Responsibilities:

• Collaborate with application development teams, technology management, and the business to design, prototype, and implement next-generation web UIs and mobile apps.
• Develop, maintain, and support existing Java Client UI used by a quarter of the firm.
• Contribute to the application development and architecture of highly scalable real-time UIs.

Qualifications, Skills, and Requirements:

• 5+ years of full-stack development experience, preferably within a financial services firm supporting real-time UIs.
• Expertise with Core Java and Spring.
• Excellent grasp of data structures and algorithms and the ability to learn and adopt new technologies quickly.
• Familiarity with database technologies – Advanced SQL, NoSQL, Time-series databases (KDB).
• Experience with event-driven architecture using message bus and caching technologies like Solace, Kafka, Pulsar, Memcached, Redis.
• Experience working with various monitoring tools like Datadog, ELK stack.
• A strong interest in financial markets and a desire to work directly with investment professionals.
• A good team player with a strong willingness to participate and help others.
• Drive to learn and experiment.

Nice-to-have:

• Proficiency with Angular UI is preferred; React will also be considered.
• Familiarity with equities and equity derivatives within a real-time electronic trading environment is preferred.
• Experience with KDB+ q or C/C++.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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Microsoft are looking for a talented Member of Technical Staff - Data Platform at their Mountain View office. This role sits at the heart of designing distributed systems that process petabytes of data for the world's most advanced AI models. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users.

About the Role

As a Member of Technical Staff - Data Platform, you will be responsible for designing and building the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of 'ETL' into self-service infrastructure. You will modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.

Accountabilities

• Design and build the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of 'ETL' into self-service infrastructure.
• Modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.

The Candidate we're looking for

Experience:

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.

Technical skills:

• Proficiency in Python, Scala, Java, or Go.
• Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake).

Personal attributes:

• Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing.
• Experience with container orchestration (Kubernetes) for deploying data applications.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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Microsoft are looking for a talented Member of Technical Staff - Data Platform at their Redmond office. This role sits at the heart of designing distributed systems that process petabytes of data for the world's most advanced AI models. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users.

About the Role

As a Member of Technical Staff - Data Platform, you will be responsible for designing and building the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of 'ETL' into self-service infrastructure. You will modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.

Accountabilities

• Design and build the underlying frameworks that allow internal teams to process massive datasets efficiently
• Modernize our data stack by moving from batch-heavy patterns to event-driven architectures

The Candidate we're looking for

Experience:

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering

Technical skills:

• Proficiency in Python, Scala, Java, or Go
• Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake)

Personal attributes:

• Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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Microsoft are looking for a talented Principal Software Engineer at their Bengaluru office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are looking for a Principal Software Engineer who is hands-on with production coding and system design to build the real-time data pipelines and feature/embedding materialization systems that feed online stores/caches and integrate tightly with ML inference serving. This role is ideal for engineers who enjoy building robust streaming + ETL systems (correctness, idempotency, backfills, late data), owning SLOs with strong observability and operational maturity, and optimizing end-to-end performance and cost across compute, storage, and serving integrations.

Accountabilities

• Design and implement real-time streaming ETL / feature pipelines (e.g., Flink or Spark Structured Streaming) that meet strict freshness and correctness constraints.
• Build and operate reliable messaging and ingestion with Kafka/Pulsar (partitioning strategy, retries, ordering guarantees, DLQs, backpressure handling).

The Candidate we're looking for

Experience:

• Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or a related field, with 8+ years of related experience.

Technical skills:

• Strong programming skills in language C++, C# or Python (at least one required).
• Hands-on experience in one or more: Building and operating streaming data pipelines in production (Flink or Spark Structured Streaming), Distributed systems engineering with strong reliability and operational rigor, Messaging systems such as Kafka/Pulsar.

Personal attributes:

• Strong communication and collaboration skills, with experience working across engineering, applied science/ML, and product/business stakeholders.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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