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engineering manager konnect core platform

Kong

<div>
 
 Are you ready to power the World's connections?
 
 
 
 If you don&rsquo;t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we&rsquo;re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
 
 
 
 About The Role
 
 
 
 The Engineering Manager for the AI Platform team will lead a team of AI/ML engineers, applied scientists, and platform engineers building Kong's next-generation AI capabilities. You'll be responsible for building and scaling a high-performing team, driving technical execution, and collaborating with product and leadership to define the roadmap for AI features across Kong's platform. This role requires a strong technical background in either AI/ML or platform engineering, proven people management experience, and the ability to navigate the rapidly evolving AI landscape while delivering production-ready systems at scale.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead, mentor, and grow a team of 6-10 engineers, including AI/ML engineers, applied scientists, and platform engineers.
 </li>
 <li>
 Build a strong engineering culture focused on innovation, quality, collaboration, and continuous learning in the AI domain.
 </li>
 <li>
 Drive technical execution across multiple parallel initiatives, ensuring timely delivery of high-quality AI features.
 </li>
 <li>
 Partner with product managers to define roadmaps, prioritize work, and align team efforts with business objectives.
 </li>
 <li>
 Conduct regular 1:1s, provide coaching and feedback, and support career development for all team members.
 </li>
 <li>
 Lead hiring efforts to scale the team, including defining role requirements, conducting interviews, and making hiring decisions.
 </li>
 <li>
 Collaborate with cross-functional teams, including Gateway, Dev Portal, and other product teams, to integrate AI capabilities.
 </li>
 <li>
 Establish engineering best practices for AI/ML development, including evaluation frameworks, safety guardrails, and responsible AI principles.
 </li>
 <li>
 Drive technical strategy and architectural decisions for AI platform services and infrastructure.
 </li>
 <li>
 Manage team performance through goal setting, performance reviews, and fostering accountability.
 </li>
 <li>
 Balance innovation and experimentation with pragmatic delivery of production systems.
 </li>
 <li>
 Communicate technical progress, challenges, and strategic recommendations to senior leadership.
 </li>
 <li>
 Own incident response and operational excellence for AI platform services.
 </li>
 <li>
 Advocate for the team's needs in terms of resources, tooling, and organizational support.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 3+ years of engineering management experience leading teams of 5+ engineers.
 </li>
 <li>
 8+ years of total software engineering experience with a strong technical background in one or more of AI/ML engineering, distributed systems, or platform engineering.
 </li>
 <li>
 Demonstrated success building and scaling high-performing engineering teams.
 </li>
 <li>
 Experience managing teams working on AI/ML systems, large language models, or ML infrastructure (strongly preferred).
 </li>
 <li>
 Strong technical credibility with the ability to engage in architecture discussions, code reviews, and technical decision-making.
 </li>
 <li>
 Experience hiring, onboarding, and developing engineers at different seniority levels.
 </li>
 <li>
 Proven ability to drive execution on complex, ambiguous projects with multiple stakeholders.
 </li>
 <li>
 Strong communication skills with the ability to influence across technical and non-technical audiences.
 </li>
 <li>
 Experience working in fast-paced environments and balancing competing priorities.
 </li>
 <li>
 Understanding of modern AI/ML technologies, including LLMs, vector databases, and ML infrastructure.
 </li>
 <li>
 Knowledge of cloud platforms (AWS preferred) and container orchestration (Kubernetes).
 </li>
 <li>
 Experience with agile development methodologies and iterative delivery practices.
 </li>
 <li>
 Track record of fostering inclusive and collaborative team environments.
 </li>
 <li>
 Ability to provide technical guidance while empowering teams to make decisions.
 </li>
 <li>
 Experience managing globally distributed teams across multiple time zones.
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience managing teams building production AI/ML applications or ML platforms.
 </li>
 <li>
 Background as an AI/ML engineer, data scientist, or ML platform engineer.
 </li>
 <li>
 Experience with AWS AI/ML services (Bedrock, SageMaker) or similar platforms.
 </li>
 <li>
 Knowledge of LLM application development, prompt engineering, or agentic workflows.
 </li>
 <li>
 Experience in API Gateway, developer tools, or platform engineering domains.
 </li>
 <li>
 Understanding of responsible AI practices, AI safety, and alignment principles.
 </li>
 <li>
 Experience managing teams through 0-to-1 product development.
 </li>
 <li>
 Track record of technical writing, conference speaking, or thought leadership in AI/ML.
 </li>
 <li>
 Experience with performance management and difficult conversations.
 </li>
 <li>
 Background in building MLOps infrastructure or ML engineering platforms.
 </li>
 <li>
 Familiarity with Kong's products or the API management ecosystem.
 </li>
 <li>
 Experience managing teams supporting high-availability SaaS or PaaS offerings.
 </li>
 <li>
 Knowledge of compliance frameworks and building audit-ready AI systems.
 </li>
 <li>
 Experience collaborating with research teams or applied scientists.
 </li>
 <li>
 Active involvement in AI/ML communities or open-source contributions.
 
 
 </li>
 </ul>
 
 About Kong
 
 
 
 Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com.
 
 
</div>

Engineering Manager, Konnect Core Platform

Cisco

<div>
 Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 
 
 
 Meet The Team
 
 
 
 Cisco Spaces is the intelligence layer that turns buildings into dynamic, data-driven environments. By connecting to Cisco&rsquo;s global network of access points, sensors and cameras, Spaces delivers real-time insights and automation that help organizations run safer, smarter and more sustainable workplaces.
 
 
 Today, Spaces is one of Cisco&rsquo;s fastest-growing platforms with more than twelve billion square feet of real estate digitized worldwide. As Cisco moves deeper into a software-first future, Spaces sits at the center of cloud, IoT, maps, analytics and AI.
 
 
 The platform brings together everything needed for a modern hybrid workplace. It provides live occupancy and utilization insights, indoor maps, bookings, visitor flows, environmental and air-quality data, people and asset visibility, and automated workflows that make operations more efficient. Customers manage entire portfolios of buildings, connect third-party solutions through our partner ecosystem, and use our APIs to build new use cases on top of the platform.
 
 
 Spaces is where large-scale cloud engineering, real-time data, AI and enterprise UX meet. We are a team that ships fast, innovates continuously and builds technology that genuinely changes how buildings function.
 
 
 Visit our website to learn more or watch this fun video (laughs guaranteed 😂)
 
 
 
 Your Impact
 
 
 
 As a Backend Software Engineer on the Cisco Spaces team, you will shape the core systems that power one of Cisco&rsquo;s fastest-growing platforms. You will build the high-scale services that process billions of events, enable real-time building intelligence, and deliver reliable services to customers across the world.
 
 
 <ul>
 <li>
 Design, implement, and deploy backend services that handle massive scale, high concurrency, and global reliability requirements.
 </li>
 <li>
 Build end-to-end systems in Java that prioritize performance, stability, and clean architecture.
 </li>
 <li>
 Develop APIs and microservices that power real-time occupancy, mapping, automation, IoT integrations, and analytics across thousands of enterprise sites.
 </li>
 <li>
 Work closely with frontend, product and platform teams to ensure seamless delivery of features that span cloud, IoT, mapping and AI layers.
 </li>
 <li>
 Optimize data pipelines, storage models, and streaming systems to support live telemetry from millions of connected devices.
 </li>
 <li>
 Introduce new technologies, frameworks, and design patterns that raise the engineering bar across the team.
 </li>
 <li>
 Contribute to platform-wide initiatives such as improving scalability, strengthening security, enhancing observability, and refining deployment and CI/CD practices.
 </li>
 <li>
 Learn and apply emerging AI and automation techniques where they materially improve system intelligence, accuracy, or developer efficiency.
 </li>
 <li>
 Own features from concept to rollout and ensure they meet the quality, reliability, and performance expected from Cisco-grade systems
 
 
 </li>
 </ul>
 
 Minimum Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Engineering or Computer Science.
 </li>
 <li>
 A minimum of two years of hands-on experience building backend systems, web applications, and integrations in production environments.
 </li>
 <li>
 Strong server-side development expertise in Java, with experience in J2EE, Vert.x, or Kotlin-based services.
 </li>
 <li>
 Deep understanding of core Java fundamentals including threading, concurrency, synchronization, collections, generics, annotations, and JVM internals.
 </li>
 <li>
 Familiarity with inter-thread communication patterns, serialization mechanisms, and performance tuning of high-throughput services.
 </li>
 <li>
 Strong grasp of object-oriented programming, data structures, algorithms, and common design patterns.
 </li>
 <li>
 Practical experience building scalable REST APIs, backend services, and microservice architectures.
 </li>
 <li>
 Working knowledge of NoSQL databases and distributed data models.
 </li>
 <li>
 Hands-on experience with Kafka or similar streaming platforms, including message modeling, high-volume consumers, producers, and streaming pipelines.
 </li>
 <li>
 Exposure to building and operating services in large-scale cloud environments such as AWS, and comfort working with cloud-native services.
 </li>
 <li>
 Proficiency with Maven or Gradle, Git, Jenkins, CI/CD pipelines, and related engineering tooling.
 </li>
 <li>
 Familiarity with distributed systems concepts including service discovery, fault tolerance, and event-driven architectures.
 </li>
 <li>
 Ability to work in fast-paced agile teams and drive technical decisions in complex development environments.
 </li>
 <li>
 Comfort using modern AI development tools and assistants to enhance productivity, improve code quality, and accelerate delivery.
 </li>
 <li>
 Ability to rapidly learn new frameworks, libraries, and technologies as required.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience designing and operating microservices at scale using Java, Vert.x, or Kotlin in high-throughput, low-latency environments.
 </li>
 <li>
 Hands-on experience running workloads on AWS, including EKS, EC2, S3, CloudWatch, IAM, Lambda or similar managed services.
 </li>
 <li>
 Strong familiarity with modern container and orchestration technologies such as Docker, Kubernetes, Helm, and service mesh patterns.
 </li>
 <li>
 Practical experience building streaming or event-driven architectures using Kafka, including partitions, consumer groups, offset handling, back-pressure strategies, and exactly-once semantics.
 </li>
 <li>
 Comfort troubleshooting distributed systems: debugging timeouts, thread starvation, queue backlogs, serialization bottlenecks, and GC/JVM performance issues.
 </li>
 <li>
 Experience with CI/CD, automated testing pipelines, canary deployments, observability stacks (Prometheus, Grafana, ELK), and production monitoring best practices.
 </li>
 <li>
 Ability to analyze complex systems, decompose problems, reason about edge cases, and make thoughtful tradeoffs between performance, reliability, and simplicity.
 </li>
 <li>
 Familiarity with AI-assisted developer tools for rapid prototyping, code generation, unit test creation, architecture exploration, and productivity amplification.
 </li>
 <li>
 Experience driving process improvements, standardizing patterns, automating repetitive workflows, and influencing engineering best practices across teams.
 </li>
 <li>
 Strong analytical mindset with the ability to interpret metrics, logs, and behavioral trends to improve system performance and operational efficiency.
 </li>
 <li>
 Exposure to building secure, compliant, and resilient cloud-native systems with proper handling of authentication, authorization, encryption, and data privacy requirements.
 </li>
 <li>
 Ability to thrive in a fast-paced environment, handle ambiguity, and contribute effectively in cross-functional teams involving backend, frontend, product, and platform engineering.
 </li>
 <li>
 Passion for continuous learning and staying updated with new frameworks, cloud capabilities, architectural approaches, and emerging technologies.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Backend Software Development Engineer

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 This role will be based in Bangalore, India.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
 
 
 The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn. The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. Observability Platforms maintains the platforms and products for metrics ingestion, storage, retrieval, visualization, alerting, incident creation &amp; escalation, remediation, health-checking and experience platform. We are one of the very few companies globally with a custom-built platform to support billions of metrics ingested at millions of QPS.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Manage the performance and career development of a team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding.
 </li>
 <li>
 Participate with senior management in developing a long-term technology roadmap.
 </li>
 <li>
 Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
 </li>
 <li>
 Work with peers across teams to support and leverage a shared technical stack.
 </li>
 <li>
 Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality.
 </li>
 <li>
 Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
 </li>
 <li>
 Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BS in Computer Science or related field with 8+ years of relevant engineering work experience
 </li>
 <li>
 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training.
 </li>
 <li>
 Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 2+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries.
 </li>
 <li>
 Shipped several large-scale projects with dependencies across multiple teams.
 </li>
 <li>
 Built and delivered on successful cross-functional partnerships across multiple teams.
 </li>
 <li>
 Been actively involved in creation and execution of technical strategy and roadmap.
 </li>
 <li>
 Actively coached, mentored and grew team members in their careers.
 </li>
 <li>
 Track record in partnering with recruiting to hire and build incredible engineering teams.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Technical Leadership
 </li>
 <li>
 People Management
 </li>
 <li>
 Stakeholder Management
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Software Engineering Manager, Systems Infrastructure

MediBuddy

<div>
 
 About the role:
 
 
 
 We're looking for a hands-on SEO Lead to drive organic growth across all our business verticals&mdash;medicines, lab diagnostics, in-clinic and online consultations, and corporate wellness. This isn't a strategy-only role; you'll be deep in the weeds, executing fast, and owning outcomes end-to-end. You'll also help us stay ahead of the curve as search evolves&mdash;optimising for AI-powered search experiences alongside traditional search engines. You'll have a direct impact on a platform that serves millions of users. You'll work with a team that values speed, ownership, and outcomes over process and hierarchy. And you'll help shape how India accesses healthcare.
 
 
 
 What you'll do:
 
 
 
 <ul>
 <li>
 Own SEO performance across all MediBuddy business lines, driving measurable improvements in traffic, rankings, and conversions
 </li>
 <li>
 Execute technical SEO audits and fixes&mdash;site speed, crawlability, indexation, schema markup, Core Web Vitals
 </li>
 <li>
 Build and scale content strategies for high-intent healthcare queries across our service categories
 </li>
 <li>
 Partner closely with product and engineering to ship SEO improvements rapidly
 </li>
 <li>
 Drive local SEO for our in-clinic consultation network across cities
 </li>
 <li>
 Monitor performance daily, identify drops or opportunities, and act on them immediately
 </li>
 <li>
 Build scalable processes for keyword research, content briefs, and performance tracking
 </li>
 <li>
 Lead our GEO (Generative Engine Optimisation) efforts&mdash;ensure MediBuddy content is structured, authoritative, and optimised for visibility in AI-driven search experiences like ChatGPT, Perplexity, Google AI Overviews, and similar platforms
 
 
 
 </li>
 </ul>
 
 What We're Looking For:
 
 
 
 <ul>
 <li>
 3+ years of hands-on SEO experience, preferably in healthcare, e-commerce, or high-growth consumer platforms
 </li>
 <li>
 Deep expertise in technical SEO&mdash;you've fixed crawl issues, improved page speed, and worked with dev teams to ship changes
 </li>
 <li>
 Strong grasp of content SEO and programmatic page strategies at scale
 </li>
 <li>
 Comfort with data&mdash;you pull your own reports, analyse trends, and make decisions quickly
 </li>
 <li>
 Awareness of how AI/LLM-based search is evolving and curiosity to experiment with GEO strategies
 
 
 
 </li>
 </ul>
 
 The kind of Person who thrives here:
 
 
 
 <ul>
 <li>
 High ownership: You don't wait for permission. You see a problem, you fix it.
 </li>
 <li>
 Execution-first: You'd rather ship something imperfect today than perfect next month.
 </li>
 <li>
 Excellence-driven: "Good enough" doesn't satisfy you. You push for better.
 </li>
 <li>
 Speed as a value: You understand that in a fast-moving company, velocity matters.
 </li>
 <li>
 Low ego, high curiosity: You ask questions, learn fast, and adapt.
 </li>
 </ul>
</div>

SEO Lead

Lowe's Companies, Inc.

<div>
 
 
 
 About Lowe's
 
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
 
 
 
 
 
 
 
 About Lowe's India
 
 
 
 
 Lowe&rsquo;s India, the Global Capability Center of Lowe&rsquo;s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe&rsquo;s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India_lowes.co.in
 
 
 
 
 
 
 
 About the Team
 
 
 
 
 The Enterprise SEO Team ensures that Lowe&rsquo;s digital experiences are optimized for discoverability, relevance, and performance across all search channels. The team delivers consistent, data-driven optimization of site content, metadata, and technical elements while conducting ongoing competitive analysis.
 
 
 Partnering closely with Business, Product, Content, Site Operations, and Technology teams, SEO ensures that digital assets remain accurate, search-friendly, and aligned with customer intent, ultimately strengthening visibility and organic growth across Lowes.com.
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 The Senior Manager, SEO is responsible for building the enterprise-wide foundation for how we do SEO, AEO and GEO. This role will focus on
 
 SEO excellence
 
 and will not be required to manage day-to-day SEO operations and execution, The Sr. Manager will define the standards, governance frameworks, SOPs, measurement models, and experimentation programs that enable cross-functional teams across the organization to build SEO best practices into their organizational processes and execute high-quality, consistent and scalable SEO.
 
 
 
 
 
 He/She will establish and lead the SEO/AEO/GEO center of excellence, creating governance frameworks for all aspects of SEO, playbooks for ensuing upstream hygiene, and lead SEO education and evangelism across Product, Technology, Marketing, Content, UX, and Operations. In parallel, this leader will build a robust analytics and experimentation program that elevates how we measure organic performance, run SEO experiments, and convert insights into action.
 
 
 
 
 
 He/She will partner closely with the SEO Operations Lead, Product and Tech teams (including data, experimentation, and AI/ML partners) to ensure that SEO is embedded into roadmaps, platforms, and decision-making across the digital ecosystem.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 
 Core Responsibilities:
 
 
 
 <ul>
 <li>
 Define and maintain enterprise-wide SEO, AEO and GEO governance frameworks, including guiding principles, standards, and decision-rights (RACI) across technical, content, and off-page SEO.
 </li>
 <li>
 Create and own SEO playbooks by function (e.g., Product, Content, UX, Engineering, Merchandising) to codify best practices, do/don&rsquo;t guidelines, and checklists for execution teams.
 </li>
 <li>
 Establish and lead a Center of Enablement (CoE) for SEO, including office hours, consults, documentation, templates, and self-service tools that help teams execute consistently at scale.
 </li>
 <li>
 Develop frameworks and standards for Answer Engine Optimization (AEO) and Generative/AI-driven experiences (GEO), including structured data, entity optimization, and AI-overview visibility.
 </li>
 <li>
 Partner with the SEO operations lead to ensure governance is practical, adoptable, and embedded into workflows, product requirements, content briefs, and QA processes.
 </li>
 <li>
 Collaborate with Product &amp; Engineering to embed SEO requirements and quality gates into platform roadmaps, release processes, and tooling (e.g., CMS, design systems, experimentation platforms).
 </li>
 <li>
 Monitor compliance with SEO governance through periodic audits and dashboards, and drive corrective actions in partnership with stakeholders.
 </li>
 <li>
 Build and lead the SEO experimentation program, including test strategy, governance, and operating model (from hypothesis generation to execution and readouts).
 </li>
 <li>
 Define experimentation standards and best practices for SEO tests (e.g., holdouts, page-level versus template-level experiments, guardrails, minimum detectable effects).
 </li>
 <li>
 Maintain a prioritized experiment backlog in partnership with SEO operations, Product, Tech, and Content teams, aligned with business goals and growth opportunities.
 </li>
 <li>
 Partner with Analytics/Data Science and Experimentation teams to ensure SEO experiments are statistically sound, properly instrumented, and correctly interpreted.
 </li>
 <li>
 Create clear storytelling around experiment outcomes (wins, neutral, and losses) and feed learnings into playbooks, governance updates, and future roadmap decisions.
 </li>
 <li>
 Act as a strategic thought partner to SEO leadership and Digital leadership on the long-term vision for SEO, AEO, and GEO.
 </li>
 <li>
 Influence senior stakeholders across Product, Tech, Marketing, Merchandising, and Operations to adopt SEO best practices and invest in SEO-enabling capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Years of Experience:
 
 
 
 
 
 
 <ul>
 <li>
 8+ years of experience in SEO / Organic Growth in a digital, e-commerce, or product-led environment.
 </li>
 <li>
 3+ years of experience in a senior/lead role focused on enterprise SEO strategy, governance, or analytics/experimentation.
 </li>
 <li>
 Prior experience working in complex, matrixed organizations with multiple stakeholder groups (e.g., Product, Tech, Marketing, Content, UX).
 </li>
 <li>
 Work experience in a large multinational E-commerce organization will be preferred, though not mandatory.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Education Qualification &amp; Certifications (optional)
 
 
 
 
 
 
 Required Minimum Qualifications
 
 
 
 :
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Digital Marketing, Business Analytics, Computer Science,
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 MBA or equivalent advanced degree.
 </li>
 <li>
 Certifications in Web Analytics, Experimentation (e.g., A/B testing), or Data/Business Analytics.
 </li>
 <li>
 SEO-related certifications (e.g., analytics, tag management, or recognized SEO/analytics platforms).
 </li>
 </ul>
 
 
 
 
 
 
 Skill Set Required
 
 
 
 <ul>
 <li>
 Deep expertise across key pillars of SEO (technical, content, on-page, information architecture, and internal linking), with strong familiarity with AEO and emerging GEO/AI search experiences.
 </li>
 <li>
 Proven experience designing and implementing SEO governance frameworks, standards, and playbooks at enterprise scale.
 </li>
 <li>
 Strong background in SEO analytics and reporting, including hands-on experience with web analytics (e.g., GA4 / Adobe), SEO tools (e.g., Search Console, enterprise SEO platforms), and data visualization tools.
 </li>
 <li>
 Demonstrated experience running SEO experimentation and A/B tests, including test design, interpretation, and rollout of learnings.
 </li>
 <li>
 Strong analytical and problem-solving skills; ability to translate data into clear narratives and practical recommendations.
 </li>
 <li>
 Demonstrated ability to define and track metrics and goals in ambiguous environments with multiple stakeholders.
 </li>
 <li>
 Excellent communication skills (verbal, written, and presentation) with the ability to simplify complex SEO concepts for non-technical audiences and senior leadership.
 </li>
 <li>
 Proven ability to collaborate effectively across functions and influence without direct authority.
 </li>
 <li>
 Highly proficient with MS Office Suite (Word, Excel, PowerPoint, and Outlook)
 </li>
 <li>
 Passion for leveraging scaleable technologies such as machine learning and Generative AI.
 </li>
 <li>
 Prior experience in e-commerce or high-scale digital products.
 </li>
 </ul>
 
