Technical Lead Jobs in Bengaluru

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Technical Manager Location: Bengaluru Hiring is still weighed down by outdated processes manual screening, unconscious bias, and heavy administrative overhead. Talview is changing that with GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. We help organizations focus on what truly matters: finding exceptional people. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer transforming first-round screenings. Impact: 10M+ assessments delivered across 120+ countries for global enterprises. The Role We re looking for a Technical Manager who thrives at the intersection of technical depth, architectural ownership, and people leadership. You will lead high-performing engineering teams, guide complex architectural decisions, and partner with product leadership to deliver enterprise-grade, AI-driven products. What You ll Do Lead & Mentor: Guide frontend, backend, and QA engineers to deliver high-impact features. Architectural Evolution: Ensure performance, scalability, security, and resilience across platforms. Product Strategy: Partner with Product and Design to translate business needs into technical roadmaps. Engineering Excellence: Set standards for code quality, testing, CI/CD, and observability. Talent Development: Conduct 1:1s, provide feedback, and coach engineers through career progression. Requirements Experience: 8+ years in software development with 2+ years in engineering leadership. Tech Stack: Strong full-stack background in JavaScript/TypeScript, React, Node.js, Java, or Python. Cloud & API: Hands-on experience with AWS, Azure, or GCP and REST/GraphQL APIs. Architecture: Deep understanding of microservices, system design, and distributed systems. Databases: Proficiency in SQL and NoSQL environments. Bonus Points Experience building and scaling SaaS products. Practical understanding of AI/ML concepts and applications. Experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Our Culture: The 5Cs We are driven by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We ship quality, trust each other, and communicate openly. What You Get Competitive compensation and best-in-class hardware/software. Work-Life Balance: 5-day work week with flexibility. Perks: Fully stocked pantry, gourmet coffee, monthly team lunches, and annual offsites. Growth: Accelerated career growth in a fast-scaling product organization.

Position: Technical Support Engineer - L2 Job Type: Full-Time Location: Bangalore Department: Technical Support About BlueOptima: At BlueOptima, our mission is to be the global leader in optimizing the performance of software engineers across all industries. Through our cutting-edge metrics in software development, we empower large organizations to build better software, faster and at lower costs. Our innovative technology pushes the boundaries of what s possible, making a real difference in software delivery. With a global presence including offices in London, India, Mexico, the US, and Japan we are a diverse team of 120 people from over 20 countries. We foster a collaborative, open-minded environment where every individual can create their own success story in a high-performance setting. Job Description: As a Technical Support Engineer - L2, you will play a critical role as the senior technical leader between customer-facing teams, Product Management, and Engineering. You will provide deep technical expertise, troubleshooting complex issues, contributing to product development, and ensuring the smooth success of customer engagements. This role is highly dynamic and involves working closely with multiple teams, managing escalated support cases, coordinating new features and fixes, and creating internal best practices. Key Responsibilities: Customer Success Support: Act as a technical lead for pre-sales, deployment, and support teams. Troubleshoot escalated support issues, replicate environments, and collaborate with engineering to resolve problems quickly and efficiently. Product Feedback & Roadmap Alignment: Actively participate in "road-testing" pre-release software, providing crucial feedback to Product Management, and helping ensure customer requirements are aligned with the product roadmap. Technical Exploration & Research: Lead deep technical investigations, such as benchmarking custom use cases, and prototype new features to improve the overall customer experience. Enablement & Knowledge Sharing: Contribute to internal documentation, including product capabilities and best practices, and deliver regular training sessions to technical teams to promote continuous learning. Qualifications: Core Technical Skills: Advanced Systems Administration: Expertise in Linux and Windows, including performance tuning, kernel parameters, and filesystem management. Scripting Skills: Strong proficiency in Bash, Python, or similar languages to automate complex tasks and gather detailed debugging data. Enterprise Storage: Experience with SAN, NAS, and related enterprise storage technologies and architectures. Disaster Recovery: Hands-on experience with data copy, replication, and disaster recovery solutions. Cloud Storage: Experience working with Cloud Object Stores like AWS S3, Azure, or Google Cloud. Virtualization & Containerization: Knowledge of Docker, IaaS, and PaaS technologies. Additional Technical Skills: In-depth knowledge of version control systems (Git, Subversion). Familiarity with security concepts (Kerberos, SSL/TLS, LDAP). Advanced networking knowledge, including packet tracing and tuning. Understanding of Java concepts and integrations. Experience & Education: 10-15 years of experience in IT, with a focus on Linux-based systems and enterprise environments. Bachelor s degree in Computer Science or a related field. Soft Skills: Communication: Ability to explain complex technical concepts to both technical and non-technical audiences. Problem-Solving: Strong methodical troubleshooting skills and the ability to think critically in high-pressure situations. Customer-Facing Experience: Previous experience in customer-facing roles, with the ability to manage expectations and deliver results. Calm Under Pressure: A composed, professional demeanor even in high-stakes situations. Continuous Learning: Enthusiasm and curiosity to stay ahead of new technologies and industry trends. At BlueOptima, you ll be part of a pioneering company with a mission to transform the way software performance is optimized. We value innovation, collaboration, and individual growth, offering a dynamic and high-performance environment where your contributions truly make an impact. If you re looking to advance your career while working with cutting-edge technology, BlueOptima is the place to be. Qualification : Bachelors degree in Computer Science or a related field

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

Position: Technical Lead / Project Lead Hardware Design Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication or Electronics & Telecommunication M.E./M.Tech. in Electronics & Communication Experience: 5 to 8 years Job Overview We are seeking a dynamic and experienced Technical Lead / Project Lead Hardware Design to join our engineering team in Bangalore. In this leadership role, you will guide a team of hardware engineers through the end-to-end design and development of advanced embedded and FPGA-based systems primarily for defense and industrial applications. You'll be responsible for ensuring high-quality, defect-free, and timely project deliveries while driving technical excellence and process adherence. Key Responsibilities Technical Leadership Lead hardware design projects from specification to delivery, ensuring robust and scalable solutions. Provide technical guidance to team members in circuit design, schematic development, and board-level design. Finalize board specifications based on customer requirements and prepare detailed technical documentation. Review hardware modules and ensure compliance with design best practices and industry standards. Lead Signal Integrity (SI), Power Integrity (PI), and thermal analysis during design and validation phases. Project Management Plan, monitor, and track project schedules, resource allocation, and delivery milestones. Coordinate with the Project Manager and cross-functional teams to ensure alignment and timely progress. Conduct internal project meetings, present status updates, and recommend process or technical improvements. Ensure adherence to QMS guidelines, project processes, and quality goals. Team Development & Support Mentor junior engineers and support individual learning and development plans. Manage a small team, resolve technical and interpersonal challenges, and promote a collaborative work environment. Assist in performance reviews and team development initiatives. Quality & Process Improvement Drive defect prevention initiatives and participate in continuous improvement of design processes. Coordinate configuration management and quality control activities throughout the project lifecycle. Technical Skill Set Strong hands-on experience in FPGA-based board design and embedded hardware development. Expertise in system-level architecture, processor interfaces, DDR memory design, serial bus protocols, and networking. Proficient in board bring-up and debugging at system level. Experience with embedded hardware design for defense applications and understanding of qualification processes. Tools: Schematic capture/layout: OrCAD, Allegro Signal integrity tools for SI/PI analysis Soft Skills Excellent verbal and written communication skills Strong people management and leadership capabilities Effective time management, organization, and planning Proven ability to manage small teams and drive project success Familiarity with quality systems and engineering best practices Opportunity to work on cutting-edge, high-impact hardware projects Collaborative and technically strong work environment Competitive compensation and benefits package Focus on leadership development and continuous learning Dynamic and inclusive workplace culture Qualification : M.E./M.Tech. in Electronics & Communication

Position: Technical Lead - DevOps Location: Bangalore Rural, Karnataka, India Department: Data Platform and DevOps Employment Type: Subexian Experience Required: 3 to 6 years Job Overview: We are seeking an experienced Kubernetes Administrator with a strong background in managing containerized environments. The ideal candidate will have 4+ years of hands-on experience in deploying, configuring, and optimizing Kubernetes clusters to drive scalability, reliability, and performance. This is an excellent opportunity to leverage your expertise in Kubernetes orchestration while contributing to the overall success of our platform. Key Responsibilities: Cluster Management: Deploy, configure, and manage Kubernetes clusters both on-premises and across cloud platforms such as AWS, Azure, and GCP. Security & Compliance: Implement best practices for cluster security, including role-based access control (RBAC), network policies, and data encryption at rest and in transit. Automation: Automate cluster provisioning and ongoing management using tools like Terraform, Ansible, or Helm charts, streamlining operations and reducing manual tasks by 40%. Monitoring & Performance: Continuously monitor cluster health and performance metrics using tools like Prometheus, Grafana, ensuring high availability and optimal performance. CI/CD Pipelines: Design and implement CI/CD pipelines for containerized applications using tools such as Jenkins, GitLab CI/CD, and CircleCI to enable smooth continuous delivery. Collaboration: Work closely with development teams to troubleshoot issues, optimize application performance, and ensure compatibility with Kubernetes environments. Security Audits: Conduct regular security audits to identify vulnerabilities and ensure compliance with industry standards. Documentation: Maintain clear and comprehensive documentation for deployment procedures, configuration settings, and troubleshooting guides to enhance knowledge sharing within the team. Infrastructure Management: Administer and maintain Linux/Unix servers and virtualization platforms such as VMware or KVM, ensuring seamless operations across the infrastructure. Backup & Recovery: Implement and manage robust backup and disaster recovery solutions to ensure data integrity and minimize system downtime. Technical Support: Provide expert-level technical support for server and network infrastructure-related issues. Required Skills & Qualifications: Proven experience in Kubernetes deployment, configuration, and administration. Strong command of containerization technologies, including Docker and containerd. Hands-on experience with cloud platforms such as AWS, Azure, and GCP. Proficiency in Infrastructure as Code (IAC) tools like Terraform and Ansible. Familiarity with CI/CD pipelines and automation tools like Jenkins and GitLab CI/CD. Excellent troubleshooting and problem-solving skills. Strong communication and collaboration abilities, with the capability to work effectively across cross-functional teams. If you re passionate about DevOps, Kubernetes, and driving the success of containerized environments, we d love to hear from you!

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Job Title: Technical Lead - .NET | 7+ Years Experience | Angular, .NET Core, Azure/AWS | Bangalore, India Location: Bangalore, Karnataka, India About the Role: We are looking for an experienced Technical Lead - .NET with over 7 years of hands-on expertise in .NET Core, ASP.NET MVC, and Web API development. You will lead the design and delivery of scalable web applications, mentor development teams, and ensure adherence to best practices. The ideal candidate has strong frontend skills with Angular (v10+), solid backend knowledge, and experience with cloud platforms and DevOps. Key Responsibilities: Lead and contribute to full-stack development using .NET Core, ASP.NET MVC, and Web API Develop and maintain frontend applications with Angular 10+ Design, implement, and consume RESTful APIs with JSON data exchange Write clean, maintainable, and scalable code following software engineering best practices Work extensively with Entity Framework, Dapper, LINQ, and SQL Server for data access and management Collaborate with cross-functional teams in an Agile environment Drive DevOps practices including CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitHub Actions Mentor junior developers and provide technical leadership and guidance (Preferred) Utilize cloud platforms such as Azure or AWS for application deployment and scaling (Optional) Knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes Required Skills & Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or related field 7 to 8 years of professional experience in software development, with a strong focus on .NET technologies Proficient in Angular 10+ for frontend development Solid understanding of Entity Framework/Dapper, LINQ, and relational databases (SQL Server) Expertise in designing and consuming RESTful APIs and working with JSON Familiarity with Agile methodologies and DevOps tooling Excellent problem-solving and analytical skills Strong leadership and team collaboration abilities Preferred Skills: Experience with Azure, AWS, or other cloud platforms Familiarity with Docker and Kubernetes Open Positions: 2 Lead impactful projects with the latest Microsoft and frontend technologies Work in a vibrant tech ecosystem in Bangalore Grow your leadership skills while driving innovation in a fast-paced environment Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Technical Architect Salesforce Location: Bangalore, India Team: Enterprise Applications About the Team Rubrik s Enterprise Applications team is responsible for managing core SaaS systems (Salesforce, NetSuite, Workday, Coupa, etc.) supporting key business processes including Lead-to-Cash, Hire-to-Retire, and Customer Support. Their mission is to enhance business value and user experience while scaling the organization. Role Overview As a Salesforce System Architect, you will be the strategic and technical lead responsible for designing, implementing, and optimizing scalable Salesforce solutions. This is a high-impact role requiring deep technical knowledge, enterprise-grade architectural skills, and strong collaboration with both business and IT stakeholders. Key Responsibilities Architecture & Design Define scalable, secure, and maintainable Salesforce architecture. Establish design and integration standards and best practices. Evaluate and integrate AppExchange tools and third-party solutions. Development & Implementation Provide technical leadership to developers and admins on complex projects. Oversee integrations between Salesforce and enterprise systems (e.g., ERP, HRIS). Lead end-to-end solution delivery design through deployment. Strategy & Collaboration Translate business requirements into architectural blueprints. Act as a trusted advisor to stakeholders on leveraging Salesforce for impact. Align solutions with broader enterprise architecture and IT strategy. Optimization & Maintenance Monitor and optimize system performance and scalability. Address technical debt, platform upgrades, and continuous enhancements. Governance & Compliance Define and enforce data governance, security, and SOX compliance protocols. Ensure proper licensing and usage in line with Salesforce contracts. Experience You ll Need Required 10+ years of Salesforce experience, including development and architecture. Strong command of Sales, Service, Experience, and Marketing Clouds. Expertise with Lightning, Apex, SOQL, Visualforce, Flows, and LWC. Proven record of integrating Salesforce with ERP, HR, and custom apps. Deep familiarity with CI/CD tools (Copado, Gearset) and DevOps practices. Salesforce certifications: System Architect, Application Architect, or CTA (preferred). Preferred Experience with Agile/Scrum delivery. Hands-on with ETL tools like MuleSoft, Informatica, Dell Boomi. Excellent problem-solving and stakeholder communication skills. Core Competencies Strategic and architectural thinking. Leadership and mentorship of technical teams. Ability to balance multiple priorities in a fast-paced environment. Strong attention to detail and focus on quality. Strong interpersonal and collaboration skills. Rubrik leads in Zero Trust Data Security , offering cutting-edge technology to protect enterprise data from cyber threats. The company supports continuous learning, innovative work, and impactful contributions within a high-growth environment.

Technical Lead - L1 | Mumbai, India Country/Region: IN About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. We deliver innovative digital transformation solutions across 65 countries with over 230,000 employees. Role Purpose The Technical Lead - L1 role focuses on supporting process delivery, overseeing the performance of Production Specialists, and resolving technical escalations. The role also involves developing the technical capability of the team and ensuring excellent client service. Key Responsibilities Process and Performance Management Review daily performance metrics and transactions for the team. Provide technical support and guidance to improve performance parameters. Track and resolve client queries in compliance with SLAs. Document trends from client issues to develop preventive measures. Technical Escalation & Troubleshooting Diagnose and resolve technical issues promptly and professionally. Escalate unresolved issues to relevant teams for timely resolution. Provide clients with step-by-step troubleshooting guidance. Follow up with clients to collect feedback and ensure service compliance. Capability Development and Training Mentor Production Specialists and improve their technical capabilities. Identify skill gaps and conduct targeted training sessions (triages). Stay updated with product changes through ongoing training programs. Share best practices with the team for continuous improvement. Team Management and Client Engagement Monitor team productivity, efficiency, and absenteeism. Track client feedback and performance metrics (Pulse score, NSAT/ESAT). Ensure client satisfaction by resolving technical queries and providing exceptional service. Key Performance Metrics Process: Number of cases resolved, compliance to SLAs, customer feedback (NSAT/ESAT). Team Management: Productivity, efficiency, absenteeism rates. Capability Development: Triages completed, technical test performance. Join Wipro and contribute to transformative digital solutions with cutting-edge technology. Be a part of our diverse, inclusive team where innovation thrives. Applications from people with disabilities are explicitly welcome.

Technical Lead-Base Level (CTMS Setup) Location: Bengaluru (100% Home-based role) Job Overview: The Technical Lead will be responsible for developing, populating, and supporting templates related to clinical trial payments in the Clinical Trial Management System (CTMS) and other applicable payment systems. The role includes providing assistance and support to Contract & Centralized Services (CCS), business partners, and stakeholders in the use of CTMS for clinical trial payments. This is a fully remote position. Key Responsibilities: CTMS Payment Support: Support the study team training on CTMS payment processes and maintain data entry completeness for clinical trial payments. Issue Resolution & Tracking: Assist with complex issue resolution, resolve failed payments, track issue statuses, and attend meetings to review ongoing issues. Study Setup & Collaboration: Ensure proper study setup in CTMS, collaborate with business partners and stakeholders to address issues and ensure alignment with study goals. Template Creation & Revision: Create or revise payment templates in the CTMS and ensure their accuracy. Issue Management: Support issue resolution via the SAM tool, participate in team meetings, and provide support to other CCS CTMS regions. Adherence to Guidelines: Ensure that all services provided comply with client SOPs, WIs, policies, local regulatory requirements, and ICH-GCP guidelines. Additional Deliverables: Assist with any additional deliverables as assigned to meet project goals and ensure seamless study operations. Qualifications: Education: Bachelor's degree or equivalent in appropriate scientific or business disciplines. Experience: 2-4 years of experience in the pharmaceutical or clinical research industry, specifically in clinical trial payments, pricing, or budgeting. CTMS Experience: Strong hands-on experience with Clinical Trial Management Systems (CTMS) is a must; familiarity with EDC (Electronic Data Capture) systems is a plus. Communication Skills: Fluent in English, with excellent oral and written communication skills. Compliance Knowledge: Familiarity with healthcare compliance and other relevant regulations (e.g., HIPAA, FCPA, Safe Harbor, etc.). Analytical Skills: Strong analytical abilities and problem-solving skills to address challenges effectively. Cross-Functional Collaboration: Ability to work effectively in cross-functional teams and interact with various levels of the organization. PC & Database Management Skills: Proficiency with MS Office suite and database management tools. Work Style: Self-motivated with the ability to work independently and accomplish substantial tasks with minimal supervision. Virtual Work Experience: Previous experience working in a virtual environment and collaborating remotely. Desired Attributes: Innovative Spirit: Ability to bring forward creative solutions to complex problems. Interpersonal Skills: Strong ability to collaborate and maintain positive working relationships with team members and stakeholders. This position offers an exciting opportunity for an individual with a strong background in CTMS, clinical trial processes, and problem-solving abilities, seeking to work in a dynamic and fully remote environment. If you are a motivated professional with experience in clinical trial management and payments, we encourage you to apply. Qualification : Bachelor's degree or equivalent in appropriate scientific or business disciplines.

Job Title: ACP - Senior Technical Lead / Technical Lead, Diagnostics Group: ACP Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 11 years About CARIAD (Car, I Am Digital) CARIAD is a forward-thinking automotive software company within the Volkswagen Group. We are working to enhance the software capabilities of the Group and shape the future of automotive technology. Our mission includes developing a unified technology and software platform, which integrates vehicle operating systems, cloud platforms, and architectures for all Volkswagen Group brands. CARIAD India operates under a brand licensing agreement with Germany-based CARIAD SE, contributing to automotive mobility transformation. Joining CARIAD means working in an innovative, collaborative environment alongside over 6,000 professionals globally. Job Description We are seeking a Senior Technical Lead / Technical Lead, Diagnostics to work on Adaptive AUTOSAR-based products and solutions. In this role, you will be responsible for designing, configuring, integrating, and testing diagnostics solutions for automotive systems. As a technical leader, you will guide teams, resolve complex technical problems, and drive the successful delivery of embedded automotive solutions. You will collaborate with Software Product and Solution Architects to create software architecture tailored for the diagnostics area. Key Responsibilities: Software Architecture & Design: Collaborate with architects to create the software architecture for diagnostics solutions within an Adaptive AUTOSAR-based product or solution. Technical Leadership: Provide technical leadership for projects, resolve technical challenges, and guide teams to meet project requirements on complex embedded automotive systems. Project Planning: Assist in providing work-breakdown structures and effort estimations for project planning. Diagnostics Integration: Hands-on experience in configuring, integrating, and testing diagnostics solutions in the automotive domain. Team Guidance: Lead or support a team of engineers in solving technical challenges and ensuring efficient delivery. Collaboration: Work with cross-functional teams, including software architects, system engineers, and quality assurance teams, to ensure diagnostics solutions are integrated seamlessly. Problem Solving: Use strong analytical skills to troubleshoot and resolve issues during development and testing phases. Primary Skills / Qualities: Expertise in Diagnostics: Strong domain knowledge in automotive diagnostics, particularly within the context of Adaptive AUTOSAR architecture and methodologies. AUTOSAR Experience: Proven experience with AUTOSAR-based automotive ECUs, especially Adaptive AUTOSAR. C++ Programming: Minimum 5 years of hands-on experience with C++ (14, 17, 20) programming, including expertise in function and class templates, design patterns (e.g., Factory, Observer, Singleton), and multithreading mechanisms (e.g., std::thread, std::async, future/promise). Embedded Systems: Experience with operating systems such as QNX (preferred), Linux, or Android, particularly in automotive embedded systems. Diagnostic Module Development: Proven experience developing and deploying Adaptive Diagnostic Modules. Debugging Skills: Hands-on experience with debugging tools such as Lauterbach/Trace32 and GDB. Basic Scripting Knowledge: Familiarity with Python or other scripting languages. Analytical Skills: Strong problem-solving and analytical thinking capabilities to address complex technical challenges. Good to Have: Effort Estimation: Familiarity with effort estimation techniques to improve planning and execution accuracy. Networking Knowledge: Exposure to TCP/IP configuration (ifconfig, route, bridge, VLAN, etc.). Build Systems: Experience with build systems like Make, CMake, or Bazel. Signal-Based Communication: Knowledge of communication protocols such as CAN, LIN, FlexRay, Ethernet, and SOME/IP. Middleware Experience: Familiarity with communication middleware such as REST, DDS, SOME/IP, ARA::COM, MQTT, gRPC. Functional Safety / Cybersecurity: Knowledge of functional safety standards or cybersecurity in automotive systems. Conference Participation: Experience presenting at conferences, participating in seminars, filing patents, or publishing papers. ASPICE Knowledge: Familiarity with ASPICE (Automotive SPICE) processes and standards. Innovative Environment: Be part of a company that is revolutionizing automotive technology and driving digital transformation across the Volkswagen Group. Career Growth: Grow your career by working with world-class experts and contributing to the development of cutting-edge automotive technologies. Impactful Work: Take on exciting and impactful projects that will shape the future of mobility and automotive diagnostics. Collaborative Culture: Join a diverse, skilled team of engineers who thrive on collaboration and innovation. About CARIAD India: CARIAD India offers a dynamic work culture with opportunities to work on some of the most advanced and innovative projects in the automotive sector. As part of the global CARIAD team, you ll be contributing to the digitalization of the automotive industry while advancing your own career in a cutting-edge environment.

Meet the Team As a Technical Lead, you will drive technical excellence across HPC infrastructure, network automation, DevOps practices, and SRE principles while leading architecture decisions and guiding teams in implementing high-performance solutions for AI/ML workloads on various network topologies. This role combines deep technical expertise with leadership responsibilities, focusing on system architecture, automation, reliability engineering, and development excellence. Your Impact Design and implement end-to-end automation solutions for HPC infrastructure (Compute, network, and storage) using Kubernetes operators, Terraform, and Ansible. Analyze compute, storage, and network traffic patterns during distributed training/inference operations across different AI/ML frameworks. Monitor and optimize network utilization patterns for various model architectures. Identify bottlenecks in network communication patterns. Perform root cause analysis across network, compute, and storage layers, with experience handling various failure scenarios and recovery procedures. Make architectural decisions and drive innovation. Develop infrastructure patterns for different workload types. Provide benchmarking and performance engineering leadership. Mentor junior engineers through architecture reviews and code critiques. Design and implement comprehensive telemetry collection systems for monitoring high-speed network microburst behavior. Develop sophisticated visualization tools and analytics frameworks to enable real-time identification of performance bottlenecks and system constraints, facilitating rapid optimization and troubleshooting. Minimum Qualifications Demonstrated expertise in distributed systems and infrastructure design (compute, storage, and networking). Experience with network automation tools and configuration management (Ansible, Python, Golang, YAML, YANG). Strong background in CI/CD, GitOps, or similar practices and tools. Expert-level experience with observability platforms and practices. Strong background in implementing distributed tracing, metrics collection, and log aggregation systems. Demonstrated experience in at least one completed performance benchmarking project for distributed systems, storage, network, and compute. Preferred Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus. Contributions to open-source projects related to distributed systems or performance engineering. Experience in analyzing and documenting system performance metrics across network, compute, and storage layers. Prior experience mentoring and developing technical talent. Understanding of AI/ML infrastructure and any prior experience with RDMA, RoCE v2 will be an added advantage. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Qualification : Bachelors degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus.

Job Title: Senior Technical Lead Software Engineering General Summary: Qualcomm Technologies Inc., a global leader in Snapdragon SoCs, is the largest provider of chipset solutions for Microsoft Windows on Snapdragon products. As part of our commitment to developing next-generation solutions, we seek a highly skilled Senior Technical Lead Software Engineering to drive innovation and excellence in our compute platform solutions. The ideal candidate is a self-motivated leader with excellent verbal and written communication skills and a proven ability to collaborate with engineers, partners, and customers across geographies. This role requires experience working with senior management in a corporate environment and the ability to take a hands-on technical leadership approach, diving into technical details and problem-solving as needed. Key Responsibilities: Software Development & Validation: Lead driver development and validation for compute platforms consisting of ARM cores, GPUs, and DSPs. Perform smoke testing, test scenario development, and issue troubleshooting to ensure product reliability and quality. Provide technical guidance and mentorship to software engineering teams. Collaboration & Stakeholder Engagement: Interface with cross-functional development and test teams, ensuring effective communication and seamless execution. Collaborate with OEMs for feature updates, over-the-air (OTA) updates, and test plan development. Drive large-scale software validation efforts across Windows, Linux, Android, and Integrity platforms. Data Analysis & Performance Optimization: Utilize big data tools and platforms to manage and analyze large datasets for software performance improvement. Optimize and validate multimedia drivers across audio, video, camera, display, and graphics components. Technical Expertise & Innovation: Demonstrate strong familiarity with ARM architecture and a solid understanding of CPU, GPU, and NPU architectures. Develop and optimize software using C, C++, Python, and other programming languages. Leverage tools like Power BI for data-driven decision-making. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field with 18+ years of Software Engineering experience. OR Master s degree with 15+ years of experience. OR PhD with 12+ years of experience. 2+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications: 9-12 years of experience in driver development, validation, and compute platform software engineering. Proven experience in leading large teams responsible for software validation and development. Hands-on experience with multimedia/embedded applications and driver validation on Windows, Linux, Android, or Integrity platforms. Experience managing and analyzing large datasets using big data tools and platforms. Familiarity with ARM architectures, CPU/GPU/NPU architecture. Strong analytical, debugging, and troubleshooting skills for large-scale software systems. Be part of a pioneering team that develops cutting-edge solutions for Windows on Snapdragon. Work in a collaborative and innovation-driven environment with top industry professionals. Enjoy competitive compensation, career growth opportunities, and access to cutting-edge technologies.

Senior Technical Lead FAW, Data Modelling, & OBIEE Location: Remote / Bangalore, India Experience: 7-12 Years About the Role We are seeking a Senior Technical Lead with deep expertise in Fusion Analytics Warehouse (FAW), Data Modelling, and OBIEE to design and implement cutting-edge enterprise analytics solutions. This role requires hands-on experience in FAW customization, OBIEE development, data integration, and ETL/ELT processes. As a key technical leader, you will work closely with internal teams and stakeholders to develop scalable, high-performance analytics solutions, ensuring alignment with business goals. Key Responsibilities FAW & OBIEE Development Lead the design, development, and deployment of enterprise analytics solutions using Fusion Analytics Warehouse (FAW) and OBIEE. Implement and manage FAW solutions, ensuring alignment with business requirements. Customize FAW dashboards and reports to meet specific organizational needs. Data Modelling & Integration Design, develop, and maintain robust data models, including dimensional modelling and star schema design. Provide expertise in ETL/ELT processes and data integration to support seamless data flow. Work with Oracle, SQL Server, and other database management systems to optimize data performance. OBIEE Development & Optimization Develop and maintain OBIEE reports, dashboards, and metadata repository (RPD). Troubleshoot and optimize OBIEE performance, ensuring scalability and reliability. Ensure data security and compliance across FAW, OBIEE, and related analytics platforms. Collaboration & Stakeholder Engagement Provide technical expertise in data integration, reporting, and visualization to internal teams and stakeholders. Effectively communicate complex technical concepts to non-technical stakeholders. Collaborate with cross-functional teams to ensure timely and successful project delivery. Required Qualifications & Skills Education & Experience Graduate degree in Computer Science, Information Technology, or a related field. 7-12 years of experience in enterprise analytics and business intelligence. Technical Expertise Fusion Analytics Warehouse (FAW): Hands-on experience in customization and deployment. Data Modelling: Strong knowledge of dimensional modelling and star schema design. OBIEE: Expertise in RPD development, dashboard/report creation, and performance tuning. ETL/ELT: Strong understanding of data integration processes and tools. SQL & Databases: Proficiency in Oracle, SQL Server, and other database management systems. Cloud Analytics: Familiarity with Oracle Cloud Infrastructure (OCI) and Oracle Analytics Cloud (OAC). Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Lead Cutting-Edge Analytics Initiatives Work with FAW, OBIEE, and cloud-based analytics platforms. Career Growth Opportunities for learning, upskilling, and career advancement. Collaborative Environment Work alongside industry experts in a dynamic, innovative culture. Comprehensive Benefits Competitive salary, remote work flexibility, and a supportive work environment. Join Our Team & Shape the Future of Enterprise Analytics! If you are passionate about data analytics, FAW, and OBIEE, we encourage you to apply! Apply Now! Qualification : Graduate degree in Computer Science, Information Technology, or a related field.

Job Overview: Develop, integrate, enhance and solve Salesforce Sales Cloud and CPQ solutions. Complete technical projects and maintain live services as technical lead of a cross-disciplinary and geographically diverse team. Deep technical expertise, ensuring systems are performant and fit-for-purpose, with a requirement for on-call support as needed. Responsibilities: Core responsibilities include but not limited to: Lead technical design, development and implementation of Salesforce products and services. Modernise and/or improve Salesforce live services through continuous improvement. Design, develop, and maintain solutions within a DevOps environment, including the creation and upkeep of comprehensive documentation. Ensure sustained service performance levels for Salesforce products and services including responding to and resolving incidents. Required Skills and Experience: Strong IT background with consistent track-record in complex Salesforce projects. Hold at least a B.Tech in computer science, information technology, or a related field, at least 6 years of overall experience in similar role within a large, global organisation of which minimum 3 years working with Salesforce Sales Cloud & CPQ. Successful history as technical lead in large-scale projects from inception to completion needed. Ability to work autonomously, commitment to staying abreast of the latest industry developments. Sales Cloud: Lead, opportunity, quote, and product management; Sales Cloud-specific functionalities like Opportunity Teams, Sales Path, and Collaborative Forecasts. Configuration: Salesforce objects, fields, page layouts, record types, and security settings (profiles, permission sets, role hierarchy, sharing rules); Experience in setting up and customising sales processes, stages, and workflows. Automation: Automating sales processes using Flows; build sophisticated automations tailored to sales operations. Custom Development: Proficiency in Apex, Visualforce, Lightning Component Framework and Aura Components; Salesforce DX and version control. Salesforce CPQ: Product-rules, price-rules, discount schedules, quote templates, and approval processes; CPQ bundle configurations, options constraints, and configuration attributes. Complex pricing scenarios tailored to business needs. Nice To Have Skills and Experience: Integration: Integrate external systems using Salesforce APIs (REST, SOAP, Bulk, Metadata); Middleware platforms like MuleSoft. Data Management: Import, export, and migration; quality and governance principles; database concepts and modelling within Salesforce. Reporting and Analytics: reports and dashboards within Salesforce catering to specific needs of CPQ analysis, such as quote accuracy, discount levels, and sales performance. Salesforce Certified Sales Cloud Consultant and/or Certified Administrator; additional certifications like Certified Advanced Administrator or Certified Platform Developer; Certified CPQ Consultant! Experience with Agile practices, including familiarity with Scrum and Kanban frameworks for managing development cycles and delivering incremental improvements! In Return: Arm is an equal opportunity employer, committed to providing an environment of mutual respect, where equal opportunities are available to all applicants and colleagues. Arm prohibits discrimination or harassment of any kind based on race/ethnicity, religion, national origin, age, sex, sexual orientation, gender, gender identity and expression, disability, neuro-diversity, pregnancy, medical condition, marital status, citizenship status, military/veteran status, as well as those characteristics protected by applicable laws, regulations and ordinances. Arm s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. #LI-KR2 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect wher...

Job Overview: As a Software Engineering Technical Leader in Arm IT, you will be responsible for our many of our custom digital applications. Your role is pivotal in driving the strategic roadmap and operational performance of customised solutions, initiatives and services. You are expected to balance technical proficiency, team leadership and a good understanding of full stack software development. This role is based 100% in Bengaluru in India, occasional international travel may be required for company events, special team meetings and / or workshops. Responsibilities: Lead the technical implementation of business requirements whilst keeping the application quality high. Empower team members, foster a positive work atmosphere, and keep the team engaged and committed to team objectives. Nurture professional growth of team members through regular mentoring, coaching, and feedback. Required Skills and Experience: As with anyone leading a technical team, a strong combination of technical knowledge and experience as a line manager is needed. You will have at least a B. Tech in computer science, engineering, or a related field, with at least 8 years of proven experience, 5 years in a leadership role, of which 2 years of line management and running successful technical teams. You should expect to occasionally facilitate incident resolution and service restoration during P1 / P2 incidents, ensuring robust support levels and smooth user experience is always maintained. You have robust DevOps project management and delivery skills, with a verifiable history of delivering software projects. We are looking for someone with a solid technical background with the following technologies: Significant commercial experience with .Net. Single Page Applications (SPAs) using frameworks like React, Next.js or Vue.js including state management. Databases like MongoDB, SQL Server, MySQL, PostgreSQL, Cosmos DB. Continuous Integration & Deployment tools like Jenkins, Azure DevOps and Terraform. Containerization with Docker and orchestration with Kubernetes. Cloud platforms such as Azure and AWS and their recommended practices. Nice To Have Skills and Experience: Professional experience with an Enterprise level CMS! Have worked with integrating SaaS products into a customer-facing digital experience Risk Management: Identify potential project, delivery and operational risks early, evaluate their impact, and implement strategies to mitigate them! In Return : Arm s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. #LI-KR2 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Overview Senior Engineer - Product and Platform Engineering in the Genealogy domain with 6-10 years of experience. Develop and maintain robust, scalable solutions using React.js and Node.js. Lead UI design and implementation for seamless user experiences. Utilize AWS services and implement containerization for efficient deployment. Establish CI/CD pipelines for automation. Maintain high code quality standards and collaborate with teams for innovation. Mentor junior members and oversee project timelines. Stay updated on industry trends. Bachelor of Technology or Master of Technology in Computer Science Engineering required. AWS Certified Solutions Architect and Certified Kubernetes Administrator (CKA) certifications are beneficial. Roles & Responsibilities Develop and maintain robust, scalable product and platform solutions using React.js and Node.js technologies. Lead the design and implementation of UI components and features for seamless user experiences. Utilize AWS services for application development and optimization. Implement containerization for efficient deployment and management of applications. Establish and maintain CI/CD pipelines to automate testing and deployment processes. Ensure adherence to clean code practices and maintain high code quality standards. Collaborate with cross-functional teams to drive innovation and deliver high-quality solutions. Mentor junior team members and provide technical guidance. Oversee project timelines and deliverables to ensure successful completion. Stay updated on industry trends and technologies to drive continuous improvement in product and platform engineering practices. Our ideal candidate Extensive experience in React.js and Node.js, showcasing proficiency in building innovative user interfaces (UI) and implementing scalable, performant backend solutions. Demonstrated advanced skills in both React.js and Node.js for seamless integrations and efficient deployments. Proven track record of utilizing React.js and Node.js in large-scale projects for optimizing performance and ensuring robust architecture. Familiarity with containerization technologies for streamlining deployment processes and maintaining consistency across environments. Expertise in AWS services for designing and implementing scalable, cloud-native solutions aligning with industry best practices. Prioritizing skills in React, Node.js, AWS, Continuous Integration/Continuous Deployment (CI/CD), and Containerization for success in this role. Bachelor of Technology (B.Tech) in Computer Science Engineering or a Master of Technology (M.Tech) in Software Engineering required for educational prerequisites. Possession of certifications such as AWS Certified Solutions Architect and Certified Kubernetes Administrator (CKA) would be beneficial. Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) in Computer Science Engineering or a Master of Technology (M.Tech) in Software Engineering required for educational prerequisites.