Senior Software Engineer (Backend+AI)

Key Responsibilities:

● Work closely with product managers, designers, frontend developers, and other

cross-functional teams to ensure the seamless integration and alignment of frontend and

backend technologies, driving cohesive and high-quality product delivery.

● Develop and implement coding standards and best practices for the backend team.

● Document technical specifications and procedures.

● Stay up-to-date with the latest backend technologies, trends, and best practices.

● Collaborate with other departments to identify and address backend-related issues.

● Conduct code reviews and ensure code quality and consistency across the backend team.

● Create technical documentation, ensuring clarity for future development and

maintenance.

Requirements;

● Experience: 4-6 years of hands-on experience in backend development, with a strong

background in product-based companies or startups.

● Education: Bachelor’s degree or above in Computer Science or a related field.

● Programming skills: Proficient in Python and software development principles, with a

focus on clean, maintainable code, and industry best practices. Experienced in unit

testing, AI-driven code reviews, version control with Git, CI/CD pipelines using GitHub

Actions, and integrating New Relic for logging and APM into backend systems.

● Database Development: Proficiency in developing and optimizing backend systems in

both relational and non-relational database environments, such as MySQL and NoSQL

databases.

● GraphQL: Proven experience in developing and managing robust GraphQL APIs,

preferably using Apollo Server. Ability to design type-safe GraphQL schemas and

resolvers, ensuring seamless integration and high performance.

● Cloud Platforms: Familiar with AWS and experienced in Docker containerization and

orchestrating containerized systems.

● System Architecture: Proficient in system design and architecture with experience in

developing multi-tenant platforms, including security implementation, user onboarding,

payment integration, and scalable architecture.

● Linux Systems: Familiarity with Linux systems is mandatory, including deployment and

management.

● Continuous Learning: Stay current with industry trends and emerging technologies to

influence architectural decisions and drive continuous improvement.

Benefits:

● Competitive salary.

● Health insurance.

● Casual dress code.

● Dynamic & Collaboration friendly office.

● Hybrid work schedule.

Industry

• IT Services and IT Consulting

Employment Type

Full-time

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

UKG is looking to hire a Lead Software Engineer to join our extremely talented Data Science team. As a Lead Software Engineer at UKG, you’ll be embedded on the Data Science team where you can work on the next generation AI Platform. You’ll get to work directly with other Engineers, Software Testers, Business Analysts, Product Managers, and Directors, all of whom make up the team. In this highly collaborative environment, you will have the opportunity to grow as a software engineer, and even help mentor others.

This position requires excellent object-oriented programming skills and knowledge of design patterns. They will be involved in the deployment of our AI Platform/Services solution on the cloud. The job requires you to be able to design, develop, troubleshoot, and debug complex software applications at the enterprise level. We are looking for a software engineer who is passionate about programming and truly enjoys what they do. The ideal candidate for the Python Engineer position is someone who has a can-do attitude and is an innovative thinker.

UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with Business Analysts and Software Testers, as well as work closely with other team members are key components for success in this position.

Primary Responsibilities:

• Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
• Engage in code reviews and training of team members.
• Support continuous deployment pipeline code.
• Situationally troubleshoot production issues alongside the support team.
• Continually research and recommend product improvements.
• Create and integrate features for our enterprise software solution using the latest Python technologies.
• Write web services, business objects, and other middle-tier framework using Python
• Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
• Leverage open-source and other technologies and languages outside of the Python platform.
• Develop cutting-edge solutions to maximize the performance, scalability, and distributed processing capabilities of the system.
• Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team.
• Work with development teams in an agile context as it relates to software development, including Kanban, automated unit testing, test fixtures, and pair programming.

Qualifications

• 5-8 years experience as a Python developer on enterprise projects using Python, Flask, FastAPI, Django, PyTest, Celery and other Python frameworks.
• Software development experience including: object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.
• Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.
• Proficiency with Git as a version control system
• Experience with Docker and Kubernetes
• Experience with relational SQL and NoSQL databases, including MongoDB and MSSQL.
• Experience with object-oriented languages: Python, Java, Scala, C#, etc.
• Experience with testing tools such as PyTest, Wiremock, xUnit, mocking frameworks, etc.
• Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI
• Excellent problem solving and communication skills.

• Backend development along with team management
• Hands on experience in product development 
• Preferred candidates from Fintech and Banking sectors
• Exp in Python / Java slong with databases like MySQL, NoSQL, etc
• Knowledge of Agile methodology

• Expert in Python, with knowledge of Python web framework Django
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Basic understanding of front-end technologies, such as JavaScript, HTML5 and CSS3
• Familiarity with event-driven programming in Python
• Strong experience on Linux
• Solid database skills in a relational database (i. e. PostgresSQL)
• Able to create database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools (git)
• Experience on RESTful APIs
• Experience deploying on AWS is desirable
• Experience on Automation Builds using Jenkins and other popular frameworks
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
• Excellent interpersonal, leadership, influence and communication skills
• Experience in designing scalable micro-services is desirable

Description:

For over 10 years, Zscaler has been disrupting and transforming the security industry. Our 100% purpose-built cloud platform delivers the entire gateway security stack as a service through 150 global data centers to securely connect users to their applications, regardless of device, location, or network in over 185 countries protecting over 3,900 companies and have detected 100 Million threats/day. 

We work in a fast-paced, dynamic and make it happen culture. Our people are some of the brightest and passionate in the industry that thrives on being the first to solve problems.  We are always looking to hire highly passionate, collaborative and humble people that want to make a difference.

About the role :

This is a senior staff backend engineer role in the engineering team that designs, implements and maintains our state of the art product IllusionBLACK. The team is responsible for designing and implementing secure, highly performant and maintainable product.

Responsibilities:

• Architect, develop and maintain high performance, fault tolerant and scalable cloud hosted service using NodeJS
• End to end responsibility to continuously create and monitor the services you build
• Help design reusable and clean API's for our frontend React app
• Guide team members with handling complex issues
• You will also be responsible for database schema design and development of migration scripts
• Experiment with new technologies and ideas and help shape our stack and processes

Requirement:

• 10+ years professional SW development experience
• All our production applications are built with either Typescript or Python. You must have a strong understanding of NodeJS express apps written in Typescript and ES6
• Must have good experience with Python
• Solid experience with databases is a must. We use and love Postgres here at Smokescreen
• You should be able to design a complex database SQL schema normalized to 3NF on the back of a napkin at 3am in the morning
• Deep understanding and working knowledge of Redis cache
• Experience with Solr or Elasticsearch is a must. We use Solr for our event analytics exclusively
• Experience with AWS, Azure or GCP is a plus. We have a large distributed application running on AWS
• Experience with Docker/Swarm is a plus
• Experience in some stream processing platforms like Kafka/Redis stream is a plus

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.

• Identify bad code practices in Python and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 2 years of professional software development experience in Python.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Python best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.