Job description

We’re looking for a Software Engineering Senior Manager to lead the team responsible for scaling and productionizing applications within our federal solutions portfolio. You will partner with AI engineers, software developers, product leaders, and program stakeholders to solve mission-centric problems across a variety of customer environments, from commercial cloud to AWS GovCloud to fully disconnected networks. Your specific focus will be on building and leading a high-performing engineering team that makes our applications performant, scalable, secure, and durable. You will set technical direction, establish clear ownership and delivery practices, develop engineering talent, and guide solutions through the accreditation gauntlet that stands between working software and software the mission can use in real-world environments. The Impact At Seekr, we move fast and value flexible thinkers who embrace a growth mindset. Federal work rewards a specific kind of adaptability: requirements get tweaked in real time, the deployment target changes, user feedback loops run through environments you cannot access directly, and the security posture you designed against gets a new control overlay two weeks before delivery. Leaders who can help their teams absorb that churn without losing the thread will make an immediate impact here. You will be accountable for how our federal solutions are staffed, built, deployed, and accredited, and for ensuring the team’s decisions hold up for years across multiple programs. Duties and Responsibilities Lead and develop a team of software engineers working closely with AI engineers to ship high-quality, production-ready features Own team execution and the path from functional prototype to stable, scalable, accredited service Set technical direction, drive sound decision-making, and establish and enforce engineering best practices across the federal engineering team Guide the design and delivery of systems that satisfy security controls as a first-class requirement rather than a post-hoc remediation exercise Ensure the team builds and maintains hardened container images, CI/CD pipelines, and deployment artifacts for cloud and restricted or air-gapped environments Lead incident response and root cause analysis for production issues in environments with limited observability and access Partner with Product, Program, Security, and customer-facing leaders to prioritize work, manage delivery risk, and translate requirements into actionable engineering plans Hire, coach, and retain engineers; set clear expectations; provide regular feedback; and create development opportunities through code review, design review, pairing, and delegated ownership Required Qualifications 6+ years of professional software engineering experience, including 1+ years leading engineering teams that build and operate large-scale distributed systems Bachelor’s degree in computer science or a related field, or equivalent professional experience Demonstrated success leading engineers and delivering production systems, with sufficient technical depth to guide architecture, debugging, and operational decisions Technical depth and applied experience sufficient to lead teams working in: Python (async patterns, packaging, dependency management) PostgreSQL or a comparable RDBMS RESTful API design (FastAPI preferred) Containerization and orchestration (Docker, Kubernetes, Helm) Distributed systems (particular emphasis on fundamentals: idempotency, retries, eventual consistency, queueing, failure isolation, graceful degradation, etc.) CI/CD (GitLab CI preferred) Automated testing (unit, integration, E2E) Observability (structured logging, performance metrics, tracing) Strong written and verbal communication skills with both technical and non-technical audiences What We’re Looking for in Practice You can explain the tradeoffs behind your team’s architecture decisions, including decisions that did not work and how you helped the team adapt You can help a team debug a system it did not build in an environment it cannot reproduce locally, using limited evidence such as logs and a stack trace You establish responsible team practices for AI coding assistants (Claude Code, Codex, Cursor, and similar), using them as accelerants while maintaining clear standards for review, testing, security, and ownership of all code that ships You have led teams shipping AI-backed features (LLM inference, agents, retrieval), understand where they are appropriate and where they are not, and have the judgment to guide the team toward the simplest solution that solves the problem at hand This range reflects Seekr’s good faith estimate of what it expects to pay for this role at the time of posting. Placement within the range depends on a number of factors, including but not limited to geographic location, applicable labor categories under Seekr’s federal government contracts, relevant prior work experience, specific skills, education, and certifications. This role may also be eligible for annual bonus, equity, other other incentive compensation. The proposed salary range for this position is: $200,000 — $275,000 USD About the Company: Seekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure, auditable AI solutions tailored to sectors where transparency, accuracy, and compliance are paramount. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society’s most sensitive and vital systems. Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom, and critical infrastructure leaders to enable AI solutions that drive real-world results with unmatched transparency and control. We are a team of strategic thinkers and problem-solvers tackling the toughest challenges facing critical infrastructure and global enterprises through best-in-class AI models and customer deployment. Our team operates with unwavering commitment to our core values and mission: We are driven by outcomes—our customers' success is what we strive for every day. We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle. We take our responsibility to deliver secure AI seriously. We believe innovation drives progress—we are building the technologies that power the systems our society depends on. Company Benefits: Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter. Equity Ownership – RSUs that let you share directly in Seekr’s long‑term success and growth. Time Off That Respects Real Life – Unlimited PTO plus 14 paid company holidays to truly recharge. Work Your Way – A flexible hybrid work environment with offices in Reston, VA and Austin, TX. Competitive Total Rewards – A role‑appropriate compensation structure that supports long‑term growth, including base salary, bonuses, or commission plans depending on role. 401(k) with Company Match – Build your future with a retirement plan that includes employer matching. Comprehensive Health & Wellness – Medical, dental, vision, and life insurance coverage starting day one—for you and your family. Parental Leave – Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement. Important Notice: To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce. Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Requirements

Must-haves

Duties and Responsibilities
Lead and develop a team of software engineers working closely with AI engineers to ship high-quality, production-ready features
Own team execution and the path from functional prototype to stable, scalable, accredited service
Set technical direction, drive sound decision-making, and establish and enforce engineering best practices across the federal engineering team
Guide the design and delivery of systems that satisfy security controls as a first-class requirement rather than a post-hoc remediation exercise
Ensure the team builds and maintains hardened container images, CI/CD pipelines, and deployment artifacts for cloud and restricted or air-gapped environments
Lead incident response and root cause analysis for production issues in environments with limited observability and access
Partner with Product, Program, Security, and customer-facing leaders to prioritize work, manage delivery risk, and translate requirements into actionable engineering plans
Hire, coach, and retain engineers; set clear expectations; provide regular feedback; and create development opportunities through code review, design review, pairing, and delegated ownership
6+ years of professional software engineering experience, including 1+ years leading engineering teams that build and operate large-scale distributed systems
Bachelor’s degree in computer science or a related field, or equivalent professional experience
Demonstrated success leading engineers and delivering production systems, with sufficient technical depth to guide architecture, debugging, and operational decisions
Technical depth and applied experience sufficient to lead teams working in:
Python (async patterns, packaging, dependency management)
PostgreSQL or a comparable RDBMS
Containerization and orchestration (Docker, Kubernetes, Helm)
Distributed systems (particular emphasis on fundamentals: idempotency, retries, eventual consistency, queueing, failure isolation, graceful degradation, etc.)
Automated testing (unit, integration, E2E)
Observability (structured logging, performance metrics, tracing)
Strong written and verbal communication skills with both technical and non-technical audiences
What We’re Looking for in Practice
You can explain the tradeoffs behind your team’s architecture decisions, including decisions that did not work and how you helped the team adapt

Nice-to-haves

RESTful API design (FastAPI preferred)
CI/CD (GitLab CI preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsci/cdpythonapidockerkubernetesllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness