System Power Engineer in India

HK associates Address: 6th Floor Unit 1 and Unit 2 Argus Block Sattva Knowledge City (Phase 1 Plot No. 2 Survey No. 83/1) Gate 11 Beside T-Hub Silpa Gram Craft Village Madhapur Rai Durg Facility: Persistent Systems - Argus IFM Hyderabad Qualification: Not Specified Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP575280

HK associates Address: 6th Floor Unit 1 and Unit 2 Argus Block Sattva Knowledge City (Phase 1 Plot No. 2 Survey No. 83/1) Gate 11 Beside T-Hub Silpa Gram Craft Village Madhapur Rai Durg Facility: Persistent Systems - Argus IFM Hyderabad Qualification: Not Specified Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP575285

HK associates Address: 6th Floor Unit 1 and Unit 2 Argus Block Sattva Knowledge City (Phase 1 Plot No. 2 Survey No. 83/1) Gate 11 Beside T-Hub Silpa Gram Craft Village Madhapur Rai Durg Facility: Persistent Systems - Argus IFM Hyderabad Qualification: Not Specified Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP575290

HK associates Address: 6th Floor Unit 1 and Unit 2 Argus Block Sattva Knowledge City (Phase 1 Plot No. 2 Survey No. 83/1) Gate 11 Beside T-Hub Silpa Gram Craft Village Madhapur Rai Durg Facility: Persistent Systems - Argus IFM Hyderabad Qualification: Not Specified Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP575287

Location Details: Remote - India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. The Managed SSL (MSSL) team plays a critical role in supporting GoDaddy's Website Security customers. The team assists with SSL certificate validation, installation, configuration, and troubleshooting across a variety of hosting environments and content management systems, helping customers keep their websites secure and trusted. What you'll get to do... Deliver world-class technical support to Managed SSL customers via email Request, validate, install, and configure SSL certificates (DV, UCC, and Wildcard) across multiple hosting platforms Troubleshoot SSL-related issues, including certificate errors, redirects, HTTPS configuration, and browser trust warnings Manage customer tickets in line with defined processes, service level agreements (SLAs), and quality standards Monitor escalated cases and collaborate with internal teams to ensure timely resolution Work with Engineering and Product teams to identify and drive process improvements Share technical knowledge, best practices, and new discoveries with peers Support continuous improvement initiatives across the Website Security organization Develop expertise in website security technologies, firewalls, and related security services Your experience should include... Experience installing and configuring SSL certificates in Linux and Windows hosting environments Understanding of the SSL certificate lifecycle, validation methods, and common SSL/TLS troubleshooting techniques Familiarity with web hosting technologies including Apache, Nginx, IIS, DNS, and web server configuration Experience work

Senior Product Manager (Integrations) |100% Remote | Eltropy We are seeking a detail-oriented and driven Product Manager – Integrations to join our fast-growing global team. In this role, you will own the strategy and execution of Eltropy’s integrations platform, enabling partners and financial institutions to seamlessly connect with our ecosystem. You will play a critical role in building and scaling our developer platform and partner integration capabilities, enabling integrations with core banking systems, loan origination platforms, account opening solutions, CRMs, eSignature/eNotary providers, and digital banking platforms. This role will also help drive Eltropy’s AI for All vision, powering an ecosystem where partners can build intelligent solutions and AI agents through our growing agentic AI marketplace. This is a remote position based in India , with 10% travel to client sites in the U.S. as needed. What You Offer Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a closely related field. Minimum of 3 years of experience in Product Management, Software Engineering, or a technical product role . Experience working with APIs, integrations, or platform-based products. Proficiency in Agile/Scrum workflows and cross-functional collaboration. Strong analytical and communication skills, with the ability to translate complex technical needs into clear product requirements. Experience owning end-to-end product lifecycles, from ideation and roadmap planning to release and adoption. Technical Skills (Required) Experience using Atlassian’s Confluence and JIRA suite of tools Experience working with REST APIs and integration architectures Experience using Agile development methodologies Experience using data analysis and reporting tools Basic understanding of web technologies (HTML, CSS, JSON, APIs) Key Assets (Highly Valued) Experience working with financial institutions, fintech platforms, or financial servi

About the job Senior Backend Engineer |100% Remote We are searching for a seasoned Sr Backend Engineer who will be responsible for developing and maintaining our backend systems, ensuring their efficiency, scalability, and reliability. The ideal candidate has a strong background in PHP and Java, with optional experience in Golang and Node.js. You should be well-versed in working with databases such as MongoDB, Redis, and Postgres, and have a solid understanding of cloud technologies, specifically AWS. Responsibilities Design, develop, and maintain backend systems and APIs to support our application's functionality. Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to deliver high-quality solutions. Write clean, scalable, and well-documented code that adheres to industry best practices and coding standards. Perform code reviews and provide constructive feedback to peers to ensure code quality and consistency. Optimize and improve the performance of existing backend systems. Troubleshoot and debug production issues, providing timely resolutions. Stay up-to-date with emerging technologies and industry trends, identifying opportunities for innovation and improvement. Collaborate with DevOps teams to ensure smooth deployment and operation of backend services in the AWS cloud environment. Requirements Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). 5-10 years of professional experience as a Backend Engineer. Strong proficiency in Java/Golang is a must. Experience with Node js is a plus. In-depth knowledge of database technologies, including MongoDB, Redis, and Postgres. Solid understanding of cloud computing platforms, particularly AWS. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Proficiency in writing efficient and optimized SQL queries. Experience with version control systems, such as Git. Excellent pr

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

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Summary: As a Principal Software Engineer at Appian, you will be the primary technical strategist, responsible for shaping the architectural foundation of our platform. Your role involves anticipating future challenges and implementing innovative solutions today. You will drive complex cross-functional initiatives, ensuring Appian remains a leader in the low-code and automation industry. Responsibilities: Define the long-term architectural vision and governance for the Appian platform. Identify systemic technical risks and lead task forces to resolve architectural bottlenecks. Develop internal tools and SDKs to simplify infrastructure and enhance developer productivity. Conduct deep-dive troubleshooting for complex production issues. Promote AI-native engineering practices and integrate AI features into the platform. Lead the development of core platform libraries and high-risk prototypes. Participate in the Architectural Guild and review high-impact design documents. Mentor lead and senior engineers, and represent Appian in the tech community. Ensure operational resilience with self-healing and highly available systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 15+ years of software engineering experience, with significant experience in architecting large-scale distributed systems. Strong understanding of data structures, algorithms, and design patterns. Proven transformational leadership in technological migrations or strategies. Expertise in Java and Cloud-Native ecosyst

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

About the Role At Jumio, the Software Development Engineer IV - QA (SDE-IV, QA) is a senior technical role focused on ensuring the quality, performance, and reliability of highly scalable web portals and distributed backend systems. Our platform spans multiple Java Spring Boot microservices and customer-facing web portals , deployed across AWS ECS, EKS, and Lambda , and integrated through event-driven messaging using SNS/SQS . In this role you will design and drive the test automation strategy for both UI (Playwright) and API/service layers, set the quality bar for the team, and act as a force multiplier — mentoring other engineers and embedding quality earlier in the development lifecycle. You will work closely with development, product, and DevOps teams to ensure our products meet the highest standards of quality, scalability, and security. This is a hands-on senior IC role: you will write code, but you will also influence architecture, own cross-service test strategy, and make build-vs-buy decisions for testing tooling. T-Shaped Engineering Expectation As part of Jumio's engineering culture, you will adopt a T-shaped engineering approach. Beyond deep expertise in test automation and quality engineering, you will contribute across the development lifecycle — understanding software architecture, participating in design and API-contract discussions, reviewing application code, and ensuring our distributed systems are testable, observable, and resilient by design. Role Value This role is critical to ensuring the reliability, scalability, and security of Jumio's products. By architecting and maintaining automated testing frameworks across web, API, and event-driven layers, you will enable faster, higher-confidence releases and reduce production risk in a complex microservices environment. What You'll Do Test Architecture & Strategy Define and own the end-to-end automated test strategy across web portals and backend microservices, balancing UI, API, contract, integ

You will be a part of: Storefront (SF) If you are enthusiastic to work on Myntra Storefront customer facing technology platform built for extremely high scale, working on cutting-edge open source technologies, designing & architecting highly performant fault tolerant systems serving 10s of Millions of requests each day scaling to 100s of millions of requests on high sale events then Myntra Storefront is the right place to be. To manage 10s of Millions of requests each day scaling to 100s of millions of requests on high sale events Myntra SF Engineering team builds the technology platform that personalizes our customer’s shopping experience and enables the smooth flow of products from suppliers to our customers’ doorstep. We work on areas such as building massive-scale mobile and web-applications, engaging user-interfaces, user personalization, recommendation & social commerce platforms, content systems, payment systems, search systems, imaging and visualization systems for products etc. We are a technology team where each individual has a huge impact and get to experience the delight of your hard labor & tech excellence being visible to real users. You will work closely with the business in shaping our product and serve hundreds of millions of Indians! You will have the opportunity to be part of a rapidly growing SF organization and gain exposure to all the parts of a comprehensive ecommerce platform. The SF team at Myntra operates within distinct verticals which are (Storefront – Services Platform, Storefront Platforms for personalization & Store Channels (Client Apps-Android/iOS/MWeb/Desktop). Roles and Responsibilities Write maintainable/scalable/e?cient code. Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, unit-testing, code reviews etc. Follow release cycles and commitment to deadlines. Qualifications & Experience Experience level of 3 to 5 years of experience in v

AI Engineer - Enterprise Search Overview We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI- powered innovations to enhance search relevance and ITSM workflows. What You Will Do: Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance. Develop and refine personalized ranking models that adapt to user behavior and improve search results over time. Design ways to adapt AI language models to each customerʼs data for enhanced accuracy and context. Explore innovative methods to combine LLMs with search engines for answering complex queries Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems. Collaborate with cross-functional teams to align search capabilities with ITSM workflows. Mentor junior engineers or learn from experienced ones to grow as a technical leader. What You Should Have 3-5 years of experience working on enterprise search products with AI/ML integration. Expertise in multi-tenant systems and securely integrating with external customer systems. Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms. Strong coding skills in Python, Java, or equivalent languages. A passion for solving complex problems with AI and delivering intuitive user experiences. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork. Only apply through official Atomicwork channels. We do not use third-party agencies or individuals who ask for payments in exchange for interviews or offer letter