or TypeScript/Node.js. H