Wifi Dabba provides internet infrastructure for homes & offices. We build & deploy networks that are faster and more affordable. Our full-stack approach combines hardware, software, and operations so that anyone can easily set up and run a modern network.
About the role
The Marketing team is responsible for driving Dabba's growth and brand affinity. The Marketing team works cross-functionally with sales, partnerships, product, ops, customer success, and design teams.
We are looking for someone to start and lead our editorial team. In this role, you will have the opportunity to help build out the new function, establish our editorial and content strategy across all of our owned platforms, and help drive new business and the adoption of Dabba's products and services. You will work closely with Dabba's founders and cross-functional leadership teams.
We are looking for people who are excited to work on complex problems, enjoy learning and working with others, and above all, are kind and ambitious. We are building for the long term and just getting started. We'd love your help.
You will have an impact by
Developing Dabba's editorial strategy to increase awareness and trust
Creating and maintaining editorial calendars that align with the rest of the business’s priorities, including demand generation campaigns, product launches, and SEO
Owning and maintaining Dabba's blog, resources and guides, working collaboratively with stakeholders to develop relevant and timely content
Writing, reviewing, and editing short and long-form content, including website copy, white papers, and blogs
Collaborating with our subject matter experts (product, engineering, operations teams) to develop helpful and impactful written pieces for our target audiences
Creating and driving our SEO strategy to increase top-of-funnel awareness
Define, document, and maintain our style guides and editorial guidelines
You might be a good fit if
You have 5+ years of experience in B2B content marketing
You have excellent writing and editing skills
You have a proven track record of developing engaging content that drives business results across the funnel
You have experience copyediting and developing style guides
You demonstrate strong collaboration, decision-making, and communication skills
You are results-oriented and self-motivated, able to think strategically and execute tactically
You can effectively communicate value propositions and drive initiatives across diverse audiences
You are highly resilient and remain optimistic in the face of adversity — you see the challenge as an opportunity for growth and impact
You possess strong research skills and are naturally curious — you love learning new things and are excited to teach others new concepts
You are collaborative and enjoy working on teams
You are an excellent internal communicator
You excited about building strong content programs within a company that is positioned with aggressive growth goals
You are hyper-organized about prioritizing project requests and committing to deadlines
If you are interested in joining us
We encourage you to reach out even if your experience doesn't precisely match this job description. We operate with a growth mindset and expect ourselves and our colleagues to have the capacity and desire for ongoing growth.
Tell us a little bit about yourself and why you are interested in what we are doing
Attach your resume
Include the URL to your LinkedIn
Shubham Vishwakarma
Full Stack Developer - Averlon
About Wifi dabba, Inc.
About
Wifi Dabba is a Y-Combinator company, that is changing the way people connect to the Internet. We are building technology people use every day, affordable, fast and accessible internet. We are a Telecom startup deploying a city-wide WiFi network.
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Responsibilities:
- Technical Leadership & Delivery: Lead the design, development, and deployment of customized Salesforce solutions, ensuring adherence to best practices for architecture, scalability, and security.
- Project Oversight: Oversee all technical aspects of Salesforce projects, from requirements gathering to final deployment, including integration, testing, and performance optimization.
- Team Management: Provide technical leadership and guidance to a team of Salesforce developers, conducting code reviews, setting development standards, and ensuring timely and quality deliverables.
- Stakeholder Collaboration: Work closely with business stakeholders to understand their requirements, translate them into technical specifications, and ensure successful implementation.
- Custom Development: Architect and build custom Salesforce applications using Apex, Visualforce, Lightning Web Components (LWC), and other Salesforce tools.
- Integrations: Design and implement Salesforce integrations with third-party systems using REST, SOAP, and API integration tools such as Mulesoft.
- Platform Optimization: Manage, maintain, and optimize existing Salesforce environments, identifying opportunities for improvements in performance, security, and user experience.
- Continuous Improvement: Stay current with Salesforce releases and platform enhancements, recommending updates and innovations to keep systems at the cutting edge.
- DevOps & CI/CD: Drive the adoption of DevOps practices, including continuous integration and deployment (CI/CD), ensuring smooth and efficient code management processes.
- Mentorship: Mentor junior developers, providing guidance on best practices, troubleshooting, and problem-solving, fostering a culture of continuous learning and technical excellence.
SENIOR INFORMATION SECURITY ENGINEER (DEVSECOPS)
Key Skills: Software Development Life Cycle (SDLC), CI/CD
About Company: Consumer Internet / E-Commerce
Company Size: Mid-Sized
Experience Required: 6 - 10 years
Working Days: 5 days/week
Office Location: Bengaluru [Karnataka]
Review Criteria:
Mandatory:
- Strong DevSecOps profile
- Must have 5+ years of hands-on experience in Information Security, with a primary focus on cloud security across AWS, Azure, and GCP environments.
- Must have strong practical experience working with Cloud Security Posture Management (CSPM) tools such as Prisma Cloud, Wiz, or Orca along with SIEM / IDS / IPS platforms
- Must have proven experience in securing Kubernetes and containerized environments including image security,runtime protection, RBAC, and network policies.
- Must have hands-on experience integrating security within CI/CD pipelines using tools such as Snyk, GitHub Advanced Security,or equivalent security scanning solutions.
- Must have solid understanding of core security domains including network security, encryption, identity and access management key management, and security governance including cloud-native security services like GuardDuty, Azure Security Center etc
- Must have practical experience with Application Security Testing tools including SAST, DAST, and SCA in real production environments
- Must have hands-on experience with security monitoring, incident response, alert investigation, root-cause analysis (RCA), and managing VAPT / penetration testing activities
- Must have experience securing infrastructure-as-code and cloud deployments using Terraform, CloudFormation, ARM, Docker, and Kubernetes
- B2B SaaS Product companies
- Must have working knowledge of globally recognized security frameworks and standards such as ISO 27001, NIST, and CIS with exposure to SOC2, GDPR, or HIPAA compliance environments
Preferred:
- Experience with DevSecOps automation, security-as-code, and policy-as-code implementations
- Exposure to threat intelligence platforms, cloud security monitoring, and proactive threat detection methodologies, including EDR / DLP or vulnerability management tools
- Must demonstrate strong ownership mindset, proactive security-first thinking, and ability to communicate risks in clear business language
Roles & Responsibilities:
We are looking for a Senior Information Security Engineer who can help protect our cloud infrastructure, applications, and data while enabling teams to move fast and build securely.
This role sits deep within our engineering ecosystem. You’ll embed security into how we design, build, deploy, and operate systems—working closely with Cloud, Platform, and Application Engineering teams. You’ll balance proactive security design with hands-on incident response, and help shape a strong, security-first culture across the organization.
If you enjoy solving real-world security problems, working close to systems and code, and influencing how teams build securely at scale, this role is for you.
What You’ll Do-
Cloud & Infrastructure Security:
- Design, implement, and operate cloud-native security controls across AWS, Azure, GCP, and Oracle.
- Strengthen IAM, network security, and cloud posture using services like GuardDuty, Azure Security Center and others.
- Partner with platform teams to secure VPCs, security groups, and cloud access patterns.
Application & DevSecOps Security:
- Embed security into the SDLC through threat modeling, secure code reviews, and security-by-design practices.
- Integrate SAST, DAST, and SCA tools into CI/CD pipelines.
- Secure infrastructure-as-code and containerized workloads using Terraform, CloudFormation, ARM, Docker, and Kubernetes.
Security Monitoring & Incident Response:
- Monitor security alerts and investigate potential threats across cloud and application layers.
- Lead or support incident response efforts, root-cause analysis, and corrective actions.
- Plan and execute VAPT and penetration testing engagements (internal and external), track remediation, and validate fixes.
- Conduct red teaming activities and tabletop exercises to test detection, response readiness, and cross-team coordination.
- Continuously improve detection, response, and testing maturity.
Security Tools & Platforms:
- Manage and optimize security tooling including firewalls, SIEM, EDR, DLP, IDS/IPS, CSPM, and vulnerability management platforms.
- Ensure tools are well-integrated, actionable, and aligned with operational needs.
Compliance, Governance & Awareness:
- Support compliance with industry standards and frameworks such as SOC2, HIPAA, ISO 27001, NIST, CIS, and GDPR.
