Sales Engineer

About StepSecurity

StepSecurity, a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. We are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.

We are a 16-person team, founded by Varun Sharma (ex-Microsoft, 21 years, led supply chain security for Azure) and Ashish Kurmi (ex-Uber, Microsoft, Plaid, 17 years).

About the Job

We are seeking backend engineers to build and maintain our CI/CD security platform's backend systems and components (GitHub Actions). This high-impact role involves setting best practices and owning engineering processes, with contributions used by thousands of developers globally. Our primary languages are Golang and Node.js.

Requirements

• 2–5 years of experience, strong engineering fundamentals (cyber security background not mandatory), AI-native mindset, comfortable with a hands-on zero-to-one environment. We use Golang as our primary language.
• Must-haves: Golang backend programming; AWS/Azure/GCP background; scalable/fault-tolerant system design.
• For all engineering positions, prior early-stage startup experience is a must-have requirement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid understanding of software development principles, design patterns, and best practices.Expertise in building scalable and fault-tolerant systems.
• Strong collaborative and problem-solving skills.
• Self-motivated, creative thinker with a drive for continuous improvement.
• Experience in a startup or high-impact, outcome-driven environment.

Location

India remote. Candidates should be able to overlap a few hours with Pacific Time (PT) when working on urgent customer issues as required.

Responsibilities

• Design, develop, and maintain robust, scalable software solutions.
• Architect and implement CI/CD components (GitHub Actions).
• Deliver features incrementally in quick iterations.
• Write clean, efficient, and maintainable code following industry best practices.
• Conduct code reviews and provide constructive feedback.
• Troubleshoot and debug complex software issues promptly.

Why Join Us

• StepSecurity is at the forefront of supply chain security research and product development. We were the first to detect several major supply chain attacks in 2025 and 2026 such as the axios npm compromise, tj-actions, etc (https://www.stepsecurity.io/newsroom)
• Our research and findings are regularly cited by major publications such as Bloomberg, TechCrunch, Hacker News, and Dark Reading. The Cybersecurity and Infrastructure Security Agency (CISA), the primary cybersecurity agency for the US federal government, has published several cybersecurity advisories citing StepSecurity (e.g., https://www.cisa.gov/news-events/alerts/2025/09/23/widespread-supply-chain-compromise-impacting-npm-ecosystem)
• In addition to having several enterprise customers, StepSecurity has been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, Datadog, and others.
• Engineers joining now get to work on hard, high-impact problems at the intersection of security, AI, and open source, with meaningful equity upside at an early stage.

·         Design, Develop, and Implement Integration solutions using Oracle Integration cloud (OIC) to connect various applications, Systems, and Services

·         Customize and configure OIC adapters, connectors, and Components to meet specific integration requirements.

·         Develop RESTful and SOAP Webservices for data exchange and communication between different systems.

·         Good Knowledge in Cloud technologies (Lamda function in AWS etc for integration with AWS)

·         Collaborate with Business analysists and stakeholders to gather requirements and define integration workflows and data flows.

·         Perform troubleshooting, debugging and performance tuning of integration solutions to ensure optimal performance and reliability.

·         Develop and maintain documentation for integration processes, interfaces and configurations.

·         Perform Code reviews .

·         Ensure adherence to coding standards , development methodologies and security protocols throughout the software development lifecycle.

Personnel Specification

Education: Bachelor’s degree in computer science, Information Technology or related field

Experience:

• 5 or more years of experience in IT industry.

• Experience in Cloud based integration Platform.

Skills and Abilities:

·         Proven experience in designing, developing, and implementing integration solutions using OIC

·         Strong understanding of RESTful and SOAP web services, JSON, and other data formats.

·         Experience in cloud based integration platforms, writing Lamda function and creating integrations with various channels.

·         Strong Knowledge in OIC API Integration.

·         strong understanding on SOAP based services and Rest bases services.

·         Strong development skills in JAVA

·         Strong knowledge on Authentication methodologies to be followed during the integration platforms.

·         Strong Knowledge in OIC GEN2 and GEN3

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

We are looking for a dynamic and driven Assistant Manager to lead Ad Sales for our Automotive Magazine. The ideal candidate will have a proven track record in print media ad sales, with a preference for those who have prior experience in the automotive segment.

Key Responsibilities:

• Drive advertising revenue for the print magazine through direct and agency sales.
• Identify and build a strong pipeline of leads through existing contacts and cold outreach.
• Develop and pitch creative sales initiatives tailored to client needs and market trends.
• Leverage your network within the automotive industry, brands, and ad agencies to secure high-value deals.
• Execute sales strategies effectively and efficiently to meet organizational goals.
• Track, achieve, and exceed weekly and monthly sales and activity targets.

Requirements:

• Minimum 3 years of experience in ad sales for print media, preferably within magazine publishing.
• Prior experience in the automotive sector is highly preferred.
• A strong and active network of corporate clients and advertising agencies.
• In-depth understanding of the print advertising landscape and automotive market trends.
• Excellent communication, presentation, and negotiation skills.
• Strong networking and relationship-building abilities.
• Self-motivated, resilient, and adaptable in a fast-paced environment.

Responsibilities:

 Will be responsible for marketing and concept sales in B2C as well as B2B segment.

 Will be responsible for Managing Teams of different verticals like marketing, sales, administration as well as technical team.

 Will be accountable to run the center as profit center.

 Will be accountable for complete operations.

 Should be able to generate revenue through college, corporates and universities for training business.

 Will be accountable for center target and deadlines.

 Role demands a leader who can mentor and guide the team to reach the goals.

 Maintenance of process, reports is mandatory.

Key Results Area

 Month on month profit generation by effectively running the Branch.

 Always should exceed the customers expectation.

Key Results Area

 Month on month profit generation by effectively running the Branch.

 Always should exceed the customers expectation.

 Location: Bangalore, Jayanagar 4th block

 Job Type: Full-time | On-site | Mon to Sat | 9:30 AM to 6:30 PM

 Directions: https://goo.gl/maps/LQbMtGp8RqRfaWx46

Note:

 Laptop is Mandatory (company will not provide).

 No virtual interviews will be conducted.

 Maximum Age limit is 45.

Key Responsibilities:

*Conduct door-to-door sales visits in your territory.

*Build strong relationships with potential clients, offering tailored solutions.

*Generate leads and surpass sales targets.

*Collaborate closely with the team to implement effective sales strategies.

Requirements:

*Proven B2B sales experience, especially in door-to-door sales.

*Strong communication and negotiation skills.

*Results-driven and self-motivated.

*Thrives in a fast-paced environment.

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists

Technical Skills:

• Hands-on experience with JavaScript/TypeScript ( NodeJS & ExpressJS) in) Development on both client and server-side
• Proficiency in HTML, CSS and front end frameworks(Angular 7, AngularJS) 
• Having experience in building a responsive web design
• Experience with MongoDB and good knowledge in database concepts
• Experience with web frameworks like ExpressJS
• Developing secure Node.js end points using Passport, JWT, OAuth, and related technologies.
• Knowledge in Restful API Design
• Knowledge in unit testing tools like Karma, Jasmine etc..
• Experience with Version control systems like GIT and knowledge in GIT branching is necessary.
• Knowledge in continuous integration
• Strong object-oriented knowledge in any platform is a plus
• Proficiency and hands-on experience with one or more of the following: Backbone / KnockoutJS / EmberJS / ReactJS is a plus
• Knowledge in payment gateway integration is a plus

Responsibilities:

• Working with an Agile Scrum team using tools such as JIRA.

• Involving in writing functional specifications and technical documentation

• Working with the peer developers and writing good quality codes and release features

• Participation in internal code reviews

• Direct interaction with the client