Senior Sales Engineer- Ghatkopar, Mumbai

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

About Us

MIC Global is a full-stack micro-insurance provider, purpose-built to design and deliver embedded parametric micro-insurance solutions to platform companies. Our mission is to make insurance more accessible for new, emerging, and underserved risks using our MiIncome loss-of-income products, MiConnect, MiIdentity, Coverpoint technology, and more — backed by innovative underwriting capabilities as a Lloyd’s Coverholder and through our in-house reinsurer, MicRe.

We operate across 12+ countries, with our Global Operations Center in Bangalore supporting clients worldwide, including a leading global ride-hailing platform and a top international property rental marketplace. Our distributed teams across the UK, USA, and Asia collaborate to ensure that no one is beyond the reach of financial security.

About the Team 

As a Lead Data Specialist at MIC Global, you will play a key role in transforming data into actionable insights that inform strategic and operational decisions. You will work closely with Product, Engineering, and Business teams to analyze trends, build dashboards, and ensure that data pipelines and reporting structures are accurate, automated, and scalable.

This is a hands-on, analytical, and technically focused role ideal for someone experienced in data analytics and engineering practices. You will use SQL, Python, and modern BI tools to interpret large datasets, support pricing models, and help shape the data-driven culture across MIC Global

Key Roles and Responsibilities 

Data Analytics & Insights

• Analyze complex datasets to identify trends, patterns, and insights that support business and product decisions.
• Partner with Product, Operations, and Finance teams to generate actionable intelligence on customer behavior, product performance, and risk modeling.
• Contribute to the development of pricing models, ensuring accuracy and commercial relevance.
• Deliver clear, concise data stories and visualizations that drive executive and operational understanding.
• Develop analytical toolkits for underwriting, pricing and claims 

Data Engineering & Pipeline Management

• Design, implement, and maintain reliable data pipelines and ETL workflows.
• Write clean, efficient scripts in Python for data cleaning, transformation, and automation.
• Ensure data quality, integrity, and accessibility across multiple systems and environments.
• Work with Azure data services to store, process, and manage large datasets efficiently.

Business Intelligence & Reporting

• Develop, maintain, and optimize dashboards and reports using Power BI (or similar tools).
• Automate data refreshes and streamline reporting processes for cross-functional teams.
• Track and communicate key business metrics, providing proactive recommendations.

Collaboration & Innovation

• Collaborate with engineers, product managers, and business leads to align analytical outputs with company goals.
• Support the adoption of modern data tools and agentic AI frameworks to improve insight generation and automation.
• Continuously identify opportunities to enhance data-driven decision-making across the organization.

Ideal Candidate Profile

• 10+ years of relevant experience in data analysis or business intelligence, ideally
• within product-based SaaS, fintech, or insurance environments.
• Proven expertise in SQL for data querying, manipulation, and optimization.
• Hands-on experience with Python for data analytics, automation, and scripting.
• Strong proficiency in Power BI, Tableau, or equivalent BI tools.
• Experience working in Azure or other cloud-based data ecosystems.
• Solid understanding of data modeling, ETL processes, and data governance.
• Ability to translate business questions into technical analysis and communicate findings effectively.

Preferred Attributes

• Experience in insurance or fintech environments, especially operations, and claims analytics.
• Exposure to agentic AI and modern data stack tools (e.g., dbt, Snowflake, Databricks).
• Strong attention to detail, analytical curiosity, and business acumen.
• Collaborative mindset with a passion for driving measurable impact through data.

Benefits

• 33 days of paid holiday
• Competitive compensation well above market average
• Work in a high-growth, high-impact environment with passionate, talented peers
• Clear path for personal growth and leadership development

YoHo Designs Pvt Ltd is a startup company located in Bengaluru, specializing in interior design solutions. Our mission is to provide our clients with affordable and durable interior designs that suit their preferences. Our goal is to grow to 100 employees and have 3 experience centers in Bengaluru within a year, with plans for further expansion in multiple cities. We are founded by young entrepreneurs with experience in running successful businesses.

Role Description

We are looking for a full-time Interior Sale's Associate role in Bengaluru who will be responsible for interacting with customers, helping them choose designs, and matching their preferences. They should have excellent communication skills, a flair for design, and the ability to work within a team. As it is an on-site role, the candidate should be based in Bengaluru.

Qualifications

Bachelor's degree or relevant experience in interior design or a related field.

Experience in sales or customer service is preferred.

Excellent communication and interpersonal skills to interact with customers.

Ability to provide expert advice based on customer preferences while also being able to work within a team and with designers.

Passion for design and keeping up with industry trends and developments.

Proficient in relevant software and tools such as AutoCAD, SketchUp, and Adobe Creative Suite.

About Upthrust

Upthrust is a B2B SaaS marketing agency driving growth through data-driven strategies and innovative marketing solutions for SaaS companies via PPC, Paid Social, and growth hacking.

The opportunity

Before you read another word, take a quick peek at who we are:

https://bit.ly/4igeveS

Own end-to-end Google Ads campaigns, from strategy to optimization, while aligning with LinkedIn and web teams to crush client goals.

Key Responsibilities:

Campaign Strategy & Execution

• Build/search/display/video campaigns from scratch.
• Audit accounts to find wasted spend and hidden opportunities.
• Implement conversion tracking, keyword research, and audience targeting tailored for B2B tech.

Performance Tuning

• Weekly bid adjustments, budget reallocations, and negative keyword scrubs.
• Set up real-time alerts to flag CTR drops or budget overages.
• A/B test ads, landing pages, and bidding strategies relentlessly.

Client Collaboration

• Present results that make CFOs nod (not snooze).
• Partner with LinkedIn specialists to unify cross-platform messaging.
• Document processes so your wins scale beyond your inbox.

Must-Haves

• 2-3 years in an agency managing Google Ads (B2B SaaS experience required).
• Certified in Google Ads (Search, Display, Video).
• Proven skill in scaling budgets from $10k–$100k+/month.
• Obsessive data literacy—you turn spreadsheets into strategy.

Nice to Have

• GA4 and Looker Studio fluency.
• Basic LinkedIn Ads or marketing automation know-how.
• Experience with automated bidding scripts.

Why Upthrust?

• Own campaigns without micromanagement.
• Work directly with founders (ex-Adani, Bank of America, IIT, ISB).
• Hybrid setup + health insurance + growth track.

Apply If

You’ve ever canceled plans to tweak a campaign.

No fluff. Just results.

What we offer:

• CTC: 7 LPA - 9 LPA
• Hybrid
• Health insurance
• Growth opportunities working directly with founders with backgrounds in Investment Banking, B2B SaaS leadership, and IIT/ISB education

If you're detail-oriented, results-driven, and excel at client management, we want to hear from you!

Role - Senior Backend Developer

About

It is an AI powered GTM intelligence platform for B2B companies. We aims to become the

Master OS on top of the company's entire martech stack. We are integrating multiple sales and

marketing products into an all-in-one platform, adding smart workflows and machine learning/LLM

based intelligence applications to increase qualified pipeline and funnel conversions. It is growing

fast, has an experienced founding team and is funded by top tier investors.

About the Role

We are seeking a Senior Java Microservices Developer who is a highly skilled professional responsible for designing, developing, and maintaining microservices-based applications using Java technologies.

The job description for a Senior Java Microservices Developer typically includes the following responsibilities and requirements:

Responsibilities:

Design and develop microservices-based applications using Java technologies such as Spring

Boot, Spring Cloud, and Hibernate.

Collaborate with cross-functional teams including product managers, architects, and DevOps to

develop and implement scalable and reliable microservices.

Develop and maintain high-quality code by adhering to coding standards, best practices, and

software development methodologies.

Participate in code reviews, bug fixing, and troubleshooting to ensure high-quality code and

maintain system stability.

Work with stakeholders to understand business requirements and translate them into technical

designs.

Conduct performance analysis and optimization of microservices to ensure optimal system

performance.

Continuously improve the codebase through refactoring, code optimization, and documentation

Requirements:

Bachelor's or Master's degree in Computer Science or a related field.

5+ years of experience in Java development, with a focus on microservices development.

Strong knowledge of Java technologies such as Spring Boot, Spring Cloud, Hibernate, and RESTful

API development.

Experience in designing and developing highly scalable and reliable microservices.

Experience with containerization technologies such as Docker and Kubernetes.

Experience in developing and maintaining CI/CD pipelines.

Strong understanding of database technologies, SQL, and NoSQL databases.

Experience with cloud technologies such as AWS or Azure.

Excellent communication and collaboration skills to work effectively with cross-functional teams.

A Senior Java Microservices Developer is a critical role in the development of microservices-based

applications, and they must have a deep understanding of Java technologies and microservices

architecture to be successful in the role

The Sales Associate is responsible for reaching out to potential leads through LinkedIn Sales Navigator and email to generate sales opportunities. This role requires a proactive and organized individual with strong communication skills and a goal-oriented approach.

Key Responsibilities:

1. Lead Generation: - Utilize LinkedIn Sales Navigator to identify potential leads within the target market. - Create and maintain a list of leads with detailed information for further engagement.

2. Messaging on LinkedIn Sales Navigator: - Craft personalized and compelling messages to initiate conversations with leads. - Engage with leads by showcasing the value of the company's products or services. - Establish and maintain professional and meaningful connections on LinkedIn.

3. Email Outreach: - Develop effective email templates and messaging strategies to contact leads. - Send personalized emails to leads, introducing the company's offerings and benefits. - Follow up with email communications to nurture leads and move them through the sales funnel.

4. Lead Qualification: - Gather essential information from leads to determine their level of interest and potential as sales prospects. - Assess and categorize leads based on predefined criteria.

5. Data Management: - Maintain accurate and up-to-date records of all interactions with leads. - Keep track of response rates and lead progress, providing regular reports to the sales team.

Qualifications:

- Strong written and verbal communication skills.

- Proficiency in LinkedIn Sales Navigator and email outreach tools.

- Adept at data entry and record-keeping.

- Adaptable, with a willingness to learn and adapt to changing market conditions.

- Strong communication skills and the ability to build professional relationships.

• Write copy for a variety of media including social, print, video, and online
• Edit and proof work to ensure high editorial standards are met across all content outputs
• Collaborate with creative, product, marketing, and legal to assess project needs and help with messaging
• Drive brand consistency across all company communications
• Develop and implement brand guidelines
• Stay current on trends and competitors within the editorial sphere
• See projects through the whole creative lifestyle, from inception to deployment
• Strong creative thinking skills and ability to think conceptually
• Comfortable working independently with little direction under tight deadlines
• Excellent writing, editing, and proofreading skills with a diligent eye for detail, language, flow, and grammar
• Proven ability to demonstrate brand voice
• Strong attention to detail
• Excellent portfolio of work