 
 
 
 
 
 Secondary Skills (desired)
 
 
 
 <ul>
 <li>
 Experience with SQL or data querying and comfort working with large datasets.
 </li>
 <li>
 Familiarity with experimentation platforms and methodologies.
 </li>
 <li>
 Exposure to AI/ML-driven search or content experiences, including schema/structured data, knowledge graphs, and generative AI integration.
 </li>
 <li>
 Passion for building repeatable, scalable systems, and for enabling others through education, tools, and documentation.
 </li>
 </ul>
 
 
 
 
 
 Lowe&rsquo;s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under state or local law. Lowe&rsquo;s wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Act&rsquo;s privacy provisions.
 
 
 
 
</div>

Senior Manager - SEO

BT Group

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 BT Group was the world&rsquo;s first telco and our heritage in the sector is unrivalled. As home to several of the UK&rsquo;s most recognised and cherished brands &ndash; BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business. Over the next two years, we will complete the UK&rsquo;s largest and most successful digital infrastructure project &ndash; connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other. While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK&rsquo;s best telco, reimagining the customer experience and relationship with one of this country&rsquo;s biggest infrastructure companies. Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a Software Engineer on the Billing &amp; Collections platforms, you contribute directly to the systems that keep the company financially healthy. Your work helps ensure customers receive accurate bills, can make seamless payments, and experience smooth interactions throughout their billing journey. By building reliable, scalable, and high‑quality software, you help maintain consistent cashflow, reduce revenue leakage, and support strong customer trust. This role gives you the opportunity to make a measurable impact on mission‑critical business operations while growing your engineering skills in a complex, high‑visibility domain.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Technical Solution Delivery: Supports the implementation of technical solutions for internal and external customers across telecom billing and collections flows, resolving inter system issues and contributing within cross functional squads.
 </li>
 <li>
 Architecture &amp; Technology Choices: Contributes to technical decisions, technology selection, and architecture direction for high performance billing and collections platforms, balancing immediate product needs with long term transformation.
 </li>
 <li>
 Software Design &amp; Development: Supports the design and development of software components aligned with enterprise architecture and BT&rsquo;s security standards.
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 Continuous Learning &amp; Technical Reviews: Undertakes code and design reviews to enhance proficiency and ensure alignment with software engineering principles and industry standards.
 </li>
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 Technical Specifications &amp; Low Complexity Builds: Helps design technical specifications and develops software solutions for smaller or less complex initiatives, ensuring high quality delivery.
 </li>
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 Coding &amp; Testing: Writes, tests, debugs, and reviews code under supervision, ensuring clarity and quality across engineering teams.
 </li>
 <li>
 Systems Integration: Integrates existing software products and resolves routine issues to ensure interoperability across diverse platforms.
 </li>
 <li>
 Defect Management: Monitors, troubleshoots, and corrects software defects to ensure platform reliability and service stability.
 </li>
 <li>
 Tooling &amp; Automation: Supports the implementation, optimization, and maintenance of CI/CD pipelines and automation tooling that improve developer efficiency and accelerate delivery.
 </li>
 <li>
 Technical Roadmap Contribution: Supports delivery of a forward-looking technical roadmap that meets needs of engineering teams, operations, and business stakeholders.
 </li>
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 Engineering &amp; Operational Excellence: Assists in defining and implementing metrics, processes, and continuous improvement initiatives to drive engineering maturity.
 </li>
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 Process Improvement: Contributes to refining and optimizing engineering ways of working within the software engineering domain.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 PLSQL, Java &amp; Related Technologies
 </li>
 <li>
 Strong PL SQL development background
 </li>
 <li>
 Strong Java/J2EE, Spring MVC development background
 </li>
 <li>
 Experience with REST APIs, multi-threaded processing, concurrency
 </li>
 <li>
 Scripting (Shell/Python/Perl) for automation, tooling, and monitoring
 </li>
 <li>
 WebLogic Application Server
 </li>
 <li>
 Deployment and tuning of Java applications
 </li>
 <li>
 JVM performance optimization
 </li>
 <li>
 Cluster management, JDBC tuning, thread pool configuration
 </li>
 <li>
 Troubleshooting memory leaks, stuck threads, connection issues
 </li>
 <li>
 Netcracker Revenue Manager (NCRM / NC-RM) &ndash; Rating &amp; Charging or Equivalent
 </li>
 <li>
 Hands-on experience with the Netcracker Revenue Manager or equivalent rating ecosystem, including:
 </li>
 <li>
 </li>
 <li>
 Understanding of Netcracker Rating Engine or equivalent, billing, rating, charging calculation flows
 </li>
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 Configuration of price plans, rating rules, usage types, event models
 </li>
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 Working with product catalog, tariff models, charging rules, and discounts
 </li>
 <li>
 </li>
 <li>
 CI/CD, Automation &amp; Observability
 </li>
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 Building CI/CD pipelines (Jenkins, Git, Maven, Nexus etc.)
 </li>
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 Automated deployment of webapps and Java services
 </li>
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 Writing monitoring scripts (Shell/Python) for throughput, lag, error rates
 </li>
 <li>
 Working with observability platforms (Grafana, Prometheus, ELK, OEM, Dynatrace)
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Demonstrates deep technical expertise in PLSQL, Spring MVC, Java J2EE, Shell scripting acting as authority within the team.
 </li>
 <li>
 Influences technical decisions by contributing strong engineering judgement to designs, solution options, and architecture discussions.
 </li>
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 Takes ownership of complex components, ensuring scalable, reliable, and accurate collections and billing flows.
 </li>
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 Leads by technical example, maintaining high standards in coding, testing, documentation, and engineering practices.
 </li>
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 Resolves complex issues and drives RCA, using deep problem solving skills to troubleshoot collections failures, PLSQL / database contentions, and performance bottlenecks.
 </li>
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 Identifies and drives continuous improvement, proposing enhancements in automation, tooling, observability, throughput, and reliability.
 </li>
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 Collaborates effectively across teams, providing clarity and technical insight to architecture, operations, billing, assurance, and fraud teams without formal leadership duties.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 5&ndash;8 years of hands on software engineering experience in Billing, Collections, or Revenue
 </li>
 </ul>
 
 
</div>

Software Engineer - PLSQL

General Aeronautics Pvt Ltd

<div>
 
 
 Role Overview
 
 
 
 General Aeronautics is a high-performance Agri-Drone company with 400+ drones deployed across India. As GA sharpens its focus on reliability, uptime, and disciplined growth, service excellence becomes a core competitive differentiator.We are looking for a Senior Project Manager &ndash; Service &amp; Customer Relationship who will own and scale GA&rsquo;s post-sales service operations across Pan-India.This role is not a coordination role. This is an execution and performance ownership role &mdash; responsible for uptime, turnaround time, spare management, SLA discipline, and continuous improvement of deployed fleet performance.You will operate at the intersection of Service, Product, Engineering, and Manufacturing &mdash; ensuring customer satisfaction translates into operational excellence and margin protection.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 Fleet Reliability &amp; Uptime Ownership
 
 <ul>
 <li>
 Own national fleet uptime metrics across all deployed drones.
 </li>
 <li>
 Monitor Mean Time to Repair (MTTR), incident recurrence rate, and SLA compliance.
 </li>
 <li>
 Identify systemic issues from service logs and escalate root causes to Engineering &amp; Product.
 </li>
 <li>
 Drive corrective and preventive action mechanisms (CAPA).
 </li>
 </ul>
 
 Service Operations Leadership (Pan-India)
 
 <ul>
 <li>
 Lead and manage
 
 CRM
 
 teams, regional Service Engineers, and support staff across India.
 </li>
 <li>
 Conduct daily and weekly operational reviews.
 </li>
 <li>
 Ensure ticket resolution within defined SLAs.
 </li>
 <li>
 Standardize service processes across regions.
 </li>
 </ul>
 
 Service Process Optimization &amp; SOP Discipline
 
 <ul>
 <li>
 Design, refine, and enforce SOPs for issue resolution, warranty handling, insurance claims, and field diagnostics.
 </li>
 <li>
 Ensure Engineering Change Management (ECM) updates are tracked and implemented across fleet.
 </li>
 <li>
 Build structured service playbooks and escalation matrices.
 </li>
 </ul>
 
