Search Engine optimisation Specialist

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

Role Overview:

This position will own company's digital and social media ecosystem in India. This role sits at the intersection of creative storytelling, cultural relevance, and performance-driven digital marketing, ensuring the brand remains distinctive and engaging across platforms while supporting key business objectives like customer acquisition, store launches, and frequency.

This role will be responsible for driving company's digital storytelling, social media presence, and influencer collaborations while working closely with creative and media agencies to build engaging campaigns that drive both brand love and restaurant traffic.

Key Performance Areas and Tasks:

Social Media & Content Strategy:

• Develop and lead the social media strategy for company's India across platforms including Instagram, YouTube, LinkedIn and X.

• Build engaging content calendars that reflect company's distinctive tone of voice, humour and cultural relevance.

• Ensure social media supports both brand engagement and business outcomes such as store traffic and campaign awareness.

Content Creation & Production:

• Own the planning and execution of photo and video shoots for digital campaigns and social media.

• Collaborate with creative agencies and production partners to produce high-quality visual content.

• Ensure a strong pipeline of always-on content showcasing the brand, food and culture.

Influencer & Creator Partnerships:

• Develop and execute the brand’s influencer and creator collaboration strategy.

• Identify and build long-term relationships with creators across food, lifestyle and culture.

• Drive collaborations that feel authentic to the company's brand and community.

Digital Media Planning & Performance:

• Work with the media agency to plan and manage digital advertising campaigns across social and digital platforms.

• Oversee digital media budgets, campaign execution and optimization.

• Track and report campaign performance against key metrics such as reach, engagement and traffic.

Campaign Development:

• Partner with the Head of Marketing to support development of campaign key visuals and creative assets.

• Translate campaign ideas into digital-first storytelling and content.

Agency Management:

• Lead day-to-day coordination with social, creative and media agencies.

• Ensure agency deliverables meet timelines, brand standards and campaign objectives.

• Act as the internal owner of digital strategy while agencies function as execution partners.

Store & Launch Support:

• Collaborate with the store marketing team to amplify new restaurant launches and local activations through digital and influencer campaigns.

Analytics & Insights:

• Monitor social and campaign performance to derive insights and optimize future content and campaigns.

• Provide regular reporting on metrics including follower growth, engagement, campaign reach and store traffic impact.

What Success Looks Like:

• Company's builds a distinctive and culturally relevant digital presence in India.

• Social media consistently drives engagement, brand buzz and customer interest.

• Influencer collaborations feel authentic and impactful.

• Digital campaigns effectively support store launches, product launches and brand campaigns.

• The digital ecosystem contributes to new customer trials and brand awareness.

Experience:

• 4-6 years of experience in digital marketing, social media or content-led brand roles.

• Experience with consumer brands, QSR, food, lifestyle or hospitality brands preferred.

• Strong understanding of social media culture, trends and creator ecosystems.

• Experience managing digital media campaigns and agency partnerships.

• Ability to balance creative thinking with performance-driven marketing.

• Comfortable leading content production including photo and video shoots.

• Strong project management and collaboration skills.

Position: Laravel + Vue.js Full-Stack Developer

Location: Pune (Hybrid)

Experience: 1 – 4 years

Type: Full-time

Role and Responsibilities

You will work on:

Backend (Laravel)

• Develop new modules: booking, calendar, supplier section, pricing & markup logic.
• Maintain existing modules (boats, tours, enquiries, bookings).
• Handle database queries, migrations, policies, and relationships.
• Integrate and maintain APIs.
• Fix backend bugs and optimize performance.
• Implement new logic updates based on business requirements.

Frontend (Vue.js + Blade)

• Work on Vue.js modals, forms, calendar interactions.
• Manage Vue 2 components (v-model, v-if/v-show, events, watchers).
• Improve user experience in admin panel forms.
• Fix HTML/Bootstrap/JS issues.

Admin Panel & Role Management

• Work with Laravel’s Role-Based Access:
• Gates
• Policies
• Permissions
• Middleware (auth, role, permission)
• Protect admin routes and operations.
• Add new roles/permissions when needed.

System Tasks

• Debug issues related to file storage, PDFs, fullcalendar, daterangepicker.
• Work on server-side tasks (logging, error handling, optimization).
• Work with Ajax (jQuery + Vue mixed old-style admin panel).
• Understand and extend existing architecture.

Required Technical Skills

Must-Have (Strong Knowledge)

• Laravel (5+ to 10+ series experience)
• Vue.js (Vue 2)
• MySQL
• Blade Templates
• jQuery
• AJAX
• Bootstrap
• Role & Permission system (Spatie or native)
• Middleware, Gates, Policies
• REST API development
• Git
• Deployment on Linux/VPS
• Cron jobs & queues

Good to have

• FullCalendar experience
• Payment Gateway Integration
• Daterangepicker
• PDF generation
• Travel booking experience (bonus)
• AWS basics (optional)

Expected Experience

• 1–4 years in Laravel development
• At least 1 project with Vue.js
• Must have worked on admin dashboards or SaaS systems
• Experience with RBAC (role-based access control)

What You Will Work On Immediately

• Fixing and adding availability calendar features
• Enhance booking logic for boats/tours
• Markup percentage/amount handling
• Role-based access improvements
• UI fixes in admin panel
• PDF/file handling improvements
• Vendor/supplier module enhancements

Salary / Compensation

• Monthly: ₹15,000 – ₹35,000

Job SummaryWe are seeking a skilled Java Spring Boot Developer with 5-8 years ofexperience to join our development team. The ideal candidate will beresponsible for designing, developing, and maintaining backend systemsusing Java, JSP and Spring Boot, with a focus on performance, scalability, andreliability.Key Responsibilities Design and implement RESTful APIs using Spring Boot Collaborate with front-end developers, testers, and product managers Write clean, maintainable, and efficient code following best practices Troubleshoot and debug applications Integrate third-party APIs and services Participate in code reviews and contribute to team improvements Document development processes, APIs, and technical decisionsRequired Skills and Qualifications 5-8 years of hands-on experience in Java development Strong knowledge of Spring Boot, Spring MVC, Spring Data JPA, and JSP Experience with REST API development and integration Familiarity with databases such as MySQL Experience with version control tools like Git Understanding of Agile methodologies Good problem-solving and communication skills

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Responsibilities

• Ability to translate Wireframes and Visual Designs into functional web apps using React, Node.js, and Mongo
• Creating RESTful services with Node.js
• Architect scalable web architectures
• Be responsive to change requests and feature requests Ability to wear many hats and learn new technologies quickly

Experience

• 1-2 years with Node.js and Express
• Ability to work both independently and in collaborative teams to communicate design and build ideas effectively
• Experience using asynchronous RESTful services (JSON)
• Experienced in creating RESTful web services and API
• Experience with JWT/OAuth
• Experience with MongoDB, MySql

Requirements

• Fluent knowledge of the latest HTML/CSS standards and best practices
• Working knowledge of JavaScript, React, Node.js and Express
• Understanding of HTTP methods and how server-side code is processed on the client
• Working knowledge of front end optimization and performance techniques
• Experience building responsive websites
• Able to handle multiple projects and competing deadlines
• Good understanding of overall web design including basic usability, accessibility, industry standards, architecture, and navigation

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning