As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

Principal Responsibilities:

• Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.
• Work with portfolio managers and other internal customers to reduce operational risk through:
• Implementation of monitoring, reporting, and trade workflow solutions.
• Implementation of automated systems and processes focused on trading and operations.
• Streamlining development and deployment processes.
• Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.

Technical Qualification:

• 5+ years of development experience in Python.
• Experience working in a Linux / Unix environment.
• Experience working with PostgreSQL or other relational databases.
• Ability to understand and discuss requirements from portfolio managers.

Preferred Skills and Experience:

• Understanding of NLP, supervised/non-supervised learning and Generative AI models.
• Experience operating and monitoring low-latency trading environments.
• Familiarity with quantitative finance and electronic trading concepts.
• Familiarity with financial data.
• Broad understanding of equities, futures, FX, or other financial instruments.
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.
• Experience with Apache / Confluent Kafka.
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).
• Experience with containerization and orchestration technologies.
• Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.
• Contributions to open-source projects.

The estimated base salary range for this position is $100,000 to $175,000, 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. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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You'll work across three key areas that define Databricks' networking stack:

Ingress Control Plane: Build the control plane for Databricks' global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.

Service-to-Service Communication: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don't need to worry about underlying connectivity details.

Overload Protection: Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.

We're looking for someone with a strong proficiency in one or more languages such as Java, Scala, Go, or C++, and experience with service-oriented architectures and large scale distributed systems. Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker) is also required. A track record of shipping infrastructure that supports mission-critical workloads at scale is essential.

The pay range for this role is $166,000-$225,000 USD.

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The nature of our business means you'll spend significant time helping customers who've already adopted Temporal unlock more value by expanding into additional use cases, teams, and workloads. This is a high-velocity, technically deep role.

You'll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.

You'll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.

As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.

Must reside in San Francisco, CA

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In this role, you will:

• Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization.
• Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil
• Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs.
• Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation paths, incident tooling, post-incident reviews, and follow-through on corrective actions.
• Drive the observability strategy (metrics, logs, traces, dashboards, alerts) for Common Services, ensuring we have actionable visibility into the health, performance, and capacity of key systems.
• Collaborate with engineering leads to design and review architectures for reliability, scalability, resilience, and operability, including failure modes, redundancy, and graceful degradation.
• Lead efforts to automate and harden operational workflows, including deployments, rollbacks, configuration management, change management, and routine maintenance tasks.
• Build strong, trust-based relationships with partner teams and stakeholders, becoming a go-to leader for production readiness and operational risk within Common Services.
• Hire, mentor, and develop SRE and production engineering talent, fostering a culture of continuous improvement, learning from incidents, and humane on-call.
• Partner with other SRE and production engineering leaders across CoreWeave to align on global practices, tools, and reliability goals, representing the needs and constraints of Common Services.

You will be responsible for defining the reliability strategy, processes, and standards for the Common Services portfolio and driving consistent, high-quality operational practices across multiple teams.

The base salary range for this role is $206,000 to $303,000.

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters,and that's what powers our innovation.

About this Role

As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field.

Responsibilities

• Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
• Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
• Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
• Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
• Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
• Ensure system reliability, security, and compliance with industry standards and regulations
• Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
• Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
• Mentor junior developers and contribute to the technical growth of the engineering team
• Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance
• Engage with customers to understand their needs and translate them into technical requirements

Who You Are

• 10+ years of software development experience, with a strong focus on backend systems and distributed architectures
• Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
• Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
• Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
• Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
• Strong background in database design and optimization, including both SQL and NoSQL solutions
• Proficiency in developing scalable WebSocket-based real-time communication systems
• Expertise in developing real-time data processing pipelines and analytics systems
• Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)
• Track record of leading development teams and mentoring junior developers
• Excellent problem-solving skills and ability to optimize complex systems
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders
• Strong collaboration skills with a low ego

Nice to Have

• Experience with IoT platforms, robotics frameworks (e.g., ROS), or autonomous vehicle technologies
• Solid understanding of network protocols and communication standards relevant to IoT and autonomous systems
• Knowledge of AMQP, MQTT, DDS, or other IoT-specific communication protocols
• Experience with time-series databases (e.g., InfluxDB, TimescaleDB) for handling large volumes of sensor data
• Familiarity with edge computing and fog architectures
• Experience with real-time operating systems and embedded software development
• Expertise in building and maintaining scalable API platforms
• Experience with geospatial data processing and mapping technologies
• Knowledge of fleet management software and vehicle telematics systems
• Experience with simulation environments for autonomous systems testing

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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Job Summary

As a Software Engineer- III at Electronic Arts, you will lead the end-to-end architecture, design, and implementation of scalable, high-throughput live service platform components that power multiple EA game studios. You will partner with cross-functional teams to streamline and evolve the live services workflow, evaluate and define how EA's live service platforms, studio technology stacks, and third-party/vendor solutions integrate to meet engineering and business objectives in a scalable and cost-effective manner.

Responsibilities

• Lead the end-to-end architecture, design, and implementation of scalable, high-throughput live service platform components that power multiple EA game studios.
• Partner with cross-functional teams including Content Management & Delivery, Messaging, Segmentation, Recommendation, and Experimentation to streamline and evolve the live services workflow.
• Evaluate and define how EA's live service platforms, studio technology stacks, and third-party/vendor solutions integrate to meet engineering and business objectives in a scalable and cost-effective manner.
• Own technical design reviews and drive architectural decisions, ensuring solutions are resilient, extensible, secure, and aligned with long-term platform strategy.
• Use large-scale datasets across 20+ game studios to promote data-driven decision-making, experimentation, and continuous optimization.
• Engage with Game Studios, Experience, and Brand organizations to deeply understand use cases, translate business requirements into technical designs, and drive end-to-end solution delivery.
• Collaborate closely with Product Management to prioritize initiatives, define measurable outcomes, and deliver solutions with clear ROI.
• Partner with Program Management to define sprint goals, plan and prioritize work, and own the team's sprint commitments and delivery outcomes.
• Partner with Legal and Privacy teams to ensure compliance with global regulatory requirements and data governance standards.
• Lead and mentor engineers, providing technical direction, conducting design/code reviews, and fostering engineering excellence.
• Drive stakeholder alignment across multiple teams, locations, and time zones by communicating architecture, trade-offs, risks, and execution plans clearly and effectively.
• Ensure operational excellence for 24/7 live services through proactive monitoring, performance tuning, capacity planning, and incident management.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7-9 years of relevant industry experience in designing and building scalable distributed systems.
• Strong expertise in software design principles, algorithms, and data structures.
• Proven architectural and system design experience, including hands-on ownership of highly scalable, high-throughput, low-latency systems.
• Demonstrated experience leading high-performing engineering teams (2-3+ years), including mentoring, technical guidance, and driving delivery.
• Strong stakeholder management skills, with experience collaborating across product, engineering, legal, and business teams.
• Proficiency in Java and at least one scripting language (preferably Python).
• Hands-on experience with backend frameworks and technologies (e.g., Spring Boot).
• Experience designing and operating distributed systems using messaging and streaming platforms (e.g., Kafka).
• Strong experience with large-scale data pipelines, personalization platforms, analytics systems, and experimentation frameworks.
• Experience with relational, columnar, and/or document-oriented databases.
• Experience managing high-traffic, 24/7 production systems with complex dependencies in cloud environments, preferably AWS.
• Solid understanding of multi-cloud architectures and large-scale data processing systems.
• Working knowledge of containerization and orchestration technologies (Docker, Kubernetes).
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana).
• Experience with CI/CD pipelines and version control systems (e.g., GitLab CI/CD).
• Familiarity with modern software development best practices, including clean code principles, automated testing, CI/CD, and DevOps practices.
• Exposure to frontend technologies (HTML, CSS, JavaScript frameworks such as React) is a plus.

Benefits

Electronic Arts offers a comprehensive benefits package that includes healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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What you'll do

You will work with analysts, understand requirements, and develop technical specifications for ETLs

• You will implement efficient, scalable and reliable data pipelines to move and transform data.
• You will promote strategies to improve our data modelling, quality and architecture
• You will work with big data solutions, ETL pipelines and dashboard tools.

What you need

• 5+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions

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