Senior Software Engineer, AI Platform Jobs

Our client, a growing fintech company, is hiring a Forward Deployed Engineer to join their team in New York City. The successful candidate will collaborate with finance, credit risk, servicing, collections and operations teams to automate manual processes using AI, while partnering with Product and Engineering to build AI solutions for merchants and partners.


Responsibilities

• Collaborate with business teams to understand their processes, identify improvements and define measurable outcomes.

• Lead projects from initial discovery and technical design through development, deployment and adoption.

• Develop reliable automations, data pipelines and AI agents that address business needs.

• Build evaluations to verify outputs before deployment and maintain accuracy as models, data and workflows evolve.

• Set up monitoring, exception handling and alerts with clear responsibilities and escalation procedures.

• Establish human review requirements, access controls, activity logging and boundaries for automated decisions.

• Work with Product and Engineering to develop customer-facing AI solutions that meet review and deployment standards.

• Develop reusable components, evaluation frameworks and deployment approaches to improve future delivery.

• Assess business results and present findings to senior leadership, including time savings, review and maintenance effort, and control effectiveness.

• Work closely with engineers in New York and India, using insights from deployments to shape the platform roadmap.

Skillset

• At least 3 years of experience in software engineering or technical deployment, including working directly with business users.

• Strong Python and SQL skills, with experience developing and maintaining production systems.

• Hands-on experience deploying LLM applications, including prompt engineering, AI agents and evaluation.

• Experience working with governed data in platforms, such as Databricks or ClickHouse.

• Ability to build reliable data pipelines, validate outputs and troubleshoot data quality issues.

• Strong discovery skills, with the ability to turn business workflows into clear technical requirements.

• Clear communication skills and confidence explaining technical decisions to nontechnical stakeholders.

• Ability to own delivery, navigate unclear requirements and identify valuable opportunities for automation.

• Experience in fintech, lending, payments, banking or another regulated environment is an advantage.

Benefits

• Salary: $145k - $195k.

• Equity.

Our client, an AI-driven healthcare organization, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will build and scale the infrastructure powering a real-time clinical monitoring platform, developing services that process high volumes of neurological data, support clinical workflows and deploy machine learning models into production.



Responsibilities

• Build and maintain Python and Go services to process and deliver real-time neurological data.

• Develop and optimise data models, ingestion pipelines and retention policies for high-frequency time-series data.

• Create and enhance APIs that underpin clinical workflows.

• Work alongside ML engineers to bring research models into production and ensure inference services run reliably.

• Strengthen platform performance and reliability through monitoring, alerting, capacity planning and incident reviews.

• Build software that meets regulated medical device standards, covering cybersecurity, traceability and change control.

• Own technical delivery from defining requirements through development, deployment and ongoing support.

Skillset

• At least 5 years' experience building and operating backend systems in production.

• Strong Python development skills, including testing and concurrency using threads, processes and asyncio.

• Hands-on experience with event-driven or stream-processing systems, including partitioning, checkpointing, backpressure and at-least-once delivery.

• Experience with containerisation and orchestration, preferably Kubernetes.

• Strong relational database skills, including schema design and query optimisation.

• A proactive, resourceful approach, with the ability to turn ambiguous requirements into reliable, monitored services.

• Clear communication skills, including the ability to explain technical decisions verbally and in writing.

• Experience with Go for networked or low-latency services and Azure services such as Event Hubs, Service Bus, Web PubSub, Blob Storage or AKS is a plus.

• Knowledge of large-scale data engineering, columnar formats such as Apache Arrow or Parquet, video processing or sub-second latency systems would be beneficial.

• Experience serving PyTorch models or developing healthcare technology and other regulated software would be an advantage.

Benefits

• Salary: $250k - $300k

• Equity.

• Comprehensive medical, dental and vision coverage.

Our client, a growing Healthtech organization, is hiring a Founding Principal Engineer to join their team in New York City. The successful candidate will lead the company's next phase of technical development, from shaping the technical strategy, building critical platform capabilities and guiding a distributed engineering team.


Responsibilities

• Shape the technical roadmap and architecture for telehealth services, electronic health records, clinician onboarding and patient-facing applications.

• Develop production software and tackle the platform's most demanding technical challenges.

• Assess whether to build solutions internally, purchase existing products or engage external partners.

• Lead and mentor offshore engineers, setting clear priorities and ensuring consistent delivery.

• Introduce engineering standards for code reviews, testing, deployments, on-call support and incident management.

• Ensure platform reliability and data security, with engineering practices that support HIPAA compliance and payer requirements.

• Drive practical AI adoption across clinical, operational and engineering processes.

• Develop and refine the technology stack, currently using TypeScript, Node.js, React and AWS.

• Collaborate with clinical, growth and operations teams to turn business requirements into clear technical delivery plans.

• Hire and onboard US-based engineers, shaping the team's structure, working practices and culture as the company grows.

Skillset

• At least 8 years' experience developing production software, including time in a Staff or Principal Engineer role.

• Strong full-stack engineering skills, covering database design, backend services and user interfaces.

• Proven ability to define architecture and deliver complex systems from initial design through to production.

• Experience leading engineering teams while remaining hands-on with development.

• A track record of raising engineering standards, mentoring developers and improving software quality.

• Experience working effectively with distributed or offshore engineering teams.

• Experience building software in regulated environments or systems with demanding reliability and data protection requirements.

• Sound technical judgement around security, reliability and data integrity, with healthcare experience an advantage.

• Ability to navigate ambiguity, manage competing priorities and deliver within a growing organisation.

• Strong communication skills, with confidence engaging senior leaders and explaining technical decisions to non-technical stakeholders.

Benefits

• Salary: $200k - $240k.

• Equity.

Our client, an early-stage AI Software company, is hiring a Senior AI /Machine Learning Platform Engineer to join their team in New York City. The successful candidate will develop the models and infrastructure powering diagnostics and customer experience, building shared AI capabilities across voice, chat and other agent workflows while taking ownership from data processing and model development through to deployment and continuous improvement.


Responsibilities

• Develop and operate machine learning infrastructure supporting search, retrieval, indexing, training, evaluation, inference and model deployment.

• Build and refine models for diagnostics, fault prediction, parts selection, ranking, information extraction and customer-support automation.

• Develop shared capabilities for voice and chat agents, covering context, memory, knowledge retrieval, tools, policies and continuity across channels.

• Create data and feedback pipelines drawing on service histories, technical documentation, equipment data, conversations, images and repair results.

• Maintain reliable distributed services, data pipelines, search systems and live inference through performance monitoring, capacity planning and failure recovery.

• Design evaluation frameworks that link model accuracy and retrieval quality to customer experience and repair outcomes.

• Turn conversation data, agent activity and human feedback into ongoing improvements to models and agent performance.

• Strengthen engineering workflows through automated testing, CI/CD, observability, reusable infrastructure and controls for AI-generated code.

• Collaborate with product engineers and domain experts to bring fast, explainable and dependable AI features into production.

• Make practical architecture decisions around internal development, third-party solutions, compute, storage, model providers and open-source tools.

Skillset

• At least 5 years' professional experience in software or machine learning engineering, including delivery of production systems.

• Strong coding skills in Python and TypeScript, with confidence working across models, backend systems, data platforms and cloud infrastructure.

• Sound knowledge of modern search and ML systems, including retrieval, indexing, evaluation, deployment and the challenges of models running in production.

• A strong understanding of distributed systems, performance tuning, reliability, observability and infrastructure costs.

• Experience applying AI development tools to increase productivity while maintaining engineering standards.

• The flexibility to move between research, infrastructure and product development as priorities evolve.

• An interest in creating reusable AI capabilities across diagnostics, customer support and multiple communication channels.

• A proactive approach, strong ownership and a focus on delivering measurable value to customers.

• Experience with ranking, recommendation engines, vector or graph search, multimodal models or real-time inference is desirable.

• Familiarity with ML platforms, evaluation frameworks, developer tools, GPUs, inference optimization, infrastructure as code or incident response would be an advantage.

Benefits

• Salary: $210k.

• Equity.

Our client, an early-stage HealthTech startup, is hiring a Senior Software Engineer to join their team in Manhattan, New York. The successful candidate will play a key role in building backend systems, helping make product decisions and turning emerging AI capabilities into software for healthcare teams across the U.S.


Responsibilities

• Design, develop and scale backend systems for an AI-powered healthcare platform.

• Own features from initial concept through to production.

• Work with users and the wider team to understand needs and shape product decisions.

• Research and test new AI capabilities, then turn promising approaches into reliable features.

• Help establish engineering practices as the team grows.

Skillset

• Bachelor's degree in computer science or similar.

• Strong backend engineering experience, ideally building a new product or scaling one through growth.

• Previous experience in a startup environment.

• Ability to work independently and make sound technical and product decisions.

• Experience building and scaling your own product is a bonus.

• Previous experience working in US healthcare or health technology would be an advantage.

Benefits

• Salary: $200k - $250k.

• Equity.

Our client, an AI-driven infrastructure company, are hiring a hands-on Head of Engineering to join their team in New York. The successful candidate will take ownership of the company's technical vision and architecture, helping the organization to build reliable, production-grade AI infrastructure designed to scale across increasingly complex enterprise environments.



Responsibilities

• Own the long-term technical strategy, architecture and engineering roadmap for the company's AI-native platform.

• Build, develop and lead a high-performing engineering team as the business scales.

• Establish engineering standards and development practices that promote quality, accountability and ownership.

• Lead the development of document processing, contract analysis, invoice verification and autonomous AI agent capabilities.

• Design scalable infrastructure for processing large volumes of structured and unstructured enterprise data.

• Ensure the platform remains secure, resilient, scalable and capable of meeting complex enterprise requirements.

• Partner with the CEO and commercial leadership to align technical priorities with customer needs and business objectives.

• Remain hands-on with architecture and complex technical decisions, providing guidance and challenge where required.

• Communicate the company's technical vision to customers, prospects, partners and investors.

• Balance rapid product development with the robust technical foundations required for long-term growth.

Skillset

• Extensive hands-on software engineering experience, with a strong track record of building and deploying production systems at scale.

• Experience working within an early-stage, high-growth or rapidly scaling technology company.

• Proven experience hiring, developing, and leading high-performing engineering teams.

• Strong expertise in designing, building, and operating production-grade AI and LLM applications.

• Hands-on knowledge of RAG, LLM orchestration, AI agents and evaluation frameworks.

• Experience developing data-intensive platforms that process large volumes of structured and unstructured data.

• Strong knowledge of backend architecture, data pipelines, distributed systems, and search technologies.

• Experience building enterprise software with a focus on security, compliance, integrations and multi-tenant architecture.

• The technical depth to review code, assess architectural decisions and work closely with senior engineers on complex challenges.

• Strong commercial awareness with the ability to translate business requirements and customer needs into an effective technical strategy.

Benefits

• Salary: $220k - $250k.

• Equity.

Our client, an early-stage AI startup, are hiring a Senior Software Engineer to join the team in New York.  The successful candidate will own a critical part of the future accounting technology stack, working directly with customers to understand their challenges, design effective solutions and build systems that replace complex manual processes.


Responsibilities

• Own the end-to-end development of a core finance domain and its supporting technology.

• Design reliable AI agents that finance teams and auditors can understand and trust.

• Develop verification, guardrail, monitoring and evaluation systems for nondeterministic AI.

• Build financial context across transactions, ledgers, contracts, policies and historical decisions.

• Integrate, standardize and reconcile data from ERPs, banks, payroll systems, billing platforms, CRMs and email.

• Create durable and replay-safe workflows across complex stateful enterprise systems.

• Develop secure and fully traceable write-back capabilities for financial systems.

• Work directly with customers to understand finance processes and translate them into production software.

• Contribute to technical decisions across LLM pipelines, infrastructure, backend systems and user experience.

• Use AI coding agents to accelerate development and deliver high-quality production systems.

Skillset

• At least 5 years of software engineering experience focused on backend development or infrastructure.

• Strong programming experience with Python, Go, Java, Rust or another modern backend language.

• The ability to quickly become productive within a Python-based environment.

• Experience building complex backend systems including distributed pipelines, transactional platforms, ledger systems, integrations or workflow engines.

• Previous experience working within an early-stage startup from pre-seed through Series B.

• Ability to work directly with customers and translate operational challenges into scalable software.

• Experience within fintech, accounting, payments, banking, treasury, audit, ERP or compliance technology.

• Experience building production AI agents, evaluation frameworks, verification systems or AI observability platforms.

• Knowledge of data warehouses, financial systems and enterprise integrations.

• Strong system design, product judgment and problem-solving skills.

Benefits

• Salary: $180k - $220k.

• Early-stage equity.

• Full medical, dental and vision coverage.

• A 401(k) contribution match.

Our client, early-stage Fintech company in San Francisco, are hiring a Senior Software Engineer to join the team remotely. The successful candidate will become the founding engineer for the company's Vault product, taking ownership of designing and building the systems that connect software with real-world operations, including the automation of asset intake, inventory management and more.



Responsibilities

• Take end-to-end ownership of the Vault technology platform, leading systems and features from architecture and technical design through development, deployment and user experience.

• Design and automate the physical asset intake workflow, covering receiving, scanning, inventory processing, exception management and quality control.

• Build and scale Vault-as-a-Service, including account infrastructure, billing and APIs that enable enterprise partners to programmatically store, manage and ship assets.

• Develop resilient partner integration infrastructure capable of handling malformed data, duplicate submissions, out-of-order events, retries and SLA failures.

• Build and enhance the asset imaging and digitization platform, including image capture, lighting workflows, automated validation and 360-degree digital representations.

• Apply computer vision and AI models to automate quality assurance and detect imaging, labelling and inventory discrepancies before they impact customers.

• Develop AI agents and operational automation to investigate exceptions, identify recurring issues, surface root causes and reduce manual intervention.

• Create scalable tooling and data infrastructure that enables the rapid introduction of new asset classes, including schema creation, information extraction and classification.

• Build MCP servers, AI integrations, and agent-based workflows that make Vault inventory, asset status and event history easier for teams to access and manage.

• Provide technical leadership as the Vault engineering team grows, contributing to architectural decisions, code reviews, engineering standards, documentation and mentorship.

Skillset

• At least 5 years of professional software engineering experience, with a strong track record of building, shipping and operating production-grade applications.

• Strong backend engineering skills using Python, PostgreSQL, AWS or comparable technologies.

• Strong frontend development experience with React, React Native, JavaScript and/or TypeScript.

• Proven ability to take end-to-end ownership of complex systems, from architecture and technical design through implementation, deployment and user experience.

• Experience designing and building APIs, third-party integrations, event-driven systems, workflow automation and internal operational tooling.

• Strong understanding of system reliability, scalability, SLAs, performance, failure handling and production operations.

• Hands-on experience with AI-enabled engineering and automation, ideally including AI agents, computer vision, MCP servers, connectors or production AI tooling.

• Experience solving engineering challenges that connect software with physical-world operations, such as logistics, fulfilment, imaging, inventory, shipping or asset management.

• Strong product and commercial mindset, with an understanding of how engineering decisions influence customer experience, operational performance and business outcomes.

• Comfortable working in a fast-paced, high-ownership environment, making pragmatic technical decisions and moving quickly while maintaining high standards of reliability.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Medical, dental, and vision coverage.

• 401(k).

• Remote working.

Our client, early-stage Fintech company in San Francisco, are hiring a Senior Software Engineer to join the team remotely. The successful candidate will build and evolve the double-entry ledger that serves as the platform's financial system of record, while playing a key role in shaping the next generation of the platform, including a major ledger rebuild and the expansion of payment infrastructure.


Responsibilities

• Own and evolve the double-entry ledger, covering transactions, balances, holds, reversals, payment states, point-in-time balances and comprehensive audit trails.

• Design and build highly reliable money-movement infrastructure across ACH, instant payments, wires, cards and emerging settlement rails.

• Develop scalable payout and settlement systems, supporting instant payouts, batch processing and high-volume marketplace transactions.

• Build automated reconciliation systems that detect and resolve discrepancies across internal ledgers, banking partners and payment processors.

• Design and scale the infrastructure underpinning lending products, including disbursements, repayments, partial payments, reversals and complex loan lifecycles.

• Build resilient multi-provider payment architecture, incorporating webhooks, idempotency, retries, state machines and robust failure handling.

• Develop controls for high-value financial transactions, including fraud prevention, disputes, chargebacks, limits, holds and settlement management.

• Ensure complex financial activity is translated into a clear and intuitive customer experience, including balances, transaction histories, funding sources and settlement activity.

• Make pragmatic architectural decisions that balance delivery speed with financial accuracy, reliability, scalability and long-term maintainability.

• Provide senior technical leadership through architecture, code reviews, documentation and mentorship, raising engineering standards across the team.

Skillset

• Minimum of 5 years of professional software engineering experience, with a strong focus on backend, payments, fintech or financial systems.

• Strong proficiency in Python, PostgreSQL, AWS, SQL and relational data modelling.

• Hands-on experience building and operating real-world money movement systems, including ACH, instant payments, wires, cards or comparable payment rails.

• Experience designing, building, migrating or owning a double-entry ledger in a production environment.

• Strong understanding of webhooks, idempotency, race conditions, state machines, eventual consistency and reconciliation.

• Experience building highly reliable systems for high-value financial transactions, where accuracy, resilience and traceability are critical.

• Strong knowledge of transactional database architecture, particularly for high-volume, concurrent and financially sensitive workloads.

• Experience within payments, fintech, lending, marketplaces or other complex financial transaction environments.

• Strong ownership and product mindset, with the ability to balance speed, financial correctness, customer experience and long-term architecture.

• Experience with React and TypeScript would be a plus.

Benefits

• Salary: $140k - $180k DOE.

• Equity.

• Medical, dental, and vision coverage.

• 401(k).

• Remote working.

Our client, a fast-growing AI FinTech company, is hiring a Staff-Level Software Engineer to join their team in New York. The successful candidate will take ownership of the foundational platform systems powering the company's AI products, building shared infrastructure that enables engineering teams to develop and deploy reliable, scalable AI solutions.


Responsibilities

• Design and develop the core AI agent platform, building shared frameworks for context management, verification, guardrails, evaluation, observability and developer tooling.

• Architect the financial context layer that enables AI agents to reason across ledger data, accounting policies, contracts, historical decisions, dimensions and permissions.

• Define and implement standards for AI reliability, auditability, verification and evaluation, ensuring AI-generated outputs can be trusted within critical financial workflows.

• Build scalable financial data infrastructure for ingesting, normalizing, reconciling and modeling data from ERPs, banks, billing, payroll, CRM and other enterprise systems.

• Design reliable orchestration systems capable of supporting complex, long-running and stateful AI workflows.

• Develop secure and fully traceable mechanisms for writing AI-generated actions back to ERPs and financial systems of record.

• Identify architectural bottlenecks and create reusable platforms, frameworks and abstractions that improve engineering productivity across the organization.

• Lead key architectural decisions across distributed systems, AI infrastructure, data platforms, enterprise integrations and product architecture.

• Collaborate directly with accountants, controllers, CFOs and customers to understand complex financial processes and translate them into scalable production systems.

• Remain deeply hands-on, using modern AI development and coding tools to design, build, test and ship production-grade systems.

Skillset

• At least 8 years of professional software engineering experience, including experience operating at Staff, Principal or equivalent senior IC level.

• Deep expertise in backend engineering and distributed systems, including areas such as data infrastructure, workflow engines, transactional systems, integration platforms or AI agent platforms.

• Strong programming skills in Python, Go, Java, Rust or a comparable modern language, with the ability to quickly become productive in Python.

• Proven experience designing platform infrastructure, frameworks and architectural abstractions that support multiple engineering teams and products.

• Track record of leading significant technical and architectural decisions, particularly within ambiguous, rapidly evolving environments.

• Strong understanding of system reliability, scalability, observability, data integrity, security and production infrastructure.

• Ability to quickly understand complex business domains and translate workflows and requirements into scalable, reusable technical solutions.

• A high-ownership approach, with the ability to identify problems, define solutions, make technical decisions and deliver with minimal direction.

• Experience working within an early-stage technology company, ideally from pre-seed through Series B.

• Comfortable remaining deeply hands-on across AI systems, backend engineering, infrastructure, data platforms and product development.

Benefits

• Salary: $200k - $250k DOE.

• Equity:

• Comprehensive medical, dental and vision insurance.

• 401(k) match.

Our client is a venture-backed fintech startup, is hiring a hands-on Head of Engineering to join the team full-time in New York. The successful candidate will take full ownership of the company's technical direction, leading decisions across architecture, backend engineering, data, infrastructure, integrations and security, as well as building and shipping the company's most critical systems while defining the engineering standards that will support the team's growth.


Responsibilities

• Design and own a multi-tenant authorization architecture that controls access to sensitive information at the system level.

• Develop and maintain credentialed integrations, beginning with the IRS and expanding to credit bureaus, government systems, courts and financial institutions.

• Manage complex third-party API workflows, including credential lifecycles, data reconciliation, asynchronous processing, webhook failures, retries and exception handling.

• Establish and maintain a robust security and privacy framework covering PII encryption, access controls, secrets management, audit logging, monitoring and incident response.

• Build systems that protect data provenance, accuracy, and defensibility, ensuring every material value can be traced to its original source.

• Lead critical architectural decisions across backend systems, data infrastructure, application security, reliability and scalability.

• Write and ship production code, particularly for the company's most sensitive and technically complex systems.

• Define and uphold engineering standards across code quality, testing, documentation, observability, ownership and operational readiness.

• Recruit, assess, mentor and lead the engineers who will help build and scale the platform.

Skillset

• Extensive experience designing, building and operating production systems that manage regulated, confidential or highly sensitive information.

• A hands-on approach, with the ability and willingness to write code and personally deliver critical production systems.

• Strong technical expertise across backend engineering, systems architecture, data engineering, infrastructure and security.

• Proven experience delivering software where errors carry significant financial, legal, regulatory or operational consequences.

• The ability to design secure, reliable, traceable and defensible systems, and clearly explain the architectural decisions behind them.

• Experience owning complex integrations involving third-party APIs, credential chains, webhooks, asynchronous workflows, reconciliation processes and inconsistent data.

• Strong knowledge of multi-tenant authorization, granular permission models, encryption, audit trails, monitoring and incident-response procedures.

• Experience taking final responsibility for critical technical decisions and owning the resulting outcomes.

• The ability to balance rapid execution with the accuracy and rigor required when handling sensitive financial and personal information.

• Previous experience as a Head of Engineering, founding engineer, technical founder, or senior engineering leader within an early-stage company, ideally within fintech, legal or another regulated sector.

Benefits

• Salary: $225k - $275k DOE.

• Meaningful equity.

• Medical, Dental and Vision insurance.

Our client, an AI-driven company within the real estate sector, is hiring a Senior Software Engineer to join their team in New York. The successful candidate will play a key role in designing and delivering scalable systems that address complex, high-impact challenges.


Responsibilities

• Design, build and deliver production-grade software across the company's AI platform.

• Own major systems end to end, from architecture decisions through to implementation and delivery.

• Work closely with the CTO and founding team to define product direction and technical strategy.

• Build AI-powered workflows, including LLM pipelines and agentic systems where accuracy and reliability are critical.

• Develop solutions for complex legal, financial and institutional data challenges.

• Make thoughtful architecture decisions and solve complex engineering problems in ambiguous environments.

• Champion software quality, data integrity, security and reliability across the platform.

• Collaborate cross-functionally to deliver intuitive products for families and professionals.

Skillset

• At least 5 years of experience designing, building and delivering production-grade software solutions.

• Strong programming skills with Python and/or TypeScript.

• Proven experience designing scalable systems and making effective architecture decisions.

• Familiarity with LLM pipelines, AI agents, or the ability to quickly learn and apply emerging AI technologies.

• Strong focus on software correctness, reliability and working with sensitive or regulated data.

• Experience working with databases such as PostgreSQL and data-intensive systems.

• Strong problem-solving skills with a proactive approach to delivering impactful solutions.

• Experience working within fintech, legaltech, healthtech or other regulated industries is a plus.

• Previous startup experience is a bonus.

Benefits

• Salary: $170k - $230k

• Equity.

• Health insurance.

• 401(k).

Our client, a fast-growing AI technology company is hiring a hands-on Director of Software Engineering to join the team in Cleveland, Ohio. The successful candidate will provide strategic and technical leadership across multiple engineering teams, from building high-performing teams, scaling complex software platforms, strengthening engineering practices, and delivering secure, reliable, enterprise-grade technology.


Responsibilities

• Provide strategic and technical leadership across multiple software engineering teams.

• Develop engineering roadmaps aligned with business objectives, product strategy and organizational growth.

• Lead, mentor and develop Engineering Managers and Senior Engineers while building high-performing teams.

• Oversee the delivery of complex software initiatives, ensuring quality, reliability and timely execution.

• Establish engineering standards, architectural principles, coding practices and operational best practices.

• Guide system architecture, scalability, platform modernisation and long-term technical strategy.

• Ensure software solutions meet high standards for performance, security, reliability and availability.

• Drive continuous improvement across Agile, DevOps, CI/CD and quality assurance practices.

• Partner with Product, Data, Security, Infrastructure and other cross-functional teams to align priorities and delivery.

• Communicate engineering strategy, performance, risks and priorities to senior and executive stakeholders.

Skillset

• Bachelor's or Master's degree in Computer Science, Engineering or similar.

• At least 10 years of software engineering experience, including a minimum of 5 years in senior engineering leadership roles.

• Proven track record leading large, distributed or multidisciplinary engineering teams.

• Strong expertise in modern software development, cloud architecture, DevOps and CI/CD practices.

• Experience designing and delivering scalable enterprise software, microservices, APIs and distributed systems.

• Demonstrated success delivering complex software products and platforms at scale.

• Strong understanding of high-availability, secure, and resilient systems.

• Hands-on experience with AWS, Azure, or GCP, alongside Kubernetes, containers and Infrastructure as Code.

• Excellent leadership, communication, stakeholder management and strategic decision-making skills.

• Experience managing engineering budgets, workforce planning and operational performance.

Benefits

• Salary: $150k - $200k.

• Performance Bonus.