Mediation Zone Lead Jobs in Bengaluru

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Senior Product Designer Bengaluru | Design | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. From UPI to the FamCard, we re making payments cool, safe, and simple for the next generation. But we re not just building a payments app we re on a mission to raise a financially smart generation of 250M+ young Indians. Founded in 2019 by IIT Roorkee alumni, we re backed by world-class investors like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), and top angels including Kunal Shah and Amrish Rao. The Role: Senior Product Designer "It s the product that sells not just the idea." Design isn t just part of our process it s at the heart of what we do. We re crafting experiences that don t just work well but feel **magical**. As a Senior Product Designer at Fam, you ll lead the creation of intuitive, delightful, and impactful product experiences for India s Gen Z and younger users. If you love solving complex design problems, thrive in fast-paced environments, and believe in the power of design to inspire change we d love to meet you. What You ll Do Lead design projects across the entire product lifecycle from ideation to execution and iteration. Collaborate cross-functionally with Product, Engineering, Marketing, and Business teams. Design and ship high-impact UI/UX using Figma, while obsessing over visual and interaction details. Scale and evolve Fam s design system to ensure consistency across all platforms. Champion design thinking and push the creative boundaries to elevate the brand. Conduct user research & usability tests to inform design decisions and improve experiences. Stay on top of design trends (and memes) to keep the brand relevant and fresh. Must-Haves: 3+ years of experience designing consumer-facing mobile apps (especially B2C). A strong portfolio showcasing UX, interaction design, and shipped work. Hands-on Figma expertise, along with prototyping and basic motion design tools. Ownership mindset you've taken features or products from 0 1 (research to launch to feedback). Team player who s collaborated with product designers, engineers, and product managers. Gen Z energy you're in tune with what young users love (and cringe at). Bonus Points For: Experience in FinTech or payments. Skills in motion design or micro-interactions. Having a personal blog, portfolio site, or design community presence. Experience mentoring junior designers or leading small teams. Help define how India s next generation experiences money. Work in a **high-ownership, fast-growth environment** with a strong design culture. Collaborate directly with founders and the leadership team. Build design systems from the ground up and leave a lasting impact. Grow into a design leader in one of the most exciting spaces in tech. Perks & Benefits Relocation support for a smooth move to Bengaluru. Free office meals (lunch & dinner). Mental health support & therapy sessions. Comprehensive health insurance (for you + family). Special leaves: birthday, period, paternity/maternity, and more. Salary advances and interest-free loans. Recognition & referral rewards. Latest devices and gadgets. Tax-saving benefits (food coupons, phone reimbursements, leasing options). Retirement perks: PF, gratuity, leave encashment. A Little More About Us Our flagship product, FamX, integrates UPI and card payments so users can spend, save, and learn all in one place. We ve empowered 10M+ users to ditch cash and embrace a new way of managing money. At Fam, you re not just joining a startup you re joining a **mission-driven, people-first team** building something meaningful. Apply now and let s build something iconic together.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Manager Operations Location: Bengaluru Employment Type: Full-Time About the Role: We are looking for an experienced and forward-thinking Manager Operations to lead campus operations for Brookfield Properties in Bengaluru. The ideal candidate will bring over 10 years of experience in hospitality or real estate operations, with a proven track record of managing cross-functional teams, optimizing performance, and delivering best-in-class tenant experiences. As the operational lead for one or more campuses, you will oversee end-to-end property management, facilities operations, P&L oversight, vendor management, and customer-facing services. You will be expected to align operations with the Converge vision and drive strategic initiatives that enhance the campus environment, boost revenue, and ensure exceptional service delivery. Key Responsibilities: 1. Strategic Operations & Financial Management Develop and manage annual operating budgets; monitor P&L performance for campus/city-level operations. Work cross-functionally with leasing, marketing, tech, training, and transformation teams to execute activations and campus amenities. Lead cost optimization initiatives through preventative maintenance, energy management, and vendor negotiations. Explore new revenue streams through managed services, retail leasing, and partnerships. Support leasing of office and retail spaces in alignment with business plans. 