- Promote secure engineering practices through training, documentation, and ongoing awareness programs.
- Act as a trusted security advisor to engineering and product teams.
Continuous Improvement:
- Stay ahead of emerging threats, cloud vulnerabilities, and evolving security best practices.
- Continuously raise the bar on a company's security posture through automation and process improvement.
Endpoint Security (Secondary Scope):
- Provide guidance on endpoint security tooling such as SentinelOne and Microsoft Defender when required.
Ideal Candidate:
- Strong hands-on experience in cloud security across AWS and Azure.
- Practical exposure to CSPM tools (e.g., Prisma Cloud, Wiz, Orca) and SIEM / IDS / IPS platforms.
- Experience securing containerized and Kubernetes-based environments.
- Familiarity with CI/CD security integrations (e.g., Snyk, GitHub Advanced Security, or similar).
- Solid understanding of network security, encryption, identity, and access management.
- Experience with application security testing tools (SAST, DAST, SCA).
- Working knowledge of security frameworks and standards such as ISO 27001, NIST, and CIS.
- Strong analytical, troubleshooting, and problem-solving skills.
Nice to Have:
- Experience with DevSecOps automation and security-as-code practices.
- Exposure to threat intelligence and cloud security monitoring solutions.
- Familiarity with incident response frameworks and forensic analysis.
- Security certifications such as CISSP, CISM, CCSP, or CompTIA Security+.
Perks, Benefits and Work Culture:
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that company offers.
PythonAbout the role:
Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.
Responsibilities:
Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.
Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.
Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.
Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.
Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.
Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level.
Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.
Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.
Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.
Requirements:
Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.
5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.
Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only.
Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.
Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.
Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.
AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.
Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.
Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).
JavaIdeal Candidate
10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
Proficiency in SQL, Python, and Scala for data processing and analytics.
Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
Proven ability to drive technical strategy and align it with business objectives.
Strong leadership, communication, and stakeholder management skills.
🚀 Hiring: SAP Vistex Consultant
📍 Locations: Pune | Mumbai | Bangalore | Gandhinagar
🧠 Experience: 6+ years in SAP Vistex
✅ Requirements:
- Minimum 6 years of hands-on experience in SAP Vistex
- Expertise in Incentive Management, Rebates, Chargebacks, and Claims Processing
- Strong integration experience with SAP SD/MM
- Should have done at least 1 full-cycle implementation
- Good understanding of Vistex modules like Deal Management, Pricing, and Contract Setup
- Support & Enhancement project experience preferred
- Excellent communication skills and ability to interact with clients
💼 Nice to Have:
- Exposure to SAP S/4HANA
- Knowledge of ABAP debugging
⏱️ Notice Period:
Immediate to 30 days preferred
We are seeking a highly motivated and experienced Senior Sales Executive & Team Leader to lead a team of real estate agents and drive business growth through sales strategy, market expertise, and team development. The ideal candidate will be a dynamic leader with a strong background in real estate sales, client relationship management, and team performance optimization
C++Location : Bangalore
Total No. of Positions : 10+
Exp Band 1: 5 to 8 years
Location: Bangalore (Work from Office)
Job Description :
Experience in c++ linux environment and JD as below
Requirements analysis (DOORs, Jama or similar tools preferred)
Design Methodologies (Object Oriented, UML, Iterative, Agile preferred)
C++ programming, C, shell scripting, networking protocols, audio & video distribution, and
database management
Software Configuration Management – experience with GIT (Stash/BitBucket) preferred
System Integration & Test – problem solving and defect resolution
Experience with Object Oriented Programming concepts and design patterns, and abstraction
methodology
Experience in software design and development of Linux-based systems following an industrial
process
Experience with testing frameworks (i.e. google test), mocking frameworks (i.e. google mock),
static analysis tools (i.e. CppCheck), and test driven development.
Good To Know:
Object Oriented Programming.
Database Programming in any DB. (preferably Oracle).
Socket Programming.
MultiThreading. (POSIX THREADS)
Data Structures, STL
C++ Unit Testing.
Good debugging skills.
Manage development of highly scalable ecommerce application and platform
Manage release planning and execution, deployment, DevOPs and production
environment
Provide technology thought leadership
Build and mentor high performance teams
Experience / Skills Required:
B.Tech in Computer Science/MCA with 7+ years of progressive industry experience
3+ years of technical management experience
Must be passionate about building “world class software”
Strong experience in building high performance teams – hiring, mentoring and retaining top talent
Strong experience with web and mobile technologies
Strong experience in building highly scalable systems
Strong experience with leveraging OpenSource tools and platforms
Strong experience with RDBMS and NoSQL systems
Prior to being in technical management role – must have had strong development background and
architected scalable server systems
Must have experience with agile planning and delivering short release cycles (bi-weekly releases)
Experience with BigData technologies a great plus
Experience with DevOPs tools and technology a great plus
Experience with AWS cloud a great plus
Experience in building ecommerce or SaaS products a great plus
Experience in software product companies and startups a great plus
Experience with managing user interface design/development a great plus
Experience with LAMP, Python a great plus
Must have excellent communication (verbal & written), interpersonal, leadership, and problem
solving skills
Must be able to thrive in fast paced environment
Machine Learning (ML)
Deep LearningAikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.
Get in touch If you are interested.
Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.
Main Duties
● Quickly research the latest innovations in Machine Learning, especially with respect to
Natural Language Understanding & implement them if useful
● Train models to provide different insights, mainly from text but also other media such as Audio and Video
● Validate the models trained. Fine-tune & optimise as necessary
● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers
● Build preprocessing pipelines for the models that are bieng served as a REST API
● Periodically, test & validate models in use. Update where necessary
Role & Relationships
We consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEO
Educational Qualifications
We don’t discriminate. As long as you have the required skill set & the right attitude
Experience
Upto two years of experience, preferably working on ML. Freshers are welcome too!
Skills
Good
● Strong understanding of Java / Python
● Clarity on concepts of Data Science
● A strong grounding in core Machine Learning
● Ability to wrangle & manipulate data into a processable form
● Knowledge of web technologies like Web server (Flask, Django etc), REST API's
Even better
● Experience with deep learning
● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, Keras
Competencies
● Knowledge of NLP libraries such as NLTK, spacy, gensim.
● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext
● An aptitude to solve problems & learn something new
● Highly self-motivated
● Analytical frame of mind
● Ability to work in fast-paced, dynamic environment
Location
Pune
Remuneration
Once we meet, we shall make an offer depending on how good a fit you are & the experience you already have
Data AnalyticsJob Description: Project Manager
Internal Role: Delivery Manager
Type: Full time
Location: Bangalore
Internal Role: Delivery Manager
About Dataweave:
About Us
DataWeave provides “Competitive Intelligence as a Service” to Retailers and Consumer brands helping them optimize their offerings through effective pricing, assortment and promotional recommendations.
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the Web. At serious scale!
Read more on http://dataweave.com/about/become-dataweaver">Become a DataWeaver
Job Description:
- Develop a detailed project plan (Ensuring resource availability and allocation) to track progress
- Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
- Ensure that all projects are delivered on-time, within scope and within budget
- Coordinate internal resources and third parties/vendors for the flawless execution of projects
- Use appropriate verification techniques to manage risks, changes in project scope, schedule and costs
- Measure project performance using appropriate systems, tools and techniques
- Report and escalate to management as needed
- Establish and maintain relationships with Clients, internal stakeholders, third parties / vendors
- Create and maintain comprehensive project documentation
- Definition of service level agreements (SLA) in relation to services, ensuring the SLA’s are achieved; data sanity and hygiene & client expectations are exceeded
- Effectively monitor, control and support delivery, ensuring standard operating procedures and methodologies are followed
- Create KPIs for monitoring and review and publish health stats on a recurring basis
Key Skills / Knowledge required:
- Proven ability to switch context, manage multiple short projects
- Relevant experience of 3-5 years and overall experience of 8+ yrs
- Exposure to Analytics delivery process, ability to troubleshoot using insights within the data
- Basic Database query skills, with knowledge of Web-crawling concepts is preferred
- Excellent communication skills
- Team management and ability to deliver while working with cross functional teams
- Exposure to Agile Development (Scrum / Kanban) methodology is a plus
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon