Technical Support Specialist

Strong Influencer Marketing Manager / Influencer Marketing Specialist profiles

Mandatory (Experience 1) – Must have 3+ years of hands-on experience in Influencer Marketing, Creator Partnerships, or Digital Marketing.

Mandatory (Experience 2) – Must have experience independently managing end-to-end influencer campaigns, including influencer identification, onboarding, negotiations, content approvals, campaign execution, and performance tracking.

Mandatory (Experience 3) – Proven experience working with Macro, Micro, and Nano influencers across Instagram, YouTube, and other social platforms, driving both brand awareness and performance-led campaigns.

Mandatory (Experience 4) – Must have strong experience in influencer outreach, relationship management, contract negotiations, and partnership models such as Paid, Barter, Affiliate, and Revenue Share collaborations.

Mandatory (Experience 5) – Must have hands-on experience tracking influencer campaign metrics such as Reach, Engagement, Conversions, CAC, ROAS, and ROI.

Location: Bangalore preferred / Hybrid as applicable

Experience: 3+ years

Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline

Salary: Above market standards, flexible for the right candidate

Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations

About FrontM

FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.

The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.

Role Summary

As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.

This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.

Key Responsibilities

Cloud Infrastructure & DevOps Architecture (≈45%)

· Own, maintain and improve AWS cloud infrastructure for FrontM platforms

· Create and maintain Terraform scripts for infrastructure deployment and management

· Manage Kubernetes workloads deployed within AWS EKS

· Support multi-zone AWS infrastructure design for availability, resilience and scale

· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap

CI/CD, Operations & Platform Reliability (≈35%)

· Build, maintain and improve CI/CD pipelines for backend and platform services

· Oversee technical operations with hands-on administration, monitoring and release support

· Ensure continuous server uptime, stability, performance and maintainability

· Debug, respond to and restore system outages in production and staging environments

· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io

· Support backend stability, scale and performance across Node.js, Java and related services

Security, Networking & Production Support (≈20%)

· Maintain AWS security configurations, access controls and monitoring practices

· Support complex networking requirements across multi-domain SaaS implementations

· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users

· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements

· Document operational procedures, incident findings and technical support steps clearly

Required Technical Skills

Cloud Infrastructure & AWS

· Strong hands-on experience with AWS infrastructure and cloud operations

· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Experience with AWS security setup, monitoring and multi-zone infrastructure

· Ability to manage infrastructure using Terraform

Kubernetes, CI/CD & Observability

· Strong experience with Kubernetes, preferably AWS EKS

· Extensive CI/CD and DevOps experience

· Experience with infrastructure observability and application monitoring tools

· Ability to diagnose production bottlenecks, server failures and performance issues

Backend, Networking & SaaS Operations

· Experience supporting Node.js, Java and backend system procedures for stability and scale

· Good understanding of APIs, integrations and backend service dependencies

· Experience with complex networking and multi-domain SaaS implementations

· Ability to troubleshoot technical issues with non-technical end users

Nice to Have

· Experience with MongoDB clusters in MongoDB Atlas

Personal Attributes

· Strong ownership mindset for uptime, reliability and production stability

· Practical problem-solving approach with the ability to act quickly during incidents

· Clear written and spoken communication in English

· Ability to work independently and coordinate with senior management when required

· Comfortable working in fast-moving engineering teams

· Attention to detail in security, monitoring, documentation and operational processes

Why join FrontM?

Long-Term Career Growth

Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.

Engineering Challenges That Matter

Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.

Broad Technical Ownership

Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.

Apply now

Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.

Role: Sales Development Representative (SDR) 

Location: Hybrid - 3 days Work from Office (HSR, Bangalore) 

Shift: US Hours (7:30 PM to 3:30 AM IST) 

Salary: 4.5 LPA fixed + incentive (negotiable)

** Only apply if you are in Bangalore, or willing to relocate to Bangalore before Dec 1,2025 **

Our company isn’t another SEO agency. We’re the first ones helping SaaS brands rank inside ChatGPT, Perplexity, and AI search engines. 

We’re looking for a Sales Development Representative (SDR) who’s hungry to win—someone who thrives on conversations, not comfort, and can fill the founder’s calendar with high-intent SaaS leads. 

What You’ll Do: 

● Own top-of-funnel outreach: research, prospect, and qualify leads from our ICP (future-focused SaaS brands). 

● Personalize cold outreach across email, LinkedIn, and calls using our playbooks and tools. 

● Book high intent qualified meetings/month with the founder. 

● Run crisp qualification conversations: you’re not spamming; you’re diagnosing. ● Maintain and update lead data, activity, and notes in CRM tools (we’ll provide systems + training). 

● Collaborate with leadership to refine messaging, identify opportunities, and close the feedback loop fast. 

What You’ll Need: 

● 1-2 years of experience as an SDR or in outbound lead generation for B2B SaaS or agencies. 

● Excellent spoken and written English (you’ll be speaking with US founders).

● Comfort with cold outreach: you’re confident, curious, and unshaken by silence.

● Sharp research instincts and ability to adapt messaging on the fly. 

● Hunger to learn, improve, and grow into a senior sales or partnerships role. 

What You’ll Get: 

● Fixed pay + incentives for every qualified meeting completed. 

● Hands-on exposure to scaling a fast-growing global agency. 

● Direct mentorship from founders: learn outbound systems that actually convert.

● Work with global SaaS brands defining the future of search visibility.

💯What will you do?

• Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
• Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
• Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
• Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
• Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
• Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
• Train the TAs to take the doubt sessions and for project evaluations

💯Who are we looking for?

We are looking for someone who has:

• A minimum of 1-2 years of industry work experience in data science or a related field. Teaching experience is a plus.
• In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
• Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai, etc.
• Passion for teaching and a desire to impart practical knowledge to students.
• Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
• Experience with curriculum development, lesson planning, and instructional design is a plus.
• Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.

💯What do we offer in return?

• Awesome colleagues & a great work environment - Internshala is known for its culture (see for yourself) and has twice been recognized as a Great Place To Work in the last 3 years
• A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
• Competitive remuneration

💰 Compensation - Competitive remuneration based on your experience and skills

📅 Start date - Immediately

Responsibilities:

• Takes initiative and interacts with users effectively.
• Willing to explore ideas through design and animation before executing them.
• Willing to throw away ideas if they're not great; optimistic enough to keep hunting for new ones.
• Excited to collaborate with everyone on the team (from engineers to customer facing folks). You believe inspiration can come from anywhere.
• You don't believe users are our guinea pigs; we ship great products when they're ready and something we might often use ourselves.
• Owning the 0 to 1 designing process to shape the future of timely AI.
• Always starting with the why and focusing on things that drive impact.
• Prototyping and telling a visual story for everything.
• Ensuring quality end-products. No compromises.
• On-point time-management skills.
• Desirous to learn as much as possible about how professionals use timely AI.
• Needs to have product sense and must have worked on SaaS products

Requirements:

• An expert in either graphic/ illustrations, or visual design, and skilled in more disciplines of design like animations and interactions.
• 2+ years of experience at a digital product company.
• Familiar with the end-to-end iterative Visual designing process and creating high-fidelity visuals.
• Experience with digital products. Business to business is a bonus.

Interpret data, analyze results using statistical techniques and provide ongoing reports

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

Acquire data from primary or secondary data sources and maintain databases/data systems

Identify, analyze, and interpret trends or patterns in complex data sets

Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

Work with management to prioritize business and information needs

Locate and define new process improvement opportunities

• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

Job Responsibilities

• Services Sales and consulting Business Development Handle clients and consult them as per their investment need in business.
• The position is responsible for managing the process from the sourcing of leads through the awarding of franchise agreements to prospective franchisee leads.
• Develops and implements a robust strategic recruitment approach and process to identify qualified candidates
• Works closely with the Marketing department to develop and implement innovative approaches and creative campaigns to generate leads
• Maintain consistent contact with existing clients
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree 2 - 3+ years in the sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• CRM experience is preferred

Skills / Attributes

• Strong Communication, Organisational, Operational and People Skills
• Highly presentable
• Developed analytical and problem-solving abilities
• Strong interpersonal skills
• Energetic self-starter
• A hands-on approach to problem-solving
• Fanatical attention to detail
• Strong customer service orientation

• Serves customers by providing product and service information and resolving product and service problems.
• Attracts potential customers by answering product and service questions and suggesting information about other products and services.
• Opens customer accounts by recording account information.
• Maintains customer records by updating account information.
• Resolves product or service problems by clarifying the customer’s complaint, determining the cause of the problem, selecting and explaining the best solution to solve the problem, expediting correction or adjustment, and following up to ensure resolution.
• Maintains financial accounts by processing customer adjustments.
• Recommends potential products or services to management by collecting customer information and analyzing customer needs.
• Prepares product or service reports by collecting and analyzing customer information.
• Contributes to team effort by accomplishing related results as needed.

Skills Required 

• Customer service
• Product knowledge
• Market knowledge
• Quality focus
• Problem-solving
• Documentation skills
• Phone skills
• Listening
• Resolving conflict
• Analyzing information
• Multi-tasking
• communication 
• Fluent English