2. Campus Operations & Experience Ensure seamless day-to-day campus operations in line with Converge standards. Implement strategies to enhance lobby, F&B, retail, and event experiences. Create and track SLAs, management reports, vendor agreements, AMCs, and compliance documentation. Conduct regular audits, walkthroughs, and cross-functional reviews to maintain high service and aesthetic standards. Plan and execute campus activations, including one marquee event annually. Partner with the marketing team to ensure alignment on all events and space-on-hire activities. Collaborate with procurement to ensure timely PO processing and vendor payments. 3. Team Leadership & Collaboration Lead campus teams including operations, F&B, tenant engagement, and event staff. Develop KPIs and implement SOPs to drive efficiency, service excellence, and staff performance. Champion a culture of continuous improvement, learning, and innovation. Guide onboarding/training of new staff across operational functions. Collaborate with corporate, city leadership, and transformation teams on strategic execution. 4. Tenant & Community Experience Work closely with tenants to enhance employee engagement and create a vibrant campus culture. Lead execution of tenant engagement surveys and act on feedback for service improvements. Support onboarding of tenants and amenities onto the Converge app and drive digital engagement. Design operational procedures to ensure consistent, high-quality tenant experiences. Encourage team involvement in delivering excellent customer care and personalized service. 5. Compliance, Safety & Sustainability Ensure adherence to fire safety, health, environmental, and legal compliance standards. Lead internal and external audits across all operational areas. Champion sustainability practices and social responsibility initiatives across the campus. Oversee maintenance and service infrastructure to ensure optimal functionality and safety. Who You Are: A strategic thinker with strong commercial acumen and customer-centric approach. A self-starter with the ability to lead autonomously and make sound business decisions. A strong communicator and collaborator who can manage multiple stakeholders and priorities. Resilient under pressure, detail-oriented, and driven to deliver high-impact outcomes. Passionate about elevating workplace experiences and building thriving communities. Preferred Qualifications: Bachelor's degree (minimum 3 years); specialization in Hospitality, Property, Facilities Management, or Business is preferred. 10+ years of experience in operations leadership within hospitality, real estate, or facilities sectors. Demonstrated success in leading large cross-functional teams. Strong client relationship management and vendor negotiation skills. Proven experience in driving operational excellence and process improvements. This Role Offers: The opportunity to lead operations at premier business campuses. Cross-functional exposure to marketing, leasing, digital products, and customer engagement. A high-impact role in shaping workplace experiences and community life across Brookfield campuses. Apply now to be part of a growing, dynamic team redefining the future of workspaces. Qualification : Bachelor's degree specialization in Hospitality, Property, Facilities Management, or Business is preferred

Position: Team Leader Marketing Location: Bangalore Department: IPC Marketing Function: Business Development Entity: Bajaj Capital Insurance Broking Ltd. Number of Positions: 1 Company Overview Bajaj Capital Insurance Broking Limited (BCIBL) is a licensed insurance broker (License No. 241, Code CB042/02), registered under the Companies Act, 1956. Since its inception in 2004, BCIBL has been a trusted name in the insurance broking industry, serving over 600,000 clients nationwide. The company offers a comprehensive portfolio of both life and general insurance products, backed by regulatory compliance and a customer-first approach. Role Summary We are looking for a proactive and results-driven Team Leader Marketing to manage on-ground data collection operations and ensure effective lead generation through field teams. The ideal candidate will have team management skills and be comfortable working in a target-oriented environment. Key Responsibilities Supervise and coordinate all data collection and lead generation activities Ensure achievement of daily/weekly targets by data surveyors Maintain high-quality lead databases for tele-calling and follow-up teams Ensure manpower availability and scheduling for consistent field operations Compile, review, and submit MIS reports to the Head Office on time Motivate and guide team members to optimize performance and efficiency Qualifications & Requirements Minimum Qualification: 12th pass (+2 and above) Strong verbal communication skills, with fluency in Kannada (mandatory) Ability to lead field teams and ensure execution of on-ground marketing activities Basic understanding of data entry, MIS reporting, and lead management Prior experience in field marketing or survey coordination is a plus Lead a high-energy field team at one of India's most reputable insurance brokers Gain valuable leadership experience in on-ground marketing and data operations Contribute to the company s growth by playing a key role in lead generation and market outreach

Position: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.

Red Team Hacker / Pen Tester (Onsite, Bangalore) Who We Are ColorTokens We re on a mission to keep businesses running safe and sound even when cyber attackers try to mess things up. Our next-gen platform, ColorTokens Xshield , stops ransomware and malware from spreading sideways inside companies, so critical stuff stays locked down and working. We ve got mad skills in spotting and controlling traffic between all kinds of devices and users from your typical laptops to IoT and medical gadgets. That means we can slice and dice security zones to keep bad actors contained. Forrester calls us a Leader in Microsegmentation (Q3 2024), and we help global companies avoid big $$$ downtime. Our Vibe We re all about hustling with heart. You ll get to own your projects, work with smart teammates, and solve tough problems that actually protect people from kids in hospitals to entire cities. If you re driven, curious, and ready to make a real impact, you ll fit right in. The Gig What You ll Do Run epic red team ops that mimic real-world hackers trying to break in. Hack (ethically!) into networks, apps (web, mobile, APIs), and cloud setups to find weaknesses. Build your own scripts and tools to level up your tests and dodge detection. Team up with defenders (blue team) to boost how we spot and stop attacks. Write clear, no-fluff reports with proof-of-concept hacks and smart fixes. Keep your finger on the pulse of the latest threats and hacker tricks. Jump into purple teaming and adversary simulations to sharpen our edge. Bachelor s in Cybersecurity, CS, or you ve got real-world chops that match. 6+ years deep in red teaming, pentesting across web, APIs, infrastructure, and cloud. Pro with tools like Cobalt Strike, Metasploit, Nessus, Burp Suite, Nmap, and scripting (Python/PowerShell/Bash). Solid grasp of MITRE ATT&CK, threat modeling, and adversary emulation. Know Windows & Linux inside out, Active Directory, plus cloud platforms (AWS, Azure, GCP). Bonus points if you re into social engineering, phishing, or physical security. Skilled at writing docs that actually make sense. Must-have certifications: OSCP is a must; CRTP, OSCE, OSEP, CRTE, GPEN, GXPN are pluses. Qualification : Bachelor's degree in Cybersecurity, Computer Science, or related field (or equivalent experience).

Platform Admin NextGen SIEM Location: Bangalore (Onsite) About ColorTokens At ColorTokens, we re all about helping businesses stay secure and keep running, no matter what cyber chaos hits. Our game-changing Xshield platform stops ransomware and malware from spreading sideways, so companies can keep their critical stuff safe and business uninterrupted. We bring insane visibility into traffic flows between workloads, IoT devices, users basically everything to create super tight security zones that isolate threats fast. We re a Forrester Wave Leader (Q3 2024) for microsegmentation and protect global giants from costly cyber disruptions. Our Culture We love self-starters who bring energy, curiosity, and big ideas. You ll get to own projects, collaborate with passionate teammates, and work on security that actually protects real people from hospitals to cities to entire nations. What You ll Do The Role You ll run and manage our NextGen SIEM platform think Splunk, Sentinel, Exabeam, Stellar Cyber, or similar making sure it s up-to-date, humming smoothly, and packed with the right alerts. Admin & Ops: Install, configure, patch, and keep the SIEM platform running 24/7. Log Boss: Bring in new log sources, troubleshoot ingestion issues, and ensure data is clean and compliant. Rule Maker: Build and tweak detection rules and alerts to catch real threats while cutting down false alarms. Integrate & Automate: Connect SIEM with other security tools and automate incident workflows. Lock It Down: Manage user access, keep the platform secure, and nail compliance requirements. Team Player: Work closely with SOC analysts, threat hunters, and engineers to level up detection and response. Support & Train: Help users get the most from the platform and be the go-to expert when incidents hit. Optimize & Report: Track performance, fix bottlenecks, and share insights to keep the platform sharp. What You Bring Your Skills & Experience 8+ years managing SIEM platforms, especially NextGen ones like Splunk, Sentinel, or Exabeam. Expert in log management, rule creation, and onboarding data from all sorts of sources. Solid scripting skills (Python, PowerShell) to automate and customize workflows. Deep knowledge of log formats (Syslog, JSON, XML), querying languages (KQL, SPL, AQL), and data pipelines. Experience integrating SIEM with EDR, SOAR, NDR, and threat intel platforms. Familiar with security frameworks like MITRE ATT&CK, NIST, or CIS. Bonus points if you know cloud security (AWS, Azure, GCP), machine learning in SIEM, or SOAR tools like Cortex XSOAR or Phantom. Your Credentials Bachelor s degree in Computer Science, InfoSec, or related field (or equivalent experience). Relevant certifications like Splunk Certified Admin, Microsoft Security Operations Analyst, QRadar cert, or CISSP are a major plus. What Success Looks Like Keep SIEM uptime near 100%. Smoothly onboard new log sources and build killer detection use cases. Reduce noise fewer false positives, sharper alerts. Fast, effective fixes when platform issues pop up. Align SIEM capabilities tightly with security and business goals. Qualification : Bachelors degree in Computer Science, InfoSec, or related field (or equivalent experience).

Technical Consultant - L1 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Role Overview: The Technical Consultant professionals will provide technical expertise to plan, analyze, define, and support the delivery of technical capabilities for clients' transformation, enhancement, advanced problem-solving skills, and support projects. Key Responsibilities: Independently work as an expert in the respective SAP technical workstream for an SAP implementation/conversion/development/enhancement/support project. Develop high-level design, detailed design, and technical/integration solutions to meet the needs. Collaborate with clients to understand their business needs and processes. Participate in technical and technology workshops to understand and deliver integration requirements. Drive client discussions to define integration requirements and translate them into technical solutions. Provide training and support to end-users. Write technical specifications and test plans for development teams to ensure test-driven development. Manage projects and timelines effectively. Provide expert support to various projects and delivery engagements as and when required. Drive innovation/transformation agenda in large existing accounts and provide delivery support. Engage in escalation management and client delivery support. Interact with SAP and third-party partners. Performance Metrics: No. Performance Parameter Measure 1. Job Knowledge Consider existing skill levels and measure cross-skills & upskills acquired to remain current on new developments in respective SAP Technical module. 2. Customer Satisfaction As defined by client SLAs. 3. Managing Change & Improvement Measure effectiveness in initiating changes, adapting to changes from old methods when they are no longer effective. Measure overall adaptability/flexibility to move from one project to another project. 4. Functional Leadership Measure effectiveness in accomplishing work assignments through subordinates; delegating & coordinating effectively. 5. Customer Responsiveness Measure responsiveness & courtesy in dealing with external customers, internal staff, and teammates in a courteous manner. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome.

Director, Engineering Location: Bangalore, India Full Time Company: Meta Meta is seeking an experienced Engineering Director to lead and build our engineering team in India. This is a unique opportunity to help shape the future of Meta s engineering presence in the region, driving technical decision-making, collaboration, and execution to create high-quality enterprise software systems. As an Engineering Director, you will influence the technical direction, prioritize key initiatives, and lead a high-performing engineering team in a fast-paced, impact-focused environment. You ll have the opportunity to shape Meta s engineering strategy, recruit founding engineering teams, and ensure the successful delivery of complex enterprise systems. Key Responsibilities: Lead and execute strategies for delivering enterprise systems across various domains. Identify and seize new opportunities for growth and innovation within the organization. Drive the long-term technical vision and roadmap for large, enterprise-wide initiatives. Collaborate with cross-functional teams and influence key decisions for optimal outcomes. Manage teams delivering multiple high-impact projects in ambiguous or complex environments. Set clear goals, measure team impact, and drive engineering excellence. Build, lead, and nurture engineering teams to deliver on increasingly complex and interdependent projects. Minimum Qualifications: Bachelor s degree in Computer Science, Engineering, Applied Sciences, or a related field. 10+ years of progressive experience in software engineering, including at least 5 years of leadership experience. Proven expertise in coding in at least one of the following languages: C++, Java, Python, JavaScript, or PHP. Extensive experience in building large-scale enterprise software systems from the ground up. Proven track record of managing technical teams and serving as a technical lead. Experience in designing and developing distributed systems. Deep knowledge in enterprise systems across Finance, Supply Chain, or HR. Experience in defining software projects and making data-driven decisions. Preferred Qualifications: Experience setting up and leading an engineering office or team. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is pushing beyond 2D screens toward immersive experiences in augmented and virtual reality to help create the next evolution in social technology. Join Meta and help shape a future where digital connection goes beyond the constraints of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics. Qualification : Bachelors degree in Computer Science, Engineering, Applied Sciences, or a related field.

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Research Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is leading the way in transforming the world through digital experiences. From emerging creators to global enterprises, we empower everyone to bring ideas to life with powerful images, videos, documents, and applications across every platform. Innovation, creativity, and inclusivity are the cornerstones of our company culture where great ideas can come from anyone, anywhere. About Adobe Research Adobe Research is one of the world s premier industrial research organizations, where we invent the future of creativity, documents, and autonomous systems through cutting-edge AI and ML innovation. We blend academic excellence with product-focused impact, shaping how millions interact with Adobe s tools and platforms every day. Areas of Research Focus Natural Language Processing (NLP) Natural Language Generation (NLG) Human-Computer Interaction (HCI) and User Experience (UX) Computer Vision Deep Learning & Machine Learning Artificial Intelligence (AI) Image, Audio, Video, and Multimodal Data Processing Autonomic Systems and Computing Responsibilities Invent, design, and prototype breakthrough AI technologies for next-generation Adobe products. Identify emerging research areas and help shape Adobe s long-term research agenda. Publish your work in top-tier journals and conferences, establishing thought leadership in your field. Collaborate with leading academic institutions and global research communities. Partner with cross-functional teams of engineers, designers, and product managers to bring research innovations to production. Required Qualifications Ph.D. (preferred) or Master s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field. Proven research excellence with a strong publication record in top-tier conferences or journals. Strong experience in one or more of the following: machine learning, deep learning, NLP, computer vision, or multimodal data processing. Demonstrated ability to solve complex, open-ended problems and innovate under uncertainty. Proficiency in software development and modeling (e.g., Python, PyTorch, TensorFlow, etc.). Excellent communication skills, including scientific writing and presentation abilities. Preferred Qualifications (for Senior Roles) 7+ years of research experience in academia or industry. Experience leading research teams or initiatives with significant real-world impact. Collaborate with world-class scientists and thought leaders. Work on breakthrough research that has direct impact on Adobe products used by millions globally. Enjoy a creative and intellectually rich environment with the freedom to explore your ideas. Publish, present, and build your reputation in the global research community. Competitive compensation, excellent benefits, and flexible work culture. Adobe is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We welcome candidates from all backgrounds and experiences. Qualification : Ph.D. (preferred) or Masters degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Job Description: Electrical Manager Experience: 3+ Years Qualification: B.TECH (Mandatory), M.TECH (Preferred) Job Description: We are seeking an experienced Electrical Manager with at least 3 years of experience to oversee the electrical works for construction projects. The ideal candidate will have a deep understanding of electrical drawings, materials management, and project planning. The role involves managing all stages of electrical works, from planning and scheduling to execution and handover. The candidate should have completed and handed over at least two projects, including one residential and one commercial project. Key Responsibilities: Electrical Project Management: Lead the electrical team and manage electrical works for construction projects. Oversee the planning, coordination, and execution of all electrical works, ensuring they align with project specifications and timelines. Monitor and manage electrical works for both residential and commercial projects. Electrical Drawings and Works: Possess a strong knowledge of electrical drawings and works, ensuring their proper execution. Review and prepare electrical shop drawings for approval, and ensure timely submission of samples for technical approval. Tender Analysis and Worker Orders: Analyze the Tender Bill of Quantities (BoQ) and worker orders to ensure accurate estimation and cost management for electrical works. Planning & Scheduling: Create and manage electrical project schedules using MSP (Microsoft Project), ensuring efficient and timely completion of tasks at each project stage. Monitor progress and implement corrective actions when necessary to avoid delays. Material Management: Prepare and manage material requisitions and procurement processes for electrical works. Ensure proper material handling, tracking, and inventory management. Documentation & Reporting: Prepare and maintain various project documentation such as MIR (Material Inspection Reports), RPI (Request for Inspection), ECR (Engineering Change Requests), DPR (Daily Progress Reports), DLR (Daily Log Reports), and other important documents. Create and review method statements, micro work schedules, cash flow statements, and other documentation related to the electrical works. Approval and Certification: Prepare and submit client bills, ensuring that they are certified in a timely manner. Coordinate with clients and vendors to ensure that all approvals are obtained as needed. Coordination: Collaborate with other project teams to ensure the smooth integration of electrical systems with other construction works. Coordinate with vendors, PMO teams, and clients to ensure timely and successful project completion. Communication and Leadership: Provide leadership and guidance to the electrical team, ensuring high-quality work and adherence to project timelines. Exhibit excellent communication skills to interact effectively with clients, subordinates, vendors, and PMO teams. Qualifications and Skills: Experience: Minimum 3 years of experience as an Electrical Manager in the construction industry. Proven experience in completing at least two projects (one residential and one commercial). Technical Skills: Strong knowledge of electrical drawings and works, with the ability to review and approve shop drawings. Proficiency in MS Office, CAD, and MSP (Microsoft Project) for planning and scheduling electrical works. Documentation & Compliance: Experience in preparing and reviewing project documentation such as MIR, RPI, ECR, DPR, DLR, JMS, and other critical documents. Project Management: Experience in planning and scheduling electrical works, monitoring project progress, and ensuring timely completion. Familiarity with material management, procurement processes, and cost estimation. Communication Skills: Strong communication skills to interact with clients, vendors, subordinates, and other project stakeholders. Ability to lead a team and ensure seamless coordination between different departments. Qualification: A B.TECH degree in Electrical Engineering is mandatory. M.TECH is preferred. Other Skills: Strong problem-solving abilities and attention to detail. Ability to work under pressure and manage multiple tasks effectively. What We Offer: Competitive salary and benefits. Opportunity to work on diverse and high-profile construction projects. A collaborative and growth-oriented work environment. Qualification : A B.TECH degree in Electrical Engineering is mandatory. M.TECH is preferred.

Location: Bengaluru (Land of startups, street food, and tech sorcery) Region: IN (aka Incredible India ) Your Mission (Should You Choose to Accept) We re on the hunt for a Data Defender Extraordinaire who knows their way around DLP (Data Loss Prevention) tools like a wizard with their spellbook. Your daily grind? Guarding sensitive data like it s the last slice of pizza at a party. Intrigued? Read on! What You'll Be Juggling Spot the weak spots assess, predict, and eliminate risks lurking in the DLP universe. Play DLP DJ fine-tune policies, tweak settings, and generate reports that even Sherlock would envy. Be the first responder to DLP alarms, acting faster than your favorite food delivery app. Team up with data owners, legal, and compliance crews because data protection is a team sport. Stay thirsty for knowledge keep your data defense skills sharp and shiny. Continuously polish DLP workflows innovation doesn t sleep, and neither do threats. Tinker with tools troubleshoot, upgrade, and experiment with new DLP features like a mad scientist. Brainstorm like a boss find smarter ways to shield data and improve our security fortress. Identify sneaky gaps and plug them with creative solutions (your inner detective will love this). Rethink risk scores like a pro because risk is rarely a static creature. Support the incident response squad from escalations to triage, you ve got their backs. Suggest clever ways to uncover hidden sensitive data because secrets love hiding in plain sight. Partner with legal eagles & compliance gurus to keep our data playbook always regulation-ready. Research like a lone wolf and solve tech puzzles solo when needed (self-starter vibes are welcome). Who We re Looking For 5+ years fighting the good fight in InfoSec, especially around Governance, Risk & Compliance (GRC). DLP veteran you ve configured, deployed, troubleshot, and reported your way through multiple tools. Natural leader either as a subject matter expert or a hands-on lead. Analytical ninja you can spot security puzzles no one else can and know exactly when to hit the panic button. Fluent in Windows & Mac (bonus points if you speak Linux too). Words matter you can write a killer email and explain technical gobbledygook to non-tech folks without breaking a sweat. Bonus superpower: Integrity. We want someone who does the right thing, even when no one s looking. In short: If you can talk DLP like a pro, think like a hacker (but stay on the good side), and communicate like a TED speaker we should probably talk.

About Nutanix At Nutanix, we believe in being Hungry, Humble, Honest, with Heart core values that define who we are and how we work. We push boundaries, put our customers first, and collaborate to solve the toughest technical challenges in innovative ways. The Opportunity Join a team of highly talented engineers spread across different geographies and experience levels. In this role, you'll work on cutting-edge technology, mentor rising talent, and help shape the future of our products. The most successful candidate will: Constantly improve the product by learning from customer feedback and exploring beyond existing technologies. Devise data-backed solutions with solid research and evidence. Communicate effectively with a geographically diverse audience, using strong writing and presentation skills. Engage in design discussions beyond your comfort zone, learning and growing on the go. Mentor junior engineers, nurturing their curiosity and encouraging growth. Assist with customer escalations when needed, reflecting our commitment to putting customers first. Collaborate with open-source communities, contributing product improvements to community projects. About the Team You ll be reporting to Prerna Saxena, our Senior Engineering Manager who has been with Nutanix since 2015. Prerna leads a supportive and collaborative team of 9 engineers, dedicated to helping each other grow and succeed. What the Team Says: "The team is an amazing group to work with supportive, collaborative, and all-around awesome. You'll find yourself fitting right in and enjoying the camaraderie and teamwork." How We Work: We operate in a hybrid work environment, with in-person team meetings twice a week to brainstorm, connect, and stay aligned. This balance of remote flexibility and in-office collaboration creates a dynamic and productive environment. Your Role As a Senior Software Engineer, you will: Apply rock-solid OS/systems fundamentals to drive design and implementation. Debug and write low-level code for hardware architectures, preferably x86. Write and maintain enterprise-quality code. Use top-down thinking to break down abstract concepts into actionable tasks. Deliver features with proven experience in building scalable, reliable enterprise software. What You Bring Bachelor s or Master s degree in Computer Science or equivalent. 8+ years of experience building enterprise-grade software. Strong knowledge of x86 virtualization and the KVM stack. Experience with Linux kernel/virtualization stack is a big plus. Proven track record of feature delivery in large, complex projects. Work Arrangement Hybrid: This role blends the flexibility of remote work with the advantages of in-person collaboration. Most roles require 2 3 in-office days per week, but specific team norms may vary. Qualification : Bachelor's/Masters degree in Computer Science or equivalent.

Role Overview: We are seeking a Mediation Software Engineer with expertise in Mediation Zone, Oracle DB, and strong Linux and SQL skills. The ideal candidate will have experience designing mediation workflows, developing low-level designs, and working with telecom billing systems and network feeds. Skills Required: Mediation Product: Proficiency in Mediation Zone with knowledge of offline and online mediation processes. Database Knowledge: Experience with Oracle DB. Proficiency in APL/UFDL, Linux, and SQL, with the ability to design templates and patterns. Telecom experience, including familiarity with billing systems and network feeds, is preferable. Roles & Responsibilities: Attend workshops with IT teams to gather and analyze development requirements. Develop low-level designs, update design templates, and maintain operational documentation for mediation services. Design mediation workflows, adhering to standards and defining business logic and data validation rules. Conduct design review walk-throughs with stakeholders. Act as the primary point of contact for the development team on mediation services. Support the testing team by resolving design-related queries, reviewing test plans, and validating test results during various testing phases (UAT, FAT). Create acceptance criteria as part of the requirements documentation to guide developers and testers in creating test cases and validating outputs against business requirements.