Python Engineer in India

About the Role We are looking for a skilled and detail-oriented Python Developer to join our team. In this role, you will focus on writing efficient scripts, analyzing complex data, and delivering actionable insights through clear and accurate visualizations. The ideal candidate will be a fast learner with a strong foundation in software development principles and a passion for solving challenging problems. Key Responsibilities Design and develop efficient Python scripts for data analysis and automation. Build accurate and insightful data visualizations to support decision-making. Implement and maintain alerting tools to monitor data workflows and systems. Collaborate with cross-functional teams to gather requirements and deliver solutions. Apply strong knowledge of data structures, algorithms, and OOP concepts to write performant, maintainable code. Continuously optimize and improve data processing pipelines for scalability and performance. Key Requirements Experience: 2–5 years as a Software Engineer or Python Developer. Strong proficiency in Python with the ability to quickly learn new frameworks and libraries. Hands-on experience with SQL for querying and data manipulation. Experience with data visualization/plotting tools (e.g., Matplotlib, Seaborn, Plotly). Familiarity with alerting and monitoring tools . Solid understanding of data structures, algorithms, and OOP concepts . Excellent problem-solving skills, analytical thinking, and attention to detail. Benefits: Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation 6 weeks of paid vacation Monthly after work parties Catered breakfast and lunch Fully stocked kitchen International team outing

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . We are seeking an experienced Principal Software Engineer to lead the architecture, development, and evolution of a large-scale malware analysis and cybersecurity platform. This role will own the end-to-end technical architecture across Python-based analysis pipelines, message-driven job orchestration systems, Windows VM sandbox environments, and web-based interfaces. The ideal candidate brings deep expertise in software engineering, malware analysis, and distributed systems, with a proven ability to take ownership of complex legacy platforms and drive modernization initiatives. You will lead the design and implementation of advanced detection capabilities, including behavioral analysis, malware sandboxing, machine learning-based classification, and support for new file types, while ensuring platform scalability, reliability, and performance. This position requires strong hands-on development skills in Python with Linux-based production environments, messaging architectures such as RabbitMQ, virtualization technologies, and cloud-native deployment practices. As the technical leader for the platform,

To lead the Generative AI engineering initiatives at Adani AI Labs, focusing on developing intelligent agents and sovereign cloud AI solutions. This role drives the architectural design, implementation, and scaling of Generative AI applications that optimize operations across Adani’s industrial sectors, aligning with the vision to deliver secure, scalable, and intelligent digital transformation. The Engineering Manager will oversee a team of backend engineers while remaining actively involved in technical execution. This is an exciting opportunity to lead mission-critical product engineering initiatives and build state-of-the-art AI-driven systems within a dynamic and innovative environment at Adani. Source: Adani Group | Job ID: 44640

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. Join Our Team... We are looking for an experienced engineer to join the Infrastructure Management and Automation team. In this role, you’ll help shape and build the tools, platforms, and automation that power and manage GoDaddy’s growing infrastructure footprint while leading the design of scalable solutions to complex operational challenges. Our infrastructure platform empowers GoDaddy engineers to help small business customers start, grow, and run their ventures. GoDaddy teams rely on our infrastructure solutions every day, whether for development workflows or hosting production workloads at global scale. If you enjoy solving complex technical problems, designing scalable systems, influencing technical direction, and improving how infrastructure is managed and automated, we’d love to hear from you! What you'll get to do... Lead the design and evolution of GoDaddy’s next generation of infrastructure management platforms and automation systems, taking ownership of complex technical areas from design through delivery and operation Leverage modern engineering practices and AI-assisted development workflows to rapidly design, build, and deliver scalable internal tooling and automation Design and build reliable services and integrations across infrastructure platforms and operational systems, including provisioning, networking, IPAM, DNS, CMDB, and asset management workflows Partner with engineering and operations teams to identify opportunities, shape technical solutions, and improve infrastructure reliability, scalability, utilization, and opera

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success. About the Department: The FTT – Operations group develops and supports products that power the daily operations of the Middle and Back Office. The team collaborates closely across functions to deliver reliable, scalable solutions that drive business efficiency. Joining this group means working in a dynamic, technically driven environment where innovation and teamwork are valued, and your contributions directly impact operational success. How You Will Add Value? Core Responsibilities: You will design and build software solutions with product owners to meet business needs. You will manage product backlogs and prioritize development tasks. You will participate in sprint and release planning activities. You will develop, test, and maintain high-quality code. You will conduct code reviews and ensure adherence to standards. You will support deployments and optimize performance. You will build full-stack applications across services, APIs, and infrastructure. You will collaborate with analysts

Role Purpose: At Jumio, you will work for one of the market leaders in the global identity verification space that is helping to make the digital world a safer place for everyone. As a Software Development Engineer in the MLOpsTeam, you will develop the blueprint for highly scalable and performant ML model serving. Role Value: As a Software Engineer (SDE III), you will drive the continuous improvement of the infrastructure and applications to manage the lifecycle of ML assets (data, models) to better developer experience and strengthen governance capabilities. Secondly, you will design and implement robust ML infrastructure for model deployment, serving, and optimization. You will work on efficient CI/CD pipelines for ML models and leverage advanced compilers or hardware optimization to maximize inference performance while optimizing costs. We welcome you to challenge us to impact our software development processes and tools. Example Responsibilities: Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities Build and optimize model serving infrastructure with a focus on inference latency and cost optimization Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options Implement cost-efficient, enterprise-scale solutions Collaborate in a cross-functional, distributed team for continuous system improvement Work with MLEs, QA Engineers, and DevOps Engineers Evaluate and implement new technologies and tools Contribute to architectural decisions for distributed ML systems Experience and Qualifications : 5+ years of experience in software engineering with Python Experience with model lifecycle management (MLFlow, Weights & Biases or equivalent) Experience with data management ecosystem (quality, transformation, catalog) Experience with ML frameworks, particularly PyTorch Experience optimizing ML models with hardwar

Job Title: Python Automation Expert About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: Role Description: Hands-on engineer delivering Finance EUC automations on IT-governed platforms. Understands demand for automation, detailed requirements, and undertakes build & test, production deployment activities and RTB change implementation, following defined standards and platform guardrails. Contributes to opportunity scoping by providing technical input on feasibility and effort. Produces code, documentation and test evidence aligned to agreed closure criteria, and supports controlled deployment and post-release fixes. Works closely with the POD Lead, Finance Domain BA and platform support to

Experience 1-2 years Python Programming : Strong foundational skills in Python. Automation : Ability to automate tasks with Python scripts. Web Development : Basic knowledge of Flask or Django for building web applications. Database Management : Understanding of SQL and experience with databases like MySQL or SQLite. Version Control : Familiarity with Git for code management. Data Analysis : Experience with libraries like Pandas and NumPy. Testing : Basic knowledge of writing unit tests. Problem-Solving : Ability to troubleshoot and solve coding issues. Basic DevOps : Introduction to CI/CD tools and processes. Communication : Good verbal and written communication skills.

About the Job: As a Senior Sales Engineer , you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Indian market. You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes. You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices. Responsibilities: Partner with Sales to Win Enterprise Deals Work closely with Account Executives to qualify opportunities and develop technical account strategies. Help customers understand how feature management and progressive delivery can transform software delivery. Participate in complex enterprise sales cycles and help secure technical wins. Lead Technical Discovery and Solution Design Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges. Design solutions that demonstrate how LaunchDarkly integrates into modern development environments. Align technical solutions with customer business objectives. Deliver High-Impact Demos and Proof of Value Conduct compelling product demonstrations that highlight real customer value. Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials. Guide customers through the evaluation process and ensure successful outcomes. Build Champions and Trusted Relationships Develop strong relationships with both technical and business stakeholders. Enable customer champions who can advocate for LaunchDarkly internally. Support customers throughout the evaluation process and beyond. Be a Technical Thought Leader Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven d

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. ASIC IP STA Engineer (6-10 Years) | DDR PHY / ONFI PHY / IO Expander Location: Bengaluru, India Experience: 6-10 Years Enducational Qualification : BE/B-Tech/M-Tech (EEE, ECE, Micron Electronics, VLSI) Key Requirements Member of the AMS IP Physical Design team , responsible for post-layout STA signoff and timing closure of high-speed interface IPs, with close collaboration across IP Design, SoC Synthesis, and SoC Physical Design teams throughout IP development and SoC integration. 6-10 years of experience in Static Timing Analysis (STA) with a proven track record of 4 &#43; successful tapeouts . Strong hands-on expertise with Cadence Tempus (preferred). In-depth experience in MMMC timing analysis and closure across functional, scan, MBIST, and other DFT modes. Experience working on high-speed Memory Interface IPs such as DDR PHY, ONFI PHY, IO Expander (IOE) , or similar high-performance interface designs. Strong understanding of timing constraints development, validation, and debug , including clocks, generated clocks, timing exceptions, and mode-specific constraints. Experience in Liberty (.lib) and ETM timing model generation, validation, correlation, and quality assessment . <span

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . About the Role We're looking for a Cloud Engineer to own and evolve our Microsoft Azure environment — from core infrastructure to the data and AI platforms built on top of it. You'll drive our shift from legacy VM-based infrastructure to modern, cloud-native architecture, using Infrastructure as Code (Bicep) and automation (PowerShell) as your default tools rather than manual work. Beyond infrastructure, you'll take ownership of our

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.

InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays. Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation. To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website. InnoPhase Inc., DBA GreenWave™ Radios, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays.Based in San Diego, California, GreenWave Radios has earned a reputation for delivering power-efficient digital-to-RF solutions. Our commitment to innovation is backed by a robust team of more than 100 talented engineers spread across four R&D facilities worldwide and an extensive portfolio of over 120 global patent filings, underscoring our dedication to pushing the boundaries of radio technology. InnoPhase Inc., DBA GreenWave™ Radios and Synergic Emergence have a co-employment relationship. For over three years, GreenWave Radios has partnered with Synergic Emergence, a professional employment organization provider, to offer our employees the best benefits and services. Thi

InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays. Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation. To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website. InnoPhase Inc., DBA GreenWave™ Radios and Synergic Emergence have a co-employment relationship. For over three years, GreenWave Radios has partnered with Synergic Emergence, a professional employment organization provider, to offer our employees the best benefits and services. This arrangement means that Synergic Emergence provides employee pay checks and benefits, and GreenWave Radios will provide employment, evaluation, and advancement. By outsourcing some HR functions, GreenWave Radios can focus on what we do best – developing and implementing highly innovative SOC cellular radio integrated circuit products. Job Description InnoPhase Inc., DBA GreenWave™ Radios Bangalore is looking for a Lead Engineer – SQA Automation to join our fast-paced and motivated team to drive excellence in our 5G products. This role is an excellent opportunity for someone that enjoys driving the critical path and making a significant impact in launching products into the market and winning! Key Responsibilities • Design,

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