Role: Motion Graphics Designer

Role & Responsibilities

Design, develop, and implement high-quality software solutions for payment processing.

Maintain a regular release cadence and manage the product backlog.

Ensure timely and lossless communication across teams.

Uphold engineering values and best practices.

Collaborate with international teams to ensure successful product development and delivery.

Ideal Candidate

A strong technical background in software engineering and architecture, with experience in modern programming language

Ability to work independently with very little direction, taking full ownership of projects.

Identifying blind spots, anticipate challenges, and prioritize work effectively

Exceptional communication and organizational skills.

A Bachelor's degree in Computer Science, Engineering, or equivalent experience.

8+ years of relevant experience preferred

Proficiency using Python, Kafka, Kubernetes, and AWS

Experience with Distributed Task Queues such as Celery and RabbitMQ is preferred.

Experience with RDBMS/SQL is also preferred.

Key Responsibilities:

1. Threat Research: Work on researching emerging cyber threats specifically. You will monitor threat actor activities, study their tactics, techniques, and procedures (TTPs), and help identify potential risks.

2. Alert Triage and Incident Analysis: Support the analysis of security alerts generated by our in-house platform. You will work alongside the team to identify critical issues and provide timely

intelligence to help mitigate threats.

3. Data Collection and OSINT: Assist in gathering and analyzing data using Open Source Intelligence (OSINT) methodologies. You will help collect relevant information to support ongoing threat investigations.

4. Report Preparation: Contribute to the preparation of threat intelligence reports for internal and external stakeholders. You will learn how to convey complex technical information in a clear and

actionable manner.

5. SOP Development: Collaborate with the team to develop and refine Standard Operating Procedures (SOPs) for systematic threat analysis. Your input will help ensure that our procedures are efficient and scalable.

6. Cross-functional Collaboration: Work closely with various teams, including product development and data acquisition, to support the integration of new intelligence sources and improve the effectiveness of our threat intelligence platform.

Key Qualifications:

Educational Background: Completed a degree in Cybersecurity, Computer Science, Information Technology, or a related field.

Basic Knowledge of Cybersecurity: A foundational understanding of cybersecurity concepts, including web application security, threat analysis, and vulnerability assessment.

Familiarity with OSINT: Basic knowledge of Open Source Intelligence (OSINT) tools and methodologies for data collection.

Technical Skills: Familiarity with scripting languages such as Python, Ruby, or GO is a plus.

Experience with automation and data analysis tools will be advantageous.

Communication Skills: Strong written and verbal communication skills, with the ability to learn how to convey technical findings effectively.

Problem-Solving and Adaptability: A proactive attitude with strong problem-solving skills. You should be comfortable learning in a fast-paced and dynamic environment.

Additional Skills:

Interest in Cybersecurity Challenges: Participation in bug bounty programs, Capture The Flag (CTF) challenges, or cybersecurity competitions is a plus.

Willingness to Learn: A keen interest in developing skills in threat intelligence, threat actor profiling, and behavioral analysis.

Role: AUTOSAR Developer

Location: Hyderabad

Fulltime

Must Have

Proficient in development of Base Software in AUTOSAR.

Experience in configuration of different AUTOSAR BSW components (Comms/DCM/DEM/Memory etc.)

Experience of working in any of the commercial AUTOSAR

Good To Have

Experience of working in Vector AUTOSAR Stack and related tool chain.

Experience of working in RTE and APSW layers.

Working Knowledge in IS026262.

Experience in latest uc platforms (Infineon/Renesas/TI/NXP)

Job R&R

Mentor/Lead a team of around 2-3engineers.

Work in SW development of ADAS Products.

Product Responsibilities:

As an Engineering Manager, you will be responsible for the end-to-end delivery of one or more products and solutions.

10+ years of relevant industry experience.

Be technically strong and deliver product excellence.

Collaborate with your team and cross-functional partners to define and influence strategy.

Drive roadmap creation and execution.

Collaborate with various functions, drive engineering initiatives, and have an impact at an organizational level.

Participate in technical design. You will be the owner of the technical direction of the products.

Define clear OKRs and measure the impact of your team and individual members.

Evangelize your products across various teams and also to external customers.

Work with the GTM team to deliver success for the products.

Collaborate with the Recruitment/HR team to hire exceptional talent for your own team and also for other teams.

Minimum Qualifications:

Bachelor degree preferably in Computer Science from a reputed engineering college.

10+ years of proven experience, with 2+ years of leading a team.

Very strong in hands-on coding.

8+ years of combined experience in JVM languages(Java, Scala, Kotlin, etc), any scripting language like python, relational and non-relational databases.

Very strong in system design. You should have designed and implemented large-scale Web applications or data systems.

Strong verbal and written communication skills.

Demonstrated experience recruiting and managing technical teams, including performance management.

Good to have:

Don't worry, we'll ramp you up, but experience in any of these areas will help you hit the ground running:

Familiarity with technologies such as Apache Spark, Apache Hadoop ecosystem, and modern warehouses like Snowflake, AWS Redshift, etc.

Experience working with public cloud systems such as AWS, GCP, or Azure.

Experience with containerization and technologies such as Kubernetes and Docker.

 Knowledge of large-scale, data-heavy distributed systems.