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Requirements:
7+ years of experience in SRE, DevOps, or production engineering roles supporting large-scale distributed systems.
Expertise architecting and operating monitoring, tracing, and alerting with Datadog (including custom metrics, dashboards, and advanced alerting techniques).
Experience with additional monitoring/observability platforms (e.g., Prometheus, Grafana, ELK stack).
Hands-on knowledge of PostgreSQL, Redis, SQS, and Kubernetes (deployment, troubleshooting, scaling, and performance optimization).
Advanced scripting/programming skills with Python, Bash, or another relevant language.
Track record of designing and implementing automated solutions (Infrastructure-as-Code, CI/CD pipelines, auto-remediation).
Strong communication skills, including technical writing, documentation, and presentation to diverse technical audiences.
Experience working closely with development, product, and architecture teams to embed reliability from the design phase.
Fluent technical English.
Preferred Qualifications:
Strong familiarity with SaaS, microservices architectures, and security best practices.
Cloud certifications (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Engineer) are a plus.
Deep experience with chaos engineering, performance/load testing, and continuous improvement frameworks.
Demonstrated ability to mentor engineers, promote reliability culture, and foster knowledge sharing.

Requirements:
At least 7 years of experience in the software industry (preferred python).
3+ years of experience as an R&D team leader.
Skilled in relational databases and SQL.
Experience and knowledge in cloud services, AWS preferred.
Experienced in microservice and event-driven design and development.
Experience with serverless development is an advantage.
Strong background in designing and developing scalable SaaS applications.
Excellent communication skills with the ability to collaborate across Product, UX/UI, and Technical Writing.
Skilled at identifying risks, monitoring progress, and proactively resolving technical challenges.
Experience working in an Agile development environment.
Excellent communication and presentation skills.
Elite alumni graduate or Computer Science degree or similar experience.

Requirements:
Bachelors degree in computer science, Software Engineering, or a related field.
4+ years of hands-on development experience with Python and AWS.
Proven experience with infrastructure as code (preferably AWS CDK, Terraform, or CloudFormation).
Strong knowledge of AWS architecture and services, particularly in data/ML workloads.
Deep experience with CI/CD pipelines (Jenkins or similar).
Strong expertise in Docker and containerized applications.
Demonstrated knowledge of cloud security, scalability, and tenant isolation.
Hands-on experience with observability platforms (preferably Datadog).
Self-motivated and goal-oriented with a high work ethic.
Additional Information
Background in MLOps, Data Platforms, or Machine Learning workflows.
Experience with additional monitoring and logging tools (CloudWatch, Prometheus, ELK).
Leadership experience in scaling cloud-native platforms.
Experience in information security an advantage
Understanding of identity & access management, secrets management, or zero-trust architecture - Bonus.

Requirements:
BE / BTech / MCA or equivalent.
7+ years of hands-on experience in frontend development, building enterprise-scale applications.
2+ years of experience leading a frontend team (or mentoring developers).
Strong expertise in Angular (latest versions).
Proficiency in TypeScript, JavaScript, HTML5, CSS3.
Experience with responsive design, accessibility, and performance optimization.
Familiarity with RESTful APIs and integrating frontend with backend services.
Good understanding of security best practices in web development.
Experience with Agile methodologies, TDD, and automated testing frameworks.
Strong problem-solving, communication, and interpersonal skills.
Ability to manage multiple tasks, prioritize effectively, and drive projects to completion.
Passion for mentoring developers and fostering team growth.

Requirements:
6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
Masters degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.
Additional Information
Familiarity with cybersecurity, identity security, or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
Publications, patents, or open-source contributions in AI/ML.

Requirements:
What you need to succeed
​3 + years hands-on experience leading development of highly-scalable SaaS complex applications
5+ years of experience in Python/Go/Java/C#/C++ (Python is a definite advantage)
2+ years of experience with AWS cloud platform
Experience with Agile, CI/CD based development
Proactive, highly motivated individual with a high work ethic and goal-oriented approach
Capable and courageous enough to deep dive into complex areas in the system, analyse them, suggest solutions, and make necessary changes
Excellent communication and presentation skills
Bachelors Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience
Passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo.
Proactive by nature; internal drive for excellence and improvement
Good communication skills, fluent in English, good writing skills
Autodidact, like to learn new things and share with the team
How will you stand out from the crowd:
Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)
Experience with AWS and server-less solutions
Solid understanding of design patterns and best practices.

Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field.
At least 3 years of experience with Python - must.
Experience with AWS - must.
At least 2 years of experience with Angular or React - must.
Nice to have experience with serverless design, CDK, or CloudFormation.
Experience with the full SDLC, including design, development, testing, and deployment.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
Strong organizational skills and the ability to manage multiple projects simultaneously.
Passion for continuous learning and staying updated with the latest industry trends.

Requirements:
Produce architecture plans and design guidelines for our company's SaaS platform services, focusing on the complex and high-impact features and systems under your responsibility. Meet the NFRs (non-functional requirements) and systems evolutionary roadmap, and identify, neutralize and mitigate risks.
Lead the architecture process to successful implementation
Manage and advocate to reduce technical debt
Work closely with Product Managers and other system architects to align, consult and adjust the architecture.
Work closely with the architecture lead.
Coach, escort, and mentor other architects, Train new architects
Participate in the System Architects forum to build, improve and enhance our company architects.
Conduct POCs with various technologies and tools.
At least 8 years of Experience as a SW architect
At least 3 years of experience with architecting cloud based solutions on either AWS\Azure\GCP (AWS advantage)
At least 5 years of experience in Python/Go/Java/C#/C++ (Python is a definite advantage)
At least 3 years of Experience with data engineering, data analytics, and or AI/ML
BA in Computer Science (+10 years of Experience) or MAMRAM graduate (+8 years of Experience in a commercial company).
Deep knowledge and Experience in the following domains:
Serverless based architecture
Experience in conducting the architecture of at least 2 large products from scratch
Experience with designing and building big-data solutions, including:
Storing and searching data in data lakes, columnar databases, etc.
Streaming and routing data using tools like Kafka or GCP PubSub
Performing data manipulation in batch or streams, using tools like Apache Flink, Apache Spark or GCP DataFlow
Experience with Agile, CI/CD based development
Enterprise systems and solutions - challenges, known architectures and solutions
Good sketching and modelling skills
Fluent in English, good writing skills
Leader by nature, with the ability to motivate people and influence them.
A thorough and methodical approach to any task, Ability to plan, conduct, prioritize, track and measure processes.
Decision making skills: Make sound decisions, taking into account both architectural and business considerations, at times with incomplete information
Proactive by nature; internal drive for excellence and improvement; independent
Excellent communication skills and ability to coach others.
Open-minded, original thinker and creative
How will you stand out from the crowd:
Experience with AWS/CDK/Python
Experienced with modern CI/CD tools, in particular GitHub, Jenkins and Artifactory
Experience with Data engineering and Enterprise Integration patterns
Multi-Tenancy experience (having one infrastructure server multiple segregated customers)
Basic understanding of enterprise architecture, and IT flows Experience in scaled projects - re-architecting a product to support large-scale environments.

Requirements:
Minimum of 7 years of experience as a program manager in R&D, preferably in a global SaaS company.
Proven track record of successfully driving large complex initiatives, leading change management, and implementing SDLC process improvements end to end, while being detail-oriented and maintaining accuracy.
Strong understanding of R&D methodologies and tools, product development life cycle
Excellent analytical skills with the ability to gather, analyze, and interpret data to drive informed decision-making and process optimization.
Hands on experience with data analysis tools is preferred, such as Tableau, excel, Snowflake for data gathering and optimizations.
Strong presentation and interpersonal skills
Additional Information
Lead without authority skills - exceptional leadership and communication skills, with the ability to influence and collaborate effectively with cross-functional teams and organizational levels, addressing their interests and concerns
Technical and detail-oriented
High sense of ownership and accountability
High communication and interpersonal skills
Can-do approach
Agile mindset, coacher at heart, and servant leader
Be flexible and ready to get out of your comfort zone
Strong presentation and interpersonal skills.

Requirements:
4+ years of coding experience in backend and frontend technologies, Python and/or React
Excellent design and analytical skills.
Experience with continuous integration and continuous deployment (CI/CD) pipelines, Jenkins preferred.
Experienced in microservice and event-driven design and development.
Experience and knowledge in cloud services, AWS preferred.
Experience with serverless development is an advantage.
Proactive, highly motivated individual with a high work ethic and goal-oriented approach.
Elite alumni graduate or Computer Science degree or similar experience.
Excellent communication and presentation skills.