 Inventory &amp; Spare Parts Governance
 
 <ul>
 <li>
 Oversee spare part planning, allocation, and utilization across hubs and service centers.
 </li>
 <li>
 Optimize inventory turns while ensuring minimal downtime.
 </li>
 <li>
 Build predictive spare forecasting models based on failure patterns.
 </li>
 <li>
 Reduce working capital lock-in via structured spare governance.
 </li>
 </ul>
 
 Data, Dashboards &amp;
 
 AI
 
 -Driven Monitoring
 
 <ul>
 <li>
 Use centralized dashboards tracking ticket trends, failure clustering, MTTR, and region-wise performance.
 </li>
 <li>
 Use telemetry and log data for predictive maintenance.
 </li>
 <li>
 Use
 
 AI
 
 -based issue clustering and trend detection.
 </li>
 <li>
 Present structured monthly reliability reports to leadership.
 </li>
 </ul>
 
 Cross-Functional Coordination
 
 <ul>
 <li>
 Collaborate with Product, Engineering, Manufacturing, and BU Heads to resolve recurring issues.
 </li>
 <li>
 Drive closed-loop feedback system from field to engineering.
 </li>
 </ul>
 
 Customer Experience &amp; Retention Support
 
 <ul>
 <li>
 Ensure high customer satisfaction and service responsiveness.
 </li>
 <li>
 Monitor complaint frequency and escalation rate.
 </li>
 <li>
 Support customer onboarding and service readiness programs.
 </li>
 <li>
 Contribute to retention and repeat order growth through service excellence.
 </li>
 </ul>
 
 
 
 
 
 Key KPIs
 
 
 <ul>
 <li>
 Fleet Uptime %
 </li>
 <li>
 MTTR (Mean Time to Repair)
 </li>
 <li>
 
 SLA
 
 Compliance %
 </li>
 <li>
 Repeat Issue Rate
 </li>
 <li>
 Spare Inventory Turnover
 </li>
 <li>
 Ticket Resolution Time
 </li>
 <li>
 Customer Satisfaction Score (NPS / Complaint Rate)
 </li>
 <li>
 ECM Compliance %
 </li>
 <li>
 Warranty Claim Cycle Time
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering / Technology (Mechanical, Electronics, Aerospace preferred); MBA is a plus.
 </li>
 <li>
 5+ years of experience in Service Operations, Customer Relationship Management, Technical Field Support, Hardware Project Management, or Drone/Robotics/IoT domains.
 </li>
 <li>
 Experience managing Pan-India distributed service teams.
 </li>
 <li>
 Strong understanding of
 
 SLA
 
 frameworks, ticketing &amp;
 
 CRM
 
 systems, spare inventory management, and hardware lifecycle management.
 </li>
 <li>
 Strong analytical and operational execution skills.
 </li>
 <li>
 Proven ability to drive cross-functional resolution.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Exposure to drone technology and UAV operations.
 </li>
 <li>
 Experience with aviation compliance or ECM processes.
 </li>
 <li>
 Familiarity with telemetry analytics and log-based debugging.
 </li>
 <li>
 Experience implementing service dashboards or BI tools.
 </li>
 <li>
 Comfort using
 
 AI
 
 tools to automate reporting and operational analysis.
 </li>
 </ul>
 
 
 
 
 
 Key Attributes
 
 
 <ul>
 <li>
 High ownership mindset &ndash; treats uptime as personal KPI.
 </li>
 <li>
 Process-driven and disciplined.
 </li>
 <li>
 Strong bias toward execution.
 </li>
 <li>
 Field-oriented and hands-on.
 </li>
 <li>
 Data-driven decision maker.
 </li>
 <li>
 Calm under operational pressure.
 </li>
 <li>
 Comfortable working in high-growth startup environment.
 </li>
 </ul>
 
 
 
 
 
 What Success Looks Like
 
 
 <ul>
 <li>
 Fleet uptime consistently above target.
 </li>
 <li>
 Reduced service turnaround time quarter-on-quarter.
 </li>
 <li>
 Lower recurrence of technical failures.
 </li>
 <li>
 Structured service dashboards with actionable insights.
 </li>
 <li>
 Improved spare efficiency and reduced working capital strain.
 </li>
 <li>
 Strong alignment between service and engineering.
 </li>
 <li>
 Service excellence becoming a competitive advantage for GA.
 </li>
 </ul>
 
 
</div>

Project Manager – Service & Customer Relationship

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