The Role

We’re excited to invite a Senior Staff Engineer to join our amazing team at SoFi! We are on a journey to build out a new team dedicated to developing innovative crypto products and services for our members. With recent developments paving the way for SoFi to re-enter the crypto space, we’re eager to expand our product offerings with intuitive, secure, and fully-featured solutions across crypto Investing, Transfers, Payments, Custody, and beyond.

As a member of our team, you’ll be right in the heart of the action—implementing functionality, architecting our systems, squashing bugs, maintaining the health of our code, and continuously growing as an engineer. We’re looking for someone who is both forward-thinking and hands-on, with a strong sense of ownership and a passion for delivering results. You’ll also be a great mentor and co-worker! At SoFi, we take pride in the collaboration between Product, Design, and Engineering, and you’ll be involved in the entire product lifecycle—from ideation through building, deploying, and ongoing improvement and evolution.

Joining SoFi means becoming part of a new kind of finance company with a mission to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, helping everyone get their money right. We started with student loan refinancing, tackling the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Since then, we’ve expanded our products and services across loans, wealth management, and insurance. SoFi has seen significant growth and has ambitious plans ahead, but to continue this journey, we need talented individuals like you!

Key responsibilities:

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
• Shape the technical architecture across SoFi’s crypto stack—wallets, custody, trading, and beyond.
• Drive new ideas and technical strategies that push our crypto offerings forward.
• Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
• Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
• Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
• Mentor engineers and contribute to a culture of technical growth and curiosity.
• Lead discussions, reviews, and decisions across teams and with senior technical leadership.
• Make smart, pragmatic decisions that balance speed and quality.
• Stay curious—constantly learning new tools, protocols, and patterns in the evolving crypto space.
• Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.

What you'll need:

• 10+ years of programming experience, with significant experience in modern languages and familiarity with AI tools.
• BS Degree or equivalent from a fully-accredited college or university preferred.
• Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases, and mobile/web applications.
• Expertise with Java / Spring / Kotlin / PostgreSQL / AWS, and any modern Java frameworks, REST APIs, and relational databases.
• Deep understanding of code release, deployment orchestration/rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
• Experience with public cloud infrastructure.
• Excellent verbal and written communication skills and ability to work with stakeholders across disciplines.
• Understanding of blockchain fundamentals and distributed ledger technologies.
• Familiarity with digital assets across major chains (Bitcoin, Ethereum, etc.).
• Hands-on experience with smart contracts is a plus.
• Familiarity with custody, settlement, and clearing of crypto transactions.
• Experience with security and best practices for wallet management.
• Exposure to crypto trading platforms, market data, and DeFi protocols.
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage).
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions.
• Prior work in or collaboration with crypto-native companies or fintechs.
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services.

 What You’ll Be Part Of

At iSpot.tv, we deal with BIG data, operating in a high-scale AWS environment with thousands of servers processing massive streams of media metadata. As a Senior SDE, you are a foundational pillar of our engineering team. You don't just write code; you own entire domains, drive scalable solutions, and act as a "go-to" expert.

We are currently looking for an AI-native engineer—someone who views AI not as a novelty, but as a core component of their development lifecycle—to help lead our mission-critical data evolution, including our strategic migration from Redshift to Snowflake.

 Your Impact

1. Technical Excellence & Domain Ownership

• Coding & Debugging: You will design domains with testability and multiple teams in mind, creating extensible and shareable codebases. You are expected to provide prescriptive code reviews that suggest more acceptable code patterns and contribute to company-wide style guidelines.
• System Modernization: You will lead efforts to upgrade legacy systems, refactoring technical debt into scalable, modern architectures, including x-region database migrations and moving to EKS.
• Quality & Release: You will maintain a high standard of quality, setting the example for the team. This involves developing the architecture for our automation systems and expertly debugging complex issues within the CI/CD pipeline. You will be responsible for implementing secure deployment strategies, especially for large-scale, high-risk projects.

2. AI-Driven Productivity & Innovation

• AI-First Mindset: You are expected to be "AI-native." You will actively explore and learn about AI technologies that enhance the efficiency of the entire team’s work.
• Leading Adoption: You don't just use AI; you "create space" for teammates to improve their AI tooling through pairing, providing demos, and writing documentation.
• Creative Problem Solving: You are a pioneer in critical technologies, bringing creative solutions to complex, large-scale projects and ensuring your contributions can be extended far into the future.

3. Operational Excellence & Data Strategy

• Data-Driven RCA: You will propose and implement viable domain measurement solutions. You’ll play a lead role in researching external solutions and leading root cause analysis (RCA) for complex, multi-domain incidents.
• Operational Efficiency & Toil Reduction: You are expected to proactively improve the current state of operations by identifying and reducing toil. You will apply a "Platform Engineering" mindset to automate repetitive manual tasks, ensuring the team remains focused on high-value engineering.
• Scalability & Influence: You will build internal networks to improve organizational speed and the quality of technology solutions, removing obstacles for the team as they arise. You are the "go-to" person for the team, identifying trends and introducing broad solutions to address systemic issues.
• Cost-Conscious Engineering: You will drive a mature cost-optimization strategy, ensuring that architectural decisions and cloud resource utilization are both performant and cost-efficient. You are expected to balance technical excellence with business value, treating cost-consciousness as a core pillar of system reliability.

4. Leadership & Collaboration

• Strategic Alignment: You routinely work cross-functionally to align partners and stakeholders with the project vision and strategy.
• Mentorship: You mentor less experienced team members, ensuring your communication promotes clarity and inspires action. You onboard and coach other engineers in adopting an AI-first mindset, focusing on low-risk strategies.
• Conflict Resolution: You are adept at handling personal conflicts within the team and navigating ambiguity to reach strategic milestones.

 What You Bring

• Experience: Significant experience developing software for shareable features across multiple engineering projects. Experience leading small-to-mid-sized technical initiatives is required.
• Architectural Leadership: Proven ability to make high-level architectural decisions, including redesigning legacy services to ensure they are highly reliable and operable. You follow industry best practices for high-availability API design and the streamlining of complex database operations.
• Platform Engineering: Hands-on experience with Platform Engineering principles, focusing on internal developer experience, infrastructure abstraction, and building self-service capabilities for engineering teams.
• Cloud Native: Expert knowledge of AWS (S3, Lambda, EC2, IAM).
• Tech Required: Java, Spring Boot, MySQL, RabbitMQ (or similar message broker), Kubernetes/EKS, Docker, CI/CD pipelines.
• Tech Preferred: Redshift, Helm, Terraform, Gradle, Groovy.
  • Bonus: Proven experience or a deep architectural understanding of migrating data workloads from Redshift to Snowflake.
• AI Native: Experience using AI coding assistants and LLMs to accelerate development (e.g., Kiro, Gemini, Copilot, Cursor, or similar).
• Soft Skills: Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership). Excellent problem-solving and analytical skills.

 Preferred Qualifications

• Experience in Ad-Tech or high-throughput "Big Data" processing environments.
• Experience with Infrastructure as Code (Terraform) and CI/CD concepts (CircleCI).

A track record of identifying trends in incidents and introducing broad solutions to address them.

Target cash compensation range: $136,100 - $170,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Hybrid

What You’ll Be Part Of

At iSpot.tv, we process massive streams of media metadata in a high-scale AWS environment. As an SDE II, you have moved past foundational learning and are now a competent, independent contributor. You are responsible for delivering high-quality features that power our industry-leading measurement and attribution products.

We are looking for an AI-native engineer—someone who instinctively uses AI to move faster and write better code. You will be a key player in our modern engineering culture, helping us maintain our "source-of-truth" data foundation while supporting major initiatives like our strategic migration to Snowflake.

Your Impact

1. Technical Excellence & Domain Ownership

• Coding & Debugging: You are competent in programming and debugging across multiple components and environments. You will independently own and deliver features, writing high-quality code that includes monitoring, metrics, and logging as standard practice.
• Testing & Quality: You author and own the testing plan for your features, considering product requirements and edge cases. You’ll perform various test types (unit, component, integration, E2E) and are developing the skills to identify patterns in test results to differentiate between application bugs and environment issues.
• Code Reviews: You actively participate in code reviews, following team guidelines and best practices to ensure the collective codebase remains healthy and maintainable.

2. AI-Driven Productivity & Efficiency

• AI-First Workflow: You independently use AI tools (e.g., Cursor, Copilot, Gemini) to improve the speed and quality of your tasks. This includes using AI for code understanding, self-code reviews, and ramping up quickly in new domains or languages.
• Critical Evaluation: You don't blindly copy-paste. You critically evaluate AI-generated output to ensure its correctness, security, and alignment with iSpot standards before relying on it.
• Continuous Improvement: You identify enhancements or efficiencies in your work assignments, using AI to automate repetitive tasks so you can focus on solving complex logic.

3. Operational Excellence & Data Strategy

• Incident Management: You participate in the on-call rotation and will contribute to defining on-call expectations. You are responsible for promptly investigating test failures and production alerts. You are also developing the ability to perform Root Cause Analysis (RCA) in common areas (code, technology, and incidents) with limited guidance.
• Scalability: You will build internal networks to improve organizational speed and improve the quality of technology solutions, removing obstacles for the team as they arise.
• Data Migration Support: You will support the senior team in our Redshift to Snowflake evolution by assisting with data validation, schema updates, and performance monitoring.

4. Collaboration & Growth

• Independence: You complete most assignments independently with little to no supervision, knowing exactly when and how to escalate issues to your manager or senior leads.
• Team Contribution: You help onboard and train new team members and are proactive in building trust through excellent follow-through and integrity.
• Communication: You communicate clearly and concisely, sharing opportunities to improve deliverables or work processes with the broader team.

What You Bring

• Experience: Significant experience (typically 2–5 years) developing software features for business or technology solutions.
• Java Proficiency: Strong experience with Java and Spring Boot in a microservices environment.
• Cloud Foundation: Solid understanding of AWS (S3, Lambda, EC2) and containerization (Docker).
• Tech Required: Java, Spring Boot, MySQL, Git, and familiarity with CI/CD pipelines.
• Tech Preferred: Experience with message brokers (RabbitMQ/SQS), Kubernetes (EKS), Docker, and SQL optimization.
• AI Native: Demonstrated ability to use LLMs and AI coding assistants to accelerate your development lifecycle.
• Mindset: A results-oriented drive to meet high standards and a "persistent/tenacious" approach to solving technical hurdles.
• Soft Skills: Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership). Excellent problem-solving and analytical skills.

Preferred Qualifications

Experience in Ad-Tech or high-throughput "Big Data" processing environments.

Target cash compensation range: $104,700 - 120,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote

About the Role

We’re looking for a Director of Engineering to lead our Intelligent Messaging group—one of the most critical and high-impact areas at Attentive. This team powers the systems behind billions of personalized messages (SMS, email, push) sent every month, helping the world’s leading brands connect with consumers in smarter, more meaningful ways.

At the core of this is AI, machine learning, and real-time data. This allows us to drive personalization at massive scale - turning every message into an opportunity to engage, convert, and build long-term customer relationships.

In this role, you’ll lead multiple teams and play a key role in defining how AI shapes the future of messaging at Attentive. You’ll partner closely with Product and Engineering leadership to build and scale systems that are fast, reliable, and deeply intelligent. You’ll stay close to the work - guiding architecture, unblocking complex problems, and stepping in when it matters - while also building strong teams and developing great managers.

This is a role for someone who likes to operate deep in the systems, close to the people, and aligned with the business. You’ll own the technical direction of a high-scale, high-uptime platform and help us push what’s possible as we continue to grow.

This is a hybrid role based in NYC, with occasional travel to our SF office.

What You’ll Accomplish

• You’ll own the delivery of cutting-edge, AI-powered consumer messaging experiences used by millions
• You’ll manage and evolve a multi-team organization, build on our great culture, and set a high bar for engineering excellence
• You'll oversee the technical strategy in multiple domains, supporting various layers of our messaging applications by using existing and emerging technology platforms
• You’ll accelerate our engineering velocity using cutting-edge agentic and LLM tooling, while successfully managing safety and stability
• You’lll collaborate with product, ML, design, and data science to shape the roadmap - not just execute on it
• You’ll work directly with partner teams and stakeholders in the platform, go-to-market, and customer success organizations

Your Expertise

• Above all else, you are technical and love to dive deep to understand architecture, code, and infrastructure. This is the most critical attribute for success at Attentive.
• You have 10+ years of industry experience, including managing teams of 30+ engineers, and at least 2 years managing managers. From a technical perspective, you have 8+ years of experience in software engineering roles, ideally reaching staff level as an individual contributor.
• You embrace agentic workflows, and understand the benefits, complexity and risks of the fast-moving AI ecosystem
• You care about software quality and have a track record of building reliable, high-uptime systems, particularly in data-intensive environments
• You’re comfortable operating in fast-moving, high growth environments, translating business needs into the right levels of implementation

What We Use

• Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $250,000 - $350,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-EF1

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

About the Role
The Onsite Customer Growth team builds the features that help Attentive’s customers grow directly on their websites. Our mission is to accelerate list growth and improve conversion by delivering creative, high performing onsite experiences powered by strong engineering and intelligent AI driven optimization.

What You’ll Accomplish

• Lead, mentor, and grow a high performing engineering team responsible for building the backend systems powering onsite customer growth products
• Set the technical vision and roadmap for backend services, APIs, and data driven systems that power personalized onsite experiences at scale
• Partner closely with AI, data, and product teams to develop intelligent capabilities that improve performance and user experience
• Ensure the reliability, scalability, and performance of the systems that support customer growth and real time user interactions
• Drive best practices in design discussions, code reviews, architecture decision making, and operational excellence
• Foster a learning oriented team culture that encourages collaboration, curiosity, ownership, and continuous improvement
• Own delivery of key product initiatives, balancing long term platform investments with near term business objectives
• Promote clean, maintainable, well tested code and high engineering standards across the team

Your Expertise

• 7+ years of professional backend software engineering experience, including at least two years managing or leading engineers
• Strong proficiency in one or more modern programming languages such as Java, or Typescript
• Experience designing and operating distributed systems, APIs, and microservice architectures at scale
• Hands on familiarity with cloud platforms such as AWS and containerization technologies such as Docker or Kubernetes
• Deep understanding of databases, messaging systems, or streaming technologies such as PostgreSQL, Redis, or Kafka
• Track record of building reliable, scalable, high throughput systems that support customer facing products
• Demonstrated ability to coach and develop engineers, drive team alignment, and create an inclusive, collaborative engineering environment
• Strong communication and cross functional partnership skills, with the ability to work effectively with AI, data, product, and design teams
• A mindset rooted in ownership, curiosity, and a passion for building meaningful systems that drive measurable customer impact

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $193,000 - $250,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-MN1

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

Flex is looking for a Staff level Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 7+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $200,000—$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000—$212,000 USD

About the job

Flex is looking for a Software Engineer who will be responsible for implementing the various backend systems that support all business features.

In this role, you will be part of the backend engineer team, responsible for the services and integrations that power our products, such as Payment, Billing, Identity, partner integration, etc. You’ll be designing, developing, testing, and scaling systems needed to deliver great user and partner experiences.

You’ll work closely with your product, design and engineering peers to solve our users' most pressing problems around rent payment. You’ll roll out changes to our customers in an agile manner with a delivery cadence that favors small, frequent iterations. The ideal candidate will be comfortable leading scoping, design and implementation for APIs they build and can drive their production rollouts to completion with minimum oversight.

A minimum of 4 years of experience with Java is required for this position.

Minimum Qualifications

• Minimum of 6 years experience in software engineering
• Minimum of 4 years experience with Java
• Ability to work on a globally-distributed team with a high degree of ownership
• Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery
• Ability to grow in a fast-paced and dynamic environment that will challenge you to always bring your best
• Experience building robust, fault-tolerant systems with multiple external dependencies
• Experience designing, building, and maintaining data pipelines
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier 1 (NYC/SF/Seattle): $172,000—$212,000 USD
• Tier 2: $154,800—$193,500USD
• Tier 3: $146,200—$182,740 USD

#LI-Remote

Flex is looking for an Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 5+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

About the role

Flex is looking for a Senior Software Engineer to join our Risk Engineering team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.

The Risk Engineering team is dedicated to mitigating both credit risk, fraud risk, and risk for launching new products. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.

Following are some projects/systems in Risk Platform you will have opportunities to work with:

• Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI.
• Event data stream ingestion which supports near real-time fraud rules setup. 
• Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud. 

What You'll Do:

• Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex.
• Design and develop 24/7 high-scale APIs and distributed systems. The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework. 
• Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms 

Qualifications

Minimum Qualifications

• Must-have: Experience working in a risk engineering team, specializing in rules engine architecture or risk/credit/fraud systems.
• 6+ years of professional software development experience.
• 5+ years of hands-on experience with Java.
• 2+ years of experience with React or React Native.
• 2+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collabo

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

About the Role:

SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel)

CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them.

You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team’s Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Build scalable, end-to-end solutions that power modern digital platforms in financial services

The Role
As a Full Stack Developer, you will design, develop, and deliver robust applications across both front-end and back-end systems. Working within collaborative engineering pods, you will contribute across the full software development lifecycle—analyzing requirements, identifying system improvements, and delivering high-quality, scalable solutions.

What You’ll Do

• Develop full stack applications using Java, Spring Boot, AngularJS, and SQL
• Collaborate within engineering pods, contributing to shared delivery outcomes and ownership
• Analyze information needs, systems flow, and data usage to inform technical design
• Build and integrate APIs (REST, SOAP, Microservices) across distributed systems
• Refactor and optimize complex codebases to improve performance, scalability, and maintainability

What We’re Looking For

• 10+ years of experience in full stack development with Java, AngularJS, Spring Boot, and SQL
• Solid understanding of software development lifecycle and engineering best practices
• Experience working with APIs and microservices-based architectures
• Familiarity with containerization and distributed computing concepts
• Ability to contribute to complex coding and refactoring scenarios

Bonus Points For

• Experience with Node.js in full stack or integrated environments
• Exposure to cloud platforms and modern DevOps practices
• Experience working in Agile delivery environments
• Background in financial services or regulated industries
• Experience in consulting or client-facing environments

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Benefits (US)

• Comprehensive health, dental, and vision insurance
• 401(k) with employer contributions
• Generous paid time off and flexible holiday options
• Learning and development programs, including certifications
• Employee wellbeing and assistance programs

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

At Navan, we believe in-person connections fuel innovation. Our Global Talent organization is the backbone of this mission, providing the infrastructure that allows our business to scale. We are looking for a Staff Technical Recruiter—a strategic talent architect and technical scout who does more than navigate the engineering market; they help build the teams that define the future of travel and expense tech.

As a Senior-level member, within recruiting, you will manage a complex pipeline of high-bar technical talent across engineering, acting as a bridge between Navan’s ambitious product roadmap and the global developer community.

What You’ll Do

• Strategic Advisory & Leadership: Act as a high-impact partner to senior leaders, proactively advising on senior-level hiring strategies. You don’t just execute; you influence buy-in by leveraging deep business context and data-driven insights.
• Organizational Architecture: Identify, define, and design your own goals and KPIs. You will address department-level process breakdowns and build new frameworks that prioritize diversity recruiting outcomes and long-term scalability.
• Full-Cycle Excellence & Accountability: Manage a complex portfolio of senior Engineering leaders taking full ownership of outcomes and holding both yourself and hiring teams accountable for the integrity of the process.
• Operational Innovation: Experiment with new ideas and sourcing techniques to test efficacy. You’ll lead strategic initiatives that create meaningful change, ensuring the team has the tools and training to work autonomously and successfully.
• Team Amplification & Mentorship: Responsible for the health and development of the recruiting team. You will provide guidance, share best practices, and deliver authentic, impactful feedback to peers and leadership to elevate the collective "Navan Way."
• Stable Partnership: Serve as a grounded, optimistic leader during times of uncertainty. You’ll navigate complexity comfortably, helping the team build courage and focus on immediate wins while planning for the near future.

What We’re Looking For

• Technical Literacy: 8-12+ years of full-cycle technical software engineering recruiting experience, specifically focused on back-end, front-end, mobile roles. You should be able to explain the difference between Micro-services and Monoliths, or why a candidate’s experience with Java, Kotlin, Spring Boot is relevant to our stack or hold a conversation about distributed systems, JVM performance, or frontend architecture.
• Ownership Mindset: You don't wait for permission. You identify bottlenecks, propose solutions, and execute with a sense of urgency.
• The Startup Edge: Experience in a high-growth environment where speed and quality are equally weighted. You thrive in "build mode."
• Analytical Influence: You use data (funnel conversion, technical pass rates, offer acceptance) to tell a story that helps Engineering leadership optimize their hiring time.
• Strategic Scouting: You treat sourcing like a science and closing like an art. You know how to find the "hidden gems" and tell a story that makes Navan their only choice.
• Operational Grit: You are a power user of the modern recruiting stack (Greenhouse, GEM, LinkedIn) with a passion for discovering new AI-driven sourcing tools.

The Role

We are seeking a Senior Staff Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members.  Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.  

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key responsibilities

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
• Shape the technical architecture across SoFi’s crypto stack — wallets, custody, trading, and beyond.
• Drive new ideas and technical strategies that push our crypto offerings forward.
• Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
• Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
• Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
• Mentor engineers and contribute to a culture of technical growth and curiosity.
• Lead discussions, reviews, and decisions across teams and with senior technical leadership.
• Make smart, pragmatic decisions that balance speed and quality.
• Stay curious — constantly learning new tools, protocols, and patterns in the evolving crypto space.
• Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.

What you'll need

• 8+ years programming experience, with significant experience in modern day languages and familiarity with AI tools.
• Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases and mobile/web applications
• Expertise with Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of code release, deployment orchestration / rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
• Experience with public cloud infrastructure
• Excellent verbal and written communication skills and working with stakeholders across disciplines
• Understanding of blockchain fundamentals and distributed ledger technologies
• Familiarity with digital assets across major chains (Bitcoin, Etherium, …)
• Hands-on experience with smart contracts is a plus
• Familiarity with custody, settlement, and clearing of crypto transactions
• Experience with security and best practices for wallet management
• Exposure to crypto trading platforms, market data, and DeFi protocols
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions
• Prior work in or collaboration with crypto-native companies or fintechs
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services

The Role

We are currently seeking a hands-on Software Engineer with a strong Java background to join our Order Management System (OMS) team in Trading!

We are building a high-performance Trading Order Lifecycle Management system designed to bridge the gap between investment intent and market execution. Our platform serves as the mission-critical link between our portfolio managers and executing brokers, ensuring every trade is executed, allocated, and reported with absolute precision. 

We’re looking for a detail-oriented, hands-on Software Engineer who is passionate about technology and high-quality engineering processes. You will work closely with our product and design teams to deliver impactful business outcomes using Agile methodologies and AI-assisted development to amplify delivery.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $107,000 - $168,000 (base salary) + bonus + equity + benefits. 

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• System Development: Design, develop, and deploy high-quality Java applications (using Spring Boot or Quarkus) with a focus on microservices and distributed application development
• Trade Orchestration: Build and maintain the logic for the trade order life cycle, ensuring successful connection to executing brokers and accurate post-trade allocations
• Data & Messaging: Implement resilient integration patterns using Kafka for event streaming and manage data across AWS cloud infrastructure
• Integrations: Support and scale inbound/outbound connectivity via FIX, REST, and File-based interfaces
• Operational Excellence: Participate in the full Agile SDLC, including code reviews, automated testing, and providing L3 support for the platform
• Collaboration: Work in partnership with engineering partners and platform users to identify requirements and map out solutions for challenging technology and workflow problems

Who You Are

• Education: B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience)
• Experience: 4+ years of software engineering experience with a focus on backend distributed systems
• Technical Stack: Proficient in Java and Spring Boot (experience with Quarkus is a plus)
• Cloud & Data: Hands-on experience with AWS and messaging platforms like Kafka
• Database Knowledge: Experience with databases, SQL, NoSQL, and data architectures
• Modern Workflow: Comfortable with AI-assisted development tools and a bias toward smart automation
• Ownership: A strong ownership mentality with the ability to provide L3 support and solve complex analytical problems
• Soft Skills: A dedicated team player with robust analytical abilities and a passion for experimentation and iteration
• [Preferred] Experience in Trading or Financial Services domains
• [Preferred] Practical knowledge of the FIX protocol
• [Preferred] Familiarity with frontend technologies (React) to support UI-related backend requirements

We are seeking a highly skilled and experienced Technical AI Project Manager to lead and oversee the planning, execution, and successful delivery of software and AI development projects. The ideal candidate will have a strong background in managing multiple complex software development initiatives, ensuring they are completed on time, within scope, and on budget. A strong technical foundation, exceptional organizational skills, and the capacity to communicate effectively across technical and non-technical teams are essential for this position.

Department 

The Technology Division at Success Academy is the chief provider of technology infrastructure, application services, security, and support. The Division partners with teams across the organization to equip students, teachers, leaders, and staff with the innovative technology tools and know-how necessary to achieve academic and operational excellence.

The Technical AI Project Manager will be a key contributor to our mission of driving innovation across the organization. This role will be responsible for building and managing end-to-end project plans, monitoring and reporting progress, effectively managing scope and dependencies, proactively mitigating risks, and ensuring that projects are delivered within time, cost, and quality specifications. This role will be part of a highly collaborative team of professionals with a wide range of skills, including DevOps engineering, data engineering, software engineering, RPA engineering, and project management.

About the Role

• Acts as project lead, managing cross-functional teams with responsibilities for project schedule and performance.
• Ensures that business outcomes are defined, approved, and delivered. Be responsible for benefits realization and ensure that benefits are delivered in the best way possible.
• Supports strong governance, aligned with the overall governance, and ensures that timely decisions are taken.
• Communicates regularly and effectively the project roadmap and milestones with project executive stakeholders.
• Directly contributes to project definition, development, and/or enhancement efforts, including cost management/avoidance, schedule estimation and tracking, contract performance management, risk management, requirements analysis, and quality assurance activities.
• Performs analysis of business and user needs, documentation of requirements, and translation into proper requirements specifications.
• Utilizes expert communication skills needed to direct skilled technical resources and report on the technical progress, issues, and problem areas, as well as write and review technical documents.
• Answers technical questions regarding products and services and may take part in putting together proposals, configurations, and product plans.
• Prepares affected business areas for transition to a new way of working, potentially implementing new business processes.

Responsibilities

• Lead the end-to-end planning, execution, and delivery of software development and AI/ML projects.
• Collaborate with stakeholders to define project scope, goals, and deliverables that support business objectives, specifically translating business needs into technical requirements for software and AI solutions.
• Create and maintain detailed project plans, schedules, and roadmaps, including technical milestones for development, testing, and deployment phases.
• Monitor and track project progress, adjusting plans as necessary to ensure technical milestones are met and dependencies are managed effectively.
• Identify and mitigate technical risks (e.g., scalability issues, data quality, model performance, integration challenges) and resolve issues to keep projects on track.
• Facilitate communication and collaboration between cross-functional teams (software engineering, data science, AI/ML engineering, design, QA, product).
• Provide regular project status updates to stakeholders and upper management, clearly articulating technical progress and potential roadblocks.
• Manage project budgets, timelines, and resource allocations for technical teams.
• Ensure that all project documentation, including technical specifications, architecture diagrams, and model documentation, is complete, up-to-date, and accessible.
• Foster an agile development environment, leading sprint planning, daily standups, and retrospectives, with a focus on technical sprint goals and deliverables.
• Ensure that the development process aligns with best practices in software engineering, data governance, and responsible AI development.
• Drive continuous improvement of project management processes and tools, integrating best practices for technical project delivery.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Business Management, or a related field.
• 5+ years of experience in software project management, ideally in a mid-to-senior capacity, with a proven track record of delivering complex technical projects.
• Proven experience managing full software development life cycles (SDLC) from concept to deployment.
• Strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall).
• PMP, PRINCE2, or Scrum Master certification preferred.
• Experience working with tools such as Jira, Asana, Trello, Confluence, Monday.com, or similar project management software.
• Strong business analysis skills, with a focus on working with a diverse group of users to understand and solve problems.
• Ability to manage multiple projects simultaneously and prioritize tasks in a fast-paced, technically demanding environment.
• Strong problem-solving skills with the ability to make informed technical decisions under pressure.
• Proficiency in budgeting, forecasting, and resource management for engineering teams.
• Experience working with remote teams and managing distributed projects is a plus.
• Familiarity with software development practices and technical concepts, including cloud infrastructure, APIs, and version control (e.g., Git).

Desired Skills

• Experience in managing projects in cloud environments (AWS, Azure, GCP), including an understanding of cloud-native services for compute, storage, and data.
• Knowledge of DevOps practices and CI/CD pipelines, with an understanding of how to optimize release cycles for software and AI models.
• Familiarity with software testing and quality assurance processes, including automated testing and performance testing.
• Strong organizational skills with attention to detail, particularly in managing complex technical dependencies.
• Any candidate who has been part of the development team and has spent time as a developer is ideal for this role and is desired.

Technical Skills for Software Development

• Understanding of common programming languages such as Python, Java, JavaScript, C#, or Go.
• Familiarity with database technologies (e.g., SQL, PostgreSQL, MongoDB, Cassandra).
• Knowledge of front-end and back-end frameworks (e.g., React, Angular, Node.js, Spring Boot, Django, Flask).
• Experience with API design, development, and integration (RESTful, GraphQL).
• Understanding of microservices architecture and distributed systems.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Knowledge of security best practices in software development (e.g., OWASP Top 10).

Technical Skills for AI Development

• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with AWS Bedrock and its available foundation model.
• Understanding of data science concepts, including statistical modeling, data preprocessing, feature engineering, and model evaluation metrics.
• Experience with data pipelines and ETL processes for machine learning (e.g., Apache Spark, Kafka, Talend).
• Knowledge of MLOps practices for deploying, monitoring, and managing machine learning models in production.
• Familiarity with natural language processing (NLP) or computer vision (CV) concepts if relevant to the projects.
• Understanding of responsible AI principles, including fairness, interpretability, and privacy.
• Experience with big data technologies and data warehousing solutions.

Job Title: Senior Java Software Engineer – Financial Services

Location: NYC, New York (Onsite)

About the Role:

We’re seeking a highly skilled Senior Java Software Engineer to join our dynamic team working on complex financial service systems that serve millions of customers worldwide. You will play a critical role across enterprise architecture, risk technology, and investment banking (IB)-facing applications. This role demands strong expertise in core Java technologies, scalable distributed systems, and modern cloud platforms.

Key Responsibilities:

• Design, develop, and maintain high-performance, scalable financial applications using Core Java, Spring Boot, and Hibernate.
• Build and integrate RESTful APIs and microservices within distributed systems architecture.
• Collaborate with cross-functional teams practicing Agile methodologies to deliver high-quality software continuously using CI/CD pipelines and DevOps tools.
• Implement messaging solutions using Kafka or other enterprise messaging frameworks to handle real-time data streams.
• Optimize application performance, ensure system scalability and high availability in a demanding production environment.
• Drive best practices around automated testing (TDD/BDD), including JUnit and Cucumber test frameworks.
• Contribute to architectural decisions focusing on robustness and risk mitigation in enterprise financial systems.
• Leverage cloud services (AWS, Azure, or GCP) to deploy and manage resilient cloud-native applications.

Required Skills & Experience:

• Strong expertise in Core Java (Java 8+) with solid understanding of JVM internals.
• Extensive experience with Spring Boot, Hibernate ORM.
• Proven background designing and developing REST APIs and microservices architectures.
• Hands-on experience with Kafka or similar event streaming platforms.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, including deployment and monitoring.
• Adept in Agile software delivery and CI/CD automation.
• Strong knowledge of TDD/BDD with JUnit and Cucumber frameworks.
• Experience with performance tuning and ensuring high availability in large scale systems.
• Background in financial services technology, risk systems, or investment banking applications is highly advantageous.
• Full-working proficiency in English (written and verbal)

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience with containerization (Docker, Kubernetes) and cloud-native architectures.

The Streaming & Media Engineering Team at Major League Baseball is seeking a Senior Software Engineer to join our New York, NY office. In this role, you will help build the next generation of platforms powering world-class fan experiences across MLB’s streaming products, including live and on-demand video processing, live content insertion, and custom orchestration software that integrates with cutting-edge broadcast equipment and operations. As a key contributor, you will design, build, and operate highly reliable distributed systems within MLB’s streaming ecosystem, while writing hands-on code, influencing technical direction, and playing an active role in design and code reviews. You will also collaborate closely with cross-functional partners across engineering, product, and operations.

Responsibilities

• Design, implement, and maintain scalable, cloud-native services that power live and VOD streaming workflows
• Decompose complex systems into well-defined services, APIs, and modules
• Write clean, efficient, well-tested, and maintainable code
• Participate in architecture/design reviews and provide thoughtful technical feedback
• Actively participate in Agile ceremonies (planning, stand-ups, retros, postmortems)
• Contribute to operational excellence through monitoring, alerting, and on-call support
• Mentor early-career engineers and promote engineering best practices
• Stay current with emerging technologies and industry trends

Qualifications & Skills

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience
• 5+ years of professional software development experience building and supporting production systems
• Strong problem-solving skills and a track record of delivering high-quality solutions
• Experience with modern software development practices: Agile, source control, CI/CD, testing, and code reviews
• Strong experience with Core Java (or Kotlin) and Spring/Spring Boot
• Experience with messaging systems and relational/non-relational databases
• Experience with JavaScript (React and/or Node.js)
• Hands-on experience with cloud platforms (GCP and/or AWS)
• Experience with cloud-native technologies: Kubernetes, Docker, Helm, Terraform
• Experience building distributed, event-driven, non-blocking systems (e.g., async I/O, virtual threads, reactive patterns)

Bonus / Nice-to-Have Skills (AI / ML)

• Experience with Generative AI / ML APIs (e.g., LLMs, embeddings, speech-to-text, video/audio analysis) and common AI-powered workflows
• Understanding of prompt engineering and model evaluation, with interest in applying AI/ML to media and automation
• Exposure to live and/or VOD streaming media systems, including familiarity with HLS, FFmpeg, and SCTE standards.
• Experience with Google Ad Manager (GAM) and ad decisioning / ad insertion workflows

Salary Range: $150,000 - $185,000 (Base Salary + Bonus)

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As a Staff Software Architect within the Product organization, you will be responsible for architecting and delivering the next suite of services that power the PitchBook platform. You will be essential in guiding one or more technical teams to build exceptional solutions relied upon and used by thousands of PitchBook customers every day and work with PitchBook professionals around the world with the collective goal of delighting our customers and growing our business.

The team will rely on your broad and deep experience in building and delivering comprehensive cloud solutions and full understanding of the team’s business domain to shape principles and practices and capture just-in-time decisions based on trade-off analysis. With your strong analytical skills, you’ll be able to break down abstract and complex problems into smaller problems and apply Domain Driven Design approaches such as identifying bounded contexts and establishing a decomposition process. You will be expected to devise solutions based on limited information and precedent to find creative ways to tackle challenges. It is essential that you will be able to interpret, assess, and resolve a wide range of issues and be able to select the right course of action.

You will collaborate with external and internal stakeholders of different roles and backgrounds and who may have varying degrees of understanding of the domain. You may need to adapt your style of communication based on the audience you are interacting with and will be relied on to influence decisions to build optimal solutions to complex challenges. Additionally, as a technical expert in a broad set of domains, you will be expected to engage actively in promoting architecture guidelines, principles, and practices across team(s) and be a driver for consistency and alignment for cross cutting concerns using influence and effective communication with technical and non-technical stakeholders.

Lastly, you exhibit a growth mindset, are willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose. If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

Primary Job Responsibilities:

• Architect, design, develop, and maintain components of PitchBook’s services including backend with aspects of front-end related to architecture (micro front-end patterns). Hands-on development will be part of the responsibilities
• Ensure qualities/non-functional requirements of the platforms and products are defined, measurable, and continuously evaluated to deliver the right product to our users
• Document architecture evolutions (current state, future state, phasing) and communicate architecture and elaborate with teams
• Implement well-designed, testable, and efficient code that meets product requirements, coding standards, performance, scalability, reliability, and the organization’s goals and principles
• Collaborate with other engineers, product managers, and other internal stakeholders in an Agile environment
• Provide technical guidance and perform architectural reviews with team members
• Design and deliver on end-to-end initiatives with little to no guidance
• Define and participate in processes that improve products using return on experience, root cause analysis of incidents
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

Skills and Qualifications:

• Degree in Computer Science, Information Systems, or a similar field
• 8+ years of experience in a Software Development or Engineering role with a Bachelor's Degree, 6+ years of experience in a Software Development or Engineering role with a Master's degree, or 3+ years of experience in a Software Development or Engineering role with a PhD
• 4+ years of experience with Java or a similar object-oriented language
• 2+ years of experience developing microservices
• Experienced in Service-Oriented & Microservices Architecture, Cloud Architecture, Domain Driven Design (DDD), Clean Architecture, and Hexagonal Architecture
• Fluent in identifying and applying architecture patterns and designing RESTful API
• Experience working on middleware, platform, or system of systems
• Experienced with web technologies and standards (e.g., JSON, JWT)
• Experienced with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experienced in Spring Boot/Spring Framework
• Experienced with Container orchestration software (e.g., Kubernetes)
• Experience with Agentic AI architecture: Proven track record of designing systems using LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or equivalent) for complex reasoning tasks
• Experience designing standard interfaces and integrations with Model Context Protocol (MCP) that allow AI models and agents to securely and efficiently access structured and unstructured data
• Demonstrated experience designing AI-native data backends, including schema design oriented for LLM consumption
• Experienced in using AI for productivity and efficiency (GitHub Copilot, Claude, Gemini CLI, or other similar technology)
• Highly experienced working within development teams in an Agile environment
• Ability to handle a project through the entire software development lifecycle, end to end
• Demonstrate ability to lead and/or provide guidance to junior peers across multiple teams
• Excellent written and verbal communication skills
• Strong problem-solving ability
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $235,000-$280,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

Build scalable, end-to-end solutions that power modern digital platforms in financial services

The Role
As a Full Stack Developer, you will design, develop, and deliver robust applications across both front-end and back-end systems. Working within collaborative engineering pods, you will contribute across the full software development lifecycle—analyzing requirements, identifying system improvements, and delivering high-quality, scalable solutions.

What You’ll Do

• Develop full stack applications using Java, Spring Boot, AngularJS, and SQL
• Collaborate within engineering pods, contributing to shared delivery outcomes and ownership
• Analyze information needs, systems flow, and data usage to inform technical design
• Build and integrate APIs (REST, SOAP, Microservices) across distributed systems
• Refactor and optimize complex codebases to improve performance, scalability, and maintainability

What We’re Looking For

• 10+ years of experience in full stack development with Java, AngularJS, Spring Boot, and SQL
• Solid understanding of software development lifecycle and engineering best practices
• Experience working with APIs and microservices-based architectures
• Familiarity with containerization and distributed computing concepts
• Ability to contribute to complex coding and refactoring scenarios

Bonus Points For

• Experience with Node.js in full stack or integrated environments
• Exposure to cloud platforms and modern DevOps practices
• Experience working in Agile delivery environments
• Background in financial services or regulated industries
• Experience in consulting or client-facing environments

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Benefits (US)

• Comprehensive health, dental, and vision insurance
• 401(k) with employer contributions
• Generous paid time off and flexible holiday options
• Learning and development programs, including certifications
• Employee wellbeing and assistance programs

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Senior Engineering Manager

Location: McLean, VA,  New York, NY, or Richmond, VA

Work Environment: Hybrid:

Role Summary:

We are seeking an experienced and passionate Engineering Manager to lead our Risk Team, the group responsible for our core risk engine — the cornerstone of our platform. By combining data on global companies with signals from worldwide events, our Risk Team builds systems that transform massive volumes of raw data into actionable risk insights. These insights help our customers identify and mitigate potential risks in their suppliers and partners, driving smarter and safer business decisions.

As an Engineering Manager, you’ll guide a cross-functional team of backend, frontend, and data engineers to build reliable, scalable web applications and services that power our SaaS platform. You will play a key role in ensuring the quality, performance, and maintainability of our systems while helping your team deliver features quickly and effectively.

What You’ll Do:

• Own Exiger’s Risk function end-to-end
• Lead, mentor, and grow a team of ~10 engineers (frontend, backend, and data), fostering a culture of ownership, innovation, and continuous improvement
• Drive delivery of new features across multiple services and systems, ensuring scalable, secure, and high-quality releases
• Collaborate cross-functionally with Product Management, Data Science, Infrastructure, as well as other dev teams to align priorities and deliver business value
• Oversee architecture and design decisions, helping the team make tradeoffs between performance, scalability, and time-to-market
• Ensure reliability and observability across our microservices ecosystem, including production monitoring, alerting, and recovery
• Ensure operational excellence, managing the CI/CD lifecycle, testing, and deployments
• Scale systems and processes as the company grows—helping us transition from rapid development to sustainable, high-quality delivery at scale

What You Need:

• Unyielding sense of ownership and accountability – you care about your work and it shows
• 6+ years of hands-on engineering experience including strong background in backend systems or data-intensive applications
• 3+ years of engineering management experience leading software teams
• Complete understanding of cloud-native architectures, Kubernetes, and IAC
• Experience building and scaling mission-critical, API-first SaaS systems, balancing short-term delivery with long-term architectural vision
• Proven track record of mentorship and fostering growth of engineers at all levels
• Passion for data, analytics, and using technology to uncover meaningful insights
• Experience working at a rapidly evolving, PE-backed startup
• Bonus points for experience operating in an air-gapped FedRAMP or DOD I/L environment

Our Tech Stack:

• Core Platform: Java (21+) / Spring Boot; Python / Celery
• Data: MySQL, PostgreSQL, Snowflake
• Frontend: TypeScript / Angular
• Messaging: Kafka, RabbitMQ, Redis
• Infrastructure: Kubernetes via Helm and Argo CD; AWS via Terraform
• Testing: Testcontainers, WireMock, JUnit, Pytest, Cypress
• Observability: ELK, DataDog
• Architecture: Event-Driven Microservices

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off 
• Industry leading health, vision, and dental benefits
• Competitive compensation package 
• 16 weeks of fully paid parental leave 
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming 
• Purposeful career development programs with reimbursement provided for educational certifications

About the Role
Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

What You’ll Accomplish

• Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
• Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
• Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
• Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
• Continuously improve system reliability, performance, and engineering efficiency
• Contribute to technical direction and best practices across the ML engineering team
• Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
• Thrive in a high-impact, fast-paced, late-stage startup environment

Your Expertise

• 6+ years of professional experience building production machine-learning software systems
• Proven experience owning ML systems long enough to see the downstream impact of design decisions
• Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
• Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
• Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
• Experience collaborating with cross-functional teams to deliver ML-powered features
• Strong communication skills and a high sense of ownership

What We Use

• Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm
• Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis
• Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright
• ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-EF1

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

About the Role
Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

What You’ll Accomplish

• Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
• Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
• Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
• Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
• Continuously improve system reliability, performance, and engineering efficiency
• Contribute to technical direction and best practices across the ML engineering team
• Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
• Thrive in a high-impact, fast-paced, late-stage startup environment

Your Expertise

• 6+ years of professional experience building production machine-learning software systems
• Proven experience owning ML systems long enough to see the downstream impact of design decisions
• Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
• Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
• Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
• Experience collaborating with cross-functional teams to deliver ML-powered features
• Strong communication skills and a high sense of ownership

What We Use

• Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm
• Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis
• Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright
• ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-EF1

By applying for this position, your data will be processed as per Attentive's Privacy